This work presents an automated method based on the autoregressive (AR) modelling of the electroencephalogram (EEG). The EEG signal is divided in short segments (typically 2 seconds) and AR models subsequently evaluated. The model parameters quantify each segment and constitute features for classification using pattern recognition techniques. The method was validated with a data set including three types of epi...
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