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Method and system for detecting COVID-2019 pneumonia

A COVID-2019, coronavirus technology, applied in the fields of biomedicine and data processing, can solve the problems of human discomfort, time-consuming, cumbersome sampling process, etc., to achieve the effect of good compliance and low cost

Pending Publication Date: 2020-07-14
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the inventors found that the use of real-time fluorescent RT-PCR or viral genome sequencing requires high technology, equipment, and operators, and takes a long time. At the same time, the sampling process is cumbersome and easily causes discomfort to the human body; while specific antibody detection requires longer window period

Method used

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  • Method and system for detecting COVID-2019 pneumonia
  • Method and system for detecting COVID-2019 pneumonia
  • Method and system for detecting COVID-2019 pneumonia

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Experimental program
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Effect test

Embodiment 1

[0080] Firstly, the basic sign information of non-COVID-19 patients was collected and the concentration of exhaled NO was measured. The parameter setting and process of NO concentration test are as follows:

[0081] The NO concentration is measured by an exhaled NO detector at room temperature and in an environment with a relative humidity range not greater than 80%. The testers recorded the basic physical information such as height, weight, age, and gender of the non-COVID-19 patients, and measured the NO concentration in the exhaled breath.

[0082] The testers also measured the height, weight, age, gender, etc. of the patients with new coronary pneumonia, and also measured information such as the concentration of NO in their exhaled breath.

[0083] use as Figure 7 The BP neural network shown is trained on the collected data. The neural network consists of four layers: the input layer, the first hidden layer, the second hidden layer, and the output layer. The input lay...

Embodiment 2

[0086] Firstly, the basic sign information of non-COVID-19 patients was collected and the concentration of exhaled NO was measured. The parameter setting and process of NO concentration test are as follows:

[0087] The NO concentration is measured by an exhaled NO detector at room temperature and in an environment with a relative humidity range not greater than 80%. The testers recorded the basic physical information such as height, weight, age, and gender of the non-COVID-19 patients, and measured the NO concentration in the exhaled breath.

[0088] The testers also measured the height, weight, age, gender, etc. of the patients with new coronary pneumonia, and also measured information such as the concentration of NO in their exhaled breath.

[0089] use as Figure 7 The BP neural network shown is trained on the collected data. The neural network consists of four layers: the input layer, the first hidden layer, the second hidden layer, and the output layer. The input lay...

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Abstract

The invention provides a method and a system for detecting COVID-2019 pneumonia, which belongs to the technical field of biomedicine and data processing. Expiratory NO concentration detection is carried out on a non-new coronal pneumonia patient, statistics of basic human body characteristic information is carried out, a mathematical model between the expiratory NO concentration and the basic characteristics of the human body is established, expiratory NO data of the suspected new coronal pneumonia patient are analyzed by using the mathematical model, whether a subject is sick or not is thus judged, the problem of discomfort of a human body caused by traditional nucleic acid detection sampling is effectively solved, and the method has the advantages of low cost, rapidness, no damage and the like, causes no pain to the subject, is good in compliance, is particularly suitable for being applied to large-scale preliminary screening work of suspected COVID-19 patients, and has good practical application value.

Description

technical field [0001] The invention belongs to the technical field of biomedicine and data processing, and in particular relates to a method and system for detecting novel coronavirus COVID-2019 pneumonia. Background technique [0002] The information disclosed in this background section is only intended to increase the understanding of the general background of the present invention, and is not necessarily taken as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to those skilled in the art. [0003] A new type of coronavirus, named "SARS-CoV-2" by the International Committee on Taxonomy of Viruses. This is the seventh coronavirus currently found in humans. On February 11, 2020, the World Health Organization's Global Research and Innovation Forum held in Geneva officially named the disease caused by the new coronavirus as COVID-19. [0004] According to the regulations of the current diagnosis and treatment plan for...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/48G06N3/04G06N3/06G06N3/08
CPCG01N33/48G06N3/061G06N3/08G06N3/045
Inventor 邓伟侨杨丽周威孙磊
Owner SHANDONG UNIV
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