The Respiratory Organs Effect on Hemodynamics Evaluating Method Based on Hydro-Cuff Technology

Markuleva, Marina V.; Gerashchenko, Mikhail S.; Gerashchenko, Sergey M.; Polosin, V. G.; Митрошин, А. Н.; Astafyev, A N

doi:10.1109/dcnair50402.2020.9216916

2020 4th Scientific School on Dynamics of Complex Networks and Their Application in Intellectual Robotics (DCNAIR) 2020

DOI: 10.1109/dcnair50402.2020.9216916

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The Respiratory Organs Effect on Hemodynamics Evaluating Method Based on Hydro-Cuff Technology

Marina V. Markuleva

Mikhail S. Gerashchenko

Sergey M. Gerashchenko

et al.

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2022

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The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying

Markuleva

Gerashchenko

et al. 2022

Sensors

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The task to develop a mechanism for predicting the hemodynamic parameters values based on non-invasive hydrocuff technology of a pulse wave signal fixation is described in this study. The advantages and disadvantages of existing methods of recording the ripple curve are noted in the published materials. This study proposes a new hydrocuff method for hemodynamic parameters and blood pressure values measuring. A block diagram of the device being developed is presented. Algorithms for processing the pulse wave contour are presented. A neural network applying necessity for the multiparametric feature space formation is substantiated. The pulse wave contours obtained using hydrocuff technology of oscillation formation for various age groups are presented. According to preliminary estimates, by the moment of the dicrotic surge formation, it is possible to judge the ratio of the heart and blood vessels work, which makes it possible to form an expanded feature space of significant parameters based on neural network classifiers. This study presents the characteristics accounted for creating a database for training a neural network.

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The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying

Markuleva

Gerashchenko

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

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The Respiratory Organs Effect on Hemodynamics Evaluating Method Based on Hydro-Cuff Technology

Cited by 1 publication

References 9 publications

The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying

The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying

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