Investigating fractal property and respiratory modulation of human heartbeat time series using empirical mode decomposition.
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Jiann-Shing Shieh | Jia-Rong Yeh | Wei-Zen Sun | Norden E Huang | J. Shieh | N. Huang | J. Yeh | Wei-Zen Sun
[1] C. Peng,et al. What is physiologic complexity and how does it change with aging and disease? , 2002, Neurobiology of Aging.
[2] Jeffrey M. Hausdorff,et al. Physionet: Components of a New Research Resource for Complex Physiologic Signals". Circu-lation Vol , 2000 .
[3] 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.
[4] Madalena Costa,et al. Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.
[5] A. Wood,et al. Simulation of Stationary Gaussian Processes in [0, 1] d , 1994 .
[6] Leontios J Hadjileontiadis,et al. Empirical mode decomposition and fractal dimension filter. A novel technique for denoising explosive lung sounds. , 2007, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.
[7] Gabriel Rilling,et al. Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.
[8] N. Huang,et al. A study of the characteristics of white noise using the empirical mode decomposition method , 2004, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[9] A. Carbone,et al. Second-order moving average and scaling of stochastic time series , 2002 .
[10] B. Mandelbrot,et al. Fractional Brownian Motions, Fractional Noises and Applications , 1968 .
[11] N. Craft,et al. Effects of age on intrinsic heart rate, heart rate variability, and AV conduction in healthy humans. , 1995, The American journal of physiology.
[12] Zhaohua Wu,et al. On the trend, detrending, and variability of nonlinear and nonstationary time series , 2007, Proceedings of the National Academy of Sciences.
[13] M. Piepoli,et al. Quantitative General Theory for Periodic Breathing in Chronic Heart Failure and its Clinical Implications , 2000, Circulation.
[14] H. Stanley,et al. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.
[15] B. Anderson,et al. Simulation of stationary stochastic processes , 1968 .
[16] H. E. Hurst,et al. Long-Term Storage Capacity of Reservoirs , 1951 .
[17] Karen S. Quigley,et al. Cardiac psychophysiology and autonomic space in humans: empirical perspectives and conceptual implications. , 1993, Psychological bulletin.
[18] D. Levy,et al. Predicting survival in heart failure case and control subjects by use of fully automated methods for deriving nonlinear and conventional indices of heart rate dynamics. , 1997, Circulation.
[19] J. Hirsch,et al. Respiratory sinus arrhythmia in humans: how breathing pattern modulates heart rate. , 1981, The American journal of physiology.
[20] Jiann-Shing Shieh,et al. Human heart beat analysis using a modified algorithm of detrended fluctuation analysis based on empirical mode decomposition. , 2009, Medical engineering & physics.
[21] Stanton A. Glantz,et al. Primer of biostatistics : statistical software program version 6.0 , 1981 .
[22] Paulo Gonçalves,et al. Empirical Mode Decompositions as Data-Driven Wavelet-like Expansions , 2004, Int. J. Wavelets Multiresolution Inf. Process..
[23] Laurent Mourot,et al. Conditions of autonomic reciprocal interplay versus autonomic co-activation: Effects on non-linear heart rate dynamics , 2007, Autonomic Neuroscience.