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Deep residual-dense network based on bidirectional recurrent neural network for atrial fibrillation detection.
Laghari, Asif Ali; Sun, Yanqiu; Alhussein, Musaed; Aurangzeb, Khursheed; Anwar, Muhammad Shahid; Rashid, Mamoon.
Affiliation
  • Laghari AA; Software College, Shenyang Normal University, Shenyang, 110034, China.
  • Sun Y; Liaoning University of Traditional Chinese Medicine, Shenyang, China. syq506@163.com.
  • Alhussein M; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Kingdom of Saudi Arabia.
  • Aurangzeb K; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Kingdom of Saudi Arabia.
  • Anwar MS; Department of AI and Software, Gachon University, Seongnam-si, 13120, South Korea.
  • Rashid M; Department of Computer Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, 411048, India.
Sci Rep ; 13(1): 15109, 2023 09 13.
Article in En | MEDLINE | ID: mdl-37704659
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrial Fibrillation / Stroke Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country:
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atrial Fibrillation / Stroke Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2023 Document type: Article Affiliation country: