A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns

This paper describes a framework for automated classification and labeling of patterns in electroencephalographic (EEG) and magnetoencephalographic (MEG) data. We describe recent progress on four goals: 1) specification of rules and concepts that capture expert knowledge of event-related potentials...

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Detalhes bibliográficos
Main Authors: Frishkoff, Gwen A., Frank, Robert M., Rong, Jiawei, Dou, Dejing, Dien, Joseph, Halderman, Laura K.
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2007
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2246027/
https://ncbi.nlm.nih.gov/pubmed/18301711
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2007/14567
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