The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
Poststroke Upper Extremity Rehabilitation: A Review of Robotic Systems and Clinical Results
Abstract
Although the use of robotic devices to address neuromuscular rehabilitative goals represents a promising technological advance in medical care, the large number of systems being developed and varying levels of clinical study of the devices make it difficult to follow and interpret the results in this new field. This article is a review of the current state-of-the-art in robotic applications in poststroke therapy for the upper extremity, written specifically to help clinicians determine the differences between various systems. We concentrate primarily on systems that have been tested clinically. Robotic systems are grouped by rehabilitation application (e.g., gross motor movement, bilateral training, etc.), and, where possible, the neurorehabilitation strategies employed by each system are described. We close with a discussion of the benefits and concerns of using robotics in rehabilitation and an indication of challenges that must be addressed for therapeutic robots to be applied practically in the clinic.
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Citations
Cites
Robot-aided neurorehabilitation
Krebs, H. I., Hogan, N., Aisen, M. L., & Volpe, B. T. (1998) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.662623 · Cited by 1,425
Motor learning: its relevance to stroke recovery and neurorehabilitation
Krakauer, J. W. (2006) · Current Opinion in Neurology · doi:10.1097/01.wco.0000200544.29915.cc · Cited by 1,275
Lum, P. S., Burgar, C. G., Shor, P. C., Majmundar, M., & Van der Loos, M. (2002) · Archives of Physical Medicine and Rehabilitation · doi:10.1053/apmr.2001.33101 · Cited by 1,159 · cited 3×
“The MIME system described previously also has a passive mode that moves the subject’s arm along a specific, desired trajectory.(24,25,34) The REHAROB system uses industrial robots to passively move the upper limb with the goal of decreasing spasticity.”
MethodChollet, F., Di Piero, V., Wise, R. J. S., Brooks, D. J., Dolan, R. J., & Frackowiak, R. S. J. (1991) · Annals of Neurology · doi:10.1002/ana.410290112 · Cited by 1,098
Neural correlates of motor recovery after stroke: a longitudinal fMRI study
Ward, N. S. (2003) · Brain · doi:10.1093/brain/awg245 · Cited by 1,006
Taub, E., Uswatte, G., & Pidikiti, R. D. (1999) · PubMed · Cited by 965
Movement Smoothness Changes during Stroke Recovery
Rohrer, B., Fasoli, S., Krebs, H. I., Hughes, R., Volpe, B., Frontera, W. R., Stein, J., & Hogan, N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-18-08297.2002 · Cited by 767
(2006) · Springer eBooks · doi:10.1007/0-387-28287-4 · Cited by 717
Rehabilitation Robotics: Performance-Based Progressive Robot-Assisted Therapy
Krebs, H. I., Palazzolo, J. J., Dipietro, L., Ferraro, M., Krol, J., Rannekleiv, K., Volpe, B. T., & Hogan, N. (2003) · Autonomous Robots · doi:10.1023/a:1024494031121 · Cited by 714
Motor cortex plasticity during constraint-induced movement therapy in stroke patients
Liepert, J., Miltner, W. H. R., Bauder, H., Sommer, M., Dettmers, C., Taub, E., & Weiller, C. (1998) · Neuroscience Letters · doi:10.1016/s0304-3940(98)00386-3 · Cited by 693
Cited by
Soft robotic glove for combined assistance and at-home rehabilitation
Polygerinos, P., Wang, Z., Galloway, K. C., Wood, R. J., & Walsh, C. J. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2014.08.014 · Cited by 1,617
Klamroth-Marganska, V., Blanco, J., Campen, K., Curt, A., Dietz, V., Ettlin, T., Felder, M., Fellinghauer, B., Guidali, M., Kollmar, A., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70305-3 · Cited by 522
Metadata
- Authors
- Brewer, B. R., McDowell, S. K., & Worthen-Chaudhari, L. C.
- Venue
- Topics in Stroke Rehabilitation
- Publisher
- Informa UK Limited
- Published
- 2007-12
- Volume
- 14
- Issue
- 6
- Pages
- 22-44
- ISSN
- 1074-9357 (ISSN-L)
- 1945-5119
- OpenAlex
- W2081519959
- Cited by
- 301
- References
- 91
- FWCI
- 7.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Brewer, B. R., McDowell, S. K., & Worthen-Chaudhari, L. C. (2007). Poststroke Upper Extremity Rehabilitation: A Review of Robotic Systems and Clinical Results. Topics in Stroke Rehabilitation. https://doi.org/10.1310/tsr1406-22
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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).
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