Abstract: Electroencephalogram (EEG) signal-based emotion classification is vital in the ever-growing human-computer interface (HCI) applications. However, the chaotic, non-stationary, and ...
Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...
A Python package/wrapper for the Copenhagen Brain Entropy Toolbox (CopBET), a collection of functions for evaluating 12 different entropy metrics described in the paper Navigating the chaos of ...
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