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New Biophysical Approach in Analysis of Heart Rate Variability for Increasing its Predictive Value

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dc.contributor.author SIDORENKO, Ludmila
dc.contributor.author SPINEI, Larisa
dc.contributor.author BAUMANN, Gert
dc.date.accessioned 2022-12-27T10:33:01Z
dc.date.available 2022-12-27T10:33:01Z
dc.date.issued 2022
dc.identifier.citation SIDORENKO, Ludmila, SPINEI, Larisa, BAUMANN, Gert. New Biophysical Approach in Analysis of Heart Rate Variability for Increasing its Predictive Value. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 41-45. en_US
dc.identifier.uri https://doi.org/10.52326/ic-ecco.2022/BME.04
dc.identifier.uri http://repository.utm.md/handle/5014/21824
dc.description.abstract Background. Regarding the high incidence of cardiovascular diseases, it is critical to find predictors. The aim of this study is to appreciate the predivtive value of of recently-found parameters of cardiorhythmogram analysis applying the new biophysical approach for predicting the recurrence of atrial fibrillation. Material and methods. This is a case-series study, where 350 cardiorhythmograms were assessed. For assessment both methods were applied, the standard heart rate variability analysis and new approach by the parameters HF counterregulation and LF drops. Results. The both newly-found parameters predict reliably atrial fibrillation recurrence. The significance of the parameter HF counterregulation is p < 0.0001, in case of the parameter LF drops it is p < 0.001. Conclusions. In case if prediction is needed, the standard heart rate variability should be completed by the new biophysical approach, applying the parameters HF counterregulation and LF drops. Steady-state cardiorhythmograms with events of unstationarity can be realiably analysed just by these parameters. Events of unstationarity are informative sources for prediction. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject cardiorhythmograms en_US
dc.subject atrial fibrillation en_US
dc.subject biophysics en_US
dc.subject unstationarity en_US
dc.subject heart rates en_US
dc.subject atrial fibrillation en_US
dc.title New Biophysical Approach in Analysis of Heart Rate Variability for Increasing its Predictive Value en_US
dc.type Article en_US


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  • 2022
    Proceedings of the 12th IC|ECCO; October 20-21, 2022

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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