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 c...

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Bibliographic Details
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:
EEG
epilepsy
EEG spikes
computer vision
Online Access:https://www.journals.vu.lt/LMR/article/view/14931
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spelling doaj-d4ff2341e4aa4653a9d69e0fd420e0da2020-11-24T21:59:51ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2015-12-0156A10.15388/LMR.A.2015.11On the implementation and improvement of automatic EEG spike detection algorithmAndrius Vytautas Misiukas Misiūnas0Tadas Meškauskas1Algimantas Juozapavičius2Vilnius UniversityVilnius UniversityVilnius University 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. https://www.journals.vu.lt/LMR/article/view/14931EEGepilepsyEEG spikescomputer vision
collection DOAJ
language English
format Article
sources DOAJ
author Andrius Vytautas Misiukas Misiūnas
Tadas Meškauskas
Algimantas Juozapavičius
spellingShingle Andrius Vytautas Misiukas Misiūnas
Tadas Meškauskas
Algimantas Juozapavičius
On the implementation and improvement of automatic EEG spike detection algorithm
Lietuvos Matematikos Rinkinys
EEG
epilepsy
EEG spikes
computer vision
author_facet Andrius Vytautas Misiukas Misiūnas
Tadas Meškauskas
Algimantas Juozapavičius
author_sort Andrius Vytautas Misiukas Misiūnas
title On the implementation and improvement of automatic EEG spike detection algorithm
title_short On the implementation and improvement of automatic EEG spike detection algorithm
title_full On the implementation and improvement of automatic EEG spike detection algorithm
title_fullStr On the implementation and improvement of automatic EEG spike detection algorithm
title_full_unstemmed On the implementation and improvement of automatic EEG spike detection algorithm
title_sort on the implementation and improvement of automatic eeg spike detection algorithm
publisher Vilnius University Press
series Lietuvos Matematikos Rinkinys
issn 0132-2818
2335-898X
publishDate 2015-12-01
description 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.
topic EEG
epilepsy
EEG spikes
computer vision
url https://www.journals.vu.lt/LMR/article/view/14931
work_keys_str_mv AT andriusvytautasmisiukasmisiunas ontheimplementationandimprovementofautomaticeegspikedetectionalgorithm
AT tadasmeskauskas ontheimplementationandimprovementofautomaticeegspikedetectionalgorithm
AT algimantasjuozapavicius ontheimplementationandimprovementofautomaticeegspikedetectionalgorithm
_version_ 1725846856850735104

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