3 papers
eess.SP2024
EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
Haili Ye, Stephan Goerttler, Fei He
Electroencephalogram (EEG) is a valuable technique to record brain electrical activity through electrodes placed on the scalp. Analyzing EEG signals contributes to the understandin…
eess.SP2024
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
Stephan Goerttler, Fei He, Min Wu
The prospect of future treatment warrants the development of cost-effective screening for Alzheimer's disease (AD). A promising candidate in this regard is electroencephalography (…
eess.SP2024
Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Stephan Goerttler, Fei He, Min Wu
Heat diffusion describes the process by which heat flows from areas with higher temperatures to ones with lower temperatures. This concept was previously adapted to graph structure…