A self-adapting system for the automated detection of inter-ictal epileptiform discharges.

• There is a lack of knowledge regarding spatial autocorrelation and Kriging issues among Portuguese GIS users. • Spatial autocorrelation and Kriging software within W3 with

Each dialeptic event - epileptic or non-epileptic - was classified according to the presence of ictal scalp EEG chang- es in: 1) “Dialeptic complex partial TLS”: well-formed, high

The events were classiied according to the degree of ictal motor activity (severe, moderate and mild/absent) in: severe epileptic (SE, N=17), severe non-epileptic (SNE, N=6),

Focal indings in JME cases include: outbreaks of focal slow waves that are independent of generalized epileptiform discharges (GED); independent focal epileptiform discharges,

In conclusion, although eEEG is an underutilized diag- nostic tool, the frequency of EEGs presenting epileptiform activity was high in patients with unexplained

Apóia programas de residência médica em Medicina de Família e Comunidade (PRM-MFC), por meio do Programa de Bolsas para a Educação pelo Trabalho, do Ministério da Saúde

The second methodology used a set of 477 epileptiform events, and 657 non-epileptiform events between background activity, eye blinks, and noise in order to test wavelet

Our study aims to analyze the sensibility of the electro- encephalogram (EEG) in demonstrating the pathological abnormalities of the background activity and the presence of