Exhaled gas detection equipment

A technology for exhaled gas and detection equipment, which is used in measurement devices, instruments, scientific instruments, etc., can solve the problems of poor stability and low efficiency of manual classification, and achieve the effects of high accuracy, strong learning ability and high efficiency.

Pending Publication Date: 2022-01-28
SICHUAN CANCER HOSPITAL
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Problems solved by technology

[0004] In order to improve the deficiencies of low efficiency and poor stability of manual classification existing in the prior art

Method used

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Embodiment Construction

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.

[0028] Please refer to figure 1 , the exhaled gas d...

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Abstract

The invention discloses exhaled gas detection equipment, which comprises a gas collection device used for collecting exhaled gas; a mass spectrometer used for analyzing the exhaled gas to obtain a VOCs mass spectrum; a processor used for extracting VOCs content data from the VOCs mass spectrum, inputting the VOCs content data into a pre-prepared classification model, and outputting to obtain a detection result, wherein the classification model is a nonlinear support vector machine model, and a penalty factor c and a gamma parameter of the classification model are obtained through genetic algorithm optimization; and a display used for displaying the classification model and the detection result. The classification model for detecting the exhaled gas is obtained based on the nonlinear support vector machine, and the penalty factor c and the gamma parameter are obtained through genetic algorithm optimization, so that the stability and the accuracy of the classification model are greatly improved, and the equipment can be applied clinically.

Description

technical field [0001] The invention relates to the technical field of gas detection, in particular to an exhaled gas detection device. Background technique [0002] Exhaled breath analysis can be traced back to ancient Greece. Physicians used the smell of human exhaled breath to assist in the diagnosis of some diseases, such as the smell of rotten apples and diabetes, musty smell and liver disease, and urine ammonia smell related to kidney disease. Exhaled breath detection has been approved by the FDA for clinical use in the diagnosis of certain diseases, such as CO for the diagnosis of neonatal jaundice, 13CO2 for the detection of Helicobacter pylori, NO for the diagnosis of asthma, etc., and currently there are also tests for the diagnosis of lung cancer, esophageal and gastric cancer. , breast cancer research. [0003] The basic principle of detecting specific diseases through exhaled breath analysis is: the exhaled gas of the human body is through the blood circulation...

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Application Information

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IPC IPC(8): G01N30/02G01N30/86
CPCG01N30/02G01N30/8682
Inventor 李强谢天鹏田博向润戴维
Owner SICHUAN CANCER HOSPITAL
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