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Improvement of Cardiovascular System Diseases Diagnostics by Using Multiparametric Data

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dc.contributor.author SHYSHKIN, Mykhailo
dc.contributor.author HOLDOBIN, Serhii
dc.contributor.author BUTOVA, Olha
dc.date.accessioned 2023-11-15T11:00:37Z
dc.date.available 2023-11-15T11:00:37Z
dc.date.issued 2023
dc.identifier.citation SHYSHKIN, Mykhailo, HOLDOBIN, Serhii, BUTOVA, Olha. Improvement of Cardiovascular System Diseases Diagnostics by Using Multiparametric Data. In: 6th International Conference on Nanotechnologies and Biomedical Engineering: proc. of ICNBME-2023, 20–23, 2023, Chisinau, vol. 2: Biomedical Engineering and New Technologies for Diagnosis, Treatment, and Rehabilitation, 2023, p. 333-342. ISBN 978-3-031-42781-7. e-ISBN 978-3-031-42782-4. en_US
dc.identifier.isbn 978-3-031-42781-7
dc.identifier.isbn 978-3-031-42782-4
dc.identifier.uri https://doi.org/10.1007/978-3-031-42782-4_37
dc.identifier.uri http://repository.utm.md/handle/5014/24816
dc.description Acces full text - https://doi.org/10.1007/978-3-031-42782-4_37 en_US
dc.description.abstract The most common cause of death among humans is cardiovascular disease. An effective way to detect early signs of cardiovascular disease is to constantly monitor the patient's critical physiological parameters during their daily activities using a wearable device. Most of these wearable devices available on the market can only register one or two types of biosignals, which are processed independently. On the one hand, these data obtained in this way are sufficient to see some changes in the cardiovascular system, but on the other hand, this type of device is bulky and uncomfortable to wear for a long time. One of the most promising methods for studying the cardiovascular system today is the use of multiparametric data, namely the combination of ECG and PPG data. Multivariable data is already used today for continuous non-invasive (cuffless) blood pressure measurement. However, the use of this type of data for a more complete analysis of the cardiovascular system is possible only at the initial stage of the study. The authors proposed a method that allows, due to the continuous processing of EGC and PPG data strictly synchronized in time, obtained from a wearable device, to assess the general state of the cardiovascular system and the risk of its disorders. Physionet data were used for verification. As part of the implementation of the device, a prototype of a wearable analyzer of the cardiovascular system was created and the first results were obtained. en_US
dc.language.iso en en_US
dc.publisher Springer Nature Switzerland 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 multiparametric data en_US
dc.subject ECG en_US
dc.subject cardiovascular diseases en_US
dc.subject wearable devices en_US
dc.title Improvement of Cardiovascular System Diseases Diagnostics by Using Multiparametric Data en_US
dc.type Article en_US


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  • 2023
    6th International Conference on Nanotechnologies and Biomedical Engineering, September 20–23, 2023, Chisinau, Moldova

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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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