Artificial neural net based controller using interfaces to the peripheral nervous system

Two artificial neural net (ANN) based controllers using interfaces to the peripheral nervous system are presented. The aim of the paper is to show the ANNs' capability to interact with the biological nervous system for control purposes. First, we present a system for controlling a limb prostheses by means of biological nerve signals. Recordings of nerve signals done by regeneration type neurosensors interfacing the peripheral nerve system are processed by ANNs in order to control a commercial available hand prostheses. The second system presented is the inverse of the presented controller above. In this case, the aim of the controller is the restoration of lost hand function for disabled persons Here, the ANN is the kernel of a closed loop control calculating stimulation patterns for the peripheral nerve system in order to evoke hand movements related to the patient's intent.