Real-Time AI Biofeedback for Neuro-Rehabilitation
Developing an edge-computed, closed-loop wearable platform designed to detect and suppress post-stroke muscle spasticity in real time. Using an ESP32-S3 microcontroller, dual-channel sEMG, and a 6-axis IMU, the embedded system captures micro-velocity stretch signals and muscle activation patterns to trigger sub-100ms haptic cues. By integrating real-time TinyML inferencing with physiological feedback loops (reciprocal inhibition), the platform guides users to disrupt involuntary motor lockups and promote neuroplastic recovery.