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

Electrocardiosignal QRS wave group detecting algorithm based on improved variational modal decomposition

A variational modal decomposition, QRS complex technology, applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems of low recognition rate, weak anti-interference ability, etc. The effect of eigenwave recognition rate

Inactive Publication Date: 2018-05-22
CHONGQING UNIV OF POSTS & TELECOMM
View PDF6 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] In order to solve the problems of weak anti-interference ability and low recognition rate in the process of detecting the characteristic waves of ECG signals, the present invention proposes a method for detecting QRS complexes of ECG signals based on improved VMD

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
  • Electrocardiosignal QRS wave group detecting algorithm based on improved variational modal decomposition
  • Electrocardiosignal QRS wave group detecting algorithm based on improved variational modal decomposition
  • Electrocardiosignal QRS wave group detecting algorithm based on improved variational modal decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The invention provides a QRS wave group detection algorithm based on improved VMD, the core idea of ​​which is: based on variational mode decomposition, the K value of the important parameter in the algorithm is adaptively selected to optimize the decomposition of the signal to be processed , and then select the appropriate BIMF component for the next step of research, normalize and square the component, locate the R point of the processed signal through the threshold method, obtain the index position, calibrate it on the original signal, and finally in the original signal The Q and S waves are calibrated using the slope mutation method, so that the detection of the QRS complex of the ECG signal can be completed.

[0039] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0040] A kind of QRS complex detection algorithm based on improved VMD, its specific steps are as follows:

[0041] Step 1. Determi...

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 electrocardiosignal QRS wave group detecting algorithm based on improved variational modal decomposition. The problem that a traditional recognizing method is not strong in interference resistance and not high in recognizing rate is solved. According to the core concept of the algorithm, variational modal decomposition serves as the basis, the value of an important parameter K in the algorithm is selected in a self-adaptive mode, decomposition and optimization are conducted on a to-be-processed signal, a proper BIMF vector is selected for further research, normalization and square treatment are conducted on the vector, R point positioning is conducted on the processed signal through a threshold method, an index position is obtained, an original signal is calibrated, a Q wave and an S wave are calibrated on the original signal through a slope mutation method, and therefore electrocardiosignal QRS wave group detecting can be completed. The important parameter Kin the VMD algorithm can be determined in a self-adaptive mode, and finally high interference resistance and recognition rate are achieved for QRS feature wave detecting.

Description

technical field [0001] The invention relates to the technical field of vital sign signal processing, in particular to a QRS wave group detection algorithm for electrocardiographic signals. Background technique [0002] Cardiovascular system disease is a major disease that threatens human health, and has become a major public health problem in my country and the world. ECG signals contain rich physiological and pathological information, and the extraction and processing of these information is of great significance in the prevention, diagnosis and treatment of heart diseases. [0003] At present, industrial automation is the general trend, and the ECG automatic analysis system can improve the work efficiency of medical personnel and provide guarantee for timely diagnosis of diseases. However, the proportion of automatic ECG signal analysis system in clinical application is not very large. The main reason is that the accuracy of automatic analysis system still has a certain g...

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 Applications(China)
IPC IPC(8): A61B5/0472A61B5/366
CPCA61B5/7203A61B5/7225A61B5/7235A61B5/366
Inventor 林金朝刘乐乐李国权庞宇孙平
Owner CHONGQING UNIV OF POSTS & TELECOMM
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com