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A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram.
Musa, Nehemiah; Gital, Abdulsalam Ya'u; Aljojo, Nahla; Chiroma, Haruna; Adewole, Kayode S; Mojeed, Hammed A; Faruk, Nasir; Abdulkarim, Abubakar; Emmanuel, Ifada; Folawiyo, Yusuf Y; Ogunmodede, James A; Oloyede, Abdukareem A; Olawoyin, Lukman A; Sikiru, Ismaeel A; Katb, Ibrahim.
Afiliação
  • Musa N; Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
  • Gital AY; Department of Mathematical Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria.
  • Aljojo N; University of Jeddah, Jeddah, Saudi Arabia.
  • Chiroma H; Computer Science and Engineering, University of Hafr Al-Batin, Hafr, Saudi Arabia.
  • Adewole KS; Computer Science and Engineering , University of Hafr Al-Batin, Hafr Al-Batin, Saudi Arabia.
  • Mojeed HA; Department of Computer Science, University of Ilorin, Ilorin, Nigeria.
  • Faruk N; Department of Computer Science, University of Ilorin, Ilorin, Nigeria.
  • Abdulkarim A; Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria.
  • Emmanuel I; Department of Electrical Engineering, Ahmadu Bello University Zaria, Zaria, Nigeria.
  • Folawiyo YY; Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria.
  • Ogunmodede JA; Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria.
  • Oloyede AA; Department of Medicine, University of Ilorin, Ilorin, Nigeria.
  • Olawoyin LA; Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria.
  • Sikiru IA; Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria.
  • Katb I; Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria.
J Ambient Intell Humaniz Comput ; 14(7): 9677-9750, 2023.
Article em En | MEDLINE | ID: mdl-35821879

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Revista: J Ambient Intell Humaniz Comput Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nigéria

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Revista: J Ambient Intell Humaniz Comput Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Nigéria