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Updated: Feb 16, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
Published on: April 18, 2025
Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke
Nikunj A Bhagat1, James French2, Anusha Venkatakrishnan3
1Dept. of Electrical & Computer Engineering, University of Houston, Houston, TX 77004 USA. (; fax: 713-743-4444; nabhagat@uh.edu.
Abstract:
Stroke can be a source of significant upper extremity dysfunction and affect the quality of life (QoL) in survivors. In this context, novel rehabilitation approaches employing robotic rehabilitation devices combined with brain-machine interfaces can greatly help in expediting functional recovery in these individuals by actively engaging the user during therapy. However, optimal training conditions and parameters for these novel therapeutic systems are still unknown. Here, we present preliminary findings demonstrating successful movement intent detection from scalp electroencephalography (EEG) during robotic rehabilitation using the MAHI Exo-II in an individual with hemiparesis following stroke. These findings have strong clinical implications for the development of closed-loop brain-machine interfaces to robotic rehabilitation systems.
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