TY - JOUR AU - Hassanpour, Hamid AU - Mesbah, Mostefa AU - Boashash, Boualem PY - 2004 DA - 2004/12/02 TI - Time-Frequency Feature Extraction of Newborn EEG Seizure Using SVD-Based Techniques JO - EURASIP Journal on Advances in Signal Processing SP - 898124 VL - 2004 IS - 16 AB - The nonstationary and multicomponent nature of newborn EEG seizures tends to increase the complexity of the seizure detection problem. In dealing with this type of problems, time-frequency-based techniques were shown to outperform classical techniques. This paper presents a new time-frequency-based EEG seizure detection technique. The technique uses an estimate of the distribution function of the singular vectors associated with the time-frequency distribution of an EEG epoch to characterise the patterns embedded in the signal. The estimated distribution functions related to seizure and nonseizure epochs were used to train a neural network to discriminate between seizure and nonseizure patterns. SN - 1687-6180 UR - https://doi.org/10.1155/S1110865704406167 DO - 10.1155/S1110865704406167 ID - Hassanpour2004 ER -