SEGMENTATION OF DEPTH-EEG SEIZURE SIGNALS - METHOD BASED ON A PHYSIOLOGICAL PARAMETER AND COMPARATIVE-STUDY

The analysis of stereoelectroencephalographic (intracerebral recording ) signals provides information on the electrical activity of brain str uctures implied in epileptic seizures. A simple nonparametric adaptive segmentation method, based on a physiologically relevant parameter, i s presented and compared with three methods reported in the literature . The comparative frame allows us to objectively test methods for thei r performances on the same basis. Results show that the proposed metho d is robust with respect to the types of change studied and easier to conduct, even if it is less accurate about the estimation of instants of change than another method presented in this study. Signals are seg mented throughout the duration of seizures without parameter readjustm ent and generate instants of change in accordance with those interacti vely delimited by the clinician.