Related Experiment Video
Updated: Apr 16, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
Published on: April 18, 2025
Brain-Computer Interface Combined with Functional Electrical Stimulation for Post-Stroke Upper Limb Motor Recovery: A
Fengjiao Liang1, Xiang Chen1, Baoying Li2
1School of Rehabilitation Medicine, Ministry of Education Engineering Research Center for Intelligent Rehabilitation of Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
None:
BackgroundBrain-computer interface-driven functional electrical stimulation (BCI-FES) is a promising approach for post-stroke upper limb rehabilitation. However, considerable variability exists in stimulation parameters and task designs across studies, and evidence remains insufficient to support definitive protocol recommendations.MethodsWe searched PubMed, Embase, Web of Science, and the Cochrane Library for randomized controlled trials (RCTs) up to September 2025. Eligible studies applied BCI-FES and reported the Fugl-Meyer Assessment for the upper extremity (FMA-UE). Risk of bias was assessed with the PEDro scale, and evidence certainty graded with GRADE. Random-effects meta-analyses were performed.ResultsTwelve RCTs (n = 619) showed BCI-FES improved FMA-UE scores versus controls (MD = 5.82, 95% CI 3.04-8.59, p < 0.00001; I2 = 39%), with larger benefits in subacute stroke (MD = 8.45). Dynamic-threshold paradigms and motor imagery were associated with higher effect sizes. Higher stimulation frequency (>50 Hz), narrow-pulse width (150 µs) more frequent sessions (≥5/week), shorter session duration (≤30 min), greater total sessions (>20), and longer intervention (>4 weeks) tended to be associated with larger effect sizes, though evidence is limited and based on few studies. Secondary outcomes (ARAT, WMFT, MBI) improved, and no serious adverse events were reported. Evidence certainty was moderate.ConclusionBCI-FES was associated with improvements in upper limb motor recovery after stroke, especially in subacute patients. Some stimulation and training features may relate to greater effects, but current evidence remains insufficient for definitive clinical guidance. Larger multicenter RCTs are needed to clarify dose-response relationships and support biomarker-guided, personalized interventions.
More Related Videos
09:42Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
05:28Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
Published on: October 11, 2024