… 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 …

… 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) …

… 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. …

… has become very important to detect various human diseases. The most important and simple
aspect in processing EEG signals is to use time frequency analysis for possible diagnosis. …

… Then, taking into account the development of detection methods using TFMF-based methods
[2], [3], [6], this paper extends previous studies by bringing all existing seizure detection …

… 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 …

… 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 …

… tend to miss seizures that reveal themselves only in one of the frequency areas. … detection
method that uses time– frequency seizure features extracted from both low and high frequency …

… A new approach is presented in this analysis for automatic seizure detection. The feature
set is constructed from a set of features based on temporal, nonlinear-complex and statistical …