Position estimation of electrocortical generators

Author

Klimovski, D. ; Cricenti, A.L. ; Egan, G.K. ; Sergejew, A.A.

Author_Institution

Dept. of Electr. & Comput. Syst. Eng., Monash Univ., Clayton, Vic., Australia

fYear

1996

fDate

24-26 Jun 1996

Firstpage

287

Lastpage

290

Abstract

Using subspace techniques we present simulated results from investigating variations in the geometry of the sensor array for EEG measurements. We show that the performance of the subspace techniques degrades as the sources are brought closer to the array. This degradation can be counteracted by changing the curvature of the array. An optimum array curvature exists which exhibits the best detection performance for a given angle of arrival. We also present preliminary results applying subspace techniques to a sample of real EEG data

Keywords

direction-of-arrival estimation; electroencephalography; signal detection; spectral analysis; DOA estimation; EEG data; EEG measurements; angle of arrival; detection performance; electrocortical generators; optimum array curvature; position estimation; sensor array geometry; simulated results; subspace techniques performance; Biomedical measurements; Brain modeling; Covariance matrix; Direction of arrival estimation; Electroencephalography; Gaussian noise; Geometry; Sensor arrays; Sensor systems; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004

Conference_Location

Corfu

Print_ISBN

0-8186-7576-4

Type

conf

DOI

10.1109/SSAP.1996.534873

Filename

534873