Analyzing EEG signal data for detection of epileptic seizure: Introducing weight on visibility graph with complex network feature

Supriya, Siuly, Hua Wang, Guangping Zhuo, Yanchun Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

In the medical community, automatic epileptic seizure detection through electroencephalogram (EEG) signals is still a very challenging issue for medical professionals and also for the researchers. When measuring an EEG, huge amount of data are obtained with different categories. Therefore, EEG recording can be characterized as big data due to its high volume. Traditional methods are facing challenges to handle such Big Data as it exhibits non-stationarity, chaotic, voluminous, and volatile in nature. Motivated by this, we introduce a new idea for epilepsy detection using complex network statistical property by measuring different strengths of the edges in the natural visibility graph theory. We conducted 10-fold cross validation for evaluating the performance of our proposed methodology with support vector machine (SVM) and Discriminant Analysis (DA) families of classifiers. This study aims to investigate the effect of segmentation and non-segmentation of EEG signals in the detection of epilepsy disorder.

Original languageEnglish
Title of host publicationDatabases Theory and Applications - 27th Australasian Database Conference, ADC 2016, Proceedings
EditorsMuhammad Aamir Cheema, Wenjie Zhang, Lijun Chang
PublisherSpringer Verlag
Pages56-66
Number of pages11
ISBN (Print)9783319469218
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event27th Australasian Database Conference on Databases Theory and Applications, ADC 2016 - Sydney, United States
Duration: 28 Sep 201629 Sep 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9877 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th Australasian Database Conference on Databases Theory and Applications, ADC 2016
Country/TerritoryUnited States
CitySydney
Period28/09/1629/09/16

Keywords

  • Average weighted degree
  • Complex network
  • EEG
  • Epilepsy
  • SVM and LDA
  • Visibility graph

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