EEG potential mapping by 3D interpolation methods

We propose in this work two main interpolation methods (barycentric, spline) applicable to 3D EEG mapping. These 3D methods are used to interpolate scalp potential activity in order to obtain a more efficient spatiotemporal resolution of EEG mapping. Starting from 19 electrodes to generate the potential representations of patients having various behavioral states, we obtain a 3D potential representation of 128 electrodes thanks to the 3D interpolation methods. The evaluation of these algorithms is realized by calculating the normalized Root Mean Squared error (RMS).