ABSTRACT NUMBER: ESOC2026OT7 REHABSIM: ADAPTIVE THERAPY SYSTEM BASED ON VIRTUAL REALITY AND ARTIFICIAL INTELLIGENCE FOR FUNCTIONAL REHABILITATION OF DOMINANT UPPER LIMB AFTER A CEREBROVASCULAR EVENT.

Abstract Background and aims Stroke is a leading cause of long-term disability, often resulting in motor impairments that limit autonomy. Access to continuous rehabilitation is frequently restricted by healthcare capacity, costs, and geographic barriers, especially after hospital discharge. Home-based digital rehabilitation supported by AI and VR can expand access, personalize therapy, and enable continuous monitoring, enhancing recovery and patient engagement. Methods To develop an adaptive digital platform that provides personalized home-based rehabilitation for patients with dominant upper-limb motor sequelae after stroke, optimizing functional recovery while reducing dependence on in-person care. Results The project will follow a mixed-methods framework across three phases. Phase I Development of a multi-axis hardware device, computer-vision tracking system, immersive VR environments, real-time monitoring tools, and user-friendly interfaces. Rehabilitation modules will be designed with clinical experts, and the platform will adapt exercise difficulty through AI-driven analysis. Phase II A pilot test in a controlled hospital setting to fine-tune system sensitivity and gather qualitative feedback from patients and therapists. Phase III A randomized controlled clinical trial comparing conventional therapy with the proposed platform. Eligible stroke patients will undergo baseline assessments (e.g., mRS, Fugl-Meyer). Home implementation will follow, with quantitative (motor scores, adherence) and qualitative (satisfaction, usability) data analyzed through statistical and thematic methods. Conclusions Expected outcomes include improved motor function, higher motivation and adherence, greater autonomy, reduced travel burden for patients and caregivers, and fewer in-person appointments due to remote monitoring. Conflict of interest

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Publication Details

Journal
European Stroke Journal
Published
2026-05-01
DOI
https://doi.org/10.1093/esj/aakag023.2069
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
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article

ABSTRACT NUMBER: ESOC2026OT7 REHABSIM: ADAPTIVE THERAPY SYSTEM BASED ON VIRTUAL REALITY AND ARTIFICIAL INTELLIGENCE FOR FUNCTIONAL REHABILITATION OF DOMINANT UPPER LIMB AFTER A CEREBROVASCULAR EVENT.

Gabriel Villarrubia González, B Villarrubia-González, Maria Pilar Sánchez Conde, Iria Beltrán Rodríguez et al.
European Stroke Journal
Stroke Rehabilitation and Recovery
article

ABSTRACT NUMBER: ESOC2026OT7 REHABSIM: ADAPTIVE THERAPY SYSTEM BASED ON VIRTUAL REALITY AND ARTIFICIAL INTELLIGENCE FOR FUNCTIONAL REHABILITATION OF DOMINANT UPPER LIMB AFTER A CEREBROVASCULAR EVENT.

Gabriel Villarrubia González, B Villarrubia-González, Maria Pilar Sánchez Conde, Iria Beltrán Rodríguez, Héctor Sánchez, Javier Tejada Garcia
article en

Abstract

Abstract Background and aims Stroke is a leading cause of long-term disability, often resulting in motor impairments that limit autonomy. Access to continuous rehabilitation is frequently restricted by healthcare capacity, costs, and geographic barriers, especially after hospital discharge. Home-based digital rehabilitation supported by AI and VR can expand access, personalize therapy, and enable continuous monitoring, enhancing recovery and patient engagement. Methods To develop an adaptive digital platform that provides personalized home-based rehabilitation for patients with dominant upper-limb motor sequelae after stroke, optimizing functional recovery while reducing dependence on in-person care. Results The project will follow a mixed-methods framework across three phases. Phase I Development of a multi-axis hardware device, computer-vision tracking system, immersive VR environments, real-time monitoring tools, and user-friendly interfaces. Rehabilitation modules will be designed with clinical experts, and the platform will adapt exercise difficulty through AI-driven analysis. Phase II A pilot test in a controlled hospital setting to fine-tune system sensitivity and gather qualitative feedback from patients and therapists. Phase III A randomized controlled clinical trial comparing conventional therapy with the proposed platform. Eligible stroke patients will undergo baseline assessments (e.g., mRS, Fugl-Meyer). Home implementation will follow, with quantitative (motor scores, adherence) and qualitative (satisfaction, usability) data analyzed through statistical and thematic methods. Conclusions Expected outcomes include improved motor function, higher motivation and adherence, greater autonomy, reduced travel burden for patients and caregivers, and fewer in-person appointments due to remote monitoring. Conflict of interest

European Stroke JournalVol. 11(Supplement_1)
Universidad de Salamanca (ES), Complejo Asistencial Universitario de Palencia (ES)
Openalex Percentile: Top 11%
Stroke Rehabilitation and Recovery
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