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Intention recognition for FES in a grasp-and-release task using volitional EMG and inertial sensors

Salchow-Hömmen, Christina; Dorn, Andreas; Valtin, Markus; Schauer, Thomas

Inst. Energie- und Automatisierungstechnik

Functional Electrical Stimulation (FES) facilitates the motor recovery of the hand function after stroke. The integration of biofeedback and other strategies to actively involve a patient in the therapy is important for the rehabilitation progress. We introduce a combined control approach for a FES-driven neuroprosthesis using volitional electromyo-graphy (vEMG) and motion capturing via a novel inertial sensor network for patients that still possess a residual activity in the paralyzed muscles. A real-time vEMG measurement and signal processing in between stimulation pulses has been realized during active FES. Experiments showed that our system allows for quick adaption to individual users.