Enhancing ECG classification with continuous wavelet transform and multi-branch transformer

Enhancing ECG classification with continuous wavelet transform and multi-branch transformer

Background: Accurate classification of electrocardiogram (ECG) signals is crucial for automatic diagnosis of heart diseases. However, existing ECG classification methods often require complex preprocessing and denoising operations, and traditional convolutional neural network (CNN)-based methods str...

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Bibliographic Details
Main Authors: Chenyang Qiu, Hao Li, Chaoqun Qi, Bo Li
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Arrhythmia
Multi-branch transformer
Continuous wavelet transform
Convolutional neural network
Time-series feature map
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024021789

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http://www.sciencedirect.com/science/article/pii/S2405844024021789

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