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Image Search Results
Journal: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Article Title: Evaluation of Multi-layer Perceptron Neural Networks in Predicting Ankle Dorsiflexion in Healthy Adults using Movement-related Cortical Potentials for BCI-Neurofeedback Applications
doi: 10.1109/ICORR55369.2022.9896584
Figure Lengend Snippet: The effect of spatial filtering on MLP-NN classification accuracy. No-Filter shows the detection accuracy with no spatial filter. CAR shows the effect of re-referencing by Common Average Reference (CAR). CAR & Lap shows the effect of both re-referencing by CAR and applying the Laplacian filter. The standard deviations are [0.7,0.5, 0.6, 0.5,1.2,0.6] for the 1st to 6th bar, respectively. The accuracy of no-Filter dataset was significantly higher than those of CSP dataset and Laplacian dataset. The accuracy of CSP was significantly higher than Laplacian. Adding CAR did not changed the accuracies significantly.
Article Snippet:
Techniques:
Journal: IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Article Title: Evaluation of Multi-layer Perceptron Neural Networks in Predicting Ankle Dorsiflexion in Healthy Adults using Movement-related Cortical Potentials for BCI-Neurofeedback Applications
doi: 10.1109/ICORR55369.2022.9896584
Figure Lengend Snippet: True positive rates (TPR) and false rates (FPR).
Article Snippet:
Techniques: