An automated, machine learning–based detection algorithm for spike‐wave discharges (SWDs) in a mouse model of absence epilepsy

OBJECTIVE: Manual detection of spike‐wave discharges (SWDs) from electroencephalography (EEG) records is time intensive, costly, and subject to inconsistencies/biases. In addition, manual scoring often omits information on SWD confidence/intensity, which may be important for the investigation of mec...

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Detalles Bibliográficos
Autores principales: Pfammatter, Jesse A., Maganti, Rama K., Jones, Mathew V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Full‐length Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398153/
https://www.ncbi.nlm.nih.gov/pubmed/30868121
http://dx.doi.org/10.1002/epi4.12303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398153/
https://www.ncbi.nlm.nih.gov/pubmed/30868121
http://dx.doi.org/10.1002/epi4.12303

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