Spectral Gini Index for Quantifying the Depth of Consciousness

المؤلفون المشاركون

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

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2016-10-20

دولة النشر

مصر

عدد الصفحات

12

التخصصات الرئيسية

الأحياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1099596