Name
Abstract | ||
|---|---|---|
The objective of this work is to identify similarities in the spatio-temporal dynamics of epileptic seizures, record with scalp EEG. A comprehensive method is proposed and applied in EEG of the patients who suffer from temporal lobe epilepsy. The method is based on the computation of the time-varying degree of non linear correlation between scalp electrodes at seizure onset and during seizure spread, determined by a nonlinear regression analysis. The quantification and coding of these similarity relations allow the comparison between two epileptic networks. Results show that reproducible patterns may be extracted from different seizures of the same patient and confirm the existence of different subtypes of temporal lobe epilepsy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.bspc.2007.07.002 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
EEG,Epilepsy,seizure,Similarity,Edit distance | Pattern recognition,Epilepsy,Correlation,Artificial intelligence,Scalp,Scalp eeg,Mathematics,Electroencephalography,Temporal lobe | Journal |
Volume | Issue | ISSN |
2 | 3 | 1746-8094 |
Citations | PageRank | References |
3 | 0.54 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valérie Louis-Dorr | 1 | 70 | 9.35 |
| Matthieu Caparos | 2 | 3 | 0.54 |
| Fabrice Wendling | 3 | 331 | 30.78 |
| J P Vignal | 4 | 38 | 2.61 |
| Didier Wolf | 5 | 11 | 1.41 |