Linear and nonlinear analysis of electroencephalogram of the coma

H. L. Chan; M. A. Lin; S. C. Fang

Linear and nonlinear analysis of electroencephalogram of the coma

H. L. Chan^*, M. A. Lin, S. C. Fang

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

8 Scopus citations

Abstract

The coma is common in intensive care units. The bedside physical examination provides a means to measuring the neurological status, but it cannot be a continuous evaluation, whereas electroencephalogram (EEG) can reflect the immediate electrical activities of the brain. In this paper, we investigate the spectral parameters, complexity and irregular measures, and spectral entropy in the coma. Compared to the normal subject, the EEG of the coma has a dominance of slow wave, low complexity, less irregularity, and low spectral entropy. This result demonstrates the possibility to use EEG analysis for the monitoring of neurological function.

Original language	English
Pages (from-to)	593-595
Number of pages	3
Journal	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume	26 I
State	Published - 2004
Event	Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States Duration: 01 09 2004 → 05 09 2004

Keywords

Coma
Electroencephalogram
Linear
Nonlinear

Cite this

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title = "Linear and nonlinear analysis of electroencephalogram of the coma",

abstract = "The coma is common in intensive care units. The bedside physical examination provides a means to measuring the neurological status, but it cannot be a continuous evaluation, whereas electroencephalogram (EEG) can reflect the immediate electrical activities of the brain. In this paper, we investigate the spectral parameters, complexity and irregular measures, and spectral entropy in the coma. Compared to the normal subject, the EEG of the coma has a dominance of slow wave, low complexity, less irregularity, and low spectral entropy. This result demonstrates the possibility to use EEG analysis for the monitoring of neurological function.",

keywords = "Coma, Electroencephalogram, Linear, Nonlinear",

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T1 - Linear and nonlinear analysis of electroencephalogram of the coma

AU - Chan, H. L.

AU - Lin, M. A.

AU - Fang, S. C.

PY - 2004

Y1 - 2004

N2 - The coma is common in intensive care units. The bedside physical examination provides a means to measuring the neurological status, but it cannot be a continuous evaluation, whereas electroencephalogram (EEG) can reflect the immediate electrical activities of the brain. In this paper, we investigate the spectral parameters, complexity and irregular measures, and spectral entropy in the coma. Compared to the normal subject, the EEG of the coma has a dominance of slow wave, low complexity, less irregularity, and low spectral entropy. This result demonstrates the possibility to use EEG analysis for the monitoring of neurological function.

AB - The coma is common in intensive care units. The bedside physical examination provides a means to measuring the neurological status, but it cannot be a continuous evaluation, whereas electroencephalogram (EEG) can reflect the immediate electrical activities of the brain. In this paper, we investigate the spectral parameters, complexity and irregular measures, and spectral entropy in the coma. Compared to the normal subject, the EEG of the coma has a dominance of slow wave, low complexity, less irregularity, and low spectral entropy. This result demonstrates the possibility to use EEG analysis for the monitoring of neurological function.

KW - Coma

KW - Electroencephalogram

KW - Linear

KW - Nonlinear

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M3 - 会议文章

AN - SCOPUS:11044228525

SN - 0589-1019

VL - 26 I

SP - 593

EP - 595

JO - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

JF - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

T2 - Conference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004

Y2 - 1 September 2004 through 5 September 2004

ER -

Linear and nonlinear analysis of electroencephalogram of the coma

Abstract

Keywords

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