ABSTRACT
By detection and analysis of neuro-information from amputee in experiments, a research on the correlations of three main nerves (median nerve, radial nerve and ulnar nerve), on the patterns for discharging information, and on the mechanics about how neuro-information dominates movements was performed. These researches would contribute to the development of neuroprosthesis.
Subject(s)
Adult , Humans , Male , Amputation, Surgical , Amputees , Arm , Artificial Limbs , Median Nerve , Physiology , Microelectrodes , Movement , Physiology , Radial Nerve , Physiology , Ulnar Nerve , PhysiologyABSTRACT
Proper signal sources for prosthetic limb control are the premises in designing upper extremities with high effectiveness and multi-degree of freedom(DOF). With an overview of input sources adopted in prosthetic design, this paper reviews comprehensively on characters of signals available for arm control.
Subject(s)
Humans , Artificial Limbs , Biomedical Engineering , Electronics, Medical , Electrophysiology , Prosthesis Design , MethodsABSTRACT
OBJECTIVE: To treat the loss of part of the forearm with a multi-dimension-freedom electronic artificial hand, which is controlled by a reconstructed finger transplanted from the second toe to the forearm stump. METHODS: The female patient was 19 years old, whose right hand and wrist were crushed into pieces by machine at work and her forearm was amputated at the level of 8 cm proximal to the wrist. The second toe of her left foot was transplanted to reconstruct the digit onto the stump of her forearm. Two months after the transplantation, the patient was transferred to the rehabilitation center for further rehabilitation training, which consisted of: training for adaptation to weight bearing, testing and training of sensibility to weight. testing and training for stability of the hand, and testing and training for the controlling function of the reconstructed digit. RESULTS: The transplanted toe survived well. After rehabilitation the reconstructed digit functioned well. In testing the performance under control mandate, the accuracy rate of the electronic artificial hand was 100%. CONCLUSIONS: A 100% accuracy rate of the electronic artificial hand can be achieved by transplantation of the toe onto the stump of the forearm. It provides a useful pathway and an example for improvement of control accuracy of a multiple-freedom electronic artificial hand and reduction of false action.