[Paper]Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

基于卷积神经网络的心脏科医生级别的心律失常检测

Abstract

摘要

We develop an algorithm which exceeds the performance of board certified cardiologists in detecting a wide range of heart arrhythmias from electrocardiograms recorded with a single-lead wearable monitor. We build a dataset with more than 500 times the number of unique patients than previously studied corpora. On this dataset,we train a 34-layer convolutional neural network which maps a sequence of ECG samples to a sequence of rhythm classes. Committees of boardcertified cardiologists annotate a gold standard test set on which we compare the performance of our model to that of 6 other individual cardiologists. We exceed the average cardiologist performance in both recall (sensitivity) and precision(po