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Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues

Walking performance is usually assessed by linear analysis of walking outcome measures. However, human movements consist of both linear and nonlinear complexity components. The purpose of this study was to use bidimensional multiscale entropy analysis of ultrasound images to evaluate the effects of...

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Autores principales: Liau, Ben-Yi, Wu, Fu-Lien, Zhang, Keying, Lung, Chi-Wen, Cao, Chunmei, Jan, Yih-Kuen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995977/
https://www.ncbi.nlm.nih.gov/pubmed/33668190
http://dx.doi.org/10.3390/e23030264
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author Liau, Ben-Yi
Wu, Fu-Lien
Zhang, Keying
Lung, Chi-Wen
Cao, Chunmei
Jan, Yih-Kuen
author_facet Liau, Ben-Yi
Wu, Fu-Lien
Zhang, Keying
Lung, Chi-Wen
Cao, Chunmei
Jan, Yih-Kuen
author_sort Liau, Ben-Yi
collection PubMed
description Walking performance is usually assessed by linear analysis of walking outcome measures. However, human movements consist of both linear and nonlinear complexity components. The purpose of this study was to use bidimensional multiscale entropy analysis of ultrasound images to evaluate the effects of various walking intensities on plantar soft tissues. Twelve participants were recruited to perform six walking protocols, consisting of three speeds (slow at 1.8 mph, moderate at 3.6 mph, and fast at 5.4 mph) for two durations (10 and 20 min). A B-mode ultrasound was used to assess plantar soft tissues before and after six walking protocols. Bidimensional multiscale entropy (MSE(2D)) and the Complexity Index (CI) were used to quantify the changes in irregularity of the ultrasound images of the plantar soft tissues. The results showed that the CI of ultrasound images after 20 min walking increased when compared to before walking (CI(4): 0.39 vs. 0.35; CI(5): 0.48 vs. 0.43, p < 0.05). When comparing 20 and 10 min walking protocols at 3.6 mph, the CI was higher after 20 min walking than after 10 min walking (CI(4): 0.39 vs. 0.36, p < 0.05; and CI(5): 0.48 vs. 0.44, p < 0.05). This is the first study to use bidimensional multiscale entropy analysis of ultrasound images to assess plantar soft tissues after various walking intensities.
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spelling pubmed-79959772021-03-27 Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues Liau, Ben-Yi Wu, Fu-Lien Zhang, Keying Lung, Chi-Wen Cao, Chunmei Jan, Yih-Kuen Entropy (Basel) Article Walking performance is usually assessed by linear analysis of walking outcome measures. However, human movements consist of both linear and nonlinear complexity components. The purpose of this study was to use bidimensional multiscale entropy analysis of ultrasound images to evaluate the effects of various walking intensities on plantar soft tissues. Twelve participants were recruited to perform six walking protocols, consisting of three speeds (slow at 1.8 mph, moderate at 3.6 mph, and fast at 5.4 mph) for two durations (10 and 20 min). A B-mode ultrasound was used to assess plantar soft tissues before and after six walking protocols. Bidimensional multiscale entropy (MSE(2D)) and the Complexity Index (CI) were used to quantify the changes in irregularity of the ultrasound images of the plantar soft tissues. The results showed that the CI of ultrasound images after 20 min walking increased when compared to before walking (CI(4): 0.39 vs. 0.35; CI(5): 0.48 vs. 0.43, p < 0.05). When comparing 20 and 10 min walking protocols at 3.6 mph, the CI was higher after 20 min walking than after 10 min walking (CI(4): 0.39 vs. 0.36, p < 0.05; and CI(5): 0.48 vs. 0.44, p < 0.05). This is the first study to use bidimensional multiscale entropy analysis of ultrasound images to assess plantar soft tissues after various walking intensities. MDPI 2021-02-24 /pmc/articles/PMC7995977/ /pubmed/33668190 http://dx.doi.org/10.3390/e23030264 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Liau, Ben-Yi
Wu, Fu-Lien
Zhang, Keying
Lung, Chi-Wen
Cao, Chunmei
Jan, Yih-Kuen
Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues
title Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues
title_full Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues
title_fullStr Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues
title_full_unstemmed Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues
title_short Using Bidimensional Multiscale Entropy Analysis of Ultrasound Images to Assess the Effect of Various Walking Intensities on Plantar Soft Tissues
title_sort using bidimensional multiscale entropy analysis of ultrasound images to assess the effect of various walking intensities on plantar soft tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995977/
https://www.ncbi.nlm.nih.gov/pubmed/33668190
http://dx.doi.org/10.3390/e23030264
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