This project designs, develops and evaluates an integrated rehabilitation system for patients with post-stroke upper-limb spasticity.
The system uses surface electromyography and real-time signal processing to measure involuntary muscle activity continuously and separately for each muscle during rehabilitation, then directs localized thermal intervention to the muscles generating that activity through four independently controlled heating zones.
By replacing whole-limb heat application with muscle-level targeting driven by the patient’s own muscle activity, the project aims to make thermal therapy adaptive, patient-specific and quantifiable. It is run as a feasibility study with approximately ten participants.
Project team
Abdulrazaq Sulaiman Usman
Graduate Researcher
Soft robotic actuation for hand and wrist rehabilitation, and sEMG-guided thermal therapy.
Ibad UrRehman Jeelani
Graduate Researcher
Real-time systems and human–robot interaction for rehabilitation.
Related publications
Double-Threshold sEMG Onset Detection with Median-MAD Baseline Estimation
I. U. R. Jeelani, E. Hocaoglu & A. Kaplan
34th Signal Processing and Communications Applications Conference (SIU)