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Rehabilitative Wayout In Responsive home Environments

Project description


Personal Health Systems (PHS)

The REWIRE project develops, integrates and field tests an innovative rehabilitation platform based on virtual reality. The platform allows patients, discharged by the hospital, to continue their intensive rehabilitation at home under remote monitoring by the hospital itself.

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 to maximize the patient’s motivation. On top of that, a virtual community is setup to educate and motivate the patients.

The 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.

Data mining in the Networking Station discovers common features and trends of rehabilitation treatment among hospitals and regions.

A pilot is taking place not only to clinically evaluate the effectiveness and suitability of REWIRE, but also to find out which  model is the most appropriate to seamlessly connect long-term at home rehabilitation to that at hospital. Appropriate service settings and adequate business models are also being looked at.

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.

Fields of science

Programme(s)

Topic(s)

Call for proposal

FP7-ICT-2011-7
See other projects for this call

Funding Scheme

CP - Collaborative project (generic)

Coordinator

UNIVERSITA DEGLI STUDI DI MILANO
Address
Via festa del perdono 7
20122 Milano
Italy

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Region
Nord-Ovest Lombardia Milano
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Stefano Giudici (Mr.)
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EU contribution
No data

Participants (12)

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Last update: 21 April 2017

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Permalink: https://cordis.europa.eu/project/id/287713

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