The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Preliminary Evaluation of a Powered Lower Limb Orthosis to Aid Walking in Paraplegic Individuals
Open accessAbstract
This paper describes a powered lower-limb orthosis that is intended to provide gait assistance to spinal cord injured (SCI) individuals by providing assistive torques at both hip and knee joints. The orthosis has a mass of 12 kg and is capable of providing maximum joint torques of 40 Nm with hip and knee joint ranges of motion from 105° flexion to 30° extension and 105° flexion to 10° hyperextension, respectively. A custom distributed embedded system controls the orthosis with power being provided by a lithium polymer battery which provides power for one hour of continuous walking. In order to demonstrate the ability of the orthosis to assist walking, the orthosis was experimentally implemented on a paraplegic subject with a T10 complete injury. Data collected during walking indicates a high degree of step-to-step repeatability of hip and knee trajectories (as enforced by the orthosis) and an average walking speed of 0.8 km/hr. The electrical power required at each hip and knee joint during gait was approximately 25 and 27 W, respectively, contributing to the 117 W overall electrical power required by the device during walking. A video of walking corresponding to the aforementioned data is included in the supplemental material.
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Cites
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The biomechanics and motor control of human gait
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Exoskeletons and orthoses: classification, design challenges and future directions
Herr, H. (2009) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-6-21 · Cited by 477
Intention-based walking support for paraplegia patients with robot suit HAL
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Cited by
Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
“Voice commands or eye movements sequences have also been demonstrated as possible ways to interact with P/O devices [78-80].”
A Review on Lower Limb Rehabilitation Exoskeleton Robots
Shi, D., Zhang, W., Zhang, W., & Ding, X. (2019) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-019-0389-8 · Cited by 508
Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments
Rodríguez-Fernández, A., Lobo-Prat, J., & Font-Llagunes, J. M. (2021) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-021-00815-5 · Cited by 435
Bortole, M., Venkatakrishnan, A., Zhu, F., Moreno, J. C., Francisco, G. E., Pons, J. L., & Contreras-Vidal, J. L. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-015-0048-y · Cited by 347
Bio-inspired upper limb soft exoskeleton to reduce stroke-induced complications
Li, N., Yang, T., Yu, P., Chang, J., Zhao, L., Zhao, X., Elhajj, I. H., Xi, N., & Liu, L. (2018) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/aad8d4 · Cited by 92
Metadata
- Authors
- Farris, R. J., Quintero, H. A., & Goldfarb, M.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2011-12
- Volume
- 19
- Issue
- 6
- Pages
- 652-659
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2006355360
- Cited by
- 342
- References
- 26
- FWCI
- 12.22
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Preliminary Evaluation of a Powered Lower Limb Orthosis to Aid Walking in Paraplegic Individuals. https://app.cochat.ai/papers/10.1109/tnsre.2011.2163083
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- Farris, R. J., Quintero, H. A., & Goldfarb, M. (2011). Preliminary Evaluation of a Powered Lower Limb Orthosis to Aid Walking in Paraplegic Individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2011.2163083
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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.
