Non-linear Granger causality and its frequency decomposition in decoding human upper limb movement intentions
by Meng Ting Liu; Ching-Chang Kuo; Alan W.L. Chiu
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 12, No. 1, 2013

Abstract: Non-linear Granger Causality (GC) can detect directional influence of signals between multiple locations through a non-linear predictive approach using Radial Basis Functions (RBF). However, the directional relations in frequency domain are often lost. In this paper, we investigate how the non-linear causal relationship at different frequency bands can be extracted by the proper linearisation process. The difference between the non-linearly and linearly fitted signals was used to determine if the frequency components can be approximated. This strategy was implemented and evaluated on a Brain Computer Interface (BCI) application to decode the intended directions of an imagined arm reaching movement (left, right and forward) using 128 surface electroencephalography (EEG) electrodes. The causal influence of the active recording sites was found to be unique with respect to the direction of the intended movement. Particularly, the left and right reaching directions were found to be highly separable in the theta rhythm (3-8 Hz).

Online publication date: Sat, 27-Sep-2014

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