Projeto de placa de captura EMG com microcontrolador embarcado para o uso em próteses mioelétricas

Abstract

Electromyography is a technique that allows the evaluation of the electrical activity of skeletal muscles at rest and during muscle contraction. The myoelectric prosthesis uses electrical signals generated by the user’s muscles to control the movement of the prosthesis. This work aims to develop an embedded microcontroller-based electromyography signal capture board for use in myoelectric prostheses. The capture board is responsible for capturing the electrical signals generated by the patient’s muscles and sending them to the microcontroller, which in turn processes the signals and sends commands for prosthesis control. The project involves the development of an electronic circuit for electromyography signal acquisition, using operational amplifiers and instrumentation amplifiers, as well as an analog-to-digital converter integrated into the microcontroller. The microcontroller used in the project is the Atmega 328p. This work aims to enhance the control of myoelectric prostheses through the processing of electrical signals generated by the user’s muscles. The use of a microcontroller allows the implementation of algorithms for processing the captured data, and the use of two channels allows for greater control, as well as maintaining the hand extension and flexion state, resulting in more expressive prosthesis outcomes. This differentiated approach to common circuits achieves highly significant results for prosthesis control. The data transmission of the system is efficient, with no delays in communication through the serial port. The circuit enables real-time analysis of the executed movement, making it suitable for this purpose. The development of this prototype, with an embedded microcontroller, can be applied in other areas such as medical monitoring and athletic development. In addition to fulfilling other proposals, the system demonstrates good response and integration of components, from data capture to graphical display, providing expressive results and facilitating the monitoring of muscle groups