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.
Authors
- Velin Andonov (ORCID: https://orcid.org/0000-0001-5055-3867)
- Л.П. Забродіна (ORCID: https://orcid.org/0000-0001-8756-3479)
- Oksana Kharchenko (ORCID: https://orcid.org/0000-0002-1553-0966)
- Zlatinka Svetoslavova Kovacheva (ORCID: https://orcid.org/0000-0001-7401-3072)
- Volodymyr Chumakov (ORCID: https://orcid.org/0000-0001-6418-8688)
Institutions
- 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)
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