Comparison between traditional fast Fourier transform and marginal spectra using the Hilbert–Huang transform method for the broadband spectral analysis of the electroencephalogram in healthy humans

Comparison between traditional fast Fourier transform and marginal spectra using the Hilbert–Huang transform method for the broadband spectral analysis of the electroencephalogram in healthy humans

Abstract The fast Fourier transform (FFT) has been the main tool for electroencephalographic (EEG) Spectral Analysis (SPA). However, as the EEG dynamics show nonlinear and non‐stationary behavior, results using the FFT approach may result meaningless. A novel method has been developed for the analys...

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Bibliographic Details
Main Authors: Eduardo Arrufat‐Pié, Mario Estévez‐Báez, José Mario Estévez‐Carreras, Calixto Machado‐Curbelo, Gerry Leisman, Carlos Beltrán
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:Engineering Reports
Subjects:
EEG
Hilbert–Huang transform
multivariate empirical mode decomposition
non‐stationary analysis
spectral analysis
Online Access:https://doi.org/10.1002/eng2.12367

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