Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals

This study presents a novel method for estimating the signal quality of photoplethysmographic (PPG) signals. For this purpose a robust classifier is implemented and evaluated by using finger- and inear-PPG. A new procedure is proposed, which uses feature reduction to determine the Mahalanobis distan...

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Autores principales:	Massmann Jonas, Tigges Timo, Orglmeister Reinhold
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	signal quality index artifacts pulse oximetry photoplethysmography heart rate Medicine R
Acceso en línea:	https://doaj.org/article/81bb199f5ffd4661bfa6941b3815b738
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spelling	oai:doaj.org-article:81bb199f5ffd4661bfa6941b3815b7382021-12-05T14:10:43ZContinuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals2364-550410.1515/cdbme-2020-3131https://doaj.org/article/81bb199f5ffd4661bfa6941b3815b7382020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3131https://doaj.org/toc/2364-5504This study presents a novel method for estimating the signal quality of photoplethysmographic (PPG) signals. For this purpose a robust classifier is implemented and evaluated by using finger- and inear-PPG. A new procedure is proposed, which uses feature reduction to determine the Mahalanobis distance of the PPG-pulses to a statistical reference model and thus facilitates a robust heart rate extraction. The evaluation of the algorithm is based on a classical binary classification using a manually annotated gold standard. For the finger-PPG a sensitivity of 86 ± 15 % and a specificity of 94 ± 13 % was achieved. Additionally, a novel classification method which is based on a continuous signal quality index is used. Pulse rate estimation errors greater than 5 BPM can be detected with a sensitivity of 91 ± 13 % and a specificity of 91 ± 15 %. Also, a functional correlation between the signal quality index and the standard deviation of the pulse rate error is shown. The proposed classifier can be used for improving the heart rate extration in pulse rate variability analysis or in the area of mobile monitoring for battery saving.Massmann JonasTigges TimoOrglmeister ReinholdDe Gruyterarticlesignal quality indexartifactspulse oximetryphotoplethysmographyheart rateMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 510-513 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	signal quality index artifacts pulse oximetry photoplethysmography heart rate Medicine R
spellingShingle	signal quality index artifacts pulse oximetry photoplethysmography heart rate Medicine R Massmann Jonas Tigges Timo Orglmeister Reinhold Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
description	This study presents a novel method for estimating the signal quality of photoplethysmographic (PPG) signals. For this purpose a robust classifier is implemented and evaluated by using finger- and inear-PPG. A new procedure is proposed, which uses feature reduction to determine the Mahalanobis distance of the PPG-pulses to a statistical reference model and thus facilitates a robust heart rate extraction. The evaluation of the algorithm is based on a classical binary classification using a manually annotated gold standard. For the finger-PPG a sensitivity of 86 ± 15 % and a specificity of 94 ± 13 % was achieved. Additionally, a novel classification method which is based on a continuous signal quality index is used. Pulse rate estimation errors greater than 5 BPM can be detected with a sensitivity of 91 ± 13 % and a specificity of 91 ± 15 %. Also, a functional correlation between the signal quality index and the standard deviation of the pulse rate error is shown. The proposed classifier can be used for improving the heart rate extration in pulse rate variability analysis or in the area of mobile monitoring for battery saving.
format	article
author	Massmann Jonas Tigges Timo Orglmeister Reinhold
author_facet	Massmann Jonas Tigges Timo Orglmeister Reinhold
author_sort	Massmann Jonas
title	Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
title_short	Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
title_full	Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
title_fullStr	Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
title_full_unstemmed	Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
title_sort	continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/81bb199f5ffd4661bfa6941b3815b738
work_keys_str_mv	AT massmannjonas continuoussignalqualityestimationforrobustheartrateextractionfromphotoplethysmographicsignals AT tiggestimo continuoussignalqualityestimationforrobustheartrateextractionfromphotoplethysmographicsignals AT orglmeisterreinhold continuoussignalqualityestimationforrobustheartrateextractionfromphotoplethysmographicsignals
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Continuous signal quality estimation for robust heart rate extraction from photoplethysmographic signals

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