Publication: Sistema para la supervisión remota de actividad física de pacientes mediante pulseras de sensores
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2018
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Abstract
Este proyecto tiene como finalidad el desarrollo de un sistema para la supervision remota de actividad física de pacientes de Parkinson.El sistema ha sido diseñado teniendo como objetivo ser lo menos intrusivo posible para el paciente para favorecer la comodidad de uso. El sistema está formado por cuatro elementos:
Pulsera con sensores.
Aplicación Android.
Aplicación web de monitorización remota.
Servidor con servicios API REST y HTTP.
Para llevar a cabo la supervision del paciente nuestro sistema recoge datos sobre cómo éste realiza ciertas actividades, ya sean actividades cotidianas o alguna rutina de actividades marcada por un médico. Nuestro sistema soporta dos tipos de sensores ambos con conectividad BLE (Bluetooth de bajo consumo). De todos los servicios qué ofrecen estos sensores nos hemos centrado en el acelerómetro y en el giroscopio ya que son los dos servicios que más información aportan sobre cómo realiza los movimientos el paciente y sobre cómo le afecta la enfermedad del Parkinson.
Para gestionar las pulseras y los datos generados por éstas hemos desarrollado una Aplicacion Android. La aplicación almacena de forma local todos los datos generados por las pulseras mientras que se está grabando la realizacion de alguna actividad. Una vez los datos han sido grabados, la aplicación permite enviarlos a un servidor remoto haciendo uso de llamadas a un API REST. Además, la aplicación permite añadir recordatorios sobre tomas de medicamentos, que pueden resultar de gran ayuda al paciente, y permite grabar los minutos posteriores a la toma de la medicación para ver cómo afecta ésta a los pacientes.
Una vez los datos han sido enviados al servidor, la aplicacion web de monitorización remota puede acceder a éstos haciendo uso del API REST mencionado antes. Está aplicacion web permite al médico supervisar de forma remota los avances del paciente mostrando los datos de una forma gráfica y amigable.
Todos los servicios incluidos en el servidor, el API REST, la base de datos MongoDB y el servidor HTTP son desplegados en forma de contenedores usando la herramienta opensource Docker.
The aim of this project is to develop a system for remote supervision about physical activities of Parkinson’s patients. The system has been developed trying to be not too much intrusive for the patient, so its use is more confortable. The system has four principal components: Sensors bracelet. Android application. Remote monitoring application web. Server with REST API and HTTP. In order to supervise the patient, our system records data about how the patient performs certains activities. They can be daily activities or some routine table advised by a doctor. The system supports two sensors types, both are BLE (Bluetooth Low Energy) We have focused in acelerometer and gyroscope, which are the ones that give us more information about how the patient performs each movement. To manage the bracelets and the data generated by them, we have developed an Android application. The application stores the data locally while some activity is being recording, when the data have been recorded, the data can be sent to a remote server using a REST API. The application also allows the user to add reminders for each medicine, which can be really useful for the patient, Moreover minutes after taking the medicine can be recorded with the sensors, so the doctor can see how medicine affects to the patient. The web application can access to stored data using the REST API mentioned before. This application allows doctor to supervise the patient remotly. It shows the data in simple and friendly graphics. All the infrastructure including the server, the REST API, the MongoDB and the HTTP server are deployed in containers using the open source project Docker.
The aim of this project is to develop a system for remote supervision about physical activities of Parkinson’s patients. The system has been developed trying to be not too much intrusive for the patient, so its use is more confortable. The system has four principal components: Sensors bracelet. Android application. Remote monitoring application web. Server with REST API and HTTP. In order to supervise the patient, our system records data about how the patient performs certains activities. They can be daily activities or some routine table advised by a doctor. The system supports two sensors types, both are BLE (Bluetooth Low Energy) We have focused in acelerometer and gyroscope, which are the ones that give us more information about how the patient performs each movement. To manage the bracelets and the data generated by them, we have developed an Android application. The application stores the data locally while some activity is being recording, when the data have been recorded, the data can be sent to a remote server using a REST API. The application also allows the user to add reminders for each medicine, which can be really useful for the patient, Moreover minutes after taking the medicine can be recorded with the sensors, so the doctor can see how medicine affects to the patient. The web application can access to stored data using the REST API mentioned before. This application allows doctor to supervise the patient remotly. It shows the data in simple and friendly graphics. All the infrastructure including the server, the REST API, the MongoDB and the HTTP server are deployed in containers using the open source project Docker.
Description
Universidad Complutense, Facultad de Informática, curso 2017/2018