Analysis of Human Standing Balance by Largest Lyapunov Exponent

Joint Authors

Liu, Kun
Wang, Hongrui
Xiao, Jinzhuang
Taha, Zahari

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-03-18

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Biology

Abstract EN

The purpose of this research is to analyse the relationship between nonlinear dynamic character and individuals’ standing balance by the largest Lyapunov exponent, which is regarded as a metric for assessing standing balance.

According to previous study, the largest Lyapunov exponent from centre of pressure time series could not well quantify the human balance ability.

In this research, two improvements were made.

Firstly, an external stimulus was applied to feet in the form of continuous horizontal sinusoidal motion by a moving platform.

Secondly, a multiaccelerometer subsystem was adopted.

Twenty healthy volunteers participated in this experiment.

A new metric, coordinated largest Lyapunov exponent was proposed, which reflected the relationship of body segments by integrating multidimensional largest Lyapunov exponent values.

By using this metric in actual standing performance under sinusoidal stimulus, an obvious relationship between the new metric and the actual balance ability was found in the majority of the subjects.

These results show that the sinusoidal stimulus can make human balance characteristics more obvious, which is beneficial to assess balance, and balance is determined by the ability of coordinating all body segments.

American Psychological Association (APA)

Liu, Kun& Wang, Hongrui& Xiao, Jinzhuang& Taha, Zahari. 2015. Analysis of Human Standing Balance by Largest Lyapunov Exponent. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057667

Modern Language Association (MLA)

Liu, Kun…[et al.]. Analysis of Human Standing Balance by Largest Lyapunov Exponent. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057667

American Medical Association (AMA)

Liu, Kun& Wang, Hongrui& Xiao, Jinzhuang& Taha, Zahari. Analysis of Human Standing Balance by Largest Lyapunov Exponent. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057667

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1057667