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cs.LG2026
Leveraging a Foundation Model for the EEG-Based Diagnosis of Alzheimer's Disease
Maggie Lin, Chung-Lin Hou, Tzyy-Ping Jung
Biological heterogeneity in Alzheimer's Disease (AD) poses a critical diagnostic challenge, particularly for traditional linear methods that fail to capture non-linear neural dynam…
cs.LG2026
The Identity Trap in EEG Foundation Models: A Diagnostic Audit
Jun-You Lin, Ying Choon Wu, Tzyy-Ping Jung
Objective. EEG foundation models (FMs) report strong accuracy on clinical resting-state EEG. However, high accuracy under subject-disjoint cross-validation remains ambiguous: it ca…
cs.LG2025
IMU-Enhanced EEG Motion Artifact Removal with Fine-Tuned Large Brain Models
Yuhong Zhang, Xusheng Zhu, Yuchen Xu +4
Electroencephalography (EEG) is a non-invasive method for measuring brain activity with high temporal resolution; however, EEG signals often exhibit low signal-to-noise ratios beca…