Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Abstract
Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workflow1. Widely available digital ECG data and the algorithmic paradigm of deep learning2 present an opportunity to substantially improve the accuracy and scalability of automated ECG analysis. However, a comprehensive evaluation of an end-to-end deep learning approach for ECG analysis across a wide variety of diagnostic classes has not been...
Paper Details
Title
Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network
Published Date
Jan 1, 2019
Journal
Volume
25
Issue
1
Pages
65 - 69
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