Intermuscular coupling analysis method for R vine Copula mutual information

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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