Automated recognition of epilepsy from EEG signals using a combining space–time algorithm of CNN-LSTM

Intelligent recognition methods for classifying non-stationary and non-invasive epileptic diagnoses are essential tools in neurological research. Electroencephalogram (EEG) signals exhibit better temporal characteristics in the detection of epilepsy compared to radiation medical images like computed...

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Detalles Bibliográficos
Autores principales: Wang, Xiashuang, Wang, Yinglei, Liu, Dunwei, Wang, Ying, Wang, Zhengjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491650/
https://www.ncbi.nlm.nih.gov/pubmed/37684278
http://dx.doi.org/10.1038/s41598-023-41537-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491650/
https://www.ncbi.nlm.nih.gov/pubmed/37684278
http://dx.doi.org/10.1038/s41598-023-41537-z

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