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
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 journal › Article › Research › peer-review
TY - JOUR
T1 - Automated Epilepsy Prediction by Means of Visual Perception Testing and Digital EEG Processing Data
AU - Ruseckaite, Rasa
PY - 2001/1/1
Y1 - 2001/1/1
N2 - 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.
AB - 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.
KW - Classification
KW - Epilepsy
KW - Machine learning
KW - Samples
KW - Signal processing
UR - http://www.scopus.com/inward/record.url?scp=0346507577&partnerID=8YFLogxK
M3 - Article
VL - 12
SP - 455
EP - 468
JO - Informatica
JF - Informatica
SN - 0868-4952
IS - 3
ER -