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基于Lognormal函数的脉搏波分解可行性研究

Feasibility Research of Pulse Wave Decomposition Based on Lognormal Function

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【作者】 王璐陈雪玮郝丽玲徐礼胜

【Author】 WANG Lu;CHEN Xue-wei;HAO Li-ling;XU Li-sheng;School of Computer Science & Engineering,Northeastern University;School of Medicine & Biological Information Engineering,Northeastern University;Neusoft Research of Intelligent Healthcare Technology,Co.,Ltd.;

【机构】 东北大学计算机科学与工程学院东北大学医学与生物信息工程学院沈阳东软智能医疗科技研究院有限公司

【摘要】 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(RMlog,RMtri)、反射指数(RIlog,RItri),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:RMlog=1. 009RMtri-0. 007,RIlog=1. 008RItri-0. 004; RMlog和RMtri显著相关(r=0. 999; P <0. 001),RIlog和RItri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.

【Abstract】 The feasibility of decomposing pulse wave was evaluated by constructing the blood flowwave 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 flowwave,and aortic pressure waveform is decomposed into forward and backward waves by means of the impedance analysis. The reflection parameters including reflection amplitude(RMlog,RMtri) and reflection index(RIlog,RItri) are then calculated.Meanwhile,these parameters are analyzed by the Bland-Altman method and the regression analysis. The estimation of RMand RI has high consistency for these two methods,and their regression equations are RMlog= 1. 009 RMtri-0. 007 and RIlog= 1. 008 RItri-0. 004,respectively.RMloghas significantly positive correlation with RMtri(r = 0. 999; P < 0. 001),and RIloghas significantly positive correlation with RItri(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.

【基金】 国家自然科学基金资助项目(61773110,61701099);辽宁省自然科学基金资助项目(20170540312);沈阳东软智能医疗科技研究院有限公司开放课题基金资助项目(NRIHTOP1801);中央高校基本科研业务费专项资金资助项目(N181604006)
  • 【文献出处】 东北大学学报(自然科学版) ,Journal of Northeastern University(Natural Science) , 编辑部邮箱 ,2019年12期
  • 【分类号】R443;O212.1
  • 【被引频次】3
  • 【下载频次】120
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