Modeling of Single Muscle Fiber Action Potential With Varying Depth
- Conference
- Location
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Marshall University, Huntington, West Virginia
- Publication Date
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March 28, 2025
- Start Date
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March 28, 2025
- End Date
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March 29, 2025
- Page Count
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14
- Permanent URL
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https://peer.asee.org/54678
Paper Authors
Edward Jesse Sizemore III
Mohammed Ferdjallah Marshall University
Dr. Mohammed Ferdjallah is an Assistant Professor in the Department of Computer Science & Electrical Engineering at Marshall University. Dr. Mohammed Ferdjallah received his PhD degree in Electrical and Computer and MS degree in Biomedical Engineering from The University of Texas Austin. He also received his MD degree from the International University of the Health Sciences. He has a multidisciplinary expertise in image & signal processing, computational modeling, and statistical data analysis. As an electrical and biomedical engineering scientist, he conducted research in computer modeling of the brain, cranial electrical stimulation (CES), electrical impedance tomography, electrode design, and EMG and muscle action potentials and ions channels simulation & modeling. His technical research interests include digital systems, embedded, systems, computer architecture, adaptive and system identification, modeling and simulation, and signal and image processing. His clinical research interests include impacts of chronic diseases in elderly (such as Alzheimer’s disease, cancer, and diabetes), innovative technology for drug addiction treatment and prevention, medical records, comparative outcomes research, and biomedical sciences. He has successfully published several peer-reviewed articles in biomedical sciences, physical medicine and rehabilitation, modeling and simulation of physiological signals, motion analysis, and engineering.
Asad Salem
Abstract
The objective of this paper is to determine the impact of varying depth on the action potential across a muscle fiber. Electrophysiological Imaging has improved the clinical uses of Electroencephalography (EEG) and Electrocardiography (EKG). Despite this, electromyography remains too difficult to implement due to the difficulty of interpreting muscle pathological states. Standard EMG is recorded from few points on a muscle, whereas EEG and EKG use a collection of points to determine the appropriate diagnosis. In this study, we designed and implemented modeling and simulation techniques to investigate the impact of varying depth on the action potential recorded from surface electrodes.
Sizemore, E. J., & Ferdjallah, M., & Salem, A. (2025, March), Modeling of Single Muscle Fiber Action Potential With Varying Depth Paper presented at 2025 ASEE North Central Section (NCS) Annual Conference, Marshall University, Huntington, West Virginia. https://peer.asee.org/54678
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