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

  • Rosangela Akemi Hoshi
    Corresponding author at: FAMERP - São José do Rio Preto Medicine School, PhD Program. Av. Brigadeiro Faria Lima, n 5416, Vila São Pedro. CEP: 15090-000 São José do Rio Preto, São Paulo, Brazil. Tel.: (+5517) 3201 5927.
    FAMERP - São José do Rio Preto Medicine School, Cardiology and Cardiovascular Surgery Departament, Transdisciplinary Nucleus of Studies on Complexity and Chaos(NUTECC), São José do Rio Preto, São Paulo, Brazil
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  • Carlos Marcelo Pastre
    UNESP - Univ Estadual Paulista, Physical Therapy Departament, Presidente Prudente Campus, São Paulo, Brazil
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  • Luiz Carlos Marques Vanderlei
    UNESP - Univ Estadual Paulista, Physical Therapy Departament, Presidente Prudente Campus, São Paulo, Brazil
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  • Moacir Fernandes Godoy
    FAMERP - São José do Rio Preto Medicine School, Cardiology and Cardiovascular Surgery Departament, Transdisciplinary Nucleus of Studies on Complexity and Chaos(NUTECC), São José do Rio Preto, São Paulo, Brazil
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      The Poincaré plot for heart rate variability analysis is a technique considered geometrical and non-linear, that can be used to assess the dynamics of heart rate variability by a representation of the values of each pair of R–R intervals into a simplified phase space that describes the system's evolution. The aim of the present study was to verify if there is some correlation between SD1, SD2 and SD1/SD2 ratio and heart rate variability nonlinear indexes either in disease or healthy conditions. 114 patients with arterial coronary disease and 65 healthy subjects underwent 30 minute heart rate registration, in supine position and the analyzed indexes were as follows: SD1, SD2, SD1/SD2, Sample Entropy, Lyapunov Exponent, Hurst Exponent, Correlation Dimension, Detrended Fluctuation Analysis, SDNN, RMSSD, LF, HF and LF/HF ratio. Correlation coefficients between SD1, SD2 and SD1/SD2 indexes and the other variables were tested by the Spearman rank correlation test and a regression analysis. We verified high correlation between SD1/SD2 index and HE and DFA (α1) in both groups, suggesting that this ratio can be used as a surrogate variable.

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