Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network

Automated ECG Classification Using Dual Heartbeat Coupling Based on Convolutional Neural Network

A high performance electrocardiogram (ECG)-based arrhythmic beats classification system is presented in this paper. The classifier was designed based on convolutional neural network (CNN). Single channel ECG signal was segmented into heartbeats in accordance with the changing heartbeat rate. The bea...

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Bibliographic Details
Main Authors: Xiaolong Zhai, Chung Tin
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
ECG classification
arrhythmia
patient-specific
Online Access:https://ieeexplore.ieee.org/document/8356203/

Internet

https://ieeexplore.ieee.org/document/8356203/

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