Blood vessel wall feature detection system and method

Abstract

The invention relates to a blood vessel wall feature detection system and method, and belongs to the technical field of blood vessel wall measurement, and the system comprises a signal obtaining module which is used for obtaining a probe signal; the signal processing module is used for calculating the thickness of the blood vessel wall of the target body based on the ultrasonic reflection echo time difference under the condition that the probe corresponding to the probe signal is determined as the first probe within the preset time; under the condition that it is determined that a probe corresponding to the probe signal is a second probe, dynamic elastic parameters of the target body are calculated, and the dynamic elastic parameters comprise the pulse wave speed, the compliance and the dynamic elastic modulus; the correction module is used for correcting the thickness and the dynamic elastic parameter of the blood vessel wall based on an error deviation value under the condition of determining that the calculated thickness and the dynamic elastic parameter of the blood vessel wall have errors; and the display module is used for displaying the correction result and transmitting the correction result based on the communication module. According to the system, the accuracy of a measurement result is improved, and the measurement data can more truly reflect the physiological state of the target body.

Description

Technical Field

[0001] The present invention belongs to the technical field of blood vessel wall measurement, and in particular, relates to a blood vessel wall feature detection system and method. Background Art

[0002] Among the related technologies, accurate detection of blood vessel wall characteristics is crucial in the process of medical development. In the early days, it mostly relied on ultrasound technology, which sent ultrasound beams to the human body and used reflected echoes to parse information. However, as the requirements for accuracy increased, problems gradually emerged. When acquiring signals, the ultrasound probe is interfered by the complex environment, and the temperature, humidity and tissue density of different parts are different, resulting in high signal noise and distortion. In the data processing stage, the measurement of blood vessel wall thickness relies solely on the time difference of ultrasound reflection echoes, without considering interference factors; when calculating dynamic elastic parameters, the changes in blood vessels caused by multiple factors result in large deviations in the results. Therefore, how to better realize the detection of blood vessel wall characteristics has become an urgent problem to be solved. Summary of the invention

[0003] In view of the above deficiencies in the prior art, an object of the present invention is to provide a blood vessel wall feature detection system and method.

[0004] According to a first aspect of the present invention, a blood vessel wall feature detection system is proposed, comprising: a signal acquisition module for acquiring a probe signal; a signal processing module for calculating the thickness of the blood vessel wall of a target body based on the ultrasonic reflection echo time difference when determining that the probe corresponding to the probe signal is a first probe within a preset time; and calculating the dynamic elastic parameters of the target body when determining that the probe corresponding to the probe signal is a second probe, wherein the dynamic elastic parameters include pulse wave velocity, compliance, and dynamic elastic modulus; a correction module for calculating an error deviation value based on probe environment data when determining that there is an error between the calculated blood vessel wall thickness and the dynamic elastic parameters, and correcting the blood vessel wall thickness and the dynamic elastic parameters based on the error deviation value; and a display module for displaying the correction result and transmitting the correction result based on a communication module, wherein the display module includes measurement parameter settings, measurement mode settings, and measurement data storage settings, wherein the measurement data storage settings include data storage location and data storage format.

[0005] Furthermore, the first probe is a high-frequency ultrasonic probe, wherein the thickness of the target body's blood vessel wall is calculated based on the ultrasonic reflection echo time difference, including: calculating the thickness of the blood vessel wall according to d=v*Δt / 2, wherein d represents the thickness of the blood vessel wall, v represents the ultrasonic propagation velocity, Δt represents the ultrasonic reflection echo time difference, Δt=Δt1-Δt2, Δt1 represents the time of emitting ultrasonic waves, and Δt2 represents the time of receiving the reflected wave.

[0006] Furthermore, the second probe is a dual probe, wherein calculating the pulse wave velocity of the target body includes: determining that the pulse wave generated by the heart beat of the target body propagates along the blood vessel, and measuring the time difference between the pulse wave reaching the two probes; Calculating the pulse wave velocity of the target body, wherein PWV represents the pulse wave velocity, ΔD1 represents the distance between the two probes, and Δt1 represents the time difference between the pulse wave reaching the two probes; wherein calculating the dynamic elastic modulus of the target body includes: according to E dyn =ρ·PWV 2 , calculate the dynamic elastic modulus of the target body, where E dyn represents the dynamic elastic modulus, and ρ represents the density of the vascular wall.

[0007] Further, calculating the compliance of the target body includes: according to Calculating the compliance of the target body, wherein ΔD2 represents a change in blood vessel diameter, ΔP2 represents a change in pressure, wherein ΔD2=D3-D4, D3 represents the blood vessel inner diameter measured during cardiac systole, D4 ​​represents the blood vessel inner diameter measured during cardiac diastole, ΔP2=P1-P2, P1 represents the intravascular pressure value during cardiac systole, and P2 represents the intravascular pressure value during cardiac diastole; or according to Calculating the compliance of the target body, wherein ΔV represents the change in blood vessel volume, D1 represents the initial blood vessel diameter, D2 represents the changed blood vessel diameter, L represents the blood vessel length, and represents the pressure change.

[0008] ΔP2

[0009] η represents the viscous damping coefficient, dt represents the time change, dt=t2-t1, t1 represents the time point when the measurement starts, t2 represents the time point when the measurement ends, Ι represents the inertia coefficient, and F0 represents the preload correction factor.

[0010] Furthermore, it also includes: acquiring pressure data and blood vessel diameter data of the target body according to the probe signal; and drawing a pressure-diameter curve graph with the pressure data as the horizontal coordinate and the blood vessel diameter data as the vertical coordinate.

[0011] Furthermore, it also includes: acquiring detection data corresponding to the probe signal according to the pressure-diameter curve; in the case where it is determined that the detection data is abnormal data, determining the level of the abnormal data and the warning method corresponding to the level of the abnormal data; and notifying the target user based on the warning method.

[0012] Further, the probe environment data includes probe temperature data, probe pressure data, and probe angle data, wherein the probe environment data calculates an error deviation value, and corrects the thickness of the blood vessel wall and the dynamic elastic parameter based on the error deviation value, including: obtaining a probe temperature value, a probe pressure value, and a probe angle value; based on f(E T , E P ,E A ), determine the error deviation value, where f represents the correction function, E T Indicates the probe temperature value, E P Indicates the probe pressure value, E A Indicates the probe angle value, based on M'=M+f(E T , E P ,E A ), to obtain the corrected thickness of the blood vessel wall or the dynamic elastic parameter, wherein M represents the thickness of the blood vessel wall or the dynamic elastic parameter before correction, and M' represents the thickness of the blood vessel wall or the dynamic elastic parameter after correction.

[0013] The second aspect of the present invention proposes a method for detecting blood vessel wall characteristics, including: acquiring a probe signal; when it is determined that the probe corresponding to the probe signal is a first probe, calculating the thickness of the blood vessel wall of the target body based on the ultrasound reflection echo time difference, and when it is determined that the probe corresponding to the probe signal is a second probe, calculating the dynamic elastic parameters of the target body, the dynamic elastic parameters including pulse wave velocity, compliance, and elastic modulus; when it is determined that there is an error between the calculated thickness of the blood vessel wall and the dynamic elastic parameters, calculating an error deviation value based on probe environmental data, and correcting the thickness of the blood vessel wall and the dynamic elastic parameters based on the error deviation value; displaying the correction result, and transmitting the correction result based on a communication module.

[0014] According to the third aspect of the present invention, an electronic device is proposed, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in the second aspect of the present invention.

[0015] According to a fourth aspect of the present invention, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the second aspect of the present invention.

[0016] The beneficial effects of the present invention are as follows:

[0017] The blood vessel wall feature detection system of the present invention comprises a signal acquisition module for acquiring a probe signal; a signal processing module for calculating the thickness of the blood vessel wall of the target body based on the ultrasonic reflection echo time difference when the probe corresponding to the probe signal is determined to be the first probe within a preset time; and a dynamic elastic parameter of the target body is calculated when the probe corresponding to the probe signal is determined to be the second probe, wherein the dynamic elastic parameter includes pulse wave velocity, compliance, and dynamic elastic modulus; a correction module for calculating an error deviation value based on probe environment data when it is determined that there is an error between the calculated blood vessel wall thickness and the dynamic elastic parameter, and correcting the blood vessel wall thickness and the dynamic elastic parameter based on the error deviation value; and a display module for displaying the correction result and transmitting the correction result based on the communication module, wherein the display module includes measurement parameter settings, measurement mode settings, and measurement data storage settings, wherein the measurement data storage settings include data storage location and data storage format. The system improves the accuracy of the measurement result and enables the measurement data to more truly reflect the physiological state of the target body. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are only used to illustrate specific embodiments and are not considered to limit the present invention. In the entire drawings, the same reference symbols represent the same components. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0019] Figure 1 is a schematic diagram of a blood vessel wall feature detection system according to an embodiment of the present invention;

[0020] Figure 2 is a flow chart of a method for detecting blood vessel wall features according to an embodiment of the present invention;

[0021] Figure 3 It is a structural block diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making creative work should fall within the scope of protection of the present invention.

[0023] Furthermore, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessarily obscuring the concepts disclosed in the present invention.

[0024] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the orientation or position relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside", etc. is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. The terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are merely examples of methods and systems consistent with some aspects of the present invention as detailed in the appended claims.

[0026] The present invention proposes a blood vessel wall feature detection system, method and related equipment. Specifically, the blood vessel wall feature detection system, method and related equipment according to an embodiment of the present invention are described below with reference to the accompanying drawings.

[0027] Figure 1 FIG. 1 is a schematic diagram of a blood vessel wall feature detection system according to an embodiment of the present invention. Figure 1 As shown, the blood vessel wall feature detection system comprises:

[0028] A signal acquisition module 110, used to acquire a probe signal;

[0029] The signal processing module 120 is used to calculate the thickness of the blood vessel wall of the target body based on the ultrasound reflection echo time difference when it is determined that the probe corresponding to the probe signal is the first probe within a preset time; and to calculate the dynamic elastic parameters of the target body when it is determined that the probe corresponding to the probe signal is the second probe, the dynamic elastic parameters including pulse wave velocity, compliance, and dynamic elastic modulus;

[0030] A correction module 130, configured to calculate an error deviation value based on the probe environment data when it is determined that the calculated thickness of the blood vessel wall and the dynamic elastic parameter have errors, and to correct the thickness of the blood vessel wall and the dynamic elastic parameter based on the error deviation value;

[0031] The display module 140 is used to display the calibration results and transmit the calibration results based on the communication module 150, wherein the display module includes measurement parameter settings, measurement mode settings, and measurement data storage settings, wherein the measurement data storage settings include data storage location and data storage format.

[0032] That is to say, the probe signal is acquired by the signal acquisition module 120, and the signal processing module 120 is used to distinguish different probe signals, and the target body's vascular wall thickness (for the first probe) and dynamic elastic parameters (for the second probe) are calculated respectively. The measurement of vascular wall thickness and various dynamic elastic parameters (such as pulse wave velocity, compliance, and dynamic elastic modulus) can be realized, providing a more comprehensive vascular-related physiological parameter measurement function; when the correction module 130 determines that there is an error in the calculated vascular wall thickness and the dynamic elastic parameter, the error deviation value is calculated based on the probe environmental data, and the vascular wall thickness and dynamic elastic parameters are corrected. It helps to reduce measurement errors caused by environmental factors, individual differences, etc., improve the accuracy of measurement results, and make the measurement data more truly reflect the physiological state of the target body; the display module 140 displays the corrected results, which is convenient for users to directly view the measurement data. At the same time, the correction results can be transmitted through the communication module 150, which is convenient for data sharing and further analysis. Moreover, the display module 140 includes measurement parameter settings, measurement mode settings and measurement data storage settings. The user can flexibly adjust the measurement parameters and modes according to actual needs, and can store the measurement data in the specified data storage location and data storage format, which is convenient for data management and subsequent calls.

[0033] In an embodiment of the present invention, the first probe is a high-frequency ultrasonic probe, wherein the thickness of the blood vessel wall of the target body is calculated based on the ultrasonic reflection echo time difference as follows: the thickness of the blood vessel wall is calculated according to d=v*Δt / 2, wherein d represents the thickness of the blood vessel wall, v represents the ultrasonic propagation velocity, Δt represents the ultrasonic reflection echo time difference, Δt=Δt1-Δt2, Δt1 represents the time of emitting ultrasonic waves, and Δt2 represents the time of receiving the reflected wave.

[0034] In an embodiment of the present invention, the second probe is a dual probe, wherein the dual probe is a medium frequency ultrasonic probe, wherein the pulse wave velocity of the target body is calculated by: determining that the pulse wave generated by the heart beat of the target body propagates along the blood vessel, and measuring the time difference of the pulse wave reaching the two probes; The pulse wave velocity of the target body is calculated, where PWV represents the pulse wave velocity, ΔD1 represents the distance between the two probes, and Δt1 represents the time difference between the pulse wave reaching the two probes.

[0035] In an embodiment of the present invention, the dynamic elastic modulus of the target body is calculated as follows: dyn =ρ·PWV 2 , calculate the dynamic elastic modulus of the target body, where E dyn represents the dynamic elastic modulus, and ρ represents the density of the blood vessel wall. For example, the calculated density of the blood vessel wall is ρ = 1050 kg / m 3 .

[0036] In an embodiment of the present invention, the implementation method of calculating the compliance of the target body is: according to The compliance of the target body is calculated, wherein ΔD2 represents the change in blood vessel diameter, ΔP2 represents the change in pressure, wherein ΔD2=D3-D4, D3 represents the inner diameter of the blood vessel measured during cardiac systole, D4 ​​represents the inner diameter of the blood vessel measured during cardiac diastole, ΔP2=P1-P2, P1 represents the value of the intravascular pressure during cardiac systole, and P2 represents the value of the intravascular pressure during cardiac diastole.

[0037] In an embodiment of the present invention, according to Calculate the compliance of the target volume, where ΔV represents the change in vascular volume, D1 represents the initial blood vessel diameter, D2 represents the blood vessel diameter after the change, L represents the blood vessel length, ΔP2 represents the pressure change, η represents the viscous damping coefficient, dt represents the time change, dt=t2-t1, t1 represents the time point when the measurement starts, t2 represents the time point when the measurement ends, Ι represents the inertia coefficient, and F0 represents the preload correction factor.

[0038] In an embodiment of the present invention, when the thickness of the vascular wall of the target body and the dynamic elastic parameters of the target body are obtained, when it is determined that there are errors in the calculated thickness of the vascular wall of the target body and the dynamic elastic parameters of the target body, the error deviation value can be calculated based on the probe environment data, and the thickness of the vascular wall and the dynamic elastic parameters can be corrected based on the error deviation value.

[0039] The sources of errors in the calculated thickness of the blood vessel wall of the target body and the dynamic elastic parameters of the target body include probe environment data and signal noise interference.

[0040] The probe environment data includes probe temperature data, probe pressure data, and probe angle data. The probe environment data can be obtained based on a high-frequency ultrasonic probe.

[0041] For example, when the detected probe temperature data affects the ultrasonic wave propagation speed, and / or the probe pressure is detected to be greater than a first preset threshold or less than a second preset threshold, and / or the probe angle data is detected to be not perpendicular to the blood vessel surface, and / or the environmental noise is detected to affect the ultrasonic echo signal, it can be determined that there are errors in the calculated thickness of the blood vessel wall of the target body and the dynamic elastic parameters of the target body.

[0042] Among them, the probe temperature value, probe pressure value and probe angle value can be obtained; based on f(E T , E P ,E A ), determine the error deviation value, where f represents the correction function, E T Indicates the probe temperature value, E P Indicates the probe pressure value, E A Indicates the probe angle value; thereby realizing automatic adjustment of the error deviation value based on different probe environment data.

[0043] Where, based on M'=M+f(E T , E P ,E A ), and obtain the thickness or dynamic elastic parameter of the vascular wall after correction, wherein M represents the thickness or dynamic elastic parameter of the vascular wall before correction, and M' represents the thickness or dynamic elastic parameter of the vascular wall after correction.

[0044] Among them, f is obtained by fitting the experimental data and has adaptive ability.

[0045] For example, when it is determined that the calculated blood vessel wall thickness has an error, the calculated blood vessel wall thickness M is 150 μm, and the obtained probe temperature value E T At 30°C, the probe pressure value E P is 50 kPa, and the probe angle value E is obtained A The correction function of laboratory fitting is f(E1, E2, E3) = 0.1×(E1-25)+0.05×(E2-40)+0.02×E3, and f(E T , E P ,E A ) T 、E P and E A Substituting E1, E2 and E3, we get f(30, 50, 10) = 0.1 × (30-25) + 0.05 × (50-40) + 0.02 × 10 = 1.2 μm, and M' = M + f(E T , E P ,E A )=150μm+1.2μm, that is, the thickness of the blood vessel wall after correction is 151.2μm.

[0046] In the embodiments of the present invention, the advantages of dual probes over single probes are mainly reflected in the precise measurement of pulse wave velocity and dynamic elastic parameters. The dual probes receive pulse wave signals simultaneously through two probes arranged in different positions, which can effectively measure the time difference and distance of the pulse wave propagation in the blood vessels, thereby more accurately calculating the pulse wave velocity, which is an important parameter reflecting vascular stiffness. However, a single probe can only rely on a single-point reflection signal, and cannot accurately calculate the wave propagation path and time difference. It is easily affected by noise, reflection interference and environmental changes, resulting in large measurement errors. Therefore, the dual probe solution has more advantages in accuracy, reliability and dynamic parameter analysis, and is particularly suitable for vascular health assessment and early detection of arteriosclerosis.

[0047] In an embodiment of the present invention, pressure data and blood vessel diameter data of the target body are acquired according to the probe signal; the pressure data is used as the horizontal coordinate and the blood vessel diameter data is used as the vertical coordinate to draw a pressure-diameter curve.

[0048] In an embodiment of the present invention, detection data corresponding to the probe signal is obtained based on the pressure-diameter curve; when it is determined that the detection data is abnormal data, the level of the abnormal data and the warning method corresponding to the level of the abnormal data are determined; and the target user is notified based on the warning method.

[0049] For example, when the thickness of the blood vessel wall is less than 80 μm or greater than 120 μm, the level of the abnormal data (blood vessel wall thickness) is the first level (i.e., high risk); when the pulse wave velocity is less than 2.5 m / s or greater than 4.5 m / s, the level of the abnormal data (pulse wave velocity) is the first level (i.e., high risk); when the dynamic elastic modulus is less than 0.1 MPa or greater than 0.5 MPa, the level of the abnormal data (dynamic elastic modulus) is the first level (i.e., high risk).

[0050] According to the blood vessel wall feature detection system of the embodiment of the present invention, the probe signal is obtained by a high-frequency ultrasonic probe, and the thickness of the blood vessel wall is calculated based on the formula d=v*Δt / 2 according to the time difference of the ultrasonic reflection echo. This method utilizes the propagation characteristics of ultrasonic waves in the blood vessel wall and can obtain the thickness information of the blood vessel wall more accurately; using the medium-frequency dual probe, when it is determined that the pulse wave generated by the heart beat of the target body propagates along the blood vessel, the time difference of the pulse wave reaching the two probes is measured, and according to the formula Calculate the pulse wave velocity. Pulse wave velocity is an important indicator of arterial stiffness, and its measurement helps to detect vascular lesions at an early stage. According to the formula E dyn =ρ·PWV 2 Calculate the dynamic elastic modulus. This parameter can further reflect the elastic characteristics of the blood vessel wall and is of great significance for evaluating the mechanical properties of blood vessels and the degree of lesions; according to the formula Calculate compliance. Vascular compliance reflects the ability of blood vessels to expand and retract under pressure changes. Changes in its value can indicate abnormal vascular function. The system also takes into account the impact of factors such as probe environmental data and signal noise interference on the measurement results. For example, when the detected probe temperature data affects the ultrasonic propagation speed, and / or the detected probe angle data is not perpendicular to the blood vessel surface, and / or the detected environmental noise affects the ultrasonic echo signal, it can be determined that the calculated target body's vascular wall thickness and the target body's dynamic elastic parameters have errors. Then based on M'=M+f(E T , E P ,E A ) to correct the measurement results, thereby improving the accuracy and reliability of the measurement and reducing the measurement errors caused by environmental factors and noise interference; according to the probe signal, the pressure data and blood vessel diameter data of the target body are obtained, and the pressure data is used as the horizontal coordinate and the blood vessel diameter data is used as the vertical coordinate to draw a pressure-diameter curve. The visualization method can intuitively display the changes in the diameter of the blood vessels under different pressures, so as to facilitate a clearer understanding of the physiological characteristics and functional status of the blood vessels; when the detection data is determined to be abnormal data, the level of the abnormal data and the warning method corresponding to the level of the abnormal data are determined, and the target user is notified based on the warning method, which is helpful to timely discover possible lesions or abnormal conditions in the blood vessels.

[0051] In order to make it easier for those skilled in the art to understand the present invention, a method for detecting blood vessel wall characteristics is also proposed. Figure 2 is a blood vessel wall feature detection method according to an embodiment of the present invention, such as Figure 2 As shown, the blood vessel wall feature detection method includes:

[0052] S210, acquiring a probe signal.

[0053] S220, when it is determined that the probe corresponding to the probe signal is the first probe, the thickness of the blood vessel wall of the target body is calculated based on the ultrasound reflection echo time difference; when it is determined that the probe corresponding to the probe signal is the second probe, the dynamic elastic parameters of the target body are calculated, and the dynamic elastic parameters include pulse wave velocity, compliance, and elastic modulus.

[0054] In an embodiment of the present invention, the first probe is a high-frequency ultrasonic probe. The thickness of the blood vessel wall is calculated according to d=v*Δt / 2, where d represents the thickness of the blood vessel wall, v represents the ultrasonic propagation velocity, Δt represents the ultrasonic reflection echo time difference, Δt=Δt1-Δt2, Δt1 represents the time of transmitting the ultrasonic wave, and Δt2 represents the time of receiving the reflected wave.

[0055] In an embodiment of the present invention, the second probe is a dual probe, and when the pulse wave generated by the heart beat of the target body propagates along the blood vessel, the time difference of the pulse wave reaching the two probes is measured; The pulse wave velocity of the target body is calculated, wherein PWV represents the pulse wave velocity, ΔD1 represents the distance between the two probes, and Δt1 represents the time difference between the pulse wave reaching the two probes.

[0056] In an embodiment of the present invention, according to E dyn =ρ·PWV 2 , calculate the dynamic elastic modulus of the target body, where E dyn represents the dynamic elastic modulus, and ρ represents the density of the vascular wall.

[0057] In an embodiment of the present invention, according to Calculating the compliance of the target body, wherein ΔD2 represents the change in blood vessel diameter, ΔP2 represents the change in pressure, wherein ΔD2=D3-D4, D3 represents the blood vessel inner diameter measured during cardiac systole, D4 ​​represents the blood vessel inner diameter measured during cardiac diastole, ΔP2=P1-P2, P1 represents the intravascular pressure value during cardiac systole, P2 represents the intravascular pressure value during cardiac diastole, or according to Calculate the compliance of the target body, where ΔV represents the change in vascular volume, D1 represents the initial blood vessel diameter, D2 represents the blood vessel diameter after the change, L represents the blood vessel length, represents the pressure change, η represents the viscous damping coefficient, dt represents the time change, dt=t2-t1, t1 represents the time point when the measurement starts, t2 represents the time point when the measurement ends, Ι represents the inertia coefficient, and F0 represents the preload correction factor.

[0058] S230, when it is determined that the calculated thickness and dynamic elasticity parameters of the blood vessel wall have errors, calculate an error deviation value based on the probe environment data, and correct the thickness and dynamic elasticity parameters of the blood vessel wall based on the error deviation value.

[0059] In an embodiment of the present invention, the probe environment data includes probe temperature data, probe pressure data, and probe angle data.

[0060] In an embodiment of the present invention, the probe temperature value, the probe pressure value and the probe angle value are obtained; based on f(E T , E P ,E A ), determine the error deviation value, where f represents the correction function, E T Indicates the probe temperature value, E P Indicates the probe pressure value, E A Indicates the probe angle value; based on M'=M+f(E T , EP ,E A ), and obtain the thickness or dynamic elastic parameter of the vascular wall after correction, wherein M represents the thickness or dynamic elastic parameter of the vascular wall before correction, and M' represents the thickness or dynamic elastic parameter of the vascular wall after correction.

[0061] S240, displaying the correction result, and transmitting the correction result based on the communication module.

[0062] In an embodiment of the present invention, pressure data and blood vessel diameter data of the target body are acquired according to the probe signal; the pressure data is used as the horizontal coordinate and the blood vessel diameter data is used as the vertical coordinate to draw a pressure-diameter curve.

[0063] In an embodiment of the present invention, detection data corresponding to the probe signal is obtained based on the pressure-diameter curve; when it is determined that the detection data is abnormal data, the level of the abnormal data and the warning method corresponding to the level of the abnormal data are determined; and the target user is notified based on the warning method.

[0064] According to the blood vessel wall feature detection method of the embodiment of the present invention, a probe signal is obtained; when it is determined that the probe corresponding to the probe signal is the first probe, the thickness of the blood vessel wall of the target body is calculated based on the ultrasonic reflection echo time difference; when it is determined that the probe corresponding to the probe signal is the second probe, the dynamic elastic parameters of the target body are calculated, and the dynamic elastic parameters include pulse wave velocity, compliance, and elastic modulus; when it is determined that there is an error in the calculated blood vessel wall thickness and dynamic elastic parameters, an error deviation value is calculated based on the probe environment data, and the blood vessel wall thickness and dynamic elastic parameters are corrected based on the error deviation value; the correction result is displayed, and the correction result is transmitted based on the communication module. This method improves the accuracy of the measurement result, so that the measurement data can more truly reflect the physiological state of the target body.

[0065] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0066] According to one aspect of an embodiment of the present invention, an electronic device is provided.

[0067] Figure 3Schematic diagram of the structure of an electronic device according to an embodiment of the present invention. Figure 3 As shown, the electronic device may include one or more ( Figure 3 Only one is shown in the figure) processor 102 (processor 102 may include but is not limited to a microprocessor (Microprocessor Unit, referred to as MPU) or a programmable logic device (Programmable logic device, referred to as PLD)) and a memory 104 for storing data. In an exemplary embodiment, the electronic device may also include a transmission device 106 and an input / output device 108 for communication functions. It can be understood by those skilled in the art that Figure 3 The structure shown is for illustration only and does not limit the structure of the above terminal device. Figure 3 More or fewer components as shown, or with Figure 3 Equivalent functions or comparisons shown Figure 3 A different configuration with more features is shown.

[0068] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the blood vessel wall feature detection method in the embodiment of the present invention. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the terminal device via a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0069] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the switching device. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0070] The present invention provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute a blood vessel wall feature detection method.

[0071] The applicant of the present invention has made a detailed explanation and description of the implementation examples of the present invention in conjunction with the drawings in the specification. However, those skilled in the art should understand that the above implementation examples are only preferred implementation schemes of the present invention, and the detailed description is only to help readers better understand the spirit of the present invention, but not to limit the scope of protection of the present invention. On the contrary, any improvements or modifications based on the inventive spirit of the present invention should fall within the scope of protection of the present invention.

[0072] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0073] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the embodiments of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the above embodiments, or replace some of the technical features therein by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention. Any changes or replacements that can be easily thought of by those skilled in the art within the technical scope disclosed in the present invention should be covered within the protection scope of the present invention.

Claims

1. A blood vessel wall feature detection system, characterized in that: include: A signal acquisition module, used for acquiring probe signals; A signal processing module, configured to calculate the thickness of the blood vessel wall of the target body based on the ultrasound reflection echo time difference when it is determined that the probe corresponding to the probe signal is the first probe within a preset time; and to calculate the dynamic elastic parameters of the target body when it is determined that the probe corresponding to the probe signal is the second probe, wherein the dynamic elastic parameters include pulse wave velocity, compliance, and dynamic elastic modulus; a correction module, for calculating an error deviation value based on the probe environment data when it is determined that the calculated thickness of the blood vessel wall and the dynamic elastic parameter have errors, and correcting the thickness of the blood vessel wall and the dynamic elastic parameter based on the error deviation value; The display module is used to display the calibration result and transmit the calibration result based on the communication module, wherein the display module includes measurement parameter settings, measurement mode settings, and measurement data storage settings, wherein the measurement data storage settings include data storage location and data storage format.

2. The blood vessel wall feature detection system according to claim 1, characterized in that: The first probe is a high-frequency ultrasonic probe, wherein the thickness of the blood vessel wall of the target body is calculated based on the ultrasonic reflection echo time difference, including: The thickness of the blood vessel wall is calculated according to d=v*Δt / 2, where d represents the thickness of the blood vessel wall, v represents the ultrasonic propagation velocity, Δt represents the ultrasonic reflection echo time difference, Δt=Δt1-Δt2, Δt1 represents the time of transmitting the ultrasonic wave, and Δt2 represents the time of receiving the reflected wave.

3. The blood vessel wall feature detection system according to claim 1, characterized in that: The second probe is a dual probe, wherein calculating the pulse wave velocity of the target body includes: When the pulse wave generated by the heart beat of the target body is determined to propagate along the blood vessel, the time difference between the pulse wave reaching the two probes is measured; according to Calculating the pulse wave velocity of the target body, wherein PWV represents the pulse wave velocity, ΔD1 represents the distance between the two probes, and Δt1 represents the time difference between the pulse wave reaching the two probes; Wherein, calculating the dynamic elastic modulus of the target body includes: According to E dyn =ρ·PWV 2 , calculate the dynamic elastic modulus of the target body, where E dyn represents the dynamic elastic modulus, and ρ represents the density of the vascular wall.

4. The blood vessel wall feature detection system according to claim 3, characterized in that: Calculating the compliance of the target body includes: according to Calculating the compliance of the target body, wherein ΔD2 represents a change in blood vessel diameter, ΔP2 represents a change in pressure, wherein ΔD2=D3-D4, D3 represents the blood vessel inner diameter measured during cardiac systole, D4 ​​represents the blood vessel inner diameter measured during cardiac diastole, ΔP2=P1-P2, P1 represents the intravascular pressure value during cardiac systole, and P2 represents the intravascular pressure value during cardiac diastole; or according to Calculating the compliance of the target body, wherein ΔV represents the change in vascular volume, D1 represents the initial blood vessel diameter, D2 represents the changed blood vessel diameter, L represents the blood vessel length, represents the pressure change, and η represents ΔP2 Viscous damping coefficient, dt represents the time change, dt=t2-t1, t1 represents the time point when the measurement starts, t2 represents the time point when the measurement ends, Ι represents the inertia coefficient, and F0 represents the preload correction factor.

5. The blood vessel wall feature detection system according to claim 1, characterized in that: Also includes: Acquiring pressure data and blood vessel diameter data of the target body according to the probe signal; The pressure data is used as the horizontal coordinate and the blood vessel diameter data is used as the vertical coordinate to draw a pressure-diameter curve.

6. The blood vessel wall feature detection system according to claim 5, characterized in that: Also includes: Acquire detection data corresponding to the probe signal according to the pressure-diameter curve graph; In the case where the detected data is determined to be abnormal data, determining the level of the abnormal data and an early warning method corresponding to the level of the abnormal data; The target user is notified based on the warning method.

7. The blood vessel wall feature detection system according to claim 1, characterized in that: The probe environment data includes probe temperature data, probe pressure data, and probe angle data, wherein the probe environment data calculates an error deviation value, and corrects the thickness of the blood vessel wall and the dynamic elastic parameter based on the error deviation value, including: Get the probe temperature value, probe pressure value and probe angle value; Based on f(E T , E P ,E A ), determine the error deviation value, where f represents the correction function, E T Indicates the probe temperature value, E P Indicates the probe pressure value, E A Indicates the probe angle value; Based on M'=M+f(E T , E P ,E A ), to obtain the corrected thickness of the blood vessel wall or the dynamic elastic parameter, wherein M represents the thickness of the blood vessel wall or the dynamic elastic parameter before correction, and M' represents the thickness of the blood vessel wall or the dynamic elastic parameter after correction.

8. A method for detecting blood vessel wall characteristics, characterized in that: include: Get the probe signal; When it is determined that the probe corresponding to the probe signal is the first probe, the thickness of the blood vessel wall of the target body is calculated based on the ultrasound reflection echo time difference; when it is determined that the probe corresponding to the probe signal is the second probe, the dynamic elastic parameters of the target body are calculated, and the dynamic elastic parameters include pulse wave velocity, compliance, and elastic modulus; When it is determined that the calculated thickness of the blood vessel wall and the dynamic elastic parameter have errors, an error deviation value is calculated based on the probe environment data, and the thickness of the blood vessel wall and the dynamic elastic parameter are corrected based on the error deviation value; The calibration result is displayed, and the calibration result is transmitted based on the communication module.

9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of claim 8.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to claim 8.

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