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 language | English |
|---|---|
| Pages (from-to) | 455-468 |
| Number of pages | 14 |
| Journal | Informatica |
| Volume | 12 |
| Issue number | 3 |
| Publication status | Published - 1 Jan 2001 |
| Externally published | Yes |
Keywords
- Classification
- Epilepsy
- Machine learning
- Samples
- Signal processing