The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: A randomized controlled pilot study in the acute phase of stroke using the Rehabilitation Gaming System
Open accessAbstract
Purpose: Given the incidence of stroke, the need has arisen to consider more self-managed rehabilitation approaches. A promising technology is Virtual Reality (VR). Thus far, however, it is not clear what the benefits of VR systems are when compared to conventional methods. Here we investigated the clinical impact of one such system, the Rehabilitation Gaming System (RGS), on the recovery time course of acute stroke. RGS combines concepts of action execution and observation with an automatic individualization of training. Methods. Acute stroke patients (n = 8) used the RGS during 12 weeks in addition to conventional therapy. A control group (n = 8) performed a time matched alternative treatment, which consisted of intense occupational therapy or non-specific interactive games. Results. At the end of the treatment, between-group comparisons showed that the RGS group displayed significantly improved performance in paretic arm speed that was matched by better performance in the arm subpart of the Fugl-Meyer Assessment Test and the Chedoke Arm and Hand Activity Inventory. In addition, the RGS group presented a significantly faster improvement over time for all the clinical scales during the treatment period. Conclusions. Our results suggest that rehabilitation with the RGS facilitates the functional recovery of the upper extremities and that this system is therefore a promising tool for stroke neurorehabilitation.
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Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007) · Behavior Research Methods · doi:10.3758/bf03193146 · Cited by 65,971
Adams, H. P., Bendixen, B. H., Kappelle, L. J., Biller, J., Love, B. B., Gordon, D. L., & Marsh, E. E. (1993) · Stroke · doi:10.1161/01.str.24.1.35 · Cited by 12,335
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386 · cited 2×
“In recent years the use of technology based neurorehabilitation approaches has increased to face the high demands due to the increasing numbers of stroke victims (Mathers and Loncar 2006; Kalra 2009).”
BackgroundMethodEmergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A., & Field, D. J. (1996) · Nature · doi:10.1038/381607a0 · Cited by 5,694
The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance
Fugl-Meyer, A., Jääskö, L., Leyman, I., Olsson, S., & Steglind, S. (1975) · Journal of Rehabilitation Medicine · doi:10.2340/1650197771331 · Cited by 5,564
Classification and natural history of clinically identifiable subtypes of cerebral infarction
Bamford, J., Sandercock, P., Dennis, M., Warlow, C., & Burn, J. (1991) · The Lancet · doi:10.1016/0140-6736(91)93206-o · Cited by 3,294
Cattaneo, L., & Rizzolatti, G. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.41 · Cited by 3,137
A sensorimotor account of vision and visual consciousness
O'Regan, J. K., & Noë, A. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01000115 · Cited by 3,126
Plasticity during stroke recovery: from synapse to behaviour
Murphy, T. H., & Corbett, D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2735 · Cited by 1,938
Cited by
Winstein, C. J., Stein, J., Arena, R., Bates, B., Cherney, L. R., Cramer, S. C., Deruyter, F., Eng, J. J., Fisher, B., Harvey, R. L., et al. (2016) · Stroke · doi:10.1161/str.0000000000000098 · Cited by 3,293
What Is the Evidence for Physical Therapy Poststroke? A Systematic Review and Meta-Analysis
Veerbeek, J. M., van Wegen, E., van Peppen, R., van der Wees, P. J., Hendriks, E., Rietberg, M., & Kwakkel, G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087987 · Cited by 1,203
Virtual reality for stroke rehabilitation
Laver, K. E., Lange, B., George, S., Deutsch, J. E., Saposnik, G., & Crotty, M. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008349.pub4 · Cited by 800
Lohse, K. R., Hilderman, C. G. E., Cheung, K. L., Tatla, S., & Van der Loos, H. F. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093318 · Cited by 501
A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective
Habibzadeh, H., Dinesh, K., Rajabi Shishvan, O., Boggio-Dandry, A., Sharma, G., & Soyata, T. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946359 · Cited by 417
Metadata
- Authors
- da Silva Cameirão, M., Bermúdez i Badia, S., Duarte, E., & Verschure, P. F. M. J.
- Venue
- Restorative Neurology and Neuroscience
- Publisher
- SAGE Publications
- Published
- 2011-01-01
- Volume
- 29
- Issue
- 5
- Pages
- 287-298
- ISSN
- 0922-6028 (ISSN-L)
- 1878-3627
- OpenAlex
- W2149027958
- Cited by
- 284
- References
- 35
- FWCI
- 16.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- da Silva Cameirão, M., Bermúdez i Badia, S., Duarte, E., & Verschure, P. F. M. J. (2011). Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: A randomized controlled pilot study in the acute phase of stroke using the Rehabilitation Gaming System. Restorative Neurology and Neuroscience. https://doi.org/10.3233/rnn-2011-0599
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