REAL: Robust EEG Analysis and Labeling for Chronic Migraine Patients Amidst Label Noises
These findings highlight REAL's potential to mitigate label noise, advancing EEG-based migraine research and aiding the development of reliable diagnostic tools for clinical practice. By improving data integrity and capturing subtle neural signatures, the effects of noisy labels are mitigated by REAL, thereby supporting accurate migraine detection.
Authors
- Kong-Yi Chang
- Kuan‐Lin Lai (ORCID: https://orcid.org/0000-0002-2436-6555)
- Lin-Fan Gong (ORCID: https://orcid.org/0009-0009-6064-7395)
- Chun‐Hsiang Chuang (ORCID: https://orcid.org/0000-0002-5043-8380)
Institutions
- National Tsing Hua University (TW)
- Taipei Veterans General Hospital (TW)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1109/tbme.2025.3613393
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00