Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization

• Published in: IEEE transactions on instrumentation and measurement Vol. 72; p. 1
• Main Authors: Liang, Deng, Liu, Aiping, Gao, Yikai, Li, Chang, Qian, Ruobing, Chen, Xun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Adaptation models; Alignment; Brain modeling; Consistency; consistency regularization; Convulsions & seizures; Data models; Domains; Electroencephalogram (EEG); Electroencephalography; feature alignment; Feature extraction; Knowledge management; Modules; Prediction models; Regularization; seizure prediction; semi-supervised domain adaptation; Training

The inter-patient variability still poses a great challenge for the real-world application of EEG-based seizure prediction, where most previous methods could only work under the patient-specific fashion and fail to generalize across patients. To address this issue, some latest studies applied superv...