Desenvolvimento de um sistema eletromiográfico sem fio
Electromyography (EMG) is an important area of studies in human physiology and health, encompassing the electrical current generated throughout the human body, from the cell membrane to muscle groups. A given electrical current is triggered in excitable membranes of muscle cells, which generates an...
| Autor principal: | Razera, Bruno Maiolli |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2021
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/26707 |
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| Resumo: |
Electromyography (EMG) is an important area of studies in human physiology and health, encompassing the electrical current generated throughout the human body, from the cell membrane to muscle groups. A given electrical current is triggered in excitable membranes of muscle cells, which generates an action potential. A potential set, derived from cells that the same motor unit, results in a muscle contraction. The electromyograph is a device whose function is to capture the electrical potential of a muscle group, allowing monitoring, study and analysis of that group. Most current equipment has wires that are interconnected to the human body, hindering movement and still being a source of artifacts that generate noise that interferes with the EMG signal. Thus, the development of an electromyography system capable of performing the wireless acquisition, transmission and reception of electrical stimuli, transmitting them in a human-machine interaction interface, making it interesting and possibly viable for the current market. For the construction of the system, an electromyographic sensor was developed with an instrumentation amplifier, active filters, signal conditioning circuit and an ESP12F microcontroller, responsible for Wi-Fi acquisition and transmission through the signal’s UDP protocol. A graphical interface was developed in Python, using the resources PyQT5 and PyQTGraph, which presents the data that were collected and transmitted via UDP protocol by the sensor in a graph, allowing to monitor in real time the muscular impulses and with the option of storing the collected data. The system proves to be functional, from acquisition to data storage. Such proposal is promising for studies in the area, mainly as equipment for physiotherapy, sports training and biofeedbacks. |
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