Support-vector classification of low-dose nitrous oxide administration with multi-channel EEG power spectra

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Title

Support-vector classification of low-dose nitrous oxide administration with multi-channel EEG power spectra

Content partner

The University of Auckland Library

Collection

ResearchSpace@Auckland

Description

Support-vector machines (SVMs) can potentially improve patient monitoring during nitrous oxide anaesthesia. By elucidating the effects of low-dose nitrous oxide on the power spectra of multi-channel EEG recordings, we quantified the degree to which these effects generalise across participants. In this single-blind, cross-over study, 32-channel EEG was recorded from 12 healthy participants exposed to 0, 20, 30 and 40% end-tidal nitrous oxide. Features of the delta-, theta-, alpha- and beta-ban...

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Format

Research paper

Research format

Journal article

Creator

Vrijdag, Xavier C E / Hallum, Luke E / Tonks, Emma I / van Waart, Hanna / Mitchell, Simon J / Sleigh, Jamie W

URL

https://hdl.handle.net/2292/70535

Related subjects

Frontal Lobe / Humans / Nitrous Oxide / Electroencephalography / Cross-Over Studies / Single-Blind Method / Support Vector Machine / Anaesthesia / EEG / Machine learning / Monitoring / 3208 Medical Physiology / 32 Biomedical and Clinical Sciences / Science & Technology / Life Sciences & Biomedicine / Anesthesiology / ANESTHESIA / ENTROPY / CONSCIOUSNESS / SIGNAL / INDEX / DEPTH / STATE / SLOW / 0903 Biomedical Engineering / 1103 Clinical Sciences / 3202 Clinical sciences

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