Transition from healthy status to Parkinson’s Disease (PD) is vaguely tractable, since symptoms can be so subtle in the early stages that they go unnoticed. Lack of biomarkers and/or findings on routine MRI and CT scans, PD is left undiagnosed for years, gradually affecting the life of over 6.5 million of older adults (>55-60 yrs) worldwide, increasing the risk of their health deterioration. Epidemiological studies conclude that early intervention could have an inverse relation with the PD-related risks of progressive frailty, falls and emotional shift towards depression. Based on this evidence, the cardinal objective of i-PROGNOSIS is the development of (i) an ICT-based behavioural analysis approach for capturing, as early as possible, the PD symptoms appearance, and (ii) the application of ICT-based interventions countering identified risks. To achieve this, awareness initiatives will be employed, so as to construct i-PROGNOSIS community, targeting > 5000 older individuals within the duration of the project, in order to unobtrusively sense large scale behavioural data from its members, acquired from their natural use of mobile devices (smartphone/smartwatch). Ensuring anonymisation and secure Cloud archiving, i-PROGNOSIS will develop and employ advanced big data analytics and machine learning techniques, in a distributed and privacy aware fashion, so as to instantiate a PD Behavioural Model and construct reliable early PD symptoms detection alarms. To those identified and clinically validated as early stage PD patients, ICT-based interventions will be provided via the i-PROGNOSIS Intervention Platform, including: a) a Personalised Game Suite (ExerGames, DietaryGames, EmoGames, Handwriting/VoiceGames) for physical/emotional support, b) targeted nocturnal intervention to increase relaxation/sleep quality and c) assistive interventions for voice enhancement and gait rhythm guidance. In this way, i-PROGNOSIS will constructively contribute to active and healthy ageing.
Other organisations participating in the commitment:
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS (CERTH-GREECE), FACULDADE DE MOTRICIDADE HUMANA (FMH-PORTUGAL), KAROLINSKA INSTITUTET (KI-SWEDEN), COSMOTE KINITES TILEPIKOINONIES AE (GREECE), KING'S COLLEGE LONDON (KCL-UK), TECHNISCHE UNIVERSITAET DRESDEN (TUD-GERMANY), PLUX - WIRELESS BIOSIGNALS S.A. (PORTUGAL), FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV (GERMANY), AGE PLATFORM EUROPE AISBL (BELGIUM), ELLINIKO KENTRO KENOTOMIAS MICROSOFT (Microsoft Innovation Center-GREECE)
Lead organisation name:
Department of Electrical & Computer Engineering-Aristotle University of Thessaloniki
Prof. Leontios Hadjileontiadis
Contact person email:
Last update: 09/01/2018
Please visit the site of our project: www.i-prognosis.eu where there are specific public deliverables as outcomes of the first year's work.
|Title||Planned Deadline||Current Status||Category||Attachments|
|iPrognosis app can be freely downloaded from Google play from here: https://play.google.com/store/apps/details?id=com.iprognosis.gdatasuite||29/05/2017||Achieved||Products: ICT tools (apps, software)|
No results were indicated for this commitment.