Extracting more information from EEG recordings for a better description of sleep.
Bottom Line: In most cases these differences are significant.The results obtained with the PSM support its wider use in sleep process modeling research and these results also suggest that EEG signals contain more information about sleep than what sleep profiles based on discrete stages can reveal.The proposed PSM represents a promising alternative.
Affiliation: Section for Artificial Intelligence, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria.Show MeSH
Related in: MedlinePlus
Mentions: An example of a whole night hypnogram and the RK posteriors derived from (5) are depicted in Fig. 2. The figure shows increased wake posteriors corresponding to the RK wake periods. The short transitions from S2 to S1 are visible as smaller peaks. The SWS posterior tends to increase during the SWS sleep period. Decrease in the posterior peaks of the second and third SWS period in comparison to the first SWS can be observed. Finally, REM posteriors are increased during the periods of REM defined by the RK rules.
Affiliation: Section for Artificial Intelligence, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Austria.