Processing Photoplethysmograms Recorded by Smartwatches to Improve the Quality of Derived Pulse Rate Variability

Cardiac monitoring based on wearable photoplethysmography (PPG) is widespread because of its usability and low cost. Unfortunately, PPG is negatively affected by various types of disruptions, which could introduce errors to the algorithm that extracts pulse rate variability (PRV). This study aims to...

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Detalles Bibliográficos
Autores principales: Polak, Adam G., Klich, Bartłomiej, Saganowski, Stanisław, Prucnal, Monika A., Kazienko, Przemysław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502353/
https://www.ncbi.nlm.nih.gov/pubmed/36146394
http://dx.doi.org/10.3390/s22187047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502353/
https://www.ncbi.nlm.nih.gov/pubmed/36146394
http://dx.doi.org/10.3390/s22187047

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