Noninvasive blood viscosity monitoring method and system based on resonance

Through the resonance of signal waves with particles in the blood, the characteristic parameters of signal waves are analyzed, and the blood viscosity model is constructed, which solves the non-invasive and real-time problems of blood viscosity detection in the prior art, and achieves high-sensitivity blood viscosity monitoring.

CN119302622AActive Publication Date: 2025-01-14SHANDONG UNIV
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Patent Information

Application Number
CN202411811548.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-01-14
Estimated Expiration
2044-12-10

AI Technical Summary

Technical Problem

Existing blood viscosity detection methods require inventive samples collection, which cannot achieve real-time monitoring and is difficult to capture dynamic changes.

Method used

Using a non-invasive method based on resonance, the signal wave characteristic parameters are analyzed to monitor blood viscosity in a non-invasive way in real time by resonating with particles in the blood through signal waves (such as ultrasound, microwave, laser). It includes determining the resonance frequency and angle, extracting propagation speed, and attenuation. Rate, phase change and reflection intensity are used to construct a relationship model between signal wave characteristic parameters and blood viscosity.

Benefits of technology

It realizes non-invasive blood viscosity detection in the human body, improves detection sensitivity, and can monitor changes in blood viscosity for a long time and captures slight viscosity changes.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the field of blood viscosity monitoring, and provides a non-invasive blood viscosity monitoring method and system based on resonance. The method comprises the following steps: determining a corresponding resonance frequency and a resonance incident angle; the signal waves with the resonance frequency are incident to the target blood vessel area of the current individual at the resonance incident angle during each measurement, and the signal wave characteristic parameters during each measurement are extracted; the signal wave characteristic parameters comprise 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 the propagation speed change condition of the signal wave in the blood in the single detection process, the blood viscosity change direction of single detection is deduced; and based on all the signal wave characteristic parameters in the single detection process and a pre-constructed relation model between the signal wave characteristic parameters and the blood viscosity, obtaining a blood viscosity value of single detection.
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Description

Technical Field

[0001] The invention belongs to the field of blood viscosity monitoring, and in particular relates to a resonance-based non-invasive blood viscosity monitoring method and system. 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 viscosity is an important parameter that reflects the rheological properties of blood and directly affects the fluidity of blood in blood vessels. Blood viscosity is closely related to blood rheology, vascular elasticity, blood cell aggregation properties, etc., and plays a key role in the human blood circulation system.

[0004] At present, the detection of blood viscosity mainly relies on invasive methods such as centrifugation, capillary and lamina viscometer. Although these methods have high accuracy and mature technical means, they are usually carried out in laboratory environments and still have shortcomings and limitations in actual use. For example, the collection of blood samples usually requires invasive extraction, which may lead to risks such as infection. In addition, these methods require patients to go to the hospital for testing regularly, which cannot achieve real-time monitoring and it is difficult to capture the dynamic changes of blood viscosity. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a resonance-based non-invasive blood viscosity monitoring method and system, which realizes non-invasive and real-time monitoring of blood viscosity through the reflection of signal waves (such as ultrasound, microwaves, lasers) and the analysis of the resonance frequency of traveling waves and particles in the blood (such as red blood cells, white blood cells, platelets).

[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 resonance-based non-invasive blood viscosity monitoring method.

[0007] In one or more embodiments, a resonance-based non-invasive blood viscosity monitoring method is provided, comprising: The signal wave is incident on the target blood vessel area of ​​the current individual to determine its corresponding resonance frequency and resonance incident angle; During each measurement, a signal wave of a resonant frequency is incident on a target blood vessel region of the current individual at a resonant incident angle, and characteristic parameters of the signal wave during each measurement are extracted; the characteristic parameters of the signal wave include a propagation speed of the signal wave in the blood, an attenuation rate of the signal wave, a change in the phase of the signal wave, and a reflection intensity of the signal wave; According to the change of the propagation speed of the signal wave in the blood during a single detection process, the change direction of the blood viscosity of a single detection is inferred; based on all the signal wave characteristic parameters in the single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0008] As an implementation of the first aspect of the present invention, the expression of the relationship model between the signal wave characteristic parameter and the blood viscosity is:

[0009] 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 speed of the signal wave measured in the blood; 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.

[0010] As an implementation mode of the first aspect of the present invention, The propagation speed of the signal wave in the blood is , whose expression is:

[0011] in, is the distance between the incident point and the exit point of the signal wave, For the The time it takes for a signal wave to travel from the incident point to the exit point.

[0012] As an implementation mode of the first aspect of the present invention, The change in the signal wave phase in the measurement is , whose expression is:

[0013] in, is the incident length of the signal wave; is the signal wave incident frequency, that is, the resonance frequency.

[0014] As an implementation mode of the first aspect of the present invention, The attenuation rate of the measured signal wave is , whose expression is:

[0015] in, is the distance between the incident point and the exit point of the signal wave, is the initial signal wave strength.

[0016] As an implementation of the first aspect of the present invention, 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.

[0017] As another implementation of the first aspect of the present invention, 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.

[0018] A second aspect of the present invention provides a resonance-based non-invasive blood viscosity monitoring device.

[0019] In one or more embodiments, a resonance-based non-invasive blood viscosity monitoring device comprises: A resonance frequency and angle determination module, which is used to project the signal wave into the target blood vessel area of ​​the current individual to determine its corresponding resonance frequency and resonance incident angle; A signal wave characteristic parameter extraction module is used to inject the signal wave of the resonance frequency into the target blood vessel area of ​​the current individual at the resonance incidence angle each time for each measurement, and extract the signal wave characteristic parameters for each measurement; the signal wave characteristic parameters include 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; The blood viscosity detection module is used to infer the direction of change of blood viscosity in a single detection based on the change of the propagation speed of the signal wave in the blood during a single detection process; based on all the signal wave characteristic parameters in a single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0020] As an implementation of the second aspect of the present invention, in the blood viscosity detection module, the expression of the relationship model between the signal wave characteristic parameter and the blood viscosity is:

[0021] 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 speed of the signal wave measured in the blood; 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.

[0022] In one or more embodiments, a resonance-based non-invasive blood viscosity monitoring device is also provided, comprising: A signal wave transmitter, which transmits a signal wave of a certain frequency or a continuous frequency so that it is incident on the target blood vessel area at a certain angle; A sensor probe is arranged at the emission point of the signal wave; the sensor probe 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 wave transmitter and the sensor probe, the resonance frequency and the resonance incident angle corresponding to the current individual are determined; During each measurement, a signal wave of a resonant frequency is incident on a target blood vessel region of the current individual at a resonant incident angle, and characteristic parameters of the signal wave during each measurement are extracted; the characteristic parameters of the signal wave include a propagation speed of the signal wave in the blood, an attenuation rate of the signal wave, a change in the phase of the signal wave, and a reflection intensity of the signal wave; According to the change of the propagation speed of the signal wave in the blood during a single detection process, the change direction of the blood viscosity of a single detection is inferred; based on all the signal wave characteristic parameters in the single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0023] A third aspect of the present invention provides a computer-readable storage medium.

[0024] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the resonance-based non-invasive blood viscosity monitoring method as described above.

[0025] A fourth aspect of the present invention provides an electronic device.

[0026] An electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the resonance-based non-invasive blood viscosity monitoring method as described above are implemented.

[0027] Compared with the prior art, the present invention has the following beneficial effects: (1) In the process of non-invasive blood viscosity detection of human body, the present invention analyzes the change of blood viscosity according to the principle of resonance between signal wave and microparticles in blood, extracts characteristic values ​​related to blood viscosity, and fits the characteristic values ​​to realize long-term monitoring of human blood viscosity.

[0028] (2) The present invention utilizes the phenomenon that the signal wave is incident on the target blood vessel area at a certain angle at a specific frequency, and resonates with microparticles in the blood vessel, such as red blood cells, to detect the effect of the viscosity of the medium on the resonance frequency and attenuation. It can more sensitively capture tiny viscosity changes. The signal resonance method amplifies the signal of blood viscosity changes and greatly improves the detection sensitivity. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] 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.

[0030] Figure 1 is a flow chart of a resonance-based non-invasive blood viscosity monitoring method according to an embodiment of the present invention; Figure 2 is a schematic diagram of different blood viscosities and reflected signal intensities according to an embodiment of the present invention; Figure 3 is a schematic structural diagram of a resonance-based non-invasive blood viscosity monitoring device according to an embodiment of the present invention; Figure 4 is a schematic diagram of an electronic device according to an embodiment of the present invention; Figure 5 is a schematic diagram of a resonance-based non-invasive blood viscosity monitoring device based on an integrated patch according to an embodiment of the present invention; Figure 6 It is a schematic diagram of a resonance-based non-invasive blood viscosity monitoring device based on a separate patch according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0032] 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.

[0033] 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.

[0034] The principle of the resonance-based non-invasive blood viscosity monitoring 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 characteristic value of the reflected signal is detected, then, if the blood viscosity changes, the resonance environment changes, so that the resonance effect of 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 change in blood viscosity can be continuously monitored without trauma.

[0035] In the present invention, blood viscosity is an important parameter reflecting the rheological properties of blood, which directly affects the fluidity of blood in blood vessels. It is closely related to blood rheology, vascular elasticity, blood cell agglutination properties, etc., and plays a key role in the human blood circulation system.

[0036] Signal wave resonance: The basic principle of the signal wave resonance method is to transmit 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 occurs, causing changes in the propagation speed, reflection, and scattering of the sound wave in the medium.

[0037] The substances in the blood do not have a fixed "natural frequency" like the vibration frequency of solid objects in physics. Therefore, when the signal wave resonance method is used to measure blood viscosity, the signal "resonance" used does not refer to the mechanical resonance of solid objects in the traditional sense, but refers to the resonance phenomenon when the signal wave interacts with the medium, which usually occurs in a "transfer resonance" way. 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, absorption coefficient, etc. These properties will affect the propagation, reflection, refraction, absorption and other phenomena of the medium to sound waves.

[0038] When the incident angle and frequency 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 exactly 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.

[0039] 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.

[0040] The signal resonance method uses the resonance phenomenon of sound waves at a specific frequency to detect the effect of medium viscosity on the resonance frequency and attenuation, and can more sensitively capture tiny viscosity changes. The signal resonance method amplifies the signal of blood viscosity changes and greatly improves the detection sensitivity.

[0041] Figure 1 FIG. 1 is a flow chart of a resonance-based non-invasive blood viscosity monitoring method according to an embodiment of the present invention. Figure 1 The resonance-based non-invasive blood viscosity monitoring method in the present embodiment shown may include: S101, incident the signal wave to the target blood vessel area of ​​the current individual, and determine the corresponding resonance frequency and resonance incidence angle; S102, during each measurement, a signal wave of a resonance frequency is incident on a target blood vessel region of the current individual at a resonance incident angle, and characteristic parameters of the signal wave during each measurement are extracted; the characteristic parameters of the signal wave include a propagation speed of the signal wave in the blood, an attenuation rate of the signal wave, a change in the phase of the signal wave, and a reflection intensity of the signal wave; S103, inferring the direction of change of blood viscosity in a single test according to the change of propagation speed of the signal wave in the blood during a single test; obtaining the blood viscosity value of a single test based on all signal wave characteristic parameters in a single test and a pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity.

[0042] 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.

[0043] 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.

[0044] In step S102, when the blood viscosity 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 viscosity increases or decreases, the signal wave and the blood system gradually break away from the original resonance state, the energy loss gradually decreases, and the reflection intensity gradually increases.

[0045] However, the effects of increasing and decreasing viscosity on signal wave propagation and received signals are not completely symmetrical. When the viscosity increases, the blood's obstructive effect on signal waves (absorption, scattering, etc.) is usually stronger. This effect is usually more obvious when the viscosity increases, because the blood viscosity is directly proportional to the internal friction of the fluid, which makes the wave propagation more difficult and increases energy loss. When the viscosity decreases, although the propagation speed increases and the attenuation decreases, there is not a significant increase effect like when the viscosity increases, because the lower viscosity makes the blood flow smoother and the wave propagation path changes less. Therefore, the signal increase effect is relatively weaker than when the viscosity increases. Schematic diagram of different blood viscosities and the intensity of the reflected signal wave, as shown in Figure 2 shown.

[0046] In order to better distinguish the changing trend of blood viscosity, it is also necessary to combine other signal wave characteristics for calculation and judgment. The change of blood viscosity will affect the propagation speed of the signal wave in the blood, so the change of propagation speed can be used as a key indicator to judge the increase or decrease of viscosity. 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:

[0047] in, is the speed of sound, The bulk modulus of the medium, is the medium density.

[0048] 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:

[0049] 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.

[0050] 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.

[0051] 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:

[0052] in, is the intensity of the signal wave at the detection point, is the initial signal wave strength.

[0053] 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:

[0054]

[0055] 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.

[0056] In step S103, 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 by 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. The expression of the relationship model between the signal wave characteristic parameters and the blood viscosity obtained by fitting is:

[0057] 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 speed of the signal wave measured in the blood; 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.

[0058] Among them, The propagation speed of the signal wave in the blood The expression is:

[0059] in, is the distance between the incident point and the exit point of the signal wave, For the The time it takes for a signal wave to travel from the incident point to the exit point.

[0060] No. The change of the signal wave phase in the measurement The expression is:

[0061] in, is the incident length of the signal wave; is the signal wave incident frequency, that is, the resonance frequency.

[0062] No. The attenuation rate of the measured signal wave is The expression is:

[0063] in, is the distance between the incident point and the exit point of the signal wave, is the initial signal wave strength.

[0064] During a single detection process, if the propagation speed of the signal wave in the blood slows down, the blood viscosity increases; if the propagation speed of the signal wave in the blood speeds up, the blood viscosity decreases.

[0065] 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.

[0066] In the process of non-invasive blood viscosity detection of human body, the present invention analyzes the change of blood viscosity according to the principle of signal resonance, extracts characteristic values ​​related to blood viscosity, fits the characteristic values ​​and performs long-term monitoring of human blood viscosity.

[0067] Figure 3 FIG. 1 is a schematic diagram of a non-invasive blood viscosity monitoring device based on resonance in an embodiment of the present invention. Figure 1 The resonance-based noninvasive blood viscosity monitoring method corresponds to Figure 3 As shown, the resonance-based non-invasive blood viscosity monitoring device in this embodiment may include: A resonance frequency and angle determination module 301 is used to project the signal wave into the target blood vessel region of the current individual to determine the corresponding resonance frequency and resonance incident angle; The signal wave characteristic parameter extraction module 302 is used to inject the signal wave of the resonance frequency into the target blood vessel area of ​​the current individual at the resonance incidence angle at each measurement, and extract the signal wave characteristic parameters at each measurement; the signal wave characteristic parameters include 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; The blood viscosity detection module 303 is used to infer the direction of change of blood viscosity in a single detection according to the change of the propagation speed of the signal wave in the blood during a single detection process; based on 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, the blood viscosity value of the single detection is obtained.

[0068] In the blood viscosity detection module 303, the expression of the relationship model between the signal wave characteristic parameter and the blood viscosity is:

[0069] 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 speed of the signal wave measured in the blood; 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.

[0070] It should be noted here that Figure 3 The various modules in the resonance-based non-invasive blood viscosity monitoring device are Figure 1 The various steps in the resonance-based non-invasive blood viscosity monitoring method correspond one to one, and the specific implementation process is the same, which will not be repeated here.

[0071] Reference Figure 4 , a schematic diagram of an electronic device is given. It should be noted that, Figure 4 The electronic device 400 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0072] like Figure 4As shown, the electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403. In the RAM 403, various programs and data required for system operation are also stored. The central processing unit 401, the ROM 402 and the RAM 403 are connected to each other through a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0073] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed, so that a computer program read therefrom is installed into the storage section 408 as needed.

[0074] When the central processing unit 401 in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in the resonance-based noninvasive blood viscosity monitoring method are shown.

[0075] 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 the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit 401, various functions defined in the apparatus of the present application are executed.

[0076] 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.

[0077] 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.

[0078] In other embodiments, Figure 5 and Figure 6 As shown, a resonance-based non-invasive blood viscosity monitoring device is also provided, comprising: A signal wave transmitter 501 transmits a signal wave of a certain frequency or a continuous frequency so that the signal wave is incident on a target blood vessel area at a certain angle; A sensor probe 502, which is arranged at the emission point of the signal wave; the sensor probe is used to receive the reflected wave of the signal wave; The signal processor 503 is configured to: According to the signal wave information transmitted by the signal wave transmitter and the sensor probe, the resonance frequency and the resonance incident angle corresponding to the current individual are determined; During each measurement, a signal wave of a resonant frequency is incident on a target blood vessel region of the current individual at a resonant incident angle, and characteristic parameters of the signal wave during each measurement are extracted; the characteristic parameters of the signal wave include a propagation speed of the signal wave in the blood, an attenuation rate of the signal wave, a change in the phase of the signal wave, and a reflection intensity of the signal wave; According to the change of the propagation speed of the signal wave in the blood during a single detection process, the change direction of the blood viscosity of a single detection is inferred; based on all the signal wave characteristic parameters in the single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0079] Among them, the signal wave transmitter 501 can adjust the frequency and angle, and can realize the selection of the incident angle and the resonant frequency. When the signal wave reaches resonance, the patch injects the signal wave at a fixed angle and a fixed frequency, and monitors the change of the frequency of the reflected signal wave during the change of blood viscosity. The received signal is analyzed and processed, and characteristic parameters such as the signal wave propagation speed, phase change, and attenuation rate related to the change of blood viscosity are extracted.

[0080] The resonance-based non-invasive blood viscosity monitoring device has multiple detection positions to choose from, and can be used for detection at wrists, necks, fingertips, earlobes, and other locations. The probe installation method can be divided into two types: separate patch and integrated patch. The separate probe connects the patch to the detection device by connecting the probe. The probe will follow the approximate direction of the human blood vessels and tilt the probe at a certain distance. Arrange in a straight line. During the arrangement process, it is necessary to ensure that the blood vessels being measured do not have branches or aggregations. Figure 5 It is an integrated patch structure, in which the signal wave transmitter 501 and the sensor probe 502 are integrated with the signal processor 503. Figure 6 It is a separated patch structure, in which the signal wave transmitter 501 and the sensor probe 502 are separated from the signal processor 503.

[0081] 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 resonance-based non-invasive blood viscosity monitoring method, characterized in that: include: The signal wave is incident on the target blood vessel area of ​​the current individual to determine its corresponding resonance frequency and resonance incident angle; During each measurement, a signal wave of a resonant frequency is incident on a target blood vessel region of the current individual at a resonant incident angle, and characteristic parameters of the signal wave during each measurement are extracted; the characteristic parameters of the signal wave include a propagation speed of the signal wave in the blood, an attenuation rate of the signal wave, a change in the phase of the signal wave, and a reflection intensity of the signal wave; According to the change of the propagation speed of the signal wave in the blood during a single detection process, the change direction of the blood viscosity of a single detection is inferred; based on all the signal wave characteristic parameters in the single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

2. The resonance-based non-invasive blood viscosity monitoring 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, 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 speed of the signal wave measured in the blood; 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.

3. The resonance-based non-invasive blood viscosity monitoring method according to claim 1 or 2, characterized in that: Set up The propagation speed of the signal wave in the blood is Pass The change in the signal wave phase in the measurement is , whose expression is: in, is the distance between the incident point and the exit point of the signal wave, For the The time it takes for the signal wave to travel from the incident point to the exit point; is the incident length of the signal wave; is the signal wave incident frequency, that is, the resonance frequency.

4. The resonance-based non-invasive blood viscosity monitoring method according to claim 1 or 2, characterized in that: Set up The attenuation rate of the measured signal wave is , whose expression is: in, is the distance between the incident point and the exit point of the signal wave, is the initial signal wave strength.

5. The resonance-based non-invasive blood viscosity monitoring method according to claim 1, characterized in that: 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.

6. The resonance-based non-invasive blood viscosity monitoring method according to claim 1, characterized in that: Alternatively, a signal wave of a fixed frequency is incident on 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.

7. A non-invasive blood viscosity monitoring device based on resonance, characterized in that: include: A resonance frequency and angle determination module, which is used to project the signal wave into the target blood vessel area of ​​the current individual to determine its corresponding resonance frequency and resonance incident angle; A signal wave characteristic parameter extraction module is used to inject the signal wave of the resonance frequency into the target blood vessel area of ​​the current individual at the resonance incident angle each time for each measurement, and extract the signal wave characteristic parameters for each measurement; the signal wave characteristic parameters include 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; The blood viscosity detection module is used to infer the direction of change of blood viscosity in a single detection based on the change of the propagation speed of the signal wave in the blood during a single detection process; based on all the signal wave characteristic parameters in a single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

8. The resonance-based non-invasive blood viscosity monitoring device according to claim 7, characterized in that: In the blood viscosity detection module, the expression of the relationship model between the signal wave characteristic parameters and the blood viscosity is: 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 speed of the signal wave measured in the blood; 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.

9. A non-invasive blood viscosity monitoring device based on resonance, characterized in that: include: A signal wave transmitter, which transmits a signal wave of a certain frequency or a continuous frequency so that it is incident on the target blood vessel area at a certain angle; A sensor probe is arranged at the emission point of the signal wave; the sensor probe 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 wave transmitter and the sensor probe, the resonance frequency and the resonance incident angle corresponding to the current individual are determined; During each measurement, a signal wave of a resonant frequency is incident on a target blood vessel region of the current individual at a resonant incident angle, and characteristic parameters of the signal wave during each measurement are extracted; the characteristic parameters of the signal wave include a propagation speed of the signal wave in the blood, an attenuation rate of the signal wave, a change in the phase of the signal wave, and a reflection intensity of the signal wave; According to the change of the propagation speed of the signal wave in the blood during a single detection process, the change direction of the blood viscosity of a single detection is inferred; based on all the signal wave characteristic parameters in the single detection process and the pre-constructed relationship model between the signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

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 resonance-based non-invasive blood viscosity monitoring method as described in any one of claims 1 to 6 are implemented.

Citation Information

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