Atrial Fibrillation Detection Using Deep Features and Convolutional Networks

28 Mar 2019Sara Ross-HoweH. R. Tizhoosh

Atrial fibrillation is a cardiac arrhythmia that affects an estimated 33.5 million people globally and is the potential cause of 1 in 3 strokes in people over the age of 60. Detection and diagnosis of atrial fibrillation (AFIB) is done noninvasively in the clinical environment through the evaluation of electrocardiograms (ECGs)... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK LEADERBOARD
Atrial Fibrillation Detection MIT-BIH AF Spectrogram + ConvNet Accuracy 93.16% # 6