ArticleComputational intelligence and neuroscience2016
Spectral Gini Index for Quantifying the Depth of Consciousness.
Article in Computational intelligence and neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Theil Entropy as a Non-Lineal Analysis for Spectral Inequality of Physiological Oscillations.Entropy (Basel, Switzerland) · 2022Article
- Consciousness and complexity: a consilience of evidence.Neuroscience of consciousness · 2021Review
- Glycine Receptor Inhibition Differentially Affect Selected Neuronal Populations of the Developing Embryonic Cortex, as Evidenced by the Analysis of Spontaneous Calcium Oscillations.International journal of molecular sciences · 2020Article
- Introduction of Application of Gini Coefficient to Heart Rate Variability Spectrum for Mental Stress Evaluation.Arquivos brasileiros de cardiologia · 2019Article
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Authors and funding
3 authors.
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Abstract
We propose indices that describe the depth of consciousness (DOC) based on electroencephalograms (EEGs) acquired during anesthesia. The spectral Gini index (SpG) is a novel index utilizing the inequality in the powers of the EEG spectral components; a similar index is the binarized spectral Gini index (BSpG), which has low computational complexity. A set of EEG data from 15 subjects was obtained during the induction and recovery periods of general anesthesia with propofol. The efficacy of the indices as indicators of the DOC was demonstrated by examining Spearman's correlation coefficients between the indices and the effect-site concentration of propofol. A higher correlation was observed for SpG and BSpG (0.633 and 0.770, resp.,
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