Peculiarities of Application of Multifractal Analysis to Simultaneously Recorded Biomedical Signals

The aim of the article is to evaluate the applicability of multifractal methods to the analysis of biomedical signals. Among the known methods of multi- and monofractal formalism for the evaluation of short-term biomedical signals, the multifractal fluctuation (MFDFA) and cross-correlation (MFCCA) analysis approaches are of the greatest interest. In the article, we have evaluated the accuracy of the MFDFA and MFCCA approaches with the use of model time series of fractal Brown motion for certain Hurst exponent values. Next, model studies on stability assessment of the multifractal estimates in case of noise addition for investigation of the evaluation dependency on the different features of the modeled time series are considered. Peculiarities of application of multifractal analysis to simultaneously recorded biomedical signals are shown. Analysis of MFDFA and MFCCA approaches by the model signals have shown that such approaches can be applied to the assessment of short-term biomedical signals of the multichannel Radiophysical complex MRTHR.