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Automatic QRS Detection and Segmentation Using...
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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)