A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification

• Päätekijät: Jin Xie (Tekijä), Jie Zhang (Tekijä), Jiayao Sun (Tekijä), Zheng Ma (Tekijä), Liuni Qin (Tekijä), Guanglin Li (Tekijä), Huihui Zhou (Tekijä), Yang Zhan (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: IEEE, 2022-01-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

The attention mechanism of the Transformer has the advantage of extracting feature correlation in the long-sequence data and visualizing the model. As time-series data, the spatial and temporal dependencies of the EEG signals between the time points and the different channels contain important infor...