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

Article type: Research Article

Authors: Ruseckaitė, Rasa

Affiliations: Department of Computer Science, Vytautas Magnus University, Vileikos 8, 3000 Kaunas, Lithuania. E-mail: ruseckaite@rsbs.anu.edu.au

Abstract: This paper describes a preliminary algorithm performing epilepsy prediction by means of visual perception tests and digital electroencephalograph data 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.

Keywords: machine learning, classification, epilepsy, samples, signal processing

DOI: 10.3233/INF-2001-12307

Journal: Informatica, vol. 12, no. 3, pp. 455-468, 2001