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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2015
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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. |
format | Online Article Text |
id | pubmed-4614154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Institution of Engineering and Technology |
record_format | MEDLINE/PubMed |
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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