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Assessment of heart rate variability by application of central tendency measure

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Abstract

The heart rate variability (HRV) is an indicator of the subject homeostasis alterations. For a healthy individual, the HRV shows a nonlinear behavior, thus requiring a nonlinear approach to provide additional information about HRV dynamics. In this work, the nonlinear techniques, central tendency measure (CTM) and second-order difference plot, are applied to HRV analysis using the successive difference of RR intervals in a time series. In total are analyzed 170 tachograms collected by Polar monitor and then classified into three groups according to a cardiologist: healthy young adults, adults in preoperative evaluation for coronary artery bypass grafting for severe coronary disease and premature newborns. This approach identified the tachograms with high and low variability, which demonstrates the ability of CTM to classify and quantitatively characterize cardiac RR intervals.

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Acknowledgments

The authors thank Conselho Nacional de Desenvolvimento Científico e Tecnológico for financial support. L. dos Santos thanks Comissão de Aperfeiçoamento de Pessoal do Nível Superior (No. 88881062862/2014-01) for the grants, and EENM thanks Fundação de Amparo à Pesquisa do Estado de São Paulo (Grant No. 2011/50151-0) for support.

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Authors and Affiliations

  1. Universidade do Vale do Paraíba - UNIVAP, São José dos Campos, São Paulo, Brazil

    Laurita dos Santos

  2. Instituto Nacional de Pesquisas Espacias - INPE, São José dos Campos, São Paulo, Brazil

    Joaquim J. Barroso & Elbert E. N. Macau

  3. Faculdade de Medicina de São José do Rio Preto - Famerp, São José do Rio Preto, São Paulo, Brazil

    Moacir F. de Godoy

Authors
  1. Laurita dos Santos
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  2. Joaquim J. Barroso
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  3. Elbert E. N. Macau
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  4. Moacir F. de Godoy
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Correspondence to Laurita dos Santos.

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dos Santos, L., Barroso, J.J., Macau, E.E.N. et al. Assessment of heart rate variability by application of central tendency measure. Med Biol Eng Comput 53, 1231–1237 (2015). https://doi.org/10.1007/s11517-015-1390-8

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  • DOI: https://doi.org/10.1007/s11517-015-1390-8

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