Name
Abstract | ||
|---|---|---|
Automatic detection of epileptic seizures, by means of online or offline procedures, is a matter of continuous research that commits many research groups. Electroencephalographic (EEG) detection is affected by interference due to specific electrode interference that can be removed by different techniques, namely, beamforming, proposed in this paper. This technique allows improving epilepsy identification technique without performing a precise selecting of higher-order spectra. This is an expanded version of a paper presented at the 3rd IEEE International Workshop on Medical Measurements and Applications, 9 10 May 2008, Ottawa, ON, Canada. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1504/IJAMC.2009.026855 | IJAMC |
Keywords | Field | DocType |
different technique,automatic detection,epilepsy identification technique,beamformer-aided processing,expanded version,ieee international workshop,specific electrode interference,eeg signal,epileptic seizure,medical measurements,continuous research,research group,electroencephalography,uncertainty,power spectrum,beamforming | Signal processing,Beamforming,Seizure detection,Telecommunications,Eeg signal processing,Computer science,Computer network,Epilepsy,Speech recognition,Spectral density,Interference (wave propagation),Electroencephalography | Journal |
Volume | Issue | Citations |
3 | 1/2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aime Lay-Ekuakille | 1 | 7 | 3.47 |
| Giuseppe Vendramin | 2 | 0 | 0.34 |
| Amerigo Trotta | 3 | 12 | 2.74 |