Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation

Detalles Bibliográficos
Autores principales: Mol, Daniel, Riezebos, Robert K., Marquering, Henk A., Werner, Marije E., Lobban, Trudie C.A., de Jong, Jonas S.S.G., de Groot, Joris R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Short Reports/Case Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890349/
https://www.ncbi.nlm.nih.gov/pubmed/35265881
http://dx.doi.org/10.1016/j.cvdhj.2020.08.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8890349/
https://www.ncbi.nlm.nih.gov/pubmed/35265881
http://dx.doi.org/10.1016/j.cvdhj.2020.08.004

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