แนวคิดหลัก
Proposing DTP-Net for EEG artifact removal and signal reconstruction, outperforming existing methods.
สถิติ
EEG signals are easily corrupted by various artifacts.
Extensive experiments conducted on two public datasets.
DTP-Net outperforms state-of-the-art approaches.
Improvement in Signal-to-Noise Ratio (SNR) and Relative Root Mean Square Error (RRMSE) observed.
Classification accuracy in BCI task improved by up to 5.55%.
คำพูด
"DTP-Net significantly outperformed other methods in downstream analysis."
"Results show DTP-Net's superiority in EEG artifact removal."