Neural Oscillator based Conrtol for Wrist Tremor Attenuation

This paper explores the possibility of adopting neural oscillator for pathological tremor attenuation. Targeting on a specific case, we aim to suppress the tremor of the wrist joint via functional electrical stimulation (FES). A biological inspired neural oscillator is constructed that aims to generate the anti-tremor rhythmic stimulation patterns that will stimulate a pair of antagonist muscles of wrist. Surface EMG is used to entrain the neural oscillator and shape the output amplitude adaptively. The neural oscillator serves as an adaptive feedforward controller. Simulation is performed on a concrete musculoskeletal model of wrist and the results are satisfactory.