Multifunctional control of artificial upper limbs based on parameter identification of myoelectric signals

Abstract

The paper describes a system for controlling an artificial upper extremity prosthesis for above elbow amputees in several degrees of freedom. The system employs microprocessor hardware and is based on time series identification of the voluntary myoelectric signals involved and on subsequent limb-function discrimination via the above parameters. The system requires only 1 to 2 electrode sites and satisfies the various practical constraints of weight, volume, and speed as arise in practical prostheses.