An Arrhythmia Classification Model Based on Vision Transformer with Deformable Attention

An Arrhythmia Classification Model Based on Vision Transformer with Deformable Attention

The electrocardiogram (ECG) is a highly effective non-invasive tool for monitoring heart activity and diagnosing cardiovascular diseases (CVDs). Automatic detection of arrhythmia based on ECG plays a critical role in the early prevention and diagnosis of CVDs. In recent years, numerous studies have...

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Bibliographic Details
Main Authors: Yanfang Dong, Miao Zhang, Lishen Qiu, Lirong Wang, Yong Yu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Micromachines
Subjects:
arrhythmia
deep learning
ECG signal
deformable attention transformer
depthwise separable convolution
Online Access:https://www.mdpi.com/2072-666X/14/6/1155

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