Cargando…

An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals

Today’s wearable medical devices are becoming popular because of their price and ease of use. Most wearable medical devices allow users to continuously collect and check their health data, such as electrocardiograms (ECG). Therefore, many of these devices have been used to monitor patients with pote...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Hongzu, Boulanger, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708403/
https://www.ncbi.nlm.nih.gov/pubmed/34960263
http://dx.doi.org/10.3390/s21248169
_version_ 1784622676120174592
author Li, Hongzu
Boulanger, Pierre
author_facet Li, Hongzu
Boulanger, Pierre
author_sort Li, Hongzu
collection PubMed
description Today’s wearable medical devices are becoming popular because of their price and ease of use. Most wearable medical devices allow users to continuously collect and check their health data, such as electrocardiograms (ECG). Therefore, many of these devices have been used to monitor patients with potential heart pathology as they perform their daily activities. However, one major challenge of collecting heart data using mobile ECG is baseline wander and motion artifacts created by the patient’s daily activities, resulting in false diagnoses. This paper proposes a new algorithm that automatically removes the baseline wander and suppresses most motion artifacts in mobile ECG recordings. This algorithm clearly shows a significant improvement compared to the conventional noise removal method. Two signal quality metrics are used to compare a reference ECG with its noisy version: correlation coefficients and mean squared error. For both metrics, the experimental results demonstrate that the noisy signal filtered by our algorithm is improved by a factor of ten.
format Online
Article
Text
id pubmed-8708403
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-87084032021-12-25 An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals Li, Hongzu Boulanger, Pierre Sensors (Basel) Article Today’s wearable medical devices are becoming popular because of their price and ease of use. Most wearable medical devices allow users to continuously collect and check their health data, such as electrocardiograms (ECG). Therefore, many of these devices have been used to monitor patients with potential heart pathology as they perform their daily activities. However, one major challenge of collecting heart data using mobile ECG is baseline wander and motion artifacts created by the patient’s daily activities, resulting in false diagnoses. This paper proposes a new algorithm that automatically removes the baseline wander and suppresses most motion artifacts in mobile ECG recordings. This algorithm clearly shows a significant improvement compared to the conventional noise removal method. Two signal quality metrics are used to compare a reference ECG with its noisy version: correlation coefficients and mean squared error. For both metrics, the experimental results demonstrate that the noisy signal filtered by our algorithm is improved by a factor of ten. MDPI 2021-12-07 /pmc/articles/PMC8708403/ /pubmed/34960263 http://dx.doi.org/10.3390/s21248169 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Hongzu
Boulanger, Pierre
An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
title An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
title_full An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
title_fullStr An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
title_full_unstemmed An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
title_short An Automatic Method to Reduce Baseline Wander and Motion Artifacts on Ambulatory Electrocardiogram Signals
title_sort automatic method to reduce baseline wander and motion artifacts on ambulatory electrocardiogram signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8708403/
https://www.ncbi.nlm.nih.gov/pubmed/34960263
http://dx.doi.org/10.3390/s21248169
work_keys_str_mv AT lihongzu anautomaticmethodtoreducebaselinewanderandmotionartifactsonambulatoryelectrocardiogramsignals
AT boulangerpierre anautomaticmethodtoreducebaselinewanderandmotionartifactsonambulatoryelectrocardiogramsignals
AT lihongzu automaticmethodtoreducebaselinewanderandmotionartifactsonambulatoryelectrocardiogramsignals
AT boulangerpierre automaticmethodtoreducebaselinewanderandmotionartifactsonambulatoryelectrocardiogramsignals