High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning

This study uses video and a pretrained deep convolutional neural network to analyze facial photoplethysmographic signals in detection of atrial fibrillation.

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Dades bibliogràfiques
Publicat a:JAMA Cardiol
Autors principals: Yan, Bryan P., Lai, William H. S., Chan, Christy K. Y., Au, Alex C. K., Freedman, Ben, Poh, Yukkee C., Poh, Ming-Zher
Format: Artigo
Idioma:Inglês
Publicat: American Medical Association 2019
Matèries:
Research Letter
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6902123/
https://ncbi.nlm.nih.gov/pubmed/31774461
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamacardio.2019.4004
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