Literature DB >> 24931111

A characteristic pattern in the postural sway of unilateral vestibular impaired patients.

Mitsuhiro Aoki1, Takashi Tokita2, Bunya Kuze2, Keisuke Mizuta2, Yatsuji Ito2.   

Abstract

The statistical properties of the center of pressure (COP) change over time, and -invariant methods of the COP analysis is not sufficient to monitor the changes. Therefore, dynamic temporal information of the COP signals has been important in assessing the postural stability. The purpose of this study was to evaluate the characteristic pattern of time-frequency dynamics during the upright stance in patients with unilateral vestibular dysfunction (UVD). This study included 20 dizzy patients with UVD and age-matched 20 control subjects without any vestibular disorder. The COP signals were collected using a single standard force platform and a spectral analysis including the time-frequency dynamics was carried out on the basis of the maximum entropy method (MEM) by using a segment time series analysis. The power spectral density (PSD) analysis exhibited an exponential decreasing shape (1/f (-)(β)) when plotted on a double logarithmic scale. The average value of β in the low frequency range of less than 1 Hz in the UVD group was significantly lower than that in the control group (p < 0.05) in the medial-lateral (ML) direction under eyes closed condition. In the segment time series analysis, the peak frequency of the COP signals in the patients with UVD gradually converged to the frequency range of 0.1-0.2 Hz in the ML direction under EC condition. Our results suggest that the segment time series analysis of the COP signals can derive a characteristic pattern related to the UVD. It may indicate an increased reflexivity of the COP fluctuation by the UVD, resulting in inducing the instability.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Postural balance; Power spectral exponent; Segment time series analysis; Time–frequency analysis; Unilateral vestibular dysfunction

Mesh:

Year:  2014        PMID: 24931111     DOI: 10.1016/j.gaitpost.2014.05.013

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  5 in total

1.  The Multivariate Largest Lyapunov Exponent as an Age-Related Metric of Quiet Standing Balance.

Authors:  Kun Liu; Hongrui Wang; Jinzhuang Xiao
Journal:  Comput Math Methods Med       Date:  2015-05-12       Impact factor: 2.238

2.  Smooth enlargement of human standing sway by instability due to weak reaction floor and noise.

Authors:  Tetsuro Funato; Shinya Aoi; Nozomi Tomita; Kazuo Tsuchiya
Journal:  R Soc Open Sci       Date:  2016-01-06       Impact factor: 2.963

3.  A Neural Controller Model Considering the Vestibulospinal Tract in Human Postural Control.

Authors:  Yuichiro Omura; Kohei Kaminishi; Ryosuke Chiba; Kaoru Takakusaki; Jun Ota
Journal:  Front Comput Neurosci       Date:  2022-02-25       Impact factor: 2.380

4.  Static Balance in Patients with Vestibular Impairments: A Preliminary Study.

Authors:  Hossein Talebi; Mohammad Taghi Karimi; Seyed Hamid Reza Abtahi; Niloofar Fereshtenejad
Journal:  Scientifica (Cairo)       Date:  2016-06-09

5.  Postural control during quiet bipedal standing in rats.

Authors:  Tetsuro Funato; Yota Sato; Soichiro Fujiki; Yamato Sato; Shinya Aoi; Kazuo Tsuchiya; Dai Yanagihara
Journal:  PLoS One       Date:  2017-12-15       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.