Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings
Abstract Real-time seizure detection is a resource intensive process as it requires continuous monitoring of patients on stereoelectroencephalography. This study improves real-time seizure detection in drug resistant epilepsy (DRE) patients by developing patient-specific deep learning models that ut...
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Main Authors: | , , , , , , , , |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Subjects: | |
Online Access: | https://doaj.org/article/d773d42d7cf9413393bd341e9a21fbe5 |
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