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-Reference-Cited by-同舟云学术

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

Published:2021-02 Issue: Volume: Page:
ISSN:2577-8196
Container-title:Engineering Reports
language:en
Short-container-title:Engineering Reports

Author:

Arrufat‐Pié Eduardo¹,Estévez‐Báez Mario²,Estévez‐Carreras José Mario³,Machado‐Curbelo Calixto²,Leisman Gerry⁴⁵^ORCID,Beltrán Carlos²

Affiliation:

1. University Hospital “Dr. Manuel Fajardo Rivero” Havana Cuba

2. Department of Clinical Neurophysiology Institute of Neurology and Neurosurgery Havana Cuba

3. Laboratory of Neurophysiology University Hospital “Dr. Luis Díaz Soto” Havana Cuba

4. Faculty of Social Welfare and Health Sciences University of Haifa Haifa Israel

5. Department of Neurology University of the Medical Sciences Havana Cuba

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eng2.12367

Reference65 articles.

1. Selection of an efficient feature space for EEG-based mental task discrimination

2. Classification of Normal, Ictal and Inter-ictal EEG via Direct Quadrature and Random Forest Tree

3. Time–frequency analysis of neuronal populations with instantaneous resolution based on noise-assisted multivariate empirical mode decomposition

4. Low-Density EEG for Neural Activity Reconstruction Using Multivariate Empirical Mode Decomposition

5. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis

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