EEG epilepsy seizure prediction: the post-processing stage as a chronology.

ABSTRACT: Almost one-third of epileptic patients fail to achieve seizure control through anti-epileptic drug administration. In the scarcity of completely controlling a patient's epilepsy, seizure prediction plays a significant role in clinical management and providing new therapeutic options such as warning or intervention devices. Seizure prediction algorithms aim to identify the preictal period that Electroencephalogram (EEG) signals can capture. However, this period is associated with substantial heterogeneity, varying among patients or even between seizures from the same patient. The present work proposes a patient-specific seizure prediction algorithm using post-processing techniques to explore the existence of a set of chronological events of brain activity that precedes epileptic seizures. T

SUBMITTER: Batista J 

PROVIDER: S-EPMC10764904 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature