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Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study

Background: Gait analysis studies during robot-assisted walking have been predominantly focused on lower limb biomechanics. During robot-assisted walking, the users' interaction with the robot and their adaptations translate into altered gait mechanics. Hence, robust and objective metrics for q...

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Autores principales: Ramanujam, Arvind, Momeni, Kamyar, Ravi, Manikandan, Augustine, Jonathan, Garbarini, Erica, Barrance, Peter, Spungen, Ann M., Asselin, Pierre, Knezevic, Steven, Forrest, Gail F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805966/
https://www.ncbi.nlm.nih.gov/pubmed/33501335
http://dx.doi.org/10.3389/frobt.2020.574365
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author Ramanujam, Arvind
Momeni, Kamyar
Ravi, Manikandan
Augustine, Jonathan
Garbarini, Erica
Barrance, Peter
Spungen, Ann M.
Asselin, Pierre
Knezevic, Steven
Forrest, Gail F.
author_facet Ramanujam, Arvind
Momeni, Kamyar
Ravi, Manikandan
Augustine, Jonathan
Garbarini, Erica
Barrance, Peter
Spungen, Ann M.
Asselin, Pierre
Knezevic, Steven
Forrest, Gail F.
author_sort Ramanujam, Arvind
collection PubMed
description Background: Gait analysis studies during robot-assisted walking have been predominantly focused on lower limb biomechanics. During robot-assisted walking, the users' interaction with the robot and their adaptations translate into altered gait mechanics. Hence, robust and objective metrics for quantifying walking performance during robot-assisted gait are especially relevant as it relates to dynamic stability. In this study, we assessed bi-planar dynamic stability margins for healthy adults during robot-assisted walking using EksoGT™, ReWalk™, and Indego® compared to independent overground walking at slow, self-selected, and fast speeds. Further, we examined the use of forearm crutches and its influence on dynamic gait stability margins. Methods: Kinematic data were collected at 60 Hz under several walking conditions with and without the robotic exoskeleton for six healthy controls. Outcome measures included (i) whole-body center of mass (CoM) and extrapolated CoM (X(CoM)), (ii) base of support (BoS), (iii) margin of stability (MoS) with respect to both feet and bilateral crutches. Results: Stability outcomes during exoskeleton-assisted walking at self-selected, comfortable walking speeds were significantly (p < 0.05) different compared to overground walking at self-selected speeds. Unlike overground walking, the control mechanisms for stability using these exoskeletons were not related to walking speed. MoSs were lower during the single support phase of gait, especially in the medial–lateral direction for all devices. MoSs relative to feet were significantly (p < 0.05) lower than those relative to crutches. The spatial location of crutches during exoskeleton-assisted walking pushed the whole-body CoM, during single support, beyond the lateral boundary of the lead foot, increasing the risk for falls if crutch slippage were to occur. Conclusion: Careful consideration of crutch placement is critical to ensuring that the margins of stability are always within the limits of the BoS to control stability and decrease fall risk.
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spelling pubmed-78059662021-01-25 Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study Ramanujam, Arvind Momeni, Kamyar Ravi, Manikandan Augustine, Jonathan Garbarini, Erica Barrance, Peter Spungen, Ann M. Asselin, Pierre Knezevic, Steven Forrest, Gail F. Front Robot AI Robotics and AI Background: Gait analysis studies during robot-assisted walking have been predominantly focused on lower limb biomechanics. During robot-assisted walking, the users' interaction with the robot and their adaptations translate into altered gait mechanics. Hence, robust and objective metrics for quantifying walking performance during robot-assisted gait are especially relevant as it relates to dynamic stability. In this study, we assessed bi-planar dynamic stability margins for healthy adults during robot-assisted walking using EksoGT™, ReWalk™, and Indego® compared to independent overground walking at slow, self-selected, and fast speeds. Further, we examined the use of forearm crutches and its influence on dynamic gait stability margins. Methods: Kinematic data were collected at 60 Hz under several walking conditions with and without the robotic exoskeleton for six healthy controls. Outcome measures included (i) whole-body center of mass (CoM) and extrapolated CoM (X(CoM)), (ii) base of support (BoS), (iii) margin of stability (MoS) with respect to both feet and bilateral crutches. Results: Stability outcomes during exoskeleton-assisted walking at self-selected, comfortable walking speeds were significantly (p < 0.05) different compared to overground walking at self-selected speeds. Unlike overground walking, the control mechanisms for stability using these exoskeletons were not related to walking speed. MoSs were lower during the single support phase of gait, especially in the medial–lateral direction for all devices. MoSs relative to feet were significantly (p < 0.05) lower than those relative to crutches. The spatial location of crutches during exoskeleton-assisted walking pushed the whole-body CoM, during single support, beyond the lateral boundary of the lead foot, increasing the risk for falls if crutch slippage were to occur. Conclusion: Careful consideration of crutch placement is critical to ensuring that the margins of stability are always within the limits of the BoS to control stability and decrease fall risk. Frontiers Media S.A. 2020-12-09 /pmc/articles/PMC7805966/ /pubmed/33501335 http://dx.doi.org/10.3389/frobt.2020.574365 Text en Copyright © 2020 Ramanujam, Momeni, Ravi, Augustine, Garbarini, Barrance, Spungen, Asselin, Knezevic and Forrest. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Ramanujam, Arvind
Momeni, Kamyar
Ravi, Manikandan
Augustine, Jonathan
Garbarini, Erica
Barrance, Peter
Spungen, Ann M.
Asselin, Pierre
Knezevic, Steven
Forrest, Gail F.
Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study
title Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study
title_full Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study
title_fullStr Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study
title_full_unstemmed Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study
title_short Dynamic Margins of Stability During Robot-Assisted Walking in Able-Bodied Individuals: A Preliminary Study
title_sort dynamic margins of stability during robot-assisted walking in able-bodied individuals: a preliminary study
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805966/
https://www.ncbi.nlm.nih.gov/pubmed/33501335
http://dx.doi.org/10.3389/frobt.2020.574365
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