压电脉搏计对人体心血管系统功能状态的分析

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology Biophysics Pub Date : 2024-03-18 DOI:10.1134/S0006350923060131
V. P. Nesterov, A. I. Burdygin, K. B. Ivanov, K. V. Sobol, I. V. Shemarova
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摘要

摘要 本文通过实例阐述了如何应用动脉压电脉搏测量计算机方法,该方法旨在为不同年龄和健康状况的患者提供快速的无创测试,以了解心血管系统的功能状态和自律神经调节的性质。左心室(LV)肌细胞的收缩成分是一种通用的肌肉效应器,既能确保心脏的基本泵血功能,又能通过外周神经体液机制对心脏收缩实施自律性调节,从而维持心脏血液动力学的最佳水平。研究发现,该分析提高了早期无创脉搏测量诊断对个体功能状态和人类心血管系统在发育过程中调节性质的预测价值。这些知识有助于识别可能威胁心血管系统保持动态平衡、自我调节和适应不断变化的环境条件的进化能力的风险,以及与机体失调有关的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Piezo Pulsometric Analysis of the Functional State of the Human Cardiovascular System

The article expounds, with examples, how to apply the computer method of arterial piezo pulsometry designed to provide a rapid noninvasive test for the functional state and the nature of autonomic regulation of the cardiovascular (CV) system in patients varying in age and health status. The involvement and role were assessed for the contractile component of left ventricular (LV) myocytes as a universal muscle effector that ensures both the basic pumping function of the heart and the implementation of the autonomic regulation of heart contractions via peripheral neurohumoral mechanisms that maintain the optimal level of cardiac hemodynamics. The analysis was found to enhance the predictive value of early noninvasive pulsometric diagnosis of the individual functional state and the nature of the regulation of the human CV system during ontogeny. This knowledge helps identifying the risk that may threaten the evolutionary ability of the CV system to maintain a dynamic balance, self-regulation, and adaptation to changing environmental conditions and is associated with distorted homeostasis of the body.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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