Deep arrhythmia classification based on SENet and lightweight context transform

Deep arrhythmia classification based on SENet and lightweight context transform

Arrhythmia is one of the common cardiovascular diseases. Nowadays, many methods identify arrhythmias from electrocardiograms (ECGs) by computer-aided systems. However, computer-aided systems could not identify arrhythmias effectively due to various the morphological change of abnormal ECG data. This...

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Bibliographic Details
Main Authors: Yuni Zeng, Hang Lv, Mingfeng Jiang, Jucheng Zhang, Ling Xia, Yaming Wang, Zhikang Wang
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
continuous wavelet transform
squeeze-and-excitation network
lightweight context transform
arrhythmia classification
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023001?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023001?viewType=HTML

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