基于临床数据与循环系统模型融合技术的

doi:10.3969/j.issn.0258-8021. 2016. 01.006

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摘要识别影响患者个体化心血管功能评估（基于临床数据与循环系统模型的融合技术）精度的关键因子，并量化分析各因子的影响程度，为评估方法的临床应用提供理论支持。通过参数敏感度分析并结合子集选择方法，识别与血流动力学计算和主要模型参数（与心血管功能的评估目标对应）评估相关的次主要模型参数。利用虚拟临床数据开展数值实验，分析临床数据测量误差（误差区间5%）和次主要参数变动（变动率30%）对主要模型参数评估结果的影响。临床数据的测量误差引起评估结果的显著变化（最大变化率达到16.6%），相对地，次主要参数变动造成的评估误差较小（在10%以内）。临床数据的精确采集是确保评估结果可靠的关键环节；次主要参数虽然在患者间存在实际的个体差异性，但对其进行固定处理对评估结果的影响较小。

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	李逸¹殷兆芳² 梁夫友^1#*

关键词 ：心血管功能评估, 循环系统模型, 敏感度分析, 子集选择, 误差分析

Abstract：The purpose of this study is to identify the key factors that affect the accuracy of patient-specific assessment of cardiovascular function (by means of integration of clinical data and cardiovascular model) and quantify their effects so as to provide theoretical evidence for guiding the clinical application of the assessment method. Parameter sensitivity analysis was performed in combination with parameter subset selection to identify the secondary main parameters that are related closely to the modelbased prediction of hemodynamic variables and the assessment of the main parameters (corresponding to the assessed cardiovascular function). Numerical experiments were carried out based on a series of virtual clinical data to quantify the changes in assessment results induced by measurement errors (in a range of 5%) of clinical data and variations in the secondary main parameters (rate of change being 30%). Measurement errors of clinical data were found to induce pronounced changes in assessment results (up to 16.6%), relatively, variations in the secondary main parameters had less influence on the assessment (rates of changes being within 10%). Accurate clinical data measurement is a key step to guaranteeing the reliability of cardiovascular function assessment. The secondary main parameters only have limited influence on the assessment although they may vary significantly among patients.

Key words： Assessment of cardiovascular function cardiovascular model sensitivity analysis subset selection error analysis

基金资助: 国家自然科学基金项目（81370438）；上海交通大学医工交叉研究基金项目（YG2012MS24）

引用本文:

李逸¹殷兆芳² 梁夫友^1#*. 基于临床数据与循环系统模型融合技术的[J]. 中国生物医学工程学报, 2016, 35(1): 47-54.
Li Yi¹Yin Zhaofang² Liang Fuyou^1#*. Error Analysis on the Assessment of Cardiovascular Function Based on Integration of Clinical Data and Cardiovascular Model. journal1, 2016, 35(1): 47-54.

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http://cjbme.csbme.org/CN/10.3969/j.issn.0258-8021. 2016. 01.006 或 http://cjbme.csbme.org/CN/Y2016/V35/I1/47

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