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Is there a trade-off between economy and task goal variability in transfemoral amputee gait?

BACKGROUND: Energy cost minimization has been widely accepted to regulate gait. Optimization principles have been frequently used to explain how individuals adapt their gait pattern. However, there have been rare attempts to account for the role of variability in this optimization process. Motor red...

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Autores principales: Lee, I-Chieh, Fylstra, Bretta L., Liu, Ming, Lenzi, Tommaso, Huang, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932056/
https://www.ncbi.nlm.nih.gov/pubmed/35300696
http://dx.doi.org/10.1186/s12984-022-01004-8
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author Lee, I-Chieh
Fylstra, Bretta L.
Liu, Ming
Lenzi, Tommaso
Huang, He
author_facet Lee, I-Chieh
Fylstra, Bretta L.
Liu, Ming
Lenzi, Tommaso
Huang, He
author_sort Lee, I-Chieh
collection PubMed
description BACKGROUND: Energy cost minimization has been widely accepted to regulate gait. Optimization principles have been frequently used to explain how individuals adapt their gait pattern. However, there have been rare attempts to account for the role of variability in this optimization process. Motor redundancy can enable individuals to perform tasks reliably while achieving energy optimization. However, we do not know how the non-goal-equivalent and goal-equivalent variability is regulated. In this study, we investigated how unilateral transfemoral amputees regulate step and stride variability based on the task to achieve energy economy. METHODS: Nine individuals with unilateral transfemoral amputation walked on a treadmill at speeds of 0.6, 0.8, 1.0, 1.2 and 1.4 m/s using their prescribed passive prostheses. We calculated the step-to-step and stride-to-stride variability and applied goal equivalent manifold (GEM) based control to decompose goal-equivalent and non-goal-equivalent manifold. To quantify the energy economy, the energy recovery rate (R) was calculated based on potential energy and kinetic energy. Comparisons were made between GEM variabilities and commonly used standard deviation measurements. A linear regression model was used to investigate the trade-off between R and GEM variabilities. RESULTS: Our analysis shows greater variability along the goal-equivalent manifold compared to the non-goal-equivalent manifold (p < 0.001). Moreover, our analysis shows lower energy recovery rate for amputee gait compared to nonamputee gait (at least 20% less at faster walking speed). We found a negative relationship between energy recovery rate and non-goal-equivalent variability. Compared to the standard deviation measurements, the variability decomposed using GEM reflected the preferred walking speed and the limitation of the passive prosthetic device. CONCLUSION: Individuals with amputation cleverly leverage task redundancy, regulating step and stride variability to the GEM. This result suggests that task redundancy enables unilateral amputees to benefit from motor variability in terms of energy economy. The differences observed between prosthetic step and intact step support the development of prosthetic limbs capable of enhancing positive work during the double support phase and of powered prosthesis controllers that allow for variability along the task space while minimizing variability that interferes with the task goal. This study provides a different perspective on amputee gait analysis and challenges the field to think differently about the role of variability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-022-01004-8.
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spelling pubmed-89320562022-03-23 Is there a trade-off between economy and task goal variability in transfemoral amputee gait? Lee, I-Chieh Fylstra, Bretta L. Liu, Ming Lenzi, Tommaso Huang, He J Neuroeng Rehabil Research BACKGROUND: Energy cost minimization has been widely accepted to regulate gait. Optimization principles have been frequently used to explain how individuals adapt their gait pattern. However, there have been rare attempts to account for the role of variability in this optimization process. Motor redundancy can enable individuals to perform tasks reliably while achieving energy optimization. However, we do not know how the non-goal-equivalent and goal-equivalent variability is regulated. In this study, we investigated how unilateral transfemoral amputees regulate step and stride variability based on the task to achieve energy economy. METHODS: Nine individuals with unilateral transfemoral amputation walked on a treadmill at speeds of 0.6, 0.8, 1.0, 1.2 and 1.4 m/s using their prescribed passive prostheses. We calculated the step-to-step and stride-to-stride variability and applied goal equivalent manifold (GEM) based control to decompose goal-equivalent and non-goal-equivalent manifold. To quantify the energy economy, the energy recovery rate (R) was calculated based on potential energy and kinetic energy. Comparisons were made between GEM variabilities and commonly used standard deviation measurements. A linear regression model was used to investigate the trade-off between R and GEM variabilities. RESULTS: Our analysis shows greater variability along the goal-equivalent manifold compared to the non-goal-equivalent manifold (p < 0.001). Moreover, our analysis shows lower energy recovery rate for amputee gait compared to nonamputee gait (at least 20% less at faster walking speed). We found a negative relationship between energy recovery rate and non-goal-equivalent variability. Compared to the standard deviation measurements, the variability decomposed using GEM reflected the preferred walking speed and the limitation of the passive prosthetic device. CONCLUSION: Individuals with amputation cleverly leverage task redundancy, regulating step and stride variability to the GEM. This result suggests that task redundancy enables unilateral amputees to benefit from motor variability in terms of energy economy. The differences observed between prosthetic step and intact step support the development of prosthetic limbs capable of enhancing positive work during the double support phase and of powered prosthesis controllers that allow for variability along the task space while minimizing variability that interferes with the task goal. This study provides a different perspective on amputee gait analysis and challenges the field to think differently about the role of variability. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12984-022-01004-8. BioMed Central 2022-03-18 /pmc/articles/PMC8932056/ /pubmed/35300696 http://dx.doi.org/10.1186/s12984-022-01004-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lee, I-Chieh
Fylstra, Bretta L.
Liu, Ming
Lenzi, Tommaso
Huang, He
Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
title Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
title_full Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
title_fullStr Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
title_full_unstemmed Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
title_short Is there a trade-off between economy and task goal variability in transfemoral amputee gait?
title_sort is there a trade-off between economy and task goal variability in transfemoral amputee gait?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932056/
https://www.ncbi.nlm.nih.gov/pubmed/35300696
http://dx.doi.org/10.1186/s12984-022-01004-8
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