Brain-Computer Interface to Exoskeleton System Design for Personalized Upper-Limb Rehabilitation after Stroke

Project: FDCRGP

Project Details

Grant Program

Faculty Development Competitive Research Grant Program 2021-2023

Project Description

This project aims to accelerate the efficacy and use of robotic rehabilitation by building and cross-validating a new neural interface – the robotic framework for upper-limb rehabilitation after stroke capitalizing on the benefit of a real-time mental state decoding to control a wrist rehabilitation robot in real-time with high accuracy. The successful outcome of the research is expected: 1) to facilitate motor recovery from incomplete upper-limb paralysis; 2) to provide a more in-depth understanding of cortical reorganization in the brain associated with the recovery; and 3) contribute to health innovations for stroke rehabilitation in Kazakhstan. A pilot clinical validation will be administered to determine the feasibility and the potential benefit of the proposed technology in collaboration with medical doctors in Nur-Sultan, Kazakhstan.
Effective start/end date1/1/2112/31/23


  • Brain-Computer Interfaces
  • Stroke rehabilitation
  • Robotics rehabilitation
  • EEG
  • Neural-Interfaces
  • Machine learning


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