首页 | 本学科首页   官方微博 | 高级检索  
     

脉搏波波速法无创血压测量中多模量血压计算模型研究
引用本文:顾亚雄 杨涛 包科 钟鑫鑫. 脉搏波波速法无创血压测量中多模量血压计算模型研究[J]. 中国生物医学工程学报, 2016, 35(6): 691-698. DOI: 10.3969/j.issn.0258-8021.2016.06.008
作者姓名:顾亚雄 杨涛 包科 钟鑫鑫
作者单位:1西南石油大学机电工程学院,成都 6105002重庆市肿瘤医院手术室,重庆 400030
基金项目:西南石油大学研究生创新基金(CXJJ2015022)
摘    要:针对脉搏波波速法无创血压测量中血压计算模型建模困难和模型计算精度较低的问题,结合TPTT、ln(TPTT)及(1/TPTT)2等模量建立多模量血压计算模型。首先,利用99名随机测试者的实验数据确定多模量模型参数,并基于实验数据计算各模型性能评价指标,其中多模量血压计算模型拟合相关系数最大,为0.891,误差方差最小,仅为6.1,实验表明,多模量血压计算模型具有更好的拟合效果和更低的计算误差。然后,利用医用水银血压计和自主设计的多模量血压测量系统两种方法采集另外36名随机测试者的收缩压和舒张压数据,并计算两种方法采集数据间的相关参数,其中收缩压差值的绝对值d<6 mmHg,差值均值Ed=0.55 mmHg,差值的标准差δd=2.98 mmHg;舒张压差值的绝对值d<6 mmHg,差值均值Ed=0.57 mmHg,差值的标准差δd=3.42 mmHg,完全符合美国医疗仪器促进协会SP10-199中对电子血压计测量差值<8 mmHg的要求。最后,采用Bland-Altman差值法,对两种方法测量数据一致性进行检验,发现舒张压与收缩压的95 %一致性界限分别为(-5.3,6.4)和(7.2,-6.2),完全在临床血压测量可接受范围之内,较好地证明多模量血压计算模型用于无创血压测量的有效性。研究结果表明,多模量血压计算模型可以应用于脉搏波波速法无创血压测量。

关 键 词:脉搏波波速法  无创血压测量  多模量血压计算模型  非线性回归  一致性检验  
收稿时间:2015-12-10

Study on Multi-Mode Calculation Model in Non-Invasive Blood Pressure Measurement by Pulse Wave Velocity Method
Gu Yaxiong Yang Tao Bao Ke Zhong Xinxin. Study on Multi-Mode Calculation Model in Non-Invasive Blood Pressure Measurement by Pulse Wave Velocity Method[J]. Chinese Journal of Biomedical Engineering, 2016, 35(6): 691-698. DOI: 10.3969/j.issn.0258-8021.2016.06.008
Authors:Gu Yaxiong Yang Tao Bao Ke Zhong Xinxin
Affiliation:School of Mechatronic Engineering,Southwest Petroleum University, Chengdu 610500, China Operation Room,Chongqing Cancer Hospital,Chongqing 400030,China
Abstract:Aiming to solve the problem of modeling difficulties and low calculating accuracy in the process of blood pressure measurement by pulse wave velocity method, a new multi modulus model of blood pressure calculation was built up with combination of multiple modulus TPTT, ln(TPTT) and (1/TPTT)2. Firstly, the parameters for the model were determined based on experimental data drawn from measurement carried out to 99 random voluntary subjects while performance evaluation indexes of each model were calculated simultaneously. It was found that the fitting correlation coefficient of the modulus model, equal to 0.891, was larger than that of any other model with the least error variance of the modulus model, equal to 6.1, smaller than that of any other model, which showed that the multi modulus model possessed better fitting effect and lower calculation error compared with single modulus models. Then, another 36 subjects' SBP and DBP data were collected by using mercury blood meter and the self-designed multi modulus blood pressure system separately, and the relevant parameters between the two methods were calculated. For SBP, d<6 mmHg, Ed=0.55 mm Hg and δd=2.98 mmHg, while for DBP, d<6 mmHg, Ed=0.57 mmHg and δd=3.42 mmHg, which could meet the requirements included in AAMI SP10|199. At last, the Bland-Altman difference method was applied to test the consistency of data between the two methods. A conclusion was drawn that 95% consistency limits of DBP and SBP were (-5.3, 6.4) and(7.2, -6.2) respectively, which satisfied the clinical demand and provided an evidence to the effectiveness of application of multi modulus model of blood pressure calculation in noninvasive blood pressure measurement. The research result proves that it is possible for multi modulus model of blood pressure calculation to be applied to noninvasive blood pressure measurement by pulse wave velocity method.
Keywords:pulse wave velocity   non-invasive blood pressure measurement   multi-mode model   nonlinear regression   consistency verification  
本文献已被 CNKI 等数据库收录!
点击此处可从《中国生物医学工程学报》浏览原始摘要信息
点击此处可从《中国生物医学工程学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号