Noninvasive blood glucose measurement method, device, medium, product and equipment

Abstract

The invention belongs to the field of blood glucose detection, and provides a noninvasive blood glucose measuring method, device, medium, product and equipment. The method comprises the following steps: extracting signal wave characteristic parameters of a resonance signal when the resonance signal is propagated in a blood vessel according to a predetermined resonance frequency and a resonance incident angle of a current individual target blood vessel region; according to all the signal wave characteristic parameters in the single detection process and a pre-constructed relation model of the signal wave characteristic parameters and the blood viscosity, obtaining a blood viscosity value of single detection; and obtaining a corresponding blood glucose concentration value according to the blood viscosity value detected at the single time and a pre-constructed positive correlation model between the blood viscosity value detected at the single time and the blood glucose concentration.

Description

Technical Field

[0001] The present invention belongs to the field of blood sugar detection, and in particular relates to a non-invasive blood sugar measurement method, device, medium, product and equipment. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] Blood sugar is an important physiological indicator for measuring human metabolic health. Abnormal blood sugar levels may lead to a variety of metabolic diseases, such as diabetes, hyperglycemia and hypoglycemia. Traditional blood sugar testing methods mainly rely on blood sample collection, such as fingertip blood collection and venous blood sampling. Although these methods have high accuracy, they require invasive operations, which bring pain, inconvenience and infection risks to patients. In addition, such methods cannot achieve real-time monitoring and are difficult to meet the needs of monitoring dynamic changes in blood sugar.

[0004] Existing blood glucose detection technologies include optical detection technology (such as near-infrared spectroscopy and Raman spectroscopy) and electrochemical detection technology; among them, optical detection technology estimates blood glucose concentration by analyzing the interaction between light and chemical components in skin and tissue. However, these methods are limited by the scattering and absorption characteristics of skin tissue and external interference (such as sweat and temperature changes), making it difficult to ensure the stability and accuracy of the test results. In addition, optical equipment is large and difficult to make portable. Electrochemical detection technology uses non-invasive sweat or saliva samples to detect blood glucose concentration, but the glucose concentration in body fluids is usually low and volatile, and has a weak correlation with blood glucose concentration. In addition, sweat and saliva samples are easily affected by environmental pollution and interference from other substances in the body, affecting the repeatability and reliability of the test. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a non-invasive blood glucose measurement method, device, medium, product and equipment, which can non-invasively monitor blood glucose concentration values ​​in real time.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: A first aspect of the present invention provides a non-invasive blood glucose measurement method.

[0007] In one or more embodiments, a non-invasive blood glucose measurement method is provided, comprising: Extracting signal wave characteristic parameters of the resonance signal when it propagates in the blood vessel according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region; According to all signal wave characteristic parameters in a single detection process and a pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, a blood viscosity value of a single detection is obtained; According to the single-test blood viscosity value and the pre-constructed positive correlation model between the single-test blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value is obtained.

[0008] As an implementation method, the process of determining the resonance frequency and the resonance incident angle of the current individual target blood vessel region is as follows: Signal waves of different frequencies are incident on the target blood vessel area of ​​the same individual at a fixed angle, and the frequency corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined and used as the resonance frequency of the current individual. The fixed angle is the resonance angle of the current individual.

[0009] As an implementation method, the process of determining the resonance frequency and the resonance incident angle of the current individual target blood vessel region is as follows: A signal wave of a fixed frequency is incident on the target blood vessel area of ​​the same individual at different angles, and the fixed angle corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined as the resonance angle of the current individual, and the fixed frequency is the resonance frequency of the current individual.

[0010] As an implementation method, the expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is:

[0011] in: for Blood viscosity value at the moment; is the number of measurements in a single detection process, is the number of characteristic parameters of the signal wave, is the characteristic parameter of the signal wave; is a constant term, representing the offset of the model; are the regression coefficients of the characteristic parameters of each signal wave, representing the influence of each feature on blood viscosity.

[0012] As an implementation method, the positive correlation model between the blood viscosity value and the blood glucose concentration detected in a single test is:

[0013] in: is the blood viscosity value; It is the basic blood viscosity measured in the fasting state; For the moment Blood sugar concentration at any time; is the sensitivity coefficient of changes in blood glucose concentration to blood viscosity.

[0014] A second aspect of the present invention provides a non-invasive blood glucose measurement device.

[0015] In one or more embodiments, a non-invasive blood glucose measurement device includes: a signal wave characteristic parameter extraction module, which is used to extract the signal wave characteristic parameters of the resonance signal when it propagates in the blood vessel according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region; A blood viscosity calculation module, which is used to obtain the blood viscosity value of a single test according to all signal wave characteristic parameters in a single test process and a pre-constructed relationship model between the signal wave characteristic parameters and the blood viscosity; The blood glucose concentration calculation module is used to obtain the corresponding blood glucose concentration value according to the blood viscosity value of a single test and a pre-constructed positive correlation model between the blood viscosity value of a single test and the blood glucose concentration.

[0016] In one or more embodiments, another non-invasive blood glucose measurement device includes: a signal transmitting end, which is arranged at the incident point of the signal wave and is used to transmit the signal wave; A signal receiving end, which is arranged at the emission point of the signal wave; the signal receiving end is used to receive the reflected wave of the signal wave; A signal processor configured to: According to the signal wave information transmitted by the signal transmitting end and the signal receiving end, the resonance frequency and the resonance incident angle corresponding to the current individual are determined; Extracting signal wave characteristic parameters of the resonance signal when propagating in the blood vessel according to the determined resonance frequency and resonance incident angle of the current individual target blood vessel region; According to all signal wave characteristic parameters in a single detection process and a pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, a blood viscosity value of a single detection is obtained; According to the single-test blood viscosity value and the pre-constructed positive correlation model between the single-test blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value is obtained.

[0017] A third aspect of the present invention provides a computer-readable storage medium.

[0018] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the non-invasive blood glucose measurement method as described above.

[0019] A fourth aspect of the present invention provides a computer program product.

[0020] A computer program product comprises a computer program / instruction, which implements the steps in the non-invasive blood glucose measurement method as described above when executed by a processor.

[0021] A fifth aspect of the present invention provides an electronic device.

[0022] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the non-invasive blood glucose measurement method as described above when executing the program.

[0023] Compared with the prior art, the present invention has the following beneficial effects: During the non-invasive blood glucose detection process of the human body, the present invention analyzes the change of blood viscosity according to the principle of signal resonance, utilizes the resonance characteristics of the signal wave to be extremely sensitive to the slight changes of the physical parameters of the medium, considers the influence of blood glucose on blood viscosity, extracts the characteristic parameters of the signal wave related to the blood viscosity, and then combines the relationship model of the signal wave characteristic parameters and blood viscosity constructed in advance to obtain the blood viscosity value of a single detection, and then based on the positive correlation model between the blood viscosity value of a single detection and the blood glucose concentration, obtains the corresponding blood glucose concentration value, thereby improving the accuracy of the detection of blood glucose concentration changes. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0025] Figure 1 is a flow chart of a non-invasive blood glucose measurement method according to an embodiment of the present invention; Figure 2 Schematic diagram of the resonance change principle of the signal wave of an embodiment of the present invention; Figure 3 is a schematic diagram of different blood sugar concentrations and the intensity of the reflected signal wave according to an embodiment of the present invention; Figure 4 It is a schematic diagram of the structure of a non-invasive blood glucose measurement device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0027] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0028] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0029] The non-invasive blood glucose measurement principle of the present invention is: First, the signal source emits a signal wave incident on the target blood vessel area, and the signal wave is reflected by the particles in the blood. The sensor can detect the characteristics of the reflected signal, such as the reflection intensity. By adjusting the angle or frequency of the incident signal wave, the signal wave injected into the blood vessel resonates with the particles in the blood, and the energy of the signal wave is transferred more to the particles in the blood, then the characteristics of the reflected signal wave change significantly, such as a sharp drop in the reflection intensity. Since the resonance between the signal wave and the particles in the blood vessel is also affected by the blood viscosity, that is, at the current moment, the signal wave resonates with the particles in the blood, and the reflected signal characteristic value is detected. Subsequently, if the blood viscosity changes, the resonance environment changes, so that the resonance effect between the signal wave and the particles in the blood becomes weaker or even no longer resonates, then the detected reflected signal characteristic value changes from the signal characteristic value reflected during the resonance. This change is related to the blood viscosity. By constructing a correlation model and measuring the characteristic value change, the blood viscosity change can be continuously monitored without trauma; then, according to the pre-constructed positive correlation model between the single-test blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value can be obtained.

[0030] In the present invention, the basic principle of the signal wave resonance method is to emit a signal wave of a certain frequency to a medium (such as blood) and observe the propagation characteristics of these waves in the medium. When the frequency of the signal wave matches the inherent resonance frequency of the medium, a resonance phenomenon will occur, resulting in changes in the propagation speed, reflection, scattering, etc. of the sound wave in the medium. When the signal wave resonance method is used to measure blood viscosity, a resonance phenomenon will occur when the signal wave interacts with the medium, which usually occurs in a "transfer resonance" manner. The resonance frequency at this time is determined by the physical properties of the substances in the blood, such as density, viscosity, elasticity, elastic modulus, and absorption coefficient, which will affect the propagation, reflection, refraction, absorption, and other phenomena of the medium to the sound wave.

[0031] When the incident angle, frequency, etc. of the signal wave match certain physical properties of blood or vascular tissue, a specific wave propagation phenomenon will occur. At certain frequencies, the wavelength of the signal wave is just the same as the size of small particles in the blood (such as blood cells, lipid particles, etc.), causing the signal wave to resonate with these particles. In the resonant state, the signal wave drives the blood components to vibrate together and the amplitude of the mechanical vibration is significantly increased. At this time, most of the energy in the signal wave is transferred to the blood, and the energy stored in the signal wave is less, so the intensity of the reflected signal wave reaches the minimum. In addition, due to the friction between molecules caused by vibration, part of the energy will be further converted into heat energy. Therefore, in the resonant state, the energy of the reflected signal wave will be reduced, and the reflection intensity will reach the minimum.

[0032] Changes in blood viscosity are related to changes in a variety of substances. Protein, cholesterol, glucose, etc. in the human body will affect changes in blood viscosity. Among them, in addition to other substances such as glucose, the effect of cholesterol on blood viscosity is a long-term and slow process. Therefore, within a day, the change in blood viscosity caused by cholesterol can be ignored. Compared with other substances, glucose changes more obviously before and after meals. Therefore, changes in blood viscosity are mainly caused by changes in blood glucose concentration. Therefore, by observing changes in blood viscosity within a day, changes in human blood glucose concentration can be reflected. When used for a long time, the blood glucose tester needs to be calibrated regularly to eliminate measurement errors caused by changes in the concentration of other blood substances.

[0033] When the human body is fasting, use multi-frequency signal waves to scan and find the appropriate incident angle and resonance frequency of the signal wave When the blood sugar concentration changes, the incident angle and resonance frequency of the signal wave do not change, and the intensity of the received signal wave will change. When the blood sugar concentration increases or decreases, the signal wave and the blood system gradually break away from the original resonance state, the energy loss and conversion gradually decrease, and the reflection intensity gradually increases. The schematic diagram of its change principle is as follows Figure 2 As shown; the schematic diagram of different blood sugar concentrations and the intensity of the reflected signal wave is shown in Figure 3 shown.

[0034] Combination Figure 1 The non-invasive blood glucose measurement method in the present embodiment shown may include: S101, extracting signal wave characteristic parameters of a resonance signal when it propagates in the blood vessel according to a predetermined resonance frequency and resonance incident angle of a current individual target blood vessel region.

[0035] In step S101, in some optional embodiments, the signal wave is at a fixed angle The signal wave enters the target area obliquely when incident on the skin. The signal wave frequency increases from 0 and the received signal wave strength is detected. When the signal wave frequency continues to increase, its reflection strength is detected. When it reaches the minimum, record the frequency at that moment is the resonant frequency. The fixed angle is the resonance angle of the current individual.

[0036] In other optional embodiments, a signal wave of a fixed frequency is incident on the target blood vessel area of ​​the same individual at different angles, and the fixed angle corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined as the resonance angle of the current individual, and the fixed frequency is the resonance frequency of the current individual.

[0037] S102, obtaining a blood viscosity value of a single detection according to all signal wave characteristic parameters in a single detection process and a pre-constructed relationship model between the signal wave characteristic parameters and the blood viscosity.

[0038] In step S102, the expression of the relationship model between the signal wave characteristic parameter and the blood viscosity is:

[0039] in: for Blood viscosity value at the moment; is the number of measurements in a single detection process, is the number of characteristic parameters of the signal wave, is the characteristic parameter of the signal wave; is a constant term, representing the offset of the model; are the regression coefficients of the characteristic parameters of each signal wave, representing the influence of each feature on blood viscosity.

[0040] In one or more embodiments, the signal wave characteristic parameters include but are not limited to the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the signal wave phase and the reflection intensity of the signal wave; Among them, the distance between the incident point and the exit point of the signal wave is and incident angle Fixed, by continuously transmitting a fixed frequency The signal wave detection signal wave propagation speed changes in the blood. The speed of sound is the propagation speed of the signal wave in the medium (such as blood), which is closely related to the density and elastic modulus of the medium. The calculation formula is: ; in, is the speed of sound, The bulk modulus of the medium, is the medium density.

[0041] In the actual measurement process, it can be obtained by measuring the propagation time and distance of the signal wave. The specific calculation formula is as follows: ; in, is the distance between the incident and exit points of the signal wave, is the propagation time of the signal wave from the signal wave incident point and exit point.

[0042] When the viscosity increases, the propagation speed of the signal wave usually slows down, because the greater the viscosity, the greater the resistance of the blood to the signal wave. When the viscosity decreases, the propagation speed of the signal wave usually speeds up, because low-viscosity blood has less resistance to the signal wave. By measuring the propagation time (delay) or propagation speed of the signal wave, the direction of the viscosity change of the blood can be inferred.

[0043] During the propagation of the signal wave, energy attenuation will occur due to absorption, scattering, etc. The change of blood viscosity will affect the absorption of the signal wave, so its attenuation rate The specific calculation formula is: ; in, is the intensity of the signal wave at the detection point, is the initial signal wave strength.

[0044] In the resonance phenomenon, the phase of the reflected wave will change due to the interaction between the signal wave and the blood or blood vessels. When the blood viscosity increases, the propagation speed of the signal wave slows down and the phase delay increases relatively. When the viscosity decreases, the opposite is true. This phase change is closely related to the propagation path of the sound wave in the medium and the physical properties of the medium (such as viscosity, density, etc.), and there is the following relationship: ; ; in, is the phase change of the signal wave, is the incident length of the signal wave, is the incident frequency of the signal wave, is the propagation speed of the signal wave.

[0045] In some screenshot embodiments, the relationship model between the signal wave characteristic parameters and the blood viscosity can be fitted with the processed signal wave data and the blood viscosity using machine learning or deep learning methods such as partial least squares (PLS), principal component regression (PCR), support vector regression (SVR), random forest regression, K nearest neighbor regression (KNN), convolutional neural network (CNN), long short-term memory network (LSTM), Gaussian process regression (GPR), and multivariate correction model. For example, the expression of the relationship model between the signal wave characteristic parameters and the blood viscosity obtained by fitting is:

[0046] in, is the blood viscosity value of a single test; is the number of measurements in a single detection process; Indicates different number of measurements; For the The propagation speed of the signal wave in the blood is measured; For the The attenuation rate of the signal wave measured at this time; For the The change in the phase of the signal wave during the measurement; For the The reflection intensity of the signal wave measured at this time; is a constant term, indicating the offset of the relational model; are the regression coefficients of the corresponding signal wave characteristic parameters, representing the influence of the corresponding signal wave characteristic parameters on blood viscosity; , , , The expression of is as described above.

[0047] In other embodiments, the relationship model between the signal wave characteristic parameters and the blood viscosity may also be implemented using other expressions, which will not be described in detail here.

[0048] Blood is drawn multiple times within one day before use to measure blood viscosity, and the method is used to obtain characteristic values ​​at the same time. The blood viscosity detection values ​​are input into the model, the individual is calibrated, and the parameters of the fitting curve are corrected to make it more suitable for individual measurement.

[0049] S103, obtaining a corresponding blood glucose concentration value according to a single-detected blood viscosity value and a pre-constructed positive correlation model between a single-detected blood viscosity value and a blood glucose concentration.

[0050] In step S103, the impact of the fluctuation of human blood sugar level on blood viscosity is a dynamic process, and the blood sugar concentration of the human body can be predicted by blood viscosity. Blood sugar concentration affects blood osmotic pressure, thereby indirectly affecting blood viscosity. The relationship between the two is: ; in, For the moment The blood viscosity obtained by the prediction model, The basic blood viscosity is measured in the fasting state. For the moment of blood glucose concentration. is the sensitivity coefficient of changes in blood glucose concentration to blood viscosity. This value needs to be obtained through model fitting such as deep learning and machine learning.

[0051] After the blood glucose-blood viscosity model is established, the blood glucose concentration can be measured by blood viscosity. The calculation formula is as follows: ; in, is the reverse mapping function, which converts blood viscosity value into blood glucose value.

[0052] Figure 4 is a schematic diagram of the structure of a non-invasive blood glucose measurement device in an embodiment of the present invention. Figure 1 The non-invasive blood glucose measurement method corresponds to Figure 4 As shown, the non-invasive blood glucose measurement device in this embodiment may include: A signal wave characteristic parameter extraction module 401 is used to extract the signal wave characteristic parameters of the resonance signal when it propagates in the blood vessel according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region; A blood viscosity calculation module 402, which is used to obtain the blood viscosity value of a single test according to all signal wave characteristic parameters in a single test process and a pre-constructed relationship model between the signal wave characteristic parameters and the blood viscosity; The blood glucose concentration calculation module 403 is used to obtain the corresponding blood glucose concentration value according to the single-detected blood viscosity value and the pre-constructed positive correlation model between the single-detected blood viscosity value and the blood glucose concentration.

[0053] It should be noted here that Figure 4 Each module in the non-invasive blood glucose measurement device is Figure 1 The various steps in the non-invasive blood glucose measurement method correspond one to one, and the specific implementation process is the same, which will not be repeated here.

[0054] In some other embodiments, a non-invasive blood glucose measurement device is provided, comprising: A signal transmitting end, which is arranged at the incident point of the signal wave and is used to transmit the signal wave; A signal receiving end, which is arranged at the emission point of the signal wave; the signal receiving end is used to receive the reflected wave of the signal wave; A signal processor configured to: According to the signal wave information transmitted by the signal transmitting end and the signal receiving end, the resonance frequency and the resonance incident angle corresponding to the current individual are determined; Extracting signal wave characteristic parameters of the resonance signal when propagating in the blood vessel according to the determined resonance frequency and resonance incident angle of the current individual target blood vessel region; According to all signal wave characteristic parameters in a single detection process and a pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, a blood viscosity value of a single detection is obtained; According to the single-test blood viscosity value and the pre-constructed positive correlation model between the single-test blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value is obtained.

[0055] Among them, the signal transmitting end can adjust the frequency and angle of the transmitted signal wave, and can realize the selection of the incident angle and the resonance frequency. When the signal wave reaches resonance, the signal transmitting end and the signal receiving end can both adopt the patch form, for example, the signal wave is incident at a fixed angle and a fixed frequency.

[0056] The detection position of the non-invasive blood glucose measurement device can be detected at various positions such as the wrist, neck, fingertips, earlobes, etc. The patch installation methods of the signal transmitter and the signal receiver can be divided into two types: separate patches and integrated patches.

[0057] In one or more embodiments, an electronic device is provided that includes a central processing unit (CPU), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage portion into a random access memory (RAM). In the RAM, various programs and data required for system operation are also stored. The central processing unit, ROM, and RAM are connected to each other via a bus 404. An input / output (I / O) interface is also connected to the bus.

[0058] The following components are connected to the I / O interface: an input section including a keyboard, a mouse, etc.; an output section including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section including a hard disk, etc.; and a communication section including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. Removable media, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., are installed on the drive as needed so that a computer program read therefrom is installed into the storage section as needed.

[0059] When the central processing unit in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in the non-invasive blood glucose measurement method are shown.

[0060] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing Figure 1 In such an embodiment, the computer program can be downloaded and installed from a network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit 401, various functions defined in the device of the present application are executed.

[0061] in, Figure 1 The computer program instructions corresponding to the method shown may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0062] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0063] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A non-invasive blood glucose measurement method, characterized in that: include: Extracting signal wave characteristic parameters of the resonance signal when it propagates in the blood vessel according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region; According to all signal wave characteristic parameters in a single detection process and a pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, a blood viscosity value of a single detection is obtained; According to the single-test blood viscosity value and the pre-constructed positive correlation model between the single-test blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value is obtained.

2. The non-invasive blood glucose measurement method according to claim 1, characterized in that: The process of determining the resonance frequency and resonance incident angle of the current individual target blood vessel region is as follows: Signal waves of different frequencies are incident on the target blood vessel area of ​​the same individual at a fixed angle, and the frequency corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined and used as the resonance frequency of the current individual. The fixed angle is the resonance angle of the current individual.

3. The non-invasive blood glucose measurement method according to claim 1, characterized in that: The process of determining the resonance frequency and resonance incident angle of the current individual target blood vessel region is as follows: A signal wave of a fixed frequency is incident on the target blood vessel area of ​​the same individual at different angles, and the fixed angle corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined as the resonance angle of the current individual, and the fixed frequency is the resonance frequency of the current individual.

4. The non-invasive blood glucose measurement method according to claim 1, characterized in that: The expression of the relationship model between the signal wave characteristic parameters and blood viscosity is: in: for Blood viscosity value at the moment; is the number of measurements in a single detection process, is the number of characteristic parameters of the signal wave, is the characteristic parameter of the signal wave; is a constant term, representing the offset of the model; are the regression coefficients of the characteristic parameters of each signal wave, representing the influence of each feature on blood viscosity.

5. The non-invasive blood glucose measurement method according to claim 1, characterized in that: The positive correlation model between the blood viscosity value and blood glucose concentration of a single test is: in: is the blood viscosity value; It is the basic blood viscosity measured in the fasting state; For the moment Blood sugar concentration at any time; is the sensitivity coefficient of changes in blood glucose concentration to blood viscosity.

6. A non-invasive blood glucose measurement device, characterized in that: include: A signal wave characteristic parameter extraction module, which is used to extract the signal wave characteristic parameters of the resonance signal when it propagates in the blood vessel according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel area; A blood viscosity calculation module, which is used to obtain the blood viscosity value of a single test according to all signal wave characteristic parameters in a single test process and a pre-constructed relationship model between the signal wave characteristic parameters and the blood viscosity; The blood glucose concentration calculation module is used to obtain the corresponding blood glucose concentration value according to the blood viscosity value of a single test and a pre-constructed positive correlation model between the blood viscosity value of a single test and the blood glucose concentration.

7. A non-invasive blood glucose measuring device, characterized in that: include: A signal transmitting end, which is arranged at the incident point of the signal wave and is used to transmit the signal wave; A signal receiving end, which is arranged at the emission point of the signal wave; the signal receiving end is used to receive the reflected wave of the signal wave; A signal processor configured to: According to the signal wave information transmitted by the signal transmitting end and the signal receiving end, the resonance frequency and the resonance incident angle corresponding to the current individual are determined; Extracting signal wave characteristic parameters of the resonance signal when propagating in the blood vessel according to the determined resonance frequency and resonance incident angle of the current individual target blood vessel region; According to all signal wave characteristic parameters in a single detection process and a pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, a blood viscosity value of a single detection is obtained; According to the single-test blood viscosity value and the pre-constructed positive correlation model between the single-test blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value is obtained.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the non-invasive blood glucose measurement method as described in any one of claims 1 to 5 are implemented.

9. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps in the non-invasive blood glucose measurement method as described in any one of claims 1 to 5 are implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the non-invasive blood glucose measurement method according to any one of claims 1 to 5 are implemented.

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