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Mixtures of independent component analyzers for EEG prediction

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Mixtures of independent component analyzers for EEG prediction

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Safont Armero, G.; Salazar Afanador, A.; Vergara Domínguez, L.; Gonzalez, A.; Vidal Maciá, AM. (2012). Mixtures of independent component analyzers for EEG prediction. En Green and smart technology with sensor applications. Springer Verlag (Germany). 338:328-335. https://doi.org/10.1007/978-3-642-35251-5_46

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35381

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Metadatos del ítem

Título: Mixtures of independent component analyzers for EEG prediction
Autor: Safont Armero, Gonzalo Salazar Afanador, Addisson Vergara Domínguez, Luís Gonzalez, Alberto Vidal Maciá, Antonio Manuel
Entidad UPV: Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Fecha difusión:
Resumen:
This paper presents a new application of independent component analysis mixture modeling (ICAMM) for prediction of electroencephalographic (EEG) signals. Demonstrations in prediction of missing EEG data in a working memory ...[+]
Palabras clave: Electroencefalogramas , ICA , Predicción , Tareas de memoria , EEG , Prediction , Working-memory task
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-642-35250-8
Fuente:
Green and smart technology with sensor applications. (issn: 1865-0929 )
DOI: 10.1007/978-3-642-35251-5_46
Editorial:
Springer Verlag (Germany)
Versión del editor: http://link.springer.com/chapter/10.1007%2F978-3-642-35251-5_46
Título del congreso: International Conferences, GST and SIA 2012
Lugar del congreso: Jeju Island, Korea
Fecha congreso: November 28-December 2, 2012
Serie: Communications in Computer and Information Science;338
Código del Proyecto:
info:eu-repo/grantAgreement/GVA//PROMETEO%2F2010%2F040/
info:eu-repo/grantAgreement/GVA//ISIC%2F2012%2F006/
Agradecimientos:
This work has been supported by Generalitat Valenciana under grants PROMETEO/2010/040 and ISIC/2012/006
Tipo: Capítulo de libro

References

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