Event Details
Inter-Patient Electrocardiogram Heartbeat Classification with 2-D Convolutional Neural Network
Presenter: Kun Ye
Supervisor:
Date: Thu, January 14, 2021
Time: 14:00:00 - 15:00:00
Place: ZOOM - Please see below.
ABSTRACT
Zoom meeting link: https://uvic.zoom.us/j/85338910248?pwd=dEFmQ1U4aS95WkFDOXBDN0FNelV0QT09
Meeting ID: 853 3891 0248
Password: ECE509
Note: Please log in to Zoom via SSO and your UVic Netlink ID
Abstract: Advanced computer technologies can transform the traditional electrocardiogram (ECG) monitoring system for better efficiency and accuracy. ECG records a heart's electrical activity using electrodes placed on the skin, and it has become an essential tool for arrhythmia detection. The complexity comes from the variety of patients' heartbeats and massive amounts of information for humans to process correctly. The seminar presents an image based two-dimensional convolution neural network (CNN) to classify the arrhythmia heartbeats with inter-patient paradigm. It includes a new data pre-processing method. The inter-patient paradigm simulates the practical use case of an ECG heartbeat classifier. Compared to the reported work in the literature, the proposed solution achieves superior experiment results.