Original paper
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Abstract
Background Generalization model capacity of deep learning (DL) approach for atrial fibrillation (AF) detection remains lacking. It can be seen from previous researches, the DL model formation used only a single frequency sampling of the specific device. Besides, each electrocardiogram (ECG) acquisition dataset produces a different length and sampling frequency to ensure sufficient precision of the R–R intervals to determine the heart rate...
Paper Details
Title
AFibNet: an implementation of atrial fibrillation detection with convolutional neural network
Published Date
Jul 14, 2021
Volume
21
Issue
1
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