The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
Open accessAbstract
Control schemes for powered ankle-foot prostheses rely upon fixed torque-ankle state relationships obtained from measurements of intact humans walking at target speeds and across known terrains. Although effective at their intended gait speed and terrain, these controllers do not allow for adaptation to environmental disturbances such as speed transients and terrain variation. Here we present an adaptive muscle-reflex controller, based on simulation studies, that utilizes an ankle plantar flexor comprising a Hill-type muscle with a positive force feedback reflex. The model's parameters were fitted to match the human ankle's torque-angle profile as obtained from level-ground walking measurements of a weight and height-matched intact subject walking at 1 m/s. Using this single parameter set, clinical trials were conducted with a transtibial amputee walking on level ground, ramp ascent, and ramp descent conditions. During these trials, an adaptation of prosthetic ankle work was observed in response to ground slope variation, in a manner comparable to intact subjects, without the difficulties of explicit terrain sensing. Specifically, the energy provided by the prosthesis was directly correlated to the ground slope angle. This study highlights the importance of neuromuscular controllers for enhancing the adaptiveness of powered prosthetic devices across varied terrain surfaces.
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Cites
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Energetics of Actively Powered Locomotion Using the Simplest Walking Model
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Energetic Consequences of Walking Like an Inverted Pendulum: Step-to-Step Transitions
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Geyer, H., & Herr, H. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2047592 · Cited by 627
Self-citationDesign and Control of a Powered Transfemoral Prosthesis
Sup, F., Bohara, A., & Goldfarb, M. (2008) · The International Journal of Robotics Research · doi:10.1177/0278364907084588 · Cited by 586
Biomechanical Motor Patterns in Normal Walking
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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
“in both terrain [172] and gait speed [190] in a transtibial prosthesis.”
Design and control of a bio-inspired soft wearable robotic device for ankle–foot rehabilitation
Park, Y.-L., Chen, B.-R., Pérez-Arancibia, N. O., Young, D., Stirling, L., Wood, R. J., Goldfield, E. C., & Nagpal, R. (2014) · Bioinspiration & Biomimetics · doi:10.1088/1748-3182/9/1/016007 · Cited by 497
Bionic ankle–foot prosthesis normalizes walking gait for persons with leg amputation
Herr, H. M., & Grabowski, A. M. (2012) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2011.1194 · Cited by 391
Self-citationSartori, M., Durandau, G., Došen, S., & Farina, D. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aae26b · Cited by 148
A review of current state-of-the-art control methods for lower-limb powered prostheses
Gehlhar, R., Tucker, M., Young, A. J., & Ames, A. D. (2023) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2023.03.003 · Cited by 131
Metadata
- Authors
- Eilenberg, M. F., Geyer, H., & Herr, H.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2010-04
- Volume
- 18
- Issue
- 2
- Pages
- 164-173
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2147809815
- Cited by
- 419
- References
- 30
- FWCI
- 10.01
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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