… the suitability of the time-frequency (tf) analysis to classify EEG segments for epileptic
seizures and we compare several methods for tf analysis of EEGs. Short-time Fourier transform (…

… EEG signals (and mainly for neonatal epileptic seizure detection) and not EEG signals in
general. … The accuracy achieved by our method for the epileptic seizure detection is more than …

… In this paper epileptic seizure detection in EEG signal is presented … the SVM classifier
to classify/detect seizure EEG signal and normal … Autoregressive model and various time-frequency …

… time-frequency analysis, and classification using artificial neural network, is introduced. EEG
segments are analyzed using a time-frequency … distribution over the time-frequency plane. …

… patterns of observed time-frequency seizure signals and relate them to current knowledge
of seizures. In particular, initial results indicate that a quasi-linear instantaneous frequency (IF) …

… Similarly, other typical timefrequency analysis methods such as short-time Fourier transform
are also used for seizure detection [10]. Fractal dimension has been used in time series …

… Automated detection of seizures in EEG signals has clinical importance given that
manual … seizure detection is developed using features extracted from high-resolution time–frequency …

… Time-frequency (TF) based machine learning methodologies … of a system for detection of
seizure activity in real newborn … -class strategy improves the seizure detection accuracy in the …

… direct use of time–frequency features had the greatest impacts on the final seizure detection
… to the finding the RF being the best for seizure detection task in the literature. Our findings …

… TF seizure detection and classification. An in-depth analysis of the previously proposed
autocorrelation and spectrum seizure detection techniques identified the detection … TF seizure …