Double-Step Machine Learning Based Procedure for HFOs Detection and Classification

The need for automatic detection and classification of high-frequency oscillations (HFOs) as biomarkers of the epileptogenic tissue is strongly felt in the clinical field. In this context, the employment of artificial intelligence methods could be the missing piece to achieve this goal. This work pr...

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Detalles Bibliográficos
Autores principales: Sciaraffa, Nicolina, Klados, Manousos A., Borghini, Gianluca, Di Flumeri, Gianluca, Babiloni, Fabio, Aricò, Pietro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226084/
https://www.ncbi.nlm.nih.gov/pubmed/32276318
http://dx.doi.org/10.3390/brainsci10040220

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226084/
https://www.ncbi.nlm.nih.gov/pubmed/32276318
http://dx.doi.org/10.3390/brainsci10040220

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