Elderly-oriented network for EU
Today’s aging population brings demanding challenges on finding sustainable ways of organizing health care. Gaia has created ENSAFE (Elderly-oriented Network-based Services) which aims at supporting more effective prevention and self-care strategies.
Today, there is a progressive imbalance between caregiving availability and needs. Informal care givers – often a spouse, children or friends – are deeply affected by the older family members’ increasing need for care. Aditionally, formal health and social care systems as well as their insurance fundaments are also under great pressure, especially when the elderly lack an informal caregiver network. The limited capacity of both formal and informal caregivers has induced a shift towards prevention and the early diagnosis of potential health issues.
Iot Hub and Azure Machine Learning
The data will be collected from clinical sensors, home sensors as well as smartphones and wearables connected to the monitored user. The collected data will be sent to the cloud where it will be analyzed, both in real time and in a batch wise manner. Results will be presented to the monitored user as well as to informal and formal care givers related to the user.
ENSAFE envisages the creation of a supportive platform integrating the following different components, which so far have been offered and used as independent services:
Mobile communication and sensing through the GoLivephone (GoCiety, NL)
Home monitoring by the CARDEAdomus system, (University of Parma, IT)
Tele-medicine products and physiological sensors (METEDA, IT)
SICS Swedish ICT acts as national coordinator and will participate in the demand analysis as well as tests and verification in Sweden, to be performed mainly in the Test Environment Norrköping, whilst the integrating data storage platform and architecture will be developed by us at Gaia. ENSAFE aims at supporting more effective prevention and self-care strategies by creating a smarter, more accessible and versatile link among the elderly person, their living environment and the support network around them. This by creating an elderly-oriented, network-based services aimed at fostering independent life. The service vision is built upon a layer of existing technologies, encompassing mobile communication, environmental sensing and clinical monitoring. Within the project the technologies will be further developed and integrated into a common framework which, in turn, will provide the basis for implementing innovative services.
The new solution is to efficiently link life and home environment sensors to the smart mobile device. It will allow for gaining a detailed overview of the users activity and wellbeing through data coming from the personal mobile device and from the interaction with the environment. Personal and environmental monitoring are rather complementary, and their fusion may provide a much more comprehensive insight on the users actual wellbeing or health conditions. By including physiological sensing as well, the potential users’ range is broadened. This encompassing self-care of mild medical conditions and allowing for correlating behavioural data to clinical data.
IoT Hub (Customized version of IoT Suite) is used for data ingestion, Stream Analytics for Real Time analytics and as a “stream switch” for further processing and we are using Azure ML for predictive modelling and analytics.
SICS (SE), RZCC (NL), Gociety (NL), TU Eindhoven (NL), University of Parma (IT), Meteda (IT), Proges (IT), NWCAHSN (UK), ICE Creates (GB)