Artromotor de asistencia en la rehabilitación de la rodilla con el uso de señales mioeléctricas
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RevActaNova.
Abstract
Resumen: Las lesiones en la rodilla son muy comunes y se caracterizan por ser altamente incapacitantes, ya que afectan significativamente la capacidad para caminar. En Bolivia, la mayor parte de los centros de rehabilitación no cuentan con equipos tecnológicos dirigidos a esta lesión. Esta investigación presenta el desarrollo de un artromotor que tiene como objetivo la asistencia automatizada para el fisioterapeuta durante la rehabilitación de la rodilla haciendo uso de señales electromiográficas (EMG) que detectan la actividad muscular. El desarrollo contempló un análisis de los requerimientos del sistema, el diseño de la estructura mecánica, la selección de componentes electrónicos adecuados y la implementación de un sistema de control basado en Python, donde además se filtraron las señales EMG utilizando el filtro de Savitzky-Golay. Para validar el sistema se realizaron pruebas con pacientes de distintos tamaños y pesos, donde el artromotor demostró una precisión angular de 0,001° que es mucho mayor a del proceso manual del fisioterapeuta, además permite ajustar la velocidad según sea necesario. El sistema automatiza la tarea del fisioterapeuta y permite el monitoreo de la amplitud articular y la actividad muscular, además posibilita el registro de los pacientes y los datos de cada sesión en una base de datos.
Abstract: Knee injuries are very common and are characterized by being highly disabling, as they significantly affect the ability to walk. In Bolivia, most rehabilitation centers do not have technological equipment aimed at this injury. This research presents the development of an arthromotor that aims to provide automated assistance to the physiotherapist during knee rehabilitation using electromyographic (EMG) signals that detect muscle activity. The development contemplated an analysis of the system requirements, the design of the mechanical structure, the selection of suitable electronic components and the implementation of a Python-based control system, where the EMG signals were also filtered using the Savitzky-Golay filter. To validate the system, tests were performed with patients of different sizes and weights, where the arthromotor demonstrated an angular accuracy of 0.001° which is much higher than the manual process of the physiotherapist and allows adjusting the speed as needed. The system automates the task of the physiotherapist and allows the monitoring of joint amplitude and muscle activity, as well as the registration of patients and data from each session in a database.
Abstract: Knee injuries are very common and are characterized by being highly disabling, as they significantly affect the ability to walk. In Bolivia, most rehabilitation centers do not have technological equipment aimed at this injury. This research presents the development of an arthromotor that aims to provide automated assistance to the physiotherapist during knee rehabilitation using electromyographic (EMG) signals that detect muscle activity. The development contemplated an analysis of the system requirements, the design of the mechanical structure, the selection of suitable electronic components and the implementation of a Python-based control system, where the EMG signals were also filtered using the Savitzky-Golay filter. To validate the system, tests were performed with patients of different sizes and weights, where the arthromotor demonstrated an angular accuracy of 0.001° which is much higher than the manual process of the physiotherapist and allows adjusting the speed as needed. The system automates the task of the physiotherapist and allows the monitoring of joint amplitude and muscle activity, as well as the registration of patients and data from each session in a database.
Description
Vol. 11, No. 3