Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters

Spring brake orthosis (SBO) concentrates purely on the knee to generate the swing phase of the paraplegic gait with the required hip flexion occurring passively as a consequence of the ipsilateral knee flexion, generated by releasing the torsion spring mounted at the knee joint. Electrical stimulati...

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Main Authors: M. S. Huq, M. O. Tokhi
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.3233/ABB-2012-0057
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author M. S. Huq
M. O. Tokhi
author_facet M. S. Huq
M. O. Tokhi
author_sort M. S. Huq
collection DOAJ
description Spring brake orthosis (SBO) concentrates purely on the knee to generate the swing phase of the paraplegic gait with the required hip flexion occurring passively as a consequence of the ipsilateral knee flexion, generated by releasing the torsion spring mounted at the knee joint. Electrical stimulation then drives the knee back to full extension, as well as restores the spring potential energy. In this paper, genetic algorithm (GA) and its variant multi-objective GA (MOGA) is used to perform the search operation for the ‘best’ spring parameters for the SBO spring mounted on an average sized subject simulated in the sagittal plane. Conventional torsion spring is tested against constant torque type spring in terms of swing duration as, based on first principles, it is hypothesized that constant torque spring would be able to produce slower SBO swing phase as might be preferred in assisted paraplegic gait. In line with the hypothesis, it is found that it is not possible to delay the occurrence of the flexion peak of the SBO swing phase further than its occurrence in the natural gait. The use of conventional torsion spring causes the swing knee flexion peak to appear rather faster than that of the natural gait, resulting in a potentially faster swing phase and hence gait cycle. The constant torque type spring on the other hand is able to stretch duration of the swing phase to some extent, rendering it the preferable spring type in SBO.
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spelling doaj-art-c8a9690978a34050afc963266d58a6aa2025-08-20T02:19:40ZengWileyApplied Bionics and Biomechanics1176-23221754-21032012-01-019330331610.3233/ABB-2012-0057Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring ParametersM. S. Huq0M. O. Tokhi1Department of Mechanical and Aerospace Engineering, Carleton University, Ottawa, ON, CanadaDepartment of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UKSpring brake orthosis (SBO) concentrates purely on the knee to generate the swing phase of the paraplegic gait with the required hip flexion occurring passively as a consequence of the ipsilateral knee flexion, generated by releasing the torsion spring mounted at the knee joint. Electrical stimulation then drives the knee back to full extension, as well as restores the spring potential energy. In this paper, genetic algorithm (GA) and its variant multi-objective GA (MOGA) is used to perform the search operation for the ‘best’ spring parameters for the SBO spring mounted on an average sized subject simulated in the sagittal plane. Conventional torsion spring is tested against constant torque type spring in terms of swing duration as, based on first principles, it is hypothesized that constant torque spring would be able to produce slower SBO swing phase as might be preferred in assisted paraplegic gait. In line with the hypothesis, it is found that it is not possible to delay the occurrence of the flexion peak of the SBO swing phase further than its occurrence in the natural gait. The use of conventional torsion spring causes the swing knee flexion peak to appear rather faster than that of the natural gait, resulting in a potentially faster swing phase and hence gait cycle. The constant torque type spring on the other hand is able to stretch duration of the swing phase to some extent, rendering it the preferable spring type in SBO.http://dx.doi.org/10.3233/ABB-2012-0057
spellingShingle M. S. Huq
M. O. Tokhi
Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters
Applied Bionics and Biomechanics
title Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters
title_full Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters
title_fullStr Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters
title_full_unstemmed Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters
title_short Genetic Algorithms Based Approach for Designing Spring Brake Orthosis – Part I: Spring Parameters
title_sort genetic algorithms based approach for designing spring brake orthosis part i spring parameters
url http://dx.doi.org/10.3233/ABB-2012-0057
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