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...

Descripción completa

Detalles Bibliográficos
Autores principales: Glaser, Johann, Beisteiner, Roland, Bauer, Herbert, Fischmeister, Florian Ph.S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840732/
https://www.ncbi.nlm.nih.gov/pubmed/24206927
http://dx.doi.org/10.1186/1471-2202-14-138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3840732/
https://www.ncbi.nlm.nih.gov/pubmed/24206927
http://dx.doi.org/10.1186/1471-2202-14-138

Ejemplares similares