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Possible Caveats of Ultra-short Heart Rate Variability Reliability: Insights from Recurrence Quantification Analysis

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XXVII Brazilian Congress on Biomedical Engineering (CBEB 2020)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 83))

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Abstract

The heart rate variability (HRV) is the difference between consecutive R-R intervals of heartbeats measured in milliseconds. HRV indices represent the role of sympathetic and parasympathetic autonomic branches. Even though HRV is considered an indirect biomarker of Autonomic Nervous System, there are not yet standardized protocols providing reliable clinical measures. One of the reasons is because HRV techniques requires long recording periods. There are attempts of decreasing the required recording, such as the strategy of ultra-short HVR recording (<one minute), which could make the utilization of the technique easier. However, there is little published about its reliability. This work proposes a method to evaluate the reliability of ultra-short HVR based in Poincare map and Recurrence Quantification Analysis, well known methods to assess nonlinear and dynamic information from a system, in order to verify the reliability of the use of ultra-short term HRV. Then, these results was compared with the classical HRV coefficients, such as rMSSD, recorded from subjects in spontaneous breathing and also, in controlled breathing protocols. As a conclusion, using the proposed methods, we were able to show the discrepancy between the segments of interest, both on mean and in variance, explained in the analysis of main components.

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Acknowledgements

This work was supported by PRONEX Program (Programa de Núcleos de Excelência—NENASC Project) of FAPESC-CNPq-MS, Santa Catarina Brazil (process number 56802/2010). RW is a Researcher Fellow from CNPq (Brazilian Council for Scientific and Technologic Development, Brazil) and HMM is supported by CAPES/DS scholarship. We also would like to thank for the Call of the Support of Assistive Technology Projects—TA2016/CNPq, process number: 442563/2016-7.

Conflict of Interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Brain Education Laboratory (LEC), Department of Psychology, Federal University of Santa Catarina, Florianopolis, Brazil

    Hiago Murilo Melo & Emílio Takase

  2. Postgraduate Program in Neurosciences, Federal University of Santa Catarina, Florianopolis, Brazil

    Hiago Murilo Melo & Roger Walz

  3. Postgraduate Program in Medical Sciences, Federal University of Santa Catarina, Florianopolis, Brazil

    Roger Walz

  4. Center of Applied Neuroscience (CeNAp), Department of Clinical Medicine, Federal University of Santa Catarina, Florianopolis, Brazil

    Hiago Murilo Melo & Roger Walz

  5. Department of Neurology and Neurosurgery, Laboratory of Neuroengineering and Neurocognition (LaNN), Escola Paulista de Medicina (EPM)—Federal University of São Paulo (UNIFESP), São Paulo, Brazil

    Mariana Cardoso Melo & Jean Faber

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  1. Hiago Murilo Melo
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  2. Mariana Cardoso Melo
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  3. Roger Walz
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  4. Emílio Takase
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  5. Jean Faber
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Correspondence to Mariana Cardoso Melo .

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Editors and Affiliations

  1. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Teodiano Freire Bastos-Filho

  2. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Eliete Maria de Oliveira Caldeira

  3. Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória, Brazil

    Anselmo Frizera-Neto

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Melo, H.M., Melo, M.C., Walz, R., Takase, E., Faber, J. (2022). Possible Caveats of Ultra-short Heart Rate Variability Reliability: Insights from Recurrence Quantification Analysis. In: Bastos-Filho, T.F., de Oliveira Caldeira, E.M., Frizera-Neto, A. (eds) XXVII Brazilian Congress on Biomedical Engineering. CBEB 2020. IFMBE Proceedings, vol 83. Springer, Cham. https://doi.org/10.1007/978-3-030-70601-2_302

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  • DOI: https://doi.org/10.1007/978-3-030-70601-2_302

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  • Print ISBN: 978-3-030-70600-5

  • Online ISBN: 978-3-030-70601-2

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