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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| 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 |