An acupoint positioning method based on bone degree of fracture and related equipment

Abstract

This invention discloses an acupoint location method and related equipment based on bone measurement, applied in the field of data processing technology. The invention acquires back positioning reference data and traditional Chinese medicine bone measurement standards, combines the back positioning reference data with preset dynamic proportional parameters, simulates the acupoint coordinate mapping relationship for users of different body types, establishes conversion rules between bone measurement inches and physical length based on traditional Chinese medicine bone measurement and real human back data, and generates dynamic proportional constraints. Based on the dynamic proportional parameters, back reference data, sample proportion control, and parameter combination constraints, the invention processes the data to generate acupoint target coordinates. The generated acupoint target coordinates are then processed, combined with individual difference parameters including bone morphology, soft tissue thickness, and dynamic posture, to generate sample-related evaluation results. Finally, the evaluation results and parameter settings are processed in accordance with traditional Chinese medicine bone measurement standards and international standards to generate acupoint location information.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to a method and related equipment for locating acupoints based on bone flexural strength. Background Technology

[0002] In traditional Chinese medicine, acupoint location plays a crucial role in the accuracy and effectiveness of treatments such as acupuncture and massage. However, current techniques have many areas for improvement. Firstly, traditional bone measurement methods are largely based on fixed human proportion models, failing to fully consider the significant differences in bone morphology, soft tissue thickness, and dynamic posture among individuals. For instance, in obese individuals, the actual depth of acupoints differs considerably from the standard model due to the thicker fat layer; in pregnant women, the increased lumbar lordosis causes a significant downward shift in the longitudinal position of acupoints on the back; and in individuals who maintain a forward-leaning posture for extended periods, the acupoints will also deviate from their standard positions. Relying solely on a uniform standard model for acupoint location can easily lead to inaccurate acupoint positioning, thus affecting treatment outcomes.

[0003] On the other hand, there is currently a lack of a precise and dynamic mechanism for converting bone measurements to actual physical lengths. The actual height and body shape of people vary greatly, and a simple fixed conversion method cannot accommodate individual differences. For example, people of different heights have different back lengths, and using traditional fixed bone measurements cannot accurately correspond to the actual acupoint locations for each person, significantly reducing the accuracy of acupoint location.

[0004] Furthermore, existing technologies have shortcomings in integrating traditional Chinese medicine theory with modern technological applications, making it difficult to achieve comprehensive, accurate, and personalized acupoint location. When modern devices such as smart hardware are applied to acupoint location in traditional Chinese medicine, they cannot effectively combine traditional Chinese medicine bone measurement standards with individual differences for dynamic adjustment. Summary of the Invention

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0006] A method for locating acupoints based on bone measurement is characterized by the following steps: acquiring back positioning reference data and traditional Chinese medicine bone measurement standards. The back positioning reference data includes the locations of the Dazhui acupoint and coccyx obtained through motor scanning monitoring current, and the calculated back length. The traditional Chinese medicine bone measurement standards refer to the national standard's rule of dividing the back longitudinally into 21 equal parts. The back positioning reference data and preset dynamic proportional parameters are combined to simulate the acupoint coordinate mapping relationship for users of different body types. Based on the traditional Chinese medicine bone measurement method and real human back data, a conversion rule between bone measurement inches and physical length is established, generating dynamic proportional constraints. The dynamic proportional parameters, back reference data, sample proportion control, and parameter combination constraints are processed to generate acupoint target coordinates. The generated acupoint target coordinates are processed, and individual difference parameters including bone morphology, soft tissue thickness, and dynamic posture are combined to generate sample-related evaluation results. The evaluation results and parameter settings are processed in accordance with traditional Chinese medicine bone measurement standards and international standards to generate acupoint location information.

[0007] A device for locating acupoints based on bone measurement is disclosed. The device includes: an acquisition module for acquiring back positioning reference data and traditional Chinese medicine (TCM) bone measurement standards. The back positioning reference data includes the locations of the Dazhui (GV14) acupoint and the coccyx, obtained through motor scanning monitoring current, and the calculated back length. The TCM bone measurement standards refer to the national standard's rule of dividing the back longitudinally into 21 equal parts. A processing module is used to combine the back positioning reference data and preset dynamic proportional parameters to simulate the acupoint coordinate mapping relationship for users of different body types. Based on TCM bone measurement and real human back data, a conversion rule between bone measurement and physical length is established, generating dynamic proportional constraints. The module processes the dynamic proportional parameters, back reference data, sample proportion control, and parameter combination constraints to generate acupoint target coordinates. The generated acupoint target coordinates are processed, and individual difference parameters including bone morphology, soft tissue thickness, and dynamic posture are combined to generate sample-related evaluation results. The evaluation results and parameter settings are processed in accordance with TCM bone measurement standards and international standards to generate acupoint location information.

[0008] Its beneficial effects are as follows: This invention provides an acupoint location method based on bone measurement, improving the accuracy and standardization of location. It uses both the traditional Chinese medicine bone measurement method and the national standard GB / T12346-2021 as dual bases. By establishing dynamic conversion rules between bone measurement and physical length, combined with parameter combination constraints, it ensures that acupoint location conforms to both traditional Chinese medicine theory and international standards, reducing location deviation. It adapts to diverse individual characteristics by extracting individual difference parameters such as bone morphology, soft tissue thickness, and dynamic posture, constructing a three-dimensional correction model for targeted correction (such as lumbar lordosis compensation, obesity depth adjustment, and sitting posture deviation correction), making the location results adaptable to users of different body types and postures, thus improving universality.

[0009] Based on the precise acquisition of bony landmark locations using motor scanning current feedback, and combined with dynamic proportional parameter correlation analysis and multi-parameter collaborative verification mechanisms, a complete technical process from baseline data acquisition to final coordinate generation is formed. This process is logically rigorous and quantifiable, facilitating application in scenarios such as smart hardware. Through a standard-correction dual-track verification model, over-correction is suppressed while ensuring parameters conform to specifications. The final generated 3D coordinates retain standard benchmarks while incorporating individual adaptation characteristics, balancing the inheritance of traditional medicine with modern technological innovation. Attached Figure Description

[0010] Figure 1 A flowchart of an acupoint location method based on bone folding method provided in an embodiment of the present invention;

[0011] Figure 2 This is a schematic diagram of a module for an acupoint positioning device based on the bone folding method, provided in an embodiment of the present invention. Detailed Implementation

[0012] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention. Figure 1 This application describes an acupoint location method based on bone fraction measurement according to an exemplary embodiment of the present application.

[0013] In this application embodiment, an acupoint location method based on bone fraction measurement is applied to smart hardware, such as... Figure 1 As shown:

[0014] S101, acquire back positioning reference data and traditional Chinese medicine bone measurement standards. The back positioning reference data includes the location of the Dazhui acupoint and coccyx obtained by monitoring the current through motor scanning, and the calculated back length. The traditional Chinese medicine bone measurement standards refer to the national standard rule of dividing the back longitudinally into 21 equal parts.

[0015] In one implementation, back positioning reference data is acquired, specifically, the location of the Dazhui acupoint is determined: the massage head moves down from the shoulder starting point, and the current is monitored in real time. When the massage head moves to the junction of the shoulder and neck, the spinous process of the 7th cervical vertebra (the most prominent bony landmark on the back) will cause a sudden increase in the motor load, and the current will rise significantly to about 0.15A or more. If the first detected current peak is 0.18A, this location is determined to be the Dazhui acupoint.

[0016] As the massage head moves downwards to the lumbosacral junction, upon contacting the sacral plateau (a hard bone surface), the current surges twice, typically reaching 0.2A. This location is identified as the coccyx. If the user is leaning forward, the current peak may be delayed until the upper edge of the gluteal cleft. In this case, compensation using a posture sensor is necessary to determine the coccyx location. The specific process will be explained in detail later. Based on the obtained locations of the Dazhui acupoint and the coccyx, the longitudinal distance between the two points is calculated, which is the back length. For example, if the measured distance from the Dazhui acupoint to the coccyx is 52.5cm, then the back length is... =52.5cm. The standard for bone measurement in Traditional Chinese Medicine refers to the national standard GB / T12346-2021, which divides the back longitudinally into 21 equal parts. Specifically, the length from the Dazhui acupoint (below the spinous process of C7) to the coccyx (end of the coccyx) is 21 bone measurements. The conversion formula between bone measurement and physical length is: 1 bone measurement = L_back / 21; for the example of a back length of 52.5cm, 1 bone measurement = 52.5 / 21 = 2.5cm.

[0017] In another implementation, arm positioning reference data is obtained, including acquiring the positions of the elbow crease and wrist crease: the positions of the elbow crease and wrist crease are determined using appropriate positioning methods. The longitudinal distance from the elbow crease to the wrist crease is measured, which is the arm length. For example, if the measured distance from the elbow crease to the wrist crease is 36cm, then the arm length is... =36cm. According to the national standard GB / T12346-2021, the bone measurement of the arm (from the elbow crease to the wrist crease) is divided into 12 equal parts, that is, the length from the elbow crease to the wrist crease is 12 bone measurements. The formula for converting bone measurements to physical length is 1 bone measurement = / 12, For the example above where the arm length is 36cm, 1 bone measurement inch = 36 / 12 = 3cm. Obtain the positions of the pubic symphysis and the medial femoral condyle, and calculate the distance between the two points to get the thigh length, assumed to be 54cm. =54cm). According to national standards, the thigh (from the pubic symphysis to the medial condyle of the femur) is 18 bone measures. The conversion formula is 1 bone measure = / 18, in the example, 1 bone measurement = 54 / 18 = 3cm. Obtain the positions of the medial condyle of the tibia and the tip of the medial malleolus, and calculate the distance between the two points, which is the length of the lower leg, assumed to be 45cm. =45cm). According to national standards, the lower leg (medial condyle of the tibia to the tip of the medial malleolus) is 15 bone measurements. The conversion formula is 1 bone measurement = / 15, in the example, 1 bone measurement inch = 45 / 15 = 3cm.

[0018] Determine the positions of the medial malleolus and the sole of the foot, and calculate the distance between the two points; this distance is the foot length, assumed to be 9cm. =9cm). According to national standards, the foot (from the tip of the medial malleolus to the sole of the foot) is 3 bone measurements. The conversion formula is 1 bone measurement = L_foot / 3, in the example 1 bone measurement = 9 / 3 = 3cm. Obtain the positions of the xiphoid and pubic symphysis, and calculate the distance between the two points, which is the abdominal length, assumed to be 45cm. =45cm). According to national standards, the abdomen (from the xiphoid process to the pubic symphysis) is 9 bone measures. The conversion formula is 1 bone measure = / 9, in the example, 1 bone measurement cun = 45 / 9 = 5cm. Obtain the locations of the Yintang and Fengfu acupoints (from the glabella to the posterior hairline), and calculate the distance between the two points to get the head length, assumed to be 36cm. =36cm). According to national standards, the head (from the glabella to the back hairline) is 12 bone measurements. The conversion formula is 1 bone measurement = / 12, in the example, 1 bone measurement inch = 36 / 12 = 3cm.

[0019] S102 combines back positioning reference data and preset dynamic proportional parameters to simulate the acupoint coordinate mapping relationship of users with different body types. Based on the traditional Chinese medicine bone measurement method and real human back data, it establishes the conversion rules between bone measurement and physical length and generates dynamic proportional constraints.

[0020] In one embodiment, a correlation analysis is performed on the back positioning reference data and preset dynamic proportional parameters to generate a simulated correlation analysis result of the acupoint coordinate mapping relationship for users of different body types. The back positioning reference data includes bony landmark location data determined based on current feedback and the calculated back length. The preset dynamic proportional parameters include parameters representing the longitudinal and lateral proportions of acupoints. Based on the bony landmark location data determined by current feedback, specifically, the location of the Dazhui acupoint is determined when the initial current peak is 0.18A, and the location of the coccyx is determined when the current second surges to 0.2A. Based on the above Dazhui and coccyx locations, the longitudinal distance between them is measured to be 52.5cm, which is the back length. =52.5cm. The preset dynamic proportional parameters represent the proportion of the vertical dimension of the acupoint. Taking the Shenshu acupoint as an example, its vertical dimension corresponds to 14 bone degrees, accounting for 14 / 21 of the total bone degrees (21 inches) on the back. The parameter for the lateral dimension of the acupoint is 1.5 bone degrees lateral to the Shenshu acupoint.

[0021] Back length =52.5 cm is associated with the longitudinal and transverse bone measurement parameters of the Shenshu acupoint to simulate the acupoint coordinate mapping relationship of users with different body types. When the back length changes, the acupoint coordinates calculated based on the proportion of bone measurements will change dynamically, and this change shows a stable proportional relationship. The generated simulated correlation analysis result shows that the coordinate mapping relationship of the Shenshu acupoint is linearly correlated with the back length. The longitudinal position increases in proportion to 14 / 21 as the back length increases, and the lateral offset increases in proportion to 1.5 / 21 as the back length increases.

[0022] The correlation analysis results are screened to generate a list of target simulation variables, which includes the back length parameter , the longitudinal bone measurement parameter, the lateral bone measurement parameter, and the physical conversion coefficient parameter of bone measurement / 21. Key parameters are selected from the above correlation analysis results to form a list of target simulation variables: the back length parameter is =52.5 cm; the longitudinal bone measurement parameter is 14 (the bone measurement number corresponding to the Shenshu acupoint longitudinally); the lateral bone measurement parameter is 1.5 (the bone measurement number of the Shenshu acupoint laterally); the physical conversion coefficient parameter of bone measurement is / 21 = 52.5 / 21 = 2.5 cm / bone measurement.

[0023] The correlation analysis results and the list of target simulation variables are processed to generate parameter combination constraint conditions, including the 21 equal-part hard constraint that meets international standards, the dynamic conversion coordination constraint between bone measurement and physical length, and the semantic constraint of the acupoint measurement definition of the traditional Chinese medicine bone measurement method. According to the national standard "GB / T 12346 - 2021", the longitudinal length of the back (from the Dazhui acupoint to the coccyx) is fixedly divided into 21 equal parts, that is, the back length necessarily corresponds to 21 bone measurements. For example, a back length of 52.5 cm in the above example corresponds to 21 bone measurements, and this constraint does not change with the user's body type. The physical length of bone measurement is dynamically associated with the back length, and the conversion formula is 1 bone measurement = / 21, and the calculation of acupoint coordinates needs to follow this conversion relationship. For example, the longitudinal position of the Shenshu acupoint = the longitudinal bone measurement number × ( / 21) = 14 × 2.5 = 35 cm, and the lateral offset = the lateral bone measurement number × ( / 21) = 1.5 × 2.5 = 3.75 cm, ensuring the coordinated consistency of the conversion between bone measurement and physical length in the calculation. The bone measurement number corresponding to the acupoint strictly follows the definition of the traditional Chinese medicine bone measurement method. For example, the Shenshu acupoint is fixed at 14 bone measurements longitudinally and 1.5 bone measurements laterally, and cannot be changed arbitrarily, ensuring that the acupoint location conforms to the semantic meaning of traditional Chinese medicine theory.

[0024] S103. Process based on dynamic ratio parameters, back reference data, sample ratio control, and parameter combination constraint conditions to generate acupoint target coordinates.

[0025] In one implementation, feature extraction processing is performed on dynamic ratio parameters, back reference data, and sample ratio control to generate bone measurement conversion features, bony landmark positioning features, and sample body type distribution features. Among them, the dynamic ratio parameter features include the target combination parameter data of the longitudinal inch ratio and the lateral offset inch number that conform to the traditional Chinese medicine bone measurement method; the back reference data features include the data of the positions of the Dazhui acupoint and the coccyx determined by current feedback and the calculated back length The core of the dynamic ratio parameter feature extraction is to convert the fixed inch relationship between acupoints and body surface landmarks in the traditional Chinese medicine bone measurement method into quantifiable ratio parameters to ensure that acupoint positioning conforms to the norms of traditional Chinese medicine theory. Taking the Shenshu acupoint as an example, according to the traditional Chinese medicine bone measurement method and the national standard 《GB / T12346-2021》, the back is longitudinally divided into 21 bone inches from the Dazhui acupoint (below the spinous process of C7) to the coccyx (the tip of the coccyx), and the Shenshu acupoint is located below the spinous process of the second lumbar vertebra. The longitudinal distance from the Dazhui acupoint to this position corresponds to 14 bone inches. Therefore, the longitudinal inch ratio is the ratio of 14 bone inches to the total back bone inches (21 inches), that is, 14 / 21≈0.67. This ratio directly determines the mapping relationship between the longitudinal position of the acupoint and the full length of the back, and is the core basis for longitudinal positioning in dynamic ratio parameters.

[0026] The Shenshu acupoint is located 1.5 bone inches lateral to the spinous process of the second lumbar vertebra, which does not need to be adjusted according to the back length and only serves as the reference value for calculating the lateral coordinates. The longitudinal inch ratio (14 / 21) and the lateral offset inch number (1.5) together constitute the dynamic ratio parameter feature (14 / 21, 1.5). The former is used to convert the back length into the longitudinal physical coordinates of the acupoint, and the latter is used to calculate the lateral physical coordinates in combination with the conversion coefficient between bone inches and physical length. Both are indispensable and jointly ensure the accuracy of acupoint coordinate mapping.

[0027] The back reference data feature is the basic physical data for acupoint positioning. Its extraction process depends on the accurate identification and length measurement of bony landmarks. The Dazhui acupoint and the coccyx, as the starting and ending points of the back longitudinal length, their positioning depends on the current on the current change characteristics during motor scanning. When the massage head touches the spinous process of the seventh cervical vertebra (the most prominent bony landmark on the back), the motor load suddenly increases, resulting in a significant increase in current. The first current peak (such as 0.18A in the example) is a clear signal of the position of the Dazhui acupoint; when the massage head moves to the lumbosacral junction and touches the sacral platform (hard bone surface), the motor load mutates again, and the current suddenly increases again (0.2A in the example), thereby determining the position of the coccyx. This current feedback-based positioning method can accurately capture the physical characteristics of bony landmarks and provide a reliable starting point and ending point for subsequent length calculation.

[0028] Back length It is the longitudinal straight-line distance between the Dazhui acupoint and the coccyx, obtained by measuring the spatial coordinate difference between the two bony landmarks. =52.5cm, this data is the core benchmark for converting bone measurement to physical length, that is, 1 bone measurement = / 21=52.5 / 21=2.5cm. The physical coordinates of all acupoints must be calculated based on this length.

[0029] Bony landmark location data is a prerequisite for back length calculation. Without precise location of the Dazhui (GV14) acupoint and coccyx, accurate back length cannot be obtained. Back length data, in turn, is the carrier of dynamic proportional parameters. Together, they constitute the basic data system for acupoint location, ensuring a reliable physical basis for subsequent coordinate calculations. The purpose of sample ratio control feature extraction is to ensure that the generated acupoint coordinates are adaptable to diverse user groups by reasonably allocating the proportion of samples from different body types. Different body types (such as normal build, obese, pregnant women, etc.) have different back morphologies; for example, obese users have thicker soft tissue, and pregnant women have increased lumbar lordosis. These differences affect the individual correction of the actual acupoint location. By setting different body type sample ratios, the characteristics of various body types can be taken into account during coordinate generation, avoiding insufficient adaptability of the positioning model due to a single sample.

[0030] The process of generating acupoint target coordinates undergoes feature extraction processing, generating parameter combination simulation features, baseline data mapping features, and sample ratio control features. The parameter combination simulation features include proportional parameter combinations for dynamic transformation of acupoint coordinates across different body types; the baseline data mapping features include mapping relationship data between bony landmark locations and acupoint coordinates; and the sample ratio control features include coordinate generation ratio allocation data for samples of different body types. The simulation considers the coordinate transformation ratio parameter combinations for users of different body types, such as the normal body type (…). =52.5cm) The vertical conversion ratio is 14 / 21, and the horizontal conversion ratio is 1.5 / 21; the leaner body type ( =49cm) The longitudinal conversion ratio is 14 / 21, and the lateral conversion ratio is 1.5 / 21 (the ratio remains unchanged, but the physical length varies). (Changes). These combinations of proportional parameters for different body types constitute the features of the parameter combination simulation.

[0031] The baseline data mapping feature reflects the mapping relationship between bony landmarks and acupoint coordinates. Taking the Shenshu acupoint as an example, starting from the Dazhui acupoint, a longitudinal offset of 14 bone degrees corresponds to the position below the spinous process of the second lumbar vertebra, and a transverse offset of 1.5 bone degrees is the coordinate of the Shenshu acupoint. The mapping relationship data is "Dazhui acupoint → (14 bone degrees longitudinally, 1.5 bone degrees transversely) → Shenshu acupoint". The sample proportion control feature corresponds to the coordinate generation ratio allocation of samples of different body types. For example, acupoint coordinates of each body type are generated according to the ratio of 60% for normal body type, 20% for obese body type, and 20% for pregnant body type. This allocation data is the sample proportion control feature.

[0032] The proportions of 60% normal body type, 20% obese body type, and 20% pregnant body type are set to ensure the representativeness of the largest proportion of normal body type samples while also covering the needs of special body types such as obese and pregnant women. This proportion allocation allows the generated acupoint coordinate model to be more evenly adapted to users of different body types during training or application, reducing positioning bias caused by insufficient samples of special body types. Although the sample proportion control features (such as 60%, 20%, 20%) do not directly participate in the calculation of acupoint coordinates, they will affect the sample distribution of coordinate generation. Through reasonable proportion settings, it can be ensured that dynamic proportion parameter features and back baseline data features can be effectively validated and applied in different body type samples, and the final generated acupoint coordinate results can better cover the body type diversity of actual users.

[0033] Based on parameter combination constraints, this study analyzes and processes dynamic proportional parameter features, back baseline data features, sample ratio control features, parameter combination simulation features, baseline data mapping features, and sample ratio control features. When generating coordinates, it verifies whether the parameter combination conforms to international standards and traditional Chinese medicine bone measurement specifications, generating acupoint target coordinates. These acupoint target coordinates characterize the physical location mapping features of acupoints for users of different body types, resulting in acupoint coordinate generation results that include dynamic proportional parameters, back baseline data, and sample ratio control. Bone measurement inch to physical length conversion: 1 bone measurement inch = / 21, for For a user with a normal body size of 52.5cm, 1 bone measurement inch = 52.5 / 21 = 2.5cm. Taking a user with a normal body size as an example, the longitudinal position of the Shenshu acupoint = 14 × 2.5 = 35cm (i.e., 14 / 21 × 52.5); the lateral offset = 1.5 × 2.5 = 3.75cm (i.e., 1.5 × 52.5 / 21). This coordinate represents the physical location mapping characteristics of the acupoint for this body type user, combined with dynamic proportional parameters (14 / 21, 1.5) and back baseline data (…). =52.5cm, Dazhui acupoint / coccyx location), sample ratio control (60% normal body type samples), to form a complete acupoint coordinate generation result. For thinner body type (L_back=49cm), the vertical position is generated as 14×(49 / 21)≈32.67cm; the horizontal offset is 1.5×(49 / 21)=3.5cm, to ensure that the coordinate generation logic is consistent for different body types.

[0034] S104 processes the generated acupoint target coordinates and combines them with individual difference parameters including bone morphology, soft tissue thickness, and dynamic posture to generate sample-related evaluation results.

[0035] In one implementation, the generated acupoint target coordinates are adapted based on individual differences in dynamic posture parameters. A three-dimensional correction model of skeletal morphology, soft tissue, and posture is used to correct the standard coordinates, and targeted compensation parameters are constructed to address skeletal morphology differences. For example, in cases of increased lumbar lordosis (e.g., in pregnant women), the lumbar lordosis causes a downward shift in the longitudinal position of the Shenshu acupoint. The compensation parameter is set to b = -2 to -3 cm. If the longitudinal position of the Shenshu acupoint in the standard coordinates is 33.5 cm (based on a back length of 50 cm), and due to increased lumbar lordosis in pregnant women, b = -2.5 cm is used, then the corrected longitudinal position is 33.5 - 2.5 = 31 cm.

[0036] For scoliosis, lateral deviation requires angular compensation. The compensation parameter formula is as follows: Specifically, if a user has a 15° scoliosis, the lateral compensation value will be... That is, an increase of 1.5cm on the original lateral offset.

[0037] A combined soft tissue thickness-acupoint depth correction was performed. For obese users, the fat layer compression effect was addressed by calculating a depth correction value using abdominal circumference increments, achieving precise compensation for acupoint depth. Specifically, for obese users (BMI > 28), the depth correction value was calculated using abdominal circumference increments, using the following formula: (Waist circumference increment = measured waist circumference - standard reference waist circumference 80cm). If the user's waist circumference is 100cm, the waist circumference increment = 100 - 80 = 20cm, then the depth correction value... mm, meaning the actual depth of the acupoint needs to be 6mm greater than the standard depth.

[0038] A dynamic posture-coordinate offset adaptive regularization is adopted, defining a position offset regularization term for the dynamic posture of forward-leaning sitting to enhance coordinate stability under posture changes. For the dynamic posture of forward-leaning sitting (such as driving posture), the position offset regularization term is defined as an upward shift of the coccyx position by 2-3cm, corresponding to a longitudinal compensation value b=-2cm. If the longitudinal position of the Shenshu acupoint in the standard coordinate system is 35cm (calculated based on a back length of 52.5cm), and the user's forward-leaning sitting posture causes the coccyx to shift upward, taking b=-2cm, then the corrected longitudinal position is 35-2=33cm, thus enhancing coordinate stability under posture changes.

[0039] The acupoint target coordinates are integrated and optimized by combining three types of individual difference correction parameters, generating sample-related evaluation results including longitudinal correction values, lateral compensation values, and depth adjustment values. These evaluation results characterize the individual acupoint adaptation characteristics of users with different body types. The acupoint target coordinates are integrated and optimized by combining three types of correction parameters: skeletal morphology, soft tissue thickness, and dynamic posture. The longitudinal correction value, combining lumbar lordosis compensation (e.g., -2.5cm) and seated forward tilt compensation (e.g., -2cm), has a total longitudinal correction value of -4.5cm; the lateral compensation value considers scoliosis compensation (e.g., 1.5cm); and the depth adjustment value considers depth compensation for obese users (e.g., +6mm). The final evaluation result includes the above three types of values: (longitudinal correction value -4.5cm, lateral compensation value 1.5cm, depth adjustment value +6mm). This result accurately characterizes the individual acupoint adaptation characteristics of users with specific body types (e.g., pregnant women + obese + scoliosis).

[0040] S105 processes the evaluation results and parameter settings in accordance with the standards of traditional Chinese medicine bone measurement and international standards to generate acupoint location information.

[0041] In one implementation, the relevant assessment results and parameter settings of the samples are integrated based on the TCM bone measurement standards and international standards. A standard-correction dual-track verification model is used to map individual difference correction parameters and bone measurement conversion benchmarks to a standardized coordinate space. The individual difference correction parameters and bone measurement conversion benchmarks are mapped to the standardized coordinate space through this model: Individual difference correction parameters, based on the previous example, assume a user's correction parameters are a longitudinal correction value of -4.5cm, a lateral compensation value of 1.5cm, and a depth adjustment value of +6mm. Bone measurement conversion benchmark, based on back length... =52.5cm, 1 bone measurement inch= / 21=2.5cm (compliant with the 21-part rule of the national standard GB / T12346-2021). Based on the standard coordinates (vertical 35cm, horizontal 3.75cm), after superimposing the correction parameters, the coordinates initially mapped to the standardized space are (35-4.5=30.5cm, 3.75+1.5=5.25cm, standard depth+6mm).

[0042] A multi-parameter collaborative verification mechanism is used to output coordinate accuracy verification results through a structure with a shared basic standard layer and independent branch verification. The shared basic standard layer is based on the national standard 21-part division rule and the traditional Chinese medicine bone measurement definition (e.g., 14 cun longitudinally and 1.5 cun transversely for the Shenshu acupoint). Independent branch verification includes longitudinal coordinate calculation and transverse coordinate verification. Specifically, the longitudinal coordinate verification shows that after correction, a longitudinal measurement of 30.5cm corresponds to a bone measurement of 30.5 / 2.5 = 12.2 cun, with the deviation from the standard 14 cun within the allowable range (due to reasonable individual correction). The transverse coordinate verification shows that after correction, a transverse measurement of 5.25cm corresponds to a bone measurement of 5.25 / 2.5 = 2.1 cun, with the deviation from the standard 1.5 cun stemming from scoliosis compensation, consistent with individual adaptation logic.

[0043] Combining the semantic constraints of acupoint measurement using traditional Chinese medicine bone measurement methods, the correction parameters are regularized for rationality, and international standard compliance loss is applied to ensure that the coordinate transformation conforms to the GB / T12346-2021 standard, suppressing excessive deviations from the baseline by individual corrections. This generates acupoint location information containing the final three-dimensional coordinates of the acupoint, including the longitudinally corrected position, the laterally compensated offset, and the depth-adjusted size. The correction parameters are ensured not to deviate from the inherent acupoint measurement definition: the lateral 1.5 cun (approximately 1.5 inches) of the Shenshu acupoint is a fixed standard in traditional Chinese medicine; the lateral compensation value of 1.5 cm (corresponding to 0.6 bone measurement inches) is only for individual deviation compensation and does not change the baseline measurement, thus conforming to semantic constraints. Over-correction is suppressed through a compliance loss function: if the longitudinal bone measurement inch deviation after correction exceeds 10% (e.g., >1.4 inches), a correction callback is triggered. In this example, the deviation is 14-12.2=1.8 inches, which is a reasonable superposition correction due to pregnancy and forward-leaning posture; the compliance loss is deemed acceptable, and no callback is needed. Based on the above processing, the final three-dimensional coordinates of the acupoint are as follows: the vertically corrected position is 30.5cm (based on the standard 35cm plus -4.5cm correction); the horizontally compensated offset is 5.25cm (based on the standard 3.75cm plus +1.5cm compensation); and the depth adjusted size is the standard depth +6mm (calculated based on the abdominal circumference increase of obese users).

[0044] This application also discloses the generation of corresponding three-dimensional coordinates for acupoints on different body parts. Specifically, for the arm (taking the Quchi acupoint as an example), the positioning reference data is the length from the elbow crease to the wrist crease. =36cm (Traditional Chinese Medicine bone measurement standard: 12 equal parts, 1 bone measurement cun = 36 / 12 = 3cm). The dynamic proportional parameters are: Quchi acupoint is located at the lateral end of the elbow crease, i.e., 0 cun longitudinally (starting from the elbow crease) and 0 cun laterally (no lateral deviation). Assuming no significant differences in bone morphology or posture, the correction values ​​are all 0. The final three-dimensional coordinates are: longitudinally corrected position = elbow crease start point (0×3) = 0cm; laterally compensated offset = 0×3 = 0cm; depth adjusted size = standard depth (no soft tissue correction).

[0045] The thigh (taking Xuehai acupoint as an example) is located based on the length from the pubic symphysis to the medial femoral condyle. =54cm (Traditional Chinese Medicine bone measurement standard is 18 equal parts, 1 bone measurement cun = 54 / 18 = 3cm). The dynamic proportional parameters are: Xuehai acupoint is located 2 cun above the medial superior border of the patella, that is, 2 cun longitudinally (from the medial superior border of the patella upwards) and 0 cun laterally. Assuming no difference in bone morphology, the correction value is 0. The final three-dimensional coordinates are: longitudinally corrected position = 2 × 3 = 6cm (from the medial superior border of the patella upwards); laterally compensated offset = 0 × 3 = 0cm; depth adjusted size = standard depth.

[0046] The lower leg (taking the Sanyinjiao acupoint as an example) is located based on the distance from the medial condyle of the tibia to the tip of the medial malleolus. =45cm (Traditional Chinese Medicine bone measurement standard is 15 equal parts, 1 bone measurement cun = 45 / 15 = 3cm). The dynamic proportional parameter is that the Sanyinjiao acupoint is located 3 cun above the tip of the medial malleolus, i.e., 3 cun longitudinally and 0.5 cun laterally (lateral to the medial border of the tibia). Assuming mild obesity, the depth correction value is... =+3mm, the final three-dimensional coordinates are: longitudinally corrected position = 3×3=9cm (from the tip of the medial malleolus upward); transversely compensated offset = 0.5×3=1.5cm (lateral to the medial border of the tibia); depth adjusted size = standard depth + 3mm.

[0047] For the foot (taking Yongquan acupoint as an example), the positioning reference data is the length from the tip of the medial malleolus to the sole of the foot. =9cm (Traditional Chinese Medicine bone measurement standard is divided into 3 equal parts, 1 bone measurement cun = 9 / 3 = 3cm). The dynamic proportional parameters are: Yongquan acupoint is located at the anterior 1 / 3 of the sole, i.e., 1 cun longitudinally (from the front of the sole upwards) and 0 cun laterally (midline of the sole). There is no significant individual difference, and the correction value is 0. The final three-dimensional coordinates are: longitudinally corrected position = 1 × 3 = 3cm (from the front of the sole upwards); laterally compensated offset = 0 × 3 = 0cm; depth adjusted size = standard depth.

[0048] The abdominal acupoint (taking Zhongwan as an example) is located based on the distance from the xiphoid process to the pubic symphysis. =45cm (Traditional Chinese Medicine bone measurement standard is divided into 9 equal parts, 1 bone measurement cun = 45 / 9 = 5cm). The dynamic proportional parameters are: Zhongwan acupoint is located at the midpoint of the line connecting the xiphoid process and the umbilicus, i.e., 4 cun longitudinally (downward from the xiphoid process) and 0 cun laterally (anterior midline). The forward leaning posture causes the longitudinal position to shift upward, and the correction value b = -1cm. The final three-dimensional coordinates are: longitudinal position after correction = 4 × 5 - 1 = 19cm (downward from the xiphoid process); lateral offset after compensation = 0 × 5 = 0cm; depth adjustment dimension = standard depth (no obesity correction).

[0049] The head (taking Baihui acupoint as an example) is located based on the length from the glabella to the posterior hairline. =36cm (Traditional Chinese Medicine bone measurement standard is 12 equal parts, 1 bone measurement cun = 36 / 12 = 3cm). The dynamic proportional parameters are: Baihui acupoint is located on the midline of the top of the head, 5 cun above the anterior hairline, i.e., 5 cun longitudinally (from the anterior hairline upwards) and 0 cun laterally (midline). There are no differences in bone morphology, so the correction value is 0. The final three-dimensional coordinates are: longitudinally corrected position = 5 × 3 = 15cm (from the anterior hairline upwards); laterally compensated offset = 0 × 3 = 0cm; depth adjusted size = standard depth.

[0050] The above-mentioned body parts all follow the dynamic conversion rule of "bone measurement = length of part / total number of equal parts", combined with the inherent bone measurement parameters of acupoints and individual differences for correction, consistent with the logic of back coordinate generation, to ensure that the acupoint location of different parts not only conforms to the standard specifications, but also adapts to individual characteristics.

[0051] This application is based on the Traditional Chinese Medicine (TCM) bone measurement method and the national standard GB / T12346-2021, and achieves precise acupoint location through a dynamic conversion mechanism. By acquiring back positioning benchmark data (Dazhui acupoint, coccyx location, and back length), and combining it with the TCM bone measurement standard (21 equal divisions along the back longitudinal direction), a conversion rule between bone measurement and physical length is established. Through correlation analysis of dynamic proportional parameters (e.g., Shenshu acupoint longitudinal 14 / 21, transverse 1.5 cun) and benchmark data, parameter combination constraints are generated. After generating the acupoint target coordinates based on these constraints, corrections are made using individual difference parameters such as bone morphology, soft tissue thickness, and dynamic posture (e.g., lumbar lordosis compensation b=-2~-3cm for pregnant women, depth correction b_h=0.3×abdominal circumference increment for obese users). Finally, through standard-correction dual-track verification, a standard-compliant three-dimensional coordinate (including longitudinal correction position, transverse compensation offset, and depth adjustment value) is generated, enabling precise acupoint location for users of different body types, balancing standardization and individual adaptability.

[0052] like Figure 2As shown, an acupoint positioning device based on the bone measurement method includes: an acquisition module 201, used to acquire back positioning reference data and traditional Chinese medicine bone measurement standards. The back positioning reference data includes the positions of the Dazhui acupoint and the coccyx obtained by monitoring the current through motor scanning, and the calculated back length. The traditional Chinese medicine bone measurement standard refers to the 21-part division rule of the back longitudinal direction in the national standard; a processing module 202, used to combine the back positioning reference data and preset dynamic ratio parameters to simulate the acupoint coordinate mapping relationship of users with different body types. Based on the traditional Chinese medicine bone measurement method and real human back data, a conversion rule between bone measurement and physical length is established, and dynamic ratio constraints are generated; the dynamic ratio parameters, back reference data, sample ratio control, and parameter combination constraints are processed to generate acupoint target coordinates; the generated acupoint target coordinates are processed and combined with individual difference parameters including bone morphology, soft tissue thickness, and dynamic posture to generate sample-related evaluation results; the evaluation results and parameter settings are processed in combination with traditional Chinese medicine bone measurement standards and international standards to generate acupoint positioning information.

[0053] A computing device includes a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein when the computer program instructions are executed by the processor, the device is triggered to execute any acupoint location method based on bone fraction measurement.

[0054] The methods and / or embodiments in this application can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowchart. When the computer program is executed by a processing unit, it performs the functions defined in the methods of this application.

[0055] It should be noted that the computer-readable medium described in this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0056] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0057] It will be apparent to those skilled in the art that this application is not limited to the details of the exemplary embodiments described above, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be regarded as exemplary and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within this application.

Claims

1. A method for locating an acupoint based on a bone degree of fracture method, applied to intelligent hardware, characterized in that, include: The system acquires back positioning reference data and traditional Chinese medicine bone measurement standards. The back positioning reference data includes the locations of the Dazhui (GV14) acupoint and coccyx, obtained by monitoring the current through motor scanning, and the calculated back length. The traditional Chinese medicine bone measurement standards refer to the national standard rule of dividing the back longitudinally into 21 equal parts. The massage head moves down from the shoulder starting point, and the current is monitored in real time. When the massage head moves to the junction of the shoulder and neck, the spinous process of the 7th cervical vertebra will cause a sudden increase in motor load, and the current will rise to above 0.15A. If the first current peak detected is 0.18A, this position is determined to be the location of the Dazhui acupoint. When the massage head continues to move down to the junction of the lumbosacral region and contacts the sacral plateau, the current will increase a second time, with the current value being 0.2A. This position is determined to be the location of the coccyx. By combining back positioning reference data and preset dynamic proportional parameters, the acupoint coordinate mapping relationship of users with different body types is simulated. Based on the traditional Chinese medicine bone measurement method and real human back data, the conversion rules between bone measurement and physical length are established, and dynamic proportional constraints are generated. These include the location of the Dazhui acupoint when the first peak current is 0.18A detected by motor scanning, and the location of the coccyx when the current increases to 0.2A. The preset dynamic proportional parameters represent the parameter data of the proportion of the longitudinal measurement of acupoints. Taking the Shenshu acupoint as an example, its longitudinal measurement corresponds to 14 bone measurement, accounting for 14 / 21 of the total bone measurement of the back. The parameter data of the lateral measurement of acupoints is 1.5 bone measurement lateral to the Shenshu acupoint. Based on dynamic proportional parameters, back baseline data, sample proportion control, and parameter combination constraints, the target coordinates of acupoints are generated. The generated acupoint target coordinates are processed and combined with individual difference parameters including skeletal morphology, soft tissue thickness, and dynamic posture to generate sample-related evaluation results. This includes adapting the generated acupoint target coordinates based on individual difference parameters of dynamic posture, applying corrections to standard coordinates through a 3D correction model of skeletal morphology-soft tissue-posture, and constructing targeted compensation parameters for skeletal morphology differences; performing joint correction of soft tissue thickness and acupoint depth, calculating depth correction values ​​for the fat layer compression effect of obese users through abdominal circumference increment to achieve accurate compensation for acupoint depth; employing dynamic posture-coordinate offset adaptive regularization, defining position offset regularization terms for dynamic postures such as forward leaning while sitting to enhance coordinate stability under posture changes; and integrating and optimizing the acupoint target coordinates by combining three types of individual difference correction parameters to generate sample-related evaluation results including longitudinal correction values, lateral compensation values, and depth adjustment values. The evaluation results are used to characterize the individual adaptation characteristics of acupoints for users of different body types. The evaluation results and parameter settings are processed in accordance with the standards of traditional Chinese medicine bone measurement and international standards to generate acupoint location information.

2. The acupoint positioning method based on the bone dosimetry method according to claim 1, characterized in that, By combining back positioning reference data and preset dynamic proportional parameters, the acupoint coordinate mapping relationship of users with different body types is simulated. Based on the traditional Chinese medicine bone measurement method and real human back data, a conversion rule between bone measurement and physical length is established, and dynamic proportional constraints are generated, including: The correlation analysis results are filtered to generate a list of target simulation variables, which includes the back length parameter. Longitudinal bone measurement parameters, transverse lateral bone measurement parameters, and physical conversion coefficient parameters of bone measurement. / twenty one; The correlation analysis results and the target simulation variable list are processed to generate parameter combination constraints, including 21 equal-part hard constraints conforming to international standards, dynamic conversion synergistic constraints between bone measurement and physical length, and semantic constraints on the definition of acupoint measurement in traditional Chinese medicine bone measurement method.

3. The acupoint location method based on bone fracture measurement according to claim 2, characterized in that, Based on dynamic scaling parameters, back baseline data, sample ratio control, and parameter combination constraints, the target coordinates of acupoints are generated, including: Feature extraction processing was performed on dynamic proportional parameters, back baseline data, and sample proportion control to generate bone measurement conversion features, bony landmark localization features, and sample body shape distribution features. Among them, the dynamic proportional parameter features include target combination parameter data of longitudinal inch proportion and transverse lateral inch proportion conforming to the traditional Chinese medicine bone measurement method; the back baseline data features include the location data of Dazhui acupoint and coccyx determined by current feedback and the calculated back length. data; The process of generating acupoint target coordinates is processed by feature extraction, generating parameter combination simulation features, baseline data mapping features, and sample ratio control features. Among them, the parameter combination simulation features include the ratio parameter combination data of dynamic transformation of acupoint coordinates for different body types; the baseline data mapping features include the mapping relationship data between the location of bony landmarks and acupoint coordinates; and the sample ratio control features include the coordinate generation ratio allocation data for samples of different body types. Based on parameter combination constraints, this study analyzes and processes dynamic proportional parameter features, back baseline data features, sample ratio control features, parameter combination simulation features, baseline data mapping features, and sample ratio control features. When generating coordinates, the study verifies whether the parameter combination conforms to international standards and traditional Chinese medicine bone measurement specifications, and generates acupoint target coordinates. The acupoint target coordinates are used to characterize the physical location mapping features of acupoints for users of different body types, forming acupoint coordinate generation results that include dynamic proportional parameters, back baseline data, and sample ratio control.

4. The acupoint location method based on bone fracture measurement according to claim 1, characterized in that, The evaluation results and parameter settings are processed in accordance with the standards of traditional Chinese medicine bone measurement and international standards to generate acupoint location information, including: Based on the TCM bone measurement standard and international standards, the relevant assessment results and parameter settings of the sample are integrated and processed. The individual difference correction parameters and bone measurement conversion benchmark are mapped to the standardized coordinate space through the standard-correction dual-track verification model. By utilizing a multi-parameter collaborative verification mechanism, coordinate accuracy verification results are output through a structure that shares a basic standard layer and independently verifies branches. By combining the semantic constraints of acupoint measurement using the bone calibration method of traditional Chinese medicine, the correction parameters are regularized for rationality, and international standard compliance loss is applied to ensure that the coordinate transformation complies with the GB / T12346-2021 standard. This suppresses the deviation of individual corrections from the benchmark and generates acupoint positioning information containing the final three-dimensional coordinates of the acupoint. The final three-dimensional coordinates of the acupoint include the longitudinally corrected position, the laterally compensated offset, and the depth-adjusted size.

5. An acupoint positioning device based on bone fracture measurement, characterized in that, The apparatus for implementing the method of claim 1 includes: The acquisition module is used to acquire back positioning reference data and traditional Chinese medicine bone measurement standards. The back positioning reference data includes the location of the Dazhui acupoint and coccyx obtained by monitoring the current through motor scanning, and the calculated back length. The traditional Chinese medicine bone measurement standards refer to the national standard rule of dividing the back longitudinally into 21 equal parts. The processing module combines back positioning reference data and preset dynamic proportional parameters to simulate the acupoint coordinate mapping relationship of users with different body types. Based on the traditional Chinese medicine bone measurement method and real human back data, it establishes conversion rules between bone measurement and physical length, and generates dynamic proportional constraints. Based on the dynamic proportional parameters, back reference data, sample proportion control, and parameter combination constraints, it processes the data to generate acupoint target coordinates. The generated acupoint target coordinates are then processed, and combined with individual difference parameters including bone morphology, soft tissue thickness, and dynamic posture, to generate sample-related evaluation results. The evaluation results and parameter settings are processed in accordance with traditional Chinese medicine bone measurement standards and international standards to generate acupoint positioning information.

6. An electronic device, characterized in that, include: First processor; and memory for storing executable instructions of the first processor; The first processor is configured to execute the acupoint location method based on bone fraction method according to any one of claims 1 to 4 by executing the executable instructions.

7. A computing device, the device comprising a memory for storing computer program instructions and a processor for executing the computer program instructions, wherein, When the computer program instructions are executed by the processor, the device is triggered to execute the acupoint location method based on bone fraction method as described in any one of claims 1 to 4.

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