Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning application

BACKGROUND: Atrial fibrillation (AF), a common cause of stroke, often is asymptomatic. Smartphones and smartwatches can detect AF using heart rate patterns inferred using photoplethysmography (PPG); however, enhanced accuracy is required to reduce false positives in screening populations. OBJECTIVE:...

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Bibliografiske detaljer
Udgivet i:	Heart Rhythm O2
Main Authors:	Aschbacher, Kirstin, Yilmaz, Defne, Kerem, Yaniv, Crawford, Stuart, Benaron, David, Liu, Jiaqi, Eaton, Meghan, Tison, Geoffrey H., Olgin, Jeffrey E., Li, Yihan, Marcus, Gregory M.
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2020
Fag:	Clinical
Online adgang:	https://ncbi.nlm.nih.gov/pmc/articles/PMC8183963/ https://ncbi.nlm.nih.gov/pubmed/34113853 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.hroo.2020.02.002
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Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning application

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