DualDomain-AttenNet: Synergizing time-frequency analysis and attention mechanisms for Motor Imagery BCI enhancement

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Chien-Liang Liu, Po-Tsung Huang

Published: 01 Jan 2024, Last Modified: 03 Oct 2024Adv. Eng. Informatics 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Introduces DualDomain-AttenNet, blending time and frequency domain EEG analysis.•Uses advanced attention mechanisms for better EEG signal interpretation.•Outperforms current models in motor imagery BCI classification tasks.•Shows robust performance across diverse subject data for BCIs.•Conducts detailed ablation study to validate the efficacy of model components.