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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >Correlational analysis of electroencephalographic and end-tidal carbon dioxide signals during breath-hold exercise
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Correlational analysis of electroencephalographic and end-tidal carbon dioxide signals during breath-hold exercise

机译：呼吸持续运动期间脑电图和终潮数信号的相关性分析

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The central mechanism of breathing control is not totally understood. Several studies evaluated the correlation between electroencephalographic (EEG) power spectra and respiratory signals by performing resting state tasks or adopting hypercapnic/hypoxic stimuli. The observation of brain activity during voluntary breath hold tasks, might be an useful approach to highlight the areas involved in mechanism of breath regulation. Nevertheless, studies of brain activity with EEG could present some limitations due to presence of severe artifacts. When artifact rejection methods, as independent component analysis, cannot reliably clean EEG data, it is necessary to exclude noisy segments. In this study, global field power in the delta band and end-tidal CO2 were derived from EEG and CO2 signals respectively in 4 healthy subjects during a breath-hold task. The cross correlation function between the two signals was estimated taking into account the presence of missing samples. The statistical significance of the correlation coefficients at different time lags was assessed using surrogate data. Some simulations are introduced to evaluate the effect of missing data on the correlational analysis and their results are discussed. Results obtained on subjects show a significant correlation between changes in EEG power in the delta band and end-tidal CO2. Moreover, the changes in end-tidal CO2 were found to precede those of global field power. These results might help to better understand the cortical mechanisms involved in the control of breathing.
机译：呼吸控制的中央机制尚不完全清楚。几项研究通过执行静止状态的任务或采用高碳酸血症/缺氧刺激评价脑电图（EEG）功率谱与呼吸信号之间的相关性。大脑活动的过程中自愿屏住呼吸的任务的观察，可能是强调在呼吸调节机制方面的有益做法。然而，脑电图大脑活动的研究，可以提出一定的局限性，由于严重的文物的存在。当伪像抑制方法，如独立成分分析，不能可靠地干净EEG数据，有必要排除噪声块。在这项研究中，在三角洲带和呼气末二氧化碳的全球现场功率从脑电图和CO2信号分别在4名健康受试者屏气任务中得到的。估计两个信号之间的互相关函数考虑到丢失样本的存在。相关系数在不同的时间滞后统计学显着性使用替代数据进行评估。一些模拟引入到评价的相关分析数据缺失的影响，其结果进行了讨论。上的对象获得的结果示出了在增量波段和EEG功率改变的呼气末CO 2之间的相关性显著。此外，在呼气末二氧化碳的变化被发现之前那些全球领域的力量。这些结果可能有助于更好地理解参与呼吸的控制皮质机制。

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