4 papers
What Causes Performance Degradation in Cross-Subject EEG Classification?
Yihe Wang, Taida Li, Yujun Yan +2
The paper systematically studies why cross‑subject EEG classification performs worse than subject‑dependent classification, identifying inter‑subject variability and shortcut learn…
Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
Yihe Wang, Zhiqiao Kang, Bohan Chen +2
Event-related potential (ERP), a specialized paradigm of electroencephalographic (EEG), reflects neurological responses to external stimuli or events, generally associated with the…
LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
Yihe Wang, Nan Huang, Nadia Mammone +2
Electroencephalography (EEG) provides a non-invasive, highly accessible, and cost-effective approach for detecting Alzheimer's disease (AD). However, existing methods, whether base…
ADformer: A Multi-Granularity Spatial-Temporal Transformer for EEG-Based Alzheimer Detection
Yihe Wang, Nadia Mammone, Darina Petrovsky +3
Electroencephalography (EEG) has emerged as a cost-effective and efficient tool to support neurologists in the detection of Alzheimer's Disease (AD). However, most existing approac…