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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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| Publié dans: | Front Neurol |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7054223/ https://ncbi.nlm.nih.gov/pubmed/32161573 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2020.00145 |
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