Daniel Collado-Mateo1,2, Jose C Adsuar1, Pedro R Olivares3, Ricardo Cano-Plasencia2, Narcis Gusi1. 1. a University of Extremadura , Cáceres , Spain . 2. b San Pedro de Alcántara Hospital, Clinical Neurophysiology, Avda. Universidad s/n , Cáceres , Spain , and. 3. c Facultad de Educación , Universidad Autonoma de Chile , Talca , Chile.
Abstract
BACKGROUND: The analysis of brain activity during balance is an important topic in different fields of science. Given that all measurements involve an error that is caused by different agents, like the instrument, the researcher, or the natural human variability, a test-retest reliability evaluation of the electroencephalographic assessment is a needed starting point. However, there is a lack of information about the reliability of electroencephalographic measurements, especially in a new wireless device with dry electrodes. OBJECTIVE: The current study aims to analyze the reliability of electroencephalographic measurements from a wireless device using dry electrodes during two different balance tests. METHOD: Seventeen healthy male volunteers performed two different static balance tasks on a Biodex Balance Platform: (a) with two feet on the platform and (b) with one foot on the platform. Electroencephalographic data was recorded using Enobio (Neuroelectrics). The mean power spectrum of the alpha band of the central and frontal channels was calculated. Relative and absolute indices of reliability were also calculated. RESULTS: In general terms, the intraclass correlation coefficient (ICC) values of all the assessed channels can be classified as excellent (>0.90). The percentage standard error of measurement oscillated from 0.54% to 1.02% and the percentage smallest real difference ranged from 1.50% to 2.82%. CONCLUSION: Electroencephalographic assessment through an Enobio device during balance tasks has an excellent reliability. However, its utility was not demonstrated because responsiveness was not assessed.
BACKGROUND: The analysis of brain activity during balance is an important topic in different fields of science. Given that all measurements involve an error that is caused by different agents, like the instrument, the researcher, or the natural human variability, a test-retest reliability evaluation of the electroencephalographic assessment is a needed starting point. However, there is a lack of information about the reliability of electroencephalographic measurements, especially in a new wireless device with dry electrodes. OBJECTIVE: The current study aims to analyze the reliability of electroencephalographic measurements from a wireless device using dry electrodes during two different balance tests. METHOD: Seventeen healthy male volunteers performed two different static balance tasks on a Biodex Balance Platform: (a) with two feet on the platform and (b) with one foot on the platform. Electroencephalographic data was recorded using Enobio (Neuroelectrics). The mean power spectrum of the alpha band of the central and frontal channels was calculated. Relative and absolute indices of reliability were also calculated. RESULTS: In general terms, the intraclass correlation coefficient (ICC) values of all the assessed channels can be classified as excellent (>0.90). The percentage standard error of measurement oscillated from 0.54% to 1.02% and the percentage smallest real difference ranged from 1.50% to 2.82%. CONCLUSION: Electroencephalographic assessment through an Enobio device during balance tasks has an excellent reliability. However, its utility was not demonstrated because responsiveness was not assessed.
Entities:
Keywords:
Balance; EEG; motor control; power spectrum; reliability
Authors: Juan P Fuentes; Santos Villafaina; Daniel Collado-Mateo; Ricardo de la Vega; Narcis Gusi; Vicente Javier Clemente-Suárez Journal: J Med Syst Date: 2018-01-19 Impact factor: 4.460
Authors: Santos Villafaina; Carolina Sitges; Daniel Collado-Mateo; Juan P Fuentes-García; Narcis Gusi Journal: Medicine (Baltimore) Date: 2019-05 Impact factor: 1.817
Authors: Mari Carmen Gomez-Alvaro; Santos Villafaina; Juan Luis Leon-Llamas; Alvaro Murillo-Garcia; María Melo-Alonso; Jesús Sánchez-Gómez; Pablo Molero; Ricardo Cano-Plasencia; Narcis Gusi Journal: Behav Sci (Basel) Date: 2022-02-04
Authors: Santos Villafaina; Daniel Collado-Mateo; Juan P Fuentes-García; Ricardo Cano-Plasencia; Narcís Gusi Journal: Biomed Res Int Date: 2019-04-01 Impact factor: 3.411
Authors: Juan Pedro Fuentes-García; Santos Villafaina; Daniel Collado-Mateo; Ricardo Cano-Plasencia; Narcis Gusi Journal: Int J Environ Res Public Health Date: 2019-12-19 Impact factor: 3.390