Spectral Gini Index for Quantifying the Depth of Consciousness

Joint Authors

You, Kyung-Jin
Noh, Gyu-Jeong
Shin, Hyun-Chool

Source

Computational Intelligence and Neuroscience

Issue

Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-10-20

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Biology

Abstract EN

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., p<0.001) compared to the conventional indices.

These results show that the proposed indices can achieve a reliable quantification of the DOC with simplified calculations.

American Psychological Association (APA)

You, Kyung-Jin& Noh, Gyu-Jeong& Shin, Hyun-Chool. 2016. Spectral Gini Index for Quantifying the Depth of Consciousness. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099596

Modern Language Association (MLA)

You, Kyung-Jin…[et al.]. Spectral Gini Index for Quantifying the Depth of Consciousness. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1099596

American Medical Association (AMA)

You, Kyung-Jin& Noh, Gyu-Jeong& Shin, Hyun-Chool. Spectral Gini Index for Quantifying the Depth of Consciousness. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099596

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1099596