An investigation of the specificity of features of early stages of Parkinson's disease obtained using the method of cortex electrical activity analysis based on wave trains

We developed a new method of signal analysis based on wavelet analysis, ROC-analysis, and non-parametric statistics for detailed investigation of the time-frequency dynamics of the electrical activity of the cerebral cortex. The idea of the method is in that the electroencephalogram (EEG) is conside...

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Veröffentlicht in:	Journal of physics. Conference series 2018-09, Vol.1096 (1), p.12078
Hauptverfasser:	Sushkova, O S, Morozov, A A, Gabova, A V, Karabanov, A V
Format:	Artikel
Sprache:	eng
Schlagworte:	Cerebral cortex Electroencephalography Frequency ranges Parameter identification Parkinson's disease Power spectral density Signal analysis Wave packets Wavelet analysis
Online-Zugang:	Volltext
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