Investigating Power Density and the Degree of Nonlinearity in Intrinsic Components of Anesthesia EEG by the Hilbert-Huang Transform: An Example Using Ketamine and Alfentanil

Empirical mode decomposition (EMD) is an adaptive filter bank for processing nonlinear and non-stationary signals, such as electroencephalographic (EEG) signals. EMD works well to decompose a time series into a set of intrinsic mode functions with specific frequency bands. An IMF therefore represent...

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Detalles Bibliográficos
Autores principales: Tsai, Feng-Fang, Fan, Shou-Zen, Lin, Yi-Shiuan, Huang, Norden E., Yeh, Jia-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156388/
https://www.ncbi.nlm.nih.gov/pubmed/27973590
http://dx.doi.org/10.1371/journal.pone.0168108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156388/
https://www.ncbi.nlm.nih.gov/pubmed/27973590
http://dx.doi.org/10.1371/journal.pone.0168108

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