Quantitative Electroencephalography: Cortical Responses under Different Postural Conditions

Signals Pub Date : 2023-10-18 DOI:10.3390/signals4040039
Marco Ivaldi, Lorenzo Giacometti, David Conversi
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引用次数: 0

Abstract

In this study, the alpha and beta spectral frequency bands and amplitudes of EEG signals recorded from 10 healthy volunteers using an experimental cap with neoprene jacketed electrodes were analysed. Background: One of the main limitations in the analysis of EEG signals during movement is the presence of artefacts due to cranial muscle contraction; the objectives of this study therefore focused on two main aspects: (1) validating a tool capable of decreasing movement artefacts, while developing a reliable method for the quantitative analysis of EEG data; (2) using this method to analyse the EEG signal recorded during a particular motor activity (bi- and monopodalic postural control). Methods: The EEG sampling frequency was 512 Hz; the signal was acquired on 16 channels with monopolar montage and the reference on Cz. The recorded signals were processed using a specifically written Matlab script and also by exploiting open-source software (Eeglab). Results: The procedure used showed excellent reliability, allowing for a significant decrease in movement artefacts even during motor tasks performed both with eyes open and with eyes closed. Conclusions: This preliminary study lays the foundation for correctly recording EEG signals as an additional source of information in the study of human movement.
定量脑电图:不同体位条件下的皮质反应
在这项研究中,我们分析了10名健康志愿者使用带有氯丁橡胶夹套电极的实验帽所记录的脑电图信号的α和β频谱频带和振幅。背景:运动过程中脑电图信号分析的主要限制之一是由于颅肌收缩而存在伪影;因此,本研究的目标主要集中在两个方面:(1)验证一种能够减少运动伪影的工具,同时开发一种可靠的脑电图数据定量分析方法;(2)利用该方法分析特定运动活动(双极性和单极性姿势控制)期间记录的脑电图信号。方法:脑电图采样频率为512 Hz;采用单极蒙太奇和Cz上的基准,在16通道上采集信号。记录的信号使用专门编写的Matlab脚本和利用开源软件(Eeglab)进行处理。结果:所使用的程序显示出极好的可靠性,即使在睁眼和闭眼进行运动任务时,也能显著减少运动伪影。结论:本初步研究为正确记录脑电图信号作为人体运动研究的附加信息源奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.20
自引率
0.00%
发文量
0
审稿时长
11 weeks
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