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A deep convolutional neural network model to classify heartbeats

U. Acharya, Shu Lih Oh, Yuki Hagiwara, J. Tan, M. Adam, Arkadiusz Gertych, Ruyan Tan

2017.10.1COMPUTERS IN BIOLOGY AND MEDICINE

DOI: 10.1016/j.compbiomed.2017.08.022

tlooto Summary

A 9-layer deep convolutional neural network (CNN) is developed to automatically identify 5 different categories of heartbeats in ECG signals to serve as a tool for screening of ECG to quickly identify different types and frequency of arrhythmicheartbeats.

Abstract

Abstract is not available.

Citation format

ACHARYA, U., et al. A deep convolutional neural network model to classify heartbeats. COMPUTERS IN BIOLOGY AND MEDICINE, 2017, 89: 389–396.