The objective of this thesis is to investigate how the human Electroencephalogram(EEG) is affected by anesthetic agents. The ultimate goal of the research is to improve clinical understanding of the EEG in anesthesia, and to determine the value of quantitative analytical techniques for generalizing or differentiating among anesthetic agents. Power spectrum and time domain analysis were conducted on EEG waveforms from 30 human, male volunteer subjects during sevoflurane and enflurane general anesthesia. Univariate parametric statistics and Discriminant Function Analysis (DFA) were performed to analyze and classify EEG spectral content. Statistically significant differences were found between the two anesthetics, duration of anesthetic period, and anesthetic depth levels. DFA classification of EEG epochs by anesthetic condition group was performed with a high degree of accuracy, especially when the stepwise analysis method was used.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/278297 |
| Date | January 1993 |
| Creators | Gale, Amy Ash, 1960- |
| Contributors | Mylrea, Kenneth C. |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Thesis-Reproduction (electronic) |
| Rights | Copyright © 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. |
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