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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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

Received: 15 January 2019

PACS:

R318

Corresponding Authors: ^*E-mail: whjyuanzhang@yahoo.com.cn

About author:: ^#Member,Chinese Society of Biomedical Engineering

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	Ai Haiming
	Primin Mykhailo
	Mi Wang
	Wu Hongjin

Cite this article:

Ai Haiming,Primin Mykhailo,Mi Wang, et al. Analysis Method of Current Density Based on Magnetocardiosignal[J]. Chinese Journal of Biomedical Engineering, 2020, 39(2): 170-179.

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

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