A hybrid EMG-EEG interface for robust intention detection and fatigue-adaptive control of an elbow rehabilitation robot.

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Bibliographic Details
Title: A hybrid EMG-EEG interface for robust intention detection and fatigue-adaptive control of an elbow rehabilitation robot.
Authors: Abdallah IB; Advanced Technologies In Medicine and Signals (ATMS), ENIS, University of Sfax, Sfax, 3038, Tunisia.; King Salman Center for Disability Research, Riyadh, 11614, Saudi Arabia., Bouteraa Y; Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia. yassine.bouteraa@isbs.usf.tn.; King Salman Center for Disability Research, Riyadh, 11614, Saudi Arabia. yassine.bouteraa@isbs.usf.tn., Alotaibi A; Department of Mechanical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia.; King Salman Center for Disability Research, Riyadh, 11614, Saudi Arabia.
Source: Scientific reports [Sci Rep] 2025 Nov 19; Vol. 15 (1), pp. 40895. Date of Electronic Publication: 2025 Nov 19.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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