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How time window influences biometrics performance: an EEG-based fingerprints connectivity study
EEG-based biometric represents a relatively recent research field that aims to recognize individuals based on their recorded brain activity by means of electroencephalography (EEG).
On the variability of functional connectivity and network measures in source-reconstructed EEG time-series
The idea to estimate the statistical interdependence among (interacting) brain regions has motivated numerous researchers to investigate how the resulting connectivity patterns and networks may organize themselves under any conceivable scenario.
EEG fingerprinting: subject specific signature based on the aperiodic component of power spectrum
In this work, we aim to estimate the effect of individual variability on a set of very simple and easily interpretable features extracted from the EEG power spectra.
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