Chouvarda I, Rosso V, Mendez M O, Bianchi A M, Parrino L, Grassi A, Terzano M, Cerutti S, Maglaveras N
BME Department, Polytecnico di Milano, Italy.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:5959-62. doi: 10.1109/IEMBS.2010.5627567.
This work investigates the relation between EEG complexity measures, in particular Fractal Dimension and Sample Entropy, and sleep structure, in terms of both macrostructure, i.e. sleep stages, and microstructure, i.e. phase A activation of CAP sleep. Activation phases are compared with the non-activation periods of non-REM sleep. The study suggests that complexity features can serve as consistent descriptors of sleep dynamics and can potentially assist in the classification of sleep stages.
这项工作研究了脑电图复杂性测量指标,特别是分形维数和样本熵,与睡眠结构之间的关系,包括宏观结构,即睡眠阶段,以及微观结构,即慢波睡眠期A相激活。将激活阶段与非快速眼动睡眠的非激活期进行比较。该研究表明,复杂性特征可以作为睡眠动态的一致描述符,并有可能有助于睡眠阶段的分类。