Conference
Automatic QRS Detection and Segmentation Using Short Time Fourier Transform and Feature Fusion
Abstract
QRS detection from an electrocardiogram (ECG) is potentially useful tool in many applications such as diagnosing cardiac diseases, bio-identification, bio-encryption, etc. In this paper, we present an automated algorithm for detecting QRS waves and segmenting ECG signal into separate beats using short time Fourier transform (STFT) and multi-channel ECG feature-based classification. We test the performance of our algorithm using ECG signals of …
Authors
Biran A; Jeremic A
Volume
00
Pagination
pp. 1-4
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 2, 2020
DOI
10.1109/ccece47787.2020.9255676
Name of conference
2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)