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Statistics of biophysical signal characteristics and state specificity of the human EEG |
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| Authors: | RM Dünki M Dressel |
| Institution: | aPhysics Institute, University of Zürich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland bCantonal Psychiatric Hospital, CH-8462 Rheinau, Switzerland cDepartment of Psychology, University of Konstanz, D-Konstanz, Germany |
| Abstract: | The arguments are given that local exponents obtained in multifractal analysis by two methods: wavelet transform modulus maxima (WTMM) and multifractal detrended fluctuation analysis (MDFA) allow to separate statistically hearts of healthy people and subjects suffering from reduced left ventricle systolic function (NYHA I–III class). Proposed indices of fractality suggest that a signal of human heart rate is a mixture of two processes: monofractal and multifractal ones. |
| Keywords: | ANOVA/MANOVA EEG Linear time-series analysis Nonlinear time-series analysis Data resampling Bayesian weights |
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