i-PROGNOSIS: Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS

i-PROGNOSIS: Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS

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Activity details

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.
Action Group:
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)
Objective:
Lead organisation name: 
Department of Electrical & Computer Engineering-Aristotle University of Thessaloniki
Organisation country:
Contact person: 
Prof. Leontios Hadjileontiadis
Contact person email: 
leontios@auth.gr
Activity type:
Start date: 
01/02/2016
End date: 
31/01/2020
Last update: 09/01/2018

Current Status

Ongoing
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.

Results

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)

Outcomes

No results were indicated for this commitment.