Time–Frequency Analysis of Electroencephalograph Signals Using the Hilbert–Huang Transform
- Authors: Tychkov A.Y.1
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Affiliations:
- Research Institute for Fundamental and Applied Studies, Penza State University
- Issue: Vol 53, No 2 (2019)
- Pages: 102-107
- Section: Article
- URL: https://journal-vniispk.ru/0006-3398/article/view/236045
- DOI: https://doi.org/10.1007/s10527-019-09886-0
- ID: 236045
Cite item
Abstract
This article proposes a new use of the Hilbert−Huang transform (HHT) in the preliminary processing and analysis of EEG signals. EEG signal recordings are analyzed using HHT to study patterns of changes in patients with mental disorders. Variants of EEG signals in different coordinate systems are analyzed. Results from analysis of EEG signals demonstrated a relationship between the amplitude−time parameters of HHT and the presence of mental disorders in patients.
About the authors
A. Yu. Tychkov
Research Institute for Fundamental and Applied Studies, Penza State University
Author for correspondence.
Email: tychkov_a@mail.ru
Russian Federation, Penza
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