Desarrollo de un dispositivo electrónico portable para la telerehabilitación de articulaciones mayores y de un modelo de machine learning para predecir el tiempo de recuperación de los arcos de movilidad.

Abstract

Telerehabilitation when applied to Physical Therapy is a technological tool that allows patients to complete their recovery with an exercise routine at home. Patients who have suffered a major joint traumatism, or those who underwent orthopaedic surgery, require as a fundamental component of their treatment and recovery a proper Joint Rehabilitation. It involves exercises and movements developed by the patient on a Physical Therapy Center guided by a specialist. This Project proposes the development of a portable electronic device that works as a medical assistant for Major Joint Telerehabilitation and a Machine Learning model to predict recovery time for range of mobility based on the data obtained of the performed programmed exercises. To allow the Physical Therapists to monitor their patients, a web app was developed over a computing instance EC2 of AWS and a server LAMP. To develop the electronic device a micro controller Lolin Wemos mini was used, the electronic sensor IMU MPU6050 monitors the mobility range, the MP3 DFplayer guides the patients during their physical therapy session, and the module TP4056 controls the electric charge of the battery. Developing the prediction model, a multiple lineal regression algorithm was used, with a cross value method for testing. The results show that the project is functional, as it controls and monitors the programmed exercises. The project was accepted and appreciated among Physical Therapists as well as patients who interacted with it. The electronic device was tested and 90% of its users agree that it is functional and accomplishes control in monitoring exercises. The Web site of the device received 100% of acceptance among Physical Therapists. An R2 of 0.86 was obtained from the multiple regression model for predicting the total number of sessions the patient must perform to achieve a complete motion range.