.NET Project On  Automatic Detection Of Paroxysms In Eeg Signals Using Morphological Descriptors And artificial Neural Networks

ABSTRACT: The electroencephalogram (EEG) signal plays an important role in the diagnosis of epilepsy. The EEG recordings of the ambulatory recording system produce very lengthy information and the detection of the epileptic activity requires a time-consuming examination of the entire length of the EEG information by an expert. The traditional strategies for the investigation being […]