Automated Detection of Seizure Types from the Higher-Order Moments of Maximal Overlap Wavelet Distribution

In this work, an attempt has been made to develop an automated system for detecting electroclinical seizures such as tonic-clonic seizures, complex partial seizures, and electrographic seizures (EGSZ) using higher-order moments of scalp electroencephalography (EEG). The scalp EEGs of the publicly av...

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Detalles Bibliográficos
Autores principales: Mathew, Joseph, Sivakumaran, Natarajan, Karthick, P. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955002/
https://www.ncbi.nlm.nih.gov/pubmed/36832108
http://dx.doi.org/10.3390/diagnostics13040621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955002/
https://www.ncbi.nlm.nih.gov/pubmed/36832108
http://dx.doi.org/10.3390/diagnostics13040621

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