基于改进最小方差波束成形的心磁信号的源重建
Source reconstruction from magnetocardiography signals based on improved minimum variance beamforming
徐俊 1朱俊杰1
作者信息
- 1. 河南理工大学电气工程与自动化学院,河南焦作 454003;河南省煤矿装备智能检测与控制重点实验室,河南焦作 454003
- 折叠
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
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.
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Key words
magnetocardiogram/improved minimum variance beamforming/inverse problem/spatial filter/source reconstruction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据