The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery
Abstract
Robotics and related technologies have begun to realize their promise to improve the delivery of rehabilitation therapy. However, the mechanism by which they enhance recovery remains unclear. Ultimately, recovery depends on biology, yet the details of the recovery process remain largely unknown; a deeper understanding is important to accelerate refinements of robotic therapy or suggest new approaches. Fortunately, robots provide an excellent instrument platform from which to study recovery at the behavioral level. This article reviews some initial insights about the process of upper-limb behavioral recovery that have emerged from our work. Evidence to date suggests that the form of therapy may be more important than its intensity: muscle strengthening offers no advantage over movement training. Passive movement is insufficient; active participation is required. Progressive training based on measures of movement coordination yields substantially improved outcomes. Together these results indicate that movement coordination rather than muscle activation may be the most appropriate focus for robotic therapy.
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Cites
Nudo, R. J., Wise, B. M., SiFuentes, F., & Milliken, G. W. (1996) · Science · doi:10.1126/science.272.5269.1791 · Cited by 1,911
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×
“Given that interactive robotic therapy produced a significant effect on motor outcome [11–16], the conclusion seems inescapable: recovery requires active participation.”
BackgroundThe central nervous system stabilizes unstable dynamics by learning optimal impedance
Burdet, E., Osu, R., Franklin, D. W., Milner, T. E., & Kawato, M. (2001) · Nature · doi:10.1038/35106566 · Cited by 1,097
Exercise and brain neurotrophins
Neeper, S. A., Góauctemez-Pinilla, F., Choi, J., & Cotman, C. (1995) · Nature · doi:10.1038/373109a0 · Cited by 1,066 · cited 1×
“PM1, which measured ability to initiate movement, was probably most important for severely impaired patients and helped to ensure appropriate timing of afferent and efferent signals, which may be important for reestablishing the excitability of corticospinal projections [38–42].”
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Cited by
Robot assisted gait training with Active Leg Exoskeleton (ALEX)
Banala, S. K., Kim, S. H., Agrawal, S. K., & Scholz, J. P. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2008.2008280 · Cited by 751
Compliant actuation of rehabilitation robots
Vallery, H., Veneman, J., van Asseldonk, E., Ekkelenkamp, R., Buss, M., & van Der Kooij, H. (2008) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2008.927689 · Cited by 448
A paradigm shift for rehabilitation robotics
Krebs, H., Dipietro, L., Levy-Tzedek, S., Fasoli, S., Rykman-Berland, A., Zipse, J., Fawcett, J., Stein, J., Poizner, H., Lo, A., et al. (2008) · IEEE Engineering in Medicine and Biology Magazine · doi:10.1109/memb.2008.919498 · Cited by 162
Self-citationAtashzar, S. F., Shahbazi, M., Tavakoli, M., & Patel, R. V. (2017) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2016.2594584 · Cited by 78
Atashzar, S. F., Polushin, I. G., & Patel, R. V. (2017) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2623336 · Cited by 57
Metadata
- Authors
- Hogan, N., Krebs, H. I., Rohrer, B., Palazzolo, J. J., Dipietro, L., Fasoli, S. E., Stein, J., Hughs, R., Frontera, W. R., Lynch, D., & Volpe, B. T.
- Venue
- The Journal of Rehabilitation Research and Development
- Published
- 2006
- Volume
- 43
- Issue
- 5
- Pages
- 605
- ISSN
- 0742-3241 (ISSN-L)
- 0748-7711
- OpenAlex
- W2161839080
- Cited by
- 374
- References
- 4
- FWCI
- 16.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hogan, N., Krebs, H. I., Rohrer, B., Palazzolo, J. J., Dipietro, L., Fasoli, S. E., Stein, J., Hughs, R., Frontera, W. R., Lynch, D., & Volpe, B. T. (2006). Motions or muscles? Some behavioral factors underlying robotic assistance of motor recovery. The Journal of Rehabilitation Research and Development. https://doi.org/10.1682/jrrd.2005.06.0103
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
