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REWIRE

Financiado

Cerrado

Rehabilitative Wayout In Responsive home Environments

REWIRE develops, integrates and field tests an innovative virtual reality based rehabilitation platform, which allows patients, discharged from the hospital, to continue intensive rehabilitation at home under remote monitoring by... ver más

31/12/2014

UMIL

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

UNIVERSITA DEGLI STUDI DI MILANO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 12 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-12-31 No tenemos la información de la convocatoria

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Información adicional privada

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12 Participantes

UMIL

0.00€ | Lider

ABACUS

N.D. | Participante

UOXF

N.D. | Participante

SERVICIO ANDALUZ DE LA SALUD...

N.D. | Participante

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Líder del proyecto

UNIVERSITA DEGLI STUDI DI MILANO No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto REWIRE develops, integrates and field tests an innovative virtual reality based rehabilitation platform, which allows patients, discharged from the hospital, to continue intensive rehabilitation at home under remote monitoring by the hospital itself. The main idea is to assemble off the shelf components in a robust and reliable way to get a platform system that can be to be deployed massively at the patients' homes. The platform is constituted of three hierarchical components: a patient station (PS), deployed installed at home, a hospital station (HS) and a networking station (NS) at a the health provider site. The PS is based on video-based tracking (through a mix of 2D and 3D cameras) and virtual reality. The patient sees on the display himself or an avatar moving and interacting in real-time with a virtual game with his movements tracked in real-time. Game variety of scenarios, balanced scoring system, quantitative exercise evaluation, audio-visual feed-back aims at maximum patient's motivation. A robust and reliable auto-calibration and spatial synchronization with the graphics is developed. Patient's daily activity is monitored by a Body Sensor Networks and his activity is profiled through eigenbehaviors. Environmental, physiological and motion data are combined to tune the rehabilitation exercise level, to assess potential risks and advice clinicians on the therapy. The HS main role is the definition and monitoring of the treatment. Data mining in the NS discovers common features and trends of rehabilitation treatment among hospitals and regions. A virtual community is setup to educate and motivate patients. A pilot is designed both for the clinical evaluation of effectiveness and suitability of REWIRE, and the study of the most appropriate model to seamlessly connect long-term at home rehabilitation to that at hospital, appropriate service settings and adequate business models. Using advanced DTI imaging it is tested whether REWIRE meets the rationale of rehabilitation, that it triggers brain adaptations that mediate recovery.

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