Выходит 12 номеров в год
ISSN Печать: 0040-2508
ISSN Онлайн: 1943-6009
Indexed in
ARTERIAL BLOOD PRESSURE EVALUATION BASED ON JOINT PROCESSING OF THE VITAL SIGNS PARAMETERS
Краткое описание
A novel method is suggested for evaluation of arterial blood pressure (BP) on the basis of joint processing of several vital signs parameters (VS) of a human, namely, heart rate (HR), pulse transit time (PTT), and heart rate variability parameters (HRV). The experiments demonstrate a rather high accuracy of measured BP in comparison with traditional methods of blood pressure (TMBP) measuring techniques.
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Viunytskyi Oleh, Shulgin Vyacheslav, Sharonov Valery, Totsky Alexander, Non-invasive Cuff-less Measurement of Blood Pressure Based on Machine Learning, 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), 2020. Crossref
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Viunytskyi O. G., Shulgin V. I. , Totsky Alexander V., Eguiazarian K. O. , HUMAN BLOOD PRESSURE MEASUREMENT USING MACHINE LEARNING STRATEGY , Telecommunications and Radio Engineering, 81, 3, 2022. Crossref
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Sergieiev Viktor, Kyrychenko Volodymyr, Kulbashevska Tetiana, Biletskyi Ihor, Evaluation of Endothelium Regulation of Vascular Tone, in Smart Technologies in Urban Engineering, 536, 2023. Crossref
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Kyrychenko Volodymyr, Kulbashevska Tetiana, Sergieiev Viktor, Piddubna Lidiia, Pulse Wave Propagation Velocity and Assessment of Arterial Vessel Elasticity, in Smart Technologies in Urban Engineering, 536, 2023. Crossref