Showing 2,161 - 2,180 results of 39,282 for search '(( significant ((disease increases) OR (we decrease)) ) OR ( significant decrease decrease ))', query time: 0.76s Refine Results
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    Data Sheet 1_Increasing Mu wave desynchronization after dance classes on people with Parkinson’s disease.pdf by Jade Thalia Rodrigues Vilhalva (20924084)

    Published 2025
    “…The results showed a statistically significant increase in Mu rhythm desynchronization in the alpha 1 band at the central channels after 6 months of dance classes. …”
  17. 2177

    Data Sheet 2_Increasing Mu wave desynchronization after dance classes on people with Parkinson’s disease.pdf by Jade Thalia Rodrigues Vilhalva (20924084)

    Published 2025
    “…The results showed a statistically significant increase in Mu rhythm desynchronization in the alpha 1 band at the central channels after 6 months of dance classes. …”
  18. 2178
  19. 2179

    PCA-CGAN model parameter settings. by Chao Tang (10925)

    Published 2025
    “…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”
  20. 2180

    MIT-BIH dataset proportion analysis chart. by Chao Tang (10925)

    Published 2025
    “…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”