5105A deep neural network predicts atrial fibrillation from normal ECGs recorded on a smartphone-enabled device
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DOI: 10.1093/eurheartj/ehz746.0041
Abstract: Electrocardiographic predictors of atrial fibrillation (AF) from a non-AF ECG–such as p wave abnormalities and supraventricular ectopy–have been extensively documented. However, risk prediction tools for AF utilize little if any of the wealth of information… read more here.
Keywords: normal ecgs; deep learning; ecgs; model ... See more keywords