Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis.
暂无分享,去创建一个
Marimuthu Palaniswami | Herbert F Jelinek | Ahsan H Khandoker | M. Palaniswami | A. Khandoker | H. Jelinek
[1] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[2] Herbert F. Jelinek,et al. Short‐term ECG recording for the identification of cardiac autonomic neuropathy in people with diabetes mellitus , 2007 .
[3] A. L. Short,et al. Sample entropy of electrocardiographic RR and QT time-series data during rest and exercise , 2007, Physiological measurement.
[4] R. H. Mitchell,et al. Power spectral analysis of the electrocardiogram in diabetic children , 1992, Diabetologia.
[5] Michal Javorka,et al. Parasympathetic versus sympathetic control of the cardiovascular system in young patients with type 1 diabetes mellitus , 2005, Clinical physiology and functional imaging.
[6] H. Jelinek,et al. Heart rate variability analysis: a useful assessment tool for diabetes associated cardiac dysfunction in rural and remote areas. , 2005, The Australian journal of rural health.
[7] Michal Javorka,et al. Heart rate variability in young patients with diabetes mellitus and healthy subjects explored by Poincaré and sequence plots , 2005, Clinical physiology and functional imaging.
[8] S. Johnston,et al. Are Patients With Acutely Recovered Cerebral Ischemia More Unstable? , 2003, Stroke.
[9] A. Vinik,et al. Diagnosis and management of diabetic autonomic neuropathy , 2003, Comprehensive therapy.
[10] Marimuthu Palaniswami,et al. Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators. , 2002, American journal of physiology. Heart and circulatory physiology.
[11] M. P. Griffin,et al. Sample entropy analysis of neonatal heart rate variability. , 2002, American journal of physiology. Regulatory, integrative and comparative physiology.
[12] K. Newell,et al. Changing complexity in human behavior and physiology through aging and disease , 2002, Neurobiology of Aging.
[13] Karl M Newell,et al. Complexity in aging and disease: response to commentaries , 2002, Neurobiology of Aging.
[14] Marimuthu Palaniswami,et al. Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability? , 2001, IEEE Transactions on Biomedical Engineering.
[15] M Pagani,et al. Heart rate variability and autonomic diabetic neuropathy. , 2000, Diabetes, nutrition & metabolism.
[16] S. Pincus,et al. Approximate entropy in cardiology , 2000, Herzschrittmachertherapie und Elektrophysiologie.
[17] J. Richman,et al. Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.
[18] Chrystopher L. Nehaniv,et al. The Evolution and Understanding of Hierarchical Complexity in Biology from an Algebraic Perspective , 1999, Artificial Life.
[19] O. May,et al. Assessing cardiovascular autonomic neuropathy in diabetes mellitus: how many tests to use? , 2000, Journal of diabetes and its complications.
[20] V. Spallone,et al. Diagnosis of Cardiovascular Autonomic Neuropathy in Diabetes , 1997, Diabetes.
[21] A. Goldberger. Fractal Variability Versus Pathologic Periodicity: Complexity Loss and Stereotypy in Disease , 1997, Perspectives in biology and medicine.
[22] A. Tonkin,et al. Poincaré plot of heart rate variability allows quantitative display of parasympathetic nervous activity in humans. , 1996, Clinical science.
[23] A. Malliani,et al. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .
[24] G. Breithardt,et al. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. , 1996 .
[25] L. Sayadi,et al. Abstract , 1897, Journal of the Neurological Sciences.
[26] B. Ripley. Pattern Recognition and Neural Networks , 1996 .
[27] A M Tonkin,et al. Application of the Poincaré plot to heart rate variability: a new measure of functional status in heart failure. , 1995, Australian and New Zealand journal of medicine.
[28] D. Ziegler,et al. Diabetic cardiovascular autonomic neuropathy: prognosis, diagnosis and treatment. , 1994, Diabetes/metabolism reviews.
[29] G. Parati,et al. Influencers of the selection between heart-period and heart-rate on the spectral evaluation of heart rhythm variability during exercise , 1994, Computers in Cardiology 1994.
[30] A L Goldberger,et al. Physiological time-series analysis: what does regularity quantify? , 1994, The American journal of physiology.
[31] Bruce J. West,et al. Fractal physiology , 1994, IEEE Engineering in Medicine and Biology Magazine.
[32] James Theiler,et al. Testing for nonlinearity in time series: the method of surrogate data , 1992 .
[33] D. Ewing,et al. The Value of Cardiovascular Autonomic Function Tests: 10 Years Experience in Diabetes , 1985, Diabetes Care.
[34] Willis J. Tompkins,et al. A Real-Time QRS Detection Algorithm , 1985, IEEE Transactions on Biomedical Engineering.
[35] J. Hanley,et al. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. , 1983, Radiology.
[36] D. Ewing,et al. Immediate heart-rate response to standing: simple test for autonomic neuropathy in diabetes. , 1978, British medical journal.
[37] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .