Context-aware-based Location Recommendation for Elderly Care

As adults age, the body declines. Living independently at home can be a significant challenge for the elderly, particularly for those who suffer from dementia or who have memory impairment. Assisting the elderly to live independently and safely in their own homes by providing appropriate services for them and ensuring that caregivers are immediately alerted in the event of an emergency is crucial. Utilizing context in the recommendation process will make recommendations more appropriate. A model of a context-aware-based location recommender system that can seamlessly monitor the location of the elderly and deliver appropriate location recommendations by considering context is proposed as our contribution. Two scenarios are investigated: (1) we classify location as follows: bedroom (class 1), dining room (class 2), and living room (class 3); (2) we classify location as follows: inside (class 1) and outside (class 2) the bedroom. We evaluate our proposed model using a distance measure concept by employing the cosine distance method. We compare the cosine distance method with fuzzy inference system (FIS) rules on labeled data. The results of the experiments for the first scenario show that the cosine distance has better average accuracy than the fuzzy inference system. For the second scenario, fuzzy c-means (FCM) has the same average accuracy as cosine distance. FCM has slightly better accuracy in class 1 compared to cosine distance (1% difference in accuracy), whereas cosine distance has slightly better accuracy in class 2 compared to the FCM (1% difference in accuracy). In general, we can draw the conclusion that, on this dataset, cosine distance which uses a simple algorithm produced better results than the fuzzy inference system which uses a more complex algorithm.

Enhanced Living Environments

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area

Soluciones TIC para envejecimiento activo y saludable en el hogar, en el puesto de trabajo y en la sociedad

[SPA] Esta tesis doctoral se presenta bajo la modalidad de compendio de publicaciones.La presente tesis doctoral compendia las publicaciones resultado de varios años de trabajo en el marco de tres líneas de investigación relacionadas con envejecimiento activo y soluciones e-health y Ambient Assisted Living para la población de edad más avanzada: Mobiliario inteligente y espacios inteligentes, envejecimiento activo y saludable, y soluciones de las Tecnologías de la Información y las Comunicaciones (TIC) enfocadas al cuidado de la salud en general y a las personas mayores en particular. Dichos trabajos muestran los resultados de un análisis del estado del arte, patentes y otros, para poder establecer una definición precisa del concepto de Mobiliario Inteligente con el objetivo de destacar sus propiedades en cuanto a funcionalidad y al elemento digital activo y conectado. Además, es necesario destacar que el mobiliario inteligente debe ser considerado como un ente integrado en el concepto de ciudades inteligentes o calidad de vida. Por ello la investigación del estado del arte se centra en envejecimiento de la población activa, tendencias recientes, direcciones futuras y envejecimiento en el trabajo. El objetivo es poder extraer conclusiones en cuanto a los principales problemas de motivación y proponer respuestas eficaces que apoyen el envejecimiento en el trabajo y soluciones e-health que permita a la población senior vivir de manera independiente durante más tiempo a través, tanto de una arquitectura IoT de bajo rango para ayudar a abordar los retos de despliegue de servicios e-health en áreas rurales, como de un sistema de teleasistencia basado en el cuidado proactivo, el envejecimiento activo, la prevención y las necesidades de los usuarios y sus entornos. [ENG] This doctoral dissertation has been presented in the form of thesis by publication. The present doctoral thesis summarises a set of publications resulting from several years of work within the framework of three research lines on active ageing and e-health solutions and Ambient Assisted Living for the ageing population: Smart furniture and Smart habitats, active and healthy ageing and Information and Communication Technology solutions focused on health care in general and on the adult population in particular. Such works show the results of an analysis of the state of the art, patents, and others, to establish a precise definition of the concept of Smart Furniture to highlight its properties in terms of functionality and the active and connected digital element, and to underline that smart furniture must be considered as an integrated entity in the concept of Smart Cities or Quality of Life. For this reason, the state-of-the- art research focuses on the aging workforce, recent trends, future directions, and aging at work. The aim is to draw conclusions on the main motivational issues and to propose effective responses that support the concept of aging at work, as well as e-health solutions for the senior population to live independently for longer through both, a low-range IoT architecture to help address the challenges of deploying a e-health system in rural areas, and a tele-assistance system based on proactivity, prevention, and users’ needs and their environments.Esta tesis doctoral se presenta bajo la modalidad de compendio de publicaciones. Está formada por un total de cuatro artículos. Artículo 1.-: Krejcar, O., Maresova, P., Selamat, A., Melero, F. J., Barakovic, S., Husic, J. B., Herrera-Viedma, E., Frischer, R., & Kuca, K., 2019. Smart furniture as a component of a smart city—definition based on key technologies specification. IEEE Access, volumen 7. https://doi.org/10.1109/ACCESS.2019.2927778. Artículo 2.-: Barakovic Husic, J., Melero, F. J., Barakovic, S., Lameski, P., Zdravevski, E., Maresova, P., Krejcar, O., Chorveb, I., Garcia, N.M, & Trajkovik, V., 2020. Aging at Work: A Review of Recent Trends and Future Directions. International journal of environmental research and public health, volumen 17 https://doi.org/10.3390/ijerph17207659. Artículo 3.-: Dimitrievski, A., Filiposka, S., Melero, F. J., Zdravevski, E., Lameski, P., Pires, I. M., Garcia N.M., Lousado, J.P. & Trajkovik, V., 2021. Rural Healthcare IoT Architecture Based on Low-Energy LoRa. International Journal of Environmental Research and Public health, volumen 18. https://doi.org/10.3390/ijerph18147660 Artículo 4.-: Melero, F. J., Bueno, M.V., Martínez, R., Maestre, R., Beteta, M.A., Puebla, T., Bleda, A.L., Sánchez, G., Pérez, R. & Álvarez, M., 2022. Design and Development of a Heterogeneous Active Assisted Living Solution for Monitoring and Following-up with Chronic Heart Failure Patients in Spain. Sensors, Volumen 22, https://doi.org/10.3390/s22228961Escuela Internacional de Doctorado de la Universidad Politécnica de CartagenaUniversidad Politécnica de CartagenaPrograma de Doctorado en Tecnologías de la Información y las Comunicacione

Towards collaborative health care system model - COHESY

The recent trend in healthcare support systems is the development of patient-centric pervasive environments and adoption of mobile devices and technology in the field of medical monitoring and personal health care systems in general. This is especially a case with certain categories of people with chronicle diseases who need 24 hour access to medical care. The model of the collaborative health care system presented in this paper offers 24 hour monitoring of the condition of patients and the possibility of sending an emergency call for sudden deterioration of his medical condition. In addition, the system enables the patient (system user) to contact other people with similar condition and exchange their experience. This system improves the terms of home care treatment of the patient and also increases the medical capacity of the appropriate institutions. The result is significant reduction of the overall costs for patients and hospitals. 2011 IEEE

Collaborative system for prevention of increased blood sugar level

Today there is a growing interest towards the adoption of novel technology in the field of medical monitoring and personal health care systems in general. In this paper we present algorithms that generate recommendations and suggestions for preventive intervention instead of emergency care and hospital admissions, used in the model of the collaborative health care system (Cohesy). Use of data sets from the health and physical activities history of users can be very important for improving the health of users because the history of the diagnoses can detect which physical activities contributed to the improvement of the health of the user. Step further, we use these data sets to generate recommendation for activity in cases where the user health has deteriorated

Personal healthcare system model using collaborative filtering techniques

Today, there is a growing interest towards the adoption of mobile devices and technology in the field of medical monitoring and personal health care systems in general. This is especially a case with certain categories of people with chronicle diseases who need 24 hour access to medical care. In this paper we are presenting the model of the health care system (Cohesy) that use collaborative techniques for communication between users, filtering large amount of data and generating different recommendation, notification and suggestion to the users. This system offers 24 hour monitoring of the condition of the patients and the possibility of sending an emergency call for sudden deterioration of their medical condition. In addition, the system enables the patient (system user) to contact other people with similar condition and exchange their experience. This system model improves the terms of home care treatment of the patient and also increases the medical capacity of the appropriate institutions. The result is significant reduction of the overall costs for patients and hospitals