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EEG-based automatic epilepsy diagnosis using the instantaneous frequency with sub-band energies
(
IEEE
, 2011 , Conference Paper)
This paper presents a novel approach for classifying the electroencephalogram (EEG) signals as normal or abnormal. This method uses features derived from the
instantaneous frequency (IF) and energies of EEG signals in ...
Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals
(
IEEE
, 2014 , Conference Paper)
This paper presents new time-frequency (T-F) features to improve the detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived from the ...