title: Quantitative description of sleep stage electrophysiology using digital period analytic techniques.
abstract: The purpose of the current study was to assess the overlap in variance of two procedures for the quantification of sleep electrophysiology: conventional stage scoring and computer quantification of tonic activity. Data were collected on 24 nights from eight subjects and were scored according to a modified set of Rechtschaffen and Kales criteria and submitted to a period-analytic computer analysis. Following this, discriminant function analyses were performed on the data for each night to predict the visual stage scores from the computer-generated data. The results indicate a very high degree of predictive accuracy (91.05%) supporting the contention that the computer-quantified data set includes the variance normally captured by stage scoring. The implications of computer quantification of sleep electrophysiology are discussed.
mesh_terms: D000293:Adolescent; D000328:Adult; D003201:Computers; D004562:Electrocardiography; D004569:Electroencephalography; D004576:Electromyography; D006801:Humans; D008297:Male; D011603:Psychophysiology; D012894:Sleep Stages / Q000502:physiology*