Index abnormity early warning method and device based on human body expiration analysis

Abstract

The invention relates to an index abnormity early warning method based on human expiration analysis, and the method comprises the following steps: obtaining human expiration, and carrying out the component analysis of the human expiration to obtain related indexes; for any index in the related indexes, reading a baseline threshold value corresponding to the index based on a pre-established mapping relation; judging whether the index exceeds a corresponding baseline threshold value, if so, directly judging that the index is abnormal and carrying out abnormal early warning, and if not, carrying out the following further judgment; when no index exceeding the corresponding baseline threshold value exists in the related indexes, forming a first array by the obtained related indexes according to a preset sequence, and forming a second array by the corresponding baseline threshold values according to the preset sequence; calculating a difference value between the first array and the second array; and judging whether the difference value is smaller than a difference threshold value, if so, indicating that no abnormity exists, and if not, indicating that abnormity exists and carrying out abnormity early warning. According to the invention, accurate early warning guidance can be provided for the abnormal human body expiration index for the user.

Description

Technical Field

[0001] The present invention relates to the technical field related to human exhaled gas analysis, and particularly to a method and device for abnormal index warning based on human exhaled gas analysis. Background Art

[0002] Human exhaled gas analysis (also known as exhalation detection or exhaled gas analysis) is a non-invasive physiological monitoring method. Generally, by analyzing the components in the exhaled gas, such as gas concentrations (such as carbon dioxide, oxygen, nitrogen, etc.), volatile organic compounds (VOCs), ammonia, ethanol, etc., to evaluate the health status, diagnose diseases or perform real-time monitoring.

[0003] Currently, the abnormal index warning methods for human exhaled gas analysis on the market often rely on setting simple thresholds. This method can indeed identify obvious abnormal situations, but for some initially unobvious abnormal index situations, it often lacks reference significance and cannot provide users with relatively accurate warning guidance. Summary of the Invention

[0004] The purpose of the present invention is to at least solve one of the deficiencies of the prior art and provide a method for abnormal index warning based on human exhaled gas analysis.

[0005] To achieve the above purpose, the present invention adopts the following technical solutions:

[0006] Specifically, a method for abnormal index warning based on human exhaled gas analysis is proposed, including the following:

[0007] Obtain human exhaled gas and perform component analysis on the human exhaled gas to obtain relevant indicators;

[0008] For any index in the relevant indicators, read the baseline threshold corresponding to the index based on the pre-established mapping relationship;

[0009] Judge whether the index exceeds its corresponding baseline threshold. If so, directly determine that the index is abnormal and issue an abnormal warning. If not, perform the following further judgment;

[0010] When none of the indexes in the relevant indexes exceed their corresponding baseline thresholds, form the obtained relevant indexes into a first array in a preset order, and form the corresponding baseline thresholds into a second array in the preset order;

[0011] Calculate the difference value between the first array and the second array;

[0012] Judge whether the difference value is less than the difference threshold. If so, it means that there is no abnormality. If not, it means that there is an abnormality and an abnormal warning is issued.

[0013] Further, specifically, human exhaled breath is obtained by an exhaled breath analysis instrument, and the components of the human exhaled breath are analyzed to obtain relevant indicators, where the relevant indicators include carbon dioxide concentration, oxygen concentration, nitrogen, volatile organic compounds, ammonia, ethanol, and exhaled nitric oxide.

[0014] Further, specifically, the process of establishing the mapping relationship is as follows.

[0015] By collecting exhaled breath data of a large number of healthy people and performing component analysis to obtain relevant indicators, the average value of these sample data is calculated to obtain the baseline threshold of each indicator, and then a mapping relationship is established between each indicator and its baseline threshold.

[0016] Further, specifically, calculating the difference value between the first array and the second array includes:

[0017] Denote the first array as (x1, x2,..., x n ), the second array as (y1, y2,..., y n ), and n is the total number of relevant indicators;

[0018] Calculate the difference between each dimension of the first array and the second array to obtain a difference array, and any element of the difference array is d i and d i = x i - y i where i ∈ [1, n];

[0019] Square d i to obtain the square difference between each dimension of the first array and the second array to obtain a square difference array, and any element of the square difference array is d i 2 ;

[0020] Then the calculation of the difference value between the first array and the second array is as follows.

[0021]

[0022] The present invention also proposes an index anomaly warning device based on human exhaled breath analysis, including the following:

[0023] A data acquisition module, configured to acquire human exhaled breath and perform component analysis on the human exhaled breath to obtain relevant indicators;

[0024] A threshold determination module, configured to read the baseline threshold corresponding to any indicator among the relevant indicators based on a pre-established mapping relationship;

[0025] Anomaly warning module, used to determine whether the indicator exceeds its corresponding baseline threshold. If so, directly determine that the indicator is abnormal and issue an anomaly warning. If not, perform the following further judgment;

[0026] When none of the relevant indicators exceed their corresponding baseline thresholds, the obtained relevant indicators are formed into a first array in a preset order, and the corresponding baseline thresholds are formed into a second array in the preset order;

[0027] Calculate the difference value between the first array and the second array;

[0028] Determine whether the difference value is less than the difference threshold. If so, it indicates that there is no anomaly. If not, it indicates that there is an anomaly and issue an anomaly warning.

[0029] Furthermore, specifically, human exhalation is obtained through an exhaled breath analyzer, and the components of the human exhalation are analyzed to obtain relevant indicators, where the relevant indicators include carbon dioxide concentration, oxygen concentration, nitrogen, volatile organic compounds, ammonia, ethanol, and exhaled nitric oxide.

[0030] Furthermore, specifically, the establishment process of the mapping relationship is as follows,

[0031] By collecting exhalation data of a large number of healthy people and performing component analysis to obtain relevant indicators, the average value of these sample data is calculated to obtain the baseline threshold of each indicator, and then a mapping relationship is established between each indicator and its baseline threshold.

[0032] Furthermore, specifically, calculating the difference value between the first array and the second array includes,

[0033] Denote the first array as (x1, x2,..., x n ), the second array as (y1, y2,..., y n ), and n is the total number of relevant indicators;

[0034] Calculate the difference between each dimension of the first array and the second array to obtain a difference array, and any element of the difference array is d i , and d i =x i -y i , i ∈ [1, n];

[0035] Square d i to obtain the square difference between each dimension of the first array and the second array to obtain a square difference array, and any element of the square difference array is d i 2 ;

[0036] Then the calculation of the difference value between the first array and the second array is as follows,

[0037]

[0038] The beneficial effects of the present invention are as follows:

[0039] The present invention provides a method and device for early warning of abnormal indicators based on human exhaled breath analysis. First, each indicator is judged individually by a traditional method using a baseline threshold, and an early warning of abnormality is given if the threshold is exceeded. If no early warning of abnormality appears in the threshold method, then the overall difference value between the data to be monitored and the baseline threshold data is calculated. If the difference value is too large, it is also considered that there is an abnormality, and an alarm of abnormality is given. The method for early warning of abnormal indicators based on human exhaled breath analysis proposed by the present invention can more accurately predict the abnormality of human exhaled breath components and give an early warning when there is an abnormality, and can provide relatively accurate early warning guidance to users. Brief Description of the Drawings

[0040] By describing the embodiments shown in the accompanying drawings in detail, the above and other features of the present disclosure will become more apparent. The same reference numerals in the drawings of the present disclosure represent the same or similar elements. Obviously, the drawings in the following description are only some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0041] Figure 1 It shows a flowchart of the method for early warning of abnormal indicators based on human exhaled breath analysis of the present invention. Detailed Embodiments

[0042] The following will clearly and completely describe the concept, specific structure and technical effects generated by the present invention in combination with embodiments and drawings, so as to fully understand the purpose, solution and effects of the present invention. It should be noted that, without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The same reference numerals used throughout the drawings indicate the same or similar parts.

[0043] Embodiment 1, referring to Figure 1 , the present invention provides a method for early warning of abnormal indicators based on human exhaled breath analysis, including the following:

[0044] Step 110: Obtain human exhaled breath and perform component analysis on the human exhaled breath to obtain relevant indicators;

[0045] Step 120: For any indicator among the relevant indicators, read the baseline threshold corresponding to the indicator based on a pre-established mapping relationship;

[0046] Step 130: Determine whether the indicator exceeds its corresponding baseline threshold. If so, directly determine that the indicator is abnormal and issue an abnormal warning. If not, perform the following further judgment;

[0047] Step 140: When none of the relevant indicators exceed their corresponding baseline thresholds, form the obtained relevant indicators into a first array in a preset order, and form the corresponding baseline thresholds into a second array in the preset order (where the baseline thresholds are determined by pre-experimentation);

[0048] Step 150: Calculate the difference value between the first array and the second array;

[0049] Step 160: Determine whether the difference value is less than the difference threshold. If so, it indicates that there is no abnormality. If not, it indicates that there is an abnormality and issue an abnormal warning.

[0050] In this Embodiment 1, first, each indicator is judged individually by the traditional method using the baseline threshold. If there is a situation where the threshold is exceeded, an abnormal warning is issued; later, if no abnormal warning appears in the threshold method, then the overall difference value between the data to be monitored and the baseline threshold data is calculated. If the difference value is too large, it is also considered that there is an abnormality and an abnormal alarm is issued. The method for abnormal warning of indicators in human exhalation analysis proposed by the present invention can more accurately predict the abnormality of human exhalation components and issue a warning when there is an abnormality, and can give users relatively accurate warning guidance.

[0051] In a preferred embodiment of the present invention, specifically, human exhalation is obtained by an exhalation analysis instrument, and the components of the human exhalation are analyzed to obtain relevant indicators, where the relevant indicators include carbon dioxide concentration, oxygen concentration, nitrogen, volatile organic compounds, ammonia, ethanol, and exhaled nitric oxide.

[0052] In this preferred embodiment, considering that common exhalation analysis indicators include:

[0053] Carbon dioxide concentration (CO2): Reflects the ventilation volume and metabolic status of respiration.

[0054] Oxygen concentration (O2): Used to evaluate pulmonary gas exchange and oxygenation.

[0055] Nitrogen (N2): Related to alveolar ventilation and gas exchange, often used for dynamic monitoring.

[0056] Volatile organic compounds (VOCs): Some VOCs (such as ethanol, acetone, etc.) are related to metabolic diseases (such as diabetes, liver diseases).

[0057] Ammonia (NH3): Changes in ammonia concentration are common in liver and kidney diseases.

[0058] Ethanol (C2H5OH): Usually used for detecting alcohol intake.

[0059] Exhaled nitric oxide (NO): Used to evaluate the inflammatory response of the respiratory tract, especially asthma;

[0060] Therefore, for the above data acquisition, appropriate exhaled gas analysis instruments are additionally selected, such as portable exhaled gas analyzers, gas sensor arrays, gas chromatograph-mass spectrometers, etc. These instruments can accurately measure various components in exhaled gas. The subject exhales through a specific device (such as a gas analyzer), and the device records the concentration of gas components in each exhalation and converts it into data. Usually, multiple samplings are carried out to ensure the accuracy of the results.

[0061] In a preferred embodiment of the present invention, specifically, the establishment process of the mapping relationship is as follows.

[0062] By collecting exhaled gas data of a large number of healthy people and performing component analysis to obtain relevant indicators, the average value of these sample data is calculated to obtain the baseline threshold of each indicator, and then a mapping relationship is established between each indicator and its baseline threshold.

[0063] In this preferred embodiment, by collecting exhaled gas data of a large number of healthy people, a healthy "baseline model" is established, and then the baseline threshold of relevant indicators is obtained, and a mapping relationship is established between each indicator and its baseline threshold.

[0064] In a preferred embodiment of the present invention, specifically, calculating the difference value between the first array and the second array includes:

[0065] Denote the first array as (x1, x2,..., x n ), the second array as (y1, y2,..., y n ), and n is the total number of relevant indicators;

[0066] Calculate the difference between each dimension of the first array and the second array to obtain a difference array, and any element of the difference array is d i , and d i = x i - y i , i ∈ [1, n];

[0067] Perform a square operation on d i to obtain the square difference between each dimension of the first array and the second array to obtain a square difference array, and any element of the square difference array is d i 2 ;

[0068] Then the calculation of the difference value between the first array and the second array is as follows.

[0069]

[0070] In this preferred embodiment, when there is no abnormal warning in the threshold mode, the overall difference value between the data to be monitored and the baseline threshold data is calculated. If the difference value is too large, it is also considered that there is an abnormality, and an abnormal alarm is given.

[0071] The present invention also provides an abnormal warning device for index based on human exhaled breath analysis, including the following:

[0072] A data acquisition module for acquiring human exhaled breath and analyzing the components of the human exhaled breath to obtain relevant indexes;

[0073] A threshold determination module for reading the baseline threshold corresponding to any index among the relevant indexes based on a pre-established mapping relationship;

[0074] An abnormal warning module for determining whether the index exceeds its corresponding baseline threshold. If so, it directly determines that the index is abnormal and gives an abnormal warning. If not, the following further judgment is made;

[0075] When none of the relevant indexes exceed their corresponding baseline thresholds, the obtained relevant indexes are combined into a first array in a preset order, and the corresponding baseline thresholds are combined into a second array in the preset order;

[0076] Calculate the difference value between the first array and the second array;

[0077] Judge whether the difference value is less than the difference threshold. If so, it means that there is no abnormality. If not, it means that there is an abnormality and an abnormal warning is given.

[0078] In Embodiment 2 of the present invention, which is consistent with the abnormal warning method for indexes based on human exhaled breath analysis proposed by the present invention, first, each index is judged singly by the traditional method with the baseline threshold. If there is a situation where the threshold is exceeded, an abnormal warning is given; then, if there is no abnormal warning in the threshold mode, the overall difference value between the data to be monitored and the baseline threshold data is calculated. If the difference value is too large, it is also considered that there is an abnormality, and an abnormal alarm is given. The abnormal warning method for indexes based on human exhaled breath analysis proposed by the present invention can more accurately predict the abnormality of human exhaled breath components and give a warning when there is an abnormality, and can give relatively accurate warning guidance to users.

[0079] In the preferred embodiment of the present invention, specifically, human exhaled breath is acquired by an exhaled breath analysis instrument, and the components of the human exhaled breath are analyzed to obtain relevant indexes, where the relevant indexes include carbon dioxide concentration, oxygen concentration, nitrogen, volatile organic compounds, ammonia, ethanol, and exhaled nitric oxide.

[0080] In a preferred embodiment of the present invention, specifically, the process of establishing the mapping relationship is as follows.

[0081] By collecting the exhalation data of a large number of healthy people and performing component analysis to obtain relevant indicators, the average value of these sample data is calculated to obtain the baseline threshold of each indicator, and then the mapping relationship between each indicator and its baseline threshold is established.

[0082] In a preferred embodiment of the present invention, specifically, calculating the difference value between the first array and the second array includes:

[0083] Denote the first array as (x1, x2,..., x n ), the second array as (y1, y2,..., y n ), and n is the total number of relevant indicators;

[0084] Calculate the difference between each dimension of the first array and the second array to obtain a difference array, and any element of the difference array is d i , and d i = x i - y i , i ∈ [1, n];

[0085] Square d i to obtain the square difference between each dimension of the first array and the second array to obtain a square difference array, and any element of the square difference array is d i 2 ;

[0086] Then the calculation of the difference value between the first array and the second array is as follows:

[0087]

[0088] Although the description of the present invention has been quite detailed and several of the described embodiments have been described in particular, it is not intended to be limited to any of these details or embodiments or any particular embodiment, but rather it should be regarded as providing a broad possible interpretation of these claims in light of the prior art by reference to the appended claims, so as to effectively cover the intended scope of the present invention. In addition, the present invention is described above in terms of embodiments foreseeable by the inventor in order to provide a useful description, and those non-substantive modifications to the present invention that are not currently foreseeable may still represent equivalent modifications of the present invention.

[0089] The above is only a preferred embodiment of the present invention. The present invention is not limited to the above-described embodiments. As long as it achieves the technical effects of the present invention by the same means, it should fall within the protection scope of the present invention. Within the protection scope of the present invention, various different modifications and variations may be made to its technical solutions and / or embodiments.

Claims

1. An abnormal warning method for indicators based on human exhaled breath analysis, characterized in that, Including the following: Obtain human exhaled breath and perform component analysis on the human exhaled breath to obtain relevant indicators; For any of the relevant indicators, read the baseline threshold corresponding to the indicator based on a pre-established mapping relationship; Determine whether the indicator exceeds its corresponding baseline threshold. If so, directly determine that the indicator is abnormal and issue an abnormal warning. If not, perform the following further judgment; When none of the relevant indicators exceed their corresponding baseline thresholds, form the obtained relevant indicators into a first array in a preset order, and form the corresponding baseline thresholds into a second array in the preset order; Calculate the difference value between the first array and the second array; Determine whether the difference value is less than the difference threshold. If so, it indicates that there is no abnormality. If not, it indicates that there is an abnormality and issue an abnormal warning.

2. The method for abnormal index early warning based on human exhaled gas analysis according to claim 1, characterized in that, Specifically, obtain human exhaled breath through an exhaled breath analysis instrument and perform component analysis on the human exhaled breath to obtain relevant indicators, where the relevant indicators include carbon dioxide concentration, oxygen concentration, nitrogen, volatile organic compounds, ammonia, ethanol, exhaled nitric oxide.

3. The method for abnormal index early warning based on human exhaled breath analysis according to claim 1, wherein Specifically, the process of establishing the mapping relationship is as follows Collect exhaled breath data of a large number of healthy people, perform component analysis to obtain relevant indicators, calculate the average value of these sample data to obtain the baseline threshold of each indicator, and then establish a mapping relationship between each indicator and its baseline threshold.

4. The abnormal index warning method based on human exhaled breath analysis according to claim 1, characterized in that, Specifically, calculating the difference value between the first array and the second array includes Let the first array be (x1, x2,..., x n ), and the second array be (y1, y2,..., y n ), where n is the total number of relevant indicators; Calculate the differences between each dimension of the first array and the second array to obtain a difference array, and any element of the difference array is d i , and d i = x i - y i , i ∈ [1, n]; For d i Squaring it gives the squared differences between each dimension of the first array and the second array to obtain a squared difference array, and any element of the squared difference array is d i 2 ; Then the calculation of the difference value between the first array and the second array is as follows 5. An abnormal warning device for indicators based on human exhaled breath analysis, characterized in that Including the following: A data acquisition module for obtaining human exhaled breath and performing component analysis on the human exhaled breath to obtain relevant indicators; A threshold determination module for reading the baseline threshold corresponding to an indicator based on a pre-established mapping relationship for any of the relevant indicators; An abnormal warning module for determining whether the indicator exceeds its corresponding baseline threshold. If so, directly determine that the indicator is abnormal and issue an abnormal warning. If not, perform the following further judgment; When none of the relevant indicators exceed their corresponding baseline thresholds, form the obtained relevant indicators into a first array in a preset order, and form the corresponding baseline thresholds into a second array in the preset order; Calculate the difference value between the first array and the second array; Determine whether the difference value is less than the difference threshold. If so, it indicates that there is no abnormality. If not, it indicates that there is an abnormality and issue an abnormal warning.

6. The abnormal index warning device based on human exhalation analysis according to claim 5, characterized in that, Specifically, obtain human exhaled breath through an exhaled breath analysis instrument and perform component analysis on the human exhaled breath to obtain relevant indicators, where the relevant indicators include carbon dioxide concentration, oxygen concentration, nitrogen, volatile organic compounds, ammonia, ethanol, exhaled nitric oxide.

7. The abnormal index warning device based on human exhalation analysis according to claim 5, characterized in that Specifically, the process of establishing the mapping relationship is as follows Collect exhaled breath data of a large number of healthy people, perform component analysis to obtain relevant indicators, calculate the average value of these sample data to obtain the baseline threshold of each indicator, and then establish a mapping relationship between each indicator and its baseline threshold.

8. The abnormal index warning device based on human exhalation analysis according to claim 5, wherein, Specifically, calculating the difference value between the first array and the second array includes Let the first array be (x1, x2,..., x n ), and the second array be (y1, y2,..., y n ), where n is the total number of relevant indicators; Calculate the differences between each dimension of the first array and the second array to obtain a difference array, where any element of the difference array is d i , and d i = x i - y i , i ∈ [1, n]; For d i Squaring it gives the squared difference between each dimension of the first array and the second array, resulting in a squared difference array, where any element of the squared difference array is d i 2 ; Then the calculation of the difference value between the first array and the second array is as follows

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