Politecnico di Milano, Department of Biomedical Engineering, P.zza Leonardo da Vinci 32, 20133 Milan, Italy.
Clin Neurophysiol. 2011 Oct;122(10):2016-24. doi: 10.1016/j.clinph.2011.02.031. Epub 2011 Mar 24.
This study aims to identify, starting from a single EEG trace, quantitative distinctive features characterizing the A phases of the Cyclic Alternating Pattern (CAP).
The C3-A2 or C4-A1 EEG leads of the night recording of eight healthy adult subjects were used for this analysis. CAP was scored by an expert and the portions relative to NREM were selected. Nine descriptors were computed: band descriptors (low delta, high delta, theta, alpha, sigma and beta); Hjorth activity in the low delta and high delta bands; differential variance of the EEG signal. The information content of each descriptor in recognizing the A phases was evaluated through the computation of the ROC curves and the statistics sensitivity, specificity and accuracy.
The ROC curves show that all the descriptors have a certain significance in characterizing A phases. The average accuracy obtained by thresholding the descriptors ranges from 59.89 (sigma descriptor) to 72.44 (differential EEG variance).
The results show that it is possible to attribute a significant quantitative value to the information content of the descriptors.
This study gives a mathematical confirm to the features of CAP generally described qualitatively, and puts the bases for the creation of automatic detection methods.
本研究旨在从单个 EEG 轨迹中识别出定性地描述周期性交替模式（CAP）A 阶段的定量特征。
该分析使用了 8 名健康成年受试者夜间记录的 C3-A2 或 C4-A1 EEG 导联。CAP 由专家评分，并选择与 NREM 相关的部分。计算了 9 个描述符：频带描述符（低 delta、高 delta、theta、alpha、sigma 和 beta）；低 delta 和高 delta 频带中的 Hjorth 活动；脑电图信号的差分方差。通过计算 ROC 曲线和统计灵敏度、特异性和准确性，评估了每个描述符识别 A 相的信息含量。
ROC 曲线表明，所有描述符在表征 A 相方面都具有一定的意义。通过对描述符进行阈值处理获得的平均准确性范围从 59.89（sigma 描述符）到 72.44（差分 EEG 方差）。
结果表明，有可能为描述符的信息内容赋予重要的定量值。
本研究从数学上证实了 CAP 的特征，这些特征通常是定性描述的，为自动检测方法的创建奠定了基础。
