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Source reconstruction from magnetocardiography signals based on improved minimum variance beamforming

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Author:
No author available
Journal Title:
Chinese Journal of Medical Physics
Issue:
7
DOI:
10.3969/j.issn.1005-202X.2024.07.013
Key Word:
心磁图;改进最小方差波束成形;逆问题;空间滤波器;源重建;magnetocardiogram;improved minimum variance beamforming;inverse problem;spatial filter;source reconstruction

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.

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