Subspace based MEG source detection

Subspace based MEG source detection

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,...

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Bibliographische Detailangaben
Hauptverfasser: Rodriguez, A., Limpiti, T., Baryshnikov, B.V., Van Veen, B.D., Wakai, R.T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Biomedical engineering
Brain modeling
Detectors
Electroencephalography
Interference
Least squares methods
Performance analysis
Physics computing
Statistical analysis
White noise
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/SSP.2003.1289397