Using Exploratory Analysis Modeling to Study the Correlation between EEG Signal and Respiratory Rhythm

Xuan Guo, Yixiao Sun, Zhiting Xiao, Wenhui Wu
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Abstract

In order to verify whether there is a correlation between human behavior and EEG signal, proposes a method based on exploratory analysis to study the relationship between human behavior and EEG. Through the acquisition of mice EEG and respiratory signal under sleep state, using exploratory analysis modeling to construct a transmission system of the linear time invariant multi-resolution model, then aggregate and disaggregate the respiratory signal. Through the analysis of EEG signals in time domain and frequency domain, experiments show that the EEG signal can control respiration and respiratory signal can also affect EEG rhythms, EEG rhythm and respiratory signals is relevant.
利用探索性分析模型研究脑电图信号与呼吸节律的相关性
为了验证人的行为与脑电信号之间是否存在相关性,提出了一种基于探索性分析的方法来研究人的行为与脑电信号之间的关系。通过采集小鼠睡眠状态下的脑电信号和呼吸信号,采用探索性分析建模方法构建线性时不变多分辨率模型的传输系统,对呼吸信号进行聚合和解聚。通过对脑电图信号的时域和频域分析,实验表明脑电图信号可以控制呼吸,而呼吸信号也可以影响脑电图节律,脑电图节律与呼吸信号是相关的。
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