Contactless facial video recording with deep learning models for the detection of atrial fibrillation

Atrial fibrillation (AF) is often asymptomatic and paroxysmal. Screening and monitoring are needed especially for people at high risk. This study sought to use camera-based remote photoplethysmography (rPPG) with a deep convolutional neural network (DCNN) learning model for AF detection. All partici...

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Detalles Bibliográficos
Autores principales: Sun, Yu, Yang, Yin-Yin, Wu, Bing-Jhang, Huang, Po-Wei, Cheng, Shao-En, Wu, Bing-Fei, Chen, Chun-Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741942/
https://www.ncbi.nlm.nih.gov/pubmed/34996908
http://dx.doi.org/10.1038/s41598-021-03453-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741942/
https://www.ncbi.nlm.nih.gov/pubmed/34996908
http://dx.doi.org/10.1038/s41598-021-03453-y

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