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The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index

The aim of this study is to see if the centre of pressure (COP) measurements on the postural stability can be used to represent the electromyography (EMG) measurement on the activity data of lower limb muscles. If so, the cost-effective COP data measurements can be used to indicate the level of post...

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Autores principales: Wang, Chien-Chih, Jiang, Bernard C., Huang, Pei-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512838/
https://www.ncbi.nlm.nih.gov/pubmed/33265410
http://dx.doi.org/10.3390/e20050320
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author Wang, Chien-Chih
Jiang, Bernard C.
Huang, Pei-Min
author_facet Wang, Chien-Chih
Jiang, Bernard C.
Huang, Pei-Min
author_sort Wang, Chien-Chih
collection PubMed
description The aim of this study is to see if the centre of pressure (COP) measurements on the postural stability can be used to represent the electromyography (EMG) measurement on the activity data of lower limb muscles. If so, the cost-effective COP data measurements can be used to indicate the level of postural stability and lower limb muscle activity. The Hilbert–Huang Transform method was used to analyse the data from the experimental designed to examine the correlation between lower-limb muscles and postural stability. We randomly selected 24 university students to participate in eight scenarios and simultaneously measured their COP and EMG signals during the experiments. The Empirical Mode Decomposition was used to identify the intrinsic-mode functions (IMF) that can distinguish between the COP and EMG at different states. Subsequently, similarity indices and synchronization analyses were used to calculate the correlation between the lower-limb muscle strength and the postural stability. The IMF5 of the COP signals and the IMF6 of the EMG signals were not significantly different and the average frequency was 0.8 Hz, with a range of 0–2 Hz. When the postural stability was poor, the COP and EMG had a high synchronization with index values within the range of 0.010–0.015. With good postural stability, the synchronization indices were between 0.006 and 0.080 and both exhibited low synchronization. The COP signals and the low frequency EMG signals were highly correlated. In conclusion, we demonstrated that the COP may provide enough information on postural stability without the EMG data.
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spelling pubmed-75128382020-11-09 The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index Wang, Chien-Chih Jiang, Bernard C. Huang, Pei-Min Entropy (Basel) Article The aim of this study is to see if the centre of pressure (COP) measurements on the postural stability can be used to represent the electromyography (EMG) measurement on the activity data of lower limb muscles. If so, the cost-effective COP data measurements can be used to indicate the level of postural stability and lower limb muscle activity. The Hilbert–Huang Transform method was used to analyse the data from the experimental designed to examine the correlation between lower-limb muscles and postural stability. We randomly selected 24 university students to participate in eight scenarios and simultaneously measured their COP and EMG signals during the experiments. The Empirical Mode Decomposition was used to identify the intrinsic-mode functions (IMF) that can distinguish between the COP and EMG at different states. Subsequently, similarity indices and synchronization analyses were used to calculate the correlation between the lower-limb muscle strength and the postural stability. The IMF5 of the COP signals and the IMF6 of the EMG signals were not significantly different and the average frequency was 0.8 Hz, with a range of 0–2 Hz. When the postural stability was poor, the COP and EMG had a high synchronization with index values within the range of 0.010–0.015. With good postural stability, the synchronization indices were between 0.006 and 0.080 and both exhibited low synchronization. The COP signals and the low frequency EMG signals were highly correlated. In conclusion, we demonstrated that the COP may provide enough information on postural stability without the EMG data. MDPI 2018-04-26 /pmc/articles/PMC7512838/ /pubmed/33265410 http://dx.doi.org/10.3390/e20050320 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Chien-Chih
Jiang, Bernard C.
Huang, Pei-Min
The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index
title The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index
title_full The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index
title_fullStr The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index
title_full_unstemmed The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index
title_short The Relationship between Postural Stability and Lower-Limb Muscle Activity Using an Entropy-Based Similarity Index
title_sort relationship between postural stability and lower-limb muscle activity using an entropy-based similarity index
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512838/
https://www.ncbi.nlm.nih.gov/pubmed/33265410
http://dx.doi.org/10.3390/e20050320
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