Decoder design and performance comparison of closed-loop brain machine interface

Abstract

In this paper, the spontaneous motion of the single joint is studied on the basis of the cortical neuron firing activity model, and the working principle of the closed-loop brain machine interface is analyzed from the perspective of control theory. The Kalman filter and artificial neural network are used to design system decoder to replace the spinal cord current in original system. According to the result, the performance of decoder design based on neural network is better than that based on Kalman filter.