Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings

Real-time seizure detection is a resource intensive process as it requires continuous monitoring of patients on stereoelectroencephalography. This study improves real-time seizure detection in drug resistant epilepsy (DRE) patients by developing patient-specific deep learning models that utilize a n...

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Detalles Bibliográficos
Autores principales: Martini, Michael L., Valliani, Aly A., Sun, Claire, Costa, Anthony B., Zhao, Shan, Panov, Fedor, Ghatan, Saadi, Rajan, Kanaka, Oermann, Eric Karl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021582/
https://www.ncbi.nlm.nih.gov/pubmed/33820942
http://dx.doi.org/10.1038/s41598-021-86891-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8021582/
https://www.ncbi.nlm.nih.gov/pubmed/33820942
http://dx.doi.org/10.1038/s41598-021-86891-y

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