论文信息 - Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System

Recursive Multi-Way PLS for Adaptive Calibration of Brain Computer Interface System

In the present article a Recursive Multi-Way PLS algorithm for adaptive calibration of a BCI system is proposed. It combines the NPLS tensors decomposition with a scheme of recursive calculation. This Recursive algorithm allows treating data arrays of huge dimension. In addition, adaptive calibration provides a fast adjustment of the BCI system to mild changes of the signal. The proposed algorithm was validated on artificial and real data sets. In comparison to generic Multi-Way PLS, the recursive algorithm demonstrates good performance and robustness.

[1] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..

[2] Bhupinder S. Dayal,et al. Improved PLS algorithms , 1997 .

[3] S. Qin. Recursive PLS algorithms for adaptive data modeling , 1998 .

[4] G. G. Hamedani,et al. On the Determination of the Bivariate Normal Distribution from Distributions of Linear Combinations of the Variables , 1975 .

[5] R. Bro. Multiway calibration. Multilinear PLS , 1996 .

[6] B. Kowalski,et al. Partial least-squares regression: a tutorial , 1986 .