基于心磁信号的电流密度分析方法研究

doi:10.3969/j.issn.0258-8021.2020.02.06

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摘要电流密度向量分析是心磁图仪临床应用中的关键诊断技术,其重构与分类效果将直接影响心脏疾病筛查的准确度。研究一种电流密度分析方法,包括电流密度重构逆向算法,并提出一种电流密度自动分类新算法。将该电流密度分析方法应用于27例健康志愿者和75例心肌缺血患者的临床验证:首先,使用四通道心磁图仪SQUID传感器采集36个测量点位心磁信号源数据,采用标准Ⅱ导联心电数据同步化心磁信号源数据;其次,应用基于傅里叶变换的逆向求解算法,重构每例受试者电流密度分布,自动计算3项电流密度分类参数CDI、IPCD、E_RT,并通过多元线性回归模型确定自动分类算法中健康组和心肌缺血组的线性判别函数;最后,借助基于KL熵值计算和线性判别函数的自动分类新算法,对重构后的电流密度进行自动分类。结果表明:健康组与心肌缺血组间3项分类参数CDI、IPCD、E_RT显著性差异分别为2.0×10^-11、2.7×10^-5和3.0×10^-4;CDI、IPCD、E_RT诊断心肌缺血的敏感性分别为73%、81%和60%,特异性分别为100%、65%和73%;自动分类结果的敏感性、真阳性率、特异性、假阳性率和真阴性率分别为89.33%、100%、100%、0%和76.47%。实验说明,所述电流密度分析方法可靠、准确度高,可用于临床心肌缺血诊断。

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	艾海明
	Primin Mykhailo
	米旺
	吴红金

关键词 ：心磁图仪, 心磁信号, 傅里叶变换, 电流密度, 心肌缺血

Abstract：The analysis of current density vector as diagnostic tool is a critical technique in clinical application of magnetocardiography, its reconstruction and classification performance will directly determine the accuracy of cardiac disease screening. A current density analysis method was studied in this paper, which includes inverse problem solutionfor current density reconstruction and new proposed algorithm of automatic classification. The current density analysis method was used to clinically validate 27 healthy volunteers and 75 patients with myocardial ischemia. First, the SQUID sensor of four-channel magnetocardiography was used to acquire magnetocardiosignal in 36 measurement sites, ECG signal base on standard lead ⅡECG was applied to synchronize magnetocardiosignal. Second, inverse problem solution algorithm based on Fourier transformation was applied to reconstruct current density distribution for each subject, automatic classification parameters of CDI, IPCD, E_RT were automatically calculated, the linear discriminant function of healthy group and myocardial ischemia group in automatic classification algorithm was determined by multiple linear regression model. Finally, automatic classification of reconstructed current density was performed by the new automatic classification algorithm based on KL entropy calculation and liner discriminant function. Results showed that significant difference of three classification parameters of CDI, IPCD, E_RT between healthy group and myocardial ischemia group was 2.0×10^-11, 2.7×10^-5and 3.0×10^-4, respectively; sensitivity and specificity in myocardial ischemia diagnosis for CDI, IPCD, E_RT was 73%, 81%, 60% and 100%, 65%, 73%, respectively; sensitivity, true positive rate, specificity, false positive rate and true negative rate of automatic classification results was 89.33%, 100%, 100%, 0% and 76.47%, respectively. Therefore, the proposed current density analysis method is reliable, accurate and available for clinical diagnosis of myocardial ischemia.

Key words： magnetocardiography magnetocardiosignal Fourier transform current density myocardial ischemia

收稿日期: 2019-01-15

PACS:

R318

基金资助:国家高技术研究发展计划(863计划)(2007AA03Z238);国际科技合作项目(2008DFR30570);北京市教委科技项目(KM201951160001)

通讯作者: ^*E-mail: whjyuanzhang@yahoo.com.cn

作者简介: ^#中国生物医学工程学会会员

引用本文:

艾海明, Primin Mykhailo, 米旺, 吴红金. 基于心磁信号的电流密度分析方法研究[J]. 中国生物医学工程学报, 2020, 39(2): 170-179.
Ai Haiming, Primin Mykhailo, Mi Wang, Wu Hongjin. Analysis Method of Current Density Based on Magnetocardiosignal. Chinese Journal of Biomedical Engineering, 2020, 39(2): 170-179.

链接本文:

http://cjbme.csbme.org/CN/10.3969/j.issn.0258-8021.2020.02.06 或 http://cjbme.csbme.org/CN/Y2020/V39/I2/170

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