Determining a continuous marker for sleep depth.
Detection and quantification of sleep arousals is an important issue, as the frequent arousals are known to reduce the quality of sleep and cause daytime sleepiness. In typical sleep staging, electroencephalograph (EEG) is the core signal and based on the visual inspection of the frequency content of EEG, non-rapid eye movement sleep is staged into four somewhat rough categories. In this study, we aimed at developing a continuous marker based on a more rigorous spectral analysis of EEG to measure or quantify the depth of sleep. In order to develop such a marker, we obtained the time-frequency map of two EEG channels around sleep arousals and identified the frequency bands that show the most change during arousals. We then evaluated classification performance of the potential signals for representing the depth of sleep, using receiver operating characteristic analysis. Our comparisons based on the area under the curve values revealed that the sum of absolute powers in alpha and beta bands is a good continuous marker to represent the depth of sleep. Higher values of this marker indicate low-quality sleep and vice versa. We believe that use of this marker will lead to a better quantification of sleep quality.
Asyali
Musa H
MH
Departmemt of Computer Engineering, Yasar University, Kazim Dirik Mah. 364 Sok. No. 5, Bornova 35500, Izmir, Turkey. musa.asyali@yasar.edu.tr
Berry
Richard B
RB
Khoo
Michael C K
MC
Altinok
Ayse
A
D000328:Adult; D001143:Arousal / Q000502:physiology; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D006801:Humans; D008875:Middle Aged; D012372:ROC Curve; D012815:Signal Processing, Computer-Assisted; D012890:Sleep / Q000502:physiology; D020181:Sleep Apnea, Obstructive / Q000503:physiopathology; D012894:Sleep Stages / Q000502:physiology*