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i-PROGNOSIS

Financiado

Intelligent Parkinson eaRly detectiOn Guiding NOvel Supportive InterventionS

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 lef... ver más

31/01/2020

ARISTOTLE UNIVERSI...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

ARISTOTELIO PANEPISTIMIO THESSALONIKIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 12 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-01-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

PHC-21-2015: Advancing active and healthy ageing with ICT: Early risk detection and intervention

I+D

Cerrada hace 9 años

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12 Participantes

ARISTOTLE UNIVERSITY OF THES...

921.88K€ | Lider

DETERVIC

141.84K€ | Participante

MICROSOFT INNOVATION CENTER-...

258.44K€ | Participante

PLUX

283.79K€ | Participante

Últimas noticias

30-11-2024: Cataluña Gestión For... Se ha cerrado la línea de ayuda pública: Gestión Forestal Sostenible para Inversiones Forestales Productivas para el organismo:

29-11-2024: IDAE En las últimas 48 horas el Organismo IDAE ha otorgado 4 concesiones

29-11-2024: ECE En las últimas 48 horas el Organismo ECE ha otorgado 2 concesiones

Duración del proyecto: 50 meses Fecha Inicio: 2015-11-10
Fecha Fin: 2020-01-31

Líder del proyecto

ARISTOTELIO PANEPISTIMIO THESSALONIKIS

TRL 4-5

Presupuesto del proyecto 4M€

Descripción del proyecto 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.

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