Name
Title | ||
|---|---|---|
Automatic seizure detection based on the activity of a set of current dipoles: first steps. |
Abstract | ||
|---|---|---|
In this paper we show advantages of using an advanced montage scheme with respect to the performance of automatic seizure detection systems. The main goal is to find the best performing montage scheme for our automatic seizure detection system. The new virtual montage is a fix set of dipoles within the brain. The current density signals for these dipoles are derived from the scalp EEG signals based on a smart linear transformation. The reason for testing an alternative approach is that traditional montages (reference, bipolar) have some limitations, e.g. the detection performance depends on the choice of the reference electrode and an extraction of spatial information is often demanding. In this paper we explain the detailed setup of how to adapt a modern seizure detection system to use current density signals. Furthermore, we show results concerning the detection performance of different montage schemes and their combination. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/EMBC.2012.6346558 | EMBC |
Keywords | Field | DocType |
scalp eeg signals,virtual montage,detection performance,current density signals,medical signal detection,smart linear transformation,biomedical electrodes,automatic seizure detection,electroencephalography,reference electrode,spatial information,brain,current dipoles,advanced montage scheme | Spatial analysis,Computer vision,Seizure detection,Computer science,Electronic engineering,Artificial intelligence,Linear map,Scalp eeg,Electroencephalography,Dipole | Conference |
Volume | ISSN | ISBN |
2012 | 1557-170X | 978-1-4577-1787-1 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gerhard Gritsch | 1 | 9 | 2.59 |
| M Hartmann | 2 | 0 | 0.68 |
| Hannes Perko | 3 | 0 | 1.69 |
| F Fürbaß | 4 | 0 | 2.03 |
| T. Kluge | 5 | 0 | 3.04 |