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对动脉样硬化症的评估基于逻辑正常的适配

Hao Tang¹, Yumin Li¹, Lulu Zhao¹

¹State Key Laboratory of Digital Medical Engineering, School of Instrument Science and Engineering, Southeast University, Nanjing 210096, People's Republic of China.

Physiological measurement

|November 5, 2024

概括

这项研究引入了一种用于评估动脉样硬化的新方法,使用改进的脉冲波分析和逻辑正常的功能匹配. 该方法准确地预测心血管健康状况,有助于患者的早期检测.

科学领域:

心血管生理学心血管生理学
生物医学工程生物医学工程
医学诊断医学诊断医学诊断

背景情况:

脉冲压波为人类生理学和心血管健康提供了洞察力.
早期发现和监测动脉样硬化对于患者管理至关重要.
评估心血管健康的现有方法需要更简单,更准确的临床工具.

研究的目的:

开发一种简单而准确的方法,用于在临床环境中评估动脉样硬化.
为了使动脉样硬化患者的健康状况能够进行方便和有效的早期监测.
改进传统的电子血压计,以进行增强的脉冲波分析.

主要方法:

一种动脉样硬化评估方法是通过将一个lognormal函数配合到脉冲压力波形来开发的.
使用了一种改进的脉冲分辨算法,结合波形匹配和值设置.
从101个病例中获得的脉冲数据经过了预处理,包括消除噪音,基线偏移纠正和正常化.

主要成果:

已解决的逻辑正常功能参数与手臂脚脉冲波速度 (0.17-0.53范围) 有显著的相关性.
这些参数可以作为评估动脉样硬化的有价值的参考指数.
一种基于支矢量机器的动脉样硬化评估模型实现了91.1%的预测准确度.

结论:

该研究提出了一种新的解决方案,用于评估动脉样硬化,使用先进的脉冲波分析.
开发的脉冲分辨算法为多模式脉冲波问题提供了显著的改进.
这种方法对于早期检测和治疗动脉样硬化有很大的参考价值.

关键词:

动脉样硬化动脉样硬化逻辑正常逻辑正常脉冲分辨率是指脉冲的分辨率脉冲波是一种脉冲波.支持矢量机器的支持矢量机器.

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