Rehabilitation at Home: A Comprehensive Technological Approach View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

N. Alberto Borghese , David Murray , Anisoara Paraschiv-Ionescu , Eling D. de Bruin , Maria Bulgheroni , Alexander Steblin , Andreas Luft , Carlos Parra

ABSTRACT

Novel tracking devices, like Nintendo Wii and balance board and Microsoft Kinect, have open the possibility to do rehabilitation at home, where patients are guided by video-games. It was soon recognized however, that to be effective, rehabilitation games cannot work as stand-alone applications but must be embedded into a broader architecture involving patients, therapists, clinicians, hospitals and health providers. This is specifically the approach pursued inside the REWIRE project, recently funded by the EU, that has developed three main hierarchical components: a hospital station (HS), a networking station (NS), and a patient station (PS). The PS, installed at patients’ homes, guides the patient through rehabilitation using engaging and video games each developed to train a specific function. A framework for defining an objective progression based on Gentile’s taxonomy is introduced. Games have been realized through a Game engine that combines classical functionalities with advanced functionalities specific to rehabilitation: adaptation, monitoring, feed-back and data log. Moreover, the exergames realized share a wider theme that allows increasing patients’ motivation. A few of these games will be illustrated. Besides this patients are followed during their daily activity through a worn body sensor network. However, although the novel Kinect system makes reliable body tracking generally possible, it does produce poor results in tracking feet that, however, is fundamental in many rehabilitation programs, as regaining postural control and gait is the first request of any patient after a stroke event. We will show here how through combining level set with object representation inside embedding spaces of low dimensionality and parallel processing on GPU, a robust real-time tracker can be built. Exergames are complemented with a novel analysis of motion pattern to derive activity profiling that can be used by the clinicians to tune the therapy and shown to the patient to increase his motivation. The HS is two-fold: it is used by clinicians as a therapy management tool and it supports a virtual community of all stakeholders to increase motivation, ease isolation and increase compliance to the therapy. The Web2.0 technology adopted makes these two components extremely flexible and portable. The NS is installed at the health provider site, at a regional level. It provides advanced data mining functionalities to discover patterns in rehabilitation treatments among hospitals and regions. More... »

PAGES

289-319

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-54816-1_16

DOI

http://dx.doi.org/10.1007/978-3-642-54816-1_16

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1051636832


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