Early diagnostics of the preeclampsia by dynamic monitoring of pregnant women heart rhythm

М. Є. Кирильчук, Є. В. Найштетік

Abstract


According to WHO data, 2–8% of pregnant women are at risk of preeclampsia – pathology, which is one of the main causes of mortality in pregnant women. Among the main risk factors is high blood pressure. In particular, prolonged/chronic arterial hypertension increases the probability of preeclampsia by 7–8 times. Thus, the above studies have demonstrated the presence in pregnancy the relationship between increased blood pressure and sympathetic activation of the autonomic nervous system, which is calculated using components of the frequency domain of heart rate variability – LF/HF.

Due to the fact that the only standardized source of information for heart rate variability analysis is an electrocardiogram, it is required use of wearable ECG devices and software for automated interpretation of rhythmograms for continuous monitoring of blood pressure risk. The sharp increase in LF/HF detected with it is a trigger for the use cardiological guidelines for the prevention and treatment of preeclampsia and eclampsia.

To address this, among other things, this task was developed by the world’s first ECG sensor for continuous recording of single-handed RR intervals – SenceBand and cloud technology for automated ECG interpretation – PRECISE. The sensor removes an array of ECG RR-intervals duration of 160 or 330 seconds every 10, 30, or 60 minutes. The information is processed by a mobile phone with iOS or Android operating systems and sent to the server in accordance with the ISO/HL7 standard, where the physician can track daily trends throughout the range of heart rate variability. Sensors using for continuous monitoring of heart rate variability from one hand in pregnant women is much more comfortable than using Holter’s monitors, smart clothes and ECG patches.


Keywords


arterial hypertension; pregnancy; preeclampsia; eclampsia; cardiac rhythm variability; dynamic ECG monitoring; ECG sensor; SenceBand; PRECISE

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DOI: https://doi.org/10.18370/2309-4117.2018.41.32-37

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ISSN 2411-1295 (Online), ISSN 2309-4117 (Print)