A Comprehensive Machine-Learning-Based Software Pipeline to Classify EEG Signals: A Case Study on PNES vs. Control Subjects

The diagnosis of psychogenic nonepileptic seizures (PNES) by means of electroencephalography (EEG) is not a trivial task during clinical practice for neurologists. No clear PNES electrophysiological biomarker has yet been found, and the only tool available for diagnosis is video EEG monitoring with...

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Detalles Bibliográficos
Autores principales: Varone, Giuseppe, Gasparini, Sara, Ferlazzo, Edoardo, Ascoli, Michele, Tripodi, Giovanbattista Gaspare, Zucco, Chiara, Calabrese, Barbara, Cannataro, Mario, Aguglia, Umberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071461/
https://www.ncbi.nlm.nih.gov/pubmed/32102437
http://dx.doi.org/10.3390/s20041235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7071461/
https://www.ncbi.nlm.nih.gov/pubmed/32102437
http://dx.doi.org/10.3390/s20041235

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