Chowdhury, M.H.; Chowdhury, M.E.H.; Khan, M.S.; Ullah, M.A.; Mahmud, S.; Khandakar, A.; Hassan, A.; Tahir, A.M.; Hasan, A.
Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect. Bioengineering 2023, 10, 542.
https://doi.org/10.3390/bioengineering10050542
AMA Style
Chowdhury MH, Chowdhury MEH, Khan MS, Ullah MA, Mahmud S, Khandakar A, Hassan A, Tahir AM, Hasan A.
Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect. Bioengineering. 2023; 10(5):542.
https://doi.org/10.3390/bioengineering10050542
Chicago/Turabian Style
Chowdhury, Moajjem Hossain, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md Asad Ullah, Sakib Mahmud, Amith Khandakar, Alvee Hassan, Anas M. Tahir, and Anwarul Hasan.
2023. "Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect" Bioengineering 10, no. 5: 542.
https://doi.org/10.3390/bioengineering10050542
APA Style
Chowdhury, M. H., Chowdhury, M. E. H., Khan, M. S., Ullah, M. A., Mahmud, S., Khandakar, A., Hassan, A., Tahir, A. M., & Hasan, A.
(2023). Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect. Bioengineering, 10(5), 542.
https://doi.org/10.3390/bioengineering10050542
