Preprint Article Version 1 This version is not peer-reviewed

The Static Standing Postural Stability Measured by Average Entropy

Version 1 : Received: 23 October 2019 / Approved: 29 October 2019 / Online: 29 October 2019 (10:01:12 CET)

How to cite: Wei, S.; Hsu, C.F.; LEE, Y.; Hsu, L.; Chi, S. The Static Standing Postural Stability Measured by Average Entropy. Preprints 2019, 2019100326 (doi: 10.20944/preprints201910.0326.v1). Wei, S.; Hsu, C.F.; LEE, Y.; Hsu, L.; Chi, S. The Static Standing Postural Stability Measured by Average Entropy. Preprints 2019, 2019100326 (doi: 10.20944/preprints201910.0326.v1).

Abstract

Static standing postural stability has been measured by multiscale entropy (MSE), which is used to measure complexity. In this study, we used the average entropy (AE) to measure the static standing postural stability, as AE is a good measure of disorder. The center of pressure (COP) trajectories were collected from 11 subjects under four kinds of balance situation, from stable to unstable: bipedal with open eyes, bipedal with closed eyes, unipedal with open eyes, and unipedal with closed eyes. The AE, entropy of entropy (EoE), and MSE methods were used to analyze these COP data, and EoE was found to be a good measure of complexity. The AE of the 11 subjects sequentially increased by 100%as the balance situations progressed from stable to unstable, but the results of EoE and MSE did not follow this trend. Therefore, AE, rather than EoE or MSE, is a good measure of static standing postural stability. Furthermore, the comparison of EoE and AE plots exhibited an inverted U curve, which is another example of a complexity versus disorder inverted U curve.

Subject Areas

center of pressure (cop); average entropy (ae); entropy of entropy (eoe); multiscale entropy (mse), inverted u curve; biological disorder; biological complexity

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