Assessment of arteriosclerosis based on lognormal fitting.

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-11-14 DOI:10.1088/1361-6579/ad8f29
Hao Tang, Yumin Li, Lulu Zhao, Tenghui Xiang, Ziqi Zhang, Jianqing Li, Chengyu Liu
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Abstract

Objective. Pulse pressure waves contain information about human physiology. There is a need for a simple, accurate way to know cardiovascular health in the clinic, so as to realize the implementation of convenient and effective early health monitoring for patients with arteriosclerosis.Approach. This study proposes an arteriosclerosis assessment method based on fitting a lognormal function, along with improving a conventional electronic sphygmomanometer. During the deflation phase of blood pressure measurement, the cuff pressure was kept constant (40 mmHg) and an additional 10 s of pulse signal was acquired. To derive the pulse pressure waveforms for a single cycle, the acquired pulse data of 101 cases were preprocessed in this study, including filtering for noise removal, onset point identification, removal of baseline drift, and normalization. In this study, an improved pulse resolution algorithm is proposed for the multimodal problem of the pulse wave, combining waveform matching and threshold setting, and finally obtaining the resolution parameters of the lognormal function with an average error less than 1.5%.Main results. According to the correlation analysis, the resolved parametersA1,W2,C2,W3, andC3were significantly correlated with brachial-ankle Pulse Wave Velocity, and the absolute correlation range in 0.17-0.53, which can be used as a reference index for arteriosclerosis. An arteriosclerosis assessment model was constructed based on the support vector mechanism, and the prediction accuracy was 91.1%.Significance. This study provides a new solution idea for the arteriosclerosis assessment method as well as the pulse resolution algorithm, which has a greater reference value.

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基于对数正态拟合的动脉硬化评估。
目的脉压波包含人体生理信息。临床上需要一种简单、准确的方法来了解心血管健康状况,从而实现对动脉硬化患者实施便捷、有效的早期健康监测:本研究在改进传统电子血压计的同时,提出了一种基于对数正态函数拟合的动脉硬化评估方法。在血压测量的放气阶段,袖带压力保持恒定(40 毫米汞柱),并额外采集 10 秒钟的脉搏信号。为了获得单个周期的脉压波形,本研究对 101 个病例的脉搏数据进行了预处理,包括滤除噪声、识别起始点、去除基线漂移和归一化。针对脉搏波的多模态问题,本研究提出了一种改进的脉搏分辨率算法,将波形匹配和阈值设置相结合,最终得到对数正态函数的分辨率参数,平均误差(MAE)小于 1.5%:根据相关性分析,解析参数 A1、W2、C2、W3 和 C3 与 ba-PWV 显著相关,绝对相关范围在 0.17- 0.53 之间,可作为动脉硬化的参考指标。基于支持向量机制构建了动脉硬化评估模型,预测准确率为91.1%:本研究为动脉硬化评估方法以及脉搏解析算法提供了新的解决思路,具有较大的参考价值。
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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
期刊最新文献
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