On the implementation and improvement of automatic EEG spike detection algorithm

On the implementation and improvement of automatic EEG spike detection algorithm

The algorithm of automatic EEG spike detection and its implementation is described in this article. The algorithm implemented is based on mathematical morphological filters which distinguishes background brain activity from EEG spikes. The implementation of the algorithm is system independent, it ca...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Lietuvos matematikos rinkinys 2015-12, Vol.56 (A)
Hauptverfasser: Misiūnas, Andrius Vytautas Misiukas, Meškauskas, Tadas, Juozapavičius, Algimantas
Format: Artikel
Sprache:eng
Schlagworte:
computer vision
EEG
EEG spikes
epilepsy
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The algorithm of automatic EEG spike detection and its implementation is described in this article. The algorithm implemented is based on mathematical morphological filters which distinguishes background brain activity from EEG spikes. The implementation of the algorithm is system independent, it can be deployed on both personal computers and clusters with MPI parallel computing support.
ISSN:0132-2818
2335-898X
DOI:10.15388/LMR.A.2015.11