Systolic blood pressure and pulse intervals synchronization

Pyko, Nikita S.; Pyko, Svetlana A.; Markelov, Oleg A.; Bogachev, Mikhail I.

doi:10.1109/eiconrusnw.2015.7102294

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…Since our preliminary studies [35][36][37] indicated that the studied blood pressure-pulse intervals coupling metrics are not normally distributed, we used the methods of non-parametric statistics to process our results. To quantify the statistical significance of our results, we next applied the non-parametric Mann-Whitney U-test for independent samples [39].…”

Section: Discussionmentioning

confidence: 99%

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Quantification of the Feedback Regulation by Digital Signal Analysis Methods: Application to Blood Pressure Control Efficacy

Pyko

Markelov

et al. 2019

Applied Sciences

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Six different metrics of mutual coupling of simultaneously registered signals representing blood pressure and pulse interval dynamics have been considered. Stress test responses represented by the reaction of the recorded signals to the external input by tilting the body into the upright position have been studied. Additionally, to the conventional metrics like the joint signal coherence Coher and the sensitivity of the pulse intervals response to the blood pressure changes baroreflex sensitivity (BRS), also alternative indicators like the synchronization coefficient Sync and the time delay stability estimate TDS representing the temporal fractions of the analyzed signal records exhibiting rather synchronous dynamics have been determined. In contrast to BRS, that characterizes the intensity of the pulse intervals response to the blood pressure changes during observed feedback responses, both Sync and TDS likely indicate how often such responses are being activated in the first place. The results indicate that in most cases BRS is typically reciprocal to both Sync and TDS suggesting that low intensity of the feedback responses characterized by low BRS is rather compensated by their more frequent activation indicated by higher Sync and TDS. The proposed additional indicators could be complementary for the differential diagnostics of blood pressure regulation efficacy and also lead to a deeper insight into the involved concomitant factors this way also aiming at the improvement of the mathematical models representing the underlying feedback control mechanisms.

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Section: Discussionmentioning

confidence: 99%

“…To estimate the mutual synchronization behaviour of the two signals quantitatively we used the method based on the comparison of their phases [36]. Instantaneous phase values were determined by the Hilbert transform which is widely used in mathematics, physics and signal analysis.…”

Section: The Methods Of Pi and Brs Phase Synchronization Measurementmentioning

confidence: 99%

Quantification of the Feedback Regulation by Digital Signal Analysis Methods: Application to Blood Pressure Control Efficacy

Pyko

Markelov

et al. 2019

Applied Sciences

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“…To estimate the synchronization behaviour of the two processes quantitatively we used the method based on a comparison of their phases [3,4]. Instantaneous phase values are determined by Hilbert transform which is widely used in mathematics, physics and signal analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, we found that the synchronization coefficient Sync is significantly higher and the baroreflex sensitivity BRS is significantly lower in the group 2 (diabetic patients) compared with other groups of patients for the entire test records as well as for the fragments corresponding to both supine and orthostatic test phases (significance level p < 0.001). Since our preliminary studies [3,4,7] showed that the synchronization coefficient is not normally distributed, to calculate the correlations between the synchronization coefficient, the standard deviation of systolic blood pressure and the baroreflex sensitivity we used the nonparametric Spearman correlation coefficient.…”

Section: Std Sbpmentioning

confidence: 99%

Phase synchronization in a double-loop feedback model of blood pressure regulation

Pyko

Markelov

et al. 2016

2016 IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW)

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We studied the dynamics of blood pressure and heart rate fluctuations during a head-up tilt testing in 127 patients and healthy individuals. To assess the regulation efficiency, in addition to the conventionally measured baroreflex sensitivity BRS, we also studied the stochastic phase synchronization coefficient Sync between short-term variations of the blood pressure and the heart rate estimated by Hilbert transform. We observed either negative or insignificant correlations between BRS and Sync in healthy subjects as well as in patients with moderate autonomic disorders. We attribute this effect to the partial compensation of the reduced BRS by a more frequent activation of the feedback mechanism indicated by a higher Sync value. In contrast, in diabetes patients with confirmed autonomic neuropathy BRS and Sync exhibited pronounced positive correlation (C = 0.82; p < 0.01) that likely indicates the breakdown of this compensation mechanism.

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