Performance of the electroencephalography inverse problem using electric potential gradient measurements

Author

von Ellenrieder, N. ; Muravchik, C. ; Spinelli, E. ; Nehorai, A. ; Roitman, J. ; Silva, W. ; Kochen, S.

Author_Institution

Univ. Nacional de La Plata, Argentina

Volume

3

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

2814

Abstract

The EEG inverse problem is traditionally solved with measurements from an array of electric potential sensors. In this work we analyze the expected performance if electric potential gradient measurements were used to solve the inverse problem. We use the Cramer-Rao bound (CRB) to analyze and compare the performance of the two cases. The spatial covariance of the noise is estimated from real EEG measurements.

Keywords

bioelectric potentials; biomedical measurement; biosensors; electroencephalography; inverse problems; physiological models; Cramer-Rao bound; EEG; electric potential gradient measurements; electric potential sensors; electroencephalography; inverse problem; spatial covariance; Brain modeling; Electric potential; Electric variables measurement; Electrodes; Electroencephalography; Inverse problems; Magnetic sensors; Noise measurement; Performance analysis; Sensor arrays;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1280503

Filename

1280503