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

Multistage lead electrocardiograph signal QRS waveform identification method

A technology for electrocardiographic signal and waveform recognition, which is applied in medical science, sensors, diagnostic recording/measurement, etc., can solve problems such as wrong recognition, and achieve the effects of avoiding misjudgment, accurate feature information, and avoiding matching errors

Inactive Publication Date: 2014-11-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF7 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, such as some special cases mentioned above, this traditional method does not take into account, which will cause wrong recognition

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
  • Multistage lead electrocardiograph signal QRS waveform identification method
  • Multistage lead electrocardiograph signal QRS waveform identification method
  • Multistage lead electrocardiograph signal QRS waveform identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The present invention is described in detail below in conjunction with accompanying drawing

[0044] The process of the present invention is as follows: first filter the collected electrocardiographic signal, then identify the R wave of the II-level lead electrocardiographic signal, and use the position of the R wave of the II-level lead signal as a reference for other multi-level conductors. The R wave of the ECG signal is identified, and then the Q wave and S wave of the multi-level lead signal are identified, so as to realize the QRS waveform identification of the multi-lead ECG signal.

[0045] The filtering process is described as follows: the collected ECG signal contains noise such as baseline drift noise, power frequency interference noise, and myoelectric interference noise. Baseline drift noise is low-frequency noise, power frequency interference noise and myoelectric interference noise are high-frequency noise. The present invention uses the fifth-order wavele...

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 relates to a multistage lead electrocardiograph signal QRS waveform identification method. The method includes the steps that firstly, collected electrocardiograph signals are filtered, R waves of the II-stage lead electrocardiograph signals are identified, the positions of the R waves of the II-stage lead electrocardiograph signals serve as reference, R waves of other stages of lead electrocardiograph signals are identified, then Q waves and S waves of the multistage lead electrocardiograph signals are identified, and therefore multistage lead electrocardiograph signal QRS waveform identification is achieved. The method has the advantages that a new method is proposed for wavelet transformation R wave identification and matching errors of the maximal value and the minimal value in a traditional maximal value-minimal value method can be avoided. The method is particularly suitable for electrocardiograph signal QRS waveform identification.

Description

technical field [0001] The invention relates to a method for identifying QRS waveforms of electrocardiographic signals, in particular to a method for identifying QRS waveforms of multilevel lead electrocardiographic signals based on wavelet transform. Background technique [0002] Due to the aggravation of the aging population in our country and the unbalanced distribution of existing medical resources, the medical and health field is becoming more and more important in our country. Among them, cardiovascular disease is an important disease that endangers the health of modern people, and the prevention and treatment of cardiovascular disease has become particularly important. The recognition of ECG signal waveform is an important link in the treatment of cardiovascular diseases, and its theoretical research needs to provide a high accuracy rate. The steps of ECG waveform identification often start with QRS waveform identification. [0003] In the traditional ECG signal det...

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): A61B5/0472A61B5/366
Inventor 窦衡孔飞张德波李玲
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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