Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks

Volume: 113, Pages: 304 - 317
Published: Dec 1, 2020
Abstract
The most prevalent arrhythmia observed in clinical practice is atrial fibrillation (AF). AF is associated with an irregular heartbeat pattern and a lack of a distinct P-waves signal. A low-cost method for identifying this condition is the use of a single-lead electrocardiogram (ECG) as the gold standard for AF diagnosis, after annotation by experts. However, manual interpretation of these signals may be subjective and susceptible to...
Paper Details
Title
Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks
Published Date
Dec 1, 2020
Volume
113
Pages
304 - 317
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