2017
A new chaotic feature for EEG classification based seizure diagnosis
ICASSP 2017accepted
Seeking effective measures to characterize the chaotic patterns of EEG signals for seizure diagnosis is a long-term endeavor in the literature. We propose to count the number of zero-crossing (ZC) points on Poincaré surface as a feature when the time series of interest is embedded into the reconstru…