DocumentCode :
3228732
Title :
Estimating the depth of anesthesia by applying sub parameters to an artificial neural network during general anesthesia
Author :
Ghanatbari, M. ; Dehnavi, A. R Mehri ; Rabbani, H. ; Mahoori, A.R.
Author_Institution :
Dept. of Biomed. Eng., Isfahan Univ. of Med. Sci., Isfahan, Iran
fYear :
2009
fDate :
4-7 Nov. 2009
Firstpage :
1
Lastpage :
4
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 BIS 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 (BP) 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.
Keywords :
backpropagation; data acquisition; diseases; electroencephalography; medical computing; neural nets; neurophysiology; Daubechies domain; EEG signals; artificial neural network structures; back propagation algorithm; clinical assessment; clinical study; depth of anesthesia; electroencephalogram signals; patients; time domain; wavelet domain; Anesthesia; Artificial neural networks; Back; Biomedical monitoring; Data mining; Direction of arrival estimation; Electroencephalography; Feature extraction; Patient monitoring; Wavelet domain; artificial neural network (ANN); depth of anesthesia (DOA); electroencephalogram (EEG);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on
Conference_Location :
Larnaca
Print_ISBN :
978-1-4244-5379-5
Electronic_ISBN :
978-1-4244-5379-5
Type :
conf
DOI :
10.1109/ITAB.2009.5394434
Filename :
5394434
Link To Document :
بازگشت