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Homa Kashefi Amirid

University of Pittsburgh

135 N Bellefield Ave

Pittsburgh, PA 15260

United States

  • University of Pittsburgh

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Scholarly Papers (1)

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Eegnet-Based Fine-Tuning for Cognitive Load Detection Using Meg Data: A Study on Multiple Sclerosis

Number of pages: 13 Posted: 28 Feb 2025
AmirMohammad Mijani, Fahimeh Akbarian, Homa Kashefi Amirid, Guy Nagels, Jeroen Van Schependom and Liang Zhan
University of Pittsburgh, affiliation not provided to SSRN, University of Pittsburgh, UZ Brussel, affiliation not provided to SSRN and University of Pittsburgh - Department of Electrical and Computer Engineering
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Abstract:

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MEG, Multiple Sclerosis, Mental Workload Detection, Working Memory Task, EEGNet, Fine-tuning