FES artifact suppression for real-time tremor compensation

This paper will present an algorithm for reducing functional electrical stimulation (FES) artifact in surface electromyography (sEMG) reading, implemented iteratively in a real time data acquisition system. The intended application is real time attenuation of pathological tremor in upper limb. The data acquisition card receives inputs from sEMG and accelerometer. The processed information is fed into FES system which stimulates the corresponding muscle to counteract the tremor. The algorithms proposed here are geared towards simplicity, as the system is targeted for testing the feasibility of real time pathological tremor compensation.