title: Automatic SCSB analysis of motor and autonomic nervous functions compared with sleep stages.
abstract: All-night recordings of respiration, ballistocardiogram, and body movements were obtained using the static charge-sensitive bed (SCSB) and automatically analysed data were compared with sleep stages. The mean sum of eight SCSB variability parameters was lowest in slow wave sleep (SWS), higher during stage 2 (S2), and highest in REM sleep. The sum scores of the parameters with the highest correlations with the EEG data were classified into quiet (QS), intermediate (IS) and active (AS) states. SCSB signals during wakefulness, stage 1 and REM sleep were mostly scored as AS, whereas in S2 and especially in SWS they were scored as QS or IS. The SCSB is an easy and inexpensive tool for conducting follow-up studies on sleep quality in natural environments.
authors.affiliation: Department of Psychology, University of Jyväskylä, Finland.
authors.forename: J
authors.initials: J
authors.lastname: Kaartinen
authors.forename: M
authors.initials: M
authors.lastname: Erkinjutti
authors.forename: E
authors.initials: E
authors.lastname: Rauhala
mesh_terms: D000328:Adult; D001341:Autonomic Nervous System / Q000502:physiology*; D001450:Ballistocardiography; D004569:Electroencephalography; D005069:Evaluation Studies as Topic; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology*; D012119:Respiration / Q000502:physiology; D012894:Sleep Stages / Q000502:physiology*; D012984:Software; D055672:Static Electricity