Identification and monitoring of brain activity based on stochastic relevance analysis of short–time EEG rhythms

Background The extraction of physiological rhythms from electroencephalography (EEG) data and their automated analyses are extensively studied in clinical monitoring, to find traces of interictal/ictal states of epilepsy.