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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Detalles Bibliográficos
Autores principales: Frishkoff, Gwen A., Frank, Robert M., Rong, Jiawei, Dou, Dejing, Dien, Joseph, Halderman, Laura K.
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246027/
https://www.ncbi.nlm.nih.gov/pubmed/18301711
http://dx.doi.org/10.1155/2007/14567

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246027/
https://www.ncbi.nlm.nih.gov/pubmed/18301711
http://dx.doi.org/10.1155/2007/14567

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