Temporal Structure of Support Surface Translations Drive the Temporal Structure of Postural Control During Standing

Troy J. Rand, Sara A. Myers, Anastasia Kyvelidou, Mukul Mukherjee

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A healthy biological system is characterized by a temporal structure that exhibits fractal properties and is highly complex. Unhealthy systems demonstrate lowered complexity and either greater or less predictability in the temporal structure of a time series. The purpose of this research was to determine if support surface translations with different temporal structures would affect the temporal structure of the center of pressure (COP) signal. Eight healthy young participants stood on a force platform that was translated in the anteroposterior direction for input conditions of varying complexity: white noise, pink noise, brown noise, and sine wave. Detrended fluctuation analysis was used to characterize the long-range correlations of the COP time series in the AP direction. Repeated measures ANOVA revealed differences among conditions (p < 0.001). The less complex support surface translations resulted in a less complex COP compared to normal standing. A quadratic trend analysis demonstrated an inverted-u shape across an increasing order of predictability of the conditions (p < 0.001). The ability to influence the complexity of postural control through support surface translations can have important implications for rehabilitation.

Original languageEnglish (US)
Pages (from-to)2699-2707
Number of pages9
JournalAnnals of Biomedical Engineering
Volume43
Issue number11
DOIs
StatePublished - Nov 1 2015
Externally publishedYes

Fingerprint

Time series
Biological systems
White noise
Analysis of variance (ANOVA)
Patient rehabilitation
Fractals

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering

Cite this

Temporal Structure of Support Surface Translations Drive the Temporal Structure of Postural Control During Standing. / Rand, Troy J.; Myers, Sara A.; Kyvelidou, Anastasia; Mukherjee, Mukul.

In: Annals of Biomedical Engineering, Vol. 43, No. 11, 01.11.2015, p. 2699-2707.

Research output: Contribution to journalArticle

@article{f20fd48499eb40e09018bc883311f170,
title = "Temporal Structure of Support Surface Translations Drive the Temporal Structure of Postural Control During Standing",
abstract = "A healthy biological system is characterized by a temporal structure that exhibits fractal properties and is highly complex. Unhealthy systems demonstrate lowered complexity and either greater or less predictability in the temporal structure of a time series. The purpose of this research was to determine if support surface translations with different temporal structures would affect the temporal structure of the center of pressure (COP) signal. Eight healthy young participants stood on a force platform that was translated in the anteroposterior direction for input conditions of varying complexity: white noise, pink noise, brown noise, and sine wave. Detrended fluctuation analysis was used to characterize the long-range correlations of the COP time series in the AP direction. Repeated measures ANOVA revealed differences among conditions (p < 0.001). The less complex support surface translations resulted in a less complex COP compared to normal standing. A quadratic trend analysis demonstrated an inverted-u shape across an increasing order of predictability of the conditions (p < 0.001). The ability to influence the complexity of postural control through support surface translations can have important implications for rehabilitation.",
author = "Rand, {Troy J.} and Myers, {Sara A.} and Anastasia Kyvelidou and Mukul Mukherjee",
year = "2015",
month = "11",
day = "1",
doi = "10.1007/s10439-015-1336-1",
language = "English (US)",
volume = "43",
pages = "2699--2707",
journal = "Annals of Biomedical Engineering",
issn = "0090-6964",
publisher = "Springer Netherlands",
number = "11",

}

TY - JOUR

T1 - Temporal Structure of Support Surface Translations Drive the Temporal Structure of Postural Control During Standing

AU - Rand, Troy J.

AU - Myers, Sara A.

AU - Kyvelidou, Anastasia

AU - Mukherjee, Mukul

PY - 2015/11/1

Y1 - 2015/11/1

N2 - A healthy biological system is characterized by a temporal structure that exhibits fractal properties and is highly complex. Unhealthy systems demonstrate lowered complexity and either greater or less predictability in the temporal structure of a time series. The purpose of this research was to determine if support surface translations with different temporal structures would affect the temporal structure of the center of pressure (COP) signal. Eight healthy young participants stood on a force platform that was translated in the anteroposterior direction for input conditions of varying complexity: white noise, pink noise, brown noise, and sine wave. Detrended fluctuation analysis was used to characterize the long-range correlations of the COP time series in the AP direction. Repeated measures ANOVA revealed differences among conditions (p < 0.001). The less complex support surface translations resulted in a less complex COP compared to normal standing. A quadratic trend analysis demonstrated an inverted-u shape across an increasing order of predictability of the conditions (p < 0.001). The ability to influence the complexity of postural control through support surface translations can have important implications for rehabilitation.

AB - A healthy biological system is characterized by a temporal structure that exhibits fractal properties and is highly complex. Unhealthy systems demonstrate lowered complexity and either greater or less predictability in the temporal structure of a time series. The purpose of this research was to determine if support surface translations with different temporal structures would affect the temporal structure of the center of pressure (COP) signal. Eight healthy young participants stood on a force platform that was translated in the anteroposterior direction for input conditions of varying complexity: white noise, pink noise, brown noise, and sine wave. Detrended fluctuation analysis was used to characterize the long-range correlations of the COP time series in the AP direction. Repeated measures ANOVA revealed differences among conditions (p < 0.001). The less complex support surface translations resulted in a less complex COP compared to normal standing. A quadratic trend analysis demonstrated an inverted-u shape across an increasing order of predictability of the conditions (p < 0.001). The ability to influence the complexity of postural control through support surface translations can have important implications for rehabilitation.

UR - http://www.scopus.com/inward/record.url?scp=84945459514&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84945459514&partnerID=8YFLogxK

U2 - 10.1007/s10439-015-1336-1

DO - 10.1007/s10439-015-1336-1

M3 - Article

VL - 43

SP - 2699

EP - 2707

JO - Annals of Biomedical Engineering

JF - Annals of Biomedical Engineering

SN - 0090-6964

IS - 11

ER -