Article

Assessment of Anesthetic Depth Through EEG Mode Decomposition Using Singular Spectrum Analysis

2026-01-01

Abstract excerpt

(1) Background: Electroencephalography (EEG) is widely used to monitor the depth of anesthesia; however, conventional Fourier-based analyses are limited in their ability to characterize non-stationary anesthetic-induced EEG dynamics. In this study, we investigated the utility of singular spectrum analysis (SSA) combined with the Hilbert transform for extracting physiologically meaningful EEG features during sevofl...

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Literature Corpus work: 0265f7b6-cdb4-5cad-ae5a-baab1875adfe
DOI: 10.20944/preprints202601.0015.v1

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