Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Automatic decomposition method of arrayed semg signal

An automatic decomposition and array technology, applied in the fields of medical science, sensors, diagnostic recording/measurement, etc., can solve the problems such as the inability to achieve the decomposition effect of the plug-in EMG signal, the strong variability of the MUAP waveform, and the unsatisfactory effect. Decomposition accuracy, reduced computation time, and convenient effects

Inactive Publication Date: 2018-05-08
NINGBO UNIVERSITY OF TECHNOLOGY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The convolution kernel compensation algorithm method is a blind signal decomposition method, and the effect of this method is still unsatisfactory when the waveform superposition is serious
The signal-to-noise ratio of array-type sEMG is low, and the variability of MUAP waveforms is strong and the degree of mutual superposition is large, which is the main reason for the difficulty of its decomposition
Many researchers have made some modifications to the decomposition method of the inserted EMG signal and applied it to the decomposition research of the surface EMG signal, but none of them can achieve the decomposition effect of the inserted EMG signal.

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
  • Automatic decomposition method of arrayed semg signal
  • Automatic decomposition method of arrayed semg signal
  • Automatic decomposition method of arrayed semg signal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention will be further described in detail below in conjunction with the accompanying drawings, and those skilled in the art can easily realize the content disclosed in this specification.

[0029] Such as figure 1 Shown is a flow chart of the present invention.

[0030] Step 1: Array sEMG signal preprocessing: filter the sEMG signal to eliminate interference. Since the sEMG signal contains various interference signals, the preprocessing first needs to use a band-pass filter to retain the 10Hz--500Hz frequency band signal, and then use a notch filter to filter out the 50Hz power frequency interference.

[0031] Step 2: Calculate the initial delivery sequence vector: use the correlation of the signals of each channel of the array sEMG signal to calculate the initial delivery sequence vector as the initial value for extraction. The specific process is as follows: firstly calculate the cross-correlation matrix of the array sEMG signal and the inverse matri...

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 provides an automatic decomposition method of an array type sEMG (surface EMG) signal. The automatic decomposition method comprises the following steps: firstly, pretreating the array type sEMG signal, and calculating an initial distribution sequence vector; determining the number of kinematic units, namely, the cluster number, by using time domain subtraction; according to the cluster number, clustering array type sEMG waveforms by using a minimum distance classifier; finally, recalculating a new kinematic unit distribution sequence vector, circulating the executive routine till decomposition is finished, classifying all the distribution sequences, and optimizing the result. The decomposition method is high in accuracy, quick in calculation speed and easy to operate.

Description

technical field [0001] The invention relates to an array type sEMG signal automatic decomposition method. Background technique [0002] Surface EMG (sEMG) is the use of surface electrodes to detect electromyographic signals from the human body surface. Compared with needle electrode electromyographic signals (Needle EMG, NEMG), it is non-invasive and easy for patients to accept. Therefore, The application prospect is broad. Experiments have shown that using array sEMG can improve the detection rate of motor units (MU), especially the detection and identification of small-amplitude motor unit action potentials (MUAP). The origin of sEMG is MUAP, the action potential released by each motor unit activated during a given muscle contraction. In any given recruitment pattern, numerous motor units are activated in an asynchronous pattern, and the sum of the activities of these motor units constitutes the intensity of the EMG signal. Array sEMG signal is essentially the sum of mu...

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
Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/0488
CPCA61B5/7221A61B5/7246A61B5/7264A61B5/316A61B5/389
Inventor 何金保骆再飞易新华廖远江
Owner NINGBO UNIVERSITY OF TECHNOLOGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products