Comparison of Correlation Dimension and Fractal Dimension in Estimating BIS index
Behzad AHMADI, Rassoul AMIRFATTAHI
DOI: 10.4236/wsn.2010.21010   PDF    HTML     8,848 Downloads   15,195 Views   Citations

Abstract

This paper compares the correlation dimension (D2) and Higuchi fractal dimension (HFD) approaches in estimating BIS index based on of electroencephalogram (EEG). The single-channel EEG data was captured in both ICU and operating room and different anesthetic drugs, including propofol and isoflurane were used. For better analysis, application of adaptive segmentation on EEG signal for estimating BIS index is evaluated and compared to fixed segmentation. Prediction probability (PK) is used as a measure of correlation between the predictors and BIS index to evaluate the proposed methods. The results show the ability of these algorithms (specifically HFD algorithm) in predicting BIS index. Also, evolving fixed and adaptive windowing methods for segmentation of EEG reveals no meaningful difference in estimating BIS index.

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AHMADI, B. and AMIRFATTAHI, R. (2010) Comparison of Correlation Dimension and Fractal Dimension in Estimating BIS index. Wireless Sensor Network, 2, 67-73. doi: 10.4236/wsn.2010.21010.

Conflicts of Interest

The authors declare no conflicts of interest.

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