A Novel Approach to Alpha Spindle Analysis

The article examines alpha-rhythm spindles. The importance of studying alpha rhythm spindles for improving the reliability of nervous system diagnostics is substantiated. The analysis employs a mathematical framework based on the Hilbert transform as well as spectral analysis based on the classical Fourier transform. Using the Hilbert transform, the instantaneous frequency of the spindles is determined. It is shown that a spindle is not an amplitude-modulated oscillation and a spindle can be described using the beating method. Two frequencies are obtained that determine the frequency composition of the spindles. It is shown that the beating method is more accurate compared to the Fourier transform.

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Publication Details

Journal
Axioms
Published
2026-11-04
DOI
https://doi.org/10.3390/axioms15110820
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

A Novel Approach to Alpha Spindle Analysis

Velin Andonov, Л.П. Забродіна, Oksana Kharchenko, Zlatinka Svetoslavova Kovacheva et al.
Axioms
EEG and Brain-Computer Interfaces
article

A Novel Approach to Alpha Spindle Analysis

Velin Andonov, Л.П. Забродіна, Oksana Kharchenko, Zlatinka Svetoslavova Kovacheva, Volodymyr Chumakov
article en

Abstract

The article examines alpha-rhythm spindles. The importance of studying alpha rhythm spindles for improving the reliability of nervous system diagnostics is substantiated. The analysis employs a mathematical framework based on the Hilbert transform as well as spectral analysis based on the classical Fourier transform. Using the Hilbert transform, the instantaneous frequency of the spindles is determined. It is shown that a spindle is not an amplitude-modulated oscillation and a spindle can be described using the beating method. Two frequencies are obtained that determine the frequency composition of the spindles. It is shown that the beating method is more accurate compared to the Fourier transform.

AxiomsVol. 15(11)
Bulgarian Academy of Sciences (BG), Institute of Mathematics and Informatics (BG), University of Mining and Geology "Saint Ivan Rilski" (BG), Institute of Neurology, Psychiatry and Narcology (UA), V. N. Karazin Kharkiv National University (UA)
Openalex Percentile: Top 17%
EEG and Brain-Computer Interfaces
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