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Authors: Inna Korneeva ; Kristina Kramar ; Evgeniia Semenova and Zafar Yuldashev

Affiliation: Saint Petersburg Electrotechnical University "LETI", 5, Professora Popova St., Saint-Petersburg, Russian Federation

Keyword(s): Remote Monitoring, Instrumental Methods, Complex of Biomedical Signals and Indicators, Assessment of the Current State, Dynamics Analysis, Short-Term Predicting, Pregnancy Complication.

Abstract: The development results of the system for remote monitoring of pregnant women's health state and pregnancy complications prediction are discussed. A set of diagnostically significant indicators has been substantiated and formed to assess the current state, monitoring and control of pregnant women health and prediction of pregnancy complications. Four groups of indicators showing the functioning of cardiovascular and endocrine systems of the body, biochemical urine indicators, and indicators taking into account subjective assessment of the pregnancy course have been identified. To assess these indicators, a set of biomedical signals is proposed, signal acquisition tools and an automated questionnaire of a pregnant woman was suggested according to experts’ recommendations. A method for forming an integral assessment by groups of indicators, considering the risk of pregnancy complications and weight of a diagnostically significant indicator, and a method for short-term predicting of pre gnancy complications based on the dynamics analysis of various groups of integral indicators are developed. An experimental sample of the system was developed and its individual functions were clinically tested in order to assess the correctness of the proposed solutions. The results of the approbation are discussed. (More)

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Paper citation in several formats:
Korneeva, I.; Kramar, K.; Semenova, E. and Yuldashev, Z. (2022). A System for Remote Monitoring of Pregnant Women's Health State and Pregnancy Complications Prediction. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - RMHM; ISBN 978-989-758-552-4; ISSN 2184-4305, SciTePress, pages 306-314. DOI: 10.5220/0011011500003123

@conference{rmhm22,
author={Inna Korneeva. and Kristina Kramar. and Evgeniia Semenova. and Zafar Yuldashev.},
title={A System for Remote Monitoring of Pregnant Women's Health State and Pregnancy Complications Prediction},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - RMHM},
year={2022},
pages={306-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011011500003123},
isbn={978-989-758-552-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - RMHM
TI - A System for Remote Monitoring of Pregnant Women's Health State and Pregnancy Complications Prediction
SN - 978-989-758-552-4
IS - 2184-4305
AU - Korneeva, I.
AU - Kramar, K.
AU - Semenova, E.
AU - Yuldashev, Z.
PY - 2022
SP - 306
EP - 314
DO - 10.5220/0011011500003123
PB - SciTePress