A Fast Greedy Sparse Method of Current Sources Reconstruction for Ventricular Torsion Detection

4th International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Bing, Lu^1 ; Jiang, Shiqin^1 ; Chen, Mengpei^1 ; Zhao, Chen^1 ; Grönemeyer, D.^2 ; Hailer, B.^3 ; Van Leeuwen, P.^2

Department of Control Science and Engineering, School of Electronics and Information Engineering, Tongji University, Shanghai

201804, China^1

Departments of Biomagnetism, Grönemeyer Institute for Microtherapy, Faculty of Health, University Witten/Herdecke, Bochum

D-44799, Germany^2

Department of Internal Medicine, Philippusstift, University Witten/Herdecke, Essen, Germany^3

关键词: Clinical detection;    Distributed sources;    Equivalent currents;    Left ventricles;    Left ventricular torsion;    Magnetocardiograms;    Non-invasive detection;    Torsion detection;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/633/1/012138/pdf
DOI  :  10.1088/1742-6596/633/1/012138

来源: IOP

【 摘 要 】

A fast greedy sparse (FGS) method of cardiac equivalent current sources reconstruction is developed for non-invasive detection and quantitative analysis of individual left ventricular torsion. The cardiac magnetic field inverse problem is solved based on a distributed source model. The analysis of real 61-channel magnetocardiogram (MCG) data demonstrates that one or two dominant current source with larger strength can be identified efficiently by the FGS algorithm. Then, the left ventricle torsion during systole is examined on the basis of x, y and z coordination curves and angle change of reconstructed dominant current sources. The advantages of this method are non-invasive, visible, with higher sensitivity and resolution. It may enable the clinical detection of cardiac systolic and ejection dysfunction.