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Quantification of depth of anaesthesia by means of adaptive calculation of correlation dimension parameters

Quantification of depth of anaesthesia by means of adaptive calculation of correlation dimension parameters
Quantification of depth of anaesthesia by means of adaptive calculation of correlation dimension parameters
This paper proposes an approach for quantifying Depth of Anesthesia (DOA) based on correlation dimension (D2) of electroencephalogram (EEG). The single-channel EEG data was captured in both ICU and operating room while different anesthetic drugs, including propofol and isoflurane, were used. Correlation dimension was computed using various optimized parameters in order to achieve the maximum sensitivity to anesthetic drug effects and to enable real time computation. For better analysis, application of adaptive segmentation on EEG signal for estimating DOA was evaluated and compared to fixed segmentation, too. Prediction probability (PK) was used as a measure of correlation between the predictors and BIS index to evaluate the proposed methods. Appropriate correlation between DOA and correlation dimension is achieved while choosing (D2) parameters adaptively in comparison to fixed parameters due to the nonstationary nature of EEG signal.
0218-348X
473-483
Ahmadi, Behzad
8c2347f9-b79f-4beb-b8e9-3cbfabadd97f
Zaghari, Bahareh
a0537db6-0dce-49a2-8103-0f4599ab5f6a
Amirfatahi, Rassoul
b2050198-64f0-48d8-859c-c63d4024a225
Mansouri, Mojtaba
5698c486-60b0-41fd-bba0-d89773a62ba4
Ahmadi, Behzad
8c2347f9-b79f-4beb-b8e9-3cbfabadd97f
Zaghari, Bahareh
a0537db6-0dce-49a2-8103-0f4599ab5f6a
Amirfatahi, Rassoul
b2050198-64f0-48d8-859c-c63d4024a225
Mansouri, Mojtaba
5698c486-60b0-41fd-bba0-d89773a62ba4

Ahmadi, Behzad and Zaghari, Bahareh , Amirfatahi, Rassoul and Mansouri, Mojtaba (eds.) (2009) Quantification of depth of anaesthesia by means of adaptive calculation of correlation dimension parameters. Fractals, 17 (4), 473-483. (doi:10.1142/S0218348X09004594).

Record type: Article

Abstract

This paper proposes an approach for quantifying Depth of Anesthesia (DOA) based on correlation dimension (D2) of electroencephalogram (EEG). The single-channel EEG data was captured in both ICU and operating room while different anesthetic drugs, including propofol and isoflurane, were used. Correlation dimension was computed using various optimized parameters in order to achieve the maximum sensitivity to anesthetic drug effects and to enable real time computation. For better analysis, application of adaptive segmentation on EEG signal for estimating DOA was evaluated and compared to fixed segmentation, too. Prediction probability (PK) was used as a measure of correlation between the predictors and BIS index to evaluate the proposed methods. Appropriate correlation between DOA and correlation dimension is achieved while choosing (D2) parameters adaptively in comparison to fixed parameters due to the nonstationary nature of EEG signal.

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Published date: December 2009
Organisations: Dynamics Group

Identifiers

Local EPrints ID: 352995
URI: https://eprints.soton.ac.uk/id/eprint/352995
ISSN: 0218-348X
PURE UUID: a7ea7464-4d24-46f5-a3af-09fbb25831ab

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Date deposited: 28 May 2013 13:01
Last modified: 19 Jul 2019 21:35

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