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Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm

The challenge of heart rate monitoring based on wrist photoplethysmography (PPG) during heavy exercise is addressed. PPG is susceptible to motion artefacts, which have to be mitigated for accurate heart rate estimation. Motion artefacts are particularly apparent for wrist devices, for example, a sma...

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Detalles Bibliográficos
Autores principales: Lai, Po-Hsiang, Kim, Insoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Institution of Engineering and Technology 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4614154/
https://www.ncbi.nlm.nih.gov/pubmed/26609397
http://dx.doi.org/10.1049/htl.2014.0097
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author Lai, Po-Hsiang
Kim, Insoo
author_facet Lai, Po-Hsiang
Kim, Insoo
author_sort Lai, Po-Hsiang
collection PubMed
description The challenge of heart rate monitoring based on wrist photoplethysmography (PPG) during heavy exercise is addressed. PPG is susceptible to motion artefacts, which have to be mitigated for accurate heart rate estimation. Motion artefacts are particularly apparent for wrist devices, for example, a smart watch, because of the high mobility of the arms. Proposed is a low complexity highly accurate heart rate estimation method for continuous heart rate monitoring using wrist PPG. The proposed method achieved 2.57% mean absolute error in a test data set where subjects ran for a maximum speed of 17 km/h.
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spelling pubmed-46141542016-02-24 Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm Lai, Po-Hsiang Kim, Insoo Healthc Technol Lett Article The challenge of heart rate monitoring based on wrist photoplethysmography (PPG) during heavy exercise is addressed. PPG is susceptible to motion artefacts, which have to be mitigated for accurate heart rate estimation. Motion artefacts are particularly apparent for wrist devices, for example, a smart watch, because of the high mobility of the arms. Proposed is a low complexity highly accurate heart rate estimation method for continuous heart rate monitoring using wrist PPG. The proposed method achieved 2.57% mean absolute error in a test data set where subjects ran for a maximum speed of 17 km/h. The Institution of Engineering and Technology 2015-02-24 /pmc/articles/PMC4614154/ /pubmed/26609397 http://dx.doi.org/10.1049/htl.2014.0097 Text en http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/)
spellingShingle Article
Lai, Po-Hsiang
Kim, Insoo
Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
title Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
title_full Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
title_fullStr Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
title_full_unstemmed Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
title_short Lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
title_sort lightweight wrist photoplethysmography for heavy exercise: motion robust heart rate monitoring algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4614154/
https://www.ncbi.nlm.nih.gov/pubmed/26609397
http://dx.doi.org/10.1049/htl.2014.0097
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