title: Automatic analysis of electro-encephalogram sleep spindle frequency throughout the night.
abstract: A fully automatic method to analyse electro-encephalogram (EEG) sleep spindle frequency evolution during the night was developed and tested. Twenty all-night recordings were studied from ten healthy control subjects and ten sleep apnoea patients. A total of 22,868 spindles were detected. The overall mean spindle frequency was significantly higher in the control subjects than in the apnoea patients (12.5 Hz against 11.7 Hz, respectively; p<0.004). The proposed method further identified the sleep depth cycles, and the mean spindle frequency was automatically determined inside each sleep depth cycle. In control subjects, the mean spindle frequency increased from 12.0 Hz in the first sleep depth cycle to 12.6 Hz in the fifth cycle. No such increase was observed in the sleep apnoea patients. This difference in the spindle frequency evolution was statistically significant (p<0.004). The advantage of the method is that no EEG amplitude thresholds are needed.
authors.affiliation: Signal Processing Laboratory, Tampere University of Technology, Finland. eeroh@cs.tut.fi
authors.forename: E
authors.initials: E
authors.lastname: Huupponen
authors.forename: S L
authors.initials: SL
authors.lastname: Himanen
authors.forename: J
authors.initials: J
authors.lastname: Hasan
authors.forename: A
authors.initials: A
authors.lastname: Värri
mesh_terms: D000328:Adult; D000368:Aged; D004569:Electroencephalography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012815:Signal Processing, Computer-Assisted; D020181:Sleep Apnea, Obstructive / Q000175:diagnosis* / Q000503:physiopathology; D012894:Sleep Stages