Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.

Cardiovascular diseases are the number one cause of death worldwide. Currently, portable battery-operated systems such as mobile phones with wireless ECG sensors have the potential to be used in continuous cardiac function assessment that can be easily integrated into daily life. These portable poin...

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Autores principales:	Mohamed Elgendi, Björn Eskofier, Socrates Dokos, Derek Abbott
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2014
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b8e756121e7f4cf8a5f611dc4fb8fc69
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spelling	oai:doaj.org-article:b8e756121e7f4cf8a5f611dc4fb8fc692021-11-18T08:38:47ZRevisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.1932-620310.1371/journal.pone.0084018https://doaj.org/article/b8e756121e7f4cf8a5f611dc4fb8fc692014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24409290/?tool=EBIhttps://doaj.org/toc/1932-6203Cardiovascular diseases are the number one cause of death worldwide. Currently, portable battery-operated systems such as mobile phones with wireless ECG sensors have the potential to be used in continuous cardiac function assessment that can be easily integrated into daily life. These portable point-of-care diagnostic systems can therefore help unveil and treat cardiovascular diseases. The basis for ECG analysis is a robust detection of the prominent QRS complex, as well as other ECG signal characteristics. However, it is not clear from the literature which ECG analysis algorithms are suited for an implementation on a mobile device. We investigate current QRS detection algorithms based on three assessment criteria: 1) robustness to noise, 2) parameter choice, and 3) numerical efficiency, in order to target a universal fast-robust detector. Furthermore, existing QRS detection algorithms may provide an acceptable solution only on small segments of ECG signals, within a certain amplitude range, or amid particular types of arrhythmia and/or noise. These issues are discussed in the context of a comparison with the most conventional algorithms, followed by future recommendations for developing reliable QRS detection schemes suitable for implementation on battery-operated mobile devices.Mohamed ElgendiBjörn EskofierSocrates DokosDerek AbbottPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 1, p e84018 (2014)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mohamed Elgendi Björn Eskofier Socrates Dokos Derek Abbott Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.
description	Cardiovascular diseases are the number one cause of death worldwide. Currently, portable battery-operated systems such as mobile phones with wireless ECG sensors have the potential to be used in continuous cardiac function assessment that can be easily integrated into daily life. These portable point-of-care diagnostic systems can therefore help unveil and treat cardiovascular diseases. The basis for ECG analysis is a robust detection of the prominent QRS complex, as well as other ECG signal characteristics. However, it is not clear from the literature which ECG analysis algorithms are suited for an implementation on a mobile device. We investigate current QRS detection algorithms based on three assessment criteria: 1) robustness to noise, 2) parameter choice, and 3) numerical efficiency, in order to target a universal fast-robust detector. Furthermore, existing QRS detection algorithms may provide an acceptable solution only on small segments of ECG signals, within a certain amplitude range, or amid particular types of arrhythmia and/or noise. These issues are discussed in the context of a comparison with the most conventional algorithms, followed by future recommendations for developing reliable QRS detection schemes suitable for implementation on battery-operated mobile devices.
format	article
author	Mohamed Elgendi Björn Eskofier Socrates Dokos Derek Abbott
author_facet	Mohamed Elgendi Björn Eskofier Socrates Dokos Derek Abbott
author_sort	Mohamed Elgendi
title	Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.
title_short	Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.
title_full	Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.
title_fullStr	Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.
title_full_unstemmed	Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.
title_sort	revisiting qrs detection methodologies for portable, wearable, battery-operated, and wireless ecg systems.
publisher	Public Library of Science (PLoS)
publishDate	2014
url	https://doaj.org/article/b8e756121e7f4cf8a5f611dc4fb8fc69
work_keys_str_mv	AT mohamedelgendi revisitingqrsdetectionmethodologiesforportablewearablebatteryoperatedandwirelessecgsystems AT bjorneskofier revisitingqrsdetectionmethodologiesforportablewearablebatteryoperatedandwirelessecgsystems AT socratesdokos revisitingqrsdetectionmethodologiesforportablewearablebatteryoperatedandwirelessecgsystems AT derekabbott revisitingqrsdetectionmethodologiesforportablewearablebatteryoperatedandwirelessecgsystems
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Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.

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