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Zero-Annotation Seizure Detection and Onset Zone Localization in Intracranial EEG via Self-Supervised Learning and Mahalanobis Distance Modeling

2026-05-09

Abstract excerpt

<title>Abstract</title> <p>Background and Objective: The detection of epileptic seizures in intracranial electroencephalography (iEEG) relies on segment by segment annotation by professional physicians, which hinders the promotion of automated systems in clinical practice. This study proposes a completely unsupervised seizure detection method that achieves high-precision seizure recognition and seizure onset zone...

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Literature Corpus work
d06748dd-2387-530f-99a3-a3e31ffa8b4a
DOI
10.21203/rs.3.rs-9568998/v1
Open publication

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Zero-Annotation Seizure Detection and Onset Zone Localization in Intracranial EEG via Self-Supervised Learning and Mahalanobis Distance ModelingDOI 10.21203/rs.3.rs-9568998/v1
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