Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model

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 adaptatio...

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Glavni autori: Geyer, Hartmut, Eilenberg, Michael Frederick, Herr, Hugh M
Daljnji autori: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Članak
Jezik:en_US
Izdano: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online pristup:http://hdl.handle.net/1721.1/68999
https://orcid.org/0000-0001-8768-7068
https://orcid.org/0000-0003-3169-1011
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author Geyer, Hartmut
Eilenberg, Michael Frederick
Herr, Hugh M
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Geyer, Hartmut
Eilenberg, Michael Frederick
Herr, Hugh M
author_sort Geyer, Hartmut
collection MIT
description 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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spelling mit-1721.1/689992022-09-29T13:26:01Z Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model Geyer, Hartmut Eilenberg, Michael Frederick Herr, Hugh M Massachusetts Institute of Technology. Department of Mechanical Engineering Program in Media Arts and Sciences (Massachusetts Institute of Technology) Herr, Hugh M. Eilenberg, Michael Frederick Herr, Hugh M. 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. United States. Veterans Administration (Grant VA241-P-0026) Marie Curie International Fellowship (MOIF-CT-20052-022244) United States. Army. Telemedicine & Advanced Technology Research Center (Grant W81XWH-07-1-0343) 2012-02-01T20:21:43Z 2012-02-01T20:21:43Z 2010-04 2009-07 Article http://purl.org/eprint/type/JournalArticle 1534-4320 1558-0210 http://hdl.handle.net/1721.1/68999 Eilenberg, Michael F, Hartmut Geyer, and Hugh Herr. “Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 18.2 (2010): 164-173. Web. 1 Feb. 2012. © 2010 Institute of Electrical and Electronics Engineers https://orcid.org/0000-0001-8768-7068 https://orcid.org/0000-0003-3169-1011 en_US http://dx.doi.org/10.1109/tnsre.2009.2039620 IEEE Transactions on Neural Systems and Rehabilitation Engineering Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE
spellingShingle Geyer, Hartmut
Eilenberg, Michael Frederick
Herr, Hugh M
Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
title Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
title_full Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
title_fullStr Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
title_full_unstemmed Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
title_short Control of a Powered Ankle–Foot Prosthesis Based on a Neuromuscular Model
title_sort control of a powered ankle foot prosthesis based on a neuromuscular model
url http://hdl.handle.net/1721.1/68999
https://orcid.org/0000-0001-8768-7068
https://orcid.org/0000-0003-3169-1011
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