1. WOLPAW J R, BIRBAUMER N, MCFARLAND D J, et al. Brain-computer interfaces for communication and control[J]. Clin Neurophysiol, 2002, 113(6):767-791.
[2]
2. HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proc R Soc Lond A, 1998, 454(1971):903-995.
[3]
3. PANOULAS K I, HADJILEONTIADIS L J, PANAS S M. Hilbert-Huang Spectrum as a new field for the identification of EEG event related de-/synchronization for BCI applications[C]//30th Annual International Conference of the IEEE, Vancouver:2008:3832-3835.
5. LOONEY D, MANDIC D P. Multiscale image fusion using complex extensions of EMD[J]., IEEE Trans Signal Proces, 2009, 57(4):1626-1630.
[6]
6. TANAKA T, MANDIC D P. Complex empirical mode decomposition[J].IEEE Signal Proces Lett, 2007, 14(2):101-104.
[7]
7. RILLING G, FLANDRIN P, GONALVES P, et al. Bivariate empirical mode decomposition[J]. IEEE Signal Proces Lett, 2007, 14(12):936-939.
[8]
8. REHMAN N, MANDIC D P. Empirical mode decomposition for trivariate signals[J]. IEEE Trans Signal Proces, 2010, 58(3):1059-1068.
[9]
9. REHMAN N, MANDIC D P. Multivariate empirical mode decomposition[J]. Proc R Soc A:Math, Phys Eng Sci, 2010, 466(2117):1291-1302.
[10]
10. HUANG N E, WU M L C, LONG S R, et al. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis[J]. Proc R Soc Lond A:Math, Phys Eng Sci, 2003, 459(2037):2317-2345.
[11]
11. Cannegieter S C, Rosendaal F R, Briet E. Thromboembolic and bleeding complications in patients with mechanical heart valve prostheses[J]. Circulation, 1994, 89(2):635-641.
13. PARK C, LOONEY D, REHMAN N, et al. Classification of motor imagery BCI using multivariate empirical mode decomposition[J]. IEEE Trans Neur Systems Rehabilit Eng, 2013, 21(1):10-22.
