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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
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 |
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