Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia

Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia Publisher

Ghanatbari M¹ ; Mehri Dehnavi AR¹ ; Rabbani H¹ ; Mahoori AR²

Show Affiliations

1. Department of Biomedical Engineering, Isfahan University of Medical Sciences, Isfahan, Iran
2. Department of Anesthesia, Urmia Medical University, Urmia, Iran

Source: Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 Published:2009

Abstract

This paper presents two artificial neural network (ANN) structures to estimate the depth of anesthesia (DOA). First, a clinical study involved on 33 patients is proposed to construct reference data and also to compare the results with DIS monitor (Aspect Medical, Vista), which represents satisfactory correlation with clinical assessments. Secondly, to extract features from electroencephalogram (EEG) signals, we extract some features in frequency and time domain as well as in wavelet (Daubechies) domain. Finally, to integrate EEG features to estimate DOA, ANNs based on back propagation (DP) algorithm are proposed. Since each of the proposed features may has good performance only for a specific range of DOA, this model proved to have good prediction properties, and the output of the proposed ANN has a high correlation with the output of the BIS index. ©2009 IEEE.

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Style	Citing Format
MLA	Ghanatbari M, et al.. "Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia." Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, vol. , no. , 2009, pp. -.
APA	Ghanatbari M, Mehri Dehnavi AR, Rabbani H, Mahoori AR (2009). Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia. Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, (), -.
Chicago	Ghanatbari M, Mehri Dehnavi AR, Rabbani H, Mahoori AR. "Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia." Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 , no. (2009): -.
Harvard	Ghanatbari M et al. (2009) 'Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia', Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, (), pp. -.
Vancouver	Ghanatbari M, Mehri Dehnavi AR, Rabbani H, Mahoori AR. Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia. Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009. 2009;():-.
BibTex	@article{ author = {Ghanatbari M and Mehri Dehnavi AR and Rabbani H and Mahoori AR}, title = {Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia}, journal = {Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009}, volume = {}, number = {}, pages = {-}, year = {2009} }
RIS	TY - JOUR AU - Ghanatbari M AU - Mehri Dehnavi AR AU - Rabbani H AU - Mahoori AR TI - Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia JO - Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 VL - IS - SP - EP - PY - 2009 ER -

Style

Citing Format

MLA

Ghanatbari M, et al.. "Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia." Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, vol. , no. , 2009, pp. -.

APA

Ghanatbari M, Mehri Dehnavi AR, Rabbani H, Mahoori AR (2009). Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia. Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, (), -.

Chicago

Ghanatbari M, Mehri Dehnavi AR, Rabbani H, Mahoori AR. "Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia." Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009 , no. (2009): -.

Harvard

Ghanatbari M et al. (2009) 'Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia', Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009, (), pp. -.

Vancouver

Ghanatbari M, Mehri Dehnavi AR, Rabbani H, Mahoori AR. Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia. Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009. 2009;():-.

BibTex

@article{ author = {Ghanatbari M and Mehri Dehnavi AR and Rabbani H and Mahoori AR}, title = {Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia}, journal = {Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009}, volume = {}, number = {}, pages = {-}, year = {2009} }

RIS

TY - JOUR
AU - Ghanatbari M
AU - Mehri Dehnavi AR
AU - Rabbani H
AU - Mahoori AR
TI - Estimating the Depth of Anesthesia by Applying Sub Parameters to an Artificial Neural Network During General Anesthesia
JO - Final Program and Abstract Book - 9th International Conference on Information Technology and Applications in Biomedicine, ITAB 2009
VL -
IS -
SP -
EP -
PY - 2009
ER -

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