An Automated Approach for Epilepsy Detection Based on Tunable Q-Wavelet and Firefly Feature Selection Algorithm

Detection of epileptic seizures using an electroencephalogram (EEG) signals is a challenging task that requires a high level of skilled neurophysiologists. Therefore, computer-aided detection provides an asset to the neurophysiologist in interpreting the EEG. This paper introduces a novel approach t...

Descripción completa

Detalles Bibliográficos
Autores principales: Sharaf, Ahmed I., El-Soud, Mohamed Abu, El-Henawy, Ibrahim M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151675/
https://www.ncbi.nlm.nih.gov/pubmed/30275820
http://dx.doi.org/10.1155/2018/5812872

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151675/
https://www.ncbi.nlm.nih.gov/pubmed/30275820
http://dx.doi.org/10.1155/2018/5812872

Ejemplares similares