SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables

This work presents SeizFt—a novel seizure detection framework that utilizes machine learning to automatically detect seizures using wearable SensorDot EEG data. Inspired by interpretable sleep staging, our novel approach employs a unique combination of data augmentation, meaningful feature extractio...

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Detalles Bibliográficos
Autores principales: Al-Hussaini, Irfan, Mitchell, Cassie S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451805/
https://www.ncbi.nlm.nih.gov/pubmed/37627803
http://dx.doi.org/10.3390/bioengineering10080918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10451805/
https://www.ncbi.nlm.nih.gov/pubmed/37627803
http://dx.doi.org/10.3390/bioengineering10080918

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