Abstract
The paper presents new algorithm to evaluate instantaneous correlation of nonstationary Electroencephalogram (EEG) signals related to different brain leads. The method includes calculation of instantaneous values of spectral integrals by Continuous Wavelet Transform (CWT). To adjust spectral and temporal resolution of the signals we introduce the adaptive Morlet mother wavelet function with a control parameter. To test the technique we composed mathematical models of EEG signals based on real EEG record and special short-time elementary signals. We discuss the application of the method in different fields of physics.
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The work have been carried out with the financial support of State Assignment N 3.1446.2014/K.
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Bozhokin, S.V., Suslova, I.B. (2016). Instantaneous Wavelet Correlation of Spectral Integrals Related to Records from Different EEG Channels. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_6
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DOI: https://doi.org/10.1007/978-3-319-40663-3_6
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