Cumulant analysis in wavelet space for studying effects of aging on electrical activity of the brain

G.A. Guyo, A.N. Pavlov, E.N. Pitsik, N.S. Frolov, A.A. Badarin, V.V. Grubov, O.N. Pavlova and A.E. Hramov

Chaos, Solitons & Fractals, 2022, vol. 158, issue C

Abstract: Multiresolution wavelet analysis with thorough processing of decomposition coefficients using a set of cumulants is proposed as a way to improve the characterization of complex dynamics based on experimental data. The application of this approach for quantification the effects of aging in the responses of the electrical activity of the brain to fine motor tasks (clenching the fist) is considered. It is shown that young and elderly adults have significant differences in reactions to this type of movements carried out by the dominant and non-dominant hand. The characterization of inter-group distinctions using the skewness and kurtosis of the probability distribution of the wavelet decomposition coefficients outperforms the diagnostics of age-related differences based on standard deviation of this distribution.

Keywords: Wavelet; Signal processing; Cumulant analysis; EEG; Aging effects (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:158:y:2022:i:c:s096007792200248x

DOI: 10.1016/j.chaos.2022.112038

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