A Biologically-Inspired Robust Control System for Myoelectric Control

Abstract

We review recent studies that aimed at designing an intuitive and robust myoelectric control system for transradial amputees. The methods developed assume that the forearm muscles are controlled in a synergistic manner and capture this synergistic structure hidden in the electromyographic signal patterns by factorization algorithms. We have shown that this system is capable of providing robust control over multiple degrees of freedom relying on 6 electrodes only and that it is robust to electrode shift. However, a pure factorization approach may result in some unwanted movements when the user is willing to activate only one function, which is mitigated by combining a synergistic controller with pattern recognition.