Three-Heartbeat Multilead ECG Recognition Method for Arrhythmia Classification

Three-Heartbeat Multilead ECG Recognition Method for Arrhythmia Classification

Electrocardiogram (ECG) is the primary basis for the diagnosis of cardiovascular diseases. However, the amount of ECG data of patients makes manual interpretation time-consuming and onerous. Therefore, the intelligent ECG recognition technology is an important means to decrease the shortage of medic...

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Bibliographic Details
Main Authors: Liang-Hung Wang, Yan-Ting Yu, Wei Liu, Lu Xu, Chao-Xin Xie, Tao Yang, I-Chun Kuo, Xin-Kang Wang, Jie Gao, Pao-Cheng Huang, Shih-Lun Chen, Wei-Yuan Chiang, Patricia Angela R. Abu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Arrhythmia classification
electrocardiogram
one-dimensional convolutional neural network (1D-CNN)
priority model integrated voting method
three-heartbeat multi-lead (THML)
Online Access:https://ieeexplore.ieee.org/document/9762323/

Internet

https://ieeexplore.ieee.org/document/9762323/

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