Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG

Presurgical investigations for categorizing focal patterns are crucial, leading to localization and surgical removal of the epileptic focus. This paper presents a machine learning approach using information theoretic features extracted from high-frequency subbands to detect the epileptic focus from...

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Detalles Bibliográficos
Autores principales: Akter, Most. Sheuli, Islam, Md. Rabiul, Iimura, Yasushi, Sugano, Hidenori, Fukumori, Kosuke, Wang, Duo, Tanaka, Toshihisa, Cichocki, Andrzej
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184764/
https://www.ncbi.nlm.nih.gov/pubmed/32341371
http://dx.doi.org/10.1038/s41598-020-62967-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184764/
https://www.ncbi.nlm.nih.gov/pubmed/32341371
http://dx.doi.org/10.1038/s41598-020-62967-z

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