[1]徐俊,朱俊杰.基于改进最小方差波束成形的心磁信号的源重建[J].中国医学物理学杂志,2024,41(7):870-875.[doi:DOI:10.3969/j.issn.1005-202X.2024.07.013]
　XU Jun,ZHU Junjie,et al.Source reconstruction from magnetocardiography signals based on improved minimum variance beamforming[J].Chinese Journal of Medical Physics,2024,41(7):870-875.[doi:DOI:10.3969/j.issn.1005-202X.2024.07.013]
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基于改进最小方差波束成形的心磁信号的源重建()

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
41卷
期数:
2024年第7期
页码:
870-875
栏目:
医学信号处理与医学仪器
出版日期:
2024-07-25

文章信息/Info

Title:
Source reconstruction from magnetocardiography signals based on improved minimum variance beamforming
文章编号:
1005-202X（2024）07-0870-06
作者:
徐俊1; 2; 朱俊杰1; 2
1.河南理工大学电气工程与自动化学院， 河南 焦作454003； 2.河南省煤矿装备智能检测与控制重点实验室， 河南 焦作454003
Author(s):
XU Jun1;  2;  ZHU Junjie1;  2
1. School of Electrical Engineering and Automation, Henan Polytechnic University, Jiaozuo 454003, China 2. Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment, Jiaozuo 454003, China
关键词:
心磁图; 改进最小方差波束成形; 逆问题; 空间滤波器; 源重建
Keywords:
Keywords: magnetocardiogram improved minimum variance beamforming inverse problem spatial filter source reconstruction
分类号:
R318；TN911.7
DOI:
DOI:10.3969/j.issn.1005-202X.2024.07.013
文献标志码:
A
摘要:
由于冠心病患者的心磁图在信噪比较低时，最小方差波束成形（MV）方法的源重建效果不理想，提出一种基于改进最小方差波束成形（IMV）方法，在MV方法的基础上，使用导联矩阵和磁场信号二阶特征矩阵组成约束矩阵，构造新的空间滤波器的权矩阵，从而降低输出噪声功率增益。利用点扩散函数理论比较IMV方法和MV方法的空间谱估计的单源分辨率；利用3个电流偶极子产生36通道磁场仿真数据，采用IMV方法和MV方法在低信噪比下对仿真数据进行源重建；最后对3名冠心病患者的36通道心磁图的R波峰和T波峰时刻数据进行源重建。结果表明，IMV方法的单源分辨率更高，对仿真数据及冠心病患者心磁数据的重建精度更好。
Abstract:
Abstract: Given the poor source reconstruction results of minimum variance beamforming (MV) for magnetocardiogram (MCG) at low signal-to-noise ratio in coronary heart disease patients, a novel method using the improved minimum variance beamforming (IMV) is proposed. Based on MV, the proposed method uses the lead matrix and the magnetic field signal second-order characteristic matrix to form a constraint matrix, and constructs the weight matrix of a new spatial filter, thus reducing the output noise power gain. The single-source resolution of IMV and MV spatial spectrum estimations is compared using the point spread function. IMV and MV are used to perform source reconstruction from the 36-channel magnetic field simulation data generated by 3 current dipoles at low signal-to-noise ratio and the source reconstruction is also carried out on the R-wave peak and T-wave peak time data of 36-channel MCG of 3 coronary heart disease patients. The results show that IMV has higher single-source resolution and reconstruction accuracy for simulation data and MCG data from coronary heart disease patients.

相似文献/References:

[1]李浩然,朱俊杰.基于信号子空间主特征向量的心磁源重构[J].中国医学物理学杂志,2022,39(10):1280.[doi:DOI:10.3969/j.issn.1005-202X.2022.10.017]
　LI Haoran,ZHU Junjie.Magnetocardiogram source reconstruction based on principal eigenvector of signal subspace[J].Chinese Journal of Medical Physics,2022,39(7):1280.[doi:DOI:10.3969/j.issn.1005-202X.2022.10.017]
[2]薛栋超,朱俊杰.针对心磁信号的HISSA优化多模态协同降噪算法[J].中国医学物理学杂志,2025,42(9):1201.[doi:DOI:10.3969/j.issn.1005-202X.2025.09.012]
　XUE Dongchao,ZHU Junjie,et al.HISSA-optimized multi-level cooperative denoising algorithm for magnetocardiogram signals[J].Chinese Journal of Medical Physics,2025,42(7):1201.[doi:DOI:10.3969/j.issn.1005-202X.2025.09.012]

备注/Memo

备注/Memo:
【收稿日期】2024-02-06 【基金项目】国家自然科学基金（61601173） 【作者简介】徐俊，硕士研究生，研究方向：信号与信息处理，E-mail: xujunyc@163.com 【通信作者】朱俊杰，博士，讲师，研究方向：生物医学信号处理，E-mail: junjiezhu@hpu.edu.cn
更新日期/Last Update: 2024-07-13