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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 ...
Classification of fetal movement accelerometry through time-frequency features
(
IEEE
, 2014 , Conference Paper)
This paper presents a time-frequency approach for fetal movement monitoring which is based on classification of accelerometry signals collected from pregnant women's abdomen. Features extracted from time-frequency distribution ...