This paper introduces the notion of the instantaneous frequency (IF) based generalized phase synchrony in time-frequency analysis based on the concept of cointegration. This phase synchrony is then quantified by investigating the linear relationships between IF laws of nonstationary multivariate signals. The proposed approach is applied to a multichannel newborn EEG signal and the results are compared with that of a bivariate phase synchrony measure
The chapters thus far have described quantitative tools that can be used to extract information from...
International audienceFor the past decades, numerous works have been dedicated to the development of...
A number of tests exist to check for statistical significance of phase synchronisation within the El...
This paper introduces the notion of the instantaneous frequency (IF) based generalized phase synchro...
This paper establishes the relevance of the GePS measure for quantifying the global phase synchroniz...
Phase synchrony assessment across non-stationary multivariate signals is a useful way to characteriz...
Inter-hemispheric asynchrony within the multichannel recordings of newborn EEG is associated with ab...
The quantification of phase synchrony between brain signals is of crucial importance for the study o...
Multivariate time series analysis is extensively used in neurophysiology with the aim of studying th...
The study of complex systems consisting of many interacting subsystems requires the use of analytica...
The present work introduces an analysis framework for the detec-tion of transient synchronized state...
Analog signals of the cerebral cortex in behaving subjects frequently express strong oscillatory com...
Synchronization behavior of electroencephalographic (EEG) signals is important for decoding informat...
The phase synchrony analysis of stochastic time series is considered with a view towards its applica...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
The chapters thus far have described quantitative tools that can be used to extract information from...
International audienceFor the past decades, numerous works have been dedicated to the development of...
A number of tests exist to check for statistical significance of phase synchronisation within the El...
This paper introduces the notion of the instantaneous frequency (IF) based generalized phase synchro...
This paper establishes the relevance of the GePS measure for quantifying the global phase synchroniz...
Phase synchrony assessment across non-stationary multivariate signals is a useful way to characteriz...
Inter-hemispheric asynchrony within the multichannel recordings of newborn EEG is associated with ab...
The quantification of phase synchrony between brain signals is of crucial importance for the study o...
Multivariate time series analysis is extensively used in neurophysiology with the aim of studying th...
The study of complex systems consisting of many interacting subsystems requires the use of analytica...
The present work introduces an analysis framework for the detec-tion of transient synchronized state...
Analog signals of the cerebral cortex in behaving subjects frequently express strong oscillatory com...
Synchronization behavior of electroencephalographic (EEG) signals is important for decoding informat...
The phase synchrony analysis of stochastic time series is considered with a view towards its applica...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
The chapters thus far have described quantitative tools that can be used to extract information from...
International audienceFor the past decades, numerous works have been dedicated to the development of...
A number of tests exist to check for statistical significance of phase synchronisation within the El...