Generalized Net Model of Surface EMG Data Processing for Control of Active Elbow Orthosis Device

Surface Electromyography (sEMG) signals have been increasingly used in many applications, including biomedical, neuroprosthetic limbs, orthotic or rehabilitation devices, human machine interactions etc. In order to use such signals for the control purposes, a certain processing algorithm has to be performed. This paper presents a novel approach for sEMG data processing with the usage of generalized nets theory. We propose an abstract model representing the sEMG data processing, which can be used in the control frameworks of active elbow orthosis devices.