A hybrid cardiovascular arrhythmia disease detection using ConvNeXt-X models on electrocardiogram signals.

Autor: Talukder MA; Department of Computer Science and Engineering, International University of Business Agriculture and Technology, Dhaka, Bangladesh. alamin.cse@iubat.edu., Khalid M; Department of Computer Science and Artificial Intelligence, College of Computing, Umm Al-Qura University, Makkah, 21955, Saudi Arabia., Kazi M; Department of Pharmaceutics, College of Pharmacy, King Saud University, P.O. Box-2457, Riyadh, 11451, Saudi Arabia., Muna NJ; Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh., Nur-E-Alam M; Department of Pharmacognosy, College of Pharmacy, King Saud University, P.O. BOX-2457, Riyadh, 11451, Saudi Arabia., Halder S; Data61, CSIRO, Melbourne, Australia., Sultana N; Department of ICT, Future Technology, RMIT University, Melbourne, Australia. nasrin.sultana@rmit.edu.au.

Publikováno v: Scientific reports [Sci Rep] 2024 Dec 05; Vol. 14 (1), pp. 30366. Date of Electronic Publication: 2024 Dec 05.