EEG signals analysis using multiscale entropy for depth of anesthesia monitoring during surgery through artificial neural networks

DOI10.1155/2015/232381zbMath1335.92052OpenAlexW2163519033WikidataQ36146256 ScholiaQ36146256MaRDI QIDQ278143

Quan Liu, Jiann-Shing Shieh, Maysam F. Abbod, Shou-Zen Fan, Yifeng Chen

Publication date: 2 May 2016

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/232381

zbMATH Keywords

depth of anesthesiamultiscale entropymultivariate empirical mode decomposition

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Neural networks for/in biological studies, artificial life and related topics (92B20) Medical applications (general) (92C50)

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Cites Work

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