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Intermuscular coupling analysis method for R vine Copula mutual information

A technology of coupling analysis and mutual information, applied in the input/output of user/computer interaction, diagnostic signal processing, input/output process of data processing, etc. Distortion, single form of Gaussian Copula function, etc.

Pending Publication Date: 2020-12-25
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, a single Gaussian Copula function has a single form and can only describe symmetric correlation structures. The model fitting is prone to distortion and cannot accurately describe the functional coupling characteristics between all neural signals.

Method used

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  • Intermuscular coupling analysis method for R vine Copula mutual information
  • Intermuscular coupling analysis method for R vine Copula mutual information
  • Intermuscular coupling analysis method for R vine Copula mutual information

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Embodiment Construction

[0061] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and provides a detailed implementation plan and a specific operation process.

[0062] Intermuscular coupling originates from the corticospinal pathway, which can reflect the common drive from interneurons in the spinal cord, which is reflected in the interaction between muscles during exercise and the control ability of the central nerve to muscles. The study of intermuscular coupling characteristics is of great significance for the theoretical analysis of human motion, the evaluation of motor function rehabilitation after stroke, and the exploration of the motor control mechanism of the central nervous system. However, due to their different characteristics, different coupling analysis methods will reveal differences in the inter-muscular coupling relat...

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Abstract

The invention discloses an intermuscular coupling analysis method for R vine Copula mutual information. The method comprises the following steps of: synchronously acquiring and preprocessing multichannel surface electromyogram signals; estimating a marginal distribution function by using non-parametric kernel density; performing simple matrix representation and parameter estimation of the R vine Copula, and estimating R vine Copula mutual information and R vine Copula conditional mutual information at the same time; and finally, performing intermuscular coupling analysis. The RVCMI and the RVCCM I provided by the invention provide a new research method and a scientific theoretical basis for intermuscular coupling analysis, and have a good application prospect.

Description

technical field [0001] The invention belongs to the research field of the movement control mechanism of the nervous system, and relates to the calculation of R-Vine Copula, mutual information and conditional mutual information, so as to perform intermuscular coupling analysis. Background technique [0002] The neuromuscular system is highly complex, and previous research has shown that the primary motor cortex, located in the precentral gyrus, receives inputs from several brain regions that help plan movement, and its primary output stimulates neurons in the spinal cord, which stimulate skeletal muscle contraction. However, how the central nervous system (CNS) coordinates complex movements consisting of a large number of muscles and joints to achieve behavioral goals remains a fundamental question. For example, a smooth stretch may be the result of coordinated activity of the shoulder flexors, elbow extensors, and muscles that support the posture. [0003] Under the functio...

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Application Information

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IPC IPC(8): G06F3/01A61B5/00A61B5/0488
CPCG06F3/015A61B5/72G06F2203/011
Inventor 佘青山王洪安席旭刚高云园孔万增
Owner HANGZHOU DIANZI UNIV
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