Literature DB >> 8478345

Nonstationary properties of postural sway.

J P Carroll1, W Freedman.   

Abstract

Postural sway during quite stance is usually assumed to be a stationary stochastic process. We tested this assumption by investigating the time invariance of the average value and variance of the postural sway of three subjects. The sway was measured with a force plate under three conditions: subject standing on two feet with eyes open; subject standing on two feet with eyes closed; and subject standing on one foot with eyes open. Data were collected in 1 min runs. More than 50 min of data were collected for each subject under each test condition. The data were averaged across all runs for each subject and condition. Trends were found to be present in the data. In addition, there were initial transient increases in the second-order moments about the trends. The transient changes in first- and second-order moments usually disappeared during the first 20 s. In light of these findings, we can reject the hypothesis that postural sway is a stationary process. The results imply that the usual methods to parameterize postural sway have to be either changed or reinterpreted.

Mesh:

Year:  1993        PMID: 8478345     DOI: 10.1016/0021-9290(93)90004-x

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  27 in total

1.  Analysis of postural sway using entropy measures of signal complexity.

Authors:  A M Sabatini
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2.  Arousal, valence and their relative effects on postural control.

Authors:  Brian C Horslen; Mark G Carpenter
Journal:  Exp Brain Res       Date:  2011-09-27       Impact factor: 1.972

3.  Structural changes in postural sway lend insight into effects of balance training, vision, and support surface on postural control in a healthy population.

Authors:  Adam J Strang; Joshua Haworth; Mathias Hieronymus; Mark Walsh; L James Smart
Journal:  Eur J Appl Physiol       Date:  2010-12-17       Impact factor: 3.078

Review 4.  A nonlinear dynamic approach for evaluating postural control: new directions for the management of sport-related cerebral concussion.

Authors:  James T Cavanaugh; Kevin M Guskiewicz; Nicholas Stergiou
Journal:  Sports Med       Date:  2005       Impact factor: 11.136

5.  Multisensory information for postural control: sway-referencing gain shapes center of pressure variability and temporal dynamics.

Authors:  Sean Clark; Michael A Riley
Journal:  Exp Brain Res       Date:  2007-01       Impact factor: 1.972

6.  Stabilometric signal analysis in tests with sound stimuli.

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Journal:  Exp Brain Res       Date:  2007-03-13       Impact factor: 1.972

7.  Process stationarity and reliability of trunk postural stability.

Authors:  HyunWook Lee; Kevin P Granata
Journal:  Clin Biomech (Bristol, Avon)       Date:  2008-03-04       Impact factor: 2.063

8.  Multiple timescales in postural dynamics associated with vision and a secondary task are revealed by wavelet analysis.

Authors:  James R Chagdes; Shirley Rietdyk; Jeff M Haddad; Howard N Zelaznik; Arvind Raman; Christopher K Rhea; Tobin A Silver
Journal:  Exp Brain Res       Date:  2009-07-04       Impact factor: 1.972

9.  Stochastic processes in postural center-of-pressure profiles.

Authors:  K M Newell; S M Slobounov; E S Slobounova; P C Molenaar
Journal:  Exp Brain Res       Date:  1997-01       Impact factor: 1.972

10.  The effect of age on postural and cognitive task performance while using vibrotactile feedback.

Authors:  Chia-Cheng Lin; Susan L Whitney; Patrick J Loughlin; Joseph M Furman; Mark S Redfern; Kathleen H Sienko; Patrick J Sparto
Journal:  J Neurophysiol       Date:  2015-01-14       Impact factor: 2.714

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