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

Continuous blood pressure measurement method based on electrocardiosignal and blood oxygen plethysmography

A blood oxygen volume wave and ECG signal technology, applied in the field of medical equipment, can solve the problem of not being able to obtain blood pressure values

Active Publication Date: 2017-06-27
INST OF ELECTRONICS CHINESE ACAD OF SCI
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Since blood pressure is the result of multiple factors, the relationship between pulse wave transit time and blood pressure can only be used to deduce the blood pressure value, and an accurate blood pressure value cannot be obtained.

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
  • Continuous blood pressure measurement method based on electrocardiosignal and blood oxygen plethysmography
  • Continuous blood pressure measurement method based on electrocardiosignal and blood oxygen plethysmography
  • Continuous blood pressure measurement method based on electrocardiosignal and blood oxygen plethysmography

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] In the following, a method for continuous blood pressure measurement based on electrocardiogram signal and blood volume wave based on multi-parameter fusion of the present invention will be clearly and completely described in conjunction with specific embodiments.

[0042] figure 1 It is a schematic flow chart of the measurement method of the present invention. A continuous blood pressure measurement method based on electrocardiogram signal and blood oxygen volume wave, comprising the following steps:

[0043] Step 1: Real-time detection of the position a of the R point of the ECG signal of the subject 00 ;

[0044] Step 2: Continuously detect the blood oxygen volume wave of the subject to be tested, and perform differential processing on the blood oxygen volume wave to obtain the maximum value a of the first derivative of the blood oxygen volume wave in the same cycle as the ECG signal 01 , the time difference a between two systolic peak points in two adjacent cycl...

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 continuous blood pressure measurement method based on multi-parameter fusion. In addition to comprehensively considering blood pressure calibration by using the pulse wave transmission time, the method also considers the maximum value a01 of a first-order derivative of the blood oxygen plethysmography which is in the period same as that of the electrocardiosignal, the time difference value a2 of two systolic-phase peak points in two adjacent periods, the time difference value a3 of two minimum-value points, the time difference value a4 of two diastole-phase peak points, the difference value a5 of two dicrotic incisure points, the amplitude a6 of the systolic-phase peak points, the amplitude a7 of the minimum-value points, the amplitude a8 of the diastole-phase peak points, the amplitude a9 of the dicrotic incisure points, the systolic area a10, the diastole area a11, the area a12 of the blood oxygen plethysmography, the area ratio a13, the difference a14 of two peak points in the same period, the difference a15 between the systolic-phase peak point and the minimum-value point in the same period, the rising time a16, the time increment a17, the growth coefficient a18 and the reflection coefficient a19. According to the eighteen parameters, a blood pressure model is established by the BP neural network, the blood pressure value is predicted according to the model, a correction module is provided, the blood pressure value is accurately predicted, and the variation trend of the blood pressure is approached.

Description

technical field [0001] The invention belongs to the field of medical devices, in particular to a multi-parameter fusion continuous blood pressure measurement method based on pulse wave transit time. Background technique [0002] With the rapid development of social economy, people pay more and more attention to health status; especially with the growth of aging population, convenient and easy-to-use health monitoring equipment has become an urgent demand of the society. Blood pressure is an important parameter reflecting the function of the human circulatory system. It refers to the lateral pressure of blood on the vessel wall per unit area caused by the pumping activity of the heart, which changes continuously and periodically with each cardiac cycle. Designing a continuous blood pressure measurement method to understand the diurnal variation of blood pressure is not only necessary for the prevention, diagnosis, treatment and control of hypertension, but also plays an impor...

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): A61B5/021A61B5/0402A61B5/145A61B5/00
CPCA61B5/02125A61B5/14542A61B5/7235A61B5/318
Inventor 徐志红方震赵湛陈贤祥杜利东
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI
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