Journal
2016 INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND SYSTEMS BIOLOGY (BSB)
Volume -, Issue -, Pages -Publisher
IEEE
DOI: 10.1109/BSB.2016.7552163
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A method of analysis of EEG wave trains based on wavelets and nonparametric statistics is developed. The method is compared with standard methods based on Fourier spectra and complex Morlet wavelets by the example of Parkinson's disease experimental data. We demonstrate that these methods are complementary, that is, the standard methods and the wave train analysis method reveal sufficiently different effects in the EEG data.
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