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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2020 - 5

Shannon Energy Application for Detection of ECG R-peak using Bandpass Filter and Stockwell Transform Methods

SUBOH, M. Z. See more information about SUBOH, M. Z. on SCOPUS See more information about SUBOH, M. Z. on IEEExplore See more information about SUBOH, M. Z. on Web of Science, JAAFAR, R. See more information about  JAAFAR, R. on SCOPUS See more information about  JAAFAR, R. on SCOPUS See more information about JAAFAR, R. on Web of Science, NAYAN, N. A. See more information about  NAYAN, N. A. on SCOPUS See more information about  NAYAN, N. A. on SCOPUS See more information about NAYAN, N. A. on Web of Science, HARUN, N. H. See more information about HARUN, N. H. on SCOPUS See more information about HARUN, N. H. on SCOPUS See more information about HARUN, N. H. on Web of Science
 
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Download PDF pdficon (1,321 KB) | Citation | Downloads: 160 | Views: 291

Author keywords
biomedical signal processing, spectral analysis, electrocardiography, detection algorithms, signal processing algorithms

References keywords
signal(8), detection(7), transform(5), comput(5), biomed(5), wavelet(4), shannon(4), hilbert(4), energy(4), electrocardiogram(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-08-31
Volume 20, Issue 3, Year 2020, On page(s): 41 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.03005
Web of Science Accession Number: 000564453800005
SCOPUS ID: 85090323119

Abstract
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Shannon energy-based algorithm has been implemented in peak detection method of various physiological signals including electrocardiogram, which is used to enhance significant peaks for accurate peak detection. Two significant methods of R-peak detection that apply Shannon energy are identified. However, direct comparison cannot be made due to the differences in database used, number of beat analysed, frequency range selected, and signal processing technique applied. This paper aimed to properly evaluate the performance of Shannon energy-based algorithms for R-peak detection on two methods of bandpass filter and Stockwell transform. Simple enveloping technique using moving average filter is proposed, and a threshold is set to localize R-peak at a selected frequency range of 7-15 Hz. Performance of both methods were then evaluated using all 48 data from MIT-BIH Arrhythmia database. Result showed that both methods are equivalently useful in reducing P and T waves interference and produced similar output of Shannon energy envelope. However, Shannon energy application on bandpass filter offered 99.71% sensitivity, 99.80% positive predictivity and 99.52% accuracy, slightly better than that of the Stockwell transform method that only produced 99.65% sensitivity, 99.68% positive predictivity and 99.33% accuracy.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 8,868 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 306 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-02-27 23:06 in 156 seconds.




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