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ECG Classification for Detecting ECG Arrhythmia Empowered with Deep Learning Approaches.
Rahman, Atta-Ur; Asif, Rizwana Naz; Sultan, Kiran; Alsaif, Suleiman Ali; Abbas, Sagheer; Khan, Muhammad Adnan; Mosavi, Amir.
Afiliação
  • Rahman AU; Department of Computer Science, College of Computer Science, and Information Technology (CCSIT), Imam Abdulrahman Bin Faisal University (IAU), P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Asif RN; School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan.
  • Sultan K; Department of CIT, The Applied College, King Abdulaziz University, Jeddah, Saudi Arabia.
  • Alsaif SA; Department of Computer, Deanship of Preparatory Year and Supporting Studies, Imam Abdulrahman Bin Faisal University, P.O. Box 1982, Dammam 31441, Saudi Arabia.
  • Abbas S; School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan.
  • Khan MA; Department of Software, Gachon University, Seongnam 13120, Republic of Korea.
  • Mosavi A; John von Neumann Faculty of Informatics, Obuda University, Budapest 1034, Hungary.
Comput Intell Neurosci ; 2022: 6852845, 2022.
Article em En | MEDLINE | ID: mdl-35958748
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Idioma: En Ano de publicação: 2022 Tipo de documento: Article