Accurate positioning and curative effect evaluation method for extracorporeal shock wave therapeutic apparatus

Abstract

The invention relates to the technical field of medical rehabilitation evaluation, in particular to a precise positioning and curative effect evaluation method for an extracorporeal shock wave therapeutic apparatus, and the method comprises the steps: obtaining a CT image of a painful part of a patient, obtaining a corresponding disease grade index according to the position and size of a stone, and extracting the contour boundary of the stone in the CT image; the density center of the calculus in the CT image is obtained, the actual distance between a CT scanning window and the calculus part of the patient is extracted, fitting of a calculus contour curve is carried out, and a calculus contour curve formula with the density center of the calculus in the CT image as the original point is obtained; according to the calculus profile curve formula, the focus depth and angle of the extracorporeal shock wave therapeutic apparatus are determined, and the extracorporeal shock wave therapeutic apparatus is accurately positioned; and performing rehabilitation training test on the patient after treatment, calculating a test completion difference value of the patient, and calculating a matching degree between the disease grade index and the test completion difference value to perform curative effect evaluation.

Description

Background Art

[0002] Extracorporeal shock wave lithotripsy is a common non-invasive technique for treating urinary stones. Its basic principle is to transmit high-energy shock waves to the stones in the body, and use the mechanical energy and pressure difference of the shock waves to break the stones into small fragments, which are easy to be excreted from the body with urine.

[0003] Problems existing in the existing technology: The positioning of traditional extracorporeal shock wave therapy devices mainly relies on two-dimensional ultrasound or X-ray images, which are easily affected by changes in stone position (such as respiratory movement) or patient position adjustment, resulting in focus positioning deviation and reduced treatment effect; the positioning process usually lacks detailed modeling analysis of stone shape and density, and cannot accurately optimize the shock wave energy focus point; the existing technology usually performs treatment according to standard parameters (such as fixed energy, fixed frequency), and does not fully consider individual differences of patients (such as stone density, size, position, etc.). Traditional efficacy evaluation mainly relies on imaging examinations or descriptions of subjective symptom improvement, which makes it difficult to quantify the efficacy, and lacks analysis of the effect of patient rehabilitation training, and lacks comprehensive evaluation indicators to accurately reflect the treatment effect and rehabilitation progress. Summary of the invention

[0004] The main purpose of the present invention is to provide a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy instrument, by obtaining a CT image of the patient's painful area and obtaining a corresponding disease grade index according to the location and size of the stone, extracting the contour boundary of the stone in the CT image; obtaining the density center of the stone in the CT image, and extracting the actual distance between the CT scanning window and the patient's stone site, fitting the stone contour curve, and obtaining a stone contour curve formula with the density center of the stone in the CT image as the origin; according to the stone contour curve formula, determining the focal depth and angle of the extracorporeal shock wave therapy instrument, and accurately positioning the extracorporeal shock wave therapy instrument; conducting a rehabilitation training test on the patient after treatment, calculating the test completion gap value of the patient, and calculating the matching degree between the disease grade index and the test completion gap value for efficacy evaluation. Accurately determine the positioning point of the therapeutic instrument, further optimize the focal depth and angle, improve the treatment effect, design three rehabilitation training tests, and quantify the rehabilitation progress by dynamically monitoring the functional recovery of the patient. Effectively solve the above-mentioned problems mentioned in the background technology.

[0005] The technical solution of the present invention is as follows:

[0006] In the first aspect, a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device is proposed, the method comprising the following steps:

[0007] S1. Obtain a CT image of the patient's painful area and obtain a corresponding disease grade index according to the location and size of the stone, and extract the contour boundary of the stone in the CT image;

[0008] S2, obtaining the density center of the stone in the CT image, extracting the actual distance between the CT scanning window and the stone site of the patient, fitting the stone contour curve, and obtaining a stone contour curve formula with the density center of the stone in the CT image as the origin;

[0009] S3. Determine the focal depth and angle of the extracorporeal shock wave therapy device according to the stone contour curve formula, and accurately position the extracorporeal shock wave therapy device;

[0010] S4. Conduct rehabilitation training tests on patients after treatment, calculate the patient's test completion gap value, and calculate the degree of match between the disease level index and the test completion gap value to evaluate the efficacy.

[0011] A further improvement of the present invention is that S1 comprises the following specific steps:

[0012] S11, obtaining a CT image of the patient's painful area, and obtaining a corresponding disease grade index according to the location and size of the stone shown in the CT image, wherein the disease grade index is expressed as a i , where i = 1, 2, 3, are the first-level index, the second-level index, and the third-level index, respectively;

[0013] S12, dividing the CT image into pixels, calculating the difference between the grayscale value corresponding to each pixel and the grayscale value corresponding to the adjacent pixel below, to obtain the vertical gradient value of the grayscale value of the pixel, and calculating the difference between the grayscale value corresponding to each pixel and the grayscale value corresponding to the adjacent pixel on the left, to obtain the horizontal gradient value of the grayscale value of the pixel;

[0014] S13. Compare the grayscale vertical gradient value and the grayscale horizontal gradient value with the grayscale gradient threshold value respectively, and extract the pixel points whose grayscale vertical gradient value and grayscale horizontal gradient value are greater than the grayscale gradient threshold value, and use the connecting line of these pixel points as the contour boundary of the stone in the CT image.

[0015] A further improvement of the present invention is that the method for obtaining the density center of the stone in the CT image in S2 is: obtaining all boundary points at the boundary of the stone outline in the CT image, reading the pixel value of a single boundary point, and calculating the sum of the pixel values ​​of all boundary points; reading the coordinates of a single boundary point in the CT image, multiplying its coordinates by the pixel value of the pixel point where it is located, obtaining the weighted coordinates of the single boundary point, and dividing the sum of the weighted coordinates of all boundary points by the sum of the pixel values ​​of all boundary points to obtain the density center coordinates of the stone.

[0016] A further improvement of the present invention is that S2 also includes: extracting the actual distance between the CT scanning window and the patient's stone site, and extracting the photographed stone contour image, using three-dimensional model construction software to construct a three-dimensional stone image corresponding to the stone contour image; taking the stone density center as the origin, taking the line connecting the shortest distance between the stone density center and the CT scanning window as the y-axis, and taking the line perpendicular to the y-axis in the horizontal plane where the y-axis is located as the x-axis, and using Python software to fit the stone contour curve formula with the stone density center as the origin.

[0017] A further improvement of the present invention is that the specific content of S3 is: extracting a stone contour curve with the stone density center as the origin and the x-axis and y-axis as the cross-section, and selecting two boundary points on the contour curve, taking the boundary points as tangent points, respectively obtaining two straight lines passing through the tangent points and perpendicular to the line connecting the tangent points and the stone density center as tangents, reading the coordinates of the intersection of the two tangents, and obtaining the straight line connecting the intersection coordinates of the two tangents and the stone density center, taking the intersection of the straight line and the patient's external skin surface as the positioning point of the extracorporeal shock wave therapy device, and using the straight line distance between the positioning point and the stone density center as the focal depth of the extracorporeal shock wave therapy device, and adjusting the angle of the extracorporeal shock wave therapy device according to the direction of the straight line between the positioning point and the stone density center.

[0018] A further improvement of the present invention is that S4 comprises the following specific steps:

[0019] S41, conducting a rehabilitation training test on the patient after treatment, wherein the rehabilitation training test comprises a first training test, a second training test and a third training test, wherein the first training test comprises obtaining the patient's waist bending angle change rate and waist twisting angle change rate at preset time intervals within a preset acquisition cycle; the second training test comprises obtaining the patient's heart rate data (S1, S2, S3, ..., Sn) of taking n deep breaths at preset time intervals within a preset acquisition cycle; the third training test comprises obtaining the patient's leg lifting height and leg extension angle at preset time intervals within a preset acquisition cycle;

[0020] S42: Calculate the first test completion gap value, where the calculation formula for the first test completion gap value is: CJ1 is the difference value of the first test completion, WQ is the change rate of the patient's waist bending angle, ND is the change rate of the patient's waist twisting angle, is the comparison value of the waist bending angle change rate, It is the comparison value of the waist twisting angle change rate;

[0021] S43, calculating the second test completion gap value, the calculation formula of the second test completion gap value is: CJ2 is the completion gap value of the second test;

[0022] S44, calculating the third test completion gap value, the calculation formula of the third test completion gap value is: CJ3 is the completion gap value of the third test, GD is the height of the patient's leg lift, ND is the patient's leg extension angle, is the comparison value of the leg lifting height, It is the comparison value of leg extension angle.

[0023] A further improvement of the present invention is that the step S4 further includes: calculating the matching degree between the disease level index and the test completion gap value to evaluate the therapeutic effect, and the calculation formula of the therapeutic effect evaluation value is PGZ=a i (CJ1+CJ2+CJ3) ; PGZ is the efficacy evaluation value.

[0024] In a second aspect, a computer-readable storage medium is proposed, on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device is implemented.

[0025] In a third aspect, an electronic device is proposed, comprising a memory for storing instructions; and a processor for executing the instructions, so that the device implements the above-mentioned method for precise positioning and efficacy evaluation of an extracorporeal shock wave therapy device.

[0026] The technical effects of the present invention are as follows:

[0027] A precise positioning and efficacy evaluation method for extracorporeal shock wave therapy was constructed. The contour boundary of the stone in the CT image was extracted by obtaining the CT image of the patient's painful area and obtaining the corresponding disease grade index according to the stone location and stone size; the density center of the stone in the CT image was obtained, and the actual distance between the CT scanning window and the patient's stone site was extracted to fit the stone contour curve, and the stone contour curve formula with the density center of the stone in the CT image as the origin was obtained; according to the stone contour curve formula, the focal depth and angle of the extracorporeal shock wave therapy instrument were determined, and the extracorporeal shock wave therapy instrument was accurately positioned; the patient was given a rehabilitation training test after treatment, the test completion gap value of the patient was calculated, and the matching degree between the disease grade index and the test completion gap value was calculated for efficacy evaluation. The positioning point of the therapeutic instrument was accurately determined, the focal depth and angle were further optimized, the treatment effect was improved, and three rehabilitation training tests were designed to quantify the rehabilitation progress by dynamically monitoring the functional recovery of the patient. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0029] Figure 1 This is a flow chart of a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to Example 1 of the present invention. DETAILED DESCRIPTION

[0030] Example 1

[0031] This embodiment proposes a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device, which obtains a CT image of the patient's painful area and obtains a corresponding disease grade index according to the location and size of the stone, extracts the contour boundary of the stone in the CT image; obtains the density center of the stone in the CT image, extracts the actual distance between the CT scanning window and the patient's stone site, fits the stone contour curve, and obtains a stone contour curve formula with the density center of the stone in the CT image as the origin; determines the focal depth and angle of the extracorporeal shock wave therapy device according to the stone contour curve formula, and accurately positions the extracorporeal shock wave therapy device; conducts a rehabilitation training test on the patient after treatment, calculates the patient's test completion gap value, and calculates the matching degree between the disease grade index and the test completion gap value for efficacy evaluation. Accurately determine the positioning point of the therapeutic device, further optimize the focal depth and angle, improve the treatment effect, design three rehabilitation training tests, and quantify the rehabilitation progress by dynamically monitoring the patient's functional recovery.

[0032] Specifically, Figure 1 As shown, the present embodiment proposes a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device, comprising the following specific steps:

[0033] S1. Obtain a CT image of the patient's painful area and obtain a corresponding disease grade index according to the location and size of the stone, and extract the contour boundary of the stone in the CT image;

[0034] S2, obtaining the density center of the stone in the CT image, extracting the actual distance between the CT scanning window and the stone site of the patient, fitting the stone contour curve, and obtaining a stone contour curve formula with the density center of the stone in the CT image as the origin;

[0035] S3. Determine the focal depth and angle of the extracorporeal shock wave therapy device according to the stone contour curve formula, and accurately position the extracorporeal shock wave therapy device;

[0036] S4. Conduct rehabilitation training tests on patients after treatment, calculate the patient's test completion gap value, and calculate the degree of match between the disease level index and the test completion gap value to evaluate the efficacy.

[0037] A further improvement of the present invention is that S1 comprises the following specific steps:

[0038] S11, obtaining a CT image of the patient's painful area, and obtaining a corresponding disease grade index according to the location and size of the stone shown in the CT image, wherein the disease grade index is expressed as a i , where i = 1, 2, 3, are the first-level index, the second-level index, and the third-level index, respectively;

[0039] S12, dividing the CT image into pixels, calculating the difference between the grayscale value corresponding to each pixel and the grayscale value corresponding to the adjacent pixel below, to obtain the vertical gradient value of the grayscale value of the pixel, and calculating the difference between the grayscale value corresponding to each pixel and the grayscale value corresponding to the adjacent pixel on the left, to obtain the horizontal gradient value of the grayscale value of the pixel;

[0040] S13. Compare the grayscale vertical gradient value and the grayscale horizontal gradient value with the grayscale gradient threshold value respectively, and extract the pixel points whose grayscale vertical gradient value and grayscale horizontal gradient value are greater than the grayscale gradient threshold value, and use the connecting line of these pixel points as the contour boundary of the stone in the CT image.

[0041] A further improvement of the present invention is that the method for obtaining the density center of the stone in the CT image in S2 is: obtaining all boundary points at the boundary of the stone outline in the CT image, reading the pixel value of a single boundary point, and calculating the sum of the pixel values ​​of all boundary points; reading the coordinates of a single boundary point in the CT image, multiplying its coordinates by the pixel value of the pixel point where it is located, obtaining the weighted coordinates of the single boundary point, and dividing the sum of the weighted coordinates of all boundary points by the sum of the pixel values ​​of all boundary points to obtain the density center coordinates of the stone.

[0042] A further improvement of the present invention is that S2 also includes: extracting the actual distance between the CT scanning window and the patient's stone site, and extracting the photographed stone contour image, using three-dimensional model construction software to construct a three-dimensional stone image corresponding to the stone contour image; taking the stone density center as the origin, taking the line connecting the shortest distance between the stone density center and the CT scanning window as the y-axis, and taking the line perpendicular to the y-axis in the horizontal plane where the y-axis is located as the x-axis, and using Python software to fit the stone contour curve formula with the stone density center as the origin.

[0043] A further improvement of the present invention is that the specific content of S3 is: extracting a stone contour curve with the stone density center as the origin and the x-axis and y-axis as the cross-section, and selecting two boundary points on the contour curve, taking the boundary points as tangent points, respectively obtaining two straight lines passing through the tangent points and perpendicular to the line connecting the tangent points and the stone density center as tangents, reading the coordinates of the intersection of the two tangents, and obtaining the straight line connecting the intersection coordinates of the two tangents and the stone density center, taking the intersection of the straight line and the patient's external skin surface as the positioning point of the extracorporeal shock wave therapy device, and using the straight line distance between the positioning point and the stone density center as the focal depth of the extracorporeal shock wave therapy device, and adjusting the angle of the extracorporeal shock wave therapy device according to the direction of the straight line between the positioning point and the stone density center.

[0044] A further improvement of the present invention is that S4 comprises the following specific steps:

[0045] S41, conducting a rehabilitation training test on the patient after treatment, wherein the rehabilitation training test comprises a first training test, a second training test and a third training test, wherein the first training test comprises obtaining the patient's waist bending angle change rate and waist twisting angle change rate at preset time intervals within a preset acquisition cycle; the second training test comprises obtaining the patient's heart rate data (S1, S2, S3, ..., Sn) of taking n deep breaths at preset time intervals within a preset acquisition cycle; the third training test comprises obtaining the patient's leg lifting height and leg extension angle at preset time intervals within a preset acquisition cycle;

[0046] S42: Calculate the first test completion gap value, where the calculation formula for the first test completion gap value is: CJ1 is the difference value of the first test completion, WQ is the change rate of the patient's waist bending angle, ND is the change rate of the patient's waist twisting angle, is the comparison value of the waist bending angle change rate, It is the comparison value of the waist twisting angle change rate;

[0047] S43, calculating the second test completion gap value, the calculation formula of the second test completion gap value is: CJ2 is the completion gap value of the second test;

[0048] S44, calculating the third test completion gap value, the calculation formula of the third test completion gap value is: CJ3 is the completion gap value of the third test, GD is the height of the patient's leg lift, ND is the patient's leg extension angle, is the comparison value of the leg lifting height, It is the comparison value of leg extension angle.

[0049] A further improvement of the present invention is that the step S4 further includes: calculating the matching degree between the disease level index and the test completion gap value to evaluate the therapeutic effect, and the calculation formula of the therapeutic effect evaluation value is PGZ=a i (CJ1+CJ2+CJ3) ; PGZ is the efficacy evaluation value.

[0050] Example 2

[0051] This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; the processor executes the above-mentioned method for precise positioning and efficacy evaluation of an extracorporeal shock wave therapy device by calling the computer program stored in the memory.

[0052] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) and one or more memories, wherein the memory stores at least one computer program, which is loaded and executed by the processor to implement a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device provided in the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface to input and output data. This embodiment will not be described in detail here.

[0053] Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), and it can also be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

[0054] Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

[0055] The present invention is described with reference to flowcharts and block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process or block in the flowchart and block diagram, as well as the combination of processes and blocks in the flowchart or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts. Figure 1 Process or multiple processes and boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0056] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 Process or multiple processes and boxes Figure 1 The steps for the functions specified in one or more boxes.

[0057] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device, characterized in that: The specific steps include: S1. Obtain a CT image of the patient's painful area and obtain a corresponding disease grade index according to the location and size of the stone, and extract the contour boundary of the stone in the CT image; S2, obtaining the density center of the stone in the CT image, extracting the actual distance between the CT scanning window and the stone site of the patient, fitting the stone contour curve, and obtaining a stone contour curve formula with the density center of the stone in the CT image as the origin; S3. Determine the focal depth and angle of the extracorporeal shock wave therapy device according to the stone contour curve formula, and accurately position the extracorporeal shock wave therapy device; S4. Conduct rehabilitation training tests on patients after treatment, calculate the patient's test completion gap value, and calculate the degree of match between the disease level index and the test completion gap value to evaluate the efficacy.

2. The method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to claim 1, characterized in that: The S1 comprises the following specific steps: S11, obtaining a CT image of the patient's painful area, and obtaining a corresponding disease grade index according to the location and size of the stone shown in the CT image, wherein the disease grade index is expressed as a i , where i = 1, 2, 3, are the first-level index, the second-level index, and the third-level index, respectively; S12, dividing the CT image into pixels, calculating the difference between the grayscale value corresponding to each pixel and the grayscale value corresponding to the adjacent pixel below, to obtain the vertical gradient value of the grayscale value of the pixel, and calculating the difference between the grayscale value corresponding to each pixel and the grayscale value corresponding to the adjacent pixel on the left, to obtain the horizontal gradient value of the grayscale value of the pixel; S13. Compare the grayscale vertical gradient value and the grayscale horizontal gradient value with the grayscale gradient threshold value respectively, and extract the pixel points whose grayscale vertical gradient value and grayscale horizontal gradient value are greater than the grayscale gradient threshold value, and use the connecting line of these pixel points as the contour boundary of the stone in the CT image.

3. The method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to claim 2, characterized in that: The method for obtaining the density center of the stone in the CT image in S2 is: obtain all boundary points at the boundary of the stone outline in the CT image, read the pixel value of a single boundary point, and calculate the sum of the pixel values ​​of all boundary points; read the coordinates of a single boundary point in the CT image, multiply its coordinates by the pixel value of the pixel point where it is located, obtain the weighted coordinates of the single boundary point, and divide the sum of the weighted coordinates of all boundary points by the sum of the pixel values ​​of all boundary points to obtain the density center coordinates of the stone.

4. The method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to claim 3, characterized in that: The S2 also includes: extracting the actual distance between the CT scanning window and the patient's stone site, and extracting the photographed stone contour image, using three-dimensional model construction software to construct a three-dimensional stone image corresponding to the stone contour image; taking the stone density center as the origin, taking the line connecting the shortest distance between the stone density center and the CT scanning window as the y-axis, and taking the line perpendicular to the y-axis in the horizontal plane where the y-axis is located as the x-axis, and using Python software to fit the stone contour curve formula with the stone density center as the origin.

5. The method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to claim 4, characterized in that: The specific content of S3 is: extracting the stone contour curve with the stone density center as the origin and the x-axis and y-axis as the cross-section, and selecting two boundary points on the contour curve, taking the boundary points as tangent points, respectively obtaining two straight lines passing through the tangent points and perpendicular to the line connecting the tangent points and the stone density center as tangents, reading the coordinates of the intersection of the two tangents, and obtaining the straight line connecting the intersection coordinates of the two tangents and the stone density center, taking the intersection of the straight line and the patient's external skin surface as the positioning point of the extracorporeal shock wave therapy device, and using the straight-line distance between the positioning point and the stone density center as the focal depth of the extracorporeal shock wave therapy device, and adjusting the angle of the extracorporeal shock wave therapy device according to the direction of the straight line between the positioning point and the stone density center.

6. The method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to claim 5, characterized in that: The S4 comprises the following specific steps: S41, conducting a rehabilitation training test on the patient after treatment, wherein the rehabilitation training test comprises a first training test, a second training test and a third training test, wherein the first training test comprises obtaining the patient's waist bending angle change rate and waist twisting angle change rate at preset time intervals within a preset acquisition cycle; the second training test comprises obtaining the patient's heart rate data (S1, S2, S3, ..., Sn) of taking n deep breaths at preset time intervals within a preset acquisition cycle; the third training test comprises obtaining the patient's leg lifting height and leg extension angle at preset time intervals within a preset acquisition cycle; S42: Calculate the first test completion gap value, where the calculation formula for the first test completion gap value is: CJ1 is the difference value of the first test completion, WQ is the change rate of the patient's waist bending angle, ND is the change rate of the patient's waist twisting angle, is the comparison value of the waist bending angle change rate, It is the comparison value of the waist twisting angle change rate; S43, calculating the second test completion gap value, the calculation formula of the second test completion gap value is: CJ2 is the completion gap value of the second test; S44, calculating the third test completion gap value, the calculation formula of the third test completion gap value is: CJ3 is the completion gap value of the third test, GD is the height of the patient's leg lift, ND is the patient's leg extension angle, is the comparison value of the leg lifting height, It is the comparison value of leg extension angle.

7. The method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device according to claim 6, characterized in that: The step S4 also includes: calculating the matching degree between the disease level index and the test completion gap value to evaluate the efficacy, and the calculation formula of the efficacy evaluation value is PGZ=a i (CJ1+CJ2+CJ3) ; PGZ is the efficacy evaluation value.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a method for accurate positioning and efficacy evaluation of an extracorporeal shock wave therapy device as described in any one of claims 1 to 7 is implemented.

9. An electronic device, characterized in that: It includes a memory for storing instructions; a processor for executing the instructions, so that the device implements a method for precise positioning and efficacy evaluation of an extracorporeal shock wave therapy device as described in any one of claims 1 to 7.

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