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Updated: Feb 28, 2026

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
Published on: May 10, 2024
Lei Cao1,2, Bin Xia1,2, Oladazimi Maysam3
1Department of Computer Science, College of Information Engineering, Shanghai Maritime UniversityShanghai, China.
This study introduces a novel motor imagery Brain Computer Interface (BCI) speller for paralyzed patients. Synchronous control proved feasible, with predictive text entry enhancing efficiency for BCI spellers.
09:42Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
Published on: September 1, 2023
11:31Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
Published on: December 5, 2014
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