[Aid to the diagnosis of epilepsy. Codification of EEG tracings for the characterization of detectable non-stationary phenomena].
The aim of automatic EEG analysis is to detect and class the significant events of the signal. For the detection phase an autoregressive model is developed giving rise to non-stationary points. The model used to analyse information in each event goes further than the problem of existence or non-existence. It is possible to understand qualitative aspects regarding the recognition of typical patterns of epilepsy such as 'spike and waves' providing a preliminary classification of the pattern. Such a classification based on sentence coding established from quantities provided from the model leads to a qualitative understanding of the phenomenon. The first results are presented.
D003201:Computers; D004569:Electroencephalography; D004827:Epilepsy / Q000175:diagnosis*; D006801:Humans; D008959:Models, Neurological; D010363:Pattern Recognition, Automated
Aide au diagnostic de l'épilepsie. Codage d'un tracé EEG en vue de la caracterisation des phenomenes non stationnaires détectes.