Journal: Intelligent Systems Reference Library

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Publisher

Springer

Journal Volumes

ISSN

1868-4394

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Publications1 - 3 of 3
  • Louzada, Vitor H.P.; Daolio, Fabio; Herrmann, Hans J.; et al. (2015)
    Intelligent Systems Reference Library ~ Propagation Phenomena in Real World Networks
  • Clack, Lauren; Hirt, Christian; Kunz, Andreas; et al. (2021)
    Intelligent Systems Reference Library ~ Recent Advances in Technologies for Inclusive Well-Being
    Hand hygiene is widely recognized as an important measure to prevent the transmission of microorganisms that may be involved in healthcare-associated infections. Yet correct hand hygiene remains challenging and healthcare providers struggle to improve adherence. While seemingly straightforward, performing hand hygiene at the right indication using the right technique becomes difficult within the context of complex work processes. We believe that an important barrier to hand hygiene is the invisible nature of microorganisms and delayed expression of healthcare associated infections. This delayed or missing feedback makes it difficult to associate unsafe behaviors with their negative consequences. In this chapter, we describe an application of experiential learning theory to guide the development of a virtual reality hand hygiene trainer in which visual feedback about microorganism transmission and infectious outcomes are introduced in the virtual environment. With this immersive trainer, our aim is to enhance experiential learning and increase intrinsic motivation to perform hand hygiene.
  • Borghese, N. Alberto; Murray, David; Paraschiv-Ionescu, Anisoara; et al. (2014)
    Intelligent Systems Reference Library ~ Virtual, Augmented Reality and Serious Games for Healthcare 1
    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.
Publications1 - 3 of 3