2015
DOI: 10.3389/fncom.2015.00016
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EEG entropy measures in anesthesia

Abstract: Highlights: ► Twelve entropy indices were systematically compared in monitoring depth of anesthesia and detecting burst suppression.► Renyi permutation entropy performed best in tracking EEG changes associated with different anesthesia states.► Approximate Entropy and Sample Entropy performed best in detecting burst suppression.Objective: Entropy algorithms have been widely used in analyzing EEG signals during anesthesia. However, a systematic comparison of these entropy algorithms in assessing anesthesia drug… Show more

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Cited by 250 publications
(185 citation statements)
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“…For this purpose, a parametrical definition of permutation entropy, the permutation Rényi entropy (PEr), which was introduced in [25,26], is proposed here for the analysis of epileptic EEG. In this paper, PEr has been tested against PE tuning the different involved parameters (embedding dimension, delay time and alpha) in order to be optimized for the analysis of absence epilepsy EEG.…”
Section: Introductionmentioning
confidence: 99%
“…For this purpose, a parametrical definition of permutation entropy, the permutation Rényi entropy (PEr), which was introduced in [25,26], is proposed here for the analysis of epileptic EEG. In this paper, PEr has been tested against PE tuning the different involved parameters (embedding dimension, delay time and alpha) in order to be optimized for the analysis of absence epilepsy EEG.…”
Section: Introductionmentioning
confidence: 99%
“…In previous studies, quantifying nonlinear dynamics in the temporal pattern of the EEG signal gives more insights into the characteristics and behavior of the underlying neural plasticity processes and mechanisms (Capano et al 2015;Escudero et al 2015;Pu et al 2013;Stepp et al 2015). In the information aspect, entropy is a measure of unpredictability of time series, and has been widely used, improved and proven valid in quantification of a variety of physiological data (Ahmed and Mandic 2011;Liang et al 2015;Richman and Moorman 2000). As an embedding entropy metric, sample entropy provides a generalized and improved metric for assessing complexity and irregularity in EEG time series.…”
Section: Discussionmentioning
confidence: 99%
“…The pharmacokinetic-pharmacodynamic model was usually used to predict the effect on the brain. 63 The anesthetic concentration effect can be significantly affected by the subject-specific physiological states. Moreover, more than one anesthetic drug was used in the study, different drugs may establish synergies with each other.…”
Section: Discussionmentioning
confidence: 99%