Comparison of fast Fourier transform and autoregressive spectral analysis for the study of heart rate variability in diabetic patients.

[1]  H. Akaike.  A new look at the statistical model identification , 1974 .

[2]  D. Ewing,et al.  The natural history of diabetic autonomic neuropathy. , 1980, The Quarterly journal of medicine.

[3]  S.M. Kay,et al.  Spectrum analysis—A modern perspective , 1981, Proceedings of the IEEE.

[4]  R. Cohen,et al.  Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. , 1981, Science.

[5]  M. Turiel,et al.  Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.

[6]  Spectral analysis of short-term heart rate variability in diabetic patients. , 1990, Journal of the autonomic nervous system.

[7]  A. Malliani,et al.  Cardiovascular Neural Regulation Explored in the Frequency Domain , 1991, Circulation.

[8]  P. Fratino,et al.  Impaired Circadian Modulation of Sympathovagal Activity in Diabetes: A Possible Explanation for Altered Temporal Onset of Cardiovascular Disease , 1992, Circulation.

[9]  Claudio Cobelli,et al.  Power Spectral Analysis of Heart-Rate Variations Improves Assessment of Diabetic Cardiac Autonomic Neuropathy , 1992, Diabetes.

[10]  L. Bernardi,et al.  Relationship Between the Circadian Rhythms of Blood Pressure and Sympathovagal Balance in Diabetic Autonomic Neuropathy , 1993, Diabetes.

[11]  J. Fleiss,et al.  The ability of several short-term measures of RR variability to predict mortality after myocardial infarction. , 1993, Circulation.

[12]  Day-to-day reproducibility of time-domain measures of heart rate variability in survivors of acute myocardial infarction. , 1995, The American journal of cardiology.

[13]  P. Stein,et al.  Stability of index of heart rate variability in patients with congestive heart failure. , 1995, American heart journal.

[14]  P. Fratino,et al.  Twenty-four-hour pattern of blood pressure and spectral analysis of heart rate variability in diabetic patients with various degrees of autonomic neuropathy. Comparison to standard cardiovascular tests. , 1996, Clinical science.

[15]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[16]  F Mastropasqua,et al.  Short- and long-term reproducibility of time and frequency domain heart rate variability measurements in normal subjects. , 1996, Cardiovascular research.

[17]  D. Ewing.  Diabetic autonomic neuropathy and the heart. , 1996, Diabetes research and clinical practice.

[18]  A. Burger,et al.  Short- and long-term reproducibility of heart rate variability in patients with long-standing type I diabetes mellitus. , 1997, The American journal of cardiology.

[19]  S Cerutti,et al.  Individual recognition by heart rate variability of two different autonomic profiles related to posture. , 1997, Circulation.

[20]  D. Eckberg.  Sympathovagal balance: a critical appraisal. , 1997, Circulation.

[21]  D Sapoznikov,et al.  Five minute recordings of heart rate variability for population studies: repeatability and age–sex characteristics , 1998, Heart.

[22]  A Malliani,et al.  Sympathovagal balance: a reappraisal. , 1998, Circulation.

[23]  M. Malik,et al.  Sympathovagal balance: a critical appraisal. , 1998, Circulation.

[24]  P. Coumel,et al.  Heart Rate Variability in Passive Tilt Test: Comparative Evaluation of Autoregressive and FFT Spectral Analyses , 1998, Pacing and clinical electrophysiology : PACE.

[25]  Alberto Malliani,et al.  The Pattern of Sympathovagal Balance Explored in the Frequency Domain. , 1999, News in physiological sciences : an international journal of physiology produced jointly by the International Union of Physiological Sciences and the American Physiological Society.

[26]  T. Laitinen,et al.  Power spectral analysis of heart rate variability during hyperinsulinemia in nondiabetic offspring of type 2 diabetic patients: evidence for possible early autonomic dysfunction in insulin-resistant subjects. , 1999, Diabetes.

[27]  P Maison-Blanche,et al.  Frequency-domain heart rate variability in 24-hour Holter recordings: role of spectral method to assess circadian patterns and pharmacological autonomic modulation. , 2000, Journal of electrocardiology.

[28]  Power Spectral Analysis of Heart Rate Variability during Total Spinal Anesthesia in Rats , 2001 .

[29]  R M Heethaar,et al.  Impaired autonomic function is associated with increased mortality, especially in subjects with diabetes, hypertension, or a history of cardiovascular disease: the Hoorn Study. , 2001, Diabetes care.

[30]  K Dave,et al.  A CRITICAL APPRAISAL , 2002 .

[31]  Duanping Liao,et al.  Correlates of the shift in heart rate variability with an active postural change in a healthy population sample: The Atherosclerosis Risk In Communities study. , 2002, American heart journal.

[32]  S. Malpas.  Neural influences on cardiovascular variability: possibilities and pitfalls. , 2002, American journal of physiology. Heart and circulatory physiology.

[33]  Duanping Liao,et al.  Lower heart rate variability is associated with the development of coronary heart disease in individuals with diabetes: the atherosclerosis risk in communities (ARIC) study. , 2002, Diabetes.

[34]  A. Burger,et al.  Marked abnormalities in heart rate variability are associated with progressive deterioration of renal function in type I diabetic patients with overt nephropathy. , 2002, International journal of cardiology.

[35]  R. Freeman,et al.  Diabetic autonomic neuropathy. , 2003, Diabetes care.

[36]  R. Freeman,et al.  Diabetic autonomic neuropathy. , 2003, Diabetes care.

[37]  J. Bigger,et al.  Comparison of the prognostic value of RR-interval variability after acute myocardial infarction in patients with versus those without diabetes mellitus. , 2003, The American journal of cardiology.

[38]  Jeffrey M. Hausdorff,et al.  Influence of autoregressive model parameter uncertainty on spectral estimates of heart rate dynamics , 1995, Annals of Biomedical Engineering.