An effective and lightweight deep electrocardiography arrhythmia recognition model using novel special and native structural regularization techniques on cardiac signal

HIGHLIGHTS

• who: Hadaate Ullah et al. from the School of Materials and Energy, State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, Sichuan, China have published the Article: An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal, in the Journal: Journal of Healthcare Engineering of 12/04/2022
• what: In this work two effective and lightweight deep learning models named Deep-SR and Deep-NSR are proposed to recognize ECG beats which are based on . . .
  

   

  

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