Title :
Normalized Bispectrum Ratio: Parameter for estimating depth of anesthesia
Author :
Ferdous, Nusrat ; Kiber, Md Adnan
Author_Institution :
Dept. of Electron. & Commun. Eng., Inst. of Sci. & Technol., Bangladesh
Abstract :
Electroencephalogram (EEG) is the brain signal containing valuable information about the conscious and unconscious state of the brain, which may provide a useful tool to measure depth of anesthesia. In order to avoid complex and time consuming interpretation of raw EEG signals a common approach is to extract a single univariate value (if possible) that represents the patient´s depth of anesthesia. In this paper, a novel index, Normalized Bispectrum Ratio, RB is proposed which is based upon the difference between bispectrum values of EEG signals of conscious and unconscious states of human.
Keywords :
electroencephalography; feature extraction; medical signal processing; signal sampling; EEG; anesthesia; brain conscious state; brain signal; brain unconscious state; electroencephalogram; normalized bispectrum ratio; parameter depth estimation; signal sampling; single univariate value extraction; Electroencephalography; Humans; Standards;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
DOI :
10.1109/ICIEV.2012.6317544