Title: VLSI implementation of ECG feature extraction: a literature review

Authors: S. Surendhar; P. Thirumurugan; N. Ezhilmathi; R. Sathesh Raaj

Addresses: Department of Electronics and Communication Engineering, NPR College of Engineering and Technology, Natham, 624401, Tamilnadu, India ' Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, 624622, Tamilnadu, India ' Department of Electrical and Electronics Engineering, Solamalai College of Engineering, Madurai, 625020, Tamilnadu, India ' Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, 600 062, Tamilnadu, India

Abstract: In this paper, we examine the comparative learning on VLSI implementation of electrocardiogram (ECG) feature extraction method to diagnose the different cardiac arrhythmia. ECG features extraction plays an important significant role in diagnosing most of the cardiac diseases to avoid mortality. In ECG, P-QRS-T wave generated using some novel method to find the peak amplitude and time periods. Recently different methods have been implemented in VLSI for analysing the ECG signal by multiple researchers. Several techniques and algorithms comprise their own merits and demerits. In this paper, the various methods and techniques are discussed in literature review for cardiac analysis.

Keywords: area; beat per minute; DER; detection error rate; delay; ECG signal; feature extraction; heart rate; power; QRS complex; RR interval; support vector machines.

DOI: 10.1504/IJAIP.2024.142661

International Journal of Advanced Intelligence Paradigms, 2024 Vol.29 No.2/3, pp.101 - 110

Received: 27 Jun 2018
Accepted: 03 Jun 2019
Published online: 15 Nov 2024 *

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