Blood Oxygen Content Estimation Method Based on Bounded Recursive Optimal Fusion of Binary Sensors

Abstract

A method for estimating blood oxygen content based on binary sensor bounded recursive optimization fusion, establishing a dynamic physiological model of blood oxygen content and analyzing the effective information in binary sensor measurement to obtain the actual measurement model; designing local bounded recursive optimization Estimator, which gives an upper bound of the square of the local estimation error, ensures that this upper bound holds and minimizes the upper bound of the square of the local estimation error to construct an optimization problem with constraints, and designs the optimal local estimation gain by solving this optimization problem; design A distributed bounded recursive optimization fusion estimator for blood oxygen content estimation, which minimizes the upper bound of the estimated error square to design the optimal fusion weight matrix; the invention provides a blood oxygen sensor based on bounded recursive optimization and binary sensors The content distributed fusion estimation method realizes real-time non-invasive estimation of blood oxygen content.

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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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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