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A probabilistic algorithm for robust interference suppression in bioelectromagnetic sensor data
Magnetoencephalography (MEG) and electroencephalography (EEG) sensor measurements are often contaminated by several interferences such as background activity from outside the regions of interest, by biological and non-biological artifacts, and by sensor noise. Here, we introduce a probabilistic grap...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4060743/ https://ncbi.nlm.nih.gov/pubmed/17546712 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.2941 |
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