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 c...
Main Authors: | Andrius Vytautas Misiukas Misiūnas, Tadas Meškauskas, Algimantas Juozapavičius |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2015-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/14931 |
Similar Items
-
Derivative parameters of electroencephalograms and their measurement methods
by: Andrius Vytautas Misiukas Misiūnas, et al.
Published: (2016-12-01) -
EEG analysis – automatic spike detection
by: Algimantas Juozapavičius, et al.
Published: (2012-01-01) -
EEG resting state analysis of cortical sources in patients with benign epilepsy with centrotemporal spikes
by: Azeez Adebimpe, et al.
Published: (2015-01-01) -
Dense array EEG (dEEG) source estimation in neocortical epilepsy
by: Madoka eYamazaki, et al.
Published: (2013-05-01) -
Resting‐State EEG Functional Connectivity in Children with Rolandic Spikes with or without Clinical Seizures
by: Chang, H., et al.
Published: (2022)