Interpretation of RQA variables: Application to the prediction of epileptic seizures
Wassila Hamadene, Laurent Peyrodie, Haouaria Seidiri · 2006
Epilepsy is characterized by the sudden occurrence of seizures disturbing the epileptic patients. Several nonlinear methods have been suggested to predict the onset of epileptic seizures from intracranial or scalp electroencephalogram (EEG) data as "dynamical similarity index analysis" and the "correlation dimension method". Here, special interest is focussed on the focal seizures prediction from scalp EEG data using a nonlinear method called recurrence quantification analysis (RQA)