CN112690787B - Noninvasive blood glucose screening system based on gas discharge imaging technology - Google Patents
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Abstract
The invention provides a noninvasive blood sugar screening system based on a gas discharge imaging technology, which comprises: the system comprises a GDV instrument, a meridian energy parameter acquisition module, a disease parameter and meridian energy parameter correlation analysis module, a mathematical model building module and a diabetes suffering score determination module; the method is used for screening the meridian energy parameters relevant to the diabetes diagnosis according to the finger tip glow images of the user, establishing a mathematical model according to the meridian energy parameters relevant to the diabetes diagnosis and the mathematical model, obtaining the diabetes suffering value tangent point according to the meridian energy parameters relevant to the diabetes diagnosis and the mathematical model, and determining the risk degree of the user suffering from the diabetes according to the diabetes suffering value tangent point. According to the non-invasive blood sugar screening system based on the gas discharge imaging technology, the diabetes suffering risk value and the corresponding conditioning suggestion can be obtained by collecting the pictures of the left and right fingers of the user, the coverage rate of diabetes screening can be improved, and a part of hidden or early diabetic patients can be discovered in time.
Description
Technical Field
The invention relates to the technical field of disease screening, in particular to a non-invasive blood sugar screening system based on a gas discharge imaging technology.
Background
Diabetes mellitus is a metabolic disorder characterized by chronic hyperglycemia due to various causes, has become the third most non-infectious disease after cardiovascular diseases and tumors in developed countries, and the number of patients thereof is rapidly increasing with the improvement of the living standard of people, the aging of the population, the change of life style and the progress of diagnostic technology. World surveys have shown that the population of diabetics worldwide has increased from 1.53 billion in 1980 to 3.82 billion in 2013. The age-normalized prevalence rate of diabetes in Chinese population (age 20 or more) has reached 9.7%, while the proportion of pre-diabetes is 15.5% higher, which is equivalent to one hyperglycemic state in every four adults. Diabetes has become one of the worldwide public health problems that seriously threaten human health.
In China, 60.7% of patients with diabetes cannot be treated as early as possible because of not being discovered early, and about 1 or more irreversible complications appear in about half of patients when the diabetes is diagnosed. The early screening of diabetes has important value for the prevention and control of diabetes and complications thereof, and the key steps of diabetes prevention and control are that the risk of diabetes is evaluated and the diabetes patient is found in the early stage.
One of the reasons many people have delayed the early detection of diabetes is the reluctance to perform a corresponding test. Most of clinical blood glucose monitoring adopts finger blood or venous blood, and is invasive detection, so that pain and psychological fear are brought to a detector, and the risk of infection is accompanied.
At present, various noninvasive detection methods in the market are mostly noninvasive blood glucose detection, the defect of invasive blood glucose detection is overcome, however, substances which react in an electrochemical method have service life limitation, need to be replaced periodically, some devices are large in size, and have limitations in carrying and operation, and in addition, the devices are mostly only used for blood glucose detection and are single in purpose. The common defects of the two methods are that the measurement precision is limited, false positive or false negative often appears, and the method cannot be popularized and applied on a large scale. Therefore, there is an urgent need for a non-invasive, simple and practical device for screening diabetes.
Disclosure of Invention
In view of the above, the invention provides a non-invasive blood glucose screening system based on a gas discharge imaging technology, and aims to solve the problem of low coverage rate of the existing diabetes screening.
The invention provides a non-invasive blood sugar screening system based on a gas discharge imaging technology, which comprises:
the GDV instrument is used for collecting glow images of the fingertips of the user; the meridian energy parameter acquisition module is electrically connected with the GDV instrument and is used for receiving and analyzing glow images of the fingertips of the user and acquiring glow energy parameters of twelve meridians of the user according to the glow images; the disease parameter and meridian energy parameter correlation analysis module is electrically connected with the meridian energy parameter acquisition module and is used for receiving glow energy parameters of twelve meridians of the user, performing correlation analysis on the glow energy parameters of the twelve meridians and the relevant indication parameters of diabetes, and screening out meridian energy parameters relevant to diabetes diagnosis; the mathematical model establishing module is electrically connected with the disease parameter and meridian energy parameter correlation analysis module and is used for receiving meridian energy parameters related to diabetes diagnosis and establishing a mathematical model according to the meridian energy parameters; the diabetes suffering value determining module is electrically connected with the disease parameter and meridian energy parameter correlation analysis module and the mathematical model establishing module, and is used for receiving the meridian energy parameters related to the diabetes diagnosis and obtaining a diabetes suffering value tangent point according to the meridian energy parameters related to the diabetes diagnosis and the mathematical model, so that the risk degree of the user suffering from diabetes is determined according to the diabetes suffering value tangent point.
Further, in the above non-invasive blood glucose screening system based on the gas discharge imaging technology, the linear model established by the mathematical model establishing module is:
y = -0.008 × HT +0.549 × LU +0.747 × LR +2.086 × SP-1.317 × KI-4.746 × PC +1.18 × SI +3.779 × LI-0.495 × GB-4.561 × SJ-0.325 × BL +11.242, wherein:
y is the value of diabetes, HT is the meridian energy value of the heart meridian of hand shaoyin, LU is the meridian energy value of the lung meridian of hand taiyin, LR is the meridian energy value of the liver meridian of foot jueyin, SP is the meridian energy value of the spleen meridian of foot taiyin, KI is the meridian energy value of the kidney meridian of foot shaoyin, PC is the meridian energy value of the pericardium meridian of hand jueyin, SI is the meridian energy value of the small intestine meridian of hand taiyang, LI is the meridian energy value of the large intestine meridian of hand yangming, GB is the meridian energy value of the gallbladder meridian of foot shaoyang, SJ is the meridian energy value of the triple energizer meridian of hand shaoyang, and BL is the meridian energy value of the bladder meridian of foot taiyang.
Further, in the above non-invasive blood glucose screening system based on the gas discharge imaging technology, the condition that the diabetes suffering score determining module determines the degree of diabetes risk is as follows:
when the diabetes suffering score is not less than the diabetes suffering score tangent point, outputting that the risk of diabetes suffering exists; when the diabetes suffering score is smaller than the diabetes suffering score tangent point, outputting that the diabetes suffering risk is smaller.
Further, in the above non-invasive blood glucose screening system based on the gas discharge imaging technology, the twelve meridian energy parameters include hand shaoyin heart meridian, hand taiyin lung meridian, foot jueyin liver meridian, foot taiyin spleen meridian, foot shaoyin kidney meridian, hand jueyin pericardium meridian, hand taiyang small intestine meridian, hand yangming large intestine meridian, foot shaoyang gallbladder meridian, foot yangming stomach meridian, hand shaoyang triple energizer meridian, and foot taiyang bladder meridian.
Further, in the non-invasive blood glucose screening system based on the gas discharge imaging technology, the system further includes: and the conditioning scheme module is electrically connected with the diabetes suffering score determining module and is used for determining a conditioning scheme corresponding to the risk degree from the pre-stored matching relationship between the diabetes diagnosis result and the conditioning scheme according to the risk degree of the diabetes suffering of the user determined by the diabetes suffering score determining module.
Further, in the above non-invasive blood glucose screening system based on the gas discharge imaging technology, the meridian energy parameter acquiring module includes: the finger glow belonging unit is used for receiving glow images of fingers of a user, dividing the glow images of the fingers into a plurality of sector images respectively, and belonging each local sector image to one or a plurality of channels and collaterals; and the glow energy parameter value calculating unit is used for calculating the gray value of each pixel point in the image area to which each meridian belongs according to the local sector image of each meridian to which each meridian belongs.
Further, in the above non-invasive blood glucose screening system based on the gas discharge imaging technology, the GDV apparatus includes: the upper side surface of the transparent discharge platform is in contact with a human body; the pulse high-voltage discharge generation module is arranged below the transparent discharge platform and is electrically connected with the transparent discharge platform, and the pulse high-voltage generation module is used for outputting a high-voltage pulse signal; the main control module is electrically connected with the pulse high-voltage generation module and is used for outputting a high-voltage pulse generation instruction; the image acquisition module is arranged below the transparent discharge platform and electrically connected with the main control module, and the image acquisition module is used for acquiring the glow image of the human finger and outputting the glow image to the main control module.
Further, in the above non-invasive blood glucose screening system based on the gas discharge imaging technology, the transparent discharge platform includes a transparent glass layer, and an upper side of the transparent glass layer is in contact with a finger of a user.
Further, among the above-mentioned noninvasive blood glucose screening system based on gas discharge imaging technology, transparent discharge platform includes transparent conducting layer, transparent conducting layer with transparent glass sets up side by side, transparent conducting layer with the pulse high voltage generation module electricity is connected.
Further, in the non-invasive blood glucose screening system based on the gas discharge imaging technology, the system further includes: and the user login module is used for acquiring user information, uniquely binding the user information with the subsequently acquired finger image and uploading the user information to the cloud.
The non-invasive blood sugar screening system based on the gas discharge imaging technology acquires glow images of ten fingers of a user through a GDV (gas diffusion television) instrument, analyzes the images and acquires twelve meridian energy parameters; correlation analysis is carried out on the twelve meridian energy parameters and the disease parameters through a disease parameter and meridian energy parameter correlation analysis module 30, and meridian parameters related to diabetes diagnosis are selected and obtained; the mathematical model is established by the mathematical model establishing module by utilizing the energy parameters, the risk degree of the diabetes of the user is determined by the diabetes suffering value determining module, and the noninvasive detection of the diabetes screening can be simply and quickly realized; meanwhile, the coverage rate of diabetes screening is improved, a part of hidden or early-stage diabetes patients can be found in time, and then the tested person can pay attention to the self health condition as early as possible and block the progress of the disease course in time, so that the method has good economic and social benefits.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a block diagram of a noninvasive blood glucose screening system based on gas discharge imaging technology according to an embodiment of the present invention;
FIG. 2 is a block diagram of a GDV apparatus according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Referring to fig. 1, the non-invasive blood glucose screening system based on the gas discharge imaging technology of the embodiment of the present invention includes: the device comprises a GDV instrument 10, a meridian energy parameter acquisition module 20, a disease parameter and meridian energy parameter correlation analysis module 30, a mathematical model building module 40 and a diabetes suffering score determining module 50; wherein:
the GDV instrument 10 is used for collecting glow images of the fingertips of a user; the meridian energy parameter obtaining module 20 is electrically connected with the GDV instrument 10, and is configured to receive and analyze a glow image of a fingertip of the user, and obtain a glow energy parameter of twelve meridians of the user according to the glow image; the disease parameter and meridian energy parameter correlation analysis module 30 is electrically connected with the meridian energy parameter acquisition module 20, and is configured to receive glow energy parameters of twelve meridians of the user, perform correlation analysis on the glow energy parameters of the twelve meridians and the relevant indication parameters of diabetes, and accordingly screen out meridian energy parameters relevant to diabetes diagnosis; the mathematical model establishing module 40 is electrically connected with the disease parameter and meridian energy parameter correlation analysis module 30, and is used for receiving meridian energy parameters related to diabetes diagnosis and establishing a mathematical model according to the meridian energy parameters; the diabetes suffering score determining module 50 is electrically connected to both the disease parameter and meridian energy parameter correlation analysis module 30 and the mathematical model establishing module 40, and is configured to receive the meridian energy parameters related to the diabetes diagnosis and obtain a diabetes suffering score according to the meridian energy parameters related to the diabetes diagnosis and the mathematical model, so as to determine a risk degree of the user suffering from diabetes according to the diabetes suffering score.
Specifically, the GDV instrument 10 acquires a GDV image of a finger tip of a user, and the meridian energy parameter acquisition module 20 receives glow images of the left hand and the right hand of the user acquired by the GDV instrument 10 and performs partition analysis on the glow images to acquire glow energy parameters of twelve meridians; the correlation analysis module 30 for disease parameter and meridian energy parameter performs correlation analysis on the twelve meridian energy parameters and disease parameters, and selects meridian parameters related to diabetes diagnosis; the disease parameter and meridian energy parameter correlation analysis module 30 adopts the sps 19.0 software to analyze and process, all data meet the correlation analysis of the normal distribution by adopting a pearson method, and the correlation analysis of the normal distribution by adopting a spearman method is not met. Through correlation analysis, diabetes diagnosis is carried out according to the energy of the channels and collaterals of the heart, the lung, the liver, the kidney, the pericardium, the small intestine, the large intestine, the gallbladder, the triple warmer and the bladder.
In this embodiment, the twelve meridian energy parameters include heart meridian of hand shaoyin, lung meridian of hand taiyin, liver meridian of foot jueyin, spleen meridian of foot taiyin, kidney meridian of foot shaoyin, pericardium meridian of hand jueyin, small intestine meridian of hand taiyang, large intestine meridian of hand yangming, gallbladder meridian of foot shaoyang, stomach meridian of foot yangming, triple energizer meridian of hand shaoyang, and bladder meridian of foot taiyang.
The mathematical model establishing method adopts discriminant analysis in multivariate statistical analysis in the sps 19.0 software to carry out analysis processing, and the obtained linear discriminant function of the Fisher is as follows:
y = -0.008 × HT +0.549 × LU +0.747 × LR +2.086 × SP-1.317 × KI-4.746 × PC +1.18 × SI +3.779 × LI-0.495 £ -4.561 × SJ-0.325 × BL +11.242, wherein:
y is the value of diabetes, HT is the meridian energy value of the heart meridian of hand shaoyin, LU is the meridian energy value of the lung meridian of hand taiyin, LR is the meridian energy value of the liver meridian of foot jueyin, SP is the meridian energy value of the spleen meridian of foot taiyin, KI is the meridian energy value of the kidney meridian of foot shaoyin, PC is the meridian energy value of the pericardium meridian of hand jueyin, SI is the meridian energy value of the small intestine meridian of hand taiyang, LI is the meridian energy value of the large intestine meridian of hand yangming, GB is the meridian energy value of the gallbladder meridian of foot shaoyang, SJ is the meridian energy value of the triple energizer meridian of hand shaoyang, and BL is the meridian energy value of the bladder meridian of foot taiyang.
In this embodiment, the condition that the diabetes suffering score determining module determines the degree of diabetes risk is: when the diabetes suffering score is not less than the diabetes suffering score tangent point, outputting that the risk of diabetes suffering exists; when the diabetes suffering score is smaller than the diabetes suffering score tangent point, outputting that the diabetes suffering risk is smaller.
Wherein, the score cut point of diabetes can be 4, that is, when Y is more than or equal to 4 (the score cut point of diabetes), the output has the risk of diabetes, but when Y is less than 4, the output has smaller risk of diabetes. The determination of the diabetes suffering score cut-point value is determined by comparing with a conventional detection method according to a diabetes clinical screening experiment.
Referring to fig. 2, the GDV instrument 10 includes: the system comprises a transparent discharge platform 101, a pulse high-voltage discharge generation module 102, a main control module 103 and an image acquisition module 104; wherein, the upper side surface of the transparent discharging platform 101 is contacted with the human body; the pulse high-voltage discharge generation module 102 is arranged below the transparent discharge platform 101 and is electrically connected with the transparent discharge platform 101, and the pulse high-voltage generation module is used for outputting a high-voltage pulse signal; the main control module 103 is electrically connected with the pulse high-voltage generation module and is used for outputting a high-voltage pulse generation instruction; the image acquisition module 104 is arranged below the transparent discharge platform 101, is electrically connected with the main control module 103, and is used for acquiring the glow image of the human finger and outputting the glow image to the main control module 103.
More specifically, the pulse high voltage generation module, the main control module 103 and the image acquisition module 104 are disposed in a casing, the transparent discharge platform 101 is disposed on one side of the casing, and the pulse high voltage generation module, the main control module 103 and the image acquisition module 104 are all located below the transparent discharge platform 101.
The transparent discharge platform 101 includes a transparent glass layer, and an upper side of the transparent glass layer is in contact with a human body. The transparent glass layer is preferably a high light transmittance glass. The transparent discharging platform 101 further comprises a transparent conducting layer, the transparent conducting layer and the transparent glass are arranged side by side, and the transparent conducting layer is electrically connected with the pulse high-voltage generating module. The transparent glass layer and the transparent conductive layer are closely attached together.
The transparent conductive layer may be transparent conductive glass, a transparent conductive film, or the like. The transparent conductive glass can be AZO zinc oxide based coated glass, FTO glass, ITO glass or TCO glass and the like. The transparent conductive film may be a metal film, an oxide film, another compound film, a polymer film, a composite film, or other conductive film.
The image acquisition module 104 comprises a CCD image acquisition unit, which is electrically connected to the main control module 103. The CCD image acquisition unit is preferably a CCD image sensor. The image acquisition module 104 further comprises a low-illumination high-definition camera, the low-illumination high-definition camera is electrically connected with the main control module 103, and the low-illumination high-definition camera is used for acquiring a finger glow image.
During specific operation, a user places five fingers on the transparent discharge platform 101, the main control module 103 sends a working instruction to the pulse high-voltage generation module, high-voltage pulse signals are generated instantaneously on the lower side of the transparent discharge platform 101, a human body generates glow images under the action of an electric field, and the glow images formed by fingertips under the high-voltage electric field are collected through the image collection module 104.
In this embodiment, the meridian energy parameter obtaining module 20 is configured to receive glow images of the left and right hands of the user acquired by the GDV instrument 10, divide each finger glow image into a plurality of sector images, and divide a local sector image into one or more meridians according to records related to "lingshu" in huang di inner classic and records on meridians in other traditional Chinese medical book, that is, the fingertip glow areas of 10 fingers belong to twelve meridians in traditional Chinese medicine, so as to form 12 meridian energy parameters; and calculating the gray value of each pixel point in the image area to which the meridians belong, thereby obtaining the glow energy parameter value of the twelve meridians.
More specifically, the meridian energy parameter obtaining module 20 includes: the device comprises a finger glow light attribution unit and a glow energy parameter value calculation unit; the finger glow assignment unit is used for receiving glow images of fingers of a user, dividing the glow images of the fingers into a plurality of sector images respectively, and assigning each local sector image to one or a plurality of meridians, namely: dividing the left thumb into 8 sector partitions according to a twelve meridian energy calculation rule; the index finger at the left side is divided into 9 sector partitions; the left middle finger is divided into 7 sector partitions; the ring finger on the left side is divided into 9 sector partitions; the left little finger is divided into 6 sector partitions; the right thumb is divided into 8 sector partitions; the index finger on the right side is divided into 9 sector partitions; the middle finger on the right side is divided into 7 sector partitions; the ring finger on the right side is divided into 9 sector partitions; the right little finger is divided into 6 sectorial subareas.
And the glow energy parameter value calculating unit is used for calculating the gray value of each pixel point in the image area to which each meridian belongs according to the local sector image of each meridian to which each meridian belongs. In practice, the area corresponding to each sector image may be determined by using a triangular mask method, in which the gray values of other areas except for the target sector image in the finger image are set to zero, and only the gray values of the pixels in the target sector image are reserved for calculating the energy of the sector image.
In this embodiment, the GDV instrument 10, the meridian energy parameter obtaining module 20, the disease parameter and meridian energy parameter correlation analysis module 30, the mathematical model establishing module 40, and the diabetes suffering score determining module 50 may be integrated into a whole, or may be set independently of each other, and may be determined according to actual conditions.
As is obvious from the above description, the noninvasive blood glucose screening system based on the gas discharge imaging technology provided in this embodiment obtains glow images of ten fingers of a user through a GDV instrument, and analyzes the images to obtain twelve meridian energy parameters; correlation analysis is carried out on the twelve meridian energy parameters and the disease parameters through a disease parameter and meridian energy parameter correlation analysis module 30, and meridian parameters related to diabetes diagnosis are selected and obtained; the mathematical model is established by the mathematical model establishing module through the energy parameters, the risk degree of the diabetes suffered by the user is determined by the diabetes suffering score determining module, and noninvasive detection of diabetes screening can be simply and quickly realized; meanwhile, the coverage rate of diabetes screening is improved, a part of hidden or early-stage diabetes patients can be found in time, and then the tested person can pay attention to the self health condition as early as possible and block the progress of the disease course in time, so that the method has good economic and social benefits.
In the above embodiment, the method further includes: and the conditioning scheme module 60 is electrically connected with the diabetes suffering score determining module and is used for determining a conditioning scheme corresponding to the risk degree from the pre-stored matching relationship between the diabetes diagnosis result and the conditioning scheme according to the risk degree of the diabetes suffering of the user determined by the diabetes suffering score determining module. Namely: and pushing a proper conditioning suggestion to the user according to the degree of the risk of the user for suffering from the diabetes.
In the foregoing embodiments, the method further includes: and the user login module is used for acquiring user information, uniquely binding the user information with the subsequently acquired finger image and uploading the user information to the cloud.
Of course, the non-invasive blood sugar screening system based on the gas discharge imaging technology of the present invention further comprises: and the control panel is provided with a user login module start button, a GDV instrument acquisition button, a meridian energy parameter acquisition module start button and the like.
The operation process of the non-invasive blood sugar screening system based on the gas discharge imaging technology of the embodiment is as follows:
(1) a user logs in the system, sets the system and inputs personal basic related information so as to be uniquely bound with the subsequently acquired finger glow image;
(2) the left hand and the right hand are inserted into finger fixing holes of a GDV instrument according to the indication of a mold and lightly placed on discharge glass, so that the five fingertips are ensured to be in contact with the discharge glass, after an acquisition button is started, a start button of a meridian energy parameter acquisition module is clicked, judgment such as overexposure, nonuniform illumination, blurring and small effective area can be automatically carried out by a machine, if the judgment meets the conditions, a finger image photo is uploaded, two pictures of the left hand and the right hand are shot together, and the two pictures meet the requirements, so that the following step (3) can be carried out.
(3) Uploading the pictures shot in the step (2) to the cloud, performing automatic feature extraction, and obtaining meridian energy parameters related to diabetes diagnosis, wherein the step is mainly realized through machine learning.
(4) Inputting the acquired meridian energy parameters related to diabetes diagnosis into a mathematical model building module to obtain a diabetes suffering score;
(5) and (4) obtaining conditioning suggestions according to the diabetes suffering score and the characteristic parameter values (meridian energy parameters related to diabetes diagnosis).
In conclusion, the noninvasive blood glucose screening system provided by the invention has the characteristics of noninvasiveness, simplicity, convenience and strong practicability, and can be used for acquiring the risk value of diabetes and corresponding conditioning suggestions by taking two pictures of the fingers of the left hand and the right hand. The system can improve the coverage rate of diabetes screening, so that a part of hidden or early diabetic patients can be found in time, and then the tested person can pay attention to the self health condition as early as possible and block the progress of the disease course in time. The diabetes screening system can evaluate the health condition of a human body in time, improve the health consciousness of people, change the traditional medical care mode of people, strengthen physique and have good economic and social benefits.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A non-invasive blood glucose screening system based on gas discharge imaging technology, comprising:
the GDV instrument is used for collecting glow images of the fingertips of the user;
the meridian energy parameter acquisition module is electrically connected with the GDV instrument and is used for receiving and analyzing glow images of the fingertips of the user and acquiring glow energy parameters of twelve meridians of the user according to the glow images;
the disease parameter and meridian energy parameter correlation analysis module is electrically connected with the meridian energy parameter acquisition module and is used for receiving glow energy parameters of twelve meridians of the user, performing correlation analysis on the glow energy parameters of the twelve meridians and the relevant indication parameters of diabetes, and screening out meridian energy parameters relevant to diabetes diagnosis;
the mathematical model establishing module is electrically connected with the disease parameter and meridian energy parameter correlation analysis module and is used for receiving meridian energy parameters related to diabetes diagnosis and establishing a mathematical model according to the meridian energy parameters;
the linear model established by the mathematical model establishing module is as follows:
y = -0.008 × HT +0.549 × LU +0.747 × LR +2.086 × SP-1.317 × KI-4.746 × PC +1.18 × SI +3.779 × LI-0.495 × GB-4.561 × SJ-0.325 × BL +11.242, wherein:
y is the diabetes suffering value, HT is the meridian energy value of the heart meridian of hand shaoyin, LU is the meridian energy value of the lung meridian of hand taiyin, LR is the meridian energy value of the liver meridian of foot jueyin, SP is the meridian energy value of the spleen meridian of foot taiyin, KI is the meridian energy value of the kidney meridian of foot shaoyin, PC is the meridian energy value of the pericardium meridian of hand jueyin, SI is the meridian energy value of the small intestine meridian of hand taiyang, LI is the meridian energy value of the large intestine meridian of hand yangming, GB is the meridian energy value of the gallbladder meridian of foot shaoyang, SJ is the meridian energy value of the triple energizer meridian of hand shaoyang, BL is the meridian energy value of the bladder meridian of foot taiyang;
the diabetes suffering value determining module is electrically connected with the disease parameter and meridian energy parameter correlation analysis module and the mathematical model establishing module, and is used for receiving the meridian energy parameters related to the diabetes diagnosis and obtaining a diabetes suffering value tangent point according to the meridian energy parameters related to the diabetes diagnosis and the mathematical model, so that the risk degree of the user suffering from diabetes is determined according to the diabetes suffering value tangent point.
2. The non-invasive blood glucose screening system based on gas discharge imaging technology as claimed in claim 1, wherein the condition that the diabetes suffering score determining module determines the degree of diabetes risk is:
when the diabetes suffering score is not less than the diabetes suffering score tangent point, outputting that the risk of diabetes suffering exists; when the diabetes suffering score is smaller than the diabetes suffering score tangent point, outputting that the diabetes suffering risk is smaller.
3. The non-invasive blood glucose screening system based on gas discharge imaging technology of claim 1, wherein the twelve meridians include hand shaoyin heart meridian, hand taiyin lung meridian, foot jueyin liver meridian, foot taiyin spleen meridian, foot shaoyin kidney meridian, hand jueyin pericardium meridian, hand taiyang small intestine meridian, hand yangming large intestine meridian, foot shaoyang gallbladder meridian, foot yangming stomach meridian, hand shaoyang triple energizer meridian, and foot taiyang bladder meridian.
4. The non-invasive blood glucose screening system based on gas discharge imaging technology of claim 1, further comprising: and the conditioning scheme module is electrically connected with the diabetes suffering score determining module and is used for determining a conditioning scheme corresponding to the risk degree from the pre-stored matching relationship between the diabetes diagnosis result and the conditioning scheme according to the risk degree of the diabetes suffering of the user determined by the diabetes suffering score determining module.
5. The non-invasive blood glucose screening system based on gas discharge imaging technology as claimed in claim 1, wherein the meridian energy parameter obtaining module comprises:
the finger glow belonging unit is used for receiving glow images of fingers of a user, dividing the glow images of the fingers into a plurality of sector images respectively, and belonging each local sector image to one or a plurality of channels and collaterals;
and the glow energy parameter value calculating unit is used for calculating the gray value of each pixel point in the image area to which each meridian belongs according to the local sector image of each meridian to which each meridian belongs.
6. The non-invasive blood glucose screening system based on gas discharge imaging technology of claim 1, wherein the GDV instrument comprises:
the upper side surface of the transparent discharge platform is in contact with a human body;
the pulse high-voltage discharge generation module is arranged below the transparent discharge platform and is electrically connected with the transparent discharge platform, and the pulse high-voltage discharge generation module is used for outputting a high-voltage pulse signal;
the main control module is electrically connected with the pulse high-voltage discharge generation module and is used for outputting a high-voltage pulse generation instruction;
the image acquisition module is arranged below the transparent discharge platform and electrically connected with the main control module, and the image acquisition module is used for acquiring the glow image of the human finger and outputting the glow image to the main control module.
7. The non-invasive blood glucose screening system based on gas discharge imaging technology of claim 6, wherein the transparent discharge platform comprises a transparent glass layer, the upper side of the transparent glass layer is in contact with the finger of the user.
8. The non-invasive blood glucose screening system based on gas discharge imaging technology of claim 7, wherein the transparent discharge platform comprises a transparent conductive layer, the transparent conductive layer is arranged side by side with the transparent glass layer, and the transparent conductive layer is electrically connected with the pulse high voltage discharge generation module.
9. The non-invasive blood glucose screening system based on gas discharge imaging technology according to any one of claims 1 to 8, further comprising: and the user login module is used for acquiring user information, uniquely binding the user information with the subsequently acquired glow image of the finger and uploading the user information to the cloud.
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