PROPERTIES AND PARAMETER SELECTION FOR PHASE SYNCHRONY PROCESSING OF EEG SIGNALS

摘要: The phase synchrony analysis of stochastic time series is considered with a view towards its application in EEG (electroencephalogram) processing. A Phase Synchrony Processor proposed and properties are examined on the basis known signals. observed dependence coefficient parameters, such as filter bandwidth length time-window, may - especially low cases lead to biased results. parameters can be chosen judiciously based results study artificially generated signals synchrony. To illustrate importance parameter choices available, presented actual EEG.