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Empirical wavelet transform and wavelet mode decomposition for frequency characteristic extraction of EEG during sevoflurane general anesthesia

2023-10-04

Abstract excerpt

<h4>Purpose: </h4> Mode decomposition methods are used to extract the characteristic intrinsic mode function (IMF) from various multidimensional time-series signals. Here, we applied wavelet transform-based mode decomposition to analysis of an electroencephalogram (EEG) recorded during general anesthesia. Methods An empirical wavelet transform (EWT) algorithm and a wavelet mode decomposition (WMD) algorithm with...

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Literature Corpus work
72735d33-c893-5dd6-97c2-d188a1dfe8d9
DOI
10.21203/rs.3.rs-3388997/v1
Open publication

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Empirical wavelet transform and wavelet mode decomposition for frequency characteristic extraction of EEG during sevoflurane general anesthesiaDOI 10.21203/rs.3.rs-3388997/v1
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