Epileptic activity recognition in EEG recording

L. DIAMBRA; BASTOS DE FIGUEIREDO; C.P. MALTA

Physica A

Elsevier

Año: 1999 vol. 273 p. 495 - 505

0378-4371

We apply Approximate Entropy (ApEn) algorithm in order to recognize epileptic activity in electroencephalogram recordings. ApEn is a recently developed statistical quantity for quantify- ing regularity and complexity. Our approach is illustrated regarding di erent types of epileptic activity. In all segments associated with epileptic activity analyzed here the complexity of the signal measured by ApEn drops abruptly. This fact can be useful for automatic recognition and detection of epileptic seizures.