Use of Fourier analysis and discriminant function analysis of electroencephalogram to determine anesthetic depth

• Main Author: Rose, Debra Schafer, 1958-
• Other Authors: Mylrea, Kenneth C.
• Language: en_US
• Published: The University of Arizona. 1987
• Subjects: Electroencephalography > Analysis.
• Online Access: http://hdl.handle.net/10150/276613

This 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.