Stable and artifact-resistant decoding of 3D hand trajectories from ECoG signals using the generalized additive model.


OBJECTIVE The key criterion for reliability of brain-computer interface (BCI) devices is their stability and robustness in natural environments in the presence of spurious signals and artifacts. APPROACH To improve stability and robustness, a generalized additive model (GAM) is proposed for BCI decoder identification. Together with partial least squares… (More)
DOI: 10.1088/1741-2560/11/6/066005



Citations per Year

Citation Velocity: 9

Averaging 9 citations per year over the last 2 years.

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