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Spectral Gini Index for Quantifying the Depth of Consciousness
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 ind...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093302/ https://www.ncbi.nlm.nih.gov/pubmed/27840633 http://dx.doi.org/10.1155/2016/2304356 |
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author | You, Kyung-Jin Noh, Gyu-Jeong Shin, Hyun-Chool |
author_facet | You, Kyung-Jin Noh, Gyu-Jeong Shin, Hyun-Chool |
author_sort | You, Kyung-Jin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5093302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-50933022016-11-13 Spectral Gini Index for Quantifying the Depth of Consciousness You, Kyung-Jin Noh, Gyu-Jeong Shin, Hyun-Chool Comput Intell Neurosci Research Article 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. Hindawi Publishing Corporation 2016 2016-10-20 /pmc/articles/PMC5093302/ /pubmed/27840633 http://dx.doi.org/10.1155/2016/2304356 Text en Copyright © 2016 Kyung-Jin You et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article You, Kyung-Jin Noh, Gyu-Jeong Shin, Hyun-Chool Spectral Gini Index for Quantifying the Depth of Consciousness |
title | Spectral Gini Index for Quantifying the Depth of Consciousness |
title_full | Spectral Gini Index for Quantifying the Depth of Consciousness |
title_fullStr | Spectral Gini Index for Quantifying the Depth of Consciousness |
title_full_unstemmed | Spectral Gini Index for Quantifying the Depth of Consciousness |
title_short | Spectral Gini Index for Quantifying the Depth of Consciousness |
title_sort | spectral gini index for quantifying the depth of consciousness |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093302/ https://www.ncbi.nlm.nih.gov/pubmed/27840633 http://dx.doi.org/10.1155/2016/2304356 |
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