Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning

Objective: Automated seizure detection is a key aspect of wearable seizure warning systems. As a result, the quality of life of refractory epilepsy patients could be improved. Most state-of-the-art algorithms for heart rate-based seizure detection use a so-called patient-independent approach, which...

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Detalles Bibliográficos
Autores principales: De Cooman, Thomas, Vandecasteele, Kaat, Varon, Carolina, Hunyadi, Borbála, Cleeren, Evy, Van Paesschen, Wim, Van Huffel, Sabine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054223/
https://www.ncbi.nlm.nih.gov/pubmed/32161573
http://dx.doi.org/10.3389/fneur.2020.00145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7054223/
https://www.ncbi.nlm.nih.gov/pubmed/32161573
http://dx.doi.org/10.3389/fneur.2020.00145

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