Verification concept for an electroneurogram based prosthesis control

The use of nerve signals for a prosthesis control or limb stimulation is one great challenge in medical technology. It requires a recording of the electroneurogram (ENG) data and an identification of the motion-based action potentials of motoric, feedback and sensoric nerves within the corresponding neural bundle. We have realized a prototyping system for the data acquisition of ENG data, including an identification framework, described in (Klinger and Klauke 2013). In this paper we introduce the verification concept of the identification process using synthetic datasets generated based on robot manipulator and electroneurogram simulator. The objective is to define a method to compare motion based trajectories and their corresponding ENG signals to prepare the future analysation and identification of human ENG data.

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