Desarrollo de un sistema de parametrización de la conductividad nerviosa de músculos de la zona lumbar ante una flexión o extensión, basado en electromiografía no invasiva.

Abstract

Electromyography (EMG) signals are electrical signals produced by a muscle during the contraction and relaxation process, its purpose is to know the functioning of the peripheral nervous system (muscles and nerves and nerves that innervate them), which allows determining if such functioning is adequate or not, that is, if the situation is normal or there is some pathological alteration. It consists of the graphic recording of the electrical activity of the different muscles of the body, this muscular characteristic is intended to be used to develop a system that through surface electrodes located at different points of the lumbar area and through electromyography signals, patterns can be extracted that can identify and differentiate alterations when a person is doing some physical activity or is in a state of relaxation. As it is a non-invasive technique, it facilitates the process of diagnosis and monitoring of these signals, which through programming can be parameterized, These electromyographic signals (EMG) will be captured by means of a signal acquisition device, which will go through an amplification and filtering stage and then be sent serially, through the tiva c card tm4c123gxl, which is the one that It receives the EMG signal from me and sends it to the MATLAB environment to be digitized and processed. The purpose of this project is based on the processing and classification of this EMG signal that comes from the lumbar muscle, which will be obtained by means of superficial electrodes that will be placed on the erector spinae muscle, at the height of L1 (longissimus). They will extract patterns that reveal information of interest, and then neural network techniques will be applied to classify these signals and they can be compared to establish a result.