title: [The comparison between approximate entropy and complexity in the study of sleep EEG].
abstract: The Paper introduces two algorithms as a complexity measure. One is the algorithm defined by Kaspar and Schuster, the other is a recently developed statistic quantifying regularity and complexity--Approximate entropy (ApEn). They have been applied for the study of sleep EEG. According to the laboratory application and comparison, the result shows that ApEn is a valued complexity measure.
authors.affiliation: Beijing University of Science and Technology.
authors.forename: G
authors.initials: G
authors.lastname: Dong
authors.forename: Q
authors.initials: Q
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D004569:Electroencephalography; D019277:Entropy; D006801:Humans; D012890:Sleep / Q000502:physiology*