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
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