Poincaré Plots in Analysis of Selected Biomedical Signals

Open access


Poincaré plot is a return map which can help perform graphical analysis of data. We can also fit an ellipse to the plot shape by determining descriptors SD1, SD2 and SD1/SD2 ratio to study the data quantitatively. In this paper we show examples of application of Poincaré plots in analysis of various kinds of biomedical signals: RR intervals, EMG, gait data and EHG.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Biala T. Godge M. Schlindwein F. S. & Wailoo M. (2010). Heart rate variability using Poincaré plots in 10 year old healthy and intrauterine growth restricted children with reference to maternal smoking habits during pregnancy. In Conference Proceeding: Computingin Cardiology 26-29 September 2010 (pp. 971-974). Belfast Ireland.

  • Brennan M. Palaniswami M. & Kamen P. (2001). Do existing measures of poincare plot geometry reflect nonlinear features of heart rate variability. IEEE Transactions on Biomedical Engineering 48 1342-1347. DOI: 10.1109/10.959330.

  • Faust O. Acharya U. R. Molinari F. Chattopadhyay S. & Tamura T. (2012). Linear and non-linear analysis of cardiac health in diabetic subjects. Biomedical Signal Processing and Control 7 295-302. DOI: 10.1016/j.bspc.2011.06.002.

  • Goldberger A. L. Amaral L. A. N. Glass L. Hausdorff J. M. Ivanov P. Ch. Mark R. G. Mietus J. E. Moody G. B. Peng C.-K. & Stanley H. E. (2000). PhysioBank PhysioToolkit and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23) e215-e220. Retrieved July 30 2013 from Circulation Electronic Pages: http://circ.ahajournals.org/cgi/content/full/101/23/e215.

  • Hoshi R. A. Pastre C. M. Vanderlei L. C. M. & Godoy M. F. (2013). Poincaré plots indexes of heart rate variability: relationship with other nonlinear variables. Autonomic Neuroscience Retrieved July 30 2013 from ScienceDirect database on the World Wide Web: http://www.sciencedirect.com. DOI: 10.1016/j.autneu.2013.05.004.

  • Karmakar C. K. Khandoker A. H. Gubbi J. & PalaniswamiM. (2009). Complex correlation measure: a novel descriptor for Poincaré plot. BioMedical Engineering OnLine 8(17). Retrieved July 30 2013 from BioMedical Engineering OnLine on the World Wide Web: http://www.biomedical-engineering-online.com. DOI: 10.1186/1475-925X-8-17.

  • Kitlas A. Oczeretko E. Kowalewski M. & Urban M. (2004). Poincaré plots in analysis of heart rate variability. Physica Medica XX (Suppl. 1) 76-79.

  • Piskorski J. & Guzik P. (2007). Geometry of Poincaré plot of RR intervals and its asymmetry in healthy adults. Physiological Measurement 28 287-300. DOI: 10.1088/0967-3334/28/3/005.

  • Tulppo M. P. Makikallio T. H. Takala T. E. S. & Seppanen T. V. H. H. (1996). Quantitative beat-to-beat analysis of heart rate dynamics during exercise. American Journal of Physiology 271 H244-H252.

  • Woo M. A. Stevenson W. G. Moser D. K. Trelease R. B. & Harper R. M. (1992). Patterns of beat-to-beat heart rate variability in advanced heart failure. American Heart Journal 123(3) 704-710.

Journal information
Impact Factor

Cite Score 2018: 0.29

SCImago Journal Rank (SJR) 2018: 0.138
Source Normalized Impact per Paper (SNIP) 2018: 0.358

Cited By
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 567 308 6
PDF Downloads 338 222 22