The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods
Treadmills are widely used to recover walking function in the rehabilitation field for those patients with gait disorders. Nevertheless, the ultimate goal of walking function recovery is to walk on the ground rather than on the treadmill. This study aims to determine the effect of treadmill walking...
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doaj-0ff360820cc5410fbdcfa03735b423d82020-11-24T21:45:16ZengMDPI AGSensors1424-82202019-05-01199220410.3390/s19092204s19092204The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis MethodsLiang Shi0Feng Duan1Yikang Yang2Zhe Sun3College of Artificial Intelligence, Nankai University, Tianjin 300350, ChinaCollege of Artificial Intelligence, Nankai University, Tianjin 300350, ChinaCollege of Artificial Intelligence, Nankai University, Tianjin 300350, ChinaComputational Engineering Applications Unit, Head Office for Information Systems and Cybersecurity, RIKEN, Saitama 351-0198, JapanTreadmills are widely used to recover walking function in the rehabilitation field for those patients with gait disorders. Nevertheless, the ultimate goal of walking function recovery is to walk on the ground rather than on the treadmill. This study aims to determine the effect of treadmill walking on gait and upper trunk movement characteristics using wearable sensors. Eight healthy male subjects are recruited to perform 420-m straight overground walking (OW) and 5 min treadmill walking (TW), wearing 3 inertial measurement units and a pair of insole sensors. In addition to common linear features, nonlinear features, which contains sample entropy, maximal Lyapunov exponent and fractal dynamic of stride intervals (detrended fluctuation analysis), are used to compare the difference between TW and OW condition. Canonical correlation analysis is also used to indicate the correlation between upper trunk movement characteristics and gait features in the aspects of spatiotemporal parameters and gait dynamic features. The experimental results show that the treadmill can cause a shorter stride length, less stride time and worsen long-range correlation of stride intervals. And the treadmill can significantly increase the stability for both gait and upper trunk, while it can significantly reduce gait regularity during swing phase. Canonical correlation analysis results show that treadmill can reduce the correlation between gait and upper trunk features. One possible interpretation of these results is that people tend to walk more cautiously to prevent the risk of falling and neglect the coordination between gait and upper trunk when walking on the treadmill. This study can provide fundamental insightful information about the effect of treadmill walking on gait and upper trunk to support future similar studies.https://www.mdpi.com/1424-8220/19/9/2204treadmill walkingwearable sensorsgait analysisupper trunk analysislinear and nonlinear featurescorrelation analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liang Shi Feng Duan Yikang Yang Zhe Sun |
spellingShingle |
Liang Shi Feng Duan Yikang Yang Zhe Sun The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods Sensors treadmill walking wearable sensors gait analysis upper trunk analysis linear and nonlinear features correlation analysis |
author_facet |
Liang Shi Feng Duan Yikang Yang Zhe Sun |
author_sort |
Liang Shi |
title |
The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods |
title_short |
The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods |
title_full |
The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods |
title_fullStr |
The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods |
title_full_unstemmed |
The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods |
title_sort |
effect of treadmill walking on gait and upper trunk through linear and nonlinear analysis methods |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2019-05-01 |
description |
Treadmills are widely used to recover walking function in the rehabilitation field for those patients with gait disorders. Nevertheless, the ultimate goal of walking function recovery is to walk on the ground rather than on the treadmill. This study aims to determine the effect of treadmill walking on gait and upper trunk movement characteristics using wearable sensors. Eight healthy male subjects are recruited to perform 420-m straight overground walking (OW) and 5 min treadmill walking (TW), wearing 3 inertial measurement units and a pair of insole sensors. In addition to common linear features, nonlinear features, which contains sample entropy, maximal Lyapunov exponent and fractal dynamic of stride intervals (detrended fluctuation analysis), are used to compare the difference between TW and OW condition. Canonical correlation analysis is also used to indicate the correlation between upper trunk movement characteristics and gait features in the aspects of spatiotemporal parameters and gait dynamic features. The experimental results show that the treadmill can cause a shorter stride length, less stride time and worsen long-range correlation of stride intervals. And the treadmill can significantly increase the stability for both gait and upper trunk, while it can significantly reduce gait regularity during swing phase. Canonical correlation analysis results show that treadmill can reduce the correlation between gait and upper trunk features. One possible interpretation of these results is that people tend to walk more cautiously to prevent the risk of falling and neglect the coordination between gait and upper trunk when walking on the treadmill. This study can provide fundamental insightful information about the effect of treadmill walking on gait and upper trunk to support future similar studies. |
topic |
treadmill walking wearable sensors gait analysis upper trunk analysis linear and nonlinear features correlation analysis |
url |
https://www.mdpi.com/1424-8220/19/9/2204 |
work_keys_str_mv |
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