A cepstral analysis based method for quantifying the depth of anesthesia from human EEG

Tae Ho Kim; Young Gyu Yoon; Jinu Uhm; Dae Woong Jeong; Seung Z.hoo Yoon; Sang Hyun Park

doi:10.1109/EMBC.2013.6610918

A cepstral analysis based method for quantifying the depth of anesthesia from human EEG

Tae Ho Kim, Young Gyu Yoon, Jinu Uhm, Dae Woong Jeong, Seung Z.hoo Yoon, Sang Hyun Park

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, a cepstral analysis based approach to measuring the depth of anesthesia (DoA) is presented. Cepstral analysis is a signal processing technique widely used especially for speech recognition in order to extract speech information regardless of vocal cord characteristics. The resulting index for the DoA is called index based on cepstral analysis (ICep). The Fisher criterion is engaged to evaluate the performance of indices. All analyses are based on a single-channel electroencephalogram (EEG) of 10 human subjects. To validate the proposed technique, ICep is compared with bispectral index (BIS), which is the most commonly used method to estimate the level of consciousness via EEG during general anesthesia. The results show that ICep has high correlation with BIS, and is outstanding in terms of the Fisher criterion and offers faster tracking than BIS in the transition from consciousness to unconsciousness.

Original language	English
Pages (from-to)	5994-5997
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Volume	2013
DOIs	https://doi.org/10.1109/EMBC.2013.6610918
Publication status	Published - 2013 Jan 1
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

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10.1109/EMBC.2013.6610918

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Kim, T. H., Yoon, Y. G., Uhm, J., Jeong, D. W., Yoon, S. Z. H., & Park, S. H. (2013). A cepstral analysis based method for quantifying the depth of anesthesia from human EEG. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2013, 5994-5997. https://doi.org/10.1109/EMBC.2013.6610918

A cepstral analysis based method for quantifying the depth of anesthesia from human EEG. / Kim, Tae Ho; Yoon, Young Gyu; Uhm, Jinu et al.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, Vol. 2013, 01.01.2013, p. 5994-5997.

Research output: Contribution to journal › Article › peer-review

Kim, TH, Yoon, YG, Uhm, J, Jeong, DW, Yoon, SZH & Park, SH 2013, 'A cepstral analysis based method for quantifying the depth of anesthesia from human EEG', Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, vol. 2013, pp. 5994-5997. https://doi.org/10.1109/EMBC.2013.6610918

Kim TH, Yoon YG, Uhm J, Jeong DW, Yoon SZH, Park SH. A cepstral analysis based method for quantifying the depth of anesthesia from human EEG. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference. 2013 Jan 1;2013:5994-5997. doi: 10.1109/EMBC.2013.6610918

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abstract = "In this paper, a cepstral analysis based approach to measuring the depth of anesthesia (DoA) is presented. Cepstral analysis is a signal processing technique widely used especially for speech recognition in order to extract speech information regardless of vocal cord characteristics. The resulting index for the DoA is called index based on cepstral analysis (ICep). The Fisher criterion is engaged to evaluate the performance of indices. All analyses are based on a single-channel electroencephalogram (EEG) of 10 human subjects. To validate the proposed technique, ICep is compared with bispectral index (BIS), which is the most commonly used method to estimate the level of consciousness via EEG during general anesthesia. The results show that ICep has high correlation with BIS, and is outstanding in terms of the Fisher criterion and offers faster tracking than BIS in the transition from consciousness to unconsciousness. ",

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AU - Park, Sang Hyun

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A cepstral analysis based method for quantifying the depth of anesthesia from human EEG

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