An automated, KS-statistic-based way to choose modified diffusion entropy analysis parameters is proposed and used to show complexity synchronization among EEG, ECG, and filtered respiration during a cognitive task.
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Complexity synchronization analysis of neurophysiological data: Theory and methods
An automated, KS-statistic-based way to choose modified diffusion entropy analysis parameters is proposed and used to show complexity synchronization among EEG, ECG, and filtered respiration during a cognitive task.