Method for detecting heart surface transmural potential distribution

Abstract

The invention discloses a method for detecting a heart surface transmural potential distribution, which is combined with the transmural potential space sparseness and the L1 norm regularization method. According to human anatomy geometry information obtained by medical imaging equipment and the electrical conductivity characteristic of a torso volume conductor, a human heart to lung to torso surface model is established; a transfer matrix between a heart surface transmural potential and a body surface potential is established through a boundary element method and a heart surface element method; the heart surface transmural potential can be obtained by combining with the L1 norm regularization method of space differential operator V through the obtained body surface potential and transfer matrix. The L1 norm regularization method provided by the invention for detecting the heart surface transmural potential has the advantage of utilizing the actual distribution characteristic priori information of the transmural potential to effectively solve the problem of pathological characteristics in ECG inverse problems, obtain more accurate heart surface transmural potential distribution and correctly detect heart electrical activity information.

Description

technical field [0001] The invention relates to a detection method for cardiac electrical function imaging, in particular to a detection method for the distribution of transmural potential on the surface of the heart. Background technique [0002] The electrocardiographic inversion problem refers to inferring the electrophysiological activity in the heart from the distribution of body surface potential. The diagnosis of 12-lead electrocardiogram widely used in clinic is actually a specific form of electrocardiographic reversal problem, but it is a qualitative diagnosis based on the doctor's experience and knowledge, while the electrocardiographic reversal problem mentioned here refers to According to the distribution of body surface potential, the geometric anatomical information of the human body and the conductivity characteristics of the trunk volume conductor, the process of quantitatively inverting the electrical activity of the heart is carried out through mathematical...

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Problems solved by technology

[0003] The state of the heart can be inferred non-invasively from the body surface potential, but due to the temporal and spatial filtering effects of the trunk, the body surface potential is only a rough projection of cardiac electrical excitation events on the body surface, so it is impossible to accurately infer and explain the relevant cardiac electrophysiological state

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