Use of Fourier analysis and discriminant function analysis of electroencephalogram to determine anesthetic depth
AuthorRose, Debra Schafer, 1958-
KeywordsElectroencephalography -- Analysis.
AdvisorMylrea, Kenneth C.
MetadataShow full item record
PublisherThe University of Arizona.
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
AbstractThis study uses statistical techniques to determine anesthetic depths of three females undergoing total abdominal hysterectomies. Spectral analysis of the electronencephalogram is employed to define changes in brain wave activity under different levels of anesthesia after administration of diazepam and isoflurane. The multivariate statistical technique of discriminant function analysis is used to determine which frequencies, or linear combinations of frequencies, yield the most information for classification of the electronencephalogram samples into one of the three anesthetic depths (mild sedation, moderate anesthesia, and anesthetic sleep). Spectral analysis of the electronencephalogram showed similar results for all three patients after administration of diazepam (mild sedation), but widely varying results among patients during anesthesia using isoflurane. The combination of spectral analysis and discriminant function analysis showed reliable discrimination among the three anesthetic depths. The ability to discriminate was significantly improved when only two anesthetic depths were used.
Degree ProgramGraduate College
Electrical and Computer Engineering