Intermuscular coupling analysis method based on transfer entropy and generalized partial directional coherence

A technology of partial orientation coherence and coupling analysis, which is applied in the research field of nervous system motion control mechanism, which can solve the problems of inability to effectively describe the direction of intermuscular coupling and nonlinear coupling characteristics.

Inactive Publication Date: 2018-11-06
HANGZHOU DIANZI UNIV
View PDF2 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The main measurement methods in the above studies are all based on coherence, but the traditional coherence analysis method cannot effectively describe the intermuscular coupling direction and nonlinear coupling characteristics

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intermuscular coupling analysis method based on transfer entropy and generalized partial directional coherence
  • Intermuscular coupling analysis method based on transfer entropy and generalized partial directional coherence
  • Intermuscular coupling analysis method based on transfer entropy and generalized partial directional coherence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] 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 detailed implementation methods and specific operating procedures.

[0034] The EMG signal of the human body changes with the movement state of the limbs, and multiple muscles are involved in each movement at the same time. Therefore, it is particularly important to analyze the coupling characteristics of multi-channel EMG signals for the study of the motor control mechanism of the central nervous system. The present invention combines transfer entropy method and generalized partiality directional coherence, such as figure 1 Shown, the fact of the inventive method mainly comprises six steps: (1) synchronous acquisition of multi-channel electromyographic signal; (2) preprocessing of electromyographic signal; (3) transfer entropy calculation b...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an intermuscular coupling analysis method based on the transfer entropy and the generalized partial directional coherence, aiming at accurately analyzing the intermuscular functional coupling strength under different movement modes. As the traditional coherence analysis can neither effectively describe the intramuscular coupling direction and non-linear coupling characteristics nor exclude the influence of indirect connection, the method introduces the transfer entropy and the generalized partial directional coherence to the intermuscular coupling analysis to investigate the coupling characteristics of the intermuscular bi-directional function of electromyographic signals from relative muscles in the upper limb movement in the time-frequency domain. The intermuscular coupling analysis method has the advantages of providing an effective observation means to explore the movement control mechanism of central nervous system, and having great application value in thefield of rehabilitation medicine.

Description

technical field [0001] The invention belongs to the research field of nervous system motion control mechanism, and relates to transfer entropy calculation and generalized biased coherence calculation on the basis of extended multivariate autoregressive model, so as to perform synchronous coupling analysis in time-frequency domain. Background technique [0002] During voluntary actions, motor control information is transmitted through neural oscillations. Under the action of central nervous system function regulation and feedback control, the oscillation coupling of motor muscle units reflects the motion response information, and the coupling phenomenon between muscles can reflect the interaction between muscles and the domination ability of the central nerve to muscles during the movement process. The above-mentioned two major systems of cerebral cortex and motor neuromuscular tissue and their interactions constitute the cortical-muscular coupling relationship. Since Conway...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): A61B5/0488
CPCA61B5/7203A61B5/725A61B5/389
Inventor 佘青山郑行马玉良孟明
Owner HANGZHOU DIANZI UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products