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An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals

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Bibliographic Details
Main Author: Hoang, Van Manh
Other Authors: Nguyen, Ngoc-Viet
Format: Article
Language:English
Published: Journal of Electrocardiology 2021
Subjects:
R-peak detection
ECG
Summit navigator
Shannon energy envelope
Online Access:https://www.sciencedirect.com/science/article/abs/pii/S0022073621000017?via%3Dihub#!
https://dlib.phenikaa-uni.edu.vn/handle/PNK/1742
https://doi.org/10.1016/j.jelectrocard.2020.12.012
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spelling oai:localhost:PNK-17422022-08-17T05:54:53Z An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals Hoang, Van Manh Nguyen, Ngoc-Viet Pham, Manh Thang R-peak detection ECG Summit navigator Shannon energy envelope Q3 In recent decades, there has been an increased demand for the processing of electrocardiogram (ECG) signals because of its significant role in diagnosing cardiac diseases. The QRS complex is the dominant feature of the ECG signal. The detection of QRS complexes is thus an essential part of almost any ECG signal processing systems. This paper presents a developed QRS complex detection method using dominant peak extraction and Shannon energy envelope for useful ECG signal analysis. The algorithm is divided into three main stages: pre-processing, searching for dominant peaks, and removing false R peaks. The proposed algorithm is validated in static ECG recordings from the MIT-BIH Arrhythmia Database (MITDB) and noise-contaminated ECG stress tests from the Glasgow University Database (GUDB), separately. The method compares favorably with conventional and recently published results of many QRS detection algorithms on the same MITDB. Subsequently, valuable performance coefficients are also found on the GUDB. The average detection accuracy of finding R peaks exceed 99% on both the databases, especially for cardiac stress test records with high interference levels. The method enables a highly effective ECG signal processing tool under various noises, artifacts, abnormalities, and morphologies. 2021-06-14T07:21:45Z 2021-06-14T07:21:45Z 2021 Article Working Paper https://www.sciencedirect.com/science/article/abs/pii/S0022073621000017?via%3Dihub#! https://dlib.phenikaa-uni.edu.vn/handle/PNK/1742 https://doi.org/10.1016/j.jelectrocard.2020.12.012 en application/pdf Journal of Electrocardiology
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic R-peak detection
ECG
Summit navigator
Shannon energy envelope
spellingShingle R-peak detection
ECG
Summit navigator
Shannon energy envelope
Hoang, Van Manh
An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals
description Q3
author2 Nguyen, Ngoc-Viet
author_facet Nguyen, Ngoc-Viet
Hoang, Van Manh
format Article
author Hoang, Van Manh
author_sort Hoang, Van Manh
title An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals
title_short An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals
title_full An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals
title_fullStr An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals
title_full_unstemmed An innovative method based on Shannon energy envelope and summit navigation for detecting R peaks of noise stress test signals
title_sort innovative method based on shannon energy envelope and summit navigation for detecting r peaks of noise stress test signals
publisher Journal of Electrocardiology
publishDate 2021
url https://www.sciencedirect.com/science/article/abs/pii/S0022073621000017?via%3Dihub#!
https://dlib.phenikaa-uni.edu.vn/handle/PNK/1742
https://doi.org/10.1016/j.jelectrocard.2020.12.012
_version_ 1751856295222181888
score 8.891145

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