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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Biomedicines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9059/10/7/1491 |