A Bayesian switching linear dynamical system for estimating seizure chronotypes

Epilepsy is a disorder characterized by paroxysmal transitions between multistable states. Dynamical systems have been useful for modeling the paroxysmal nature of seizures. At the same time, intracranial electroencephalography (EEG) recordings have recently discovered that an electrographic measure...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Emily T., Vannucci, Marina, Haneef, Zulfi, Moss, Robert, Rao, Vikram R., Chiang, Sharon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674238/
https://www.ncbi.nlm.nih.gov/pubmed/36343269
http://dx.doi.org/10.1073/pnas.2200822119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9674238/
https://www.ncbi.nlm.nih.gov/pubmed/36343269
http://dx.doi.org/10.1073/pnas.2200822119

Ejemplares similares