The first chapter presents methods for analyzing nonstationary physiological signals. Among them are 1) the method of continuous wavelet analysis, which allows obtaining the local and integral distribution of the energy of the wavelet spectrum of the signal over frequencies in a certain time interval, as well as providing information on the cross-wavelet spectrum and wavelet coherence of two signals; 2) methods for assessing the multifractality of a signal by searching for the maxima of the wavelet transform modulus maxima and by analyzing fluctuations relative to the trend; 3) the method of recurrent analysis, which allows to identify the quantitative parameters of the evolution of the signal in time, 4) the method of bifurcation an...
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the...
In the light of the results obtained during the last two decades in analysis of signals by time ser...
International audienceThis paper is aimed at presenting the two main classes of nonstationary signal...
This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing i...
In this chapter the authors deal with a few methods of nonlinear wavelet analysis for the characteri...
grantor: University of TorontoThis thesis explores the analysis and modeling of sensori-m...
Abstract: In data processing, the fundamental idea behind wavelets is to analyze according to scale,...
An approach to the processing of physiological signals is considered combining multifractal formalis...
none4Wavelet transform has emerged over recent years as a favoured tool for the investigation of bio...
The nonlinear dynamical system which models the axon impulse activity is studied through the analysi...
Spectral analysis methods are now routinely used in electrophysiological studies of human and animal...
Abstract: Problem statement: The time frequency analysis of non-stationary signals has been the cons...
This technical paper deals with the application of the Wavelet Transform to the study of evoked pote...
This paper illustrates different approaches to the analysis of biological signals based on non-linea...
The usefulness of the information extracted from biomedical data relies heavily on the underlying th...
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the...
In the light of the results obtained during the last two decades in analysis of signals by time ser...
International audienceThis paper is aimed at presenting the two main classes of nonstationary signal...
This book examines theoretical and applied aspects of wavelet analysis in neurophysics, describing i...
In this chapter the authors deal with a few methods of nonlinear wavelet analysis for the characteri...
grantor: University of TorontoThis thesis explores the analysis and modeling of sensori-m...
Abstract: In data processing, the fundamental idea behind wavelets is to analyze according to scale,...
An approach to the processing of physiological signals is considered combining multifractal formalis...
none4Wavelet transform has emerged over recent years as a favoured tool for the investigation of bio...
The nonlinear dynamical system which models the axon impulse activity is studied through the analysi...
Spectral analysis methods are now routinely used in electrophysiological studies of human and animal...
Abstract: Problem statement: The time frequency analysis of non-stationary signals has been the cons...
This technical paper deals with the application of the Wavelet Transform to the study of evoked pote...
This paper illustrates different approaches to the analysis of biological signals based on non-linea...
The usefulness of the information extracted from biomedical data relies heavily on the underlying th...
Electroencephalography (EEG) is the recording of electrical activity along the scalp produced by the...
In the light of the results obtained during the last two decades in analysis of signals by time ser...
International audienceThis paper is aimed at presenting the two main classes of nonstationary signal...