Automatic Seizure Detection and Prediction Based on Brain Connectivity Features and a CNNs Meet Transformers Classifier

(1) Background: Epilepsy is a neurological disorder that causes repeated seizures. Since electroencephalogram (EEG) patterns differ in different states (inter-ictal, pre-ictal, and ictal), a seizure can be detected and predicted by extracting various features. However, the brain connectivity network...

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Detalles Bibliográficos
Autores principales: Tian, Ziwei, Hu, Bingliang, Si, Yang, Wang, Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216314/
https://www.ncbi.nlm.nih.gov/pubmed/37239292
http://dx.doi.org/10.3390/brainsci13050820

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10216314/
https://www.ncbi.nlm.nih.gov/pubmed/37239292
http://dx.doi.org/10.3390/brainsci13050820

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