Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method

Nguyen-Ky, T. and Wen, Peng and Li, Yan (2010) Improving the accuracy of depth of anaesthesia using modified detrended fluctuation analysis method. Biomedical Signal Processing and Control, 5 (1). pp. 59-65. ISSN 1746-8094

Abstract

This paper presents a modified detrended fluctuation analysis (MDFA) to improve the monitoring accuracy of the depth of anaesthesia (DoA). We first use MDFA to classify anaesthesia state levels into awake, light, moderate, deep and very deep states. Then we build up five zones using linear regression method from very deep anaesthesia state to awake state, corresponding with different box sizes. Finally, the Lagrange method is applied to compute the DoA. Comparing with the most popular Bispectral Index (BIS) method, our modified DFA method extends the ranges of the moderate anaesthesia, deep anaesthesia and very deep anaesthesia to provide more information about the DoA. This extension is very significant in the clinical perspective as these states are within the ranges for operations and need more attention. Simulation results demonstrate that the new technique monitors the DoA in all anaesthesia states accurately.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author verison not held.
Depositing User: Dr Yan Li
Faculty / Department / School: Historic - Faculty of Sciences - Department of Maths and Computing
Date Deposited: 02 Jun 2010 11:42
Last Modified: 02 Jul 2013 23:36
Uncontrolled Keywords: depth of anaesthesia; modified detrended fluctuation analysis; linear regression; Lagrange method; electroencephalogram
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080199 Artificial Intelligence and Image Processing not elsewhere classified
09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells
11 Medical and Health Sciences > 1103 Clinical Sciences > 110301 Anaesthesiology
Socio-Economic Objective (SEO2008): C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: doi: 10.1016/j.bspc.2009.03.001
URI: http://eprints.usq.edu.au/id/eprint/6641

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