Estimation and modeling of EEG amplitude-temporal characteristics using a marked point process approach

Carlos A. Loza, Jose C. Principe

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

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Resumen

We propose a novel interpretation of single channel Electroencephalogram (EEG) traces based on the transient nature of encoded processes in the brain. In particular, the proposed framework models EEG as the output of the noisy addition of temporal, reoccurring, transient patterns known as phasic events. This is not only neurophysiologically sound, but it also provides additional information that classical EEG analysis often disregards. Furthermore, by utilizing sparse decomposition techniques, it is possible to obtain amplitude and timing that is further modeled using estimation and fitting techniques. We model Brain-Computer Interfaces (BCI) competition data features as Gaussian Mixture Model (GMM) samples in order to show the potential of working in the joint space of the parameters. The results not only preserve the topographic discriminant behavior but also expand the realm of possible EEG analysis.

Idioma originalInglés
Título de la publicación alojada2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas3720-3723
Número de páginas4
ISBN (versión digital)9781457702204
DOI
EstadoPublicada - 13 oct. 2016
Publicado de forma externa
Evento38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, Estados Unidos
Duración: 16 ago. 201620 ago. 2016

Serie de la publicación

NombreProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volumen2016-October
ISSN (versión impresa)1557-170X

Conferencia

Conferencia38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
País/TerritorioEstados Unidos
CiudadOrlando
Período16/08/1620/08/16

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