Non-invasive cardiac potential reconstruction method based on low-rank and sparse constraints and non-local total variation

Abstract

The invention discloses a non-invasive cardiac potential reconstruction method based on low-rank and sparse constraints and non-local total variation. Based on low-rank sparse decomposition and non-local total variation constraints, the endocardial and epicardial extracellular potentials are reconstructed. Based on the sparse nature of the cardiac surface potential, the sparse and low-rank constraints are applied to the potential, at the same time, the low-rank part of the potential is observed, many similarities in space and time can be seen, so that the non-local total variation constraint is applied to the low-rank part for restricting the non-local similarity of the heat surface potential, and finally the potential distribution of the endocardium and epicardium on the cardiac surface is reconstructed. The method has very important significance for arrhythmia diagnoses such as the determination of the ventricular premature beat position and time, and the determination of the myocardial position location and boundary.

Description

technical field [0001] The invention belongs to the technical field of cardiac potential reconstruction, and in particular relates to a non-invasive cardiac potential reconstruction method based on low-rank and sparse constraints and non-local total variation. Background technique [0002] According to the "China Cardiovascular Disease Report 2018", the current number of cardiovascular disease patients in my country is 290 million, and the mortality rate ranks first among diseases. Arrhythmia, as one of the most common diseases of cardiovascular disease, has been paid more and more attention by doctors and people. Although most short-term arrhythmias will not pose a threat to human life, long-term arrhythmias may cause serious Heart disease, so the diagnosis and localization of cardiac arrhythmias are becoming more and more important. [0003] The occurrence of arrhythmia is closely related to the electrical conduction of the myocardium. The interaction between the electric...

AI Technical Summary

Problems solved by technology

In addition, calculation methods such as truncated singular value, L1 norm and total variation are also applied to the solution of the ECG inverse problem, but the above methods are based on a single prior condition (such as the smoothness of the transmembrane potential) to solve the problem. Constraints, and only use the spatial distribution characteristics of single-frame potential signals, but the diseased heart has more complex spatio-temporal distribution characteristics, and the single spatial smoothness constraint has certain limitations

Images