Position estimation of electrocortical generators
- Resource Type
- Conference
- Authors
- Klimovski, D.; Cricenti, A.L.; Egan, G.K.; Sergejew, A.A.
- Source
- Proceedings of 8th Workshop on Statistical Signal and Array Processing Statistical signal and array processing Statistical Signal and Array Processing, 1996. Proceedings., 8th IEEE Signal Processing Workshop on (Cat. No.96TB10004. :287-290 1996
- Subject
- Signal Processing and Analysis
General Topics for Engineers
Electroencephalography
Sensor arrays
Covariance matrix
Sensor systems
Brain modeling
Geometry
Biomedical measurements
Direction of arrival estimation
Signal processing
Gaussian noise
- Language
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.