ECE Master of Science Thesis Defense by Patrick R. DaSilva
|Category:||College Of Engineering - Ece|
|Date & Time:||
Friday , 04/12/2013
from 12:00 PM to 02:00 PM
|Location:||Textile's Building - Room 101E|
|Sponsored by:||ECE Department|
Paul J. Fortier
TOPIC: “ELECTROCARDIOGRAM COLLECTION, PATTERN RECOGNITION AND CLASSIFICATION SYSTEM
SUPPORTING A CARDIOVASCULAR DISEASE DETECTION AID”
Current mobile monitoring solutions do not offer the ability to recognize cardiac problems without the use of an outside technician. In support of cardiovascular disease detection aid set forth by Dr. Paul Fortier of UMASS Dartmouth, an attempt is made to perform pattern recognition and classification on a real-time electrocardiogram (EKG). The EKG is detected through the use of the Wavelet Transform and the rhythm is classified using an N-ary tree. The entire software platform is designed and developed in the C language. It’s further loaded and tested on an Atmel microcontroller. Testing results showed that autonomous classifications are possible using a three lead system while the patient is at rest. Further research is required to compensate for muscle noise and motion artifacts, but the proposed classification method serves as a stepping stone towards a fully reliable teaching tool with the potential to serve as a solution to the current cardiovascular healthcare issue.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
Advisor: Dr. Paul J. Fortier