Electroencephalography (EEG) is a critical tool for monitoring brain activity and diagnosing neurological disorders such as epilepsy. However, learning meaningful representations from raw EEG signals remains challenging due to limited annotations, substantial inter-subject variability, and complex temporal dynamics. Re...
Hong-Pu-Ah Jia, Sim Kuan Goh, Zi-Wei Zhang et al.· IEEE journal of biomedical a...· 8 citations
Electroencephalography (EEG) is a critical tool for monitoring brain activity and diagnosing neurological disorders such as epilepsy. However, learning meaningful representations from raw EEG signals remains challenging due to limited annotations, substantial inter-subject variability, and complex temporal dynamics. Re...
Hong-Pu-Ah Jia, Sim Kuan Goh, Zi-Wei Zhang et al.· IEEE journal of biomedical a...· 0 citations
Electroencephalography (EEG) decoding models often generalize poorly across datasets and subjects due to domain shifts in acquisition protocols and individual neurophysiology, but EEG-PRIME achieves balanced accuracy comparable to within-session calibration models without target-domain optimization, calibration, or lin...
Shuai-Lei Zhang, Muyun Jiang, Wei Zhang et al.· 0 citations
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