The depth of anesthesia under sevoflurane can be monitored based on calling names language paradigm and Ag/AgCl electrooculogram electrode

Jun Liu,Guozheng Wang, Zhen-gang Cao, Fan Hang,Kangli Dong,Delin Zhang

MATERIALS EXPRESS(2022)

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摘要
In the depth of anesthesia monitoring, electrooculogram is usually treated as an artifact of EEG. However, the amplitude of the electrooculogram is much greater than that of electroencephalography. Its requirements for electrode materials and detection circuits are also far lower than electroencephalography. In this prospec-IP: 2038 10920 On: Mon 23 Jan 2023 06:42:21 tive cohort study, we use a new languae paradigm that licited rhythmic ocular muscle activity to explore Copyrigh : American Scentific Publishers whether the electrooculogram can be used for monitorinthe depth of anesthesia. Thirty-three patients Delivered by Ing enta inhaled sevoflurane via a laryngeal mask for induction of anesthesia. According to the end-tidal sevoflurane concentration, patients were studied under three depth of sedation. Throughout all periods, the rhythmic calling of the patient's own name script was sporadically played at a frequency of 0.5 Hz. We found that the electrooculogram was synchronized to the language paradigm during induction with sevoflurane, and the Ag/AgCl electrode has a significantly higher signal-to-noise ratio and 0.5 hz spectral peak value than other electrode. With the increase in the sevoflurane concentration, the synchronizing ability gradually weak-ened and eventually disappeared. Based on this evidence, we proposed a new method that can improve the performance of the anesthesia prediction monitoring model.
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关键词
Anesthetic Depth Monitoring,Electrooculogram,One?s Own Names,Machine Learning,Auditory Stimulation
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