Literature DB >> 26490321

We-Measure: Toward a low-cost portable posturography for patients with multiple sclerosis using the commercial Wii balance board.

Letizia Castelli1, Luca Stocchi2, Maurizio Patrignani2, Giovanni Sellitto1, Manuela Giuliani3, Luca Prosperini4.   

Abstract

This study was aimed at investigating whether postural sway measures derived from a standard force platform were similar to those generated by a custom-written software ("We-Measure") acquiring and processing data from a commercial Nintendo balance board (BB). For this purpose, 90 patients with multiple sclerosis (MS) and 50 healthy controls (HC) were tested in a single-day session with a reference standard force platform and a BB-based system. Despite its acceptable between-device agreement (tested by visual evaluation of Bland-Altman plot), the low-cost BB-based system tended to overestimate postural sway when compared to the reference standard force platform in both MS and HC groups (on average +30% and +54%, respectively). Between-device reliability was just adequate (MS: 66%, HC: 47%), while test-retest reliability was excellent (MS: 84%, HC: 88%). Concurrent validity evaluation showed similar performance between the reference standard force platform and the BB-based system in discriminating fallers and non-fallers among patients with MS. All these findings may encourage the use of this balance board-based new device in longitudinal study, rather than in cross-sectional design, thus providing a potential useful tool for multicenter settings.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Balance board; Force platform; Multiple sclerosis; Static posturography; Wii

Mesh:

Year:  2015        PMID: 26490321     DOI: 10.1016/j.jns.2015.10.016

Source DB:  PubMed          Journal:  J Neurol Sci        ISSN: 0022-510X            Impact factor:   3.181


  10 in total

1.  Test-retest reliability of the Wii Balance Board for assessing standing balance in young people with intellectual disability.

Authors:  R I Martínez-Lemos; Cárlos Ayán-Pérez; Sara Bouzas-Rico
Journal:  Int J Dev Disabil       Date:  2017-12-18

Review 2.  Technologies for Advanced Gait and Balance Assessments in People with Multiple Sclerosis.

Authors:  Camille J Shanahan; Frederique M C Boonstra; L Eduardo Cofré Lizama; Myrte Strik; Bradford A Moffat; Fary Khan; Trevor J Kilpatrick; Anneke van der Walt; Mary P Galea; Scott C Kolbe
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

3.  Use of Nintendo Wii Balance Board for posturographic analysis of Multiple Sclerosis patients with minimal balance impairment.

Authors:  Giacomo Severini; Sofia Straudi; Claudia Pavarelli; Marco Da Roit; Carlotta Martinuzzi; Laura Di Marco Pizzongolo; Nino Basaglia
Journal:  J Neuroeng Rehabil       Date:  2017-03-11       Impact factor: 4.262

Review 4.  Spotlight on postural control in patients with multiple sclerosis.

Authors:  Luca Prosperini; Letizia Castelli
Journal:  Degener Neurol Neuromuscul Dis       Date:  2018-04-03

5.  Comparative analysis of postural control and vertical jump performance between three different measurement devices.

Authors:  Christopher Blosch; Robin Schäfer; Markus de Marées; Petra Platen
Journal:  PLoS One       Date:  2019-09-12       Impact factor: 3.240

6.  Validity and Reliability of the Wii Balance Board for Static Balance Assessment in Healthy Young Adults.

Authors:  Kitchana Kaewkaen; Suraphong Uthama; Worasak Ruengsirarak; Rungthip Puntumetakul
Journal:  Malays J Med Sci       Date:  2019-04-30

7.  Equimetrix Device: Criteria Based Validation and Reliability Analysis of the Center of Mass and Base of Support of a Human Postural Assessment System.

Authors:  Pedro Fonseca; Manoela Sousa; Ricardo Sebastião; Márcio Goethel; Pierre Barralon; Igone Idigoras; Filipa Sousa; Leandro Machado; João Paulo Vilas-Boas
Journal:  Sensors (Basel)       Date:  2021-01-07       Impact factor: 3.576

8.  Revealing posturographic profile of patients with Parkinsonian syndromes through a novel hypothesis testing framework based on machine learning.

Authors:  Ioannis Bargiotas; Argyris Kalogeratos; Myrto Limnios; Pierre-Paul Vidal; Damien Ricard; Nicolas Vayatis
Journal:  PLoS One       Date:  2021-02-25       Impact factor: 3.240

9.  A Non Linear Scoring Approach for Evaluating Balance: Classification of Elderly as Fallers and Non-Fallers.

Authors:  Julien Audiffren; Ioannis Bargiotas; Nicolas Vayatis; Pierre-Paul Vidal; Damien Ricard
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

10.  On the importance of local dynamics in statokinesigram: A multivariate approach for postural control evaluation in elderly.

Authors:  Ioannis Bargiotas; Julien Audiffren; Nicolas Vayatis; Pierre-Paul Vidal; Stephane Buffat; Alain P Yelnik; Damien Ricard
Journal:  PLoS One       Date:  2018-02-23       Impact factor: 3.240

  10 in total

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