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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...

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Autori principali: Glaser, Johann, Beisteiner, Roland, Bauer, Herbert, Fischmeister, Florian Ph.S
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2013
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Accesso 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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