Improving personalized elderly care: an approach using cognitive agents to better assist elderly people

Tesis por compendio de publicaciones[ES]El envejecimiento de la población a nivel global es una constante cada vez más presente en el día a día y las consecuencias derivadas de este problema son cada vez más impactantes para el correcto funcionamiento y estructuración de la sociedad. En este contexto, hablamos de consecuencias a nivel de crecimiento económico, estilos de vida (y jubilación), relaciones familiares, recursos disponibles por el gobierno a la franja etaria más anciana e inevitablemente la prevalencia de enfermedades crónicas. Es ante esta realidad que surge la necesidad de desarrollo y promoción de estrategias eficaces en el acompañamiento, prevención y estímulo al envejecimiento activo y saludable de la población para garantizar que las personas ancianas continúen teniendo un papel relevante en la sociedad en lugar de someterse al aislamiento y fácil deterioro de las capacidades físicas, cognitivas, emocionales y sociales. De esta forma, tiene todo el sentido aprovechar todos los desarrollos tecnológicos verificados en los últimos años, principalmente en lo que se refiere a avances en las áreas de dispositivos móviles, inteligencia artificial y sistemas de monitoreo y crear soluciones capaces de brindar apoyo diariamente al recopilar datos e indicadores del estado de salud y, en respuesta, proporcionar diversas acciones personalizadas que motiven la adopción de mejores hábitos de salud y medios para lograr este envejecimiento activo y saludable. El desafío consiste en motivar a esta población a conciliar su día a día con el interés y la voluntad de utilizar aplicaciones y sistemas que brinden este apoyo personalizado. Algunas de las abordajes recientemente explorados en la literatura con este objetivo y que han alcanzado resultados prometedores se basan en la utilización de técnicas de gamificación e incentivo al cumplimiento de desafíos a nivel de salud (como si la persona estuviera jugando un juego) y la utilización de interacciones personalizadas con objetos (ya sean físicos como robots o virtuales como avatares) capaces de brindar feedback más personal, creando así una conexión más cercana entre ambas entidades. El trabajo aquí presentado combina estas ideas y resulta en un enfoque inteligente para la promoción del bienestar de la población anciana a través de un sistema de cuidados de salud personalizado. Este sistema incorpora diversas técnicas de gamificación para la promoción de mejores hábitos y comportamientos, y la utilización de un asistente virtual cognitivo capaz de entender las necesidades e intereses del usuario para posibilitar un feedback e interacción personalizados con el fin de ayudar y motivar al cumplimiento de los diferentes desafíos y objetivos que se identifiquen. El enfoque propuesto fue validado a través de un estudio con 12 usuarios ancianos y se lograron resultados significativos en términos de usabilidad, aceptación y efectos de salud. Específicamente, los resultados obtenidos permiten respaldar la importancia y el efecto positivo de combinar técnicas de gamificación e interacción con un asistente virtual cognitivo que traduzca el progreso del estado de salud del usuario, ya que se lograron mejoras significativas en los resultados de salud después de la intervención. Además, los resultados de usabilidad obtenidos mediante la cumplimentación de un cuestionario de usabilidad confirmaron la buena adhesión a el enfoque presentado. Estos resultados validan la hipótesis de la investigación estudiada en el desarrollo de esta disertación

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems

Proceedings of Designing Self-care for Everyday Life. Workshop in conjunction with NordiCHI 2014, 27th October.

Managing chronic conditions can be challenging. People in such conditions, and the people around them, have to, for example: deal with symptoms, adapt to the resulting disability, manage emotions, and change habits to keep the condition under control. Self-care technologies have the potential to support self-care, however they often disregard the complexity of the settings in which they are used and fail to become integrated in everyday life.The present collection of papers forms the Proceedings of the Workshop “Designing Selfcare for Everyday Life” conducted last October 27th, 2014 in Helsinki, where 14 participants from 7 different countries spent the day discussing how to design self-care technologies that are in harmony with people’s everyday life. During the morning, discussions were driven by poster presentations focused on the participants’ work. In the afternoon, we engaged in aparticipatory design exercise focused on the self-care of Parkinson’s disease. Our discussions were driven by the experience of two people living with Parkinson’s that participated in our workshop. At the end of the exercise, each group presented the different insights, concepts and problems that each patient experiences in their everyday life with the disease. Last, we all engaged in a broader discussion with a mapping exercise of issues and challenges in relation to self-care.The contributions featured in the proceedings have been peer-reviewed by the members of the Workshop Program Committee and selected on the basis of their quality, alignment with the workshop theme, and the extent (and diversity) of their backgrounds in design. They express points of view of researchers from both Academia and Industry and provide relevant insights in the design and development use of technologies for self-care.We want to thank all the participants and co-authors for contributing to the Workshop. We are particularly grateful to the two patients, members of the Finnish Parkinson’s Association, who accepted to participate in the workshop and enabled researchers to get aperspective on the challenges of their lives. We also want to thank all the Programme Committee members for all their work during the reviewing process as well as the organisers of NordiCHI 2014 for providing useful facilities

A conceptual approach to enhance the well-being of elderly people

The number of elderly people living alone is increasing. Consequently, a lot of research works have been addressing this issue in order to propose solutions that can enhance the quality of life of elderly people. Most of them have been concerned in dealing with objective issues such as forgetfulness or detecting falls. In this paper, we propose a conceptual approach of a system that intends to enhance the daily sense of user’s well-being. For that, our proposal consists in a system that works as a social network and a smartwatch application that works unobtrusively and collects the user’s physiological data. In addition, we debate how important features such as to detect user’s affective states and to potentiate user’s memory could be implemented. Our study shows that there are still some important limitations which affect the success of applications built in the context of elderly care and which are mostly related with accuracy and usability of this kind of system. However, we believe that with our approach we will be able to address some of those limitations and define a system that can enhance the well-being of elderly people and improve their cognitive capabilities.The work presented in this paper has been developed under the EUREKA - ITEA3 Project PHE (PHE-16040), and by National Funds through FCT (Fundação para a Ciência e a Tecnologia) under the projects UID/EEA/00760/2019 and UID/CEC/00319/2019 and by NORTE-01-0247-FEDER-033275 (AIRDOC - “Aplicação móvel Inteligente para suporte individualizado e monitorização da função e sons Respiratórios de Doentes Obstrutivos Crónicos ”) by NORTE 2020 (Programa Operacional Regional do Norte)

Development of an application for diagnosis, monitoring and rehabilitation of neurodegenerative diseases

The progress of healthcare over the last years led to an aging of the world population, increasing the prevalence of age-related diseases in the society, mainly neurodegenerative diseases. These pathologies currently affect more than 30 million people worldwide, and there is currently no cure for them. The high costs experienced by patients and their families are largely due to the individual monitoring performed by technicians. New technologies are providing alternatives for monitoring, diagnosis and rehabilitation of individuals with these diseases. This project includes the development of a web application which allows patients with neurodegenerative diseases to be monitored with less invasion and costs, enabling greater adherence. The application follows several examples from the literature for the construction of games, includes diagnostic assessments used in the medical field and promotes its use through gamification techniques. The construction of the web server used the Python language and the Flask framework because of the availability of useful modules, large supporting community and scalability. The software was specially designed for people with Parkinson’s disease, featuring a simple navigation between menus and an easy-to-use interface. The web application was named "Mentalist". The development of the application was followed by professional neurologists and the results obtained were guided by clinicians’ practice. According to these experts, the developed functionalities cover the most important aspects of diagnosis, monitoring and rehabilitation, making it a tool of high importance and applicability in daily clinical practiceA melhoria das condições de vida e dos cuidados de saúde nos últimos anos tem originado um envelhecimento da população mundial, aumentando a prevalência de doenças relacionadas com a idade. Neste grupo de doenças destacam-se as doenças neurodegenerativas, que afetam mais de 30 milhões de pessoas e não têm, atualmente, cura. Os elevados custos experienciados pelos pacientes e pelas suas famílias devem-se, em grande parte, ao acompanhamento individual realizado por técnicos. Novas tecnologias têm possibilitado alternativas para o acompanhamento, diagnóstico e reabilitação de indivíduos com estas doenças. Este projeto inclui o desenvolvimento de uma aplicação web que permite a monitorização de pacientes com menos invasão e custos, proporcionando uma maior adesão. A aplicação segue exemplos da literatura para a construção dos jogos, inclui questionários de diagnóstico utilizados no ramo médico e promove a sua utilização através de técnicas de gamificação. Foi utilizada a linguagem Python e o framework Flask para a construção do servidor devido à existência de módulos úteis, grande comunidade de desenvolvedores e escalabilidade. O software foi desenvolvido especialmente para pacientes com a doença de Parkinson, apresentando uma navegação simples entre menus e uma interface fácil de usar. A aplicação web foi denominada "Mentalist". O desenvolvimento da aplicação foi seguido por neurologistas profissionais e os resultados obtidos foram guiados pela experiência dos clínicos. De acordo com estes especialistas, as funcionalidades desenvolvidas contemplam os principais aspetos relativos ao diagnóstico, monitorização e reabilitação, tornando-a num instrumento de grande importância e aplicabilidade na prática clínica diári

Cognitive assisted living ambient system: a survey

The demographic change towards an aging population is creating a significant impact and introducing drastic challenges to our society. We therefore need to find ways to assist older people to stay independently and prevent social isolation of these population. Information and Communication Technologies (ICT) provide various solutions to help older adults to improve their quality of life, stay healthier, and live independently for a time. Ambient Assisted Living (AAL) is a field to investigate innovative technologies to provide assistance as well as healthcare and rehabilitation to impaired seniors. The paper provides a review of research background and technologies of AAL