Automated Epilepsy Prediction by Means of Visual Perception Testing and Digital EEG Processing Data

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

This paper describes a preliminary algorithm performing epilepsy prediction by means of visual perception tests and digital electroencephalographdata analysis. Special machine learning algorithm and signal processing method are used. The algorithm is tested on real data of epileptic and healthy persons that are treated in Kaunas Medical University Clinics, Lithuania. The detailed examination of results shows that computerized visual perception testing and automated data analysis could be used for brain damages diagnosing.

Original languageEnglish
Pages (from-to)455-468
Number of pages14
JournalInformatica
Volume12
Issue number3
Publication statusPublished - 1 Jan 2001
Externally publishedYes

Keywords

  • Classification
  • Epilepsy
  • Machine learning
  • Samples
  • Signal processing

Cite this

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Automated Epilepsy Prediction by Means of Visual Perception Testing and Digital EEG Processing Data. / Ruseckaite, Rasa.

In: Informatica, Vol. 12, No. 3, 01.01.2001, p. 455-468.

Research output: Contribution to journalArticleResearchpeer-review

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