基于Lognormal函数的脉搏波分解可行性研究

探讨利用Lognormal(对数正态)函数构建血流流量波进行脉搏波分解的可行性.研究对象为23名健康在校大学生，利用无创主动脉脉搏分析仪(AtCor Medical SphygmoCor)获取无创主动脉脉搏波形.分别利用Lognormal函数和三角波函数构建血流波形，采用阻抗分析技术将主动脉压力波形分解为前向波和反向波并计算反射幅度(RM_log，RM_tri)、反射指数(RI_log，RI_tri)，然后对参数进行Bland-Altman法分析和回归分析.两种方法计算的RM，RI一致性良好，其回归方程分别为:RM_log=1.009RM_tri-0.007，RI_log=1.008RI_tri-0.004；RM_log和RM_tri显著相关(r=0.999; P<0.001)，RI_log和RI_tri显著相关(r=0.999; P<0.001)，且从波形上分析，基于Lognormal函数的脉搏波分解较三角波更好.因此，基于Lognormal函数对主动脉压力波形分解是可行的，而且效果优于三角波函数分解的结果.

Feasibility Research of Pulse Wave Decomposition Based on Lognormal Function

The feasibility of decomposing pulse wave was evaluated by constructing the blood flow wave based on the Lognormal function. Twenty-three healthy subjects were studied and their noninvasive aortic pulse waves were acquired by using a noninvasive aortic pulse analyzer (AtCor Medical SphygmoCor). The Lognormal function and the triangle function are applied respectively for constructing the blood flow wave， and aortic pressure waveform is decomposed into forward and backward waves by means of the impedance analysis. The reflection parameters including reflection amplitude (RM_log， RM_tri) and reflection index (RI_log， RI_tri) are then calculated. Meanwhile， these parameters are analyzed by the Bland-Altman method and the regression analysis. The estimation of RM and RI has high consistency for these two methods， and their regression equations are RM_log=1.009RM_tri-0.007 and RI_log=1.008RI_tri-0.004， respectively. RM_log has significantly positive correlation with RM_tri (r=0.999; P<0.001)， and RI_log has significantly positive correlation with RI_tri (r=0.999; P<0.001). Therefore， it is feasible to decompose the aortic pressure waveform based on the Lognormal function and the performance is better than that of the triangle function.