2 documents found, page 1 of 1
Parametric Models for Characterization, Quantification and Defection of Epilept...
Vaz, Francisco António Cardoso; Príncipe, José CarlosThis work presents an automated method based on the autoregressive (AR) modelling of the electroencephalogram (EEG). The EEG signal is divided in short segments (typically 2 seconds) and AR models subsequently evaluated. The model parameters quantify each segment and constitute features for classification using pattern recognition techniques. The method was validated with a data set including three types of epi...
A System for the Microanalysis and Automatic classifiction of Sleep Electroence...
Tomé, Ana Maria Perfeito; Príncipe, José CarlosAutomatic sleep analysis has been a subject of interest since the sixties, mainly because of the growing importante of various sleep disorders. The visual analysis of sleep recordings is a tedious, laborious, time-consuming and expensive task. During a single night recording 400-500 meters of paper are produced and the visual analysis usually takes several hours of an expert.This work presents an environment wh...