Non-invasive blood glucose measurement method, device, medium, product and equipment

Abstract

The application belongs to the field of blood glucose detection, and provides a non-invasive blood glucose measurement method, device, medium, product and equipment. The method comprises the following steps: extracting signal wave characteristic parameters of a resonance signal during the propagation in a blood vessel according to a predetermined resonance frequency and resonance incident angle of a current individual target blood vessel region; obtaining a blood viscosity value of single detection according to all signal wave characteristic parameters in a single detection process and a relationship model between the signal wave characteristic parameters and blood viscosity which is constructed in advance; and obtaining a corresponding blood glucose concentration value according to the blood viscosity value of single detection and a positive correlation model between the blood viscosity value of single detection and the blood glucose concentration which is constructed in advance.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of blood glucose detection, and particularly relates to a non-invasive blood glucose measurement method, device, medium, product and equipment. BACKGROUND

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

[0003] Blood glucose is an important physiological indicator of human metabolic health. Abnormal blood glucose levels can lead to various metabolic diseases, such as diabetes, hyperglycemia and hypoglycemia. Traditional blood glucose detection methods mainly rely on blood sampling, such as finger prick blood sampling and venous blood sampling. Although these methods have high accuracy, they require invasive procedures, causing pain, inconvenience and infection risk for patients. In addition, such methods cannot achieve real-time monitoring, making it difficult to meet the demand for dynamic blood glucose monitoring.

[0004] Existing blood glucose detection technologies include optical detection technologies (such as near-infrared spectroscopy and Raman spectroscopy) and electrochemical detection technologies. Optical detection technologies estimate blood glucose concentration by analyzing the interaction of light with chemical components in the skin and tissue. However, these methods are limited by the scattering, 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 detection results. In addition, optical devices are large in size and difficult to achieve portability. Electrochemical detection technologies use non-invasive sweat or saliva samples to detect blood glucose concentration, but the glucose concentration in body fluids is usually low and highly variable, with weak correlation with blood glucose concentration. In addition, sweat and saliva samples are easily contaminated by the environment and other substances in the body, affecting the repeatability and reliability of the detection. SUMMARY

[0005] To solve the above technical problems, the present application provides a non-invasive blood glucose measurement method, device, medium, product and equipment, which can non-invasively and real-time monitor blood glucose concentration.

[0006] To achieve the above purpose, the present application adopts the following technical solutions:

[0007] The first aspect of the present application provides a non-invasive blood glucose measurement method.

[0008] In one or more embodiments, a non-invasive blood glucose measurement method is provided, comprising:

[0009] According to the predetermined resonant frequency and resonant incident angle of the current individual target blood vessel region, the signal wave characteristic parameters of the resonant signal when propagating in the blood vessel are extracted;

[0010] 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 in a single detection is obtained.

[0011] According to the blood viscosity value in a single detection and a pre-constructed positive correlation model between the blood viscosity value in a single detection and a blood glucose concentration, a corresponding blood glucose concentration value is obtained.

[0012] As an implementation, the process of determining the resonance frequency and the resonance incident angle of the target blood vessel region of the current individual is as follows:

[0013] Signal waves of different frequencies are incident to the target blood vessel region 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 as the resonance frequency of the current individual, and the fixed angle is the resonance angle of the current individual.

[0014] As an implementation, the process of determining the resonance frequency and the resonance incident angle of the target blood vessel region of the current individual is as follows:

[0015] Signal waves of a fixed frequency are incident to the target blood vessel region 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.

[0016] As an implementation, the expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is as follows:

[0017]

[0018] Wherein: is the blood viscosity value at the moment t; is the blood viscosity value at the moment t; is the number of measurements in a single detection process, is the number of signal wave characteristic parameters, is the signal wave characteristic parameter; is a constant term, indicating the offset of the model; is the regression coefficient of each signal wave characteristic parameter, representing the influence degree of each characteristic on the blood viscosity.

[0019] As an implementation, the positive correlation model between the blood viscosity value in a single detection and the blood glucose concentration is as follows:

[0020]

[0021] Wherein: is the blood viscosity value; is the basic blood viscosity measured in a fasting state; is the blood glucose concentration at the moment t; is the blood glucose concentration at the moment t; a sensitivity coefficient of blood glucose concentration change to blood viscosity.

[0022] A second aspect of the present application provides a non-invasive blood glucose measurement device.

[0023] In one or more embodiments, a non-invasive blood glucose measurement device comprises: a signal wave characteristic parameter extraction module configured to extract signal wave characteristic parameters of a resonant signal propagating in a blood vessel according to a predetermined resonant frequency and resonant incident angle of a target blood vessel region of a current individual;

[0024] a blood viscosity calculation module configured to obtain 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 signal wave characteristic parameters and blood viscosity;

[0025] a blood glucose concentration calculation module configured to obtain a corresponding blood glucose concentration value according to the blood viscosity value of a single detection and a pre-constructed positive correlation model between the blood viscosity value of a single detection and blood glucose concentration.

[0026] In one or more embodiments, another non-invasive blood glucose measurement device comprises: a signal transmitting end disposed at a signal wave incident point position and configured to transmit a signal wave;

[0027] a signal receiving end disposed at a signal wave exit point position and configured to receive a reflected wave of the signal wave;

[0028] a signal processor configured to:

[0029] determine a resonant frequency and a resonant incident angle corresponding to the current individual according to signal wave information transmitted by the signal transmitting end and the signal receiving end;

[0030] extract signal wave characteristic parameters of a resonant signal propagating in a blood vessel according to the determined resonant frequency and resonant incident angle of a target blood vessel region of the current individual;

[0031] obtain 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 signal wave characteristic parameters and blood viscosity;

[0032] obtain a corresponding blood glucose concentration value according to the blood viscosity value of a single detection and a pre-constructed positive correlation model between the blood viscosity value of a single detection and blood glucose concentration.

[0033] A third aspect of the present application provides a computer readable storage medium.

[0034] A computer readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the steps in the non-invasive blood glucose measurement method described above.

[0035] A fourth aspect of the present application provides a computer program product.

[0036] A computer program product comprising computer programs / instructions which, when executed by a processor, implement the steps of the non-invasive blood glucose measurement method as described above.

[0037] A fifth aspect of the present application provides an electronic device.

[0038] An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the non-invasive blood glucose measurement method as described above when executing the program.

[0039] Compared with the prior art, the present application has the following beneficial effects:

[0040] In the process of non-invasive blood glucose detection of the present application, the change of blood viscosity is analyzed according to the signal resonance principle, the resonance characteristics of signal waves are extremely sensitive to the slight change of medium physical parameters, the influence of blood glucose on blood viscosity is considered, the signal wave characteristic parameters related to blood viscosity are extracted, and then the relationship model of signal wave characteristic parameters and blood viscosity is constructed in advance to obtain the blood viscosity value of single detection, and based on the positive correlation model between the blood viscosity value of single detection and the blood glucose concentration, the corresponding blood glucose concentration value is obtained, thereby improving the accuracy of blood glucose concentration change detection. BRIEF DESCRIPTION OF DRAWINGS

[0041] The accompanying drawings, which form a part of this application, are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and serve to explain the present application, and do not constitute an inappropriate limitation on the present application.

[0042] Figure 1 is a flowchart of the non-invasive blood glucose measurement method of the embodiment of the present application;

[0043] Figure 2 is a schematic diagram of the resonance change principle of signal waves of the embodiment of the present application;

[0044] Figure 3 is a schematic diagram of different blood glucose concentrations and the intensity of reflected signal waves of the embodiment of the present application;

[0045] Figure 4 is a schematic diagram of the non-invasive blood glucose measurement device structure of the embodiment of the present application. DETAILED DESCRIPTION

[0046] The present application will be further described below in combination with the drawings and embodiments.

[0047] It should be noted that the following detailed description is illustrative only, and is intended to provide further description in order to provide a thorough understanding of the present application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the application pertains.

[0048] It is also important to note that the term "exemplary" as used herein means "serving as an example, instance, or illustration," and should not necessarily be construed as preferred or advantageous over other examples. Unless otherwise indicated, the use of relational terms such as first, second, and the like do not denote a physical or logical relationship, but are used merely for distinguishing between various features. In addition, it should be understood that the terms "comprise," "comprising," "include," "including," and / or "contain," "containing," or variants thereof, are intended to be open-ended transitional phrases, terms, and / or words that do not limit the various components, items, and / or objects described therein to the listed components, items, and / or objects.

[0049] The principle of non-invasive blood glucose measurement of the present application is:

[0050] First, the signal source emits a signal wave into the target blood vessel region. The signal wave is reflected by the particles in the blood. The reflected signal characteristics, such as the reflection intensity, can be detected by the sensor. By adjusting the angle or frequency of the incident signal wave, the signal wave in the blood vessel and the particles in the blood will resonate, and the energy of the signal wave will be transferred to the particles in the blood. The characteristics of the reflected signal wave will change significantly, such as a sharp drop in reflection intensity. Since the resonance of the signal wave and the particles in the blood vessel is also affected by the viscosity of the blood, that is, at the current time, the signal wave and the particles in the blood resonate, and the reflected signal characteristic value is detected. Subsequently, if the blood viscosity changes, the resonance environment changes, the resonance effect of the signal wave and the particles in the blood weakens or even no longer resonates, and the reflected signal characteristic value changes. This change is related to the blood viscosity, and by constructing a correlation model, the change in the characteristic value can be measured, and the blood viscosity change can be continuously monitored non-invasively; according to the pre-constructed positive correlation model between the single detection blood viscosity value and the blood glucose concentration, the corresponding blood glucose concentration value can be obtained.

[0051] In the present application, 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, resonance phenomenon occurs, resulting in changes in the propagation speed, reflection, scattering, etc. of the sound wave in the medium. When measuring blood viscosity using the signal wave resonance method, resonance phenomenon occurs when the signal wave interacts with the medium, which usually occurs through a "transmission resonance" method. At this time, the resonance frequency is determined by the density, viscosity, elasticity, elastic modulus, absorption coefficient, etc. of the substances in the blood, which affect the propagation, reflection, refraction, absorption, etc. of the sound wave in the medium.

[0052] When the incident angle, frequency, etc. of the signal wave matches certain physical properties of the blood or blood vessel tissue, specific wave propagation phenomena can be caused. At certain frequencies, the wavelength of the signal wave is just comparable to the size of the small particles in the blood (such as blood cells, lipid particles, etc.), leading to resonance phenomenon between the signal wave and these particles. In the resonance state, the signal wave drives the blood components to vibrate together and the mechanical vibration with significantly increased amplitude, 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 vibration, part of the energy is further converted into heat energy. Therefore, in the resonance state, the energy of the reflected signal wave is reduced, and the reflection intensity reaches the minimum.

[0053] The change of blood viscosity is related to the change of various substances, and the protein, cholesterol, glucose, etc. in the human body can all affect the change of blood viscosity. Among them, in addition to glucose and other substances, the change of the influence of cholesterol on blood viscosity is a long-term and slow process, so the change of cholesterol on blood viscosity can be ignored within a day. Compared with other substances, the change of glucose before and after meals is more obvious, so the change of blood viscosity is mainly caused by the change of blood glucose concentration. Therefore, by observing the change of blood viscosity within a day, the change of blood glucose concentration in the human body can be reflected. When used for a long time, the blood glucose meter needs to be calibrated regularly, so as to exclude the measurement error caused by the change of the concentration of other blood substances.

[0054] In the fasting state of the human body, a multi-frequency signal wave is used to scan to find a suitable incident angle and resonance frequency of the signal wave When the blood glucose 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 glucose concentration increases or decreases, the signal wave gradually deviates from the original resonance state with the blood system, the energy loss and conversion gradually decrease, and the reflection intensity gradually increases. The change principle diagram is shown in Figure 2 , and the diagram of different blood glucose concentrations and the intensity of the reflected signal wave is shown in Figure 3 .

[0055] The non-invasive blood glucose measurement method in the embodiment shown in Figure 1 may include:

[0056] S101, according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region, the signal wave characteristic parameters of the resonance signal during the propagation in the blood vessel are extracted.

[0057] In step S101, in some optional embodiments, the signal wave is incident 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 intensity of the received signal wave is detected. When the signal wave frequency increases, its reflection intensity is detected. When it reaches the lowest point, record the frequency at that moment is the resonant frequency. The fixed angle is the resonance angle of the current individual.

[0058] 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 lowest is determined as the resonance angle of the current individual, and the fixed frequency is the resonance frequency of the current individual.

[0059] 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 blood viscosity.

[0060] In step S102, the relationship model between the signal wave characteristic parameters and the blood viscosity is expressed as follows:

[0061]

[0062] 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.

[0063] 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 in the phase of the signal wave, and the reflection intensity of the signal wave;

[0064] Among them, the distance between the signal wave incident point and the emission point and incident angle Fixed, by continuously transmitting 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. Its calculation formula is: ;

[0065] in, is the speed of sound, The bulk modulus of the medium, The medium density is

[0066] In the actual measurement process, the signal wave propagation time and distance can be obtained by measuring the signal wave, and the specific calculation formula is as follows: ;

[0067] Wherein, is the distance between the signal wave incident point and the exit point, is the propagation time of the signal wave from the signal wave incident point and the exit point.

[0068] When the viscosity increases, the propagation speed of the signal wave will generally slow 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 will generally increase, because the low viscosity blood has smaller resistance to the signal wave. By measuring the signal wave propagation time (time delay) or propagation speed, the direction of change of blood viscosity can be inferred.

[0069] 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 the attenuation rate will also change accordingly. The specific calculation formula is as follows: ;

[0070] Wherein, is the intensity of the signal wave at the detection point, is the initial signal wave intensity.

[0071] In the resonance phenomenon, due to the interaction of the signal wave with the blood or the blood vessel, the phase of the reflected wave will change. When the blood viscosity increases, the propagation speed of the signal wave slows down, and the phase delay increases relatively, and 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 has the following relationship:

[0072] ; ;

[0073] Wherein, 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.

[0074] In some screenshot embodiments, the signal wave characteristic parameter and blood viscosity relationship model can be fitted by using a machine learning or deep learning method 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 calibration model, etc. For example, the expression of the signal wave characteristic parameter and blood viscosity relationship model obtained by fitting is as follows:

[0075]

[0076] wherein, is the blood viscosity value of a single detection; is the number of measurements in a single detection process; represents different measurement times; is the signal wave propagation speed in blood of the i-th measurement, is the signal wave attenuation rate of the i-th measurement; is the signal wave phase change in the i-th measurement; is the signal wave reflection intensity of the i-th measurement; is a constant term, indicating the offset of the relationship model; are the regression coefficients of the corresponding signal wave characteristic parameters, representing the influence degree of the corresponding signal wave characteristic parameters on blood viscosity; The expression of the above-mentioned signal wave characteristic parameter and blood viscosity relationship model is as described above. The expression of the above-mentioned signal wave characteristic parameter and blood viscosity relationship model is as described above.

[0077] In other embodiments, the signal wave characteristic parameter and blood viscosity relationship model can also be implemented by using other expressions, which are not described in detail here.

[0078] The blood viscosity measurement is performed multiple times within one day before use, and the characteristic values are obtained by using the method at the same time. The blood viscosity detection value is input into the model to calibrate the individual, and the parameter correction of the fitted curve is performed to make it more suitable for individual measurement.

[0079] S103, according to the blood viscosity value of a single detection and the positive correlation model between the blood viscosity value of a single detection and the blood glucose concentration constructed in advance, the corresponding blood glucose concentration value is obtained.

[0080] ​​​​​​In step S103, the influence of the fluctuation of the human blood glucose level on the blood viscosity is a dynamic process, and the blood viscosity can be used to predict the human blood glucose concentration. The blood glucose concentration affects the blood osmotic pressure, thereby indirectly affecting the blood viscosity, and the relationship between the two is: ;

[0081] wherein, is the blood viscosity obtained by the prediction model, is the basic blood viscosity obtained by measurement in a fasting state, is the blood glucose concentration at time . is the sensitivity coefficient of the change of the blood glucose concentration on the blood viscosity, which needs to be obtained by fitting a deep learning, machine learning or other model.

[0082] After the blood glucose-blood viscosity model is established, the blood glucose concentration can be measured by the blood viscosity, and the calculation formula is as follows: ;

[0083] wherein, is the reverse mapping function for converting the blood viscosity value into the blood glucose value.

[0084] Figure 4 is a structure diagram of a non-invasive blood glucose measurement device in an embodiment of the present application, which corresponds to the non-invasive blood glucose measurement method in Figure 1 , as shown in Figure 4 , the non-invasive blood glucose measurement device in the present embodiment can include:

[0085] a signal wave characteristic parameter extraction module 401, configured to extract signal wave characteristic parameters of a resonant signal when the resonant signal propagates in a blood vessel according to a predetermined resonant frequency and a resonant incident angle of a current individual target blood vessel region;

[0086] a blood viscosity calculation module 402, configured to obtain a blood viscosity value of a single detection according to all signal wave characteristic parameters in a single detection process and a relationship model between the signal wave characteristic parameters and the blood viscosity which is constructed in advance;

[0087] a blood glucose concentration calculation module 403, configured to obtain a corresponding blood glucose concentration value according to the blood viscosity value of the single detection and a positive correlation model between the blood viscosity value of the single detection and the blood glucose concentration which is constructed in advance.

[0088] It should be noted that, Figure 4 each module in the non-invasive blood glucose measurement device in Figure 1 corresponds to each step in the non-invasive blood glucose measurement method in , and the specific implementation process is the same, which will not be repeated here.

[0089] In some embodiments, a non-invasive blood glucose measurement device is provided, comprising:

[0090] a signal transmitting end disposed at the incident point of the signal wave, for transmitting the signal wave;

[0091] a signal receiving end disposed at the exit point of the signal wave; the signal receiving end is used for receiving the reflected wave of the signal wave;

[0092] a signal processor configured to:

[0093] determine the resonance frequency and the resonance incident angle corresponding to the current individual according to the signal wave information transmitted by the signal transmitting end and the signal receiving end;

[0094] extract the 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 target blood vessel region of the current individual;

[0095] obtain the blood viscosity value of a single detection according to all the signal wave characteristic parameters in the single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and the blood viscosity;

[0096] obtain the corresponding blood glucose concentration value according to the blood viscosity value of a single detection and the pre-constructed positive correlation model between the blood viscosity value of a single detection and the blood glucose concentration.

[0097] 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 the resonance, the signal transmitting end and the signal receiving end can adopt the form of patch, for example, the signal wave is incident at a fixed angle and a fixed frequency.

[0098] The detection position of the non-invasive blood glucose measurement device can be at various positions such as wrist, neck, fingertip, earlobe, etc. The patch mounting mode of the signal transmitting end and the signal receiving end can be divided into two types: separate patch and integrated patch.

[0099] In one or more embodiments, an electronic device is provided, including a central processing unit (CPU) that can perform various appropriate actions and processes according to programs stored in a read-only memory (ROM) or programs loaded from a storage section into a random access memory (RAM). In the RAM, various programs and data required for system operation are also stored. The central processing unit, the ROM, and the RAM are connected to each other through a bus 404. An input / output (I / O) interface is also connected to the bus.

[0100] The following components are connected to the I / O interface: an input part including a keyboard, a mouse, etc.; an output part including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage part including a hard disk, etc.; and a communication part including a network interface card such as a local area network (LAN) card, a modem, etc. The communication part performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as necessary. A removable medium such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is attached to the drive as necessary, so that a computer program read out therefrom is installed in the storage part as necessary.

[0101] The central processing unit in the electronic device of the present embodiment implements the steps in the non-invasive blood glucose measurement method as Figure 1 shown when executing the program.

[0102] In particular, according to embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing program code for executing the method as Figure 1 shown. In such embodiments, the computer program can be downloaded and installed from a network via 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 apparatus of the present application are performed.

[0103] The computer program instructions corresponding to the method as Figure 1 shown can also be stored in a computer readable storage medium capable of directing a computer or other programmable data processing apparatus to work in a specific manner, so that the instructions stored in the computer readable storage medium produce a manufactured product including instruction apparatus, which implements the functions specified in the flow Figure 1 charts or multiple flowcharts and / or blocks Figure 1 or multiple blocks.

[0104] It can be understood by those of ordinary skill in the art that all or part of the flowcharts in the above-described embodiments can be implemented by a computer program instructing relevant hardware, and the program can be stored in a computer readable storage medium. When the program is executed, it can include the flowcharts of the above-described embodiments of the methods. The storage medium can be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), etc.

[0105] The above merely provides the preferred embodiments of the present application, and is not used to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modifications, equivalent replacements, improvements, etc. made within the principles and technical scope of the present application shall fall into the scope of the present application.

Claims

1. A non-invasive blood glucose measurement method, characterized by, The method comprises the following steps: According to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region, the signal wave characteristic parameters of the resonant signal propagating in the blood vessel are extracted; the signal wave characteristic parameters include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the phase change of the signal wave and the reflection intensity of the signal wave; According to all the signal wave characteristic parameters in the single detection process and the relationship model between the signal wave characteristic parameters and the blood viscosity, the blood viscosity value of single detection is obtained; According to the blood viscosity value of single detection and the positive correlation model between the blood viscosity value of single detection and the blood glucose concentration, the corresponding blood glucose concentration value is obtained; Wherein, the process of determining the resonance frequency and resonance incident angle of the current individual target blood vessel region is: the signal wave of different frequencies is incident to the target blood vessel region 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 as the resonance frequency of the current individual, and the fixed angle is the resonance angle of the current individual; or the process of determining the resonance frequency and resonance incident angle of the current individual target blood vessel region is: the signal wave of a fixed frequency is incident to the target blood vessel region 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; The expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is: wherein, is a blood viscosity value of a single detection; is a number of measurements in a single detection process; represents different measurement times; is a signal wave propagation speed in blood of the measurement; is an attenuation rate of the signal wave of the measurement; is a change in the signal wave phase in the measurement; is a reflection intensity of the signal wave of the measurement; is a constant term, representing a deviation of the relationship model; are regression coefficients of the corresponding signal wave characteristic parameters, respectively, representing an influence degree of the corresponding signal wave characteristic parameters on the blood viscosity; The phase change, the propagation path of the sound wave in the medium and the physical characteristics of the medium have the following relationship: ； ； wherein is a phase change of the signal wave, is an incident length of the signal wave, is an incident frequency of the signal wave, is a propagation speed of the signal wave; The positive correlation model between the blood viscosity value of single detection and the blood glucose concentration is: wherein: is the blood viscosity measured at the fasting state; is the blood glucose concentration at the time instant; is the blood glucose concentration at the time instant; is the sensitivity coefficient of the blood glucose concentration change on the blood viscosity. After the blood glucose-blood viscosity model is established, the blood glucose concentration is measured by blood viscosity, and the calculation formula is as follows: ; wherein, is a reverse mapping function, which converts the blood viscosity value into the blood glucose value.

2. A non-invasive blood glucose measurement device, characterized by, The method comprises the following steps: The signal wave characteristic parameter extraction module is used for extracting the signal wave characteristic parameters of the resonant signal propagating in the blood vessel according to the predetermined resonance frequency and resonance incident angle of the current individual target blood vessel region; the signal wave characteristic parameters include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the phase change of the signal wave and the reflection intensity of the signal wave; The blood viscosity calculation module is used for obtaining the blood viscosity value of single detection according to all the signal wave characteristic parameters in the single detection process and the relationship model between the signal wave characteristic parameters and the blood viscosity; The blood glucose concentration calculation module is used for obtaining the corresponding blood glucose concentration value according to the blood viscosity value of single detection and the positive correlation model between the blood viscosity value of single detection and the blood glucose concentration; Wherein, the process of determining the resonance frequency and resonance incident angle of the current individual target blood vessel region is: the signal wave of different frequencies is incident to the target blood vessel region 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 as the resonance frequency of the current individual, and the fixed angle is the resonance angle of the current individual; or the process of determining the resonance frequency and resonance incident angle of the current individual target blood vessel region is: the signal wave of a fixed frequency is incident to the target blood vessel region 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; The expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is: wherein, is a blood viscosity value of a single detection; is a number of measurements in a single detection process; represents different measurement times; is a signal wave propagation speed in blood of the measurement; is an attenuation rate of the signal wave of the measurement; is a change of the signal wave phase in the measurement; is a reflection intensity of the signal wave of the measurement; is a constant term, representing a shift of the relationship model; are regression coefficients of the corresponding signal wave characteristic parameters, respectively, representing an influence degree of the corresponding signal wave characteristic parameters on the blood viscosity. The phase change has the following relationship with the propagation path of the sound wave in the medium and the physical characteristics of the medium: ； ； wherein is a phase change of the signal wave, is an incident length of the signal wave, is an incident frequency of the signal wave, is a propagation speed of the signal wave; The positive correlation model between the blood viscosity value of single detection and the blood glucose concentration is: wherein: is the basal blood viscosity obtained from measurements in the fasting state; is the blood glucose concentration at time is the blood glucose concentration at time is the sensitivity coefficient of the blood glucose concentration change on the blood viscosity. After the blood glucose-blood viscosity model is established, the blood glucose concentration is measured by blood viscosity, and the calculation formula is as follows: ; wherein, is a reverse mapping function, which converts the blood viscosity value into the blood glucose value.

3. A non-invasive blood glucose measurement device, characterized by, The expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is: A signal transmitting end is arranged at the incident point of the signal wave, and is configured to transmit the signal wave; A signal receiving end is arranged at the exit point of the signal wave, and is configured to receive the reflected wave of the signal wave; A signal processor is configured to: determine the resonance frequency and the resonance incident angle corresponding to the current individual according to the signal wave information transmitted by the signal transmitting end and the signal receiving end; extract the signal wave characteristic parameters of the resonance signal when the resonance signal propagates in the blood vessel according to the determined resonance frequency and resonance incident angle of the target blood vessel region of the current individual; the signal wave characteristic parameters include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the phase change of the signal wave, and the reflection intensity of the signal wave; obtain the blood viscosity value of single detection according to all the signal wave characteristic parameters in the single detection process and the relationship model between the signal wave characteristic parameters and the blood viscosity constructed in advance; obtain the blood glucose concentration value according to the blood viscosity value of single detection and the positive correlation model between the blood viscosity value of single detection and the blood glucose concentration constructed in advance; The process of determining the resonance frequency and the resonance incident angle of the target blood vessel region of the current individual is: the signal wave of different frequencies is incident to the target blood vessel region 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 as the resonance frequency of the current individual, and the fixed angle is the resonance angle of the current individual; or the process of determining the resonance frequency and the resonance incident angle of the target blood vessel region of the current individual is: the signal wave of a fixed frequency is incident to the target blood vessel region 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; The expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is: wherein, is a blood viscosity value of a single detection; is a number of measurements in a single detection process; represents different measurement times; is a signal wave propagation speed in blood of the measurement; is an attenuation rate of the signal wave of the measurement; is a change in the signal wave phase in the measurement; is a reflection intensity of the signal wave of the measurement; is a constant term, representing a shift of the relationship model; are regression coefficients of the corresponding signal wave characteristic parameters, respectively, representing an influence degree of the corresponding signal wave characteristic parameters on the blood viscosity. The phase change has the following relationship with the propagation path of the sound wave in the medium and the physical characteristics of the medium: ； ； wherein is a phase change of the signal wave, is an incident length of the signal wave, is an incident frequency of the signal wave, is a propagation speed of the signal wave; The positive correlation model between the blood viscosity value of single detection and the blood glucose concentration is: wherein: is the basal blood viscosity obtained from measurements in the fasting state; is the blood glucose concentration at time is the blood glucose concentration at time is the sensitivity coefficient of the blood glucose concentration change on the blood viscosity. After the blood glucose-blood viscosity model is established, the blood glucose concentration is measured by blood viscosity, and the calculation formula is as follows: ; wherein, is a reverse mapping function, which converts the blood viscosity value into the blood glucose value.

4. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to realize the steps in the non-invasive blood glucose measurement method of claim 1.

5. A computer program product comprising computer programs / instructions, characterized in that, The computer program / instructions are executed by the processor to realize the steps in the non-invasive blood glucose measurement method of claim 1.

6. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to realize the steps in the non-invasive blood glucose measurement method of claim 1.

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