Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect

Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect

Magnetic resonance imaging (MRI) is commonly used in medical diagnosis and minimally invasive image-guided operations. During an MRI scan, the patient’s electrocardiogram (ECG) may be required for either gating or patient monitoring. However, the challenging environment of an MRI scanner, with its s...

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Bibliographic Details
Main Authors: Moajjem Hossain Chowdhury, Muhammad E. H. Chowdhury, Muhammad Salman Khan, Md Asad Ullah, Sakib Mahmud, Amith Khandakar, Alvee Hassan, Anas M. Tahir, Anwarul Hasan
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Bioengineering
Subjects:
magnetohydrodynamic (MHD) effect
magnetic resonance imaging (MRI)
electrocardiogram (ECG)
operational neural networks (ONN)
R-peak detection
feature pyramid network (FPN)
Online Access:https://www.mdpi.com/2306-5354/10/5/542

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https://www.mdpi.com/2306-5354/10/5/542

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