Distinguishing false and true positive detections of high frequency oscillations

OBJECTIVE. High frequency oscillations (HFOs) are a promising biomarker of tissue that instigates seizures. However, ambiguous data and random background fluctuations can cause any HFO detector (human or automated) to falsely label non-HFO data as an HFO (a false positive detection). The objective o...

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Detalles Bibliográficos
Autores principales: Gliske, Stephen V, Qin, Zihan, Lau, Katy, Alvarado-Rojas, Catalina, Salami, Pariya, Zelmann, Rina, Stacey, William C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547344/
https://www.ncbi.nlm.nih.gov/pubmed/32932244
http://dx.doi.org/10.1088/1741-2552/abb89b

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547344/
https://www.ncbi.nlm.nih.gov/pubmed/32932244
http://dx.doi.org/10.1088/1741-2552/abb89b

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