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

Blood oxygen content estimation method based on binary sensor Kalman fusion

A technology of oxygen content and sensor, which is applied in the field of non-invasive blood oxygen content estimation, can solve the problem of binary sensor uncertainty information processing and other problems

Active Publication Date: 2020-01-21
ZHEJIANG UNIV OF TECH
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the inadequacy of the existing blood oxygen content estimation method that cannot solve the problem of uncertain information processing brought by the binary sensor, in order to realize the non-invasive real-time estimation of the blood oxygen content, the present invention proposes a method based on binary sensor Kalman fusion The blood oxygen content estimation method is based on the analysis of the effective information in the binary measurement, combined with the Kalman filter technology, using the covariance insertion fusion criterion, and on this basis, a distributed fusion Kalman filter is designed to achieve real-time blood oxygen content estimate

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
  • Blood oxygen content estimation method based on binary sensor Kalman fusion
  • Blood oxygen content estimation method based on binary sensor Kalman fusion
  • Blood oxygen content estimation method based on binary sensor Kalman fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] The present invention will be further described below in conjunction with the accompanying drawings.

[0085] refer to Figure 1-Figure 3 , a method for estimating blood oxygen content based on binary sensor Kalman fusion, said estimating method comprising the steps of:

[0086] Step 1: Establish a dynamic physiological model of blood oxygen content and a binary measurement model, analyze the effective information in the measurement of the binary sensor, and obtain the actual measurement model. The process is as follows:

[0087] 1.1 The expression of the dynamic physiological model of blood oxygen content is

[0088] a(t+1)=(1-f)(1.34Hb+0.003(c 1 u(t)+c 2 (t)e(t)))

[0089] +f(a(t)-μ)+w(t) (1)

[0090] where a(t) is the arterial oxygen content, u(t) is the percentage of oxygen in the inhaled air (input by the clinician), f is the fraction of blood shunted (related to the specific condition of the patient), and e(t) is the percentage of exhaled carbon dioxide. Par...

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 a blood oxygen content estimation method based on binary sensor Kalman fusion. The method comprises the following steps of: establishing a blood oxygen content dynamic physiological model and a binary measurement model, analyzing effective information in binary sensor measurement according to a blood oxygen content model, and obtaining a practical measurement model; designing a robust local Kalman estimator, giving a recursive computation process of an estimation error covariance upper bound, and through the minimization of the estimation error covariance upper bound, solving an optimal local estimation gain; and designing a distributed fusion Kalman filter used for blood oxygen content estimation, adopting a covariance insertion fusion criterion, and solving an optimal problem to obtain an optimal fusion weight matrix. The invention provides the blood oxygen content distributed fusion Kalman estimation method based on the binary sensor, and realizes the real-time non-invasive estimation of the blood oxygen content.

Description

technical field [0001] The invention relates to a method for estimating blood oxygen content based on binary sensor Kalman fusion, in particular to a non-invasive method for estimating blood oxygen content. Background technique [0002] The blood oxygen content in the human body must be maintained within a safe range. Too low blood oxygen content can lead to organ failure or brain damage, while too high blood oxygen content can lead to human poisoning. Therefore, during modern surgery, the body's blood oxygen content needs to be continuously monitored for precise control. At present, the oxygen content can only be directly measured by drawing the patient's blood, which is invasive and cannot meet the real-time requirements. For non-invasive real-time estimation of blood oxygen content, clinicians try to use pulse oximeter to measure hemoglobin oxygen saturation, and then use the relationship curve between the two to determine blood oxygen content. However, when a slight ch...

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): A61B5/145
CPCA61B5/14542
Inventor 陈博章宇晨俞立洪榛张文安
Owner ZHEJIANG UNIV OF TECH
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