Inter-muscular coupling analysis method based on time-varying Copula mutual information

A coupled analysis and mutual information technology, applied in informatics, medical informatics, complex mathematical operations, etc., can solve problems such as the dynamic changes of related structures that cannot be reflected

Pending Publication Date: 2021-03-16
HANGZHOU DIANZI UNIV
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Problems solved by technology

Most of the research at this stage is based on constant correlation Copula functions with static parameters. This static Copula function is considered to be unable to reflect the dynamic changes of the correlation structure and has certain limitations.

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  • Inter-muscular coupling analysis method based on time-varying Copula mutual information
  • Inter-muscular coupling analysis method based on time-varying Copula mutual information
  • Inter-muscular coupling analysis method based on time-varying Copula mutual information

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Embodiment Construction

[0060] 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.

[0061] Intermuscular coupling refers to the interaction between muscles during exercise, which to a certain extent reflects the control and domination of related muscles by the central nervous system of exercise. Intermuscular coupling strength is reflected in the degree of activation and coordination of muscles, which can be used as a physiological index for the evaluation of motor function rehabilitation. Studying the intermuscular coupling characteristics during exercise is of great significance for understanding the neuromotor control strategy and the mechanism of motor dysfunction. However, the existing methods for analyzing muscle-to-muscle coupling have many deficienci...

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Abstract

The invention provides a time-varying Copula mutual information estimation method by combining a time-varying Copula function with an entropy theory in order to solve the problem that an existing inter-muscular coupling analysis method cannot accurately describe inter-muscular linear and nonlinear coupling strength, and the time-varying Copula mutual information estimation method is applied to wrist flexion and wrist abduction movement processes. Coupling analysis is carried out on 2-channel surface electromyography (sEMG) signals recorded by biceps brachii and triceps brachii in characteristic frequency bands such as theta, alpha and beta. Compared with a static Copula function, the fitting goodness of the time-varying Copula function to the inter-muscular dependent structure is higher, and the inter-muscular coupling strength described by the time-varying Copula mutual information has a significant frequency band difference (p<0.01). The time-varying Copula mutual information provided by the invention provides an advanced theoretical guidance method for inter-muscular coupling analysis, and has a very wide application prospect.

Description

technical field [0001] The invention belongs to the technical field of nervous system motion control, and relates to time-varying Copula modeling and calculation of mutual information, so as to perform functional coupling analysis between muscles. Background technique [0002] In the process of human voluntary movement, the motor cortex of the brain sends out movement instructions in the form of neuron oscillation and synchronous discharge, and transmits them to the spinal cord through the descending nerve channel, and realizes the optimization of complex movement tasks by recruiting a specific group of muscle synergy modules. control. Electroencephalography (EEG) signals and surface electromyogram (sEMG) signals on the opposite side of the body respectively reflect motor control information and functional response information. Functional coupling connections between the cerebral cortex and corresponding muscles. [0003] Studies have shown that under the functional regula...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H20/30G06F17/18G06F17/17
CPCG06F17/17G06F17/18G16H20/30G16H50/20
Inventor 佘青山王洪安马玉良高云园
Owner HANGZHOU DIANZI UNIV
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