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An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance

Heartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram...

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Autores principales: Mohd Apandi, Ziti Fariha, Ikeura, Ryojun, Hayakawa, Soichiro, Tsutsumi, Shigeyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357458/
https://www.ncbi.nlm.nih.gov/pubmed/32517214
http://dx.doi.org/10.3390/bioengineering7020053
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author Mohd Apandi, Ziti Fariha
Ikeura, Ryojun
Hayakawa, Soichiro
Tsutsumi, Shigeyoshi
author_facet Mohd Apandi, Ziti Fariha
Ikeura, Ryojun
Hayakawa, Soichiro
Tsutsumi, Shigeyoshi
author_sort Mohd Apandi, Ziti Fariha
collection PubMed
description Heartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram (ECG) noises and the beat detection performance in the cardiac monitoring system. For this purpose, three well-known algorithms for the beat detection process were re-implemented. The beat detection algorithms were validated using two types of ambulatory datasets, which were the ECG signal from the MIT-BIH Arrhythmia Database and the simulated noise-contaminated ECG signal with different intensities of baseline wander (BW), muscle artefact (MA) and electrode motion (EM) artefact from the MIT-BIH Noise Stress Test Database. The findings showed that signals contaminated with noise and artefacts decreased the potential of beat detection in ambulatory signal with the poorest performance noted for ECG signal affected by the EM artefacts. In conclusion, none of the algorithms was able to detect all QRS complexes without any false detection at the highest level of noise. The EM noise influenced the beat detection performance the most in comparison to the MA and BW noises that resulted in the highest number of misdetections and false detections.
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spelling pubmed-73574582020-07-22 An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance Mohd Apandi, Ziti Fariha Ikeura, Ryojun Hayakawa, Soichiro Tsutsumi, Shigeyoshi Bioengineering (Basel) Article Heartbeat detection for ambulatory cardiac monitoring is more challenging as the level of noise and artefacts induced by daily-life activities are considerably higher than monitoring in a hospital setting. It is valuable to understand the relationship between the characteristics of electrocardiogram (ECG) noises and the beat detection performance in the cardiac monitoring system. For this purpose, three well-known algorithms for the beat detection process were re-implemented. The beat detection algorithms were validated using two types of ambulatory datasets, which were the ECG signal from the MIT-BIH Arrhythmia Database and the simulated noise-contaminated ECG signal with different intensities of baseline wander (BW), muscle artefact (MA) and electrode motion (EM) artefact from the MIT-BIH Noise Stress Test Database. The findings showed that signals contaminated with noise and artefacts decreased the potential of beat detection in ambulatory signal with the poorest performance noted for ECG signal affected by the EM artefacts. In conclusion, none of the algorithms was able to detect all QRS complexes without any false detection at the highest level of noise. The EM noise influenced the beat detection performance the most in comparison to the MA and BW noises that resulted in the highest number of misdetections and false detections. MDPI 2020-06-06 /pmc/articles/PMC7357458/ /pubmed/32517214 http://dx.doi.org/10.3390/bioengineering7020053 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mohd Apandi, Ziti Fariha
Ikeura, Ryojun
Hayakawa, Soichiro
Tsutsumi, Shigeyoshi
An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
title An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
title_full An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
title_fullStr An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
title_full_unstemmed An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
title_short An Analysis of the Effects of Noisy Electrocardiogram Signal on Heartbeat Detection Performance
title_sort analysis of the effects of noisy electrocardiogram signal on heartbeat detection performance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357458/
https://www.ncbi.nlm.nih.gov/pubmed/32517214
http://dx.doi.org/10.3390/bioengineering7020053
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