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

(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 an...

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Bibliografiset tiedot
Päätekijät: Haruka Kida, Tomomi Yamada, Shoko Yamochi, Yurie Obata, Fumimasa Amaya, Teiji Sawa
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: MDPI AG 2026-02-01
Sarja:Sensors
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Linkit:https://www.mdpi.com/1424-8220/26/4/1212
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