Heart rate chaos as a mortality predictor in mild to moderate heart failure

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5051-5054

  Arzeno, Natalia M ^a   Kearney, Mark T ^b   Eckberg, Dwain L ^c   Nolan, James ^d   Poon, Chi Sang ^e  

^a USA   (United States)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c VIRGINIA COMMONWEALTH UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY HOSPITAL OF NORTH STAFFORDSHIRE   (United Kingdom)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; MATHEMATICAL MODELS; NONLINEAR ANALYSIS; PATIENT TREATMENT;

CONGESTIVE HEART FAILURE (CHF); HEART RATE VARIABILITY (HRV);

BIOLOGICAL ORGANS;

ARTICLE; ENTROPY; HEART FAILURE; HEART RATE; HUMAN; MORTALITY; PATHOPHYSIOLOGY; PHYSIOLOGY; PREDICTIVE VALUE; RECEIVER OPERATING CHARACTERISTIC; SURVIVAL; SURVIVOR;

ENTROPY; HEART FAILURE; HEART RATE; HUMANS; PREDICTIVE VALUE OF TESTS; ROC CURVE; SURVIVAL ANALYSIS; SURVIVORS;

EID: 57649215858     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353475     Document Type: Conference Paper

References (24)

1. Guzzetti, S., et al., Linear and non-linear 24 h heart rate variability in chronic heart failure. Auton Neurosci, 2000. 86(1-2): p. 114-119.
2. Nolan, J., et al., Prospective Study of Heart Rate Variability and Mortality in Chronic Heart Failure : Results of the United Kingdom Heart Failure Evaluation and Assessment of Risk Trial (UK-Heart). Circulation, 1998. 98(15): p. 1510-1516.
3. Ponikowski, P., et al., Depressed Heart Rate Variability as an Independent Predictor of Death in Chronic Congestive Heart Failure Secondary to Ischemic or Idiopathic Dilated Cardiomyopathy. Am J Cardiol, 1997. 79(12): p. 1645-1650.
4. Sandercock, G.R.H. and D.A. Brodie, The Role of Heart Rate Variability in Prognosis for Different Modes of Death in Chronic Heart Failure. Pacing Clin Electrophysiol, 2006. 29(8): p. 892-904.
5. Galinier, M., et al., Depressed low frequency power of heart rate variability as an independent predictor of sudden death in chronic heart failure. Eur Heart J, 2000. 21(6): p. 475-482.
6. Jiang, W., et al., Ability of Heart Rate Variability to Predict Prognosis in Patients With Advanced Congestive Heart Failure. The American Journal of Cardiology, 1997. 80(6): p. 808-811.
7. Szabo, B.M., et al., Prognostic Value of Heart Rate Variability in Chronic Congestive Heart Failure Secondary to Idiopathic or Ischemic Dilated Cardiomyopathy. Am J Cardiol, 1997. 79(7): p. 978-980.
8. Ho, K.K.L., et al., Predicting Survival in Heart Failure Case and Control Subjects by Use of Fully Automated Methods for Deriving Nonlinear and Conventional Indices of Heart Rate Dynamics. Circulation, 1997. 96: p. 842-848.
9. Brouwer, J., et al., Prognostic Value of Heart Rate Variability During Long-Term Follow-Up in Patients With Mild to Moderate Heart Failure. JACC, 1996. 28(5): p. 1183-1189.
10. Makikallio, T.H., et al., Fractal Analysis and Time- and Frequency-Domain Measures of Heart Rate Variability as Predictors of Mortality in Patients With Heart Failure. Am J Cardiol, 2001. 87: p. 178-182.
11. Kearney, M.T., et al., Predicting sudden death in patients with mild to moderate chronic heart failure. Heart, 2004. 90(10): p. 1137-1143.
12. Kearney, M.T., et al., A prognostic index to predict long-term mortality in patients with mild to moderate chronic heart failure stabilised on angiotensin converting enzyme inhibitors. European Journal of Heart Failure, 2003. 5(4): p. 489-497.
13. Kearney, M.T., et al., Cardiac size, autonomic function, and 5-year follow-up of chronic heart failure patients with severe prolongation of ventricular activation. Journal of Cardiac Failure, 2003. 9(2): p. 93-99.
14. MacCarthy, P.A., et al., Prognosis in heart failure with preserved left ventricular systolic function: prospective cohort study. BMJ, 2003. 327(7406): p. 78-79.
15. Poon, C.-S. and M. Barahona, Titration of chaos with added noise. PNAS, 2001. 98(13): p. 7107-7112.
16. Pincus, S.M., Approximate entropy as a measure of system complexity. Proc Natl Acad Sci USA, 1991. 88(6): p. 2297-2301.
17. Richman, J.S. and R. Moorman, Physiological time-series analysis using approximate entropy and sample entropy. Am J Physiol Heart Circ Physiol, 2000. 278: p. H2039-H2049.
18. Kantelhardt, J.W., et al., Multifractal detrendedfluctuation analysis of nonstationary time series. Physica A, 2002. 316: p. 87-114.
19. Peng, C.-K., et al., Mosaic organization of DNA nucleotides. Physical Review E, 1994. 49(2): p. 1685-1689.
20. Peng, C.-K., et al., Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos, 1995. 5(1): p. 82-87.
21. 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(5): p. 1043-1065.
22. Welch, P.D., The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging Over Short, Modified Periodograms. IEEE Transactions on Audio and Electroacoustics, 1967. AU-15(2): p. 70-73.
23. Oppenheim, A.V. and R.S. Schafer, Discrete-Time Signal Processing. 2 ed. 1999, Englewood Cliffs: Prentice-Hall.
24. Poon, C.-S. and C.K. Merrill, Decrease of cardiac chaos in congestive heart failure. Nature, 1997. 389(6650): p. 492-495.