A Quantitative Analysis Method of Unbalanced Physiological Organ Network Based on Symbol Transfer Entropy
A quantitative analysis and non-equilibrium technology, applied in the field of quantitative analysis of the imbalance of physiological organs, can solve problems such as complex system structure
Active Publication Date: 2020-07-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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However, for complex and changeable physiological systems, the system structure is complex and constantly evolving, and even each node itself may be a nonlinear system. Sometimes more targeted parameters are needed to describe the characteristics of the physiological network. How to measure the network Balance is an important research content in dynamic physiological network
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[0045] For the convenience of those skilled in the art to understand the technical contents of the present invention, below in conjunction with the attached Figure 1-4 The content of the present invention is further explained.
[0046] Such as figure 1 As shown, the non-balanced quantitative analysis method of physiological organ network based on symbolic transfer entropy of the present invention comprises the following steps:
[0047] S1. Suppose N physiological electrical signals D={d 1 , d 2 ,...,d N}, each group of signals is denoted as d n ={e(1),e(2),...,e(L)}
[0048] Among them, L is the length, and all physiological signals are arranged and symbolized.
[0049]It should be noted that, for the convenience of representation, this embodiment assumes that the signal lengths of all channels are uniform L in step S1, and the signal lengths of different channels may be different in practical applications, which does not affect the calculation of symbolization and tran...
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The invention discloses a quantitative analysis method of physiological organ network imbalance based on symbolic transfer entropy, which is applied to the field of physiological network construction and imbalance analysis, aiming at the lack of characterization of physiological organ network and quantitative analysis of the whole network in the prior art An effective method for unbalancedness, the present invention first uses symbolic transfer entropy to construct a directed weighted physiological organ information exchange network, and then uses the difference in the probability distribution of the inflow and outflow of organ network node information to quantify the unbalancedness of the physiological network, and the physiological organ signal The inflow and outflow of statistical information reflects the increase or decrease of the information volume of the organ, which can effectively characterize the balance characteristics of the organ. The difference in the information volume of the physiological organ network as a whole is an effective indicator to measure the imbalance of the dynamic physiological network.
Description
technical field [0001] The invention belongs to the field of physiological network construction and imbalance analysis, and in particular relates to a quantitative analysis technique for the imbalance of physiological organs. Background technique [0002] The current research on physiological systems has given a lot of energy and attention from the microscopic level of organs, tissues, cells and even molecules, but there are not many studies on the overall correlation between physiological systems. The human body is a complex of complex physiological systems at different levels, and the interaction of multiple organs realizes complex physiological functions. Therefore, analyzing the interaction between various organs from the perspective of the network can more fully demonstrate the characteristics of the integrity of the human body. [0003] With the help of graph theory and statistical physics, network science provides new perspectives and methods for studying the evolutio...
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IPC IPC(8): A61B5/04A61B5/0402A61B5/0476A61B5/0488A61B5/0492G06F17/16G16H50/50G16H50/70A61B5/296
CPCA61B5/7271G16H50/50G16H50/70G06F17/16A61B5/24A61B5/318A61B5/296A61B5/369A61B5/389
Inventor 姚文坡周康成怡波郭大庆尧德中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA