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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Detalles Bibliográficos
Autores principales: Ullah, Hadaate, Bin Heyat, Md Belal, AlSalman, Hussain, Khan, Haider Mohammed, Akhtar, Faijan, Gumaei, Abdu, Mehdi, Aaman, Muaad, Abdullah Y., Islam, Md Sajjatul, Ali, Arif, Bu, Yuxiang, Khan, Dilpazir, Pan, Taisong, Gao, Min, Lin, Yuan, Lai, Dakun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018174/
https://www.ncbi.nlm.nih.gov/pubmed/35449862
http://dx.doi.org/10.1155/2022/3408501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018174/
https://www.ncbi.nlm.nih.gov/pubmed/35449862
http://dx.doi.org/10.1155/2022/3408501

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