Implementación de electrogoniómetros para el control de órtesis en rehabilitación de lesiones de rodilla

Abstract

This project develops an automated system to improve the rehabilitation of patients with knee injuries. IMU (Inertial Measurement Unit) sensors were used to accurately measure joint movement, enabling real-time monitoring through a graphical interface. The system operates by placing two IMU sensors on the orthosis. Based on this data, it calculates knee flexion and extension in real-time using sensor fusion algorithms. The obtained information is displayed on a graphical interface, facilitating progress tracking by therapists. Additionally, wireless communication allows for remote patient monitoring. The study results demonstrated that this automated system reduced session time by 40% compared to manual therapy. Furthermore, the margin of error was ±1°, ensuring adequate precision for therapeutic use. Additionally, 85% of patients reported a superior experience with the device compared to traditional treatments. It is recommended to incorporate artificial intelligence to optimize motion data analysis and further personalize treatments. Expanding the number of patients in future studies is also suggested to assess the system’s effectiveness in different clinical settings.