Sistema Iot de electroestimulación para el monitoreo y rehabilitación muscular de extremidades inferiores en deportistas amateur para la Clínica Depormed

Abstract

Muscle injuries present in amateur athletes have been a constant problem in society, due to a disorganized diet and inadequate training. Physiotherapists perform treatments for the recovery of these injuries and one of them is electrostimulation. For this project we implemented 2 stages that are developed in open-source code. The electromyograph uses an ESP32 microcontroller and the EMG AD8232 sensor that monitors the electrical signals coming from the muscles, the electrostimulator controls the time and frequency of the electrical pulses for rehabilitation. This information is sent to an Ubuntu Server in the Microsoft Azure cloud, which has a database to store this information and a web interface to visualize it. Taking into account the criteria of monitoring and rehabilitation applied to muscle injuries, as results, system operation tests were carried out with patients with mild muscle injuries, initial monitoring was performed and an average of 0.98 V was obtained and based on that, rehabilitation was carried out with a duration of approximately 12 sessions in an average of 10 minutes at an estimated frequency of 40 Hz, at the end of the last rehabilitation session the final monitoring was performed which indicated an improvement in the activity of the muscle with an average of 3.33 V. These results validate the efficiency of the system for the rehabilitation of muscle injuries present in amateur athletes of the DEPORMED Clinic. Keywords: