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ECE MS Project Defense by Hsin Yu-Yu
|Category:||College Of Engineering - Ece|
|Date & Time:||
from 10:00 AM to 12:00 PM
|Location:||Lester W. Cory Conference Room, SENG 213A|
|Sponsored by:||ECE Department|
TOPIC: “THE AUTHENTICATION OF PATIENTS USING REAL-TIME ECG SIGNAL”
In this project, rather than using the password-based methods to authenticate a patient, a biometric-based authentication approach is implemented to distinguish patients through collected ECG (Electrocardiography) signals. The QRS complex extracted from noisy ECG are unique features that are used to identify a person. In this project, I investigated two typical classification approaches for the authentication: SVM (support vector machine) and KNN (K nearest neighbor) under different noise (i.e., white, brown and pink) environments. A comprehensive ECG feature extraction procedure is implemented. The experimental results demonstrate that the implemented approach can achieve high accuracy for the patient authentication. This bio-metric based authentication approach could be used for future healthcare-security-related applications over WBANs.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
Advisor: Dr. Honggang Wang