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Prediction of Individual Propofol Requirements based on Preoperative EEG Signals

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Authors

Kweon, Young-Seok; Lee, Minji; Won, Dong-Ok; Seo, Kwang-Suk

Issue Date
2020-02
Publisher
IEEE
Citation
2020 8TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), pp.237-241
Abstract
The patient must be given an adequate amount of propofol for safe surgery since overcapacity and low capacity cause accidents. However, the sensitivity of propofol varies from patient to patient, making it very difficult to determine the propofol requirements for anesthesia. This paper aims to propose a neurophysiological predictor of propofol requirements based on the preoperative electroencephalogram (EEG). We exploited the canonical correlation analysis that infers the amount of information on the propofol requirements. The results showed that the preoperative EEG included the factor that could explain the propofol requirements. Specifically, the frontal and posterior regions had crucial information on the propofol requirements. Moreover, there was a significantly different power in the frontal and posterior regions between baseline and unconsciousness periods, unlike the alpha power in the central region. These findings showed the potential that preoperative EEG could predict the propofol requirements.
ISSN
2572-7672
URI
https://hdl.handle.net/10371/187143
DOI
https://doi.org/10.1109/BCI48061.2020.9061631
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