Non-invasive cardiac electrophysiological inversion method based on graph total variation constraint

Abstract

The present invention discloses a non-invasive cardiac electrophysiological inversion method based on graph total variation constraint. Non-invasive cardiac electrophysiological inversion is conductedbased on the graph total variation constraint, establishment of graph structure considers similarity between spatial non-adjacent nodes, low-level features of myocardial transmembrane potential sequence distribution are fully utilized, at the same time, temporal correlation of electrical excitation propagation is considered, and the high-precision myocardial transmembrane potential sequence distribution is provided. A temporal and spatial distribution of myocardial transmembrane potential is finally obtained accurately observe locations and boundaries of infarct regions during myocardial infarction, pacemaker points at occurrence of ectopic pacing, and other areas with abnormal electrical activities, which has important reference significance in clinical diagnosis and therapy. The non-invasive cardiac electrophysiological inversion method can directly reconstruct and activate the entire sequence at the same time, rather than solving single time points.

Description

technical field [0001] The invention belongs to the technical field of cardiac electrophysiological inversion, and in particular relates to a non-invasive cardiac electrophysiological inversion method based on graph total variation constraints. Background technique [0002] Arrhythmia is one of the most serious diseases that threaten human health. It can occur in the scar area after myocardial infarction, or it can develop on its own. There is heterogeneity in the infarct marginal zone, and a reentry circuit is formed between some surviving cells and ischemic cells, which can easily cause ectopic pacing and arrhythmia. After the infarction heals, the fibrotic cells forming a slow conduction area will also affect the normal excitation transmission of the ventricle, and the marginal area may continue to spread and affect normal myocardial cells until heart failure occurs. Therefore, accurately locating the location and size of the infarct, delineating its marginal zone, and l...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the inversion problem of cardiac electrophysiology, the present invention provides a non-invasive cardiac electrophysiological inversion method based on graph total variation constraints, which constructs a graph structure based on the correlation of transmembrane potential sequence distribution on cardiac nodes, and enhances the same Similarity between state heart nodes, distinguishing nodes of different states

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