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SMANet: A Model Combining SincNet, Multi-Branch Spatial—Temporal CNN, and Attention Mechanism for Motor Imagery BCI

Building a brain-computer interface (BCI) based on motor imagery (MI) requires accurately decoding MI tasks, which poses a significant challenge due to individual discrepancy among subjects and low signal-to-noise ratio of EEG signals. We propose an end-to-end deep learning model, Sinc-multibranch-a...

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Principais autores: Danjie Wang, Qingguo Wei
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2025-01-01
סדרה:IEEE Transactions on Neural Systems and Rehabilitation Engineering
נושאים:
Brain-computer interfaces
motor imagery
deep learning
SincNet
attention mechanism
גישה מקוונת:https://ieeexplore.ieee.org/document/10965876/
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