Title: A novel method of cardiac arrhythmia detection in electrocardiogram signal

Authors: Varun Gupta; Monika Mittal

Addresses: EIE Department, KIET Group of Institutions, 13km milestone Delhi-Meerut Road, Muradnagar-201206, Ghaziabad (UP), India ' EE Department, National Institute of Technology, Kurukshetra - 136119, Haryana, India

Abstract: Electrocardiogram (ECG) is an essential approach for observing the right condition of the heart. Generally, it represents P, Q, R, S, T and U waves. On the basis of these waves doctors can accurately diagnose cardiac arrhythmias. ECG signal is nonlinear in nature and due to this, its analysis becomes very much complex and needs extra attention. So a more reliable and accurate technique is needed for saving the life of the heart patients. Therefore, chaos theory has been applied for more accurate and reliable analysis of different ECG databases. R-peak is very crucial for classifying cardiac arrhythmia. Short time Fourier transform (STFT) and their frequency contents have been used for detecting the R-peaks. In this paper physioNet databases have been tested.

Keywords: electrocardiogram; ECG; cardiac arrhythmia; nonlinear; chaos theory; R-peaks.

DOI: 10.1504/IJMEI.2020.109943

International Journal of Medical Engineering and Informatics, 2020 Vol.12 No.5, pp.489 - 499

Received: 25 Apr 2018
Accepted: 21 Nov 2018

Published online: 30 Sep 2020 *

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