On the implementation and improvement of automatic EEG spike detection algorithm
Articles
Andrius Vytautas Misiukas Misiūnas
Vilnius University
Tadas Meškauskas
Vilnius University
Algimantas Juozapavičius
Vilnius University
Published 2015-12-15
https://doi.org/10.15388/LMR.A.2015.11
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Keywords

EEG
epilepsy
EEG spikes
computer vision

How to Cite

Misiūnas A. V. M., Meškauskas T. and Juozapavičius A. (2015) “On the implementation and improvement of automatic EEG spike detection algorithm”, Lietuvos matematikos rinkinys, 56(A), pp. 60–65. doi: 10.15388/LMR.A.2015.11.

Abstract

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.

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