A predictive epilepsy index based on probabilistic classification of interictal spike waveforms

Quantification of interictal spikes in EEG may provide insight on epilepsy disease burden, but manual quantification of spikes is time-consuming and subject to bias. We present a probability-based, automated method for the classification and quantification of interictal events, using EEG data from k...

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Detalles Bibliográficos
Autores principales: Pfammatter, Jesse A., Bergstrom, Rachel A., Wallace, Eli P., Maganti, Rama K., Jones, Mathew V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219811/
https://www.ncbi.nlm.nih.gov/pubmed/30399183
http://dx.doi.org/10.1371/journal.pone.0207158

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219811/
https://www.ncbi.nlm.nih.gov/pubmed/30399183
http://dx.doi.org/10.1371/journal.pone.0207158

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