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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7740
Title: QRS detection using adaptive filters: A comparative study
Authors: Jain S.
Ahirwal M.K.
Kumar A.
Bajaj V.
Singh G.K.
Published in: ISA Transactions
Abstract: Electrocardiogram (ECG) is one of the most important physiological signals of human body, which contains important clinical information about the heart. Monitoring of ECG signal is done through QRS detection. In this paper, an improved QRS detection algorithm, based on adaptive filtering principle, has been designed. Enumeration of the effectiveness of various LMS variants used in adaptive filtering based QRS detection algorithm has been done through fidelity parameters like sensitivity and positive predictivity. Whole family of LMS algorithm has been implemented for comparison. Sign-sign LMS, sign error LMS, basic LMS and normalized LMS are re-implemented, while variable leaky LMS, variable step-size LMS, leaky LMS, recursive least squares (RLS), and fractional LMS are novel combination presented in this paper. After analysis of the obtained results, performance of leaky-LMS algorithm is found to be the best with sensitivity, positive predictivity, and processing time of 99.68%, 99.84%, and 0.45 s respectively. Reported results are tested and evaluated over MIT/BIH arrhythmia database. Presented study also concludes that the performance of most of the variants gets affected due to low SNR but the Leaky LMS performs better even under heavy noise conditions. © 2016 ISA
Citation: ISA Transactions (2017), 66(): 362-375
URI: https://doi.org/10.1016/j.isatra.2016.09.023
http://repository.iitr.ac.in/handle/123456789/7740
Issue Date: 2017
Publisher: ISA - Instrumentation, Systems, and Automation Society
Keywords: Adaptive filtering
Adaptive thresholding
ECG
Leaky-LMS
QRS complex detection
ISSN: 190578
Author Scopus IDs: 57190883733
49361053400
57215268681
57209289122
57193351909
Author Affiliations: Jain, S., PDPM Indian Institute of Information Technology, Design and Manufacturing JabalpurMP 482005, India
Ahirwal, M.K., Department of Computer Application, National Institute of Technology, Raipur, CG 492010, India
Kumar, A., PDPM Indian Institute of Information Technology, Design and Manufacturing JabalpurMP 482005, India
Bajaj, V., PDPM Indian Institute of Information Technology, Design and Manufacturing JabalpurMP 482005, India
Singh, G.K., Department of Electrical Engineering, Indian Institute of Technology, Roorkee, Uttarakhand 247667, India
Corresponding Author: Jain, S.; PDPM Indian Institute of Information Technology, Design and Manufacturing JabalpurIndia; email: er.shweta.jbp@gmail.com
Appears in Collections:Journal Publications [EE]

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