Electrocardiogram R wave detection method

A detection method, electrocardiogram technology, applied in the direction of diagnostic recording/measurement, medical science, sensor, etc., can solve the problem that the arrest signal cannot be detected, so as to overcome the delay and the inability to detect the arrest, reduce the memory space, and reduce the Delay effect

Inactive Publication Date: 2012-03-21
SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
View PDF3 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to propose a kind of electrocardiogram R wave detection method for the deficiencies in the prior art, it can realize the real-time high accuracy analysis to electrocardiogram, and has eliminated the problem that arrest signal can not be detected

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
  • Electrocardiogram R wave detection method
  • Electrocardiogram R wave detection method
  • Electrocardiogram R wave detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and a preferred embodiment.

[0034] refer to figure 2 , the electrocardiogram R wave detection method comprises the steps:

[0035] 1a) Band-pass filtering: use a 5-18Hz forward filter to filter the input ECG signal and perform phase delay compensation;

[0036] 1b) Difference: Perform differential processing on the signal output by the forward filter to form a differential signal;

[0037] 1c) Data sorting: transform the differential signal: output = absolute value of input / G1, G1 is the assumed maximum value of human R-wave differential value, and can take a value of 0.1~0.5. If the output is equal to 1, set it to 1. If the output It is also set to 1 if it is less than 0.01; the data sorting process does not use the normalization method, but uses an absolute value, so that the signal amplitude can be calculated in the subsequent detection...

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 electrocardiogram R wave detection method. The method comprises the following steps: filtering an input electrocardiogram signal by a band pass filter, and performing phase compensation; performing differential processing; performing data reduction on a differential signal by adopting linear variation; performing Shannon energy conversion by using a formula d(n)*d(n)*log(d(n)*d(n)); filtering by using an average filter, and performing phase compensation; detecting a maximum point and a minimum point, eliminating a fault R point, and correcting a falsely eliminated point to obtain a position of approximate R wave; and searching the position of true R in a range of periphery of the position of the approximate R wave +/- 25 points. By using the method, the problems of time delay and asystole detection unavailability in the conventional R wave detection method can be solved, and the method can be used for analyzing real-time electrocardiogram to reduce time delay and reduce required memory space, so that the accuracy rate is improved.

Description

technical field [0001] The invention particularly relates to an electrocardiogram R-wave detection method. Background technique [0002] The electrocardiogram is composed of PQRST and other waveforms generated by the heart cycle activity. The R wave is the most obvious waveform in the electrocardiogram. The correct detection of the R wave is the basis for the automatic analysis of the entire electrocardiogram. The R wave detection method is also a hot spot in the research of the electrocardiogram. [0003] There are many existing R-wave detection methods, and the accuracy rate is gradually improved. For example, in the paper entitled "A novel method for detecting R-peaks in electrocardiogram (ECG) signal" ("Biomedical Signal Processing and Control", 2011.04.02), M. Sabarimalai Manikandan et al. proposed an R-wave The detection method, that is: first pass through a 6-18Hz band-pass filter for two-way filtering, make a difference, and normalize the difference signal; then use...

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): A61B5/0456A61B5/352
Inventor 朱洪海董军
Owner SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap