Intrinsic mode entropy based on multivariate empirical mode decomposition and its application to neural data analysis
暂无分享,去创建一个
[1] D. Ruelle,et al. Ergodic theory of chaos and strange attractors , 1985 .
[2] P. Grassberger,et al. Estimation of the Kolmogorov entropy from a chaotic signal , 1983 .
[3] Chung-Kang Peng,et al. Adaptive Data Analysis of Complex Fluctuations in physiologic Time Series , 2009, Adv. Data Sci. Adapt. Anal..
[4] S M Pincus,et al. Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[5] J. Richman,et al. Sample entropy. , 2004, Methods in enzymology.
[6] M. P. Griffin,et al. Sample entropy analysis of neonatal heart rate variability. , 2002, American journal of physiology. Regulatory, integrative and comparative physiology.
[7] Vasiliki Kosmidou,et al. Sign Language Recognition Using Intrinsic-Mode Sample Entropy on sEMG and Accelerometer Data , 2009, IEEE Transactions on Biomedical Engineering.
[8] Cornelis J. Stam,et al. Nonlinear Brain Dynamics , 2006 .
[9] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[10] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[11] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[12] David J. Hewson,et al. Intrinsic Mode Entropy for Nonlinear Discriminant Analysis , 2007, IEEE Signal Processing Letters.
[13] Madalena Costa,et al. Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.
[14] N. Logothetis,et al. Local field potential reflects perceptual suppression in monkey visual cortex , 2006, Proceedings of the National Academy of Sciences.
[15] David A. Leopold,et al. Generalized Flash Suppression of Salient Visual Targets , 2003, Neuron.
[16] D. P. Mandic,et al. Multivariate empirical mode decomposition , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[17] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.