The use of digital signal processing and machine learning to improve EEG analysis for medical diagnosis has gained traction in recent years. This is because EEG visual analysis can be complex and time ...

To tackle this issue, this article proposes an adaptive attention-modulated graph network (AdamGraph) to enhance the subject adaptability of EEG emotion recognition against connection variability and ...

FreqDGT is a novel deep learning framework for cross-subject EEG emotion recognition that addresses the fundamental challenges of individual variability and dynamic brain connectivity. Our model ...