Fuzzy Lyapunov exponent based onset detection of the epileptic seizures
Various algorithms have been proposed for the detection of onset of epilepsy. Here we have used the Rosenstein algorithm to calculate the Largest Lyapunov exponent of the given Electroencephalogram (EEG) signal. We have combined this algorithm with fuzzy-rule based system. A fuzzy interference syste...
Saved in:
| Published in | 2013 IEEE Conference on Information and Communication Technologies pp. 701 - 706 |
|---|---|
| Main Authors | , , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.04.2013
|
| Subjects | |
| Online Access | Get full text |
| ISBN | 9781467357593 1467357596 |
| DOI | 10.1109/CICT.2013.6558185 |
Cover
| Summary: | Various algorithms have been proposed for the detection of onset of epilepsy. Here we have used the Rosenstein algorithm to calculate the Largest Lyapunov exponent of the given Electroencephalogram (EEG) signal. We have combined this algorithm with fuzzy-rule based system. A fuzzy interference system is employed to detect the normal and the onset of epilepsy. |
|---|---|
| ISBN: | 9781467357593 1467357596 |
| DOI: | 10.1109/CICT.2013.6558185 |