Poincaré plot indexes of heart rate variability: Relationships with other nonlinear variables

Autonomic Neuroscience: Basic and Clinical

Volumn 177, Issue 2, 2013, Pages 271-274

  Hoshi, Rosangela Akemi ^a   Pastre, Carlos Marcelo ^b   Vanderlei, Luiz Carlos Marques ^b   Godoy, Moacir Fernandes ^a  

^a FACULDADE DE MEDICINA DE SÃO JOSÉ DO RIO PRETO   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

Author keywords

Chaos theory; DFA ( 1); Heart rate variability; Nonlinear analysis; Poincar plot

Indexed keywords

ADULT; ARTICLE; COMPARATIVE STUDY; CORONARY ARTERY DISEASE; CORRELATION COEFFICIENT; FEMALE; HEART INDEX; HEART RATE VARIABILITY; HUMAN; MAJOR CLINICAL STUDY; MALE; NONLINEAR SYSTEM; POINCARE PLOT INDEX; PRIORITY JOURNAL; REGRESSION ANALYSIS; RR INTERVAL; SUPINE POSITION;

CHAOS THEORY; DFA (Α1); HEART RATE VARIABILITY; NONLINEAR ANALYSIS; POINCARÉ PLOT;

FEMALE; HEART RATE; HUMANS; MALE; MIDDLE AGED; NONLINEAR DYNAMICS; SUPINE POSITION; YOUNG ADULT;

EID: 84883809867     PISSN: 15660702     EISSN: 18727484     Source Type: Journal    
DOI: 10.1016/j.autneu.2013.05.004     Document Type: Article

References (46)

1. Acharya U.R., Lim C.M., Joseph P. Heart rate variability analysis using correlation dimension and detrended fluctuation analysis. ITBM-RBM 2002, 23:333-339.
2. Acharya U.R., Kannathal N., Sing O.W., Ping L.W., Chua T. Heart rate analysis in normal subjects of various age groups. BioMed. Eng. OnLine 2004, 3:24-31.
3. Acharya U.R., Joseph K.P., Kannathal N., Lim C.M., Suri J.S. Heart rate variability: a review. Med. Biol. Eng. Comput. 2006, 44(12):1031-1051.
4. Bastos F.N., Vanderlei L.C., Nakamura F.Y., Bertollo M., Godoy M.F., Hoshi R.A., Junior J.N., Pastre C.M. Effects of cold water immersion and active recovery on post-exercise heart rate variability. Int. J. Sports Med. 2012, 33:873-879.
5. Brennan M., Palaniswami M., Kamen P. Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability?. IEEE Trans. Biomed. Eng. 2001, 48(11):1342-1347.
6. Buchheit M., Laursen P.B., Ahmaidi S. Parasympathetic reactivation after repeated sprint exercise. Am. J. Physiol. Heart Circ. Physiol. 2007, 293:H133-H141.
7. Carvalho T.D., et al. Fractal correlation property of heart rate variability in chronic obstructive pulmonary disease. Int. J. COPD 2011, 6:23-28.
8. Chappell D., Panagiotidis T. Using the Correlation Dimension to Detect Non-linear Dynamics. Evidence from the Athens Stock Exchange [Online] Available at:, (Accessed 11 October 2012). http://www.lboro.ac.uk/departments/ec/Reasearchpapers/2004/Long%20version_wp1.pdf.
9. Corrêa P.R., Catai A.M., Takakura I.T., Machado M.N., Godoy M.F. Heart rate variability and pulmonary infections after myocardial revascularization. Arq. Bras. Cardiol. 2010, 95(4):448-456.
10. DePetrillo P.B., Speers A., Ruttimann U.E. Determining the Hurst exponent of fractal series and its application to electrocardiographic analysis. Comp. Biol. Med. 1999, 29:393-406.
11. De Vito G., Galloway S.D., Nimmo M.A., Maas P., McMurray J.J. Effects of central sympathetic inhibition on heart rate variability during steady-state exercise in healthy humans. Clin. Physiol. Funct. Imaging 2002, 22:32-38.
12. Eckmann J.P., Ruelle D. Ergodic theory of chaos and strange attractors. Rev. Mod. Phys. 1985, 57:617-656. (effect of endurance training. Eur. J. Appl. Physiol. 91, 79-87).
13. Foss J.M., Apkarian A.V., Chialvo D.R. Dynamics of pain: fractal dimension of temporal variability of spontaneous pain differentiates between pain states. J. Neurophysiol. 2006, 95(2):730-736.
14. Guzzetti S., Signorini M.G., Cogliati C., Mezzetti S., Porta A., Cerutti S., Malliani A. Non-linear dynamics and chaotic indices in heart rate variability of normal subjects and heart-transplanted patients. Cardiovasc. Res. 1996, 31(3):441-446.
15. Huikuri H., Makikallio T.H., Perkiomaki J. Measurement of heart rate variability by methods based on nonlinear dynamics. J. Electrocardiol. 2003, 36:95-99. (Suppl.).
16. Javorka M., Zila I., Balhárek T., Javorka M. Heart rate recovery after exercise: relations to heart rate variability and complexity. Braz. J. Med. Biol. Res. 2002, 32:991-1000.
17. Karmakar C.K., Khandoker A.H., Gubbi J., Palaniswami M. Complex correlation measure: a novel descriptor for Poincaré plot. BioMed. Eng. OnLine 2009, 8:17.
18. Karmakar C.K., Gubbi J., Khandoker A.H., Palaniswami M. Analyzind temporal Variabililty of standard descriptors of Poincaré plots. J. Electrocardiol. 2010, 43:719-724.
19. Kikuchi A., Shimizu T., Hayashi A., Horikoshi T., Unno N., Kozuma S., Taketani Y. Nonlinear analyses of heart rate variability in normal and growth-restricted fetuses. Early Hum. Dev. 2006, 82(4):217-226.
20. Kim K.K., Baek H.J., Lim Y.G., Park K.S. Effect of missing RR-interval data on nonlinear heart rate variability analysis. Comp. Methods Prog. Biomed. 2012, 106:210-218.
21. Krstacic G., Martinis M., Vargovic E., Knezevic A., Krstacic A. Non-linear dynamics in patients with stable angina pectoris. Presented at Computers in Cardiology 2001, 23-26. (Rotterdam: The Netherlands).
22. Krstacic G., Krstacic A., Smalcelj A., Milicic D., Jembrek-Gostovic M. The "Chaos Theory" and nonlinear dynamics in heart rate variability analysis: does it work in short-time series in patients with coronary heart disease?. Ann. Noninvasive Electrocardiol. 2007, 12(2):130-136.
23. Krstacic G., Parati G., Gamberger D., Castiglioni P., Krstacic A., Steiner R. Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy. Med. Biol. Eng. Comput. 2012, 50:1037-1046.
24. Lerma C., Infante O., Pérez-Grovas H., José M.V. Poincaré plot indexes of heart rate variability capture dynamic adaptations after haemodialysis in chronic renal failure patients. Clin. Physiol. Funct. Imaging 2003, 23:72-80.
25. Lewis M.J., Short A.L. Sample entropy of electrocardiographic RR and QT time-series data during rest and exercise. Physiol. Meas. 2007, 28:731-744.
26. Maestri R., et al. Nonlinear indices of heart rate variability in chronic heart failure patients: redundancy and comparative clinical value. J. Cardiovasc. Electrophysiol. 2007, 18(4):425-433.
27. Magagnin V., Bassani T., Bari V., Turiel M., Maestri R., Pinna G.D., Porta A. Non-stationarities significantly distort short-term spectral, symbolic and entropy heart rate variability indices. Physiol. Meas. 2011, 32:1775-1786.
28. Mäkikallio T.H., Tulppo M.P., Seppänen T., Huikuri H.V. Analysis of nonlinear heart rate dynamics in cardiac arrhythmias. Herzschr. Elektrophys. 2000, 11:131-138.
29. Mourot L., Bouhaddi M., Perrey S., Cappelle S., Henriet M.T., Wolf J.P., Rouillon J.D., Regnar J. Decrease in heart rate variability with overtraining: assessment by the PoincareD́ plot analysis. Clin. Physiol. Funct. Imaging 2004, 24:10-18.
30. Mourot L., Bouhaddi M., Perrey S., Rouillon J.D., Regnard J. Quantitative Poincaré plot analysis of heart rate variability: effect of endurance training. Eur. J. Appl. Physiol. 2004, 91:79-87.
31. Niskanen J.-P., Tarvainen M.P., Ranta-aho P.O., Karjalainen P.A. Software for advanced HRV analysis. Comput. Methods Prog. Biomed. 2004, 76:73-81.
32. Peng C.K., Havlin S., Stanley H.E., Goldberger A.L. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos 1995, 5(1):82-87.
33. Penttilä J., Helminen A., Jartti T., Kuusela T., Huikuri H.V., Tulppo M.P., Scheinin H. Effect of cardiac vagal outflow on complexity and fractal correlation properties of heart rate dynamics. Auton. Autacoid Pharmacol. 2003, 23(3):173-179.
34. Porta A., D'Addio G., Guzzetti S., Lucini D., Pagani M. Testing the presence of non stationarities in short heart rate variability series. Comput. Cardiol. 2004, 31:645-648.
35. Porta A., Gnecchi-Ruscone T., Tobaldini E., Guzzetti S., Furlan R., Montano N. Progressive decrease of heart period variability entropy-based complexity during graded head-up tilt. J. Appl. Physiol. 2007, 103:1143-1149.
36. RaRao R.K.A., Yeragani V.K. Decreased chaos and increased nonlinearity of heart rate time series in patients with panic disorder. Auton. Neurosci. 1999, 88:99-108.
37. Richman J.S., Moorman J.R. Physiological time-series analysis using approximante entropy and sample entropy. Am. J. Physiol. Heart Circ. Physiol. 2000, 278(6):H2039-H2049.
38. Stadnitski T. Measuring fractality. Front. Physiol. 2012, 3:1-13.
39. Task Force of ESC, NASPE Heart rate variability, standards of measurement, physiological interpretation, and clinical use. Circulation 1996, 17:354-381.
40. Todder D., Bersudsky Y., Cohen H. Nonlinear analysis of RR interval in euthymic bipolar disorder. Auton. Neurosci. 2005, 117(2):127-131.
41. Tulppo M.P., Makikallio T.H., Takala T.E., Seppanen T., Huikuri H.V. Quantitative beat-to-beat analysis of heart rate dynamics during exercise. Am. J. Physiol. 1996, 271(1 Pt. 2):H244-H252.
42. Tulppo M.P., Mäkikallio T.H., Seppänen T., Laukkanen R.T., Huikuri H.V. Vagal modulation of heart rate during exercise: effects of age and physical fitness. Am. J. Physiol. Heart Circ. Physiol. 1998, 274(2 Pt. 2):H424-H429.
43. Vanderlei L.C.M., Pastre C.M., Hoshi R.A., Carvalho T.D., Godoy M.F. Noções básicas de variabilidade da frequência cardíaca e sua aplicabilidade clínica. Rev. Bras. Cir. Cardiovasc. 2009, 24(2):205-217.
44. Vuksanovic V., Gal V. Nonlinear and chaos characteristics of heart period time series: healthy aging and postural change. Auton. Neurosci. 2005, 121:94-100.
45. Wagner C.D., Persson P.B. Onlinear chaotic dynamics of arterial blood pressure and renal blood flow. Am. J. Physiol. 1985, 268:H621-H627.
46. Woo M.A., Stevenson W.G., Moser D.K., Trelease R.B., Harper R.M. Patterns of beat-to-beat heart rate variability in advanced heart failure. Am. Heart J. 1992, 123(3):704-710.