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Complex network based electromyographic signal acquisition position selecting method

A technology of electromyographic signal acquisition and complex network, which is applied in diagnostic signal processing, appliances to help people move, medical science, etc., and can solve problems such as suboptimal motion recognition effect.

Inactive Publication Date: 2016-07-20
HEBEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, there is no mature theoretical basis and unified standard for the placement of EMG electrodes. It is usually based on the existing knowledge of anatomy, and the muscle position with a relatively large EMG signal amplitude, such as the rectus femoris muscle belly, is actually selected for exercise. The recognition effect is not optimal

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  • Complex network based electromyographic signal acquisition position selecting method
  • Complex network based electromyographic signal acquisition position selecting method
  • Complex network based electromyographic signal acquisition position selecting method

Examples

Experimental program
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Embodiment 1

[0090] The present embodiment is based on the complex network EMG signal acquisition location selection method, comprising the following steps:

[0091] Step S1: collecting electromyographic signals,

[0092] Select n myoelectric signal collection points related to exercise, and collect the myoelectric signal of a movement process in M ​​kinds of motion modes,

[0093] Step S2: Calculate the connection relationship of each EMG signal collection point,

[0094] Preprocessing the myoelectric signal collected in step S1, and calculating the connection relationship between n myoelectric signal collection points, the specific steps are as follows:

[0095] Step S21: Select the EMG sample data of the electromyographic signal collection point a (a=1, 2, ..., n), process it with a moving time window, and divide it into w time panes;

[0096] Step S22: Select the electromyographic signal of the g=1st exercise mode and perform preprocessing;

[0097] Step S23: Select the t (t=1,2,......

Embodiment 2

[0139] In the complex network construction process, different eigenvalues ​​are selected, and the built network is very different. In this embodiment, the number of eigenvalues ​​selected by the present invention is reduced. On the one hand, the workload can be reduced, and on the other hand, the network can be constructed. A complex network with more obvious network characteristics.

[0140] In an embodiment, the specific implementation steps of collecting myoelectric signals in step S1 are as follows:

[0141] Step S11: Select n=100 myoelectric signal acquisition points related to the movement of the lower limbs. The distribution of the myoelectric signal acquisition points of the left leg and the right leg is the same (see FIG. 3 ), including the first myoelectric electrode set 1, the first myoelectric electrode set Two myoelectric electrode sets 2, the third myoelectric electrode set 3, the fourth myoelectric electrode set 4, the fifth myoelectric electrode set 5 and the s...

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Abstract

The invention relates to a complex network based electromyographic signal acquisition position selecting method. The method is characterized by comprising following steps: electromyographic signals are acquired; a connection relation of electromyographic signal acquisition points is calculated, the electromyographic signals acquired in the step S1 are pre-processed, the connection relation of n electromyographic signal acquisition points is calculated, and a complex network model is constructed; network characteristics are analyzed, and node characteristic indexes under different motion modes are calculated; an electromyographic signal acquisition position is determined. According to the invention, the electromyographic signals of lower limb surfaces are analyzed by the complex network, and a coordinating cooperation relation of muscles in a lower limb movement process can be deeply analyzed; compared with a conventional method for selecting the acquisition position with a higher electromyographic signal amplitude value, the complex network based electromyographic signal acquisition position selecting method has the advantages that a muscle group and electrode placing position with a closer relation with different motion modes can be determined, and theoretical basis is provided for electromyographic selection in a process of electromyographic control for lower limb rehabilitation assistive devices.

Description

technical field [0001] The invention relates to the technical field of a method for selecting a collection position of an electromyographic signal, in particular to a method for selecting a collection position of an electromyographic signal based on a complex network. Background technique [0002] EMG signals are generated when muscle activity is stimulated. They are important biomechanical information for sports, and are directly related to the expected actions of the human body. Especially, surface EMG signals are used to perceive human motion intentions due to their advantages of non-invasive measurement and easy extraction. It is an ideal source of information and is widely used in the control of lower limb rehabilitation aids such as exoskeleton walking robots and artificial limbs. [0003] In the process of myoelectric control of lower limb rehabilitation aids, the selection of myoelectric acquisition position is very important. However, at present, there is no mature...

Claims

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Application Information

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IPC IPC(8): A61B5/0488A61H3/00
CPCA61B5/72A61H3/00A61H2201/0157A61H2201/165A61H2205/10A61H2230/605A61B5/389
Inventor 陈玲玲李珊珊张燕张存
Owner HEBEI UNIV OF TECH