A model identification approach to quantify impact of whole-body vertical vibrations on limb compliant dynamics and walking stability.

Ankle–foot orthosis Dynamic stability Gait Limb contractile properties Loading and unloading phases Vertical impacts Wearable devices

Journal

Medical engineering & physics
ISSN: 1873-4030
Titre abrégé: Med Eng Phys
Pays: England
ID NLM: 9422753

Informations de publication

Date de publication:
06 2020
Historique:
received: 01 08 2019
revised: 26 01 2020
accepted: 05 04 2020
pubmed: 27 5 2020
medline: 19 8 2021
entrez: 27 5 2020
Statut: ppublish

Résumé

Extensive research is ongoing in the field of orthoses/exoskeleton design for efficient lower limbs assistance. However, despite wearable devices reported to improve lower limb mobility, their structural impacts on whole-body vertical dynamics have not been investigated. This study introduced a model identification approach and frequency domain analysis to quantify the impacts of orthosis-generated vibrations on limb stability and contractile dynamics. Experiments were recorded in the motion capture lab using 11 unimpaired subjects by wearing an adjustable ankle-foot orthosis (AFO). The lower limb musculoskeletal structure was identified as spring-mass (SM) and spring-mass-damper (SMD) based compliant models using the whole-body centre-of-mass acceleration data. Furthermore, Nyquist and Bode methods were implemented to quantify stabilities resulting from vertical impacts. Our results illustrated a significant decrease (p < 0.05) in lower limb contractile properties by wearing AFO compared with a normal walk. Also, stability margins quantified by wearing AFO illustrated a significant variance in terms of gain-margins (p < 0.05) for both loading and unloading phases whereas phase-margins decreased (p < 0.05) only for the respective unloading phases. The methods introduced here provide evidence that wearable orthoses significantly affect lower limb vertical dynamics and should be considered when evaluating orthosis/prosthesis/exoskeleton effectiveness.

Identifiants

pubmed: 32451270
pii: S1350-4533(20)30054-0
doi: 10.1016/j.medengphy.2020.04.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8-17

Informations de copyright

Copyright © 2020. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

Imran Mahmood (I)

Institute of Design, Robotics, and Optimisation, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom. Electronic address: mnim@leeds.ac.uk.

Uriel Martinez-Hernandez (U)

Department of Electronics and Electrical Engineering, Faculty of Engineering and Design, University of Bath, Bath, United Kingdom.

Abbas A Dehghani-Sanij (AA)

Institute of Design, Robotics, and Optimisation, School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT, United Kingdom.

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