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Jiulong Zhang

1 accepted papers

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…

Cited by 0SourceScholar