Prospective Study of a Multimodal Convulsive Seizure Detection Wearable System on Pediatric and Adult Patients in the Epilepsy Monitoring Unit

Background: Using machine learning to combine wrist accelerometer (ACM) and electrodermal activity (EDA) has been shown effective to detect primarily and secondarily generalized tonic-clonic seizures, here termed as convulsive seizures (CS). A prospective study was conducted for the FDA clearance of...

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Detalles Bibliográficos
Autores principales: Onorati, Francesco, Regalia, Giulia, Caborni, Chiara, LaFrance, W. Curt, Blum, Andrew S., Bidwell, Jonathan, De Liso, Paola, El Atrache, Rima, Loddenkemper, Tobias, Mohammadpour-Touserkani, Fatemeh, Sarkis, Rani A., Friedman, Daniel, Jeschke, Jay, Picard, Rosalind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418082/
https://www.ncbi.nlm.nih.gov/pubmed/34489858
http://dx.doi.org/10.3389/fneur.2021.724904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418082/
https://www.ncbi.nlm.nih.gov/pubmed/34489858
http://dx.doi.org/10.3389/fneur.2021.724904

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