[中央主动脉压估计算法研究进展]。

Q4 Medicine
Shuo Du, Shuran Zhou, Guanglei Wang, Haijun Zhu, Lisheng Xu
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引用次数: 0

摘要

高血压是导致心血管事件和死亡的主要因素,准确的血压测量是评价血压水平、实现高血压诊断、观察降压疗效的基本手段。与传统的肱动脉压相比,中央主动脉压(CAP)与心血管事件的相关性更强。但其无创检测技术尚未广泛应用于临床。为了促进CAP的临床应用,优化血压管理,本文系统总结了CAP估计算法的研究进展。这些算法可分为三类:直接替代方法、基于广义模型的方法和个性化估计方法。分析了各算法的特点及临床适应性。研究结果表明,CAP估计算法正朝着个性化和非线性的方向发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Research progress in central aortic pressure estimation algorithms].

Hypertension is a major factor leading to cardiovascular events and death, and accurate blood pressure measurement is a fundamental means of evaluating blood pressure levels, achieving hypertension diagnosis, and observing antihypertensive efficacy. Compared to traditional brachial pressure, central aortic pressure (CAP) exhibits a stronger correlation with cardiovascular events. However, its non-invasive detection technology has not yet been widely adopted in clinical practice. In order to promote the clinical application of CAP and optimize blood pressure management, this article systematically summarizes the research progress of CAP estimation algorithms. These algorithms were categorized into three types: direct substitution methods, generalized model-based methods and personalized estimation methods. The characteristics and clinical adaptability of each algorithm were analyzed. The findings highlight that CAP estimation algorithms are moving towards personalization and non-linearity.

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来源期刊
生物医学工程学杂志
生物医学工程学杂志 Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
4868
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