Peculiarities of spectral and multifractal estimates of the brain microwave radiation

Abstract

The paper presents the results of dependency assessments of the spectral and multifractal analysis of the brain microwave radiation signals. Twenty neurology healthy volunteers participated in study. The biomedical signals formed by the dual-channel microwave radiometer. The research method used a machine-learning algorithm that allows predicting relation between the spectral power and the Hurst exponent. Compare the distribution of possible functions with data obtained from different channels were present. The results obtained allowed to demonstrate the absence interrelation between spectral and multifractal estimates of the brain microwave radiation signals.