Cargando…
Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics
INTRODUCTION: Efficient gait control using Functional Electrical Stimulation (FES) is an open research problem. In this research, a new intermittent controller has been designed to control the human shank movement dynamics during gait. METHODS: In this approach, first, the three-dimensional phase sp...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iranian Neuroscience Society
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253817/ https://www.ncbi.nlm.nih.gov/pubmed/32483471 http://dx.doi.org/10.32598/bcn.11.1.173.2 |
_version_ | 1783539406289764352 |
---|---|
author | Rezaee, Zohre Kobravi, Hamid Reza |
author_facet | Rezaee, Zohre Kobravi, Hamid Reza |
author_sort | Rezaee, Zohre |
collection | PubMed |
description | INTRODUCTION: Efficient gait control using Functional Electrical Stimulation (FES) is an open research problem. In this research, a new intermittent controller has been designed to control the human shank movement dynamics during gait. METHODS: In this approach, first, the three-dimensional phase space was constructed using the human shank movement data recorded from the healthy subjects. Then, three iterated sine-circle maps were extracted in the mentioned phase space. The three identified one-dimensional maps contained the essential information about the shank movement dynamics during a gait cycle. Next, an intermittent fuzzy controller was designed to control the shank angle. According to the adopted intermittent control strategy, the fuzzy controller is activated whenever the shank angle is far enough from the specific. The specific points are described using the identified iterated maps in the constructed phase space. In this manner, the designed controller is activated during a short-time fraction of the gait cycle time. RESULTS: The designed intermittent controller was evaluated through some simulation studies on a two-joint musculoskeletal model. The obtained results suggested that the pattern of the obtained hip and knee joint trajectories, the outputs of the musculoskeletal model, were acceptably similar to the joints’ trajectories pattern of healthy subjects. CONCLUSION: The intriguing similarity was observed between the dynamics of the recorded human data and those of the controlled musculoskeletal model. It supports the acceptable performance of the proposed control strategy. |
format | Online Article Text |
id | pubmed-7253817 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Iranian Neuroscience Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-72538172020-05-31 Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics Rezaee, Zohre Kobravi, Hamid Reza Basic Clin Neurosci Research Paper INTRODUCTION: Efficient gait control using Functional Electrical Stimulation (FES) is an open research problem. In this research, a new intermittent controller has been designed to control the human shank movement dynamics during gait. METHODS: In this approach, first, the three-dimensional phase space was constructed using the human shank movement data recorded from the healthy subjects. Then, three iterated sine-circle maps were extracted in the mentioned phase space. The three identified one-dimensional maps contained the essential information about the shank movement dynamics during a gait cycle. Next, an intermittent fuzzy controller was designed to control the shank angle. According to the adopted intermittent control strategy, the fuzzy controller is activated whenever the shank angle is far enough from the specific. The specific points are described using the identified iterated maps in the constructed phase space. In this manner, the designed controller is activated during a short-time fraction of the gait cycle time. RESULTS: The designed intermittent controller was evaluated through some simulation studies on a two-joint musculoskeletal model. The obtained results suggested that the pattern of the obtained hip and knee joint trajectories, the outputs of the musculoskeletal model, were acceptably similar to the joints’ trajectories pattern of healthy subjects. CONCLUSION: The intriguing similarity was observed between the dynamics of the recorded human data and those of the controlled musculoskeletal model. It supports the acceptable performance of the proposed control strategy. Iranian Neuroscience Society 2020 2020-01-01 /pmc/articles/PMC7253817/ /pubmed/32483471 http://dx.doi.org/10.32598/bcn.11.1.173.2 Text en Copyright© 2020 Iranian Neuroscience Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Rezaee, Zohre Kobravi, Hamid Reza Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics |
title | Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics |
title_full | Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics |
title_fullStr | Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics |
title_full_unstemmed | Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics |
title_short | Human Gait Control Using Functional Electrical Stimulation Based on Controlling the Shank Dynamics |
title_sort | human gait control using functional electrical stimulation based on controlling the shank dynamics |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253817/ https://www.ncbi.nlm.nih.gov/pubmed/32483471 http://dx.doi.org/10.32598/bcn.11.1.173.2 |
work_keys_str_mv | AT rezaeezohre humangaitcontrolusingfunctionalelectricalstimulationbasedoncontrollingtheshankdynamics AT kobravihamidreza humangaitcontrolusingfunctionalelectricalstimulationbasedoncontrollingtheshankdynamics |