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FACET – a “Flexible Artifact Correction and Evaluation Toolbox” for concurrently recorded EEG/fMRI data
BACKGROUND: In concurrent EEG/fMRI recordings, EEG data are impaired by the fMRI gradient artifacts which exceed the EEG signal by several orders of magnitude. While several algorithms exist to correct the EEG data, these algorithms lack the flexibility to either leave out or add new steps. The here...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2013
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3840732/ https://ncbi.nlm.nih.gov/pubmed/24206927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2202-14-138 |
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