Effect of Walking Speeds on Complexity of Plantar Pressure Patterns

Various walking speeds may induce different responses on the plantar pressure patterns. Current methods used to analyze plantar pressure patterns are linear and ignore nonlinear features. The purpose of this study was to analyze the complexity of plantar pressure images after walking at various spee...

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Main Authors: Ben-Yi Liau, Fu-Lien Wu, Yameng Li, Chi-Wen Lung, Ayman A. Mohamed, Yih-Kuen Jan
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6571336
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author Ben-Yi Liau
Fu-Lien Wu
Yameng Li
Chi-Wen Lung
Ayman A. Mohamed
Yih-Kuen Jan
author_facet Ben-Yi Liau
Fu-Lien Wu
Yameng Li
Chi-Wen Lung
Ayman A. Mohamed
Yih-Kuen Jan
author_sort Ben-Yi Liau
collection DOAJ
description Various walking speeds may induce different responses on the plantar pressure patterns. Current methods used to analyze plantar pressure patterns are linear and ignore nonlinear features. The purpose of this study was to analyze the complexity of plantar pressure images after walking at various speeds using nonlinear bidimensional multiscale entropy (MSE2D). Twelve participants (age: 27.1 ± 5.8 years; height: 170.3 ± 10.0 cm; and weight: 63.5 ± 13.5 kg) were recruited for walking at three speeds (slow at 1.8 mph, moderate at 3.6 mph, and fast at 5.4 mph) for 20 minutes. A plantar pressure measurement system was used to measure plantar pressure patterns. Complexity index (CI), a summation of MSE2D from all time scales, was used to quantify the changes of complexity of plantar pressure images. The analysis of variance with repeated measures and Fisher’s least significant difference correction were used to examine the results of this study. The results showed that CI of plantar pressure images of 1.8 mph (1.780) was significantly lower compared with 3.6 (1.790) and 5.4 mph (1.792). The results also showed that CI significantly increased from the 1st min (1.780) to the 10th min (1.791) and 20th min (1.791) with slow walking (1.8 mph). Our results indicate that slow walking at 1.8 mph may not be good for postural control compared with moderate walking (3.6 mph) and fast walking (5.4 mph). This study demonstrates that bidimensional multiscale entropy is able to quantify complexity changes of plantar pressure images after different walking speeds.
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spelling doaj-art-3282c2212871412b965397607c4e2f822025-02-03T01:27:07ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/65713366571336Effect of Walking Speeds on Complexity of Plantar Pressure PatternsBen-Yi Liau0Fu-Lien Wu1Yameng Li2Chi-Wen Lung3Ayman A. Mohamed4Yih-Kuen Jan5Department of Biomedical Engineering, Hungkuang University, Taichung 433304, TaiwanRehabilitation Engineering Lab, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USACollege of Physical Education and Sports, Beijing Normal University, Beijing 100875, ChinaRehabilitation Engineering Lab, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USARehabilitation Engineering Lab, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USARehabilitation Engineering Lab, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL 61820, USAVarious walking speeds may induce different responses on the plantar pressure patterns. Current methods used to analyze plantar pressure patterns are linear and ignore nonlinear features. The purpose of this study was to analyze the complexity of plantar pressure images after walking at various speeds using nonlinear bidimensional multiscale entropy (MSE2D). Twelve participants (age: 27.1 ± 5.8 years; height: 170.3 ± 10.0 cm; and weight: 63.5 ± 13.5 kg) were recruited for walking at three speeds (slow at 1.8 mph, moderate at 3.6 mph, and fast at 5.4 mph) for 20 minutes. A plantar pressure measurement system was used to measure plantar pressure patterns. Complexity index (CI), a summation of MSE2D from all time scales, was used to quantify the changes of complexity of plantar pressure images. The analysis of variance with repeated measures and Fisher’s least significant difference correction were used to examine the results of this study. The results showed that CI of plantar pressure images of 1.8 mph (1.780) was significantly lower compared with 3.6 (1.790) and 5.4 mph (1.792). The results also showed that CI significantly increased from the 1st min (1.780) to the 10th min (1.791) and 20th min (1.791) with slow walking (1.8 mph). Our results indicate that slow walking at 1.8 mph may not be good for postural control compared with moderate walking (3.6 mph) and fast walking (5.4 mph). This study demonstrates that bidimensional multiscale entropy is able to quantify complexity changes of plantar pressure images after different walking speeds.http://dx.doi.org/10.1155/2021/6571336
spellingShingle Ben-Yi Liau
Fu-Lien Wu
Yameng Li
Chi-Wen Lung
Ayman A. Mohamed
Yih-Kuen Jan
Effect of Walking Speeds on Complexity of Plantar Pressure Patterns
Complexity
title Effect of Walking Speeds on Complexity of Plantar Pressure Patterns
title_full Effect of Walking Speeds on Complexity of Plantar Pressure Patterns
title_fullStr Effect of Walking Speeds on Complexity of Plantar Pressure Patterns
title_full_unstemmed Effect of Walking Speeds on Complexity of Plantar Pressure Patterns
title_short Effect of Walking Speeds on Complexity of Plantar Pressure Patterns
title_sort effect of walking speeds on complexity of plantar pressure patterns
url http://dx.doi.org/10.1155/2021/6571336
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