Publication: Sistema de alarmas para afectados por el Alzhéimer
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2018
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Abstract
En este trabajo de fin de Máster se aborda el reto de mejorar la calidad de vida de las personas afectadas por Alzheimer haciendo uso las tecnologías del Internet de las Cosas. Para ello se ha aplicado la metodología “Design Thinking”, la cual es ideal para identificar necesidades, barreras y oportunidades de acción para este tipo de proyectos. Tras la aplicación de cada una de las etapas características de esta metodología, se han identificado formas de mejorar la calidad de vida atendiendo a los síntomas de pérdida de memoria y de desorientación. En particular, se definen 3 funcionalidades con las que se apoya tanto al paciente como a sus cuidadores en hasta 15 situaciones distintas. Estas funcionalidades son “generación de alarmas”, “recordatorios” y “necesidad de auxilio”. Para soportar estas funciones, se ha diseñado una arquitectura donde se integran las tecnologías 6LowPan, BLE, JMS, MQTT y Complex Event Processing (con el programa ESPER). La arquitectura se ha desplegado en un entorno IoT como prueba de concepto que cubre un escenario representativo de las situaciones identificadas. La prueba de concepto abarca 7 tipos de sensores y 4 plataformas distintas. Para un trabajo futuro, se describen en la memoria posibles mejoras y posibles nuevas funcionalidades que aún no se han podido implementar pero para las cuales el sistema expuesto proporciona las herramientas necesarias. Así se demuestra la potencia del IoT para adaptar el entorno de personas con limitaciones cognitivas causadas por síntomas de pérdida de memoria o desorientación. Este proyecto ha sido posible gracias al apoyo del proyecto ColoSAAL (TIN2014-57028-R) y "Diseño Colaborativo para la Promoción del Bienestar en Ciudades Inteligentes Inclusivas" (TIN2017-88327-R) financiado por el Ministerio de Economía y Competitividad del Gobierno de España.
This Master's thesis has addressed how to improve the quality of life of people having Alzheimer by making use of Internet of Things technology. The methodology "Design Thinking" has been applied because its focus on the users. It has made easier to identify needs, barriers and opportunities. After the application of each of the stages of this methodology, several ways to improve the quality of the daily living have been identified focusing on the memory loss and disorientation symptoms. Up to 3 functionalities to support 15 different situations have been identified. These functionalities are “alarm triggering”, “reminders”, and “call for help”. To provide this functionality, an architecture has been designed that integrates 6LowPAN, BLE, JMS, MQTT, and ESPER. The architecture has been deployed in an IoT environment. As a proof of concept, a representative scenario from the 15 situations have been selected. The proof uses up to 7 sensors and 4 different platforms. The future work has identified possible improvements that could not be addressed in this work. This shows the potential of IoT to adapt the environment of people with cognitive impairment caused by memory loss or disorientation. This project has been supported by the following projects: ColosAAL (TIN2014-57028-R) and `Collaborative Design for the Promotion of Well-Being in Inclusive Smart Cities'' (TIN2017- 88327-R) funded by Spanish Ministry for Economy and Competitiveness.
This Master's thesis has addressed how to improve the quality of life of people having Alzheimer by making use of Internet of Things technology. The methodology "Design Thinking" has been applied because its focus on the users. It has made easier to identify needs, barriers and opportunities. After the application of each of the stages of this methodology, several ways to improve the quality of the daily living have been identified focusing on the memory loss and disorientation symptoms. Up to 3 functionalities to support 15 different situations have been identified. These functionalities are “alarm triggering”, “reminders”, and “call for help”. To provide this functionality, an architecture has been designed that integrates 6LowPAN, BLE, JMS, MQTT, and ESPER. The architecture has been deployed in an IoT environment. As a proof of concept, a representative scenario from the 15 situations have been selected. The proof uses up to 7 sensors and 4 different platforms. The future work has identified possible improvements that could not be addressed in this work. This shows the potential of IoT to adapt the environment of people with cognitive impairment caused by memory loss or disorientation. This project has been supported by the following projects: ColosAAL (TIN2014-57028-R) and `Collaborative Design for the Promotion of Well-Being in Inclusive Smart Cities'' (TIN2017- 88327-R) funded by Spanish Ministry for Economy and Competitiveness.