AI-driven hybrid rehabilitation: synergizing robotics and electrical stimulation for upper-limb recovery after stroke.

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Bibliographic Details
Title: AI-driven hybrid rehabilitation: synergizing robotics and electrical stimulation for upper-limb recovery after stroke.
Authors: Ben Abdallah I; Advanced Technologies in Medicine and Signals (ATMS), Ecole Nationale d'Ingénieurs de Sfax (ENIS), University of Sfax, Sfax, Tunisia.; King Salman Center for Disability Research, Riyadh, Saudi Arabia., Bouteraa Y; Department of Computer Engineering, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.; King Salman Center for Disability Research, Riyadh, Saudi Arabia., Alotaibi A; Department of Mechanical Engineering, College of Engineering, Taif University, Taif, Saudi Arabia.; King Salman Center for Disability Research, Riyadh, Saudi Arabia.
Source: Frontiers in bioengineering and biotechnology [Front Bioeng Biotechnol] 2025 Jun 25; Vol. 13, pp. 1619247. Date of Electronic Publication: 2025 Jun 25 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101632513 Publication Model: eCollection Cited Medium: Print ISSN: 2296-4185 (Print) Linking ISSN: 22964185 NLM ISO Abbreviation: Front Bioeng Biotechnol Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2296-4185
DOI:10.3389/fbioe.2025.1619247