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

Detector methods and apparatus of cardiovascular system combining with variability guideline

A detection device and variability technology, applied in the directions of diagnostic recording/measurement, medical science, diagnosis, etc., can solve the problems of unclear physical meaning of indicators, difficult to diagnose accurately, and gaps in the analysis of variability of cardiovascular system.

Inactive Publication Date: 2009-07-22
SHANDONG UNIV
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the linear analysis method does not conform to the fact that the cardiovascular system itself is a nonlinear system, the specificity of the analysis results is relatively low and it is sensitive to external noise
The scatter diagram analysis method mainly relies on the naked eye observation of doctors to obtain some qualitative or semi-quantitative indicators. The physical meaning of the indicators is not very clear, and it is difficult to make an accurate diagnosis.
Other nonlinear analysis methods have shown their theoretical value from different aspects, but there is still a gap in the variability analysis of clinical short-term cardiovascular system

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
  • Detector methods and apparatus of cardiovascular system combining with variability guideline
  • Detector methods and apparatus of cardiovascular system combining with variability guideline
  • Detector methods and apparatus of cardiovascular system combining with variability guideline

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] figure 1 The flow chart of the method for detecting the joint cardiovascular variability index AV of the present invention is given. First, in the same cardiac cycle, the ECG, heart sounds, and radial pulse signals of the subject are collected synchronously, and the three-way signals are filtered, denoised, amplified, and analog-to-digital converted to form a figure 2 As shown in the signal waveform diagram, figure 2 From top to bottom, there are ECG signal, heart sound signal, and radial artery pulse signal, and the P wave, QRS wave group and T wave of the ECG signal are marked on the figure, and the first heart sound (S1) of the heart sound signal The mitral valve closing component (A1) of the second heart sound (S2), the aortic valve closing component (A2) of the second heart sound (S2), the pulse starting point u and the dicrotic wave notch point In of the radial artery pulse signal, and the above marked points are taken as the signal Feature points. Each signa...

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 a detection method and a device for a joint variability index of the cardiovascular system. The detection method comprises the following steps: (1) collecting the electrocardiogram, heart sound, and radial artery pulse signal of the subject; (2) analyzing the three-way signal Carry out analog-to-digital conversion to form a signal waveform diagram; (3) identify and extract the respective characteristic points of the three signals; (4) construct the ECG interval time series RR, electromechanical delay time series and pulse wave of the joint variability index Propagate time series; (5) test the validity of each time series; (6) calculate heart rate variability, electrical mechanical delay variability and pulse wave propagation time variability; (7) calculate cardiovascular joint variability index AV. The detection device includes an electrocardiographic signal detection module, a heart sound signal detection module, a radial artery pulse signal detection module, an analog-to-digital conversion device and a computer. The invention can better reflect different physiological and pathological states of the human cardiovascular system, has a high degree of discrimination, and has wide clinical application value.

Description

technical field [0001] The invention relates to a method and device for detecting the combined variability index AV of the human cardiovascular system, in particular to a method and a device for non-invasive detection of the functional state of the cardiovascular system of the human body, belonging to the technical field of detection of the functional state of the cardiovascular system. Background technique [0002] The human cardiovascular system is a complex nonlinear system, in which many signals such as ECG, heart sound, and pulse signals contain rich nonlinear dynamic information. The amount of nonlinear dynamic information is closely related to the functional state of the human cardiovascular system, and at the same time reflects the regulation function of the autonomic nervous system on the cardiovascular system, and also reflects the interaction between respiratory factors, humoral factors, etc. and the cardiovascular system. [0003] The variability of the cardiovas...

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): A61B5/0205G06F17/00
Inventor 刘常春刘澄玉王新沛孙欣朱其刚徐胜鹤
Owner SHANDONG UNIV
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