A Robust Random Forest-Based Approach for Heart Rate Monitoring Using Photoplethysmography Signal Contaminated by Intense Motion Artifacts

The estimation of heart rate (HR) based on wearable devices is of interest in fitness. Photoplethysmography (PPG) is a promising approach to estimate HR due to low cost; however, it is easily corrupted by motion artifacts (MA). In this work, a robust approach based on random forest is proposed for a...

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Detalles Bibliográficos
Autores principales: Ye, Yalan, He, Wenwen, Cheng, Yunfei, Huang, Wenxia, Zhang, Zhilin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335968/
https://www.ncbi.nlm.nih.gov/pubmed/28212327
http://dx.doi.org/10.3390/s17020385

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335968/
https://www.ncbi.nlm.nih.gov/pubmed/28212327
http://dx.doi.org/10.3390/s17020385

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