Virtual reality upper limb model controlled by EMG signals

19th Argentinean Bioengineering Society Congress

Muri, Fabricio^1 ; Carbajal, Celina^1 ; Echenique, Ana M.^1 ; Fernández, Hugo^1 ; López, Natalia M.^1

Gabinete de Tecnología Médica, Facultad de Ingeniería, Universidad Nacional de San Juan, Argentina^1

关键词: Classifier training;    Design and Development;    Electromyographic signal;    Mechanical model;    Myoelectric prosthesis;    Potential users;    Rehabilitation therapy;    Software rendering;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/477/1/012041/pdf
DOI  :  10.1088/1742-6596/477/1/012041

来源: IOP

【 摘 要 】

This work presents the design and development of a six-channel system for acquisition and conditioning of electromyographic signals collected in the upper limb. The main objective of the work is to create a system that can be used as rehabilitation and training instrument for potential users of myoelectric prostheses. Using software rendering, feature extractions, classifier training and design of the mechanical model of the human arm, with the running movements of flexion, extension, pronation and supination of the forearm and the grasp in a reality environment virtual, providing rehabilitation therapy to different patients.