Skip to main content

Recurrence Quantification Analysis to Characterise the Heart Rate Variability Before the Onset of Ventricular Tachycardia

  • Conference paper
  • First Online:
Medical Data Analysis (ISMDA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2199))

Included in the following conference series:

Abstract

Ventricular tachycardia or fibrillation (VT) as fatal cardiac arrhythmias are the main factors triggering sudden cardiac death. The objective of this recurrence quantification analysis approach is to find early signs of sustained VT in patients with an implanted cardioverter-defibrillator (ICD). These devices are able to safeguard patients by returning their hearts to a normal rhythm via strong defibrillatory shocks; additionally, they are able to store at least 1000 beat-to-beat intervals immediately before the onset of a life-threatening arrhythmia. We study these 1000 beat-to-beat intervals of 63 chronic heart failure ICD patients before the onset of a life-threatening arrthymia and at a control time, i.e. without VT event. We find that no linear parameter shows significant differences in heart rate variability between the VT and the control time series. However, the results of the recurrence quantification analysis are promising for this classification task.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Mirowski, M., Reid, P.R., Mower, M.M., Watkins, L., Gott, V.L., Schauble, J.F., Langer, A., Heilman, M.S., Kolenik, S.A., Fischell, R.E., Weisfeldt, M.L.: Termination of malignant ventricular tachyarrhythmias with an implanted automatic defibrillator in human beings. N Engl J Med 303 (1980) 322–324

    Article  Google Scholar 

  2. Grimm, W., Floresm, B.T., Marchlinski, F.E.: Shock occurence and survival in 241 patients with implantable cardioverter-defibrillator therapy. Circulation 87 (1993) 18880–18888

    Google Scholar 

  3. The antiarrhythmic versus implantable defibrillators (AVID) investigators: A comparison of antiarrhythmic drug therapy with implantable defibrillators in patients resuscitated from near fatal ventricular arrhythmias. N Engl J Med 337 (1997) 1576–1583

    Google Scholar 

  4. Hook, B.G., Callans, D.J., Kleiman, R.B., Flores, B.T., Marchlinski, F.E.: Implantable cardioverter-defibrillator therapy in the absence of significant symptoms. Circulation 87 (1993) 1897–1906

    Google Scholar 

  5. Gronefeld, G.C., Mauss, O., Li, Y.G., Klingeheben, T., Hohnloser, S.H.: Association between atrial fibrillation and appropriate implantable cardioverted defibrillator therapy: results from a prospective study. J Cardiovasc Electrophysiol 11 (2000) 1208–1214

    Article  Google Scholar 

  6. Kleiger, R.E., Miller, J.P., Bigger, J.T., Moss, A.: Decreased heart rate variability and its association with increased mortality after acute myocardial infarction. Am J Cardiol 59 (1987) 256–262

    Article  Google Scholar 

  7. Tsuji, H., Larson, M.G., Venditti, F.J. Jr, Manders, E.S., Evans, J.C., Feldman, C.L., Levy, D.: Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study. Circulation 94 (1996) 2850–2855

    Google Scholar 

  8. Kurths, J., Voss, A., Witt, A., Saparin, P., Kleiner, H.J., Wessel, N.: Quantitative analysis of heart rate variability. Chaos 5 (1995) 88–94

    Article  Google Scholar 

  9. Voss, A., Kurths, J., Kleiner, H.J., Witt, A., Wessel, N., Saparin, P., Osterziel, K.J., Schurath, R., Dietz, R.: The application of methods of non-linear dynamics for the improved and predictive recognition of patients threatened by sudden cardiac death. Cardiovasc Res 31 (1996) 419–433

    Article  Google Scholar 

  10. Wessel, N., Ziehmann, Ch., Kurths, J., Meyerfeldt, U., Schirdewan, A., Voss, A.: Short-term Forecasting of Life-threatening Cardiac Arrhythmias based on Symbolic Dynamics and Finite-Time Growth Rates. Phys Rev E 61 (2000) 733–739

    Article  Google Scholar 

  11. Wessel, N., Voss, A., Malberg, H., Ziehmann, Ch., Voss, H.U., Schirdewan, A., Meyerfeldt, U., Kurths, J.: Nonlinear analysis of complex phenomena in cardiological data. Herzschr Elektrophys 11 (2000) 159–173

    Article  Google Scholar 

  12. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electropysiology. Circulation 93 (1996) 1043–1065

    Google Scholar 

  13. Eckmann, J.-P., Kamphorst, S.O., Ruelle, D.: Recurrence plots of dynamical systems. Europhys Lett 4 (1987) 973–977

    Article  Google Scholar 

  14. Argyris, J.H., Faust, G., Haase, M.: An exploration of Chaos. North Holland, Amsterdam, 1994

    MATH  Google Scholar 

  15. Ott, E.: Chaos in dynamical systems: University Press, Cambridge, 1993

    MATH  Google Scholar 

  16. Zbilut, J.P., Webber Jr., C.L.: Embeddings and delays as derived from quantification of recurrence plots. Phys. Lett. A 171 (1992) 199–203

    Article  Google Scholar 

  17. Giuliani, A., Piccirillo, G., Marigliano, V., Colosimo, A.: A nonlinear explanation of aging-induced changes in heartbeat dynamics. Am J Physiol 275 (1998) H1455-H14691

    Google Scholar 

  18. Gonzalez, J.J., Cordero, J.J., Feria, M., Pereda, E.: Detection and sources of nonlinearity in the variability of cardiac R-R intervals and blood pressure in rats. Am J Physiol Heart Circ Physiol 279 (2000) H3040-H3046

    Google Scholar 

  19. Censi, F., Barbaro, V., Bartolini, P., Calcagnini, G., Michelucci, G. F., Cerutti, S.: Recurrent patterns of atrial depolarization during atrial fibrillation assessed by recurrence plot quantification. in: Annals of Biomedical Engineering 28 (2000), 61–70

    Article  Google Scholar 

  20. Gao, J., Cai, H.: On the structures and quantification of recurrence plots. Physics Letter A 270 (2000), 75–87

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wessel, N., Marwan, N., Meyerfeldt, U., Schirdewan, A., Kurths, J. (2001). Recurrence Quantification Analysis to Characterise the Heart Rate Variability Before the Onset of Ventricular Tachycardia. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_45

Download citation

  • DOI: https://doi.org/10.1007/3-540-45497-7_45

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42734-6

  • Online ISBN: 978-3-540-45497-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics