Characterization of Dynamics in Renal Autoregulation Using Volterra Models
暂无分享,去创建一个
Rifat Hacioglu | Geoffrey A. Williamson | Isam Abu-Amarah | Karen A. Griffin | Anil K. Bidani | R. Hacıoğlu | G. Williamson | K. Griffin | A. Bidani | I. Abu-Amarah
[1] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[2] G. Bakris,et al. Comparative Effects of Selective T- and L-Type Calcium Channel Blockers in the Remnant Kidney Model , 2001, Hypertension.
[3] B. Wahlberg. Laguerre and Kautz Models , 1994 .
[4] P. J. Hilton,et al. Relationship between intracellular proton buffering capacity and intracellular pH. , 1992, Kidney international.
[5] N. Wiener,et al. Nonlinear Problems in Random Theory , 1964 .
[6] Rifat Hacioglu,et al. Effects of calcium channel blockers on "dynamic" and "steady-state step" renal autoregulation. , 2004, American journal of physiology. Renal physiology.
[7] V. Marmarelis,et al. On the efficacy of linear system analysis of renal autoregulation in rats , 1993, IEEE Transactions on Biomedical Engineering.
[8] M. Epstein,et al. Effects of calcium antagonists on renal hemodynamics. , 1985, The American journal of physiology.
[9] Vasilis Z. Marmarelis,et al. Nonlinear Dynamic Modeling of Physiological Systems , 2004 .
[10] L. Navar,et al. Effects of calcium antagonists on renal hemodynamics and glomerular function. , 1992, Kidney international. Supplement.
[11] Vasilis Z. Marmarelis,et al. Nonlinear Dynamic Modeling of Physiological Systems: Marmarelis/Nonlinear , 2004 .
[12] K. Chon,et al. Nonlinear system analysis of renal autoregulation in normotensive and hypertensive rats , 1998, IEEE Transactions on Biomedical Engineering.
[13] Geoffrey A. Williamson,et al. Globally convergent adaptive IIR filters based on fixed pole locations , 1996, IEEE Trans. Signal Process..
[14] Rifat Hacioglu,et al. "Step" vs. "dynamic" autoregulation: implications for susceptibility to hypertensive injury. , 2003, American journal of physiology. Renal physiology.
[15] Leon O. Chua,et al. Fading memory and the problem of approximating nonlinear operators with volterra series , 1985 .
[16] John G. Proakis,et al. Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .
[17] Rifat Hacioglu,et al. Reduced Complexity Volterra Models for Nonlinear System Identification , 2001, EURASIP J. Adv. Signal Process..
[18] E. Lewis,et al. Renal autoregulation and vulnerability to hypertensive injury in remnant kidney. , 1987, The American journal of physiology.
[19] V. Marmarelis. Identification of nonlinear biological systems using laguerre expansions of kernels , 1993, Annals of Biomedical Engineering.
[20] D J Marsh,et al. Renal blood flow regulation and arterial pressure fluctuations: a case study in nonlinear dynamics. , 1994, Physiological reviews.
[21] George S. Moschytz,et al. Simplified adaptive IIR filters based on optimized orthogonal prefiltering , 1995 .
[22] Vasilis Z. Marmarelis,et al. Nonlinear analysis of renal autoregulation under broadband forcing conditions , 1993, Annals of Biomedical Engineering.