ELECTRONIC VISUAL AND AUDITORY TRAINING SYSTEM FOR THE LONG MUSCLES OF THE UPPER EXTREMITIES OF THE HUMAN BODY, CAPTURING SUPERFICIAL MUSCLE BIOPOTENTIALS WITH DRY ELECTRODES

Abstract

This paper presents the development of an electronic training system for the long muscles of the human upper limbs, designed to facilitate the adaptation and control of electronic prostheses based on the detection of muscle movements using electromyography. This system measures the biopotentials of the long muscles in the upper limbs, displaying this biopotential visually and audibly via LED indicators and providing auditory feedback. This feedback will be used to train and strengthen these muscles, which will later be used to control hand prostheses. The method used for measuring Electromyographic (EMG) biopotentials is based on the use of non-invasive dry silver electrodes. The EMG signal conditioning is performed with an analog card developed with operational amplifiers and previously published in 2023, called “Signal Conditioning for Long Myographic Surface Biopotentials with Dry Surface Electrodes”. The signal delivered by this signal conditioning card is captured by the 12-bit ADC converter of the STM32F103C8 microcontroller. Once the signal is digitized by an algorithm, the baseline voltage is sought to illuminate 12 LEDs that indicate the intensity of the muscle signal with a resolution of 50 or 25 mV. To achieve better results in muscle training, in addition to visually displaying the intensity of the muscle signal, a sound tone is generated with audible frequencies between 8 and 9 kHz, which depends on the intensity of the signal captured from the muscles. This provides auditory feedback to the user, improving the experience, the neural connection with the exercise, and the electronic muscle training system.