HighlightsWe search for objective sleep quality measures.We model sleep as a continuous process represented by a set of sleep microstates.We correlate parameters of the sleep model with latent factors of daytime behavioral and life-quality measures.We report a set of sleep parameters significantly correlating with daytime factors.

Research in recent years has supported the hypothesis that many properties of the electroencephalogram (EEG) are specific to an individual. In this study, the intra- and inter-individual variations of sleep EEG signals were investigated. This was carried out by analyzing the stability of the average EEG spectra individually computed for the Rechtschaffen and Kales (RK) sleep stages. Six EEG channels were used to account for the topographical aspect of the analysis. Validity of the results was supported by considering a wide dataset of 174 subjects with normal sleep. Subjects spent two consecutive nights in the sleep laboratory during which EEG recordings were obtained. High similarity between average spectra of two consecutive nights was found considering an individual. More than 89% of the second night recordings were correctly assigned to their counterparts of the first night. The average spectra of sleep EEG computed for each RK sleep stage have shown a high degree of individuality.

The theory of halftone printing has attracted the attention of both industry and scientists for decades. The Yule-Nielsen equation has been used for color prediction for more than fifty years now, but apparently the tuning parameter n has been taken to be only larger than or equal to one. Our paper shows that the extension to the whole real axis is well defined in a mathematical sense. We fitted models to data from the ceramics tile printing sector (Rotocolor and Kerajet printing techniques) and found that using a negative n in almost all considered cases resulted in a better fit.