Healthy Aging through Pervasive Predictive Analytics for Prevention and Rehabilitation of Chronic Conditions

The current aging of the population is linked to many societalchallenges, especially in healthcare. Co-morbid chronic conditionsare prevalent in older age and drastically affect people?swellbeing, but they are difficult to study due to the many healthdeterminants involved. For this reason, we propose amultidisciplinary ICT-based approach for the prevention andrehabilitation of chronic conditions using unobtrusive andpervasive sensors, interactive activities, and predictive analytics.This framework allows fine monitoring of older people?s healthand improved personalized care for healthy aging. To illustrate theadvantages of this pervasive and data-driven approach we setforth a conceptual model, in which we use cardiovascular disease,Alzheimer?s disease, depression and falls as examples of commonco-morbid conditions in older people

A review of activity trackers for senior citizens: research perspectives, commercial landscape and the role of the insurance industry

The objective assessment of physical activity levels through wearable inertial-based motion detectors for the automatic, continuous and long-term monitoring of people in free-living environments is a well-known research area in the literature. However, their application to older adults can present particular constraints. This paper reviews the adoption of wearable devices in senior citizens by describing various researches for monitoring physical activity indicators, such as energy expenditure, posture transitions, activity classification, fall detection and prediction, gait and balance analysis, also by adopting consumer-grade fitness trackers with the associated limitations regarding acceptability. This review also describes and compares existing commercial products encompassing activity trackers tailored for older adults, thus providing a comprehensive outlook of the status of commercially available motion tracking systems. Finally, the impact of wearable devices on life and health insurance companies, with a description of the potential benefits for the industry and the wearables market, was analyzed as an example of the potential emerging market drivers for such technology in the future

On preventive blood pressure self-monitoring at home

Self-monitoring activities are increasingly becoming part of people’s everyday lives. Some of these measurements are taken voluntarily rather than being referred by a physician and conducted because of either a preventive health interest or to better understand the body and its functions (the so-called Quantified Self). In this article, we explore socio-technical complexities that may occur when introducing preventive health-measurement technologies into older adults’ daily routines and everyday lives. In particular, the original study investigated blood pressure (BP) measurement in non-clinical settings, to understand existing challenges, and uncover opportunities for self-monitoring technologies to support preventive healthcare activities among older adults. From our study, several important aspects emerged to consider when designing preventive self-monitoring technology, such as the complexity of guidelines for self-measuring, the importance of interpretation, understanding and health awareness, sharing self-monitoring information for prevention, various motivational factors, the role of the doctor in prevention, and the home as a distributed information space. An awareness of these aspects can help designers to develop better tools to support people’s preventive self-monitoring needs, compared to existing solutions. Supporting the active and informed individual can help improve people’s self-care, awareness, and implementation of preventive care. Based on our study, we also reflect on the findings to illustrate how these aspects can both inform people engaged in Quantified Self activities and designers alike, and the tools and approaches that have sprung from the so-called Quantified Self movement

SHELDON Smart habitat for the elderly.

An insightful document concerning active and assisted living under different perspectives: Furniture and habitat, ICT solutions and Healthcare

White Paper 5: Brain, Mind & Behaviour

© CSICThe study of the brain will tell us what makes us humans and how our social behavior generates. Increasing our understanding of how the brain functions and interacts with the ecosystem to interpret the world will not only help to find effective means to treat and/or cure neurological and psychiatric disorders but will also change our vision on questions pertaining to philosophy and humanities and transform other fields such as economy and law. Neurosciences research at the CSIC is already valuable and should be intensified mainly focused on the eight major challenges described in this volume

Challenge 2: From genes & circuits to behavior

Understanding the brain from genes and circuits to behavior is a major scientific challenge. The large repertoire of cell activities supporting behavior stems from an equally diverse range of specialized cell types, from neuron to glia. To untangle mechanisms underlying brain function, elementary processes should be dissected, from the complex machinery of signaling pathways at the level of single cells and synapses, to the intricate phenomena leading to orchestrated ensemble activity and the establishment of engrams driving memory-guided behaviors. In this chapter we identify the main key tasks required to address some of the open questions in the field, and discuss on the main issues and strategies

ICT-Enabled Social Innovation to support the Implementation of the Social Investment Package: Mapping and Analysis of ICT-enabled Social Innovation initiatives promoting social investment in integrated approaches to the provision of social services: IESI Knowledge Map 2015

This report presents the analysis of the Mapping 2015 of the project 'ICT-enabled Social Innovation to support the Implementation of the Social Investment Package' (IESI). It provides an enriched picture of the existing knowledge base and evidence of how ICT-enabled social innovation initiatives that promote social investment through integrated approaches to social services delivery can contribute to the policy objectives of the EU Social Investment Package (SIP) to support the achievement of the goals of the EU 2020 strategy in terms of inclusive growth and employment. After having introduced the policy and research background outlining the overall objectives and scope of the IESI research and the aim of the mapping 2015, the report provides an overview of the methodology followed for enriching the IESI inventory of ICT-enabled social innovation initiatives through a structured dynamic database and by conducting the mapping and analysis of a selected sample of 210 initiatives. The report then updates the review of the literature and practice in domains related to the role and impact of ICT-enabled social innovation promoting social investment, with a specific focus on the area of active and healthy ageing and long-term care for older people, particularly the theme: prevention, health promotion and rehabilitation. In reviewing the state of the art the report discusses the degree of deployment of ICT-enabled social innovations that promote social investment through integrated approaches to social services provision in terms of geographical spread and different areas of social services covered, providing insight into the levels and types of deployment achieved. Further, the IESI conceptual framework which underpins the research and which has been used to guide the mapping and analysis of initiatives is discussed, proposing additional dimensions in order to enrich the framework of analysis itself. Evolving theoretical approaches are taken into account, the aim being to better explain the implications ICT-enabled social innovation initiatives have or may have for social policy reforms. This is followed by an overview of the consolidated results of the analysis of the initiatives collected as part of the IESI mapping exercise in 2014 and 2015. The analysis presents the IESI Knowledge Map 2015, which aims to provide a better understanding of the main characteristics and patterns of the initiatives identified, according to the IESI conceptual framework. Reference is also made to the different welfare systems and social services delivery models which characterise various EU countries in order to contextualise the potential role played by ICT-enabled social innovation to promote social investment through integrated approaches to social services delivery. The findings of specific thematic analyses conducted on a set of selected topics: 1) the role of social enterprise-driven ICT-enabled social innovation initiatives in support of social services delivery; and the implications of ICT-enabled social innovation that promote social investment through integrated approaches to social services delivery in support of: 2) active inclusion of young people; and 3) active and healthy ageing and long-term care for older people, particularly as regards prevention, health promotion and rehabilitation are then presented. Finally, the main conclusions deriving from the analysis of the mapping in terms of the contribution made by ICT-enabled social innovation promoting social investment through integrated approaches to social services delivery to the implementation of the SIP are outlined. This is complemented by an analysis of the gaps identified; the limitations of the current mapping exercise and recommendations for future research, as well as implications and possible directions for policy.JRC.J.3-Information Societ