Studying Epileptic Activity Propagation: From Robust But Time-Consuming To Intelligent Information Processing Methodologies
- Authors
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Bamidis D. Panagiotis
CITY College, Affiliated Institution of the University of Sheffield, Dept. of Computer Science
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Zisis Alexandros
Medical School, Aristotle University of Thessaloniki, Lab of Medical Informatics
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- Abstract
- In this study intelligent biomedical information processing techniques are used in tracking epileptic activity propagation in patients with epilepsy. Although identification and detection of epileptic signatures from epileptic signals is also important and well managed by such techniques, reasons are given herein, that discuss why the above is not the most important issue in this field, but rather is the study of the propagation and development of epileptic activity itself. In this context, Independent Component Analysis (ICA) is utilised to study averaged epileptic signals from temporal lobe epileptics. The results are compared to those previously obtained by Magnetic Field Tomography (MFT) methodologies, and important findings are verified. Finally, the prospect of obtaining such sets of findings in a more intelligent and automatic methodology, so that they may, in future, become a blind procedure is discussed.
- References
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- Published
- 2002-03-31
- Issue
- Vol. 4 No. 1 (2002)
- Section
- Articles