Spatial Graph Signal Interpolation with an Application for Merging BCI Datasets with Various Dimensionalities. (arXiv:2211.02624v1 [eess.SP])

BCI Motor Imagery datasets usually are small and have different electrodes
setups. When training a Deep Neural Network, one may want to capitalize on all
these datasets to increase the amount of data available and hence obtain good
generalization results. To this end, we introduce a spatial graph signal
interpolation technique, that allows to interpolate efficiently multiple
electrodes. We conduct a set of experiments with five BCI Motor Imagery
datasets comparing the proposed interpolation with spherical splines
interpolation. We believe …

application arxiv bci datasets graph merging signal