Application of the Beating Method to Define the Electroencephalogram α−Rhythm Frequency Content
Year: 2024
Type: article
Abstract: Among plenty of the brain oscillation electrical patterns, the spindle oscillations in the alpharhythm band has main functional significance, in particular in emotional, memory, motivation and attention processes. At the same time, signal processing techniques well developed in radio engineering are not used in electroencephalogram (EEG) processing. For the first time the beating method was applied to electroencephalograms. It is shown that the beating method allows the determination of α−rhythm frequencies, which are not always resoluted using Furrier transform. EEG is non-stationary process that’s why instantaneous frequency is a very important characteristics of EEG. The calculation of instantaneous frequency values was carried out based on the Hilbert transform and intersection detector method. A comparative analysis of electroencephalograms frequency content obtained by Furrier transform, Hilbert transform and Zero-level intersection detector method was carried out.
Source: TEM Journal
DOI: 10.18421/tem134-04
Institutions: Bulgarian Academy of Sciences, Institute of Mathematics and Informatics, University of Mining and Geology "Saint Ivan Rilski", Brera Astronomical Observatory, National Institute for Astrophysics, Institute of Neurology, Psychiatry and Narcology, National Academy of Medical Sciences of Ukraine
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $647
Funder: Simons Foundation
Award: G1583279591
OpenAlex ID: W4404920312
