An Evaluation of the Channel Effect on Detecting the Preictal Stage in Patients With Epilepsy.

This study is an evaluation of the performances of EEG signals, obtained from different channels in the detection processes of epileptic stages, in epileptic individuals. In particular, it aimed to analyze the separation levels of preictal periods from other periods and to evaluate the effects of the electrode selection on seizure prediction studies. The EEG signals belong to 14 epileptic patients. A feature set was formed for each patient using 20 features widely used in epilepsy studies. The number of features was decreased to 8 using principal component analysis. The reduced feature set was divided into testing and training data, using the cross-validation method. The testing data were classified with linear discriminant analysis and the results of the classification were evaluated individually for each patient and channel. Variability of up to 29.48 % was observed in the average of classification accuracy due to the selection of channels. PMID: 33084398 [PubMed - as supplied by publisher]
Source: Clinical EEG and Neuroscience - Category: Neuroscience Authors: Tags: Clin EEG Neurosci Source Type: research