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An Automatic Premature Ventricular Contraction Recognition System Based on Imbalanced Dataset and Pre-Trained Residual Network Using Transfer Learning on ECG Signal.
Ullah, Hadaate; Heyat, Md Belal Bin; Akhtar, Faijan; Muaad, Abdullah Y; Ukwuoma, Chiagoziem C; Bilal, Muhammad; Miraz, Mahdi H; Bhuiyan, Mohammad Arif Sobhan; Wu, Kaishun; Damasevicius, Robertas; Pan, Taisong; Gao, Min; Lin, Yuan; Lai, Dakun.
Afiliación
  • Ullah H; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Heyat MBB; IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China.
  • Akhtar F; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Muaad AY; IT Department, Sana'a Community College, Sana'a 5695, Yemen.
  • Ukwuoma CC; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Bilal M; College of Pharmacy, Liaquat University of Medical and Health Sciences, Jamshoro 76090, Pakistan.
  • Miraz MH; School of Computing and Data Science, Xiamen University Malaysia, Bandar Sunsuria, Sepang 43900, Malaysia.
  • Bhuiyan MAS; School of Computing, Glyndwr University, Wrexham LL11 2AW, UK.
  • Wu K; School of Computing and Data Science, Xiamen University Malaysia, Bandar Sunsuria, Sepang 43900, Malaysia.
  • Damasevicius R; IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China.
  • Pan T; Department of Software Engineering, Kaunas University of Technology, 44249 Kaunas, Lithuania.
  • Gao M; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Lin Y; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, China.
  • Lai D; State Key Laboratory of Electronic Thin Films and Integrated Devices, School of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, China.
Diagnostics (Basel) ; 13(1)2022 Dec 28.
Article en En | MEDLINE | ID: mdl-36611379
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China