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Blood oxygen content estimation method based on binary sensor bounded recursive optimization fusion

An oxygen content and sensor technology, applied in the field of non-invasive blood oxygen content estimation, can solve the problem of inability to solve the problem of binary sensor uncertainty information processing and so on

Active Publication Date: 2020-01-24
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] In order to overcome the inability of the existing blood oxygen content estimation method to solve the inadequacy of the uncertainty 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 bounded recursive optimization fusion method based on the binary sensor By analyzing the effective information in the binary measurement, combined with the bounded recursive optimization estimation method, and using the linear matrix inequality technology, a distributed fusion bounded recursive optimization filter is designed on this basis to realize real-time Blood Oxygen Level Estimation

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  • Blood oxygen content estimation method based on binary sensor bounded recursive optimization fusion
  • Blood oxygen content estimation method based on binary sensor bounded recursive optimization fusion
  • Blood oxygen content estimation method based on binary sensor bounded recursive optimization fusion

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[0101] The present invention will be further described below in conjunction with the accompanying drawings.

[0102] refer to Figure 1-Figure 3 , a method for estimating blood oxygen content based on binary sensor bounded recursive optimal fusion, the estimating method comprises the following steps:

[0103] 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:

[0104] 1.1 The expression of the dynamic physiological model of blood oxygen content is

[0105] a(t+1)=(1-f)(1.34Hb+0.003(c 1 u(t)+c 2 (t)e(t)))+f(a(t)-μ)+w(t) (1)

[0106] 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 ...

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Abstract

The invention relates to a blood oxygen content estimation method based on binary sensor bounded recursive optimization fusion, which comprises the steps: establishing a blood oxygen content dynamic physiological model, analyzing effective information in binary sensor measurement, and obtaining an actual measurement model; designing a local bounded recursive optimization estimator, giving an upperbound of a local estimation error square, ensuring that the upper bound is established, minimizing the upper bound of the local estimation error square to construct an optimization problem with constraints, and designing an optimal local estimation gain by solving the optimization problem; designing a distributed bounded recursive optimization fusion estimator for estimating the blood oxygen content, and minimizing the upper bound of the estimation error square to design an optimal fusion weight matrix. The invention provides a blood oxygen content distributed fusion estimation method based on bounded recursive optimization and the binary sensor, and the real-time noninvasive estimation of the blood oxygen content is achieved.

Description

technical field [0001] The invention relates to a method for estimating blood oxygen content based on binary sensor bounded recursive optimal 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. Howeve...

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Application Information

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IPC IPC(8): A61B5/145
CPCA61B5/14542
Inventor 陈博章宇晨俞立张文安洪榛
Owner ZHEJIANG UNIV OF TECH
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