Exhaled air concentration measuring device and method based on human-computer interaction module

Abstract

The invention provides an exhaled air concentration measuring device and method based on a human-computer interaction module. The exhaled air concentration measuring device comprises a gas circuit module and a control module which communicate with each other. The gas circuit module is composed of a sampling module and an analysis module; the sampling module comprises a flow controller, a three-wayvalve I, a gas buffer area, a flow detection device II and a sucking pump I which are connected in sequence; an electromagnetic valve is arranged on a branch between the gas buffer area and the sucking pump I; the analysis module comprises a gas buffer area, a three-way valve II, an air humidity regulator, a sucking pump II and an air concentration sensor which are sequentially connected. The success rate and accuracy of exhaled air concentration measurement are improved, data measured by all instruments are collected and processed through a big data platform, and therefore personalized medical treatment and statistical analysis of similar diseases are achieved.

Description

technical field [0001] The invention relates to the field of gas analysis, in particular to an exhaled gas concentration measurement device and method based on a human-computer interaction module. Background technique [0002] The measurement of human exhaled gas composition and concentration can assist doctors in diagnosing patients' diseases, monitoring disease states and observing treatment effects, etc. [0003] Exhaled nitric oxide is used for the diagnosis and monitoring of respiratory system inflammation. This is because the endogenous gas signal molecule NO is produced by the oxidative deamination of arginine in cortical cells. Infection, allergies, trauma and other inflammatory factors can be increased by Expression of inducible NO synthase results in a marked increase in NO concentrations, which can be quantified by exhaled breath analysis. Pulmonary inflammatory diseases that lead to increased eNO include: bronchial asthma, upper respiratory tract viral infection...

AI Technical Summary

Problems solved by technology

[0005] 1) In this patent, the flow rate of pump 1 and pump 2 is not monitored, because the gas concentration in the exhaled air of the human body is very low, mostly ppm or ppb (10 -6 or 10 -9 ) magnitude, in the process of sampling and analysis, the gas flow state will directly affect the final measurement results;

[0006] 2) In the existing technology, a single machine is not connected to the background server or big data platform. Due to the individual differences of the human body, it is difficult to give an accurate assessment of the health status of the user from the result of a single measurement, which is not conducive to its diagnosis and treatment;

[0007] 3) In the existing technology, data processing relies on the operator to summarize and count the test results of a large number of people based on multiple instruments, collect the original data of the exhaled breath of patients with similar diseases, and then perform data analysis. This method collects data sample size The work is time-consuming and labor-intensive, and does not have statistical significance, which is not conducive to medical comparison, analysis and research on the disease

Measurements are inconvenient due to mobility difficulties of hospitalized patients

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