Analysis Responses

View List of Ontology Terms

Category: Other

The smart platform for monitoring and ensuring individual health with patient participation based on the ontology approach (SPMiHO) is the platform that provides e-health services with preventing risks and confounders based on the individual ontology and smart patterns for timely health correction. This is very important for effective prevention of severe chronic diseases and their consequences, especially in the elderly people. The virtual SPMiHO platform is located on a cloud and includes IoT system that uses 1) various sensors for monitoring the basic parameters to characterize the main indicators of human health, 2) data collection and transmission channels that process based on a variety of information transfer technologies, 3) personal data protection tools, 4) intelligent data collection and processing services, 5) analytical analysis tools, decisions making (making a diagnosis) tools, 6) collecting and processing data on the results of treatment, 7) the messenger for timely informing of the responsible persons.

Category: User Experience

Study protocol of a nationwide multicentric study in seven Italian regions aimed at assessing the effectiveness of a digitally supported approach for the early screening of frailty risk factors in community-dwelling older adults.

Getting online for people with aphasia

Category: User Experience

Stroke Association UK - Online co-designed materials for people with aphasia

GPII Developer Space

Category: Other

The one-stop place to find resources, components and people to conceive, develop, test and market new accessibility solutions

Learning modules Hands-on SHAFE HEALTHY

Category: User Experience

To learn a healthy lifestyle, dealing with therapies, dementia, chronic diseases or impairments

Multimorbidity care model, JA-CHRODIS

Category: Taxonomies

An expert consensus meeting was held to develop a framework for care of multimorbid patients that can be applied across Europe, within a project funded by the European Union; the Joint Action on Chronic Diseases and Promoting Healthy Ageing across the Life Cycle (JA-CHRODIS). Sixteen components across five domains were identified (Delivery of Care; Decision Support; Self Management Support; Information Systems and Technology; and Social and Community Resources). The description and aim of each component are described in these guidelines, along with a summary of key characteristics and relevance to multimorbid patients.

PROGRESSIVE

Category: Standards

PROGRESSIVE (H2020 CSA) was looking at how standards for ICT based products and services can help to meet the needs and preferences of older people and respond to the challenges and opportunities arising from an ageing population, so that everyone can enjoy healthy lives. PROGRESSIVE accompanied standardisers, policy makers, manufacturers, service providers, and European citizens by helping them adopt new approaches to standards development in the field of ICT for ageing well. A standards database is available at: https://progressivestandards.org/standards

Category: User Experience

The top priority of our Organization is to escalate the public awareness of Alzheimer disease and its treatment and to provide education and training both to professional carers and patient relatives and to elevate the quality of life for both patients and their relatives.

Category: Other (project outcome)

SOCIABLE introduces a radical new approach for ICT assisted cognitive training and social activation for a wide range of senior citizens including cognitive intact elderly, older adults with Mild Cognitive Impairment. SOCIABLE supports personalized cognitive training interventions, designed by cognitive neuroscientists and health experts according to medically sound principles covering all cognitive skills.

Category: Other

A model for digital neural impairment screening and self-assessment, which can evaluate cognitive and motor deficits for patients with symptoms of central nervous system (CNS) disorders, such as mild cognitive impairment (MCI), Parkinson's disease (PD), Huntington's disease (HD), or dementia. The data was collected with an Android mobile application that can track cognitive, hand tremor, energy expenditure, and speech features of subjects. We extracted 238 features as the model inputs using 16 tasks, 12 of them were based on a self-administered cognitive testing (SAGE) methodology and others used finger tapping and voice features acquired from the sensors of a smart mobile device (smartphone or tablet)