In this paper, a time-frequency approach for detecting seizure activities in newborns Electroencephalogram (EEG) is proposed. In this approach
the discrimination between seizure and non-seizure states is based on the time-frequency distance between the consequent segments in the EEG signa Three different time-frequency measures and three different time-frequency reduced interference distributions (RIDs) are used in this study. The proposed method is tested on the EEG data acquired from three neonates with ages ranging from two days to two weeks. The experimental results validate the suitability of the proposed method in newborns’ seizure detection. The results show an average seizure detection rate of and false alarm rate of 5%
