He Dianning, Wang Lu, Fan Xiaobing, Yao Yang, Geng Ning, Sun Yingxian, Xu Lisheng, Qian Wei
Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning 110819, China ; Department of Radiology, The University of Chicago, Chicago, IL 60637, USA.
School of Computer Science and Engineering, Northeastern University, Shenyang, China.
Med Eng Phys. 2017 Oct;48:142-149. doi: 10.1016/j.medengphy.2017.06.022. Epub 2017 Jul 6.
The purpose of this study was to analyze and compare a series of measured radial pulse waves as a function of contact pressure for young and old healthy volunteers, and old patients with cardiovascular disease. The radial pulse waves were detected with a pressure sensor and the contact pressure of the sensor was incremented by 20gf during the signal acquisition. A mathematical model of radial pulse waveform was developed by using two Gaussian functions modulated by radical functions and used to fit the pulse waveforms. Then, a ratio of area (r) and a ratio of peak height (r) between percussion wave and dicrotic wave as a function of contact pressure were calculated based on fitted parameters. The results demonstrated that there was a maximum for waveform peak height, a minimum for r (r) and a minimum for r (r) appeared as contact pressure varied. On average, older patients had higher peak amplitude and a significantly smaller r (p<0.001) and r (p<0.02) than the young and old volunteers. The r and r calculated with the mathematical model had moderate to strong positive linear correlations (r=0.66 to 0.84, p<0.006) with those directly calculated without the model. The receiver operating characteristic (ROC) analysis showed that the r calculated with the model and the contact pressure measured at the r had good diagnostic accuracy to distinguish healthy volunteers vs. diseased patients. Therefore, using the mathematical model to quantitatively analyze the radial pulse waveforms as a function of contact pressure could be useful in the diagnosis of cardiovascular diseases.
本研究的目的是分析和比较一系列针对年轻和老年健康志愿者以及老年心血管疾病患者所测量的桡动脉脉搏波，这些脉搏波是作为接触压力的函数。使用压力传感器检测桡动脉脉搏波，在信号采集过程中，传感器的接触压力以20gf的幅度递增。通过使用由根式函数调制的两个高斯函数建立了桡动脉脉搏波形的数学模型，并用于拟合脉搏波形。然后，基于拟合参数计算出作为接触压力函数的叩击波与重搏波之间的面积比（r）和峰值高度比（r）。结果表明，随着接触压力的变化，波形峰值高度存在最大值，r（r）存在最小值，r（r）也存在最小值。平均而言，老年患者的峰值幅度更高，r（p<0.001）和r（p<0.02）明显小于年轻和老年志愿者。用数学模型计算的r和r与直接不使用模型计算的r和r具有中度到强的正线性相关性（r=0.66至0.84，p<0.006）。受试者工作特征（ROC）分析表明，用模型计算的r以及在r处测量的接触压力在区分健康志愿者与患病患者方面具有良好的诊断准确性。因此，使用数学模型定量分析作为接触压力函数的桡动脉脉搏波形可能有助于心血管疾病的诊断。
