<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" media="screen" href="/~d/styles/rss2enclosuresfull.xsl"?><?xml-stylesheet type="text/css" media="screen" href="http://feeds.feedburner.com/~d/styles/itemcontent.css"?><rss xmlns:media="http://search.yahoo.com/mrss/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:feedburner="http://rssnamespace.org/feedburner/ext/1.0" version="2.0"><channel><title>Jigar Patel</title><link>http://www.jigarbm.com/</link><atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="self" type="application/rss+xml" href="http://feeds.feedburner.com/Jigarbm" /><description></description><language>en</language><managingEditor>jigarbm@gmail.com (Jigar Patel)</managingEditor><lastBuildDate>Thu, 11 Mar 2010 16:28:05 PST</lastBuildDate><generator>Blogger http://www.blogger.com</generator><openSearch:totalResults xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/">15</openSearch:totalResults><openSearch:startIndex xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/">1</openSearch:startIndex><openSearch:itemsPerPage xmlns:openSearch="http://a9.com/-/spec/opensearch/1.1/">25</openSearch:itemsPerPage><feedburner:info uri="jigarbm" /><atom10:link xmlns:atom10="http://www.w3.org/2005/Atom" rel="hub" href="http://pubsubhubbub.appspot.com/" /><media:category scheme="http://www.itunes.com/dtds/podcast-1.0.dtd">Education/Educational Technology</media:category><media:category scheme="http://www.itunes.com/dtds/podcast-1.0.dtd">Science &amp; Medicine/Medicine</media:category><media:category scheme="http://www.itunes.com/dtds/podcast-1.0.dtd">Music</media:category><media:category scheme="http://www.itunes.com/dtds/podcast-1.0.dtd">Technology/Tech News</media:category><media:category scheme="http://www.itunes.com/dtds/podcast-1.0.dtd">Technology/Gadgets</media:category><itunes:owner><itunes:email>jigarbm@gmail.com</itunes:email></itunes:owner><itunes:explicit>yes</itunes:explicit><itunes:subtitle>Well Come To JIGAR PATEL's World</itunes:subtitle><itunes:category text="Education"><itunes:category text="Educational Technology" /></itunes:category><itunes:category text="Science &amp; Medicine"><itunes:category text="Medicine" /></itunes:category><itunes:category text="Music" /><itunes:category text="Technology"><itunes:category text="Tech News" /></itunes:category><itunes:category text="Technology"><itunes:category text="Gadgets" /></itunes:category><item><title>Hunt for India's Best Engineer</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/KwN4ZE6oJNo/hunt-for-indias-best-engineer.html</link><category>Career</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:16:43 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-7836658183726577472</guid><description>&lt;div style="color: white;"&gt;All India Engineering Project Innovation Contest (AIEPIC) 2010 is a nationwide contest that will challenge, motivate and facilitate graduating engineers from over 3000 colleges in India to build their final year project as a showcase of their engineering prowess and will reward them by recognizing best projects on state and national level with a unique industry, media and academic partnership. Companies like Microsoft, IBM, NetApp, EMC, Yahoo!, Mindlogicx, Tibco and CA are supporting this initiative.&lt;br /&gt;
&lt;br /&gt;
If you are a final year engineering or MCA graduate student, register for AIEPIC now. There are exciting prizes to be won.&lt;br /&gt;
&lt;br /&gt;
By participating in AIEPIC you benefit from:&lt;br /&gt;
&lt;br /&gt;
1. Exposure: You can see how engineers across India are working on interesting projects. You can connect &amp;amp; interact with them. Visit Competition Zone in AIEPIC site.&lt;br /&gt;
2. Internship: You will get internship opportunities from companies like Microsoft, Yahoo!, IBM, CA, NetApp, EMC, Tibco and Mindlogicx based on your performance in projects.&lt;br /&gt;
3. Mentorship: You have more than 3000 professionals with several years of work experience volunteering to mentor you. You can interact with these experts and enhance the technical depth of your project.&lt;br /&gt;
4. Employability: You get direct visibility among HR managers of several leading technology companies thereby increasing your chances to find your dream job.&lt;br /&gt;
&lt;br /&gt;
AIEPIC aims to identify, promote and reward outstanding engineering talent.&lt;br /&gt;
&lt;br /&gt;
Register NOW: &lt;a href="http://www.siliconindia.com/aiepic/register.php"&gt;http://www.siliconindia.com/aiepic/register.php&lt;/a&gt;&lt;br /&gt;
Thanks&lt;br /&gt;
&lt;br /&gt;
AIEPIC Team &lt;/div&gt;&lt;div style="color: white;"&gt;&lt;br /&gt;
&lt;/div&gt;&lt;div style="color: white;"&gt;&lt;br /&gt;
From : &lt;a href="http://www.siliconindia.com/"&gt;http://www.siliconindia.com/&lt;/a&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-7836658183726577472?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/KwN4ZE6oJNo" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:16:43.534-08:00</app:edited><feedburner:origLink>http://www.jigarbm.com/2010/01/hunt-for-indias-best-engineer.html</feedburner:origLink></item><item><title>Biomedical Projects Title Bio-Instumentation</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/FPRwg7jNzMM/biomedical-projects-title-bio.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:03:29 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-7353781359992111736</guid><description>&lt;b style="color: white;"&gt;&lt;/b&gt;&lt;span style="color: white;"&gt;1.) Continuous Monitoring of Electrode–Skin Impedance Mismatch During Bioelectric Recordings&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Automatic System to Test Semiautomatic External Defibrillators&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) System to measure laughing&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) The lie detector&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Low energy defibrillation method&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Non-Invasive diagnosis of urinary bladder outlet obstruction&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Dry electrodes for multiple biosignals recordings&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Ventilator patient monitor&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Continuous patient monitoring in anaesthesia using head-mounted displays&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Development of a paediatric flow sensor for sleep investigation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Auscultatory monitoring system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Blood pressure monitor&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) Continuous Blood Pressure Monitoring using Pulse Wave Transit Time&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Electronic blood pressure and pulse rate calculator with optional temperature indicator, timer and memory&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) Cuffless Blood Pressure Monitoring Using Hydrostatic Pressure Changes&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) Device, system &amp;amp; method for vital signs monitoring&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) Continuous, non invasive technique for measuring blood pressure using impedance plethysmography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;18.) Physiological signal monitoring system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;19.) Device for neuro-stimulation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;20.) Reconfigurable Intelligent Sensors for Health Monitoring&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;21.) Guidance of a wheelchair using electro-oculography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;22.) A portable near infrared spectroscopy system for bedside monitoring of newborn brain&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;23.) System for long-term measurement of cerebral blood flow and tissue oxygenation on newborn infants by infrared transillumination&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;24.) Artificial sleep inducer&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;25.) Control and communication for physically disabled people, based on vestigial signals from the body&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;26.) A microcomputer keyboard substitute for the disabled&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;27.) Eye movement control of computer functions&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;28.) An electro-oculogram based system for communication and control using target position variation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;29.) Instrumentation for ENG and EMG recording in FES system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;30.) Textile-Embedded Sensors for Wearable Physiological Monitoring Systems&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;31.) Functional Electrical Stimulation (FES) with Smart Textile Electrodes&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;32.) Capacitive non-woven fabric sensors for respiration monitoring&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;33.) Detection of airway obstruction and sleep apnea by analyzing the phase relation of respiration movement signals&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;34.) Automated breath detection on long-duration signals using feed forward back propagation artificial neural networks&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;35.) Wearable Forehead Pulse Oximetry&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;36.) Extracting Heart Rate Variability from a Wearable Reflectance Pulse Oximeter&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;37.) Artifact-Resistant Power-Efficient Design of Finger-Ring Plethysmographic Sensors&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;38.) Biomimetic sound localization&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;39.) Hearing aid simulator&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;40.) FPGA-based Sleep Apnea Screening Device for Home Monitoring&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;41.) Epileptic Seizure Detection/Prediction/&lt;/span&gt;&lt;br /&gt;
&lt;div style="color: white; font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;&lt;wbr&gt;&lt;/wbr&gt;Localization&lt;br /&gt;
42.) Wireless Heart Rate meter (cardiotachograph)&lt;br /&gt;
43.) Electronic stethoscope&lt;br /&gt;
44.) Microcomputer-based system for data acquisition and analysis of oxygen uptake studies&lt;br /&gt;
45.) Wrist Proprioception Testing System&lt;br /&gt;
46.) Non-invasive, In-vivo Monitoring of Blood Glucose Using Near Infrared spectroscopic Techniques&lt;br /&gt;
47.) Design of urinary bladder pressure detection device&lt;br /&gt;
48.) Automatic examination systems for vestibulo-ocular reflex function test&lt;br /&gt;
49.) Rapid Eye Movement Detection of the Newborn using neural networks&lt;br /&gt;
50.) Early Diagnosis of choloruquine Toxicity on Human Visual Systam Using Electroculogram (EOG)&lt;br /&gt;
51.) Electro-Oculography Mouse for Amyotrophic Lateral Sclerosis Patients&lt;br /&gt;
52.) Automatic detection of nausea using biosignals during immerging in a virtual reality environment&lt;br /&gt;
53.) Integrating Psychophysiological Measures of Cognitive Workload and Eye Movements to Detect Strategy Shifts&lt;br /&gt;
54.) Thinking state monitoring using plural physiological signals&lt;br /&gt;
55.) System for Assisted Mobility Using Eye Movements Based on Electrooculography&lt;br /&gt;
56.) Multisensor Data Fusion and Control for Complex Neural Interface System of biosignals&lt;br /&gt;
57.) The Human-Based Multisensor Fusion Method for Artificial Nose and Tongue Sensor&lt;br /&gt;
Data&lt;br /&gt;
58.) Multisensor Fusion far Atrial and Ventricular Activity Detection in Coronary Care Monitoring&lt;br /&gt;
59.) Wireless Head Cap for EOG and Facial EMG Measurements&lt;br /&gt;
60.) Wearable Wireless Biopotential Measurement Device&lt;br /&gt;
67.) Early detection of drowsiness using a neuro-fuzzy detector / A drowsy driver detection system for heavy vehicles&lt;br /&gt;
68.) Evaluation of Driver Stress Using Biomarker in Motor-vehicle Driving Simulator&lt;br /&gt;
69.) Hand-held monitor of sympathetic nervous system using salivary amylase activity and driver fatigue assessment&lt;br /&gt;
70.) Vibration stimulus of seat belt motor retractor for keeping drivers awake / Safety Driving System Based on Monitoring Eye Movements / Drowsiness Detection Using Spectrum Analysis Of Eye Movements And Effective Stimuli To Keep Drivers Awake&lt;br /&gt;
71.) Full-Time Wearable Headphone-Type Gaze Detector&lt;br /&gt;
72.) Automatic detection of slow wave sleep using two channel electrooculography&lt;br /&gt;
73.) Computer based sleep recording and analysis&lt;br /&gt;
74.) ECG, EOG detection from helmet based system&lt;br /&gt;
75.) Designing a Wearable Pulse Oximeter for Military Applications&lt;br /&gt;
76.) Stress Monitoring Using a Distributed Wireless Intelligent Sensor System&lt;br /&gt;
77.) Device to monitor retinal ischemia&lt;br /&gt;
78.) A tissue impedance measurement chip for myocardial ischemia detection&lt;br /&gt;
79.) System and method for detecting the onset of an obstructive sleep apnea event&lt;br /&gt;
80.) An visual display stethoscope for use in the auscultation of body sounds&lt;br /&gt;
81.) Plantar foot pressure measurement system to monitor and display pressure distribution at the sole of the feet of a diabetic patient having foot ulcer&lt;br /&gt;
82.) Personal computer control of electrochemical detectors utilized for mitochondrial studies&lt;br /&gt;
83.) OPTICAL SENSORS FOR HEART- AND RESPIRATORY RATE MEASUREMENTS&lt;br /&gt;
84.) Measurements of Heart Motion using Accelerometers&lt;br /&gt;
85.) Respiration-movement-based sleep apnea monitor&lt;br /&gt;
86.) TEMPERATURE MEASUREMENT IN PAGET'S DISEASE OF BONE&lt;br /&gt;
87.) Molecular &amp;amp; cellular studies using oral insulin delivery systems&lt;br /&gt;
88.) Expert System to Support the Diagnosis of Thyroid nodules&lt;br /&gt;
89.) MRI compatible infusion pump&lt;br /&gt;
90.) A portable patient training device for lung cancer treatment&lt;br /&gt;
91.) Eye drop device&lt;br /&gt;
92.) Eye movement measurement in MRI&lt;br /&gt;
93.) Multi-IV fluid feed system&lt;br /&gt;
94.) Portable computer-aided drug dispenser&lt;br /&gt;
95.) Automatic Metered Dose Inhalant (MDI) delivery device&lt;br /&gt;
96.) Tongue pressure sensor system&lt;br /&gt;
97.) Development of an exhaled breath condensate system for use during exercise&lt;br /&gt;
98.) Design of Epilepsy monitor&lt;br /&gt;
99.) An instrument of sound and visual creation driven by biological signals&lt;br /&gt;
100.) Prediction of Tumor Existence in the Virtual Soft Tissue by Using Tactile Tumor Detector&lt;br /&gt;
101.) A computerized Infusion Pump for control of tissue tracer concentration during Positron Emission Tomography in vivo Pharmacokinetic/&lt;wbr&gt;&lt;/wbr&gt;Pharmacodynamic measurements&lt;br /&gt;
102.) Biomedical electrode noise measurement system&lt;br /&gt;
103.) Wearable EDA (Electro-Dermal Activity) Sensor Gloves using Conducting Fabric and Embedded system&lt;br /&gt;
104.) Wrist Ambulatory Monitoring System and Smart Glove for Real Time Emotional, Sensorial and Physiological Analysis&lt;br /&gt;
&lt;br /&gt;
This post from http://www.mybiomedical.blogspot.com/&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-7353781359992111736?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/FPRwg7jNzMM" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:03:29.660-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-projects-title-bio.html</feedburner:origLink></item><item><title>Biomedical Projects Title : REHEB., RESPIRATION &amp; ROBOT PROJECTS</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/wTQJ3v2-vAs/biomedical-projects-title-reheb.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:04:16 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-7256114345094217522</guid><description>&lt;b style="color: white;"&gt;REHABILITATION / PROSTHESES / PHYSIOTHERAPY PROJECTS&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) A microcomputer keyboard substitute for the disabled&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Control and communication for physically disabled people, based on vestigial signals from the body&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Guidance of wheel chair using electro-oculography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Adaptive non contact gesture-based system for augmentative communication&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Low cost assist device for deaf and dum&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Hardware implementation of a stimulus artifact rejection algorithm in closed loop neuro-prosthesis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Design of myoelectric controlled prosthetic hand / arm / leg&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) A Hybrid Approach for Measurement of Normal Pressures Between Residual Limb and Prosthetic Socket&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Electrically driven artificial arm&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Multi-freedom myoelectric prostheses with tactile, temperature &amp;amp; pressure sensing&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Experimental development of a sensory control system for an upper limb myoelectric prosthesis with cosmetic covering&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) EMG Prosthetic Hand Controller Discriminating Ten Motions using Real-time Learning Method&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) Development of a Prosthetic Hand Using Adaptable Control Method for Human Characteristics&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Fuzzy-control of a hand orthosis for restoring tip pinch, lateral pinch, and cylindrical prehensions to patients with elbow flexion intact&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) A fuzzy clustering neural network architecture for multifunction upper-limb prosthesis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) Levenberg-Marquardt Based Neural Network Control for a Five-fingered Prosthetic Hand&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) Design and Control of an Exoskeleton System for Human Upper-Limb Motion Assist&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;18.) A Five-fingered Underactuated Prosthetic Hand Control Scheme&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;19.) A CAN-based distributed Control System for Upper Limb Myoelectric Prosthesis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;20.) Lift assist arm brace&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;21.) Simulation of an Above-Elbow Myoelectric Prosthetic Arm For Development of an Implanted Myoelectric Control System&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;22.) An Innovative High-Level Human-Robot Interaction for Disabled Persons&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;23.) Communication aid for speech disabled people using Morse codification&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;24.) Automatic Morse-Coded Recognition with Adaptive Variable-Ratio Threshold Prediction for Physically Impaired Persons / Unstable Morse code recognition system with back propagation neural network for person with disabilities / Unstable Morse code recognition system with Expert-Gating Neural network / Morse code recognition system with fuzzy algorithm for disabled persons&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;25.) EOG-Based Glasses-Type Wireless Mouse for the Disabled&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;26.) Development of Meal Assistance Orthosis for Disabled Persons with Human Intention Extraction through EOG Signals / Determination of Target Position of Meal Assistance Orthosis Using EOG signal and Dish Image&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;27.) A Practical EMG-based Human-Computer Interface For Users With Motor Disabilities&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;28.) Feasibility of Electroculography as a Command Interface for a High Tetraplegia Neural Prosthesis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;29.) Conversion of EEG Activity Into Cursor Movement by a Brain-Computer Interface (BCI)&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;30.) Developing the user-system interface for a communications system for ALS patients and others with severe neurological impairments.&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;31.) EOG Single Switch Morse code Translate Input Device for Individuals with The Motor Neuron Disease&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;32.) Wearable EMG based HCI for electric-powered wheelchair users with motor disabilities&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;33.) A flexible, portable system for neuromuscular stimulation in the paralyzed upper extremity&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;34.) A programmable electronic stimulator for FES system for physically impaired / A versatile multichannel direct-synthesized electrical stimulator for FES applications&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;35.) A versatile microcontroller based multichannel stimulator for skeletal muscle cardiac assist&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;36.) The development of a knee locker with closed-loop functional electrical stimulation (FES) for hemiplegia in gait training&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;37.) A neuro-control system for the knee joint position control with quadriceps stimulation.&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;38.) Feedback regulation of hand grasp opening and contact force during stimulation of paralyzed muscle&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;39.) Functional neuromuscular stimulation for combined control of elbow extension and hand grasp in C5 and C6 quadriplegics.&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;40.) Synthesis of hand grasp using functional neuromuscular stimulation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;41.) A hybrid computerized neuromuscular stimulation system for Upper limb functions&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;regained in quadriplegia&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;42.) A noninvasive functional electrical stimulation system with patient-driven loop for hand function restoration&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;43.) A Text Input System Developed by Using Lips Image Recognition Based on LabVIEW for the Serious Disabled&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;44.) Biologically Inspired Autoadaptive Control of a knee prosthesis&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;RESPIRATION PROJECTS&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Computer aided diagnosis of lung diseases&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Computerized lung sounds analysis using LabVIEW / A LabVIEW based respiratory sounds reconstruction tool&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) A Multi-Channel Device for Respiratory Sound Data Acquisition and Transient Detection&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) System for detecting respiratory events&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Auscultatory training system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Frequency, time and energy analysis of cough sounds&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Wavelet analysis and morphology for the detection of wheeze in cough sounds&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) A system for recording high fidelity cough sound measurements&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) A portable system for analysis of cough sounds in asthma&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) A system for measuring breath and cough sounds / Simultaneous breath sound and flow measurements using cough&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) A Miniaturized, Wearable, Battery-Operated Monitoring System for breathing detection&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Detection of upper airway resistance syndrome using a nasal cannula/pressure transducer&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) Modeling and measurement of flow effects on tracheal sounds&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Phono-spirometry for non-invasive measurement of ventilation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) Acoustic airflow estimation from tracheal sound power&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) Device for measurement of tracheal lung sounds&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) A method for respiration monitoring by the use of a bio-acoustic signal&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;ROBOT PROJECTS&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Vision-based human-robot interaction and navigation of intelligent service robots &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Robotic wheelchair based on observations of both user and environment&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Biosignal Based Human-Machine Interface for Robotic Arm&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Model Based Control Algorithms for Robotic Assisted Beating Heart Surgery&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Robotic motion compensation for respiratory movement during radiosurgery &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Heartbeat synchronization for robotic cardiac surgery&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Active filtering of physiological motion in robotized surgery using predictive control / Predictive tracking of quasi periodic signals for active relative motion cancellation in robotic assisted coronary artery bypass graft surgery&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Robotic image guide biopsy&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;&lt;span style="color: black;"&gt;&lt;/span&gt;&lt;span style="color: black;"&gt;&lt;span style="color: white;"&gt;This post is from &lt;/span&gt;&lt;a href="http://www.mybiomedical.blogspot.com/"&gt;&lt;span style="color: white;"&gt;http://www.mybiomedical.blogspot.com/&lt;/span&gt;&lt;/a&gt;&lt;/span&gt;&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-7256114345094217522?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/wTQJ3v2-vAs" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:04:16.596-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-projects-title-reheb.html</feedburner:origLink></item><item><title>Biomedical Projects Title :  MEDICAL IMAGING</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/UKCI5HVtnUE/biomedical-projects-title-medical.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:04:33 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-2077470282756126615</guid><description>&lt;b style="color: white;"&gt;&lt;/b&gt;&lt;b style="color: white;"&gt;MR Imaging&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Hyperpolarized Gas Polarimetry and Imaging at Low Magnetic Field&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Development of a Low-Field 3He MRI System to Study Posture-Dependence of Pulmonary Function&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Non-invasive assessment of regional ventilation in the human lung using oxygen-enhanced magnetic resonance imaging&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Spline Based Deformable Registration of MR Images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) A Complete Digital Magnetic Resonance Imaging (MRI) System at Low Magnetic Field (0.1 Tesla)&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) NMR Hardware and Desktop Systems&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) 3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) 3D Visualisation of MRI images using MATLAB&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Contour Profiling of Brain Tumor Areas by Using Image Correlation and Peak Detection Techniques&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Automatic Detection &amp;amp; volume Determination Of Metastatic Brain Tumors&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Processing of visual stimuli in the brain: Investigations using simultaneous functional magnetic resonance imaging and electrophysiological recording.&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Efficient Multi-Modal Least-Squares Alignment of Medical Images Using Quasi-Orientation Maps&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) Uniformity Correct ion with Homomorphic Filtering on Region of interest in MR imaging&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Quantification of Small Cerebral Ventricular Volume Changes in Treated Growth Hormone Patients Using Nonrigid Registration&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) DEVELOPMENT OF ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING SYSTEM &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) Ultra High Field MRI Whole-Slice and Localized RF Field Excitations Using the Same RF Transmit Array&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) A MEDICAL IMAGE ENHANCEMENT ALGORITHM BASED ON TOPOLOGICAL DERIVATIVE AND ANISOTROPIC DIFFUSION&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;18.) Using MATLAB to Produce 3D Models, Segment CT and MRI Data, and Investigate Properties of Anatomical Volumes&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;CT / X-RAY IMAGING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Registration of 3D angiographic and X-ray images using Sequential Monte Carlo sampling&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Three-dimensional Representation of the Human Arterial Tree&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Direct-Conversion Flat-Panel X-Ray Image Sensors for Digital Radiography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Tumor Detection in the Bladder Wall with a Measurement of Abnormal Thickness in CT Scans&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Non-rigid registration methods assessment of 3D CT images for head- neck radiotherapy&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Computer-Aided Detection of Kidney Tumor on Abdominal Computed Tomography Scans&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Pulmonary nodule detection using chest CT images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Computer aided diagnosis system for lung cancer based on helical CT images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Contrast enhancement of soft tissues in Computed Tomography images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Blind deblurring of CT images&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;BREAST IMAGING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Breast Surface Estimation for Radar-Based microwave Breast Imaging Systems&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Estimating the breast surface using UWB microwave monostatic backscatter measurements&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Computer aided diagnostic systems for digital mammograms&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) A combined system for detecting masses in mammographic images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Detection of Breast Lesions in Medical Digital Imaging Using Neural Networks&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Computerized classification of suspicious regions in chest radiographs using subregion hotelling observers&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Computer Aided Diagnosis in Digital Mammograms: Detection of Micro-calcifications by Meta Heuristic Algorithms&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Analysis of Mammographic Micro-Calcifications Using Grey-Level Image Structure Features. &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Analysis of Asymmetry Mammograms via Directional Filtering With Gabor Wavelets &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Automatic identification of pectoral muscles in mammograms&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) A fuzzy – genetic approach to breast cancer diagnosis &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Mammogram Image Size Reduction Using 16-8 bit Conversion Technique&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) A Reconstruction Algorithm for Breast Cancer Imaging With Electrical Impedance Tomography in Mammography Geometry&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Measurement of Patient Exposure Dose on X-Ray Screening Mammography&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;Cardiac Imaging&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Multiresolution Approach for Non-Contact Measurements of Arterial Pulse using Thermal Imaging&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Automatic View Recognition for Cardiac Ultrasound Images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Methods for Evaluating Left Ventricular Function Computed from ECG-Gated myocardial Perfusion SPECT&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;CELL IMAGING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Cell Detections and Tracking Based on Bayesian Estimation Techniques in Biotechniques&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Early detection of lung cancer using 3D cell – CT&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Blur elimination of cell images with soft X-ray projection CT microscope&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) An Image Mining Approach for Measuring Intensity, Size and Geographical localization of Stained Bodies in Cultured Cells: Application in Apoptosis Detection&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;IMAGE COMPRESSION &amp;amp; TRANSMISSION&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Efficient Image Compression of Medical Images Using the Wavelet&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;Transform and Fuzzy c-means Clustering on Regions of Interest.&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Compression of Medical Image Stacks using Wavelets and Zero-Tree Coding&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) PARALLELIZATION OF HYPERSPECTRAL IMAGING CLASSIFICATION AND DIMENSIONALITY REDUCTION ALGORITHMS&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;Neuro-Imaging&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) A feature-based approach to combine functional MRI, structural MRI and EEG brain imaging data&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) A Method for Multi-Task FMRI Data Fusion Applied to Schizophrenia&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Analysis of FMRI Data by Blind Separation Into Independent Spatial Components&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Application of Independent Component Analysis to Magnetic Resonance Imaging for Enhancing the Contrast of Gray and White Matter&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Non-invasive Imaging of Cerebral Activation with Diffuse Optical Tomography&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;ELECTRICAL IMPEDANCE TOMOGRAPHY&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Electrical impedance tomography imaging using a priori ultrasound data&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Design of a modular adaptive Electrical impedance tomography system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Image Reconstruction Methods for Electrical Impedance Tomography (EIT) on SUT-1 system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) 3-D Electrical Impedance Tomography of the human thorax&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) A 32-electrode data collection system for Electrical Impedance Tomography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Weighted Regularisation in Electrical Impedance Tomography with Applications to Acute Cerebral Stroke&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Kalman Filter Approach to track fast impedance changes in Electrical Impedance Tomography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Regularized Reconstruction in Electrical Impedance Tomography using a variance Uniformization constant&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Krylov subspace Iterative techniques: On the Detection of brain activity with Electrical Impedance Tomography&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;EYE IMAGING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Automatic diagnosis of diabetic retinopathy using fundus images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Automated depth analysis of optic nerve head from stereo fundus images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Digital Stereo Image Analyzer for Generating Automated 3-D Measures of Optic Disc&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;Deformation in Glaucoma&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Digital stereo-optic disc image analyzer for monitoring progression of glaucoma&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Design of an Automated Glaucoma Diagnostic System&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Automated method for fundus image registration and analysis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Automatic 3D-Reconstruction of the Ocular Fundus from Stereo Images (3-d digital surface recovery of the optic nerve head from stereo fundus images)&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Retinal Vessel Extraction Using Multiscale Matched Filters, Confidence and Edge Measures&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Rapid automated tracing and feature extraction from live high-resolution retinal fundus images using direct exploratory algorithms&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Retinal thickness measurements from optical coherence tomography using a markov boundary model&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) In vivo human retinal imaging by Fourier domain optical coherence tomography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) In vivo high-resolution video-rate spectral-domain optical coherence tomography of the human retina and optic nerve&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) Early Detection on the Condition of Pancreas Organ as the Cause of Diabetes Mellitus by Real Time Iris Image Processing&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Segmentation of Medical Images using Fuzzy Mathematical Morphology&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) Segmentation of Retinal Vasculature Using Wavelets and Supervised Classification&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) High-Resolution In Vivo Imaging of the RPE Mosaic in Eyes with Retinal Disease&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) In-vivo imaging of the photoreceptor mosaic in retinal dystrophies and correlations with visual function&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;THERMOGRAPHY IMAGING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Forehead Thermal Signature Extraction in Lie Detection&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) A Novel Approach for a Non-Invasive Diagnostic Technique of thyroid glands using thermographic systems&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) A Correction Method of Medical Thermography's Distortion&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Application of Thermography for Non-Invasive Diagnosis of Thyroid Gland Disease&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Infrared thermography in the detection and management of coronary artery disease&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Automatic Feature Localization in Thermal Images for Facial Expression&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;Recognition&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) ESTIMATION OF CORONARY BLOOD FLOW BY CARDIAC THERMOGRAPHY&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;IN OPEN CHEST CONDITIONS&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Non-contact, Wavelet-based Measurement of Vital Signs using Thermal Imaging&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) PROCESSING THERMAL IMAGES TO DETECT BREAST CANCER AND ASSESS PAIN / EARLY BREAST CANCER DETECTION USING INFRARED IMAGING&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Thermal Image Analysis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;for Polygraph Testing&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Thermal monitoring of the myocardium under blood arrest&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Multiresolution Approach for Non-Contact Measurements of Arterial Pulse using Thermal Imaging&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;US IMAGING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Quantification of Thyroid Volume using 3-D ultrasound imaging&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Denoising images with wavelets: Modelling the backscatter noise in ultrasound images of tendons in limbs&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Parallel Computing in Time-Frequency Distributions for Doppler Ultrasound Blood Flow Instrumentation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Identification of Vulnerable Atherosclerotic Plaque Using IVUS-Based Thermal Strain&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;Imaging&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Automatic boundary identification in ultrasound images of the prostate&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) SPECKLE DETECTION IN ULTRASOUND IMAGES USING FIRST ORDER STATISTICS&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Ultrasound Image Segmentation by Using Wavelet Transform and Self-&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;Organizing Neural Network&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Breast Cancer Diagnosis Using Self-Organizing Map For Sonography&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Speckle Reduction in Ultrasonic Images of Atherosclerotic Carotid Plaque&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Fuzzy Neural Network Computer Assisted Characterization of Diffused Liver Diseases Using Image Texture Techniques on Ultrasonic Images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Nonlinear analysis of carotid artery echographic images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) OVARIAN ULTRASOUND IMAGE ENHANCEMENT BY PSEUDOCOLORING&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) SEGMENTATION OF PROSTATE CONTOURS FROM ULTRASOUND IMAGES&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;This post is from http://&lt;a href="http://www.mybiomedical.blogspot.com/"&gt;www.mybiomedical.blogspot.com/&lt;/a&gt;&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-2077470282756126615?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/UKCI5HVtnUE" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:04:33.849-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-projects-title-medical.html</feedburner:origLink></item><item><title>Biomedical Projects Titles: LASERS &amp; PHYSIOLOGICAL MODELLING</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/1p7ZeFjDvzw/biomedical-projects-titles-lasers-mr.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:05:27 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-1403339122995353171</guid><description>&lt;b style="color: white;"&gt;LASERS&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) LASERS OPTICAL METHODS FOR DIAGNOSTICS OF MORPHCLCGICAL AND OPTICAL PARAMETERS OF WHOLE BLOOD UNDER NORMAL AND PATHOLOGICAL STATE&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) In vitro and in uiuo laser induced fluorescence detection of malignancies in the female reproductive system via their natural emission and Hypocrellin probing&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;MEMS/NANO-TECHNOLOGY&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Silicon-based Neuromorphic Implementation of the Olfactory Pathway&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;PHYSIOLOGICAL MODELLING&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Biophysical modelling of neurons involved in chronic pain&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Development of clinician-friendly software for musculoskeletal modeling and control&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Modeling and measurement of flow effects on tracheal sounds&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Flow and volume related AR-modelling of lung sounds&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Blood Glucose Response to Stress Hormone Exposure in Healthy Man and Insulin Dependent Diabetic Patients: Prediction by Computer Modeling&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) A Whole Body Thermal Model of Man During&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;Hyperthermia&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Cellular Level Electromechanical Modeling and Simulation of Heart Failure&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Model for the ACTL Glucocorticoid System&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) A multiscale model for the selection process of ovulatory follicles / A model for follicle selection and the determination of ovulation rate in the ewe&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) A model for human ventricular tissue&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Modeling the cellular basis of altered excitation-contraction coupling in heart failure&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Modelling the mechanical properties of cardiac muscles&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) A model of CSF flow in the human craniovertertebral junction&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Pathological Tremor Modeling and Active Compensation using Functional Electrical Stimulation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;This post is from http://&lt;a href="http://www.mybiomedical.blogspot.com/"&gt;www.mybiomedical.blogspot.com/&lt;/a&gt;&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-1403339122995353171?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/1p7ZeFjDvzw" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:05:27.660-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-projects-titles-lasers-mr.html</feedburner:origLink></item><item><title>Biomedical Projects Title : LabVIEW</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/qh9xrVIlxvA/biomedical-projects-title-labview.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:05:38 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-1429836687061606709</guid><description>&lt;strong style="color: rgb(255, 255, 255);"&gt;&lt;/strong&gt;&lt;span style="color: rgb(255, 255, 255);"&gt;1.) A Practical Approach Concerning Heart Rate Variability Measurement and Arrhythmia Detection Based on Virtual Instrumentation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;2.) LabVIEW based cardio-respiratory monitor&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;3.) Analysis of Multi-Lead QT Dispersion by Means of an Algorithm Implemented on LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;4.) Design and Development of a Knowledge driven Web based ECG Data monitoring and Diagnostic Tool in Lab-view&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;5.) Alarm clock based on sleep state of human using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;6.) LabVIEW based Pulse Transit Time Measuring Device&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;7.) Design of a System for Data Acquisition and Computer Control of a Pulmonary Physiology Lab&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;8.) LabVIEW system for measuring human musculoskeletal biomechanics by acquiring&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;electromyographic (EMG) data simultaneously with motion data&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;9.) Computerized respiratory sounds analysis using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;10.) Development of a Measuring System Based on LabVIEW for Angular Stiffness of Integrative Flexible Joint&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;11.) A Telemedicine Application Using LabVIEW to Remotely Track the Heart Rate Variability of Patients in a Clinical Research Environment&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;12.) A Portable ECG Signal Monitor and Analyzer&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;13.) A lie detector using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;14.) LabVIEW based Functional Electrical Stimulation for paralyzed patients suffering from neuromuscular disease, spinal cord injuries (SCIs), and related neural impairments&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;15.) A System for Tracking Interventional Devices using Magnetic Resonance&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;16.) Measurement of  Respiratory Protective Mask Lens Fogging with IMAQ and LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;17.) Development of a Voice Recognition Program using LabVIEW &amp;amp; Matlab&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;18.) The Automatic Testing Software for Electromagnetic Emission Based on Labview&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;19.) A Text Input System Developed by Using Lips Image Recognition Based on LabVIEW for the Serious Disabled&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;20.) A “virtual” electroanalytical instrument for square wave voltammetry&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;21.) Design of the Measurement System of the Pump Based on LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;22.) Rapid Prototyping Design and Implementation of a Motion Control Integrated With an Inexpensive Machine Vision System using LabVIEW, IMAQ Vision softwares and motion controller hardware PCI-7344&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;23.) Real-Time Identification of Sliding Friction Using LabVIEW FPGA&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;24.) An Audio- and Speech-Based Interface for Computer-Controlled Scientific Instruments&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;25.) Digital signal processing system design using LabVIEW and TMS320C6000&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;26.) Development of Measurement System Applied to Detecting the Parameters of Oxygen Sensor using LabVIEW &amp;amp; DSP hardware&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;27.) A LabVIEW based data acquisition system for vibration monitoring and analysis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;28.) An Intelligent System for Odour Discrimination : A design of an electronic nose&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;29.) Rapid control prototype (RCP), real-rime(RT) digital control of 6-DOF parallel robot system using LabVIEW and Matlab&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;30.) Paced Breathing controller using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;31.) Development of a virtual instrument for data acquisition and analysis of the phonocardiogram / Development of a virtual medical instrument using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;32.) Dynamic Simulation of Robot Manipulators Using Graphical Programming &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;33.) Design of an Incubator for Premature Infant Based on LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;34.) Closed-loop DC motor Position Control System Using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;35.) Spallation Neutron Source (SNS) accelerator systems diagnostics timing integration using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;36.) The real-time implementation of a cochlear implant signal processing system on PDA&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;Platforms using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;37.) In Vivo Depth Estimation of Features in the Chick Eye by Digital Signal&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;Processing of Ultrasonic Pulse Echoes&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;38.) Labview and Internet Based Remote Water Level Control Laboratory in the fields of biotechnology, food engineering and chemical engineering&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;39.) Application of Labview in on-line monitoring and automatic control of fermentation process&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;40.) A virtual ECG signal generator / A virtual cardiac monitor&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;41.) Developing a Portable Wireless Physiology Monitor Using LabVIEW PDA&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;42.) Development of Automated 12-Lead QT Dispersion Algorithm for Sudden Cardiac Death&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;43.) A Portable ECG Monitoring System (Holter Monitor) with Real Time Detection of Beat Abnormalities using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;44.) A Portable Device for High Resolution ECG Mapping&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;45.) Implementation of real time QRS detector using LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;46.) Automating the analysis of microscopic exposures of cornea transplants and calculating their cell densities using LabVIEW &amp;amp; IMAQ vision builder&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;47.) Lightweight embedded system for acquiring simultaneous electromyogenic activity and movement data (Function-EMG)&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;48.) Automating the monitoring of human eye motion to aid physicians in researching internal&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;ear diseases&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;49.) Three-dimensional and high-speed swept-source optical coherence tomography for in vivo investigation of human anterior eye segments&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;50.) A LabVIEW Based Ergonomics Workstation to Monitor the Mental Workload of Performing Surgery&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;51.) A Virtual Interface for the Arm of Upper-limb Amputees&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;52.) Automated Analysis of Ultrasound Images using LabVIEW for finding changes in blood diameter&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;53.) A Flexible Control and Analysis Tool for Automatic Blood Pressure Measurement&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;54.) A LabVIEW-Based Exercise Physiology Assessment System&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;55.) A Neurophysiological Experiment Execution in Real Time&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;56.) A User-Friendly, Intelligent Laser Acupuncture System&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;57.) Automated High Voltage Defibrillator Testing Using NI LabVIEW FPGA and Intelligent DAQ&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;58.) Building a Test System for Medical Stents&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;59.) Creating a Magnetic Imaging System for Diagnosing Infant Brain Activity Based on NI PXI and LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;60.) Creating Virtual Ionic Conductances in Living Cells with LabVIEW Real-Time and PXI&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;61.) Developing a Robotic Manipulator for Cancer Therapy Using Graphical System Design&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;62.) Developing a Sophisticated Wireless Network Using LabVIEW &amp;amp; Compact FieldPoint National Instruments &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;63.) Distributed Oven Process Controller Using NI LabVIEW Real-Time to Process Medical Device Components&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;64.) Flexible Applied Spectroscopic Systems Using PXI and LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;65.) Measuring Red Blood Cell Deformability Using LabVIEW 7 Express and Machine Vision Hardware&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;66.) Automating the measurement of red blood cell deformability under shear flow from microscopic observations. &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;67.) PCI-Based Control System for Laser Etching an Intraocular Lens&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;68.) Performing Cell Boundary Analysis for Biomedical Research Using NI LabVIEW 7 Express&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;69.) Using LabVIEW to Implement Virtual Instrumentation in Vestibular Research&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;70.) Recording and analyzing cellular calcium fluorescence data to study living neurons and their networks&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;71.) A LabView Based Magnetic Resonance Imaging Console&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;72.) A Method for Generating MRI Cardiac and Respiratory Gating Pulse&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;Simultaneously based on Adaptive Real-Time Digital Filters&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;Exploiting Force Feedback in Pilot Training and Control of an Underwater Robotics Vehicle: an Implementation in LabVIEW&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;73.) Adaptive Noise Cancellation using LabVIEW in speech signals&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;74.) Serial Communication Interface Design Based on LabVIEW and VC++ Mix Programming&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: rgb(255, 255, 255);"&gt;75.) Multi-Channel Electrochemical Detection System Based on LabVIEW&lt;/span&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-1429836687061606709?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/qh9xrVIlxvA" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:05:38.231-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">6</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-projects-title-labview.html</feedburner:origLink></item><item><title>Biomedical Project Titiles :ECG / ARRHYTMIA &amp; EMG PROJECTS</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/xfhLe9mGUy8/biomedical-project-titiles-ecg.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:06:00 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-1510017644218489461</guid><description>Biomedical Projects Title&lt;b&gt;ECG / ARRHYTMIA&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
1.) Design of Holter ECG System Based on MSP430 and USB Technology&lt;br /&gt;
2.) Design &amp;amp; construction of 12 lead ECG system&lt;br /&gt;
3.) A Practical Approach Concerning Heart Rate Variability Measurement and&lt;br /&gt;
Arrhythmia Detection Based on Virtual Instrumentation&lt;br /&gt;
4.) Arrhythmia diagnosis using morphology and timing from atrial and ventricular leads&lt;br /&gt;
5.) Design of cardiac arrhythmia detection system&lt;br /&gt;
6.) Device for measurement of surface arterial volume measurement&lt;br /&gt;
7.) Wireless ECG device with Bluetooth &amp;amp; communication to a PDA / Bluetooth-enabled ECG Monitoring System&lt;br /&gt;
8.) Clustering Based Cardiac Resynchronization Therapy Prediction using Open Source Toolkit PRTools&lt;br /&gt;
9.) Cardiac arrhythmia classification using autoregressive modelling&lt;br /&gt;
10.) LabVIEW based cardio-respiratory monitor&lt;br /&gt;
11.) Development of Automated 12-Lead QT Dispersion Algorithm for Sudden Cardiac Death&lt;br /&gt;
12.) Analysis of Multi-Lead QT Dispersion by Means of an Algorithm Implemented on LabVIEW&lt;br /&gt;
13.) Bayesian ANN Classifier for ECG Arrhythmia Diagnostic System&lt;br /&gt;
14.) Modelling and simulation of skin-stretch-caused motion artefacts in single-channel ECG signal&lt;br /&gt;
15.) Design and Development of a Knowledge driven Web based ECG Data monitoring and Diagnostic Tool in Lab-view&lt;br /&gt;
16.) High resolution ECG and MCG mapping: simulation study of single and dual accessory pathways and influence of lead displacement and limited lead selection on localisation results&lt;br /&gt;
17.) Design of USB based ECG monitor&lt;br /&gt;
18.) Design of tiny ECG monitoring system&lt;br /&gt;
19.) ECG Application Featuring Data Transmission by Bluetooth&lt;br /&gt;
20.) A portable system for acquiring and removing motion artefact from ECG signals&lt;br /&gt;
21.) Heart Rate Detection From Plantar Bioimpedance Measurements&lt;br /&gt;
22.) Heart rate monitoring using mobile communication&lt;br /&gt;
23.) Development of a Matlab Software for Analysis of Heart Rate Variability&lt;br /&gt;
24.) Remote electrocardiogram monitoring using internet&lt;br /&gt;
25.) Microcontroller based ECG monitoring system&lt;br /&gt;
26.) Enhancement of R wave detection in ECG data analysis using higher order statistics&lt;br /&gt;
27.) The Construction of a Volumetric Cardiac Model for Real-time ECG Simulation&lt;br /&gt;
28.) Neural Network based adaptive matched filtering for QRS detection&lt;br /&gt;
29.) Genetic design of optimum linear and non-linear QRS detectors&lt;br /&gt;
30.) Application of artificial neural and Fuzzy-neural networks to QRS detection and PVC diagnosis&lt;br /&gt;
31.) Real‐time discrimination of ventricular tachyarrhythmia with Fourier‐transform neural network&lt;br /&gt;
32.) ECG rhythm classification using artificial neural networks&lt;br /&gt;
33.) Application of artificial neural networks to QRS detection and LVH diagnosis&lt;br /&gt;
34.) Assessment of selected ECG voltage criteria for abnormality in eccentric and concentric Left Ventricular Hypertrophy&lt;br /&gt;
35.) Modelling of hypertension‐induced Left Ventricular Hypertrophy&lt;br /&gt;
36.) Device for Cardiac Heart Vector Display&lt;br /&gt;
37.) Electronic Cardiac Arrhythmia Signal Generator&lt;br /&gt;
38.) Handlebar Heart Rate Meter&lt;br /&gt;
39.) Digital Doppler Ultrasound Fetal Heart Rate Monitor&lt;br /&gt;
40.) A wireless ECG system for continuous event recording and communication to a clinical alarm station&lt;br /&gt;
41.) FPGA based real time ECG monitoring system&lt;br /&gt;
42.) A Pocket size arrhythmia monitoring system&lt;br /&gt;
43.) CONVERSION OF THE AMBULATORY ECG TO THE STANDARD 12-LEAD ECG&lt;br /&gt;
44.) Automated assessment of endocardial electrograms fractionation in human&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;EMG PROJECTS&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
1.) EMG-based Tele-operation of a Robot Arm in Planar Catching Movements using ARMAX Model and Trajectory Monitoring Techniques&lt;br /&gt;
2.) Lightweight embedded system for acquiring simultaneous electro-myogenic activity and movement data (Function-EMG)&lt;br /&gt;
3.) Wireless EMG transmission&lt;br /&gt;
4.) EMG diagnostic system&lt;br /&gt;
5.) Electrical apparatus for medical treatment using EMG envelope signal&lt;br /&gt;
6.) Apparatus for producing a model EMG signal from a measured EMG signal&lt;br /&gt;
7.) Power spectrum analysis of the EMG pattern in normal and diseased muscles&lt;br /&gt;
8.) Simultaneous and nonlinear identification of mechanical and reflex properties of human elbow joint muscles&lt;br /&gt;
9.) Myoelectric tele-operation of a complex robotic hand&lt;br /&gt;
10.) An EMG controlled pointing device using neural network&lt;br /&gt;
11.) Control of Multifunction Myoelectric Hand using a Real-Time EMG Pattern Recognition&lt;br /&gt;
12.) A wavelet-based continuous classification scheme for multifunction myoelectric control&lt;br /&gt;
13.) Real-time intelligent pattern recognition algorithm for surface EMG signals&lt;br /&gt;
14.) Multifunction prosthesis and orthosis control via micro-computer identification of temporal pattern differences in single-site myoelectric signals&lt;br /&gt;
15.) Intention detection using a neuro-fuzzy EMG classifier&lt;br /&gt;
16.) Application of adaptive neuro-fuzzy inference system for epileptic seizure detection using feature extraction&lt;br /&gt;
17.) Functional Separation of EMG Signals Via ARMA Identification Methods for Prosthesis Control Purposes&lt;br /&gt;
18.) Neuro-Fuzzy Surface EMG Pattern Recognition For Multifunctional Hand Prosthesis Control&lt;br /&gt;
19.) Optimized Gaussian mixture models for upper limb motion classification&lt;br /&gt;
20.) Continuous myoelectric control for powered prostheses using hidden Markov models&lt;br /&gt;
21.) Classification of the myoelectric signal using time–frequency based representations&lt;br /&gt;
22.) A human-assisting manipulator tele-operated by EMG signals and arm motions&lt;br /&gt;
23.) EMG classification for prehensile posture using cascaded architecture of neural networks with self-organizing maps&lt;br /&gt;
24.) Support Vector Machine Based Classification Scheme for Myoelectric Control Applied to Upper Limb&lt;br /&gt;
25.) EMG-Based Prediction of Shoulder and Elbow Kinematics in Able-Bodied and Spinal Cord Injured Individuals&lt;br /&gt;
26.) Recognition of forearm motions from EMG signals by error back propagation typed neural network using entropy&lt;br /&gt;
27.) Differentiating Type of Muscle Movement via AR Modelling and Neural Network Classification&lt;br /&gt;
28.) Blind Separation of Linear Instantaneous Mixtures of Non-stationary Surface Myoelectric Signals&lt;br /&gt;
29.) Selectivity of spatial filters for surface EMG detection from the tibialis anterior muscle&lt;br /&gt;
30.) EMG-based Hands-Free Wheelchair control with EOG Attention Shift Detection&lt;br /&gt;
31.) FINGER MOVEMENT CLASSIFICATION USING FOREARM EMG SIGNALS&lt;br /&gt;
&lt;br /&gt;
This post from &lt;a href="http://www.mybiomedical.blogspot.com/"&gt;http://www.mybiomedical.blogspot.com/&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-1510017644218489461?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/xfhLe9mGUy8" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:06:00.180-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-project-titiles-ecg.html</feedburner:origLink></item><item><title>Biomedical Project Titles :BIO-SIGNAL / DIGITAL SIGNAL PROCESSING</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/H94Odd89OMc/biomedical-project-titles-bio-signal.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:07:36 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-3611003517476261387</guid><description>&lt;b&gt;&lt;/b&gt;&lt;br /&gt;
1.) Low Cost DSP Based System for Signal Processing and Control&lt;br /&gt;
2.) EEG signal decomposition and improved spectral analysis using wavelet transform&lt;br /&gt;
3.) Separation of maternal ECG &amp;amp; Fetal ECG using Principal Component Analysis (PCA) / Blind Separation of Fetal ECG From Single Mixture Using SVD and ICA&lt;br /&gt;
4.) A simulation model for the fetal and maternal electrocardiogram (ECG)&lt;br /&gt;
5.) Real-time Processing of Biological Signals to Provide Multimedia Biofeedback as an Aid to Relaxation Therapy.&lt;br /&gt;
6.) ECG beat recognition using fuzzy hybrid neural network&lt;br /&gt;
7.) A QRS detection method using analog wavelet transform in ECG analysis&lt;br /&gt;
8.) Detection of ECG Characteristic Points Using Wavelet Transforms / ECG Feature Extraction Based on Multiresolution Wavelet Transform / Characterising the Discrete Wavelet Transform of an ECG Signal for use in Automated Diagnosis / Correlation analysis for abnormal ECG signal features extraction/ ECG Feature Extraction Using Daubechies Wavelets &amp;amp; Optimal Mother Wavelet / ECG Feature Elements Identification For Cardiologist Expert Diagnosis&lt;br /&gt;
9.) Removal of Ocular Artifacts from Related Evoked Potentials using variable step size least mean squares (VSSLMS) Adaptive Filter&lt;br /&gt;
10.) EEG ocular artefact removal through ARMAX model system identification using extended least squares&lt;br /&gt;
11.) Detection of characteristic waves of sleep EEG by neural network analysis&lt;br /&gt;
12.) Speech recognition using neural networks&lt;br /&gt;
13.) ECG Baseline Wandering Reduction Using Discrete Wavelet Transform&lt;br /&gt;
14.) Automated detection and elimination of periodic ECG artifacts in EEG using the energy interval histogram method&lt;br /&gt;
15.) Reduction of Motion Artifact in Pulse Oximetry by Smoothed Pseudo Wigner-Ville Distribution&lt;br /&gt;
16.) Auditory brain stem signal processing&lt;br /&gt;
17.) Non-invasive determination of electromechanical time intervals of cardiac cycle using abdominal ECG and Doppler ultrasound signals from fetal heart&lt;br /&gt;
18.) Auditory processing of speech signals for robust speech recognition in real-world noisy environments&lt;br /&gt;
19.) Cochlear Implant Sound Processing - ReducingWind Noise / Overcoming reverberation&lt;br /&gt;
20.) Optimal Microphone Frequency Response for Cochlear Implant Sound Processing&lt;br /&gt;
21.) Linear Predictive Coding of Speech Signals&lt;br /&gt;
22.) The Effect of the Additivity Assumption on Time and Frequency Domain Wiener Filtering for Speech Enhancement&lt;br /&gt;
23.) Speech enhancement using near field super directivity with an adaptive side-lobe canceller and post filter&lt;br /&gt;
24.) Moving source speech enhancement using time delay estimation&lt;br /&gt;
25.) Multi-sensory microphones for robust speech detection, enhancement and recognition&lt;br /&gt;
26.) Speech enhancement based on wavelet denoising&lt;br /&gt;
27.) Sub band adaptive speech enhancement for hearing aids&lt;br /&gt;
28.) Speech enhancement – Speech stream segregation&lt;br /&gt;
29.) Detection of seizure signals in newborns&lt;br /&gt;
30.) Blind separation &amp;amp; filtering of biomedical signals using state space models&lt;br /&gt;
31.) E.O.G. guidance of a wheelchair using neural networks&lt;br /&gt;
32.) Classification of EOG for human computer interface&lt;br /&gt;
33.) A wavelet based de-noising technique for ocular artifact correction of the EEG&lt;br /&gt;
34.) Extraction and separation of eyes movements and the muscular tonus from a restricted number of electrodes using the Independent Component Analysis&lt;br /&gt;
35.) Independent component analysis for identification of artefacts in magneto-encephalographic recordings&lt;br /&gt;
36.) Method for Ocular Artifact Correction of Cognitive Electrophysiological Signals&lt;br /&gt;
37.) Aiding the Detection of Alzheimer’s Disease in Clinical Electroencephalogram Recording by Selective De-Noising of Ocular artifacts&lt;br /&gt;
38.) HAAR Wavelet Based Technique for Detection and De-Noising of Ocular Artifact in Normal and Epileptic Electroencephalogram&lt;br /&gt;
39.) Hα Adaptive Filters for Eye Blink Artifact Minimization from Electroencephalogram&lt;br /&gt;
40.) Blind Source Separation for Ambulatory Sleep Recording&lt;br /&gt;
41.) Fractal Dimension of the EEG for Detection of Behavioural Micro-sleeps&lt;br /&gt;
42.) Development of an algorithm for an EEG-based driver fatigue countermeasure&lt;br /&gt;
43.) Discriminating Mental Tasks Using EEG Represented by AR Models&lt;br /&gt;
44.) Itakura Distance: A Useful Similarity Measure between EEG and EOG Signals in Computer-aided Classification of Sleep Stages&lt;br /&gt;
45.) Automatic Determination of Sleep-Wake States from EOG Signals Using Fusion Technique&lt;br /&gt;
46.) Characterization of Sleep-Wake state From EEG signals Using Fractal Method&lt;br /&gt;
47.) Real-time processing of blink artifact elimination on EEG records by use of the normalized averaging method&lt;br /&gt;
48.) Wavelet based Novel Technique for Signal Conditioning of Electro-Oculogram Signals&lt;br /&gt;
49.) Processing of Multichannel biosignal recordings for Data-Mining Algorithms&lt;br /&gt;
50.) Drifting and Blinking Compensation in Electro-oculography (EOG) Eye-gaze Interface&lt;br /&gt;
51.) Multiple Channel Electrooculogram Classification using Deterministic Finite Automata (DFA) / Automatic Electrooculogram Classification for Microcontroller&lt;br /&gt;
Based Interface Design using DFA / VHDL based EOG signal classification&lt;br /&gt;
52.) Blind extraction of microsleep events&lt;br /&gt;
53.) A normalised kurtosis based algorithm for blind source extraction from noisy biosignals measurements&lt;br /&gt;
54.) Application of the Cell Averaging Constant False Alarm Rate Technique to Saccade Detection in Electro-oculography&lt;br /&gt;
55.) Reducing the Effects of Electrocardiographic Artifacts on Electrooculography in Automatic Sleep Analysis&lt;br /&gt;
56.) Elimination of the ECG artifact in the polysomnographic EEG and EOG using AR model&lt;br /&gt;
57.) Speech Enhancement Based on Spectral Estimation from Higher-lag autocorrelation&lt;br /&gt;
58.) SPEECH ENHANCEMENT USING MMSE SHORT TIME SPECTRAL ESTIMATION WITH GAMMA DISTRIBUTED SPEECH PRIORS&lt;br /&gt;
59.) SPECTRAL ESTIMATION FOR SPEECH SIGNALS BASED ON DECIMATION AND EIGEN ANALYSIS&lt;br /&gt;
60.) A Least Square DFT Method for Sub-sample Fetal Heart Rate Estimation Under Noisy Conditions&lt;br /&gt;
61.) A novel technique for the extraction of fetal ECG using polynomial networks&lt;br /&gt;
62.) Wavelet Transform And Simplicity Based Heart Murmur Segmentation&lt;br /&gt;
63.) A ROBUST METHOD FOR QRS DETECTION BASED ON MODIFIED P-SPECTRUM&lt;br /&gt;
64.) CARDIOGENIC ARTIFACT CANCELLATION IN APNEA MONITORING&lt;br /&gt;
65.) Canceling the cardiogenic artifact in impedance pneumography&lt;br /&gt;
66.) A Least Square DFT Method for Sub-sample Fetal Heart Rate Estimation Under Noisy Conditions&lt;br /&gt;
67.) Sleep apnea detection using fuzzy logic&lt;br /&gt;
68.) Classification of the Thyroid Nodules Using Support Vector machines&lt;br /&gt;
69.) ANALYSIS OF THE STRUCTURE OF TIME–FREQUENCY INFORMATION IN ELECTROMAGNETIC BRAIN SIGNALS&lt;br /&gt;
&lt;br /&gt;
This post from &lt;a href="http://www.mybiomedical.blogspot.com/"&gt;http://www.mybiomedical.blogspot.com/&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-3611003517476261387?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/H94Odd89OMc" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:07:36.770-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-project-titles-bio-signal.html</feedburner:origLink></item><item><title>Biomedical Projects Title: BRAIN-COMPUTER INTERFACE &amp; EEG</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/G0jHE7o0hxg/biomedical-projects-title-brain.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:07:46 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-1603142233753678970</guid><description>&lt;b&gt;&lt;/b&gt;1.) Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver’s Drowsiness Detection and Warning&lt;br /&gt;
2.) A Multi-class BCI using MEG&lt;br /&gt;
3.) A Miniature Robot for Isolating and Tracking Neurons in Extracellular Cortical Recordings&lt;br /&gt;
4.) Adaptive brain interface (ABI) : A portable non-invasive brain-computer interface&lt;br /&gt;
5.) An adaptive neuro-fuzzy method (ANFIS) for estimating single-trial movement-related potentials&lt;br /&gt;
6.) A Brain Computer Interface based on Steady-State Visual Evoked Potential&lt;br /&gt;
7.) Prosthetic Control by an EEG-based Brain-Computer Interface (BCI)&lt;br /&gt;
8.) EEG Signal Classification for Brain Computer Interface Applications&lt;br /&gt;
9.) Estimating cognitive state using EEG signals for BCI design&lt;br /&gt;
10.) EEG-based control of reaching to visual targets&lt;br /&gt;
11.) EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection&lt;br /&gt;
12.) Mental Task Classification for Brain Computer Interface Applications&lt;br /&gt;
13.) Vibrotactile Feedback in the context of Mu-rhythm Based BCI&lt;br /&gt;
14.) BCI device for paralysed patient&lt;br /&gt;
15.) PC &amp;amp; Pocket PC based BCI architectures&lt;br /&gt;
16.) EEG based brain computer interfaces&lt;br /&gt;
17.) Rapid Prototyping of an EEG-based Brain-Computer Interface (BCI)&lt;br /&gt;
18.) Signal extraction for Brain computer interface&lt;br /&gt;
19.) Statistical modelling for adaptive Brain computer interface&lt;br /&gt;
20.) A flexible Brain Computer Interface for applications ranging from video game to virtual environment&lt;br /&gt;
21.) Classification of Brain computer interface data&lt;br /&gt;
22.) Functional Near IR spectroscopy for adaptive BCI&lt;br /&gt;
23.) The non-invasive Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained Subjects&lt;br /&gt;
24.) Development of a neuronal motor prosthesis for the restoration of movement in paralyzed people&lt;br /&gt;
25.) Discriminating sounds from the human electrocorticogram for brain-computer interfaces&lt;br /&gt;
26.) Performance and control error related neuronal signals in human ECoG recordings&lt;br /&gt;
27.) Decoding Performance for Hand Movements: EEG vs. MEG&lt;br /&gt;
28.) Movement onset related changes in ECoG recordings&lt;br /&gt;
29.) Human brain-machine interfacing based on epicortical field potentials&lt;br /&gt;
30.) Neuronal encoding of movement in motor cortical networks&lt;br /&gt;
31.) Prediction of Arm Movement Trajectories from ECoG-Recordings in Humans&lt;br /&gt;
32.) Hand movement direction decoded from MEG and EEG&lt;br /&gt;
33.) Movement Related Activity in the High Gamma Range of the Human EEG&lt;br /&gt;
34.) Applicability of hand movement decoding in MEG-based Brain-Machine-Interfaces&lt;br /&gt;
35.) Identification of Natural Grasps in Human ECoG Signals&lt;br /&gt;
36.) Representation of arm movement parameters in the EEG&lt;br /&gt;
37.) Unsupervised adaptive kalman-filter for decoding non-stationary brain-signals&lt;br /&gt;
38.) Human brain-machine interfacing based on epicortical field potentials&lt;br /&gt;
39.) Spatiotemporal mapping of information about arm movement direction using high-resolution EEG&lt;br /&gt;
40.) Decoding of movement from electrocorticographic (ECoG) recordings in human sensorimotor cortex - a potential basis for a brain-machine interface&lt;br /&gt;
41.) Portable Electroencephalogram Biofeedback Device&lt;br /&gt;
42.) Design and development of visual evoked potentials recording system for diagnosis of optic nerve diseases&lt;br /&gt;
43.) Wireless neural data acquisition system&lt;br /&gt;
44.) Design and evaluation of Human computer interaction using electro-oculography&lt;br /&gt;
45.) Development and Performance Evaluation of a Neural Signal-based Assistive Computer Interface&lt;br /&gt;
46.) Non-invasive brain actuated control of a mobile robot using human EEG&lt;br /&gt;
47.) Brain Computer Interface Cursor Measures for Motion-impaired and Able-bodied Users&lt;br /&gt;
48.) Brain-Computer Interface for a Prosthetic Hand Using Local Machine Control and Haptic Feedback&lt;br /&gt;
49.) Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials&lt;br /&gt;
50.) Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans&lt;br /&gt;
51.) Single channel EEG based prosthetic hand grasp control for amputees&lt;br /&gt;
52.) Rapid Prototyping of a Single-Channel Electroencephalogram-Based Brain-&lt;br /&gt;
Computer Interface&lt;br /&gt;
53.) Real time eye blink suppression using neural adaptive filters for EEG based BCI&lt;br /&gt;
54.) Frequency component selection for EEG based BCI&lt;br /&gt;
55.) Designing and Fitting FES and Prosthetic Systems in a Virtual Reality Environment&lt;br /&gt;
56.) Artifact EEG detection in sleep EEG recording&lt;br /&gt;
57.) Integrated system for analysis and automatic classification of sleep EEG&lt;br /&gt;
58.) On-Line Evaluations of the LF-ASD Brain–Computer Interface With Able-Bodied and Spinal-Cord Subjects Using Imagined Voluntary Motor Potentials&lt;br /&gt;
59.) Detection of event-related potentials for development of a direct brain interface&lt;br /&gt;
60.) Identification of finger flexions from continuous EEG as a brain computer interface&lt;br /&gt;
61.) Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters&lt;br /&gt;
62.) De-trended fluctuation analysis of EEG in sleep apnea using MIT/BIH polysomnography data&lt;br /&gt;
63.) Artifact Removal from Electroencephalograms Using a Hybrid BSS-SVM Algorithm&lt;br /&gt;
64.) Pre-processing and time-frequency analysis of newborn EEG seizures&lt;br /&gt;
65.) Feature Attraction and Classification of Mental EEG Using Approximate Entropy&lt;br /&gt;
66.) Analysis of Sleep Fragmentation and Sleep Structure in Patients With Sleep Apnea and Normal Volunteers&lt;br /&gt;
67.) P300 Detection for Brain-Computer Interface from Electroencephalogram contaminated by Electrooculogram&lt;br /&gt;
68.) Simple Gesture Recognition of Bio-Potential Signals and Its Application to Hands-Free Manipulation System&lt;br /&gt;
69.) Prediction of Multiple Movement Intentions from Contingent Negative Variation (CNV) Signal for Multi-Dimensional BCI&lt;br /&gt;
&lt;br /&gt;
This post&amp;nbsp;from http://www.mybiomedical.blogspot.com/&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-1603142233753678970?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/G0jHE7o0hxg" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:07:46.769-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">1</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-projects-title-brain.html</feedburner:origLink></item><item><title>Biomedical Project Titles :Bio-Metrics &amp;  Bio-signal Telemetry</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/qRaFJj2_2a0/biomedical-project-titles-bio-metrics.html</link><category>Biomedical Projects Title</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:08:00 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-5345383991134073411</guid><description>&lt;b style="color: white;"&gt;Bio-Metrics&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Information fusion in fingerprint authentication&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) Fingerprint Quality Indices for Predicting Authentication Performance&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) Fingerprint Classification Using Orientation Field Flow Curves&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) Statistical Models for Assessing the Individuality of Fingerprints&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Incorporating Image Quality in Multi-Algorithm Fingerprint Verification&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) Pores and Ridges: Fingerprint Matching Using Level 3 Features&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Hierarchical kernel fitting for fingerprint classification &amp;amp; alignment&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Fingerprint mosaicking&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Fingerprint matching using minutiae and texture features&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Hiding face in fingerprint image&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Hiding Fingerprint Minutiae in Images&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Automatic personal identification using fingerprints&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) Fingerprint Matching Using Feature Space Correlation&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Fingerprint classification &amp;amp; matching using a filter bank&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) Compound Stochastic Models For Fingerprint Individuality&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) User authentication using on-line signature and speech&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) Quality based score level fusion in multi biometric system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;18.) Multimedia content protection via biometrics based encryption&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;19.) Adjacent Orientation Vector Based Fingerprint Minutiae Matching System&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;20.) Robust subject recognition using ECG&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;21.) Automatic forensic identification based on dental radiographs&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;22.) Integration of multiple cues in biometric systems&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;23.) Combining Face and Iris Biometrics for Identity Verification&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;24.) Comparing Decision Fusion Paradigms using k-NN based Classifiers, Decision Trees and Logistic Regression in a Multi-modal Identity Verification Application&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;25.) Nonlinear feature extraction for Illumination Invariant Biometric Identification&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;b style="color: white;"&gt;Bio-signal Telemetry&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;1.) Remote monitoring for healthcare &amp;amp; safety in extreme environment&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;2.) An SCP Compatible 12-Lead Electrocardiogram Database for Signal Transmission, Storage and Analysis&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;3.) System Providing Ground-Based Medical Support for In-Flight Emergencies&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;4.) LabVIEW based ECG &amp;amp; Temperature bio-telemetry unit&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;5.) Biosignals monitoring system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;6.) ECG, blood pressure &amp;amp; temperature biotelemetry system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;7.) Wireless Telemetry for Oxygen Saturation (SpO2) Measurements&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;8.) Mobile health systems in emergency healthcare systems and services&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;9.) Remote ECG monitoring through internet&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;10.) Design of a portable minimally-intrusive bio-monitor&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;11.) Empirical mode decomposition to assess cardiovascular autonomic control&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;12.) Neural network based heart care telemetry unit&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;13.) GSM based Mobile healthcare system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;14.) Mobile Telemedicine Systems Using 3G Wireless Networks&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;15.) A Tele-radiology System Using a Mobile CT van and High Speed Satellite Communication&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;16.) A Multimedia Tele-monitoring Network for Healthcare&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;17.) Multipurpose healthcare telemedicine system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;18.) Systems, methods &amp;amp; computer program products for monitoring, diagnosing &amp;amp; treating medical conditions of remotely located patients&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;19.) Wireless internet biotelemetry monitoring systems&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;20.) Vital signs monitoring and communication system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;21.) Base station for communication with ultra low power wireless intracorporeal devices &lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;22.) Wireless internet based medical diagnostic system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;23.) RFID application for biological telemetry&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;24.) Mobile monitoring with wearable photo plethysmographic biosensors&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;25.) Stress monitoring using a distributed wireless intelligent sensor system&lt;/span&gt;&lt;br /&gt;
&lt;span style="color: white;"&gt;26.) Tele-cardiology Sensor Networks for Remote ECG Monitoring&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white;"&gt;This post from &lt;/span&gt;&lt;a href="http://www.mybiomedical.blogspot.com/"&gt;&lt;span style="color: white;"&gt;http://www.mybiomedical.blogspot.com/&lt;/span&gt;&lt;/a&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-5345383991134073411?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/qRaFJj2_2a0" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:08:00.420-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/10/biomedical-project-titles-bio-metrics.html</feedburner:origLink></item><item><title>DOWNLOAD BIOMEDICAL CAREER EBOOK AND VIDEO</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/zW3aVgVtoZ8/download-biomedical-career-ebook-and.html</link><category>Career</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:11:10 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-6036126533148073492</guid><description>&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/Itn3-gcofVQ/download-biomedical-career-ebook-and.html" name="1230c59bd15af76e_2" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;&lt;/a&gt;What exactly do biomedical engineers do? Or more precisely, what don’t biomedical engineers do? This 20-page booklet examines exciting careers in biomedical engineering, details educational pathways and course requirements, and describes options for students looking to gain some firsthand experience in the field.&lt;/div&gt;&lt;br /&gt;
Click here to download &lt;a href="http://www.embs.org/docs/careerguide.pdf" target="_blank"&gt;Designing a Career in Biomedical Engineering&lt;/a&gt;.&lt;br /&gt;
&lt;br /&gt;
&lt;span style="font-weight: bold;"&gt;BIOMEDICAL VIDEO&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
This 20-minute video describes the emerging field of biomedical engineering from an industry perspective.&lt;br /&gt;
&lt;br /&gt;
Click here to download the &lt;a href="http://www.embs.org/Docs/embsvideo.mpg" target="_blank"&gt;Biomedical engineering video&lt;/a&gt;.&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-6036126533148073492?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/zW3aVgVtoZ8" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:11:10.840-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><media:content url="http://feedproxy.google.com/~r/Jigarbm/~5/X7z1GWaCO5c/careerguide.pdf" fileSize="269776" type="application/pdf" /><itunes:explicit>yes</itunes:explicit><itunes:subtitle>What exactly do biomedical engineers do? Or more precisely, what don’t biomedical engineers do? This 20-page booklet examines exciting careers in biomedical engineering, details educational pathways and course requirements, and describes options for stude</itunes:subtitle><itunes:author>jigarbm@gmail.com</itunes:author><itunes:summary>What exactly do biomedical engineers do? Or more precisely, what don’t biomedical engineers do? This 20-page booklet examines exciting careers in biomedical engineering, details educational pathways and course requirements, and describes options for students looking to gain some firsthand experience in the field. Click here to download Designing a Career in Biomedical Engineering. BIOMEDICAL VIDEO This 20-minute video describes the emerging field of biomedical engineering from an industry perspective. Click here to download the Biomedical engineering video.</itunes:summary><itunes:keywords>Career</itunes:keywords><feedburner:origLink>http://www.jigarbm.com/2009/09/download-biomedical-career-ebook-and.html</feedburner:origLink><enclosure url="http://feedproxy.google.com/~r/Jigarbm/~5/X7z1GWaCO5c/careerguide.pdf" length="269776" type="application/pdf" /><feedburner:origEnclosureLink>http://www.embs.org/docs/careerguide.pdf</feedburner:origEnclosureLink></item><item><title>Physiological Database</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/SWePNzROFBE/physiological-database.html</link><category>Data and Resources</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:10:36 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-4578072631770892819</guid><description>&lt;table style="color: #cccccc;"&gt;&lt;tbody&gt;
&lt;tr style="color: white;"&gt;&lt;td style="line-height: 1.4em; margin-bottom: 0pt;"&gt;&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/p74Hf1-Ug6A/database-of-mri-images.html" name="1237da71f5e46a36_11" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;DATABASE OF MRI IMAGES&lt;/a&gt; &lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;Click &lt;a href="http://www.physionet.org/physiobank/database/images/" target="_blank"&gt;here&lt;/a&gt; to get mri angiography image samples.&lt;img height="1" src="http://feeds.feedburner.com/%7Er/BiomedicalEngineering/%7E4/p74Hf1-Ug6A" width="1" /&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr style="color: white;"&gt;&lt;td style="line-height: 1.4em; margin-bottom: 0pt;"&gt;&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/FjOlLjVKGdg/ecg-databases.html" name="1237da71f5e46a36_12" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;ECG DATABASES&lt;/a&gt; &lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;&lt;a href="http://www.physionet.org/physiobank/database/aami-ec13/" target="_blank"&gt;ANSI/AAMI EC13 Test Waveforms&lt;/a&gt; - 10 short recordings are specified by the current American National Standard for testing various devices that measure heart rate.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/edb/" target="_blank"&gt;European ST-T Database&lt;/a&gt; - 48 two-hour records.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/ltstdb/" target="_blank"&gt;Long-Term ST Database&lt;/a&gt; - Each of the 86 records is 21 to 24 hours long, and contains 2 or 3 ECG signals, annotated beat-by-beat and with respect to ST episodes, rhythm changes, and signal quality changes; each record also includes ST level time series based on 16-second averages centered on each beat.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/mitdb/" target="_blank"&gt;MIT-BIH Arrhythmia Database&lt;/a&gt; - Collection of 48 fully annotated half-hour two-lead ECGs is available.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/html/mitdbdir/mitdbdir.htm" target="_blank"&gt;MIT-BIH Arrhythmia Database Directory&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/nstdb/" target="_blank"&gt;MIT-BIH Noise Stress Test Database&lt;/a&gt; - Twelve half-hour ECG recordings and 3 half-hour recordings of noise typical in ambulatory ECG recordings. The ECG recordings were created by adding calibrated amounts of noise to clean ECG recordings from the MIT-BIH Arrhythmia Database.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/chfdb/" target="_blank"&gt;BIDMC Congestive Heart Failure Database&lt;/a&gt; - Long-term ECGs (about 20 hours each) from 15 subjects with severe CHF.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/szdb/" target="_blank"&gt;Post-Ictal Heart Rate Oscillations in Partial Epilepsy&lt;/a&gt; - Seven annotated single-lead ECG recordings, with times of seizures indicated.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/qtdb/" target="_blank"&gt;QT Database&lt;/a&gt; - Over 100 fifteen-minute two-lead ECG recordings (many excerpted from other databases), with onset, peak, and end markers for P, QRS, T, and (where present) U waves of from 30 to 50 selected beats in each recording.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/aftdb/" target="_blank"&gt;Atrial Fibrillation Database &lt;/a&gt;- consists of a learning set of 30 records and two test sets of 30 and 20 records. Each record contains a one-minute excerpt of a two-lead long-term ECG recording exhibiting either self-terminating or sustained atrial fibrillation.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/cudb/" target="_blank"&gt;Ventricular Tachyarrhythmia Database&lt;/a&gt; - A preliminary set of beat annotations (all beats marked as normal) with additional annotations that indicate episodes of ventricular fibrillation/flutter.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/iafdb/" target="_blank"&gt;Intracardiac Atrial Fibrillation Database&lt;/a&gt; - A collection of high-resolution recordings from eight subjects in atrial fibrillation or flutter; each recording includes three surface ECG signals and five intracardiac signals, all simultaneously recorded.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/ltafdb/" target="_blank"&gt;Long-Term AF Database&lt;/a&gt; - A set of 84 long-term (24-hour) ECG recordings of subjects with paroxysmal or sustained atrial fibrillation. Each record contains two ECG signals and a set of unaudited beat annotations. A subset of records includes manual annotations of the terminations of AF episodes with durations of at least one minute.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/afdb/" target="_blank"&gt;MIT-BIH Atrial Fibrillation Database&lt;/a&gt; - 23 ten-hour records are available.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/cdb/" target="_blank"&gt;MIT-BIH ECG Compression Test Database&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/ltdb/" target="_blank"&gt;MIT-BIH Long-Term Database&lt;/a&gt; - Six lengthy two-lead ECG recordings and one three-lead ECG recording.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/vfdb/" target="_blank"&gt;MIT-BIH Malignant Ventricular Arrhythmia Database&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/nsrdb/" target="_blank"&gt;MIT-BIH Normal Sinus Rhythm Database&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/svdb/" target="_blank"&gt;MIT-BIH Supraventricular Arrhythmia Database&lt;/a&gt; - Seventy-eight half-hour ECG recordings.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/nifecgdb/" target="_blank"&gt;Non-Invasive Fetal Electrocardiogram Database&lt;/a&gt; - Fifty-five recordings of maternal and maternal+fetal ECGs recorded over a 20-week period from a single subject.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/ptbdb/" target="_blank"&gt;PTB Diagnostic ECG Database&lt;/a&gt; - 549 high-resolution 15-lead ECGs.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/incartdb/" target="_blank"&gt;12-lead Arrhythmia Database&lt;/a&gt; - Seventy-five half-hour recordings extracted from 32 Holter records from patients undergoing tests for coronary artery disease.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/sddb/" target="_blank"&gt;Sudden Cardiac Death Holter Database&lt;/a&gt; - collection of long-term ECG recordings of patients who experienced sudden cardiac death during the recordings.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/vfdb/" target="_blank"&gt;MIT-BIH Malignant Ventricular Arrhythmia Database&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/crisdb/" target="_blank"&gt;RR Interval Sub-Study Database&lt;/a&gt; - consists of 1543 records, including roughly 150 million RR interval measurements.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/chf2db/" target="_blank"&gt;Congestive Heart Failure RR Interval Database&lt;/a&gt;. Beat annotation files (about 24 hours each) from 29 subjects with congestive heart failure.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/meditation/data/" target="_blank"&gt;Exaggerated heart rate oscillations during two meditation techniques&lt;/a&gt; - data from spontaneously and metronomically breathing controls, and from highly trained athletes.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/nsr2db/" target="_blank"&gt;Normal Sinus Rhythm RR Interval Database&lt;/a&gt; - from 54 subjects in normal sinus rhythm.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/mvtdb/" target="_blank"&gt;Spontaneous Ventricular Tachyarrhythmia Database&lt;/a&gt; - contains 135 pairs of RR interval time series, recorded by implanted cardioverter defibrillators in 78 subjects.&lt;img height="1" src="http://feeds.feedburner.com/%7Er/BiomedicalEngineering/%7E4/FjOlLjVKGdg" width="1" /&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr style="color: white;"&gt;&lt;td style="line-height: 1.4em; margin-bottom: 0pt;"&gt;&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/JCSfSL1psUU/neurological-databases.html" name="1237da71f5e46a36_13" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;NEUROLOGICAL DATABASES&lt;/a&gt; &lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;&lt;a href="http://www.physionet.org/physiobank/database/tremordb/" target="_blank"&gt;Database of Deep Brain Stimulation on Parkinsonian Tremor&lt;/a&gt; - Rest tremor velocity in the index finger of 16 subjects with Parkinson's disease, who receive chronic high frequency electrical deep brain stimulation.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/nesfdb/" target="_blank"&gt;Database : Noise Enhancement of Sensorimotor Function&lt;/a&gt; - Measurements of postural sway in 27 healthy volunteers (15 young, 12 elderly), with and without subsensory stimulation of the soles of the feet using mechanical noise.&lt;img height="1" src="http://feeds.feedburner.com/%7Er/BiomedicalEngineering/%7E4/JCSfSL1psUU" width="1" /&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr style="color: white;"&gt;&lt;td style="line-height: 1.4em; margin-bottom: 0pt;"&gt;&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/nDVFso2dubY/gait-databases.html" name="1237da71f5e46a36_14" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;GAIT DATABASES&lt;/a&gt; &lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 9px 0pt 3px;"&gt;&lt;br /&gt;
&lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;&lt;a href="http://www.physionet.org/physiobank/database/gaitndd/" target="_blank"&gt;Gait Dynamics in Neuro-Degenerative Disease Database&lt;/a&gt; - Collection of 64 recordings of gait (including original foot signals) from 15 subjects with Parkinson's disease, 20 with Huntington's disease, 13 with amyotrophic lateral sclerosis, and 16 healthy controls.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/gaitdb/" target="_blank"&gt;Gait in Aging and Disease Database&lt;/a&gt; - Data from healthy young and old volunteers, and patients with Parkinson's disease.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/gait-maturation-db/" target="_blank"&gt;Gait Maturation Database&lt;/a&gt; - Collection of data from healthy children ages 3-14.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/umwdb/" target="_blank"&gt;Unconstrained and Metronomic Walking Database&lt;/a&gt; - Collection of long-term recordings of gait dynamics from 10 healthy young volunteers.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/gaitpdb/" target="_blank"&gt;Gait in Parkinson's Disease &lt;/a&gt;- A collection of multichannel recordings from force sensors beneath the feet of 93 patients with Parkinson's Disease, and 73 healthy controls.&lt;img height="1" src="http://feeds.feedburner.com/%7Er/BiomedicalEngineering/%7E4/nDVFso2dubY" width="1" /&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr style="color: white;"&gt;&lt;td style="line-height: 1.4em; margin-bottom: 0pt;"&gt;&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/0tmAKuNhHpE/databases-of-physiological-signals.html" name="1237da71f5e46a36_15" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;DATABASES OF PHYSIOLOGICAL SIGNALS&lt;/a&gt; &lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;&lt;a href="http://www.physionet.org/pn3/mghdb/" target="_blank"&gt;MGH/MF Waveform Database&lt;/a&gt; - Collection of 250 recordings of 3-lead ECGs, ABP, PAP, CVP, respiration, and airway CO2 signals from patients in critical care units; some recordings include intra-cranial, left atrial, ventricular and intra-aortic pressure waveforms.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/drivedb/" target="_blank"&gt;Stress Recognition in Automobile Drivers &lt;/a&gt;- Recordings from healthy volunteers driving on a predefined route including streets and highways; signals recorded include ECG, EMG, galvanic skin resistance, and respiration.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/apnea-ecg/" target="_blank"&gt;Apnea-ECG Database&lt;/a&gt; - Consists of 70 ECG recordings, each typically 8 hours long, with accompanying sleep apnea annotations obtained from study of simultaneously recorded respiration signals, which are included for 8 of the recordings.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/fantasia/" target="_blank"&gt;Fantasia Database&lt;/a&gt; - ECG and respiration recordings, with beat annotations from 20 young and 20 elderly subjects, all healthy, in sinus rhythm during a resting state (two hours each). Half of the recordings also include (uncalibrated) continuous noninvasive blood pressure signals.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/mimicdb/" target="_blank"&gt;MIMIC Database&lt;/a&gt; - Contain 72 complete records from this database, together with periodic measurements ("numerics") for all 121 records of the database, including multiple recordings of some of the 90 subjects. The lengths of these records vary, but average about 40 hours each.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/mimic2db/" target="_blank"&gt;MIMIC II Waveform Database&lt;/a&gt; - A collection that currently includes 4164 records posted on PhysioNet, containing digitized signals (typically including ECG, ABP, and respiration) and time series of periodic measurements, each presenting a quasi-continuous recording of vital signs of a single patient throughout an ICU stay (typically a few days, but many are several weeks in duration).&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/mimic2cdb/" target="_blank"&gt;MIMIC II Clinical Database&lt;/a&gt; - A collection of clinical records that accompany the records of the MIMIC II Waveform Database, containing results of laboratory tests, medications, ICD9 diagnoses, and more. Each record contains data for a single subject, and many records span multiple ICU admissions for the same subject, including available medical history between ICU stays. Portions of 60 records are currently posted.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/slpdb/" target="_blank"&gt;MIT-BIH Polysomnographic Database&lt;/a&gt; - Sleep stage and apnea annotations.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/santa-fe/" target="_blank"&gt;Santa Fe Time Series Competition Data Set B&lt;/a&gt; -Data extracted from the MIT-BIH Polysomnographic Database.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/physiobank/database/sleep-edf/" target="_blank"&gt;Sleep-EDF Database&lt;/a&gt; - A collection of sleep recordings from 8 healthy subjects. Each recording contains 2 EEG signals, EOG, and an event marker, and is accompanied by a manually-scored hypnogram. Four recordings also include submental EMG, and the other four recordings also include the submental EMG envelope, oro-nasal airflow, and body temperature.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/shhpsgdb/" target="_blank"&gt;Sleep Heart Health Study Polysomnography Database &lt;/a&gt;- 1000 overnight polysomnograms collected to study the relationship of sleep disordered breathing and cardiovascular disease. Recordings include EEG, EOG, EMG, ECG, nasal airflow and respiratory effort signals, periodic measurements of SaO2 and heart rate, annotations of sleep stages, respiratory events, EEG arousals, and more.&lt;br /&gt;
&lt;br /&gt;
&lt;a href="http://www.physionet.org/pn3/ucddb/" target="_blank"&gt;Sleep Apnea Database&lt;/a&gt; - Contains 25 full overnight polysomnograms with simultaneous three-channel Holter ECG, from adult subjects with suspected sleep-disordered breathing.&lt;img height="1" src="http://feeds.feedburner.com/%7Er/BiomedicalEngineering/%7E4/0tmAKuNhHpE" width="1" /&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr style="color: white;"&gt;&lt;td style="line-height: 1.4em; margin-bottom: 0pt;"&gt;&lt;div style="margin: 1em 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/nFxhqouJad0/physionet-research-resource-for-complex.html" name="1237da71f5e46a36_16" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;PhysioNet - Research resource for complex physioloical signals&lt;/a&gt; &lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 9px 0pt 3px;"&gt;&lt;br /&gt;
&lt;/div&gt;&lt;div style="font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 0pt;"&gt;PhysioNet offers free access via the web to large collections of recorded Physiological signals....&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;Special Thanks to &amp;nbsp;http://www.mybiomedical.blogspot.com/&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-4578072631770892819?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/SWePNzROFBE" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:10:36.172-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/09/physiological-database.html</feedburner:origLink></item><item><title>Fulbright Foreign Student Program for Master's or phD at USA universities</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/8jvrhV8MWfc/fulbright-foreign-student-program-for.html</link><category>Career</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:11:26 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-2103405686811542776</guid><description>&lt;div style="color: black; font-family: Georgia,Helvetica,Arial,Sans-Serif; font-size: 13px; line-height: 140%; margin: 9px 0pt 3px;"&gt;&lt;a href="http://feedproxy.google.com/%7Er/BiomedicalEngineering/%7E3/8nb5WVqdQtw/fulbright-foreign-student-program-for.html" name="1230733597fe2610_2" style="font-family: Arial,Helvetica,sans-serif; font-size: 18px;" target="_blank"&gt;&lt;/a&gt;&lt;span style="color: white; font-family: georgia;"&gt;A mainstay of America’s public-diplomacy efforts, the Fulbright Foreign Student Program brings citizens of other countries to the United States for Master’s degree or Ph.D. study at U.S. universities or other appropriate institutions. The program has brought some of the world’s finest minds to U.S. campuses and offers program participants insight into U.S. society and values.&lt;/span&gt;&lt;/div&gt;&lt;br /&gt;
&lt;span style="color: white; font-family: georgia;"&gt;Many foreign Fulbright grantees are early-career professionals who will return to take leadership positions in their home countries, often working at universities or in government service.&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white; font-family: georgia;"&gt;More than 1,800 new Foreign Fulbright Fellows enter U.S. academic programs each year. Foreign students apply for Fulbright Fellowships through the Fulbright Commission/Foundation or U.S. Embassy in their home countries. The Institute of International Education (IIE) arranges academic placement for most Fulbright nominees and supervises participants during their stay in the United States.&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;span style="color: white; font-family: georgia;"&gt;For more information,Click &lt;/span&gt;&lt;a href="http://foreign.fulbrightonline.org/participating_country" style="color: #33ccff; font-family: georgia;" target="_blank"&gt;here&lt;/a&gt;&lt;span style="color: #33ccff; font-family: georgia;"&gt;.&lt;/span&gt;&lt;br /&gt;
&lt;br /&gt;
Special Thanks to&amp;nbsp;http://www.mybiomedical.blogspot.com/&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-2103405686811542776?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/8jvrhV8MWfc" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:11:26.903-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2009/09/fulbright-foreign-student-program-for.html</feedburner:origLink></item><item><title>programmable automation controller (PAC)</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/JKGgFCGI5Hg/programmable-automation-controller-pac.html</link><category>My Project</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:17:05 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-4962840424789015672</guid><description>&lt;div style="text-align: justify;"&gt;Right now I am working as an  Automation Engineer in Biomedical Comapany in NY upsate I start to work with A &lt;b&gt;programmable automation controller&lt;/b&gt; &lt;b&gt;(PAC)&lt;/b&gt; is a compact controller that combines the features and capabilities of a PC-based &lt;a href="http://en.wikipedia.org/wiki/Control_system" title="Control system"&gt;control system&lt;/a&gt; with that of a typical &lt;a href="http://en.wikipedia.org/wiki/Programmable_logic_controller" title="Programmable logic controller"&gt;programmable logic controller&lt;/a&gt; (PLC). PACs are most often used in industrial settings for &lt;a href="http://en.wikipedia.org/wiki/Process_control" title="Process control"&gt;process control&lt;/a&gt;, &lt;a href="http://en.wikipedia.org/wiki/Data_acquisition" title="Data acquisition"&gt;data acquisition&lt;/a&gt;, remote equipment monitoring, &lt;a href="http://en.wikipedia.org/wiki/Machine_vision" title="Machine vision"&gt;machine vision&lt;/a&gt;, and &lt;a href="http://en.wikipedia.org/wiki/Motion_control" title="Motion control"&gt;motion control&lt;/a&gt;. Additionally, because they function and communicate over popular &lt;a href="http://en.wikipedia.org/wiki/Network_interface" title="Network interface"&gt;network interface&lt;/a&gt; &lt;a href="http://en.wikipedia.org/wiki/Communications_protocol" title="Communications protocol"&gt;protocols&lt;/a&gt; like &lt;a class="mw-redirect" href="http://en.wikipedia.org/wiki/TCP/IP" title="TCP/IP"&gt;TCP/IP&lt;/a&gt;, &lt;a href="http://en.wikipedia.org/wiki/OLE_for_process_control" title="OLE for process control"&gt;OLE for process control&lt;/a&gt; (OPC) and &lt;a class="mw-redirect" href="http://en.wikipedia.org/wiki/SMTP" title="SMTP"&gt;SMTP&lt;/a&gt;, PACs are able to transfer data from the machines they control to other machines and components in a networked control system or to &lt;a href="http://en.wikipedia.org/wiki/Application_software" title="Application software"&gt;application software&lt;/a&gt; and &lt;a class="mw-redirect" href="http://en.wikipedia.org/wiki/Databases" title="Databases"&gt;databases&lt;/a&gt;. and really it is very interesting d&lt;a href="http://2.bp.blogspot.com/_9tYbYfFo0S0/SGT17v_FRPI/AAAAAAAADNk/l_E_ZZAFj1k/s1600-h/HY-LINE+Pressenotiz+OPTO+22+PAC+Controller.jpg" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"&gt;&lt;img alt="" border="0" id="BLOGGER_PHOTO_ID_5216564675244016882" src="http://2.bp.blogspot.com/_9tYbYfFo0S0/SGT17v_FRPI/AAAAAAAADNk/l_E_ZZAFj1k/s200/HY-LINE+Pressenotiz+OPTO+22+PAC+Controller.jpg" style="cursor: pointer; float: left; margin: 0pt 10px 10px 0pt;" /&gt;&lt;/a&gt;evice.&lt;br /&gt;
&lt;br /&gt;
Read more on :&lt;br /&gt;
&lt;a href="http://www.opto22.com/site/le_what_is_a_pac.aspx"&gt;http://www.opto22.com/site/le_what_is_a_pac.aspx &lt;/a&gt;&lt;br /&gt;
&lt;a href="http://www.automationworld.com/columns-16"&gt;http://www.automationworld.com&lt;/a&gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
My Project is impliment control system with all features  liek PIDs, Alrms, Recipe, Profiling.&lt;br /&gt;
&lt;br /&gt;
Another project is Modbus Communication with Other Controller. and really both are really nice projecets. and i like both, it is really fun to impliment something big.&lt;br /&gt;
Another  interesting part of this projects is SCADA-HMI. its really interesting by using 3rd  party SCADA Display communicate with PAC Controller.&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-4962840424789015672?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/JKGgFCGI5Hg" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:17:05.296-08:00</app:edited><media:thumbnail url="http://2.bp.blogspot.com/_9tYbYfFo0S0/SGT17v_FRPI/AAAAAAAADNk/l_E_ZZAFj1k/s72-c/HY-LINE+Pressenotiz+OPTO+22+PAC+Controller.jpg" height="72" width="72" /><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2008/06/programmable-automation-controller-pac.html</feedburner:origLink></item><item><title>Drupal</title><link>http://feedproxy.google.com/~r/Jigarbm/~3/-JNAnsb88QU/drupal.html</link><category>My Project</category><author>jigarbm@gmail.com</author><pubDate>Tue, 09 Mar 2010 12:17:27 PST</pubDate><guid isPermaLink="false">tag:blogger.com,1999:blog-2813005808268185731.post-2494351249014405870</guid><description>I had good working experience with &lt;span class="blsp-spelling-error" id="SPELLING_ERROR_0"&gt;Drupal&lt;/span&gt; Content management System. I installed &lt;span class="blsp-spelling-error" id="SPELLING_ERROR_1"&gt;drupal&lt;/span&gt; in &lt;span class="blsp-spelling-error" id="SPELLING_ERROR_2"&gt;centos&lt;/span&gt; 5 and i install &lt;span class="blsp-spelling-error" id="SPELLING_ERROR_3"&gt;drupal&lt;/span&gt; module and themes and configure this module and themes with many sites.and my &lt;span class="blsp-spelling-corrected" id="SPELLING_ERROR_4"&gt;experience&lt;/span&gt; with &lt;span class="blsp-spelling-error" id="SPELLING_ERROR_5"&gt;drupal&lt;/span&gt; is &lt;span class="blsp-spelling-corrected" id="SPELLING_ERROR_6"&gt;amazing&lt;/span&gt; it is wonderful and easy way to create website with content &lt;span class="blsp-spelling-corrected" id="SPELLING_ERROR_7"&gt;management&lt;/span&gt; &lt;span class="blsp-spelling-corrected" id="SPELLING_ERROR_8"&gt;system&lt;/span&gt;.&lt;br /&gt;
&lt;ul&gt;&lt;li&gt;&lt;a href="http://coalitionforonevoice.org/"&gt;Colition for Onevoice&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/2813005808268185731-2494351249014405870?l=www.jigarbm.com' alt='' /&gt;&lt;/div&gt;&lt;img src="http://feeds.feedburner.com/~r/Jigarbm/~4/-JNAnsb88QU" height="1" width="1"/&gt;</description><app:edited xmlns:app="http://www.w3.org/2007/app">2010-03-09T12:17:27.153-08:00</app:edited><thr:total xmlns:thr="http://purl.org/syndication/thread/1.0">0</thr:total><feedburner:origLink>http://www.jigarbm.com/2008/01/drupal.html</feedburner:origLink></item><media:rating>adult</media:rating><media:description type="plain">Well Come To JIGAR PATEL's World</media:description></channel></rss>
