Blood Oxygen Content Estimation Method Based on Binary Sensor Kalman Fusion

Abstract

A method for estimating blood oxygen content based on binary sensor Kalman fusion, establishing a dynamic physiological model of blood oxygen content and a binary measurement model, analyzing the effective information in binary sensor measurement according to the blood oxygen content model, and obtaining the actual Measurement model; design a robust local Kalman estimator, give the recursive calculation process of the upper bound of the estimated error covariance, and obtain the optimal local estimated gain by minimizing the upper bound of the estimated error covariance; designed for blood oxygen content The estimated distributed fusion Kalman filter adopts the covariance insertion fusion criterion and obtains the optimal fusion weight matrix by solving the optimization problem. The invention provides a distributed fusion Kalman estimation method of blood oxygen content based on a binary sensor to realize 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 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...

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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

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