Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis

BioMedical Engineering Online

Volumn 8, Issue , 2009, Pages

  Khandoker, Ahsan H ^a   Jelinek, Herbert F ^b   Palaniswami, Marimuthu ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b CHARLES STURT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION TREES; CLINICAL DETECTIONS; COMPLEXITY ANALYSIS; COMPLEXITY BASED; DIABETIC PATIENTS; ECG RECORDINGS; HEART RATE VARIABILITIES; HEART RATES; LONG TERMS; MYOCARDIAL INFARCTIONS; POINCARE; POTENTIAL UTILITIES; RISK STRATIFICATIONS; SAMPLE ENTROPIES; SCREENING TOOLS; SHORT TERMS; SUDDEN DEATHS;

DECISION TREES; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; SUGAR (SUCROSE);

HEART VALVE PROSTHESES;

ADULT; AGED; ALGORITHM; ARTICLE; BODY POSTURE; DECISION TREE; DIABETIC NEUROPATHY; ELECTROCARDIOGRAPHY; ENTROPY; FEMALE; HEART RATE; HUMAN; MALE; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; NONPARAMETRIC TEST; PATHOPHYSIOLOGY; PHYSIOLOGY; ROC CURVE; SENSITIVITY AND SPECIFICITY; SUPINE POSITION;

ADULT; AGED; ALGORITHMS; DECISION TREES; DIABETES MELLITUS, TYPE 2; DIABETIC NEUROPATHIES; ELECTROCARDIOGRAPHY; ENTROPY; FEMALE; HEART RATE; HUMANS; MALE; MIDDLE AGED; POSTURE; ROC CURVE; SENSITIVITY AND SPECIFICITY; STATISTICS, NONPARAMETRIC; SUPINE POSITION;

EID: 61849165135     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-8-3     Document Type: Article

References (37)

1. Australian Diabetes Society (ADS) http://www.diabetessociety.com.au/
2. Johnston SC Easton JD Are Patients With Acutely Recovered Cerebral Ischemia More Unstable? Stroke 2003, 4:2446. 10.1161/ 01.STR.0000090842.81076.68
3. Ewing DJ Martyn CM Young RJ Clarke BF The value of cardiovascular autonomic function tests: 10 years experience in diabetes Diabetes Care 1985, 8:491-493. 10.2337/diacare.8.5.491 4053936
4. Pagani M Heart rate variability and autonomic diabetic neuropathy Diabetes, Nutrition and Metabolism 2000, 13(6):341-346.
5. Ewing DJ Clarke BF Diagnosis and management of diabetic autonomic neuropathy British Medical Journal 1982, 285:916-918. 1500018 6811067
6. Ewing DJ Campbell IW Murray A Neilson JM Clarke BF Immediate heart-rate response to standing: Simple test for autonomic neuropathy in diabetes British Medical Journal 1978, 1:145-147 1.602825 620228
7. Rollins MD Jenkins JG Carson DJ McGlure BG Mitchell RH Imam SZ Power spectral analysis of the electrocardiogram in diabetic children Diabetologia 1992, 35:452-455. 10.1007/BF02342443 1521728
8. Spallone V Menzinger G Diagnosis of cardiovascular autonomic neuropathy in diabetes [abstract] Diabetes 1997, 46:S67. 9285503
9. Ziegler D Diabetic cardiovascular autonomic neuropathy: Prognosis, diagnosis and treatment Diabetes Metab Rev 1994, 10:339-383. 7796704
10. Jelinek HF Pham P Struzik ZR Spence I Short term ECG recording for the identification of cardiac autonomic neuropathy in people with diabetes mellitus Proceedings of 19th International Conference on Noise and Fluctuations: 9-14 September 2007; Tokyo, Japan Munecazu Tacano 2007:683-686.
11. Brennan M Palaniswami M Kamen P Do existing measures of Poincaré' plot geometry reflect nonlinear features of heart rate variability? IEEE Trans Biomed Eng 2001, 48:1342-1347. 10.1109/10.959330 11686633
12. Richman JS Moorman JR Physiological time-series analysis using approximate entropy and sample entropy Am J Physiol 2000, 278:H2039-H2049.
13. Pan J Tompkins WJ Real time QRS detector algorithm IEEE Trans Biomed Eng 1985, 32:230-323. 10.1109/TBME.1985.325532 3997178
14. Welch PD The Use of Fast Fourier Transform for the Esimation of Power Spectra: A Method Based on Time Averaging Over Short, Modified Periodograms IEEE Transactions on Audio and Electroacoustics 1967, 15:70-73. 10.1109/TAU.1967.1161901
15. 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 Circulation 1996, 93:1043-1065. 8598068
16. Brennan M Palaniswami M Kamen P Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators Am J Physiol Heart Circ Physiol 2002, 283:H1873-H1886. 12384465
17. Theiler J Eubank S Longtin A Galdrikian B Doyne F Testing for nonlinearity in time series: The method of surrogate data Physica D: Nonlinear Phenomena 1992, 58:77-94. 10.1016/0167-2789(92)90102-S
18. Bassingthwaighte JB Liebovitch L West BJ Fractal Physiology Oxford Univ Press 1994.
19. Hanley JA McNeil BJ A method of comparing the areas under receiver operating characteristic curves derived from the same cases Radiology 1983, 148:839-843. 6878708
20. Breiman L Classification and Regression Trees Chapman & Hall, Boca Raton 1993.
21. Ripley BD Pattern Recognition and Neural Networks Cambridge, U.K: Cambridge Univ Press 1996.
22. Kamen PW Tonkin AM Application of the Poincaré' plot to heart rate variability: A new measure of functional status in heart failure Aust N Z J Med 1995, 25:18-26. 7786239
23. Kamen PW Krum H Tonkin AM Poincaré' plot of heart rate variability allows quantitative display of parasympathetic nervous activity in humans Clin Sci 1996, 91:201-208. 8795444
24. Javorka M Javorkova J Tonhajzerova I Calkovska A Javorka K Heart rate variability in young patients with diabetes mellitus and healthy subjects explored by Poincaré and sequence plots Clin Physiol Funct Imaging 2005, 25:119-127. 10.1111/j.1475-097X.2004.00601.x 15725311
25. May O Arildsen H Assessing cardiovascular autonomic neuropathy in diabetes mellitus. How many tests to use? Journal of Diabetes and its Complications 2000, 14:7-12. 10.1016/S1056-8727(00)00062-3
26. Jideh B Jelinek HF Identifying diabetic autonomic neuropathy from heart rate variability Proceedings of The Australian Health and Medical Research Congress: 22-26 November 2004; Sydney, Australia 2004:234.
27. Castiglioni P Parati G Omboni S Rienzo MD Influences of the Selection between Heart-Period and Heart-Rate on the Spectral Evaluation of Heart Rhythm Variability During Exercise Proceedings of Computers in Cardiology: 25-28 September 1994; Bethesda, MD Allan Murray 1994:561-564.
28. Nehaniv CL Rhodes JL The evolution and understanding of biological complexity from an algebraic perspective Artif Life 2000, 6:45-67. 10.1162/106454600568311 10943665
29. Goldberger AL Fractal variability versus pathologic periodicity: complexity loss and stereotypy in disease Perspect Biol Med 1997, 40:543-561. 9269744
30. Vaillancourt DE Newell KM Changing complexity in human behavior and physiology through aging and disease Neurobiol Aging 2002, 23:1-11. 10.1016/S0197-4580(01)00310-4 11755010
31. Vaillancourt DE Newell KM Complexity in aging and disease: Response to commentaries Neurobiol Aging 2002, 23:27-29. 10.1016/ S0197-4580(01)00310-4 11755015
32. Pincus SM Approximate entropy in cardiology Herzschr Elektrophys 2000, 11:139-150. 10.1007/s003990070033
33. Javorka M Javorkova J Tonhajzerova I Javorka K Parasympathetic versus sympathetic control of the cardiovascular system in young patients with type 1 diabetes mellitus Clin Physiol Funct Imag 2005, 25:270-4. 10.1111/ j.1475-097X.2005.00623.x
34. Flynn AC Jelinek HF Smith MC Heart rate variability analysis: A useful assessment tool for diabetes associated cardiac dysfunction in rural and remote areas Australian Journal of Rural Health 2005, 13:77-82. 10.1111/ j.1440-1854.2005.00658.x 15804330
35. Pincus SM Goldberger AL Physiological time-series analysis: What does regularity quantify? Am J Physiol Heart Circ Physiol 1994, 35:H1643-H1656. 8184944
36. Lewis MJ Short AL Sample entropy of electrocardiographic RR and QT time-series data during rest and exercise Physiol Meas 2007, 28:731-744. 10.1088/0967-3334/28/6/011 17664626
37. Lake DE Richman JS Griffin MP Moorman JR Sample entropy analysis of neonatal heart rate variability Am J Physiol Regulatory Integrative Comp Physiol 2002, 283:789-797.