4044

3822

كارشناسي ارشد

مخابرات

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1386

هشت، 124 [II] ص.: مصور، جدول، نمودار

ص. ع به: فارسي و انگليسي

رسول امير فتاحي

مجتبي منصوري

5/5/87

مهندسي برق و كامپيوتر

ID3822

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Abstract Anesthesia is considered as a process in which unconsciousness muscle relaxation and the reduction of sensitivity to painfull stimuli are occured Ensuring patient s safety during surgical operation and in the intensive Care Unit ICU is an important facor Nevertheless patient awareness during surgery or over dosing with anesthetic agents will be a common problem In order to avoid these problems accurate detection of depth of anesthesia DOA based on processing of physiological signals is a proper choice Synaptic activity of neurons which are the main generators of electroencephalogram EEG signals is highly affected by various anesthetic drugs Thus in the recent years a large focus was put on digital processing of EEG signals for estimating depth of anesthesia In this thesis the probable algorithm of the BIS monitor is analyzed and the efficiency of the spectral bispectral and temporal parameters in estimating DOA is evaluated In order to improve the accuracy of the algorthims adaptive segmentation methods are used too Furthermore the concepts such as Shannon entropy Huffman coding and approximate entropy which are extracted out of the information theory are studeied and their ability to estimating DOA is analyzed In addition Independent Component Analysis ICA and Principal Component Analysis PCA are reviewed analysed and used to assess a better estimator of DOA Based on the chaos theory fractal dimension of the EEG signal is measured and used for estimating DOA The results are evaluated and compared via appropriate statistical analyzers Results show the ability of spectral and bispectral parameters in predicting DOA Also the capability of the parameters such as fractal dimention and approximate entropy which are able to quantify the complexity of the EEG signal is shown It should be mentioned that none of above algorthims could estimate the DOA in all of the drug regimens and groups properly Accordingly we conclude that an ideal DOA monitor should use different signal processing algorithms and different adaptive segmentation methods and may use a combination of these policies in order to estimate the DOA more accurately pdfMachine Is a pdf writer that produces quality PDF files with ease Produce quality PDF files in seconds and preserve the integrity of your original documents Compatible across nearly all Windows platforms if you can print from a windows application you can use pdfMachine Get yours now

رسول امير فتاحي

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