Literature DB >> 31959389

Comparison of a portable balance board for measures of persistence in postural sway.

Zachary S Meade1, Vivien Marmelat2, Mukul Mukherjee2, Takashi Sado2, Kota Z Takahashi3.   

Abstract

Measuring postural sway is important for determining functional ability or risk of falling. Gathering postural sway measures outside of controlled environments is desirable for reaching populations with limited mobility. Previous studies have confirmed the accuracy of the magnitude of postural sway using the Nintendo Wii Balance Board (WBB). However, it is unclear if the WBB can accurately measure persistence of postural sway, i.e., the pattern of center-of-pressure fluctuations over time. The purpose of this study was to compare measures of persistence of postural sway (through detrended fluctuation analysis) using WBB and a force platform (FP). Seventeen healthy individuals performed three standing conditions: eyes open, eyes closed, and one-leg standing. The WBB (30 Hz) was placed on top on the FP (600 Hz) to collect data simultaneously, then the FP data were downsampled to 100 Hz and 30 Hz. The agreement between WBB and FP for measures of postural sway were influenced by the sampling rate and postural sway direction. Intraclass correlation coefficient was excellent (range: 0.953-0.998) for long-term scaling regions in the anterior-posterior direction, but lower (range: 0.352-0.877) and inconsistent for medial-lateral direction and short-term scaling regions. The three comparison groups (WBB at 30 Hz, FP at 30 Hz, and FP at 100 Hz) showed dissimilar abilities in detecting differences in persistence of postural sway. In summary, the WBB is accurate for quantifying persistence of postural sway measurements in long-term scaling regions in the AP direction, but has limitations for short-term scaling regions and the ML direction.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Center of pressure; Detrended fluctuation analysis; Nintendo; Variability; Wii Balance Board

Mesh:

Year:  2020        PMID: 31959389      PMCID: PMC7343580          DOI: 10.1016/j.jbiomech.2020.109600

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


  30 in total

1.  Assessing and training standing balance in older adults: a novel approach using the 'Nintendo Wii' Balance Board.

Authors:  William Young; Stuart Ferguson; Sébastien Brault; Cathy Craig
Journal:  Gait Posture       Date:  2010-11-18       Impact factor: 2.840

2.  Validity and reliability of the Nintendo Wii Balance Board for assessment of standing balance.

Authors:  Ross A Clark; Adam L Bryant; Yonghao Pua; Paul McCrory; Kim Bennell; Michael Hunt
Journal:  Gait Posture       Date:  2009-12-11       Impact factor: 2.840

3.  An empirical examination of detrended fluctuation analysis for gait data.

Authors:  Sotirios Damouras; Matthew D Chang; Ervin Sejdić; Tom Chau
Journal:  Gait Posture       Date:  2010-01-13       Impact factor: 2.840

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

Authors:  Troy J Rand; Sara A Myers; Anastasia Kyvelidou; Mukul Mukherjee
Journal:  Ann Biomed Eng       Date:  2015-05-21       Impact factor: 3.934

5.  Interpretation of postural control may change due to data processing techniques.

Authors:  Christopher K Rhea; Adam W Kiefer; W Geoffrey Wright; Louisa D Raisbeck; F Jay Haran
Journal:  Gait Posture       Date:  2015-02-07       Impact factor: 2.840

6.  Comparison of a laboratory grade force platform with a Nintendo Wii Balance Board on measurement of postural control in single-leg stance balance tasks.

Authors:  Arnold Huurnink; Duncan P Fransz; Idsart Kingma; Jaap H van Dieën
Journal:  J Biomech       Date:  2013-03-22       Impact factor: 2.712

7.  Validation of the Balance Board for Clinical Evaluation of Balance During Serious Gaming Rehabilitation Exercises.

Authors:  Bruno Bonnechère; Bart Jansen; Lubos Omelina; Victor Sholukha; Serge Van Sint Jan
Journal:  Telemed J E Health       Date:  2016-03-16       Impact factor: 3.536

8.  Age-related changes in the range and velocity of postural sway.

Authors:  Danuta Roman-Liu
Journal:  Arch Gerontol Geriatr       Date:  2018-04-09       Impact factor: 3.250

9.  Noise and complexity in human postural control: interpreting the different estimations of entropy.

Authors:  Christopher K Rhea; Tobin A Silver; S Lee Hong; Joong Hyun Ryu; Breanna E Studenka; Charmayne M L Hughes; Jeffrey M Haddad
Journal:  PLoS One       Date:  2011-03-17       Impact factor: 3.240

10.  The Complexity of Standing Postural Sway Associates with Future Falls in Community-Dwelling Older Adults: The MOBILIZE Boston Study.

Authors:  Junhong Zhou; Daniel Habtemariam; Ikechukwu Iloputaife; Lewis A Lipsitz; Brad Manor
Journal:  Sci Rep       Date:  2017-06-07       Impact factor: 4.379

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