The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A survey on robotic devices for upper limb rehabilitation
Open accessAbstract
The existing shortage of therapists and caregivers assisting physically disabled individuals at home is expected to increase and become serious problem in the near future. The patient population needing physical rehabilitation of the upper extremity is also constantly increasing. Robotic devices have the potential to address this problem as noted by the results of recent research studies. However, the availability of these devices in clinical settings is limited, leaving plenty of room for improvement. The purpose of this paper is to document a review of robotic devices for upper limb rehabilitation including those in developing phase in order to provide a comprehensive reference about existing solutions and facilitate the development of new and improved devices. In particular the following issues are discussed: application field, target group, type of assistance, mechanical design, control strategy and clinical evaluation. This paper also includes a comprehensive, tabulated comparison of technical solutions implemented in various systems.
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Citations
Cites
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Measurement and modeling of McKibben pneumatic artificial muscles
Chou, C.-P., & Hannaford, B. (1996) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.481753 · Cited by 1,589
Robot-Assisted Therapy for Long-Term Upper-Limb Impairment after Stroke
Lo, A. C., Guarino, P. D., Richards, L. G., Haselkorn, J. K., Wittenberg, G. F., Federman, D. G., Ringer, R. J., Wagner, T. H., Krebs, H. I., Volpe, B. T., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0911341 · Cited by 1,397
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“MIME, Burgar [120] 6 Shoulder * elbow Forearm position, orientation, torque DC brushed servomotors (PUMA 560 robot) Stationary system (end-effector-based); physical therapy CII studies: 27(13) cS [48] and 30(24) sS [49], CI study: 13 cS [50]; see also ARC-MIME”
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Design and Validation of a Rehabilitation Robotic Exoskeleton for Tremor Assessment and Suppression
Rocon, E., Belda-Lois, J. M., Ruiz, A. F., Manto, M., Moreno, J. C., & Pons, J. L. (2007) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.903917 · Cited by 349 · cited 7×
“WOTAS [99] orthosis and a system proposed by Loureiro, et al.”
MethodInfluentialDevelopment and Control of a ‘Soft-Actuated’ Exoskeleton for Use in Physiotherapy and Training
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Cited by
Bi, L., Feleke, A. >., & Guan, C. (2019) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2019.02.011 · Cited by 418
Motor learning in neurological rehabilitation
Levin, M. F., & Demers, M. (2021) · Disability and Rehabilitation · doi:10.1080/09638288.2020.1752317 · Cited by 198
GAVRe2: Towards Data-Driven Upper-Limb Rehabilitation with Adaptive-Feedback Gamification
Lai, Y., Sutjipto, S., Clout, M. D., Carmichael, M. G., & Paul, G. (2018) · 2018 IEEE International Conference on Robotics and Biomimetics (ROBIO) · doi:10.1109/robio.2018.8665105 · Cited by 13
Metadata
- Authors
- Maciejasz, P., Eschweiler, J., Gerlach-Hahn, K., Jansen-Troy, A., & Leonhardt, S.
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2014-01-09
- Volume
- 11
- Issue
- 1
- Pages
- 3-3
- ISSN
- 1743-0003 (ISSN-L)
- OpenAlex
- W2054326469
- Cited by
- 1,210
- References
- 8
- FWCI
- 46.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- The paper
- Maciejasz, P., Eschweiler, J., Gerlach-Hahn, K., Jansen-Troy, A., & Leonhardt, S. (2014). A survey on robotic devices for upper limb rehabilitation. Journal of NeuroEngineering and Rehabilitation. https://doi.org/10.1186/1743-0003-11-3
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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.
