Wenk, Nicolas; Buetler, Karin A.; Marchal-Crespo, Laura (2020). Virtual Reality in Robotic Neurorehabilitation. In: Hayre, Christopher M.; Muller, Dave J.; Scherer, Marcia J. (eds.) Virtual Reality in Health and Rehabilitation (pp. 41-60). Taylor & Francis Group 10.1201/9780429351365-5
Full text not available from this repository.Patients with neurological disorders engage in an intensive and extensive neurorehabilitation process to regain part of their lost cognitive and motor functions. Robot-assisted rehabilitation and virtual reality (VR) is a promising technology combination to improve neurorehabilitation. Specifically, robot-assisted immersive VR therapy may enforce neuroplasticity by enhancing patients motivation and engagement in intensive movement training through individualized VR regimes, supporting multisensory integration (i.e., visual, auditory and haptic information), and by realistically mimicking real-life or fictional scenarios together with a realistic representation of the patients' limbs. Yet, the potential of robotic VR therapy is not exploited due to the simplistic and cognitively demanding VR systems currently employed in clinics. In this chapter, we review the current status of research in robotic VR neurorehabilitation, which factors are important to be considered when designing VR therapy programs and suggest promising directions for future research.
Item Type: |
Book Section (Book Chapter) |
|---|---|
Division/Institute: |
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Motor Learning and Neurorehabilitation |
Graduate School: |
Graduate School for Cellular and Biomedical Sciences (GCB) |
UniBE Contributor: |
Wenk, Nicolas, Bütler, Karin, Marchal Crespo, Laura |
Subjects: |
600 Technology > 610 Medicine & health |
ISBN: |
9780429351365 |
Publisher: |
Taylor & Francis Group |
Projects: |
[1183] OnLINE: Optimize motor Learning to Improve NEurorehabilitation |
Language: |
English |
Submitter: |
Nicolas Wenk |
Date Deposited: |
14 Sep 2021 08:21 |
Last Modified: |
05 Dec 2022 15:52 |
Publisher DOI: |
10.1201/9780429351365-5 |
URI: |
https://boris.unibe.ch/id/eprint/158421 |
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