Performance analysis of remote photoplethysmography deep filtering using long short-term memory neural network

BACKGROUND: Remote photoplethysmography (rPPG) is a technique developed to estimate heart rate using standard video cameras and ambient light. Due to the multiple sources of noise that deteriorate the quality of the signal, conventional filters such as the bandpass and wavelet-based filters are comm...

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Detalles Bibliográficos
Autores principales: Botina-Monsalve, Deivid, Benezeth, Yannick, Miteran, Johel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487135/
https://www.ncbi.nlm.nih.gov/pubmed/36123747
http://dx.doi.org/10.1186/s12938-022-01037-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487135/
https://www.ncbi.nlm.nih.gov/pubmed/36123747
http://dx.doi.org/10.1186/s12938-022-01037-z

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