Heart rate imbalance analysis method based on equivalent permutation network
An analysis method and unbalanced technology, applied in the measurement of pulse rate/heart rate, diagnostic signal processing, etc., can solve quantitative analysis, difficult problems, etc.
Active Publication Date: 2020-04-10
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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The key to the quantification of heart rate network imbalance is how to use the difference between any single node and the network as a whole to measure its imbalance characteristics. Therefore, the extraction and analysis of the nonlinear characteristics of the heart rate network can play an important role. However, the current There are still great difficulties in how to quantify the network imbalance of heart rate
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[0031] 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 1-2 The content of the present invention is further explained.
[0032] S1. Given a heart rate time series X(t) of length L={x(1),x(2),...,x(L)}, perform phase space reconstruction of the heart rate series y(t) into a multi-dimensional vector Among them, m is the vector dimension, τ is the time delay, there are L-(m-1)τ vectors in total, multi-dimensional vector The expression is:
[0033]
[0034] S2. Map the multidimensional vector of the heart rate sequence to the equivalent arrangement type, and obtain the equivalent arrangement sequence π(n)={π(1),π(2),...,π(L-(m-1)τ)} , and define the permutation type as the nodes of the permutation network. Step S2 specifically includes the following sub-steps:
[0035] S21, the multidimensional vector The elements in are sorted in ascending order, x(j 1 )≤x(j 2...
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The invention discloses a heart rate imbalance analysis method based on an equivalent permutation network, which is applied to the field of physiological signal processing, and aims to solve the problem that a reasonable and effective directed weighted network is difficult to construct by utilizing dynamic characteristics in heart rates in the prior art. The equivalent permutation type adopted bythe network node is directly mapped from the structural relation in the multi-dimensional vector, the dynamic characteristics in heart rate signals are effectively represented, meanwhile, the heart regulation information contained in the equivalent state in the heart rate is considered, and an equivalent permutation method instead of an original permutation method is adopted; the connection condition between the permutation nodes is effectively quantified through the relation between the adjacent permutation types, and an incidence matrix between the permutation nodes is constructed accordingly, so that directivity and weights between the nodes can be effectively distinguished. The heart rate network constructed by the method can effectively identify heart rate signals in different physiological states.
Description
technical field [0001] The invention belongs to the field of physiological signal processing, in particular to a non-equilibrium quantitative analysis technology of a physiological network based on equivalence arrangement. Background technique [0002] Imbalance is one of the hallmarks of complex heart rate regulation systems and can often be analyzed using time irreversibility. For the heart rate time series, time irreversibility can be quantitatively analyzed by the joint probability difference of positive and negative sequences or sequence symmetric vectors. However, there are not many studies on the imbalance characteristics in the complex network relationship of heart rate. [0003] Network analysis has received extensive attention at present, and network methods are helpful to explore and study the network relationship between current complex phenomena. The premise of network analysis is to determine network nodes and node connections, but it is not easy for one-dimen...
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IPC IPC(8): A61B5/024
CPCA61B5/024A61B5/72
Inventor 姚文坡李俊俊徐达军成怡波李杰奇王俊尧德中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA