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Machine Learning Characterization of Ictal and Interictal States in EEG Aimed at Automated Seizure Detection
Background: The development of automated seizure detection methods using EEG signals could be of great importance for the diagnosis and the monitoring of patients with epilepsy. These methods are often patient-specific and require high accuracy in detecting seizures but also very low false-positive...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312966/ https://www.ncbi.nlm.nih.gov/pubmed/35884796 http://dx.doi.org/10.3390/biomedicines10071491 |