Graphs Constructed from Instantaneous Amplitude and Phase of Electroencephalogram Successfully Differentiate Motor Imagery Tasks
Experimental results reflect that brain functional connectivity graphs derived using the instantaneous amplitude and phase of the EEG signals show comparable performance with the best results reported on these data in the literature, indicating the efficiency of the proposed method compared to the state-of-the-art methods.
Authors
- Hamid Behjat (ORCID: https://orcid.org/0000-0001-6729-6801)
- Dimitri Van De Ville (ORCID: https://orcid.org/0000-0002-2879-3861)
- Hamid Saeedi‐Sourck (ORCID: https://orcid.org/0000-0002-8363-5030)
- Maliheh Miri (ORCID: https://orcid.org/0000-0002-2278-362X)
- Vahid Abootalebi (ORCID: https://orcid.org/0000-0003-3163-6653)
Institutions
- Yazd University (IR)
- University of Geneva (CH)
- Lund University (SE)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- Journal of Medical Signals & Sensors
- Published
- 2025-03-01
- DOI
- https://doi.org/10.4103/jmss.jmss_63_24
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00