title: [Detrended fluctuation analysis of physiological parameters during sleep].
abstract: Detrended fluctuation analysis (DFA) is fit for studies on the long-range exponential correlations of non-stationary time serial. In this paper, for elucidating the characteristics of different sleep stages, DFA is adopted to analyze the physiological data collected during sleep. The parameters such as electroencephalogram (EEG), R-R interval sequence and stroke volume (SV) are analyzed, and the scaling exponent a is calculated. The experimental results reveal that the values of a differ much in different sleep stages,that the rules of EEG and SV are alike, that alpha increases with the deepening of sleep, but in inverse for R-R interval sequence that alpha decreases with the deepening of sleep. These indicate that the method of DFA is practical in the analysis of physiological parameters.
authors.affiliation: Department of Electronic Sciences & Technology, University of Sciences & Technology of China, Hefei 230026, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Ning
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Jiang
authors.forename: Bin
authors.initials: B
authors.lastname: An
authors.forename: Huanqing
authors.initials: H
authors.lastname: Feng
mesh_terms: D003627:Data Interpretation, Statistical; D004562:Electrocardiography / Q000706:statistics & numerical data*; D004569:Electroencephalography / Q000706:statistics & numerical data*; D006801:Humans; D017286:Polysomnography; D012815:Signal Processing, Computer-Assisted; D012894:Sleep Stages / Q000502:physiology*