清醒与麻醉状态下大鼠脑电复杂度特征的比较

Comparison of EEG complexity between rats under awaking and anesthesia

中文关键词: 麻醉  脑电复杂度  样本熵  分形维数  线性动力系统

英文关键词: Anesthesia  EEG complexity  Sample entropy  Fractal dimension  Linear dynamic system

中文摘要:

      目的 通过对脑电复杂度样本熵(SampEn)和分形维数(FD)分析,比较清醒和不同麻醉状态下大鼠脑电复杂度特征。方法 SD大鼠16只,每只大鼠先后两次腹腔注射氨基甲酸乙酯(首次500 mg／kg、1 h后800 mg／kg),采集大鼠清醒状态(W段)、浅麻醉状态(LA段)、深麻醉状态(HA段)头皮脑电(EEG),采用MATLAB软件计算EEG信号复杂度的SampEn和FD值,并对全过程的特征值进行线性动力系统(LDS)去噪和各状态下特征值做统计学分析。结果 大鼠从清醒到浅麻醉、深麻醉过程中SampEn、FD值逐渐下降。W段的SampEn值与FD值（4.049±0.190和9.299±0.195）明显高于LA段（3.248±0.175和8.528±0.156）和HA段（2.978±0.123和8.213±0.128）（P＜0.05）,HA段的SampEn值与FD值明显低于LA段(P＜0.05)。结论 EEG的SampEn与FD值可作为麻醉深度监测的特征量。

英文摘要:

      Objective To compare the EEG complexity between rats under awaking and different depth of anesthesia via analyzing sample entropy and fractal dimension. Methods Sixteen SD rats were intraperitoneally injected with urethane twice, first with 500 mg／kg and second with 800 mg／kg one hour later. The scalp EEG was collected in stage of awaking (W), light anesthesia (LA) and heavy anesthesia (HA). The sample entropy (SampEn) and fractal dimension (FD) were computed by MATLAB. The characteristic values were denoised by linear dynamic system method during the whole process. Results The value of SampEn and FD gradually dropped from awaking to heavy anesthesia. The SampEn and FD in W was significantly higher than the value in LA or in HA (P＜0.05). The SampEn and FD in HA was significantly lower than that in LA (P＜0.05). Conclusion The SampEn and FD of EEG could be used to monitor the depth of anesthesia.