… In this work we have been able to characterise the dynamics of different sleep stages in an
easy and fast way, using measures borrowed from Information Theory. Our results show that …

… for each sleep stage was obtained. It was found that different sleep stages are characterized
by … of the EEG signals observed at the different sleep stages. This finding encourages the …

… [28] presented a study of the sleep stages characterization. They recorded EEG … sleep
stages from a Physionet dataset. The authors used five-time casual Information Theory quantifiers …

… Hence, the quantifiers extracted from these signals, also … law distribution of sleep stages
to estimate the time to apnea [7]… Specifically, we present (1) a method to characterize OSA …

… causal interactions and making the population activity more recurrent, deterministic, and less
chaotic than during REM sleep … indistinguishable from Wakefulness or REM sleep. In fact, …

… the anaphoric presupposition of the quantifier- gajut ‘often’. … We now turn to describe
the Kalaallisut system of verbal … ), while a noncausal relation may favor a later stage (process …

… This happens because low-frequency oscillations emerge from neuronal population patterns,
as we show by recovering the complexity variations during the sleep-wake cycle from micro…

… incremental comparisons.2,3 ApEn characterizes how different segments of the signal with
… estimate sleep stages in EEG signals, complementing other approaches based on spectral …

… This paper presents a study of the electric load behavior based on the Causality … by using
quantifiers stemming from Information Theory. The characterization is performed in two stages. …

… sleep stages. Therefore, CRSDE performs best in quantifying neurodynamics of neonatal
sleep stages. … results can clearly characterize different sleep stages, including wake, active …