A systematic evaluation of Euclidean alignment with deep learning for EEG decoding
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ad4f18
Abstract: Objective: Electroencephalography signals are frequently used for various Brain–Computer interface (BCI) tasks. While deep learning (DL) techniques have shown promising results, they are hindered by the substantial data requirements. By leveraging data from multiple subjects,… read more here.
Keywords: deep learning; euclidean alignment; systematic evaluation; evaluation euclidean ... See more keywords
Lightweight Source-Free Domain Adaptation Based on Adaptive Euclidean Alignment for Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2024.3463737
Abstract: For privacy protection of subjects in electroencephalogram (EEG)-based brain-computer interfaces (BCIs), using source-free domain adaptation (SFDA) for cross-subject recognition has proven to be highly effective. However, updating and storing a model trained on source subjects… read more here.
Keywords: euclidean alignment; source free; brain computer; source ... See more keywords