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Real-Time Decision Fusion for Multimodal Neural Prosthetic Devices

Figure 5

Results of decoders on 468 random trajectories (Erms mean ± s.e.).

The improvement of fusion algorithms over the combined individual decoders was statistically significant (p<1e-29 in both cases, two-tailed Welch's T-test). While the fusion Kalman filter produced the significantly more accurate outputs than the individual decoders, the ANN limited to a single topology did not perform as well, illustrating an advantage of the Kalman filter as a fusion method.

Figure 5

doi: https://doi.org/10.1371/journal.pone.0009493.g005