Development of a generative model of magnetoencephalography noise that enables brain signal extraction from single-epoch data.
We presented a method of rejecting sensor-specific and environmental noise during magnetoencephalography (MEG) measurement that enables the extraction of brain signals from single-epoch data. The method assumes a parametric generative model of MEG data. The model's optimal parameters were determined...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 51; no. 8; pp. 937 - 952 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Aug2013
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| Acceso en línea: | Ver este registro en EBSCOhost |