A Novel Permutation Entropy-Based EEG Channel Selection for Improving Epileptic Seizure Prediction

The key research aspects of detecting and predicting epileptic seizures using electroencephalography (EEG) signals are feature extraction and classification. This paper aims to develop a highly effective and accurate algorithm for seizure prediction. Efficient channel selection could be one of the s...

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Detalles Bibliográficos
Autores principales: Ra, Jee S., Li, Tianning, Li, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659444/
https://www.ncbi.nlm.nih.gov/pubmed/34883976
http://dx.doi.org/10.3390/s21237972

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659444/
https://www.ncbi.nlm.nih.gov/pubmed/34883976
http://dx.doi.org/10.3390/s21237972

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