Human health assessment method and prediction system based on expiration detection

Abstract

The invention relates to the technical field of expiration detection, in particular to a human health assessment method and prediction system based on expiration detection, and discloses novel expiration detection equipment which is applied to the fields of human health assessment, disease screening, clinical diagnosis and the like. According to the method, expiration detection is carried out on people in one area, the concentration of VOCs in the expired gas of the human body is analyzed according to the divided areas, the VOCs concentration content value of people in one area is obtained, the health of the human body in the area is analyzed according to the VOCs concentration content values in the different areas, detection of the health affected by environmental factors can be increased, and the detection efficiency is improved. The VOCs concentration content value can be prevented from being affected by environmental factors in the detection process according to the environment of the located area, the accuracy of human health detection is improved, meanwhile, human health prediction is added, and the risk that people suffer from sudden diseases is greatly reduced.

Description

Technical Field

[0001] The present application relates to the technical field of breath detection, and in particular to a human health assessment method and prediction system based on breath detection. Background Art

[0002] The detection of human exhaled gas is now a common detection method. However, in the detection process, since it is a gas, there are certain difficulties in sampling. It is not known whether the sample has been obtained in the sampling bag, or whether the sample meets the detection requirements, which is quite troublesome. And the collected gas still needs to be qualitatively and quantitatively analyzed. The breath analysis methods reported so far are mostly static, and quantitative determination is more difficult. The quantitative method and accurate determination of endogenous volatile organic compounds (VOCs) in human exhaled gas need further exploration. At present, human health examinations are usually carried out by physical examinations of various parts of the human body, which has a long cycle and is expensive. Therefore, there is an urgent need for a method and prediction system that can evaluate human health in life to help people pay attention to their health problems earlier in daily life. Summary of the invention

[0003] A human health assessment method based on breath detection, the method comprising the following steps:

[0004] S100: Collect human exhaled gas and detect the concentration of several compounds in the gas;

[0005] S200: Detect the content and relative proportion of common endogenous VOCs in the human body, and establish a data model based on the sample;

[0006] S300: Expand the scope of collecting human exhaled gas and make comparative analysis;

[0007] S400: Evaluate the health status of the human body through analysis.

[0008] Furthermore, in step S100, human exhaled gas is collected from healthy people in a city, and a source database is constructed by collecting human exhaled gas collection data from the healthy people. The human exhaled gas collection data of the obviously unhealthy part in the database is screened through group investigation, screening and sample classification. The method for obtaining the human exhaled gas collection data is as follows: human exhaled gas is defined as VOCs, the VOCs are defined as samples, the VOCs molecular ion peaks are qualitatively confirmed by high-resolution mass spectrometry, and the human exhaled gas collection data is obtained by quantitative analysis of VOCs.

[0009] Furthermore, in step S200, a comparative analysis of the human exhaled gas collection data is performed, and a new VOCs quantitative analysis method is established by introducing the collected human exhaled gas and combining it with a specific internal standard to determine the content and proportion of characteristic VOCs in the sample. Combined with the grouping of the research cohort and the detection results of VOCs in the exhaled gas, a data model is established and constructed.

[0010] Furthermore, in step S300, the application scenario is further expanded, a number of sampling points are arranged, the VOCs database of healthy people is expanded, the local climate is obtained and the health quality of the regional population is reflected, the device is deployed in the laboratory and wards of the hospital, and breath samples are collected from patients with different diseases. By comparing the VOCs data of healthy people with the VOCs of patients with specific diseases, the exhaled VOCs data of patients with specific diseases are analyzed and compared with the exhaled VOCs data of healthy people, and the correlation between the characteristic VOCs content and proportion and one or several specific diseases is found.

[0011] Furthermore, in step S400, the main steps of evaluating the health status of the human body through analysis include:

[0012] The VOCs are divided into regions, and the VOCs concentrations in the regions are recorded as t l ,t i ,t n and t p And the ratio P of the VOCs concentration in the region to the whole is obtained by calculation. The t is t l ,t i ,t n and t p Any value in, L is the average concentration of the overall VOCs concentration, and the ratio of the VOCs concentration in each area to the overall average concentration is calculated. l )、P(t i )、P(t n ) and P(t p ), and the ratio P is screened to obtain the maximum value P(max) and the minimum value P(min) of the ratio P, and the regional weight value AMKR is calculated by the ratio P. The calculation method of AMKR is:

[0013]

[0014] The ln function is a function for taking natural logarithms, and the abs function is a function for finding absolute values.

[0015] Furthermore, the corresponding area is individually judged as a whole, and the judgment result is scored. The specific steps are as follows:

[0016] The divided area is further divided into each individual, and the content in each video segment is set to reach the corresponding VOCs concentration to obtain a preliminary score value, and the VOCs concentration is subdivided into four main detection gas concentrations: F1, F2, F3, and F4. Among the four main detection gas concentrations, F1 represents hydrocarbons, F2 represents alcohols, F3 represents aldehydes and ketones, and F4 represents aromatic, ester and nitrile compounds. The score value is obtained according to the corresponding weight relationship to obtain the overall preliminary score value. The formula for obtaining is:

[0017]

[0018] The VOCs concentration obtained by the above formula is subdivided into four preliminary evaluation scores of the main detection gas concentrations X l , X i , X n and X p , the F i Indicates F1, F2, F3, F4. The preliminary score of VOCs concentration is calculated through the above preliminary score calculation:

[0019]

[0020] The initial evaluation score of each category in VOCs concentration is X l , X i , X n and X p The variance calculation is performed to obtain the preliminary score S of the VOCs concentration. i is the value of the ratio P of the VOCs concentration in the region to the overall average concentration at time t=tj;

[0021] By preliminary judgment, the VOCs concentration is divided into regions. Each different gas concentration defines T (airy k ), H(airy k ), P(airy k ), B(airy k ), construct the matrix [airy], airy k The kth region of the matrix [airy] is used to find the VOCs concentration difference T in each region. ` k , H ` k , P ` k , B ` k , T ` k =(T(airy k+1 )-T(airy k )), H `k =(H(airy k+1 )-H(airy k )), P ` k =(P(airy k+1 )-P(airy k )), B ` k =(B(airy k+1 )-B(airy k )), the health concentration ratio index M of the current area can be determined by calculating the VOCs concentration difference of the four concentrations in each area. Where m and n are the total number of row ranks and column ranks of the matrix [airy], respectively. According to the above formula, MH, MP, and MB are obtained respectively. Among them, mean(airy k ) represents the mean of four concentrations, max(T(airy k ), H(airy k ), P(airy k ), B(airy k )) is to take the maximum value among the four concentrations in the current area;

[0022] Combined with the preliminary score of VOCs concentration, the health ratio judgment coefficient is calculated: F = s + (MT + MH + MP + MB) 2 ,

[0023] Determine the change in VOCs concentration, when mean(airy k )≤F, and the single VOCs concentration is equal to mean(airy k ) is not much different, the VOCs concentration value is in a reasonable range, and the VOCs concentration relationship ratio F is a reasonable ratio. k ), it means that the VOCs concentration in the area is relatively dense and the VOCs concentration is relatively large. Continue to detect and determine whether the VOCs concentration in the area is still increasing at this time. If the VOCs concentration is still increasing at this time, then specifically analyze the single VOCs concentration, and do not use F to judge the health indicators of the human body in the current area. If the concentration decreases, the ratio F is a reasonable ratio.

[0024] A human health assessment and prediction system based on breath detection, the device comprising: a collection device, an analysis device and a prediction device, the collection device, the analysis device and the prediction device are electrically connected to each other, and the collection device, the analysis device and the prediction device are operated in a processor, the data generated by the collection device, the analysis device and the prediction device are stored in a memory, and the collection device, the analysis device and the prediction device, the processor and the memory implement the steps of any one of the above-mentioned methods for quantitative analysis of human exhaled gas when executing the computer program.

[0025] The beneficial effects of the present invention are as follows: by conducting breath detection on people in an area and analyzing the VOCs concentration in the human exhaled gas according to the divided areas, the VOCs concentration content values ​​of people in an area are obtained, and the human health in the area is analyzed according to the VOCs concentration content values ​​in different areas, which can increase the detection of health affected by environmental factors, and according to the environment of the area, it can also avoid the VOCs concentration content values ​​being affected by environmental factors during the detection process, thereby increasing the accuracy of human health detection, while increasing the prediction of human health, and greatly reducing the risk of people suffering from sudden diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The above and other features of the present invention will become more obvious by describing in detail the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings of the present invention represent the same or similar elements. It is obvious that the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0027] In the figure:

[0028] Figure 1 The figure shows a human health assessment method and prediction system based on breath detection. DETAILED DESCRIPTION

[0029] The following will be combined with the embodiments and drawings to clearly and completely describe the concept, specific structure and technical effects of the present invention, so as to fully understand the purpose, scheme and effect of the present invention. It should be noted that the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0030] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0031] like Figure 1 As shown, a human health assessment method based on breath detection comprises the following steps:

[0032] S100: Collect human exhaled gas and detect the concentration of several compounds in the gas;

[0033] S200: Detect the content and relative proportion of common endogenous VOCs in the human body, and establish a data model based on the sample;

[0034] S300: Expand the scope of collecting human exhaled gas and make comparative analysis;

[0035] S400: Evaluate the health status of the human body through analysis.

[0036] Furthermore, in step S100, human exhaled gas is collected from healthy people in a city, and a source database is constructed by collecting human exhaled gas collection data from the healthy people. The human exhaled gas collection data of the obviously unhealthy part in the database is screened through group investigation, screening and sample classification. The method for obtaining the human exhaled gas collection data is as follows: human exhaled gas is defined as VOCs, the VOCs are defined as samples, the VOCs molecular ion peaks are qualitatively confirmed by high-resolution mass spectrometry, and the human exhaled gas collection data is obtained by quantitative analysis of VOCs.

[0037] Furthermore, in step S200, a comparative analysis of the human exhaled gas collection data is performed, and a new VOCs quantitative analysis method is established by introducing the collected human exhaled gas and combining it with a specific internal standard to determine the content and proportion of characteristic VOCs in the sample. Combined with the grouping of the research cohort and the detection results of VOCs in the exhaled gas, a data model is established and constructed.

[0038] Furthermore, in step S300, the application scenario is further expanded, a number of sampling points are arranged, the VOCs database of healthy people is expanded, the local climate is obtained and the health quality of the regional population is reflected, the device is deployed in the laboratory and wards of the hospital, and breath samples are collected from patients with different diseases. By comparing the VOCs data of healthy people with the VOCs of patients with specific diseases, the exhaled VOCs data of patients with specific diseases are analyzed and compared with the exhaled VOCs data of healthy people, and the correlation between the characteristic VOCs content and proportion and one or several specific diseases is found.

[0039] Furthermore, in step S400, the main steps of evaluating the health status of the human body through analysis include:

[0040] The VOCs are divided into regions, and the VOCs concentrations in the regions are recorded as t l ,t i ,t n and t p And the ratio P of the VOCs concentration in the region to the whole is obtained by calculation. The t is t l ,t i ,t n and t p Any value in, L is the average concentration of the overall VOCs concentration, and the ratio of the VOCs concentration in each area to the overall average concentration is calculated. l )、P(t i )、P(t n ) and P(t p ), and the ratio P is screened to obtain the maximum value P(max) and the minimum value P(min) of the ratio P, and the regional weight value AMKR is calculated by the ratio P. The calculation method of AMKR is:

[0041]

[0042] The ln function is a function for taking natural logarithms, and the abs function is a function for finding absolute values.

[0043] Furthermore, the corresponding area is individually judged as a whole, and the judgment result is scored. The specific steps are as follows:

[0044] The divided area is further divided into each individual, and the content in each video segment is set to reach the corresponding VOCs concentration to obtain a preliminary score value, and the VOCs concentration is subdivided into four main detection gas concentrations: F1, F2, F3, and F4. Among the four main detection gas concentrations, F1 represents hydrocarbons, F2 represents alcohols, F3 represents aldehydes and ketones, and F4 represents aromatic, ester and nitrile compounds. The score value is obtained according to the corresponding weight relationship to obtain the overall preliminary score value. The formula for obtaining is:

[0045]

[0046] The VOCs concentration obtained by the above formula is subdivided into four preliminary evaluation scores of the main detection gas concentrations X l , X i , X n and X p , the F i Indicates F1, F2, F3, F4. The preliminary score of VOCs concentration is calculated through the above preliminary score calculation:

[0047]

[0048] The initial evaluation score of each category in VOCs concentration is X l , X i , X n and X p The variance calculation is performed to obtain the preliminary score S of the VOCs concentration. i is the value of the ratio P of the VOCs concentration in the region to the overall average concentration at time t=tj;

[0049] By preliminary judgment, the VOCs concentration is divided into regions. Each different gas concentration defines T (airy k ), H(airy k ), P(airy k ), B(airy k ), construct the matrix [airy], airy k The kth region of the matrix [airy] is used to find the VOCs concentration difference T in each region. ` k , H ` k , P ` k , B ` k , T ` k =(T(airy k+1 )-T(airy k )), H ` k=(H(airy k+1 )-H(airy k )), P ` k =(P(airy k+1 )-P(airy k )), B ` k =(B(airy k+1 )-B(airy k )), the health concentration ratio index M of the current area can be determined by calculating the VOCs concentration difference of the four concentrations in each area. Where m and n are the total number of row ranks and column ranks of the matrix [airy], respectively. According to the above formula, MH, MP, and MB are obtained respectively. Among them, mean(airy k ) represents the mean of four concentrations, max(T(airy k ), H(airy k ), P(airy k ), B(airy k )) is to take the maximum value among the four concentrations in the current area;

[0050] Combined with the preliminary score of VOCs concentration, the health ratio judgment coefficient is calculated: F = s + (MT + MH + MP + MB) 2 ,

[0051] Determine the change in VOCs concentration, when mean(airy k )≤F, and the single VOCs concentration is equal to mean(airy k ) is not much different, the VOCs concentration value is in a reasonable range, and the VOCs concentration relationship ratio F is a reasonable ratio. k ), it means that the VOCs concentration in the area is relatively dense and the VOCs concentration is relatively large. Continue to detect and determine whether the VOCs concentration in the area is still increasing at this time. If the VOCs concentration is still increasing at this time, then specifically analyze the single VOCs concentration, and do not use F to judge the health indicators of the human body in the current area. If the concentration decreases, the ratio F is a reasonable ratio.

[0052] A human health assessment and prediction system based on breath detection, the device comprising: a collection device, an analysis device and a prediction device, the collection device, the analysis device and the prediction device are electrically connected to each other, and the collection device, the analysis device and the prediction device are operated in a processor, the data generated by the collection device, the analysis device and the prediction device are stored in a memory, and the collection device, the analysis device and the prediction device, the processor and the memory implement the steps of any one of the above-mentioned methods for quantitative analysis of human exhaled gas when executing the computer program.

[0053] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete component gate circuits or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various sub-areas of the entire system are connected using various interfaces and lines.

[0054] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the plant control system based on artificial neural network by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.), etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0055] Preferably, in the previous research, a method for directly performing qualitative and quantitative analysis on VOCs components collected in breathing bags was successfully established. This method does not require chromatographic separation, has a fast analysis speed (<5min), and uses low-energy EI to achieve qualitative confirmation of high-resolution molecular ion peaks. After improvement, it should be possible to achieve qualitative and quantitative analysis of trace VOCs in breathing gas.

[0056] The project aims to address the current situation that quantitative determination of breath analysis technology is difficult, and the quantitative method and accurate determination of endogenous characteristic VOCs need further research. Based on the clinical demand for non-invasive, rapid, simple and reliable diagnostic methods, the project conducts research and development of breath quantitative analysis methods and rapid testing equipment. Based on mass spectrometry analysis, the breath sample collection method is optimized, and the analysis and detection method is improved by "soft ionization + direct mass spectrometry". This solution connects the soft ionization source with the gas chromatography-mass spectrometer by physical means, and modifies it to reduce the size, producing a new breath detection equipment for non-invasive, rapid and simple online real-time breath detection of the human body.

[0057] The optimization of the breath sample collection method is based on two modes: oral exhalation mode and nasal exhalation mode. Two breath collection devices are built, namely oral exhalation and nasal exhalation. Oral exhalation sampling requires pinching the nose and blowing into a disposable straw with the mouth. For nasal exhalation sampling, a fixed device is required in the mouth, the disposable straw head is placed outside the nostril, and both nostrils are exhaled alternately. Compare the differences between oral exhalation and nasal exhalation, and use the breath collection setting with high detection sensitivity, small external air interference, and good data repeatability in the current environment as needed.

[0058] Use this technology to assess human health and screen for diseases, and improve the ability to detect and prevent diseases early. Place the equipment in the hospital laboratory and wards to collect breath samples from patients with different diseases. By comparing the VOCs data of healthy people with the VOCs of patients with specific diseases (such as viral pneumonia, fungal pneumonia, bacterial pneumonia, tuberculosis, lung cancer, etc.), explore the application potential of breath detectors in disease screening and diagnosis;

[0059] Hospitals can use breath testing equipment for clinical diagnosis, helping doctors to more accurately judge the condition and provide more effective treatment plans;

[0060] Patients can obtain timely health assessments and disease diagnoses through non-invasive and rapid breath testing, and improve their self-health awareness and management capabilities.

[0061] Although the description of the present invention has been quite detailed and has been described in particular with respect to several described embodiments, it is not intended to be limited to any of these details or embodiments or any particular embodiment, so as to effectively cover the intended scope of the present invention. In addition, the present invention is described above with the embodiments foreseeable by the inventors, and its purpose is to provide a useful description, and those non-substantial changes to the present invention that are not currently foreseen may still represent equivalent changes of the present invention.

Claims

1. A human health assessment method based on breath detection, characterized in that: The method comprises the following steps: S100: Collect human exhaled gas and detect the concentration of several compounds in the gas; S200: Detect the content and relative proportion of common endogenous VOCs in the human body, and establish a data model based on the sample; S300: Expand the range of human exhaled gas collection and make comparative analysis; S400: Evaluate the health status of the human body through analysis.

2. A human health assessment method based on breath detection according to claim 1, characterized in that: In step S100, human exhaled gas is collected from healthy people in a city, and a source database is constructed by collecting human exhaled gas data from the healthy people. The human exhaled gas collection data of the obviously unhealthy part in the database is screened through group investigation, screening and sample classification. The method for obtaining the human exhaled gas collection data is as follows: volatile organic compounds in human exhaled gas are defined as VOCs, the VOCs are defined as samples, the VOCs molecular ion peaks are qualitatively confirmed by high-resolution mass spectrometry, and the human exhaled gas collection data is obtained by quantitative analysis of VOCs.

3. A human health assessment method based on breath detection according to claim 1, characterized in that: In step S200, a comparative analysis is performed on the human exhaled gas collection data. By introducing the collected human exhaled gas and combining it with a specific internal standard, a new VOCs quantitative analysis method is established to determine the content and proportion of characteristic VOCs in the sample. Combined with the grouping of the research cohort and the detection results of VOCs in the exhaled gas, a data model is established and constructed.

4. A human health assessment method based on breath detection according to claim 1, characterized in that: In step S300, the application scenario is further expanded, a number of sampling points are arranged, the VOCs database of healthy people is expanded, the local climate is obtained and the health quality of the regional population is reflected, the device is deployed in the laboratory and wards of the hospital, and breath samples are collected from patients with different diseases. By comparing the VOCs data of healthy people with the VOCs of patients with specific diseases, the exhaled VOCs data of patients with specific diseases are analyzed and compared with the exhaled VOCs data of healthy people, and the correlation between the characteristic VOCs content and proportion and one or several specific diseases is found.

5. A human health assessment method based on breath detection according to claim 1, characterized in that: In step S400, the main steps of evaluating the health status of the human body through analysis include: The VOCs are divided into regions, and the VOCs concentrations in the regions are recorded as t l ,t i ,t n and t p And the ratio of VOCs concentration in the region to the whole is obtained by calculation, P = L t , the t is t l ,t i ,t n and t p Any value in, where L is the overall VOCs concentration average, the ratio of the VOCs concentration in each area to the overall average concentration is calculated P(t l )、P(t i )、P(t n ) and P(t p ), and the ratio P is screened to obtain the maximum value P(max) and the minimum value P(min) of the ratio P, and the regional weight value AMKR is calculated by the ratio P. The calculation method of AMKR is: The ln function is a function for taking natural logarithms, and the abs function is a function for finding absolute values.

6. A human health assessment method based on breath detection according to claim 5, characterized in that: An individual judgment is made on the entire corresponding area, and the judgment result is scored. The specific steps are as follows: The divided area is further divided into each individual, and the content in each video segment is set to reach the corresponding VOCs concentration to obtain a preliminary score value, and the VOCs concentration is subdivided into four main detection gas concentrations: F1, F2, F3, and F4. Among the four main detection gas concentrations, F1 represents hydrocarbons, F2 represents alcohols, F3 represents aldehydes and ketones, and F4 represents aromatic, ester and nitrile compounds. The score value is obtained according to the corresponding weight relationship to obtain the overall preliminary score value. The formula for obtaining is: The VOCs concentration obtained by the above formula is subdivided into four preliminary evaluation scores of the main detection gas concentrations X l , X i , X n and X p , the F i Indicates F1, F2, F3, F4. The preliminary score of VOCs concentration is calculated through the above preliminary score calculation: The initial evaluation score of each category in VOCs concentration is X l , X i , X n and X p The variance calculation is performed to obtain the preliminary score S of the VOCs concentration. i is the value of the ratio P of the VOCs concentration in the region to the overall average concentration at time t=tj; By preliminary judgment, the VOCs concentration is divided into regions. Each different gas concentration defines T (airy k ), H(airy k ), P(airy k ), B(airy k ), construct the matrix [airy], airy k For the kth region of the matrix [airy], find the VOCs concentration difference T` in each region k ,H` k ,P` k , B` k , T` k =(T(airy k+1 )-T(airy k )), H` k =(H(airy k+1 )-H(airy k )), P` k =(P(airy k+1 )-P(airy k )), B` k =(B(airy k+1 )-B(airy k )), the health concentration ratio index M of the current area can be determined by calculating the VOCs concentration difference of the four concentrations in each area. Where m and n are the total number of row ranks and column ranks of the matrix [airy], respectively. According to the above formula, MH, MP, and MB are obtained respectively. Among them, mean(airy k ) represents the mean of four concentrations, max(T(airy k ), H(airy k ), P(airy k ), B(airy k )) is to take the maximum value among the four concentrations in the current area; Combined with the preliminary score of VOCs concentration, the health ratio judgment coefficient is calculated: F = s + (MT + MH + MP + MB) 2 , Determine the change in VOCs concentration, when mean(airy k )≤F, and the single VOCs concentration is equal to mean(airy k ) is not much different, the VOCs concentration value is in a reasonable range, and the VOCs concentration relationship ratio F is a reasonable ratio. k ), it means that the VOCs concentration in the area is relatively dense and the VOCs concentration is relatively large. Continue to detect and determine whether the VOCs concentration in the area is still increasing at this time. If the VOCs concentration is still increasing at this time, then specifically analyze the single VOCs concentration, and do not use F to judge the health indicators of the human body in the current area. If the concentration decreases, the ratio F is a reasonable ratio.

7. A human health assessment and prediction system based on breath detection, characterized in that: The device includes: a collection device, an analysis device and a prediction device, the collection device, the analysis device and the prediction device are electrically connected to each other, and the collection device, the analysis device and the prediction device run in a processor, the collection device, the analysis device and the prediction device generate data and store it in a memory, and the collection device, the analysis device and the prediction device, the processor and the memory implement the steps of any one of the methods for quantitative analysis of human exhaled gas in claims 1-6 when executing the computer program.

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