Network modeling method of cardiac mapping signals

A cardiac mapping and network modeling technology, applied in the field of network modeling of cardiac mapping signals, can solve problems such as not considering the spatial characteristics of information transmission

Inactive Publication Date: 2012-08-08
FUDAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing studies are generally time-frequency domain analysis of a single site, without considering the spatial characteristics of the information transmission of each mapping site

Method used

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  • Network modeling method of cardiac mapping signals
  • Network modeling method of cardiac mapping signals
  • Network modeling method of cardiac mapping signals

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Experimental program
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Embodiment 1

[0041] Embodiment 1: as figure 1 , 2 , 3, the network modeling method of the heart mapping signal proposed by the present invention is as follows: first, utilize the heart mapping technology to collect the electrocardiogram signal for each site of interest, such as figure 1 The ECG signal 1 detected by a point of interest in the heart and the ECG signal 2 detected by another point of interest in the heart shown in . Treat each site of interest as a node in the network, such as figure 2 The part of interest indicated by label 1 in the network model corresponds to node 3 and the site of interest indicated by label 2 corresponds to node 4 in the network model, which respectively represent two nodes in the network. Then calculate the cross-correlation coefficient of the ECG signals of any two nodes in the network to determine whether there is an edge between the two nodes. If the cross-correlation coefficient is greater than 0.7, connect an undirected and unweighted edge betwee...

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Abstract

The invention relates to a network modeling method of cardiac mapping signals. Specific steps include obtaining electrocardiograph (ECG) signals through a cardiac mapping technology, and taking each interested sit of the cardiac mapping signals as a network nod; calculating signal cross correlation coefficients among the nods, and determining whether connecting sides exist among the nods; calculating the number of connecting sides between each nod and other nods, and recording the number as a degree of the nod, and reflecting the nod degree by the nod area, when the degree is large, the area is large; and collecting a segment of ECG signals at intervals, and building a network model in the time interval, and observing topological structure and relevant parameter (such as the number of the network connecting sides, degrees of nods and the like) changes of the network models in the adjacent time intervals to study the network evolvement rule. The network modeling method can be used in studying spatial characteristics of information transfer among cardiac electrical activities of different parts of the heart.

Description

technical field [0001] The invention relates to a network modeling method of cardiac mapping signals. Background technique [0002] Cardiac mapping technology can conduct a comprehensive and detailed observation of the electrical activity of the heart, and is an important means to study the electrophysiological mechanism of complex arrhythmias. At present, the methods for studying cardiac mapping signals are limited, and both time-domain and frequency-domain analysis have certain limitations, which hinders the research on the electrophysiological mechanism of complex arrhythmias. Take atrial fibrillation as an example: in the time domain, complex and variable signals bring difficulties to the identification of ectopic excitatory foci; in the frequency domain, the relationship between signal frequency and arrhythmia maintenance mechanism remains to be explored. The atrial electrical activity in atrial fibrillation was considered to be completely random in the past. Recent st...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨翠微孙莉倩
Owner FUDAN UNIV
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