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Updated: Mar 21, 2026

Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
Jiuwei Li1, Bingyu Pan1, Tingting Jin2
1School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China.
This study developed an automatic system using motion capture to quantitatively assess upper-limb motor function in stroke survivors. The system accurately measures motor impairment, aiding in rehabilitation and clinical research.
05:28Author Spotlight: Enhancing Upper Limb Rehabilitation in Stroke Patients Through Advanced Robotic and Neuromodulation Technologies
Published on: October 11, 2024
04:49Author Spotlight: Enhancing Post-Stroke Upper Limb Rehabilitation with Robotic Technologies for Improved Motor Recovery and Functional Outcomes
Published on: September 6, 2024
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