Reproducibility of heart rate variability characteristics measured on random 10-second ECG using joint symbolic dynamics

Muammar M. Kabir, Golriz Sedaghat, Jason Thomas, Larisa Tereshchenko

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper we employed joint symbolic dynamics (JSD) approach to study reproducibility of heart rate variability characteristics measured on 2 randomly selected 10-second segments within 3-minute resting orthogonal ECG in 170 healthy participants. First, the ECG R-peaks were detected using parabolic fitting. Second, the respiratory signal was derived from orthogonal ECG X-lead using QRS slopes. Third, time series of R-R intervals and respiratory phases (calculated using Hilbert transform), were transformed into tertiary symbol vectors based on their successive changes and words of length '3' were formed. Bland-Altman analysis was used to assess the agreement between measured log-transformed JSD characteristics of HRV, and their reproducibility. Traditional HRV measures such as RR' interval changes showed a very high reproducibility. However, agreement between two 10-second JSD indices of HRV was low. Interestingly, a significant decrease in low-high alterations of HRV dynamics measured using JSD was observed when respiratory phase transition intervals were excluded (10s: 4.7±9.4 vs. 24.8±21.0%, p<0.0001; 3min: 9.8±8.1 vs. 24.8±12.3%, p<0.0001).

    Original languageEnglish (US)
    Title of host publicationComputing in Cardiology Conference, CinC 2016
    PublisherIEEE Computer Society
    Pages289-292
    Number of pages4
    Volume43
    ISBN (Electronic)9781509008964
    StatePublished - Mar 1 2017
    Event43rd Computing in Cardiology Conference, CinC 2016 - Vancouver, Canada
    Duration: Sep 11 2016Sep 14 2016

    Other

    Other43rd Computing in Cardiology Conference, CinC 2016
    CountryCanada
    CityVancouver
    Period9/11/169/14/16

    Fingerprint

    Electrocardiography
    Joints
    Heart Rate
    Phase Transition
    Healthy Volunteers
    Time series
    Lead
    Phase transitions

    ASJC Scopus subject areas

    • Computer Science(all)
    • Cardiology and Cardiovascular Medicine

    Cite this

    Kabir, M. M., Sedaghat, G., Thomas, J., & Tereshchenko, L. (2017). Reproducibility of heart rate variability characteristics measured on random 10-second ECG using joint symbolic dynamics. In Computing in Cardiology Conference, CinC 2016 (Vol. 43, pp. 289-292). [7868736] IEEE Computer Society.

    Reproducibility of heart rate variability characteristics measured on random 10-second ECG using joint symbolic dynamics. / Kabir, Muammar M.; Sedaghat, Golriz; Thomas, Jason; Tereshchenko, Larisa.

    Computing in Cardiology Conference, CinC 2016. Vol. 43 IEEE Computer Society, 2017. p. 289-292 7868736.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kabir, MM, Sedaghat, G, Thomas, J & Tereshchenko, L 2017, Reproducibility of heart rate variability characteristics measured on random 10-second ECG using joint symbolic dynamics. in Computing in Cardiology Conference, CinC 2016. vol. 43, 7868736, IEEE Computer Society, pp. 289-292, 43rd Computing in Cardiology Conference, CinC 2016, Vancouver, Canada, 9/11/16.
    Kabir MM, Sedaghat G, Thomas J, Tereshchenko L. Reproducibility of heart rate variability characteristics measured on random 10-second ECG using joint symbolic dynamics. In Computing in Cardiology Conference, CinC 2016. Vol. 43. IEEE Computer Society. 2017. p. 289-292. 7868736
    Kabir, Muammar M. ; Sedaghat, Golriz ; Thomas, Jason ; Tereshchenko, Larisa. / Reproducibility of heart rate variability characteristics measured on random 10-second ECG using joint symbolic dynamics. Computing in Cardiology Conference, CinC 2016. Vol. 43 IEEE Computer Society, 2017. pp. 289-292
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