【摘要】 为了研究大鼠在不同麻醉深度下大脑活动的变化,探测麻醉深度对其脑电信号(EEG)的影响,采用KC复杂度和谱熵对不同麻醉深度下的EEG及其4个主要频段信号进行了复杂性分析.结果发现:随着麻醉深度的加深,EEG的KC复杂度和谱熵的值都随之减小,反之亦然,且KC复杂度在区分麻醉深度的变化方面比谱熵更为灵敏、准确;在麻醉状态下,delta频段是EEG信号的优势频段,正是它的动态变化主导了EEG信号的变化过程.更多还原

【Abstract】 To measure the brain activity variations under different depth of anesthesia(DOA),and investigate whose influence on electroencephalogram(EEG) of the SD rat,the KC complexity(C(n)) and the spectral entropy(H) were introduced to analyze EEG and four components under different DOA.The results show that both C(n) and H of EEG decrease with increasing DOA and vice versa,C(n) is more sensitive and accurate than H for detecting the change of DOA.The delta rhythm is the dominant one for rat during anesthesia,and the dynamically changed delta rhythm leads to the EEG variations.更多还原