Efficient R-peak Detection in Electrocardiogram Signal Based on Features Extracted Using Hilbert Transform and Burg Method-Reference-Cited by-同舟云学术

Efficient R-peak Detection in Electrocardiogram Signal Based on Features Extracted Using Hilbert Transform and Burg Method

Published:2020-02 Issue:1 Volume:101 Page:23-34
ISSN:2250-2106
Container-title:Journal of The Institution of Engineers (India): Series B
language:en
Short-container-title:J. Inst. Eng. India Ser. B

Author:

Gupta Varun^ORCID,Mittal Monika

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s40031-020-00423-2.pdf

Reference51 articles.

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2. S.S. Mehta, N.S. Lingayat, SVM-based algorithm for recognition of QRS complexes in electrocardiogram. IRBM 29, 310–317 (2008)

3. Z. Wang, F. Wan, C.M. Wong, L. Zhang, Adaptive Fourier decomposition based ECG denoising. Comput. Biol. Med. 77, 195–205 (2016)

4. S. Jain, M.K. Ahirwal, A. Kumar, V. Bajaj, G.K. Singh, QRS detection using adaptive filters: a comparative study. ISA Trans. 66, 362–375 (2017)

5. S.S. Mehta, D.A. Shete, N.S. Lingayat, V.S. Chouhan, K-means algorithm for the detection and delineation of QRS-complexes in electrocardiogram. IRBM 31, 48–54 (2010)

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