Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/81857
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Type: Journal article
Title: Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems
Author: Elgendi, M.
Eskofier, B.
Dokos, S.
Abbott, D.
Citation: PLoS One, 2014; 9(1):1-18
Publisher: Public Library of Science
Issue Date: 2014
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Mohamed Elgendi, Björn Eskofier, Socrates Dokos, Derek Abbott
Abstract: 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.
Keywords: Humans; Signal Processing, Computer-Assisted; Electrocardiography
Rights: © 2014 Elgendi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0020134089
DOI: 10.1371/journal.pone.0084018
Appears in Collections:Electrical and Electronic Engineering publications

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