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Cited by 745

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Motor rehabilitation using virtual reality

Open access
Sveistrup, Heidi·2004·Journal of NeuroEngineering and Rehabilitation

Abstract

Virtual Reality (VR) provides a unique medium suited to the achievement of several requirements for effective rehabilitation intervention. Specifically, therapy can be provided within a functional, purposeful and motivating context. Many VR applications present opportunities for individuals to participate in experiences, which are engaging and rewarding. In addition to the value of the rehabilitation experience for the user, both therapists and users benefit from the ability to readily grade and document the therapeutic intervention using various systems. In VR, advanced technologies are used to produce simulated, interactive and multi-dimensional environments. Visual interfaces including desktop monitors and head-mounted displays (HMDs), haptic interfaces, and real-time motion tracking devices are used to create environments allowing users to interact with images and virtual objects in real-time through multiple sensory modalities. Opportunities for object manipulation and body movement through virtual space provide frameworks that, in varying degrees, are perceived as comparable to similar opportunities in the real world. This paper reviews current work on motor rehabilitation using virtual environments and virtual reality and where possible, compares outcomes with those achieved in real-world applications.

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Metadata

Authors
Sveistrup, H.
Venue
Journal of NeuroEngineering and Rehabilitation
Published
2004-12-10
Volume
1
Issue
1
Pages
10-10
ISSN
1743-0003 (ISSN-L)
OpenAlex
W2150334199
Cited by
745
References
43
FWCI
14.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Motor rehabilitation using virtual reality. https://app.cochat.ai/papers/10.1186/1743-0003-1-10
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Sveistrup, H. (2004). Motor rehabilitation using virtual reality. Journal of NeuroEngineering and Rehabilitation. https://doi.org/10.1186/1743-0003-1-10

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.