An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal

Recently, cardiac arrhythmia recognition from electrocardiography (ECG) with deep learning approaches is becoming popular in clinical diagnosis systems due to its good prognosis findings, where expert data preprocessing and feature engineering are not usually required. But a lightweight and effectiv...

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Main Authors: Hadaate Ullah, Md Belal Bin Heyat, Hussain AlSalman, Haider Mohammed Khan, Faijan Akhtar, Abdu Gumaei, Aaman Mehdi, Abdullah Y. Muaad, Md Sajjatul Islam, Arif Ali, Yuxiang Bu, Dilpazir Khan, Taisong Pan, Min Gao, Yuan Lin, Dakun Lai
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Limited 2022-01-01
Colecção:Journal of Healthcare Engineering
Acesso em linha:http://dx.doi.org/10.1155/2022/3408501
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