Wavelet Correlation of Non-stationary Bursts of EEG

S. V. Bozhokin, I. B. Suslova

2021

Abstract

The problem of non-stationary correlation of signals recorded in various EEG channels of the human brain is considered. Each signal is represented as a sequence of bursts occurring at different times in different spectral ranges. To solve the problem of detecting the relationship of these signals, the authors introduced a new wavelet correlation function WCF. The WCF function allows you to detect the correlation of individual bursts of different EEG channels that have the same frequency, but different times of occurrence. The WCF function is built on the basis of continuous wavelet transforms of two signals taken at different points in time. For the considered recording data of two EEG channels, the burst correlations were classified. The proposed solution to the problem of correlation of EEG signals makes it possible to trace the propagation of disturbances in the cerebral cortex (traveling waves) and to reveal the synchronization of movement of evoked potentials.

Paper Citation

in Harvard Style

Bozhokin S. and Suslova I. (2021). Wavelet Correlation of Non-stationary Bursts of EEG. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS; ISBN 978-989-758-490-9, SciTePress, pages 142-149. DOI: 10.5220/0010196700002865

in Bibtex Style

@conference{biosignals21,
author={S. V. Bozhokin and I. B. Suslova},
title={Wavelet Correlation of Non-stationary Bursts of EEG},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS},
year={2021},
pages={142-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010196700002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 4: BIOSIGNALS
TI - Wavelet Correlation of Non-stationary Bursts of EEG
SN - 978-989-758-490-9
AU - Bozhokin S.
AU - Suslova I.
PY - 2021
SP - 142
EP - 149
DO - 10.5220/0010196700002865
PB - SciTePress