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Time and Frequency Domain Analysis of Heart Rate Variability and their Correlations in Diabetes Mellitus

Authors: P. T. Ahamed Seyd, V. I. Thajudin Ahamed, Jeevamma Jacob, Paul Joseph K


Diabetes mellitus (DM) is frequently characterized by autonomic nervous dysfunction. Analysis of heart rate variability (HRV) has become a popular noninvasive tool for assessing the activities of autonomic nervous system (ANS). In this paper, changes in ANS activity are quantified by means of frequency and time domain analysis of R-R interval variability. Electrocardiograms (ECG) of 16 patients suffering from DM and of 16 healthy volunteers were recorded. Frequency domain analysis of extracted normal to normal interval (NN interval) data indicates significant difference in very low frequency (VLF) power, low frequency (LF) power and high frequency (HF) power, between the DM patients and control group. Time domain measures, standard deviation of NN interval (SDNN), root mean square of successive NN interval differences (RMSSD), successive NN intervals differing more than 50 ms (NN50 Count), percentage value of NN50 count (pNN50), HRV triangular index and triangular interpolation of NN intervals (TINN) also show significant difference between the DM patients and control group.

Keywords: diabetes mellitus, heart rate variability, autonomic nervous system, frequency domain and time domain analysis

Digital Object Identifier (DOI):

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[1] T. C. Huang, D. Ramaekers, J. Lin, H. Ector, H. De Geest and A. E. Aubert, "Analysis of Heart Rate Variability using Power Spectral Analysis and Nonlinear Dynamics", IEEE J. Computers in Cardiology, 1994, pp. 569-572.
[2] Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, "Heart Rate Variability - Standards of measurement, physiological interpretation and clinical use", European Heart Journal, 17, 1996, pp. 354-381.
[3] J. Sztajzel, "Heart rate variability: a noninvasive electrocardiographic method to measure the autonomic nervous system", Swiss Med Wkly, 134, 2004, pp. 514-522.
[4] Jeffrey J. Goldberger, "Sympathovagal balance: how should we measure it?" Am. J. Physiol. 276 (Heart Circ. Physiol. 4), 1999, pp. H1273- H1280.
[5] Awdah Al-Hazimi, Nabil Al-Ama, Ahmad Syiamic, Reem Qosti, and Khidir Abdel-Galil, "Time domain analysis of heart rate variability in diabetic patients with and without autonomic neuropathy," Annals of Saudi Medicine, 22 (5-6), 2002, pp. 400-402.
[6] O. May, H. Arildsen and M. Moller, "Parasympathetic function during deep breathing in the general population: relation to coronary risk factors and normal range," Journal of Internal Medicine, 245, 1999, pp. 287-294.
[7] Phyllis K. Stein, Heart Rate Variability in Heart Failure and Sudden Death, Washington University School of Medicine St. Louis, MO, HRV 2006, pp. 39-40.
[8] P. J. Geevarghese, A. K. Abraham and Annie. P. A, A Hand - Book for Diabetics, P. J. Geevarghese, 8th edition, Cochin, Kerala, India, 1999, pp. 8-9.
[9] Nathan D. M, Cleary P. A, Backlund J. Y, Genuth S. M, Lachin J. M, Orchard T. J, and Raskin P. Zinman B, "Diabetes Control and Complications Trial / Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC)," Study Research Group, Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes, N. Engl J. Med, 353, 2005, pp. 2643-53.
[10] The Diabetes Control and Complications Trial Research Group, "The effect of intensive diabetes therapy on the development and progression of neuropathy," Ann. Intern. Med. 1995, 122, pp. 561-568.
[11] Weiss J, and Sumpio B, "Review of prevalence and outcome of vascular disease in patients with diabetes mellitus.", Eur. J. Vasc. Endovasc. Surg. 31 (2), 2006, pp. 143-50.
[12] Emily B. Schroeder, Lloyd E. Chambless, Duanping Liao, Ronald J. Prineas, Gregory W. Evans, Wayne D. Rosamond, and Gerardo Heiss, "Diabetes, Glucose, Insulin, and Heart Rate Variability," Diabetes Care, Volume 28, Number 3, March 2005, pp. 668-674.
[13] Akihito Uehara, Chinori Kurata, Toshihiko Sugi, Tadashi Mikami, and Sakae Shouda, "Diabetic cardiac autonomic dysfunction: parasympathetic versus sympathetic," Annals of Nuclear Medicine, 13 (2), 1999, pp. 95-100.
[14] P. Cugini, M. Curione, C. Cammarota, F. Bernardini, D. Cipriani, R. De Rosa, P. Francia, T. De Laurentis, E. De Marco, A. Napoli, and F. Falluca, "Is a Reduced Entropy in Heart Rate Variability an Early Finding of Silent Cardiac Neurovegitative Dysautonomia in Type 2 Diabetic Mellitus ?," Journal of Clinical and Basic Cardiology, 4 (4), 2001, pp. 289-294.
[15] Herbert Jelinek, Allyson Flynn, and Paul Warner, "Automated assessment of cardiovascular disease associated with diabetes in rural and remote health care practice," The national SARRAH conference, 2004, pp. 1-7.
[16] Lijun Tian, and Willis J. Tompkins, "Time domain based algorithm for detection of Ventricular Fibrillation," IEEE Proceedings, 19th international conference, Nov. 1997, pp. 374-377.