A training method and system based on spinal curvature

Abstract

The present invention relates to the technical field of scoliosis training, and more specifically, to a training method and system based on spinal curvature, comprising: collecting spinal data of a user, wherein the spinal data includes Cobb angle data and ATR angle data; in response to the spinal data meeting a preset condition, determining that the user's spine is curved, and then generating a training program, wherein the training program includes basic training days and training movements; calculating the degree of scoliosis of the user's spine based on the Cobb angle data and the ATR angle data; and calculating an adjusted target number of training days based on the degree of scoliosis and the basic number of training days. The present invention can calculate the degree of scoliosis of the user based on the user's spinal data, and then adjust the number of training days of the user based on the degree of scoliosis of the user, to avoid the situation where the user's scoliosis degree is small but a longer number of training days is still used, which ultimately results in more training days and wastes the user's time.

Description

Technical Field

[0001] The present invention relates to the technical field of scoliosis training, and more particularly to a training method and system based on spinal curvature. Background Art

[0002] The normal human spine has four anterior-posterior curvatures: the cervical vertebrae convex anteriorly, the thoracic vertebrae convex posteriorly, the lumbar vertebrae convex anteriorly, and the sacral vertebrae convex posteriorly, forming an S-shaped curve, known as the natural curvature of the spine. Scoliosis refers to a lateral deviation of the spine away from the midline. It is a three-dimensional deformity of the spine, including abnormalities in the coronal, sagittal, and axial planes. Depending on the location of scoliosis, it can be divided into thoracic scoliosis, lumbar scoliosis, and thoracolumbar scoliosis. Scoliosis typically occurs in the thoracic, lower lumbar, lower thoracic, and upper lumbar regions of the spine, with the thoracic region being the most susceptible. Specifically, thoracic scoliosis refers to the curvature of the thoracic spine, the most common region of scoliosis, and typically involves deformities of the ribs and spine. Lumbar scoliosis occurs in the lower lumbar region of the spine and can cause one hip to appear higher than the other or one leg to appear longer than the other. In addition, thoracolumbar scoliosis occurs in the lower part of the thoracic spine and the upper part of the lumbar spine and is usually congenital.

[0003] Currently, for scoliosis, the data measured by the device (the size of the Cobb angle and the ATR angle) is used to determine whether the user needs training. However, the current training model for scoliosis patients is fixed and cannot achieve good training results. Summary of the Invention

[0004] The present invention provides a training method and system based on spinal curvature, aiming to solve the problem in related technologies that the training mode for patients with scoliosis is fixed and cannot achieve good training effects.

[0005] In a first aspect, the present invention provides a training method based on spinal curvature, comprising: collecting spinal data of a user, wherein the spinal data includes Cobb angle data and ATR angle data; in response to the spinal data meeting a preset condition, determining that the user's spine is curved, and generating a training plan, wherein the training plan includes basic training days and training movements; and calculating the degree of scoliosis of the user's spine based on the Cobb angle data and the ATR angle data, using the following calculation formula:

[0006] ; Where Q represents the degree of scoliosis of the user's spine, It indicates the angle of thoracic scoliosis in the Cobb angle of the spine. It indicates the angle of lumbar scoliosis in the Cobb angle of the spine. Indicates the angle of lumbar scoliosis and thoracic scoliosis in the Cobb angle of the normal spine. Indicates the measurement of the atr angle of the spine, It represents the ATR angle of the normal spine, a and b are constants, represents a standard normalization function; and calculates the adjusted target training days according to the scoliosis degree and the basic training days.

[0007] In one embodiment, the adjusted target training days are calculated based on the scoliosis degree and the basic training days, and the method further includes: collecting the user's spinal data once every preset number of days to determine whether the user's spine is curved; and stopping training in response to the user's spine returning to normal.

[0008] In one embodiment, in response to the spinal data meeting a preset condition, the user's spine is curved, including: in response to the angle of thoracic scoliosis or the angle of lumbar scoliosis being greater than a first threshold, it is determined that the user's spine is curved; in response to the ATR angle being greater than a second threshold, it is determined that the user's spine is curved.

[0009] In one embodiment, determining whether the user's spine is curved based on the user's spine data includes: in response to the spine data not meeting a preset condition, determining that the user's spine is not curved.

[0010] In one embodiment, it includes: in response to the angle of thoracic scoliosis or the angle of lumbar scoliosis being less than a first threshold, it is determined that the user's spine has no scoliosis; in response to the ATR angle meeting a second threshold, it is determined that the user's spine has no scoliosis.

[0011] In one embodiment, calculating the adjusted target training days according to the scoliosis degree and the basic training days includes: multiplying the scoliosis degree by the basic training days to obtain the adjusted target training days.

[0012] In one embodiment, the basic training days refer to the longest continuous training days in historical data.

[0013] In a second aspect, the present invention further provides a training system based on spinal curvature, comprising a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to implement any of the above-mentioned training methods based on spinal curvature.

[0014] Beneficial effect: The user's scoliosis degree can be calculated based on the user's spinal data, and then the user's training days can be adjusted according to the user's scoliosis degree, avoiding the situation where the user's scoliosis degree is relatively small but still requires longer training days, which ultimately results in more training days and wastes the user's time. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The above and other objects, features and advantages of the exemplary embodiments of the present invention will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the accompanying drawings, several embodiments of the present invention are shown in an illustrative and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0016] Figure 1 is a flow chart schematically illustrating adjusting the number of training days according to an embodiment of the present invention;

[0017] Figure 2 is a schematic diagram schematically showing the structure of a system according to the present invention; DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the scope of protection of the present invention.

[0019] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0020] like Figure 1 As shown, step S101: collecting the user's spinal data;

[0021] In one embodiment, an electronic spine measuring instrument can be used to measure the user's spinal data, and the Cobb angle data and ATR angle data can also be measured through X-ray images. Specifically, the measured spinal data include Cobb angle data and ATR angle data. The Cobb angle of the spine is an angle used to measure the degree of scoliosis. It can be defined by the maximum scoliosis angle between two vertebrae (vertebrae) on the electronic spine measuring instrument. The Cobb angle is usually used to evaluate scoliosis lesions, such as scoliosis. When measuring the Cobb angle, it is necessary to select the two vertebrae with the most obvious scoliosis of the patient, find the upper and lower edges of the two vertebrae on the electronic spine measuring instrument respectively, and then calculate the angle between the two lines formed by connecting the two edges, which is the Cobb angle.

[0022] It is important to note that the Cobb angle measurement method for thoracic scoliosis is as follows: On an electronic spinometer, select the two vertebrae with the most pronounced thoracic scoliosis—the upper and lower vertebrae on the convex side. Locate the upper and lower edges of these two vertebrae. Connecting these two vertebrae, draw two lines, one on the convex side and one on the opposite side. On each of these lines, draw a line perpendicular to the vertebral edge, intersecting with the vertebral edge. Then, draw a straight line through these two intersection points, forming the lower edge of the scoliosis curve and the upper edge on the opposite side. The angle between this line and the vertebral edge is the Cobb angle for thoracic scoliosis.

[0023] In one embodiment, a method for measuring the Cobb angle of lumbar scoliosis is as follows: On an electronic spinometer, select the two vertebrae with the most pronounced lumbar scoliosis, namely, the upper and lower vertebrae on the convex side of the scoliosis. Locate the upper and lower edges of these two vertebrae. Connecting the upper and lower edges of these two vertebrae, draw two lines, one on the convex side of the scoliosis and the other on the opposite side of the scoliosis. Draw a line perpendicular to the vertebral edge on each of these two lines, intersecting them. Then, draw a straight line through these two intersection points, forming the lower edge of the scoliosis curve and the upper edge on the opposite side of the scoliosis. The angle between this straight line and the vertebral edge is the Cobb angle of lumbar scoliosis.

[0024] In one embodiment, a method for measuring the spinal articulation angle is as follows: at the most obvious part of the scoliosis, the inflection point of the scoliosis curve (i.e., the most prominent vertebra) is selected, which is called the inflection point vertebra or the vertex vertebra. Two adjacent vertebrae are selected as reference vertebrae, usually the vertebra above and the vertebra below the inflection point vertebra. On an X-ray image or an electronic spinometer, a transverse reference line is drawn through the transverse process of the reference vertebra. This line can be used as a benchmark to measure the degree of rotation of the vertebra. The position of the transverse process of the inflection point vertebra on the reference line is observed. If the transverse process of the inflection point vertebra deviates from the reference line, it means that the vertebra has rotated. By observing the position of the transverse process of the vertebra on the reference line, the degree of rotation of the vertebra can be estimated. The greater the degree of rotation, the greater the angle at which the vertebra deviates from the reference line, which is the so-called articulation angle. The measured articulation angle is recorded, usually expressed in degrees.

[0025] In one embodiment, the user's spine data may be collected multiple times, and the average value of the multiple measured spine data may be used as the evaluation data.

[0026] Step S102: In response to the spinal data meeting a preset condition, it is determined that the user's spine is curved, and a training plan is generated.

[0027] In one embodiment, the spinal data meeting the preset conditions means: if the angle of thoracic scoliosis or the angle of lumbar scoliosis is greater than a first threshold, where the first threshold is the degree of the normal spinal Cobb angle, then it is determined that the user's spine is curved; or when the ATR angle is greater than a second threshold, then it is determined that the user's spine is curved. When the measured spinal data meets any of the above conditions, it is determined that the user's spine has scoliosis. At this time, a training plan is generated on the date selector function, and the training plan includes basic training days and training movements to arrange training and correction for the user. In one embodiment, the basic training days refer to the longest continuous training days in the historical data.

[0028] In one embodiment, if the spinal data does not meet the preset conditions, it is determined that the user's spine is not curved. Specifically, if the angle of thoracic scoliosis or the angle of lumbar scoliosis is less than a first threshold, it is determined that the user's spine is not scoliotic; and in response to the ATR angle meeting a second threshold, where the first threshold is the degree of the normal spinal ATR angle, it is determined that the user's spine is not scoliotic.

[0029] Step S103: Calculate the degree of scoliosis of the user's spine based on the Cobb angle data and the ATR angle data.

[0030] In one embodiment, the calculation formula for the degree of scoliosis is:

[0031] .

[0032] Among them, Q represents the degree of scoliosis of the user's spine, It indicates the angle of thoracic scoliosis in the Cobb angle of the spine. It indicates the angle of lumbar scoliosis in the Cobb angle of the spine. Indicates the angle of lumbar scoliosis and thoracic scoliosis in the Cobb angle of the normal spine. Indicates the measurement of the atr angle of the spine, It represents the ATR angle of the normal spine, a and b are constants, Represents the standard normalization function.

[0033] in, The greater the difference, the greater the difference between the angle of thoracic scoliosis and the angle of normal thoracic scoliosis, and therefore, the greater the degree of scoliosis Q. The greater the difference, the greater the difference between the angle of lumbar scoliosis and the angle of normal thoracic scoliosis, and therefore, the greater the degree of scoliosis Q. The greater the difference, the greater the difference between the ATR angle and the ATR angle of the normal spine, and therefore, the greater the degree of scoliosis Q.

[0034] Step S104: Calculating the adjusted target training days according to the scoliosis degree and the basic training days.

[0035] In one embodiment, the basic training days refer to the longest continuous training days in historical data. The greater the calculated scoliosis degree Q of the user, the more severe the patient's scoliosis, so a longer training time is required. The scoliosis degree is multiplied by the basic training days to obtain the adjusted target training days. The greater the scoliosis degree Q, the more severe the patient's scoliosis, so a shorter training time is required. In general, the patient's training days are adjusted based on the user's scoliosis degree Q.

[0036] In one embodiment, during patient training, the user's spinal data is collected every preset number of days to determine whether the user's spine is curved; if the user's spine returns to normal, the training is stopped; if the user's spine is still curved, the training is continued.

[0037] Through the above steps, the degree of scoliosis of the user can be calculated based on the user's spinal data, and then the number of training days of the user can be adjusted according to the degree of scoliosis of the user, so as to avoid the situation where the user's scoliosis degree is relatively small but still uses longer training days, which ultimately results in more training days and wastes the user's time.

[0038] The present invention also provides a training system based on spinal curvature. Figure 2 As shown, the system includes a processor and a memory, wherein the memory stores computer program instructions. When the computer program instructions are executed by the processor, a training method based on spinal curvature according to the first aspect of the present invention is implemented.

[0039] In one embodiment, the present invention provides a computer device whose internal structure can be as follows: Figure 2As shown. The computer device includes a processor, memory, a communication interface, a display screen, and an input device connected via a system bus. The processor of the computer device provides computing and control capabilities and can be a variety of types, such as a CPU, single-chip microcomputer, DSP, or FPGA. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. When the computer program is executed, the steps described in the above method embodiment, such as steps S101 to S104, can be completed. The internal memory provides an environment for the operating system and computer program stored in the non-volatile storage medium to run. The communication interface of the computer device is used to communicate with an external terminal via wired or wireless communication. Wireless communication can be achieved via Wi-Fi, a carrier network, NFC (near-field communication), or other technologies. When executed by the processor, the computer program implements a spinal curvature-based training method. The display screen of the computer device can be a liquid crystal display or an electronic ink display. The input device of the computer device can be a touch screen covering the display screen, or keys, a trackball, or a touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse.

[0040] Those skilled in the art will understand that Figure 2 The structure shown in the figure is merely a block diagram of a portion of the structure related to the solution of the present invention and does not constitute a limitation on the computer device of the present invention. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0041] The system further includes other components well known to those skilled in the art, such as a communication bus and a communication interface. The configuration and functions of these components are known in the art and thus will not be described in detail here.

[0042] In the present invention, the aforementioned memory can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, the computer-readable storage medium can be any suitable magnetic or magneto-optical storage medium, such as Resistive Random Access Memory (RRAM), Dynamic Random Access Memory (DRAM), Static Random Access Memory (SRAM), Enhanced Dynamic Random Access Memory (EDRAM), High-Bandwidth Memory (HBM), Hybrid Memory Cube (HMC), etc., or any other medium that can be used to store the required information and can be accessed by an application, module, or both. Any such computer storage medium can be part of, accessible to, or connectable to a device. Any application or module described in the present invention can be implemented using computer-readable / executable instructions that can be stored or otherwise maintained by such a computer-readable medium.

[0043] In the description of this specification, "multiple" and "several" mean at least two, such as two, three or more, unless otherwise clearly defined.

[0044] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0045] The above-described embodiments merely illustrate several implementations of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the spirit of the present invention, and all such variations and improvements fall within the scope of protection of the present invention.

Claims

1. A training method based on spinal curvature, characterized in that: include: Collecting the user's spinal data, wherein the spinal data includes Cobb angle data and ATR angle data; In response to the spinal data meeting a preset condition, it is determined that the user's spine is curved, generating a training plan, wherein the training plan includes basic training days and training exercises, wherein the basic training days refer to the longest continuous training days in historical data; The scoliosis degree of the user's spine is calculated based on the Cobb angle data and the ATR angle data. The calculation formula is: ； Among them, Q represents the degree of scoliosis of the user's spine, It indicates the angle of thoracic scoliosis in the Cobb angle of the spine. It indicates the angle of lumbar scoliosis in the Cobb angle of the spine. Indicates the angle of lumbar scoliosis and thoracic scoliosis in the Cobb angle of the normal spine. Indicates the measurement of the atr angle of the spine, It represents the ATR angle of the normal spine, a and b are constants, represents the standard normalization function; The adjusted target training days are calculated according to the scoliosis degree and the basic training days.

2. The training method based on spinal curvature according to claim 1, characterized in that: Calculating an adjusted target number of training days based on the degree of scoliosis and the number of basic training days, further comprising; collecting the user's spinal data every preset number of days to determine whether the user's spine is curved; In response to the user's spine returning to normal, the training is stopped.

3. The training method based on spinal curvature according to claim 1, characterized in that: In response to the spinal data meeting a preset condition, the user's spine is curved, including: In response to the angle of thoracic scoliosis or the angle of lumbar scoliosis being greater than a first threshold, determining that the user's spine is curved; In response to the atr angle being greater than a second threshold, it is determined that the user's spine is curved.

4. The training method based on spinal curvature according to claim 3, characterized in that: Determining whether the user's spine is curved according to the user's spine data includes: In response to the spine data not meeting a preset condition, it is determined that the user's spine has no curvature.

5. The training method based on spinal curvature according to claim 4, characterized in that: include: In response to the angle of thoracic scoliosis or the angle of lumbar scoliosis being less than a first threshold, it is determined that no scoliosis is found in the user's spine; In response to the atr angle meeting the second threshold, it is determined that no scoliosis is found in the user's spine.

6. The training method based on spinal curvature according to any one of claims 1 to 5, characterized in that: Calculate an adjusted target number of training days based on the degree of scoliosis and the number of basic training days, including: The scoliosis degree is multiplied by the basic training days to obtain the adjusted target training days.

7. A training system based on spinal curvature, comprising a processor and a memory, wherein the memory stores a computer program, characterized in that: The processor executes the computer program to implement the spinal curvature-based training method according to any one of claims 1 to 6.

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