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Updated: Feb 22, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
Published on: April 18, 2025
Feasibility of task-specific brain-machine interface training for upper-extremity paralysis in patients with chronic
Atsuko Nishimoto1, Michiyuki Kawakami, Toshiyuki Fujiwara
1Department of Rehabilitation Medicine, Keio University School of Medicine, , Japan.
Objective:
Brain-machine interface training was developed for upper-extremity rehabilitation for patients with severe hemiparesis. Its clinical application, however, has been limited because of its lack of feasibility in real-world rehabilitation settings. We developed a new compact task-specific brain-machine interface system that enables task-specific training, including reach-and-grasp tasks, and studied its clinical feasibility and effectiveness for upper-extremity motor paralysis in patients with stroke.
Design:
Prospective beforeâ€"after study.
Subjects:
Twenty-six patients with severe chronic hemiparetic stroke.
Methods:
Participants were trained with the brain-machine interface system to pick up and release pegs during 40-min sessions and 40 min of standard occupational therapy per day for 10 days. Fugl-Meyer upper-extremity motor (FMA) and Motor Activity Log-14 amount of use (MAL-AOU) scores were assessed before and after the intervention. To test its feasibility, 4 occupational therapists who operated the system for the first time assessed it with the Quebec User Evaluation of Satisfaction with assistive Technology (QUEST) 2.0.
Results:
FMA and MAL-AOU scores improved significantly after brain-machine interface training, with the effect sizes being medium and large, respectively (p<0.01, d=0.55; p<0.01, d=0.88). QUEST effectiveness and safety scores showed feasibility and satisfaction in the clinical setting.
Conclusion:
Our newly developed compact brain-machine interface system is feasible for use in real-world clinical settings.
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