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Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect.
Chowdhury, Moajjem Hossain; Chowdhury, Muhammad E H; Khan, Muhammad Salman; Ullah, Md Asad; Mahmud, Sakib; Khandakar, Amith; Hassan, Alvee; Tahir, Anas M; Hasan, Anwarul.
Afiliação
  • Chowdhury MH; Department of Electrical, Electronic and System Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
  • Chowdhury MEH; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Khan MS; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Ullah MA; Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar.
  • Mahmud S; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Khandakar A; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Hassan A; Department of Biomedical Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh.
  • Tahir AM; Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Hasan A; Department of Mechanical and Industrial Engineering, Qatar University, Doha 2713, Qatar.
Bioengineering (Basel) ; 10(5)2023 Apr 28.
Article em En | MEDLINE | ID: mdl-37237612
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Bioengineering (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Malásia
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Bioengineering (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Malásia