Title :
Subspace based MEG source detection
Author :
Rodríguez, A. ; Limpiti, Thunyawat ; Baryshnikov, B.V. ; Van Veen, B.D. ; Wakai, R.T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
fDate :
28 Sept.-1 Oct. 2003
Abstract :
The effect of mapping data into a subspace prior to performing detection of dipolar sources in white noise is assessed in this paper. The subspace transformations are designed to accurately represent sources in a specified region of interest. The transformation attenuates sources outside the region, reducing the sensitivity of the detector to external interference. A statistical analysis of detector performance and illustrative examples are provided.
Keywords :
magnetoencephalography; medical signal detection; medical signal processing; statistical analysis; MEG source detection; dipolar sources; external interference; sensitivity; statistical analysis; subspace transformations; white noise; Biomedical engineering; Brain modeling; Detectors; Electroencephalography; Interference; Least squares methods; Performance analysis; Physics computing; Statistical analysis; White noise;
Conference_Titel :
Statistical Signal Processing, 2003 IEEE Workshop on
Print_ISBN :
0-7803-7997-7
DOI :
10.1109/SSP.2003.1289397
