Skip to content
Research Article Open access CC BY 4.0

Atypical Cardiac Autonomic Neuropathy Identified with Entropy Measures

David J. Cornforth, Herbert F. Jelinek

Cardiology and Angiology: An International Journal · pp. 1–11 · Published 6 Sep 2014

10.9734/CA/2015/12524

Abstract

Aims: To identify Cardiac Autonomic Neuropathy (CAN) from a range of measures extracted from Heart Rate Variability (HRV), including higher moments of RR intervals and a spectrum of entropy measures of RR intervals. Study Design: Analysis of HRV measured from participants at a diabetes screening clinic. Groups were compared using t-tests to identify variables that provide separation between groups. Place and Duration of Study: Charles Sturt Diabetes Complications Clinic, Albury, NSW Australia. Methodology: Eleven participants with definite CAN, 67 participants with early CAN, and 71 without CAN had their beat-to-beat fluctuations analyzed using two spectra of HRV: the spectrum of moments of RR intervals and the spectrum of Renyi entropy measures. RR intervals were extracted from ECG recordings and were detrended before analysis. Results: Higher moments of RR intervals identified a previously unnoticed sub-group of patients who are atypical within the definite CAN group. Classification of CAN progression was better with Renyi entropy measures than with moments of RR intervals. Significant differences between early and definite CAN were found with the sixth and eighth moments, (P=.022 and P=.042 respectively), but for entropy measures P values were orders of magnitude smaller. Conclusion: Identification of early CAN provides the opportunity for early intervention and better treatment outcomes, as well as identifying atypical cases. Our findings illustrate the value of exploring a range of different measures when attempting to detect differences in groups of patients with CAN.  

Cardiac autonomic neuropathy cardiac arrhythmia heart rate variability entropy measures

References (22)

  1. 1 Heart rate variability: Origins, methods, and interpretive caveats [DOI]
  2. 2 Sudden Cardiac Death [DOI]
  3. 3 Sudden Cardiac Death in the United States, 1989 to 1998 [DOI]
  4. 4 The Value of Cardiovascular Autonomic Function Tests: 10 Years Experience in Diabetes [DOI]
  5. 5 Task Force on Sudden Cardiac Death of the European Society of Cardiology [DOI]
  6. 6 Effects of Cardiac Autonomic Dysfunction on Mortality Risk in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Trial [DOI]
  7. 7 Diabetic cardiac autonomic neuropathy, inflammation and cardiovascular disease [DOI]
  8. 8 Relationship of Heart Rate Variability to Parasympathetic Effect [DOI]
  9. 9 Sudden Cardiac Death: Exploring the Limits of Our Knowledge [DOI]
  10. 10 Prediction of Mortality Using Measures of Cardiac Autonomic Dysfunction in the Diabetic and Nondiabetic Population [DOI]
  11. 11 Autonomic dysfunction in Parkinson's disease: a comprehensive symptom survey [DOI]
  12. 12 Identifying diabetic patients with cardiac autonomic neuropathy by heart rate complexity analysis [DOI]
  13. 13 Short-term heart rate complexity is reduced in patients with type 1 diabetes mellitus [DOI]
  14. 14 Renyi Entropy Measures of Heart Rate Gaussianity [DOI]
  15. 15 An innovative Multi-disciplinary Diabetes Complications Screening Program in a Rural Community: A Description and Preliminary Results of the Screening [DOI]
  16. 16 Heart rate variability analysis: a useful assessment tool for diabetes associated cardiac dysfunction in rural and remote areas [DOI]
  17. 17 Segmented Symbolic Dynamics for Risk Stratification in Patients with Ischemic Heart Failure [DOI]
  18. 18 Heart rate and arrhythmic risk: old markers never die [DOI]
  19. 19 Risk factors for sudden unexpected cardiac death in Tasmanian men [DOI]
  20. 20 Predictors of sudden cardiac death.
  21. 21 Rule-based Classifiers and Meta Classifiers for Identification of Cardiac Autonomic Neuropathy Progression
  22. 22 A Decision Tree Approach for Ewing Test Selection to Support the Clinical Assessment of Cardiac Autonomic Neuropathy

Cited by 0

No indexed citations yet.

Related research

Article metrics

Real usage data collected on this platform.

72

Page views

0

PDF downloads

60

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.