Publication: Valoración automática del Índice Barthel para seguimiento de actividad física en personas mayores
Loading...
Official URL
Full text at PDC
Publication Date
2020-06
Authors
Advisors (or tutors)
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Exportar
Abstract
En este trabajo de fin de grado se aborda el desarrollo de sistema para monitorizar la actividad de las personas mayores en relación con su grado de dependencia. Una forma de hacerlo es usar el Índice de Barthel, un cuestionario de actividades que indica de forma cuantitativa el grado de dependencia de una persona y que se rellena manualmente. En este trabajo se propone hacerlo de forma automática. Para ello se ha utilizado una placa embebida BeagleBone Green, junto con un acelerómetro digital. Por lo que ha sido necesario conocer el funcionamiento de dicho sensor, así como la señal de salida a la que se le ha tenido que aplicar diferentes filtros.
El sistema se ha conectado a través del protocolo MQTT a un servidor para almacenar los datos procesados y enseñarlos en una aplicación web escrita en REACT. Esta aplicación está destinada para el uso profesional de centros de mayores (residencias, centros de día, etc.). El software se distribuye bajo licencia MIT y está disponible en https://github.com/mos-JM/TFG
In this end-of-degree work, we address the development of a system to monitor the activity of the elderly and their different degrees of dependency. One way to do this is use the Barthel Index, an activity questionnaire that quantitatively indicates the degree of dependency of a person and that is filled out manually. In this work we propose to do it automatically. For this purpose, a BeagleBone Green embedded plate has been used, together with a digital accelerometer. Therefore, it was necessary to know how this sensor works, as well as the output signal to which different filters had to be applied. The system has been connected through the MQTT protocol to a server to store the processed data and teach it in a web application written in REACT. This application is intended for the professional use of senior centers (residences, day centers, etc.). The software is distributed under the MIT license and is available in the URL https://github.com/ mos-JM/TFG.
In this end-of-degree work, we address the development of a system to monitor the activity of the elderly and their different degrees of dependency. One way to do this is use the Barthel Index, an activity questionnaire that quantitatively indicates the degree of dependency of a person and that is filled out manually. In this work we propose to do it automatically. For this purpose, a BeagleBone Green embedded plate has been used, together with a digital accelerometer. Therefore, it was necessary to know how this sensor works, as well as the output signal to which different filters had to be applied. The system has been connected through the MQTT protocol to a server to store the processed data and teach it in a web application written in REACT. This application is intended for the professional use of senior centers (residences, day centers, etc.). The software is distributed under the MIT license and is available in the URL https://github.com/ mos-JM/TFG.
Description
Trabajo de fin de Grado en Ingeniería de Computadores, Facultad de Informática UCM, Departamento de Ingeniería del Software e Inteligencia Artificial, Curso 2019/2020. El software se distribuye bajo licencia MIT y está disponible en https://github.com/mos-JM/TFG