Curriculum Learning with Sampling Scheduler for Imbalanced EEG-Based Seizure Detection

Epileptic seizures pose serious health risks and significantly affect the quality of life for individuals with epilepsy, emphasizing the importance of accurate and timely detection. Despite advancements in electroencephalography (EEG) based seizure detection, class imbalance between seizure and non-...

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Bibliographic Details
Published in:The ... International Winter Conference on Brain-Computer Interface pp. 1 - 5
Main Authors: Choi, WooHyeok, Kim, Jun-Mo, Nam, Hyeonyeong, Kam, Tae-Eui
Format: Conference Proceeding
Language:English
Published: IEEE 24.02.2025
Subjects:
Accuracy
Brain modeling
Class Imbalance
Curriculum Learning
Data models
Dynamic scheduling
Electroen-cephalogram
Electroencephalography
Epilepsy
Epileptic Seizure
Hospitals
Machine learning
Sampling Scheduler
Scalp
Seizure Detection
Training
ISSN:2572-7672
Online Access:Get full text
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