集成CAVI、ABI测量的家用动脉硬化监测仪系统研发

      Research and Development of Home Arteriosclerosis Monitor System Integrating CAVI and ABI Measurement

      • 摘要: 心血管疾病是全球死亡首要原因,动脉硬化作为其关键病理基础,早期筛查意义重大。现有临床和家用检测设备存在诸多不足,常用无创指标脉搏波传导速度(pulse wave velocity, PWV)易受血压干扰。本研究开发了一种家用动脉硬化监测系统,该系统集成了心踝血管指数(cardiomalleolar vascular index, CAVI)和踝臂指数(ankle-brachial index, ABI)的测量功能。系统硬件设计包括柔性银离子电极与夹型袖带一体化结构、接触式心音传感器、阶梯放气血压测量模块,并使用高精度模数转换模块和STM32F405主控芯片实现多种信号的同步采集。软件方面,通过MDK(keil5)设计底层驱动程序,并在Visual Studio平台上构建了用户界面,实现了数据采集、显示和存储等功能。算法层面,采用了Pan-Tompkins算法等识别关键生理信号特征点,计算CAVI和ABI。系统测试结果显示,该系统的心电输入噪声低于20 μV,共模抑制比为95 dB,血压测量误差不超过2 mmHg,符合设计目标。临床数据分析表明,CAVI与脉搏波传导速度(PWV)高度正相关(r=0.85,P<0.001),但CAVI受血压波动影响较小。此外,随着危险因素(如高血压、高血脂、冠心病等)的增加以及年龄的增长,动脉硬化的指标(CAVI、PWV、ABI)均呈现上升趋势。综上所述,本研究提出的家用动脉硬化监测系统,不仅克服了传统设备依赖专业操作和易受血压干扰的问题,而且能够为家庭场景下的动脉硬化筛查提供可靠工具,并对临床诊断具有重要参考价值。

         

        Abstract: Cardiovascular diseases are the leading cause of death worldwide. Arteriosclerosis, as its key pathological basis, early screening is of great significance. The existing clinical and home detection equipment has many deficiencies. The commonly used non-invasive index, pulse wave velocity (PWV), is vulnerable to interference from blood pressure. This study developed a home-use arteriosclerosis monitoring system, which integrates the measurement functions of cardiomalleolar vascular index (CAVI) and ankle-brachial index (ABI). The hardware design of the system includes an integrated structure of a flexible silver ion electrode and a clip-type cuff, a contact-type heart sound sensor, and a stepped air release blood pressure measurement module. Moreover, a high-precision analog-to-digital conversion module and the STM32F405 main control chip are used to achieve the synchronous acquisition of multiple signals. In terms of software, the underlying driver was designed through MDK (keil5), and the user interface was constructed on the Visual Studio platform, achieving functions such as data acquisition, display and storage. At the algorithmic level, algorithms such as the Pan-Tompkins algorithm were adopted to identify key physiological signal characteristic points and calculate CAVI and ABI. The system test results show that the electrocardiogram input noise of this system is lower than 20 μV, the common-mode rejection ratio is 95 dB, and the blood pressure measurement error does not exceed 2 mmHg, which is in line with the design goal. Clinical data analysis indicates that CAVI is highly positively correlated with pulse wave velocity (PWV) (r=0.85, P<0.001), but CAVI is less affected by blood pressure fluctuations. Furthermore, with the increase of risk factors (such as hypertension, hyperlipidemia, coronary heart disease, etc.) and the growth of age, the indicators of arteriosclerosis (CAVI, PWV, ABI) all show an upward trend. In conclusion, the home arteriosclerosis monitoring system proposed in this study not only overcomes the problems of traditional equipment relying on professional operation and being easily disturbed by blood pressure, but also provides a reliable tool for arteriosclerosis screening in home scenarios and has important reference value for clinical diagnosis.

         

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