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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
Descripción
Sumario: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.