Self-Supervised Learning With Adaptive Graph Modeling for EEG-Based Epileptic Seizure Classification

This work introduces a data-efficient EEG analysis framework for seizure classification, enabling accurate prediction with minimal labeled data and showing strong potential for clinical application in resource- and label-constrained environments.

Authors

Wenli Zhang (ORCID: https://orcid.org/0000-0001-9077-4189)
Rencheng Sun (ORCID: https://orcid.org/0000-0003-2921-2659)
Qingyue Meng (ORCID: https://orcid.org/0000-0003-1277-4372)
Jian Liu (ORCID: https://orcid.org/0000-0001-8099-1868)
Yi Sui (ORCID: https://orcid.org/0009-0001-8081-5183)
Yue Hu

Institutions

Qingdao University (CN)
Qingdao University of Science and Technology (CN)
Affiliated Hospital of Qingdao University (CN)

Publication Details

Journal: IEEE Transactions on Biomedical Engineering
Published: 2025-09-03
DOI: https://doi.org/10.1109/tbme.2025.3605790
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Qingdao Key Health Discipline Development Fund
National Natural Science Foundation of China

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article

Self-Supervised Learning With Adaptive Graph Modeling for EEG-Based Epileptic Seizure Classification

Wenli Zhang, Rencheng Sun, Qingyue Meng, Jian Liu et al.

Sep 3, 2025

IEEE Transactions on Biomedical Engineering

EEG and Brain-Computer Interfaces

article

Self-Supervised Learning With Adaptive Graph Modeling for EEG-Based Epileptic Seizure Classification

Wenli Zhang, Rencheng Sun, Qingyue Meng, Jian Liu, Yi Sui, Yue Hu

September 3, 2025article en

Abstract

This work introduces a data-efficient EEG analysis framework for seizure classification, enabling accurate prediction with minimal labeled data and showing strong potential for clinical application in resource- and label-constrained environments.

IEEE Transactions on Biomedical EngineeringVol. 73(4)

Qingdao University (CN), Qingdao University of Science and Technology (CN), Affiliated Hospital of Qingdao University (CN)

Qingdao Key Health Discipline Development Fund, National Natural Science Foundation of China

Openalex Percentile: Top 77%

EEG and Brain-Computer Interfaces

DOI Source OpenAlex

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Self-Supervised Learning With Adaptive Graph Modeling for EEG-Based Epileptic Seizure Classification — Wenli Zhang, Rencheng Sun, et al. · IEEE Transactions on Biomedical Engineering (2025) | TGRS Research Map | TGRS