Health management method and system under adjustment of skeleton cylindrical structure

Abstract

The invention relates to the field of medical health, and provides a health management method and system under adjustment of a skeleton cylindrical structure, and the method comprises the steps: obtaining the basic body information and movement habits of a to-be-detected object, carrying out the activity detection of the skeleton cylindrical structure, obtaining the corresponding data, analyzing the skeleton change modes, and carrying out the recognition of the skeleton cylindrical structure based on the modes. The method comprises the following steps of: excavating a relation between a skeleton adjustment demand and a quantitative demand, constructing an adjustment system in combination with an individual body state, then adjusting a map, identifying key points, querying an adjustment range, defining a structure adjustment target, analyzing a feature cluster corresponding to the body adjustment state, extracting a health influence factor, and finally generating a personalized skeleton health management report. According to the invention, the adjustment accuracy of the skeleton cylindrical structure can be improved.

Description

Technical Field

[0001] The present invention relates to the field of medical health, and in particular to a health management method and system under the adjustment of a skeletal tubular structure. Background Art

[0002] In the field of human health management, the adjustment of the bone tubular structure is crucial and is widely used in many scenarios such as rehabilitation treatment and fitness training. Among the bone tubular structure adjustment methods, advanced technical means are of great significance for timely detection of bone problems and ensuring normal human activities and health.

[0003] At present, traditional bone tubular structure adjustment mainly relies on physical therapists' manual manipulation and relatively simple auxiliary devices. This method has gradually revealed its limitations in the face of ever-increasing health management requirements and increasingly complex human conditions. On the one hand, the accuracy of traditional adjustment methods is relatively low, it consumes a lot of manpower to operate and is prone to deviations, and it is difficult to ensure the consistency and stability of the adjustment results. On the other hand, for some special cases, such as complex bone problems, minor structural abnormalities, etc., conventional adjustment methods are difficult to meet, resulting in the inability to accurately achieve the adjustment of the bone tubular structure under different individual conditions. Therefore, a health management method and system for achieving bone tubular structure adjustment is needed to improve the accuracy of bone tubular structure adjustment. Summary of the invention

[0004] The present invention provides a health management method and system under the adjustment of the skeletal tubular structure, the main purpose of which is to improve the accuracy of the adjustment of the skeletal tubular structure.

[0005] Acquire basic body information and exercise habit information of the subject to be detected, perform activity detection on the bone tubular structure of the subject to be detected based on the basic body information and exercise habit information to obtain activity detection data, and analyze the corresponding bone change pattern of the user's body based on the activity detection data;

[0006] Mining the bone adjustment needs under the bone change pattern, analyzing the quantitative demand relationship corresponding to the bone adjustment needs, combining the quantitative demand relationship with the physical state of the object to be detected, and constructing an adjustment system for the bone tubular structure corresponding to the object to be detected;

[0007] Based on the adjustment system, determine the area to be adjusted corresponding to the skeletal tubular structure, identify the regional features corresponding to the area to be adjusted, analyze the adjustment improvement trend corresponding to the area to be adjusted based on the regional features, and construct a skeletal adjustment atlas of the skeletal tubular structure corresponding to the object to be detected based on the adjustment improvement trend;

[0008] Identify the cylindrical key points in the bone adjustment atlas, query the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, and determine the structural adjustment target of the bone cylindrical structure corresponding to the object to be detected based on the bone adjustment range;

[0009] Based on the structural adjustment target, the body adjustment state corresponding to the object to be detected is queried, the state feature cluster corresponding to the body adjustment state is analyzed, the health influencing factors in the state feature cluster are extracted, and based on the health influencing factors, a bone health management report of the bone tubular structure corresponding to the object to be detected is generated.

[0010] Optionally, the step of performing activity detection on the skeletal tubular structure of the subject to be detected based on the basic body information and the exercise habit information to obtain activity detection data includes:

[0011] Analyzing body proportion characteristics in the basic body information;

[0012] Based on the body proportion characteristics, determining preliminary morphological characteristics of the skeletal tubular structure corresponding to the object to be detected;

[0013] combining the preliminary morphological features with the types of exercise in the exercise habit information to evaluate the force tendency of the preliminary morphological features under different exercises;

[0014] Determining potential impact information corresponding to the skeletal tubular structure according to the force tendency;

[0015] Extracting key information factors from the potential impact information;

[0016] Based on the key information factors, the activity of the skeletal tubular structure of the object to be detected is detected to obtain activity detection data.

[0017] Optionally, mining the bone adjustment requirements under the bone change pattern includes:

[0018] Classifying and arranging the bone change patterns to obtain a classification pattern set;

[0019] Extracting typical features from the classification pattern set;

[0020] Analyze the feature adjustment direction corresponding to the typical features;

[0021] Conducting a feasibility assessment on the feature adjustment direction to obtain an assessment result;

[0022] Screening feasible demand points in the evaluation results;

[0023] Based on the feasible demand points, the bone adjustment requirements under the bone change pattern are explored.

[0024] Optionally, combining the quantitative demand relationship with the physical condition of the subject to be detected to construct an adjustment system for the skeletal tubular structure of the subject to be detected includes:

[0025] Performing detailed analysis on the quantitative demand relationship to obtain specific demand items;

[0026] Preliminarily screening the specific requirements in combination with the physical condition of the subject to be detected to obtain a preliminary screening result;

[0027] Analyze adjustment factors in preliminary screening results;

[0028] Performing quantitative evaluation on the adjustment factor to obtain adjustment evaluation data;

[0029] Screening the key adjustment items in the adjustment assessment data;

[0030] Based on the key adjustment items, an adjustment system for the skeletal tubular structure of the object to be detected is constructed.

[0031] Optionally, determining the area to be adjusted corresponding to the skeletal tubular structure based on the adjustment system includes:

[0032] Extracting key adjustment parameters in the adjustment system;

[0033] Classifying the key adjustment parameters to obtain a classified parameter set;

[0034] Extracting adjustment-directed factors from the classification parameter set;

[0035] Calculating the factor impact value corresponding to the adjustment direction factor;

[0036] Normalizing the influence values ​​of the factors to obtain standard factor values;

[0037] Based on the standard factor value, setting the importance threshold corresponding to the adjustment system;

[0038] Based on the importance threshold, marking the key factors in the skeletal cylindrical structure;

[0039] Based on the key adjustment factor, the area to be adjusted corresponding to the skeletal tubular structure is determined.

[0040] Optionally, the calculating the factor influence value corresponding to the adjustment direction factor includes:

[0041] The factor impact value corresponding to the adjustment pointing factor is calculated using the following formula:

[0042]

[0043] Wherein, IF represents the factor influence value corresponding to the adjustment direction factor, n represents the total number of factors of the adjustment direction factor, i represents the factor index of the adjustment direction factor, and W i represents the factor weight of the i-th adjustment-oriented factor, P i represents the actual measured value of the i-th adjustment pointing factor, E i represents the error value of the i-th adjustment pointing factor, L i Represents the limit value of the i-th adjustment direction factor.

[0044] Optionally, constructing a bone adjustment atlas corresponding to the bone tubular structure of the object to be detected based on the adjustment improvement trend includes:

[0045] Performing detailed analysis on the adjustment and improvement trend to obtain detailed trend data;

[0046] Matching the trend refinement data with the part features in the skeletal tubular structure to obtain part matching details;

[0047] Based on the part matching details, construct an adjustment strategy framework corresponding to the part features;

[0048] Querying the adjustment time node and the stage target node in the adjustment strategy framework;

[0049] Based on the adjustment time node and the stage target node, a bone adjustment atlas corresponding to the bone tubular structure of the object to be detected is constructed.

[0050] Optionally, querying the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key point includes:

[0051] Performing description analysis on the cylindrical key points to obtain a cylindrical analysis description;

[0052] Identify the key descriptive indicators corresponding to the barrel analysis description;

[0053] Calculating the indicator correlation value between the key description indicators;

[0054] Based on the indicator association value, analyzing the potential adjustment area corresponding to the bone adjustment map;

[0055] querying the bone adjustment factors in the potential adjustment area;

[0056] Based on the bone adjustment factor, the bone adjustment range corresponding to the bone adjustment atlas is queried.

[0057] Optionally, the calculating the indicator correlation value between the key description indicators includes:

[0058] The indicator correlation value between the key descriptive indicators is calculated using the following formula:

[0059]

[0060] Wherein, RL represents the indicator correlation value between the key description indicators, m represents the total number of cylindrical key points corresponding to the key description indicators, j represents the number index of cylindrical key points, Q represents the indicator number of the key description indicators, p represents the number index of the key description indicators, and X jp Represents the index characteristic value corresponding to the pth key description index of the jth cylindrical key point, represents the average value of the pth key descriptive indicator, σ p It represents the degree of dispersion of the pth key descriptive indicator.

[0061] Optionally, in order to solve the above problem, the present invention provides a health management system under the adjustment of the skeletal tubular structure, the system comprising:

[0062] A pattern analysis module, used to obtain basic body information and exercise habit information of the subject to be detected, perform activity detection on the bone tubular structure of the subject to be detected based on the basic body information and exercise habit information, obtain activity detection data, and analyze the corresponding bone change pattern of the user's body based on the activity detection data;

[0063] An adjustment system construction module is used to mine the bone adjustment needs under the bone change mode, analyze the quantitative demand relationship corresponding to the bone adjustment needs, combine the quantitative demand relationship with the physical state of the object to be detected, and construct an adjustment system for the bone tubular structure corresponding to the object to be detected;

[0064] A graph construction module is used to determine the area to be adjusted corresponding to the bone tubular structure based on the adjustment system, identify the regional features corresponding to the area to be adjusted, analyze the adjustment improvement trend corresponding to the area to be adjusted based on the regional features, and construct a bone adjustment graph corresponding to the bone tubular structure of the object to be detected based on the adjustment improvement trend;

[0065] A target determination module, used for identifying the cylindrical key points in the bone adjustment atlas, querying the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, and determining the structural adjustment target of the bone cylindrical structure corresponding to the object to be detected based on the bone adjustment range;

[0066] A report generation module is used to query the body adjustment state corresponding to the object to be detected based on the structural adjustment target, analyze the state feature cluster corresponding to the body adjustment state, extract the health influencing factors in the state feature cluster, and generate a bone health management report of the bone tubular structure corresponding to the object to be detected based on the health influencing factors.

[0067] First of all, the present invention can provide a basic framework for subsequent analysis by obtaining basic physical information and exercise habit information of the object to be detected. People of different age groups and genders have differences in bone structure and health needs, which is helpful to evaluate body load and potential risk factors, and can tailor more targeted bone structure adjustment plans and health management strategies for individuals to achieve personalized and precise health management. At the same time, the present invention can accurately determine the bone adjustment needs by mining the bone adjustment needs under the bone change pattern, and can tailor an adjustment plan suitable for each person's own situation, which is helpful to prevent potential bone diseases from further deteriorating, and can take corresponding measures in the early stages of the disease or when the problem is not yet serious to avoid small problems from developing into big problems, such as preventing scoliosis, joint wear and other problems from worsening by adjusting posture, strengthening muscle strength in specific parts, etc. The present invention determines the area to be adjusted corresponding to the bone tubular structure based on the adjustment system, which can improve the targetedness and effectiveness of the adjustment. By accurately determining the area to be adjusted, adjustment resources can be concentrated where they are most needed, avoiding unnecessary adjustment measures, thereby more efficiently improving the condition of the skeletal tubular structure. The present invention can identify the tubular key points in the skeletal adjustment atlas to clarify which parts are the most critical in the adjustment of the skeletal tubular structure, thereby concentrating resources and energy for targeted adjustments and improving the efficiency and effectiveness of the adjustment. Furthermore, based on the structural adjustment target, the present invention queries the body adjustment status corresponding to the object to be detected, and can timely understand the progress of the adjustment. By comparing the current body adjustment status with the structural adjustment target, it is possible to clearly see the results that have been achieved and the direction that still needs to be worked on, providing a basis for the optimization of the adjustment plan. Therefore, the health management method and system under the adjustment of the skeletal tubular structure proposed in the present invention can improve the accuracy of the adjustment of the skeletal tubular structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 A schematic flow chart of a health management method under adjustment of a skeletal tubular structure provided by an embodiment of the present invention;

[0069] Figure 2 A schematic diagram of a module of a health management system under adjustment of a skeletal tubular structure provided by an embodiment of the present invention.

[0070] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0071] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0072] The embodiment of the present application provides a health management method under the adjustment of the skeletal tubular structure. The execution subject of the health management method under the adjustment of the skeletal tubular structure includes but is not limited to at least one of the electronic devices such as the server and the terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the health management method under the adjustment of the skeletal tubular structure can be executed by software or hardware installed on the terminal device or the server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.

[0073] Reference Figure 1 FIG. 1 is a flow chart of a health management method under the adjustment of a skeletal tubular structure provided by an embodiment of the present invention. In this embodiment, the health management method under the adjustment of a skeletal tubular structure includes:

[0074] S1. Obtain basic body information and exercise habit information of the subject to be detected, perform activity detection on the skeletal tubular structure of the subject to be detected based on the basic body information and exercise habit information to obtain activity detection data, and analyze the corresponding bone change pattern of the user's body based on the activity detection data.

[0075] By acquiring basic physical information and exercise habit information of the subject to be tested, the present invention can provide a basic framework for subsequent analysis. People of different age groups and genders have differences in bone structure and health needs, which helps to assess body load and potential risk factors, and can tailor more targeted bone structure adjustment plans and health management strategies for individuals, thereby achieving personalized and precise health management.

[0076] Among them, the object to be detected refers to an individual who needs to adjust the skeletal tubular structure. The detection may be due to certain discomfort symptoms in the body or to prevent potential bone problems; the basic physical information refers to basic data that can reflect the physical condition of the object to be detected, including but not limited to age, gender, height, weight, body mass index (BMI), etc.; the exercise habit information refers to the exercise situation of the object to be detected in daily life, specifically including exercise type, such as running, swimming, yoga, etc.; exercise frequency, that is, the number of times exercise is performed per week; and exercise intensity, which can be divided into low intensity, medium intensity and high intensity, etc. Optionally, the acquisition of the basic physical information and exercise habit information of the object to be detected can be achieved through physical measurement equipment and questionnaire survey methods, such as: height and weight scales, body fat analyzers, etc., which can measure the basic physical information of the object to be detected, and use a detailed questionnaire to cover basic physical information (age, gender, height, weight, etc.) and exercise habit information (exercise type, frequency, intensity, etc.) to obtain the exercise habit information of the object to be detected.

[0077] Furthermore, the present invention performs activity detection on the skeletal tubular structure of the object to be detected based on the basic body information and exercise habit information, and obtains activity detection data, which can more accurately determine whether the skeletal tubular structure of a specific individual is within the normal range. The exercise habit information is also crucial. The activity detection result can reflect potential problems in a timely manner and clearly understand the actual activity ability of the skeletal tubular structure of the object to be detected, providing reliable data support for the subsequent analysis of the corresponding bone change pattern of the user's body.

[0078] Among them, the bone tubular structure refers to the tubular bone part in the human body, such as the long bones of the limbs (humerus, femur, tibia, ulna, radius, etc.) and other bones with a certain length and hollow structure; the mobility detection data refers to the data obtained by detecting the bone tubular structure and reflecting its range of motion, flexibility, stability and other aspects, including the joint motion angle, bone rotation amplitude, flexion and extension degree, etc.

[0079] As an embodiment of the present invention, the activity detection of the skeletal tubular structure of the object to be detected based on the basic body information and the exercise habit information to obtain activity detection data includes: analyzing the body proportion characteristics in the basic body information; determining the preliminary morphological characteristics of the skeletal tubular structure corresponding to the object to be detected based on the body proportion characteristics; combining the preliminary morphological characteristics with the exercise type in the exercise habit information to evaluate the force tendency of the preliminary morphological characteristics under different exercises; determining the potential influence information corresponding to the skeletal tubular structure according to the force tendency; extracting the key information factors in the potential influence information; based on the key information factors, performing activity detection on the skeletal tubular structure of the object to be detected to obtain activity detection data.

[0080] Among them, the body proportion characteristics refer to a series of characteristics that can reflect the body shape characteristics, such as the height, weight, limb length ratio, trunk and limb ratio of the object to be detected; the preliminary morphological characteristics refer to the approximate shape, length, curvature and other characteristics of the skeletal tubular structure of the object to be detected, which are preliminarily judged based on the body proportion characteristics; the exercise type refers to various physical activities performed by the object to be detected in daily life, such as running, swimming, weightlifting, yoga, etc.; the force tendency refers to the main pressure direction and location that the skeletal tubular structure may bear under different types of exercise; the potential influencing information refers to the factors that may affect the skeletal tubular structure obtained based on the force tendency analysis, including potential wear parts, vulnerable areas, possible deformation trends, etc.; the key information factor refers to the core factor extracted from the potential influencing information that has important guiding significance for subsequent activity detection, such as the degree of force in specific parts, the possibility of being damaged, etc.

[0081] Furthermore, the analysis of the body proportion features in the basic body information can be achieved through three-dimensional scanning technology, such as: using a three-dimensional human body scanner to obtain a full-body three-dimensional model of the object to be detected, and analyzing the proportions of various parts of the body through software; the determination of the preliminary morphological features of the corresponding bone tubular structure of the object to be detected can be achieved through a CT scanning method, such as: using computer tomography technology, a more detailed bone structure image can be obtained to determine the preliminary morphological features; the evaluation of the force tendency of the preliminary morphological features under different movements can be achieved through motion capture technology, such as: using a motion capture device to record the body movements of the object to be detected when performing different movements, combined with mechanical analysis Analysis to determine the force tendency; the determination of the potential influence information corresponding to the bone tubular structure can be achieved through data analysis tools, such as: using data analysis tools to analyze a large amount of bone health data to find out the potential influencing factors related to the force tendency; the extraction of key information factors in the potential influence information can be achieved through principal component analysis methods, such as: performing principal component analysis on the potential influence information to extract the main key information factors; the detection of the range of motion of the bone tubular structure of the object to be detected can be achieved through a joint angle measuring instrument, such as: using a joint angle measuring instrument to directly measure the activity angle of the joint of the object to be detected and evaluate the range of motion of the bone tubular structure.

[0082] The present invention analyzes the corresponding bone change pattern of the user's body based on the activity detection data, and can timely discover potential bone problems. It can accurately determine whether the range of bone movement is abnormally reduced or expanded, whether the flexibility of the joints is reduced, etc., thereby identifying possible disease hazards such as arthritis, osteoporosis, etc. at an early stage, providing a basis for timely treatment measures.

[0083] Among them, the bone change pattern refers to the change characteristics and trends of the user's bones in structure, morphology, function, etc. determined after analyzing the activity detection data. It may include the growth and development of bones, bone changes due to aging or disease (such as decreased bone density caused by osteoporosis), changes in bone morphology due to exercise habits or injuries (such as joint deformation, bone dislocation, etc.), and changes in the relative position relationship between bones in different parts, etc. Optionally, the analysis of the bone change pattern corresponding to the user's body can be achieved through cluster analysis, such as: according to the characteristics of the activity detection data, users with similar bone change patterns are classified into one category, and different bone change patterns are determined by analyzing the common characteristics in each category.

[0084] S2. Mining the bone adjustment needs under the bone change pattern, analyzing the quantitative demand relationship corresponding to the bone adjustment needs, combining the quantitative demand relationship with the physical condition of the object to be detected, and constructing an adjustment system for the bone tubular structure corresponding to the object to be detected.

[0085] The present invention can accurately determine the bone adjustment needs by exploring the bone adjustment needs under the bone change pattern, and can tailor an adjustment plan suitable for each person's own situation, which helps to prevent potential bone diseases from further deteriorating. It can also take corresponding measures in the early stages of the disease or when the problem is not yet serious to avoid small problems from developing into big problems, such as preventing scoliosis, joint wear and other problems from worsening by adjusting posture, strengthening muscle strength in specific parts, etc.

[0086] Among them, the bone adjustment needs refer to the adjustments and intervention measures required to improve bone conditions, which are ultimately determined based on the analysis and exploration of bone change patterns. They may include specific needs in rehabilitation treatment, sports training, lifestyle changes, etc.

[0087] As an embodiment of the present invention, mining the bone adjustment needs under the bone change pattern includes: classifying and organizing the bone change pattern to obtain a classification pattern set; extracting typical features in the classification pattern set; analyzing the feature adjustment directions corresponding to the typical features; performing a feasibility assessment on the feature adjustment directions to obtain an assessment result; screening feasible demand points in the assessment result; and mining the bone adjustment needs under the bone change pattern based on the feasible demand points.

[0088] Among them, the classification pattern set refers to the set of various pattern categories obtained after classifying different bone change patterns according to certain standards. For example, it can be classified according to factors such as the degree, location, and cause of bone changes; the typical characteristics refer to the representative characteristics of each category in the classification pattern set that can summarize the characteristics of bone changes in this category, such as the specific shape of bone deformation, the specific range of joint mobility, etc. in a specific category; the characteristic adjustment direction refers to the possible adjustment strategy or improvement direction proposed for the typical characteristics. For example, if the typical feature is limited joint mobility, then the characteristic adjustment direction may be to increase the range of joint mobility through specific rehabilitation training; the evaluation result refers to the conclusion obtained after the feasibility evaluation of the characteristic adjustment direction, including the feasibility degree of the adjustment direction, the difficulties and risks that may be faced, etc.; the feasible demand point refers to the specific demand point corresponding to the adjustment direction determined to be feasible in the evaluation result. For example, if a certain characteristic adjustment direction is to strengthen the strength training of a specific muscle group, then the feasible demand point may include the need for specific training equipment, professional guidance, etc.

[0089] Furthermore, the classification and sorting of the bone change patterns can be achieved through a decision tree algorithm, such as: using a decision tree algorithm, taking specific parameters of the bone (such as joint angle, bone density, etc.) as input, and outputting corresponding classification results; the extraction of typical features in the classification pattern set can be achieved through a feature selection tool, such as: using a feature selection algorithm, selecting representative typical features from a large number of bone change features; the analysis of the feature adjustment direction corresponding to the typical features can be achieved through a biomechanical simulation tool, such as: using a biomechanical simulation tool to analyze the influence of typical features on the mechanical properties of the bone, so as to determine the adjustment direction; the feasibility assessment of the feature adjustment direction can be achieved through a simulation experiment method, such as: through a simulation experiment, predicting the effect of the adjustment direction and possible problems, and assessing the feasibility; the screening of feasible demand points in the evaluation results can be achieved through a priority sorting tool, such as: prioritizing each demand point in the evaluation results, and selecting the high priority as the feasible demand point; the mining of the bone adjustment demand under the bone change pattern can be achieved through a demand analysis method, such as: conducting a comprehensive analysis of the bone change pattern, typical features, feasible demand points, etc., to determine the final bone adjustment demand.

[0090] By analyzing the quantitative demand relationship corresponding to the bone adjustment needs, the present invention can provide a scientific basis for formulating an accurate bone adjustment plan, and can accurately determine the required adjustment strength, time, frequency, etc., to avoid excessive or insufficient adjustment and improve the effectiveness and safety of the adjustment.

[0091] Among them, the quantitative demand relationship refers to the correspondence between various specific bone adjustment needs and quantifiable indicators during the bone adjustment process, including but not limited to the relationship between a specific degree of bone deformation and the required adjustment angle or force, the relationship between the degree of joint movement restriction and the value of the range of motion that needs to be increased, the relationship between the degree of muscle strength deficiency and the intensity and duration of strength training required, etc. Optionally, the analysis of the quantitative demand relationship corresponding to the bone adjustment needs can be achieved through a machine learning algorithm, such as: using a machine learning algorithm to train a large amount of bone adjustment data, allowing the algorithm to automatically learn the relationship between adjustment needs and quantitative indicators.

[0092] The present invention combines the quantitative demand relationship with the physical condition of the object to be detected to construct an adjustment system for the skeletal tubular structure corresponding to the object to be detected, thereby realizing personalized and precise adjustment. Different objects to be detected have unique physical conditions, including age, basic physical conditions, potential diseases and other factors, and by combining the quantitative demand relationship with them, the most suitable adjustment plan can be tailored for each individual, ensuring the pertinence and effectiveness of the adjustment, and avoiding the adverse consequences brought about by a one-size-fits-all adjustment method.

[0093] Among them, the physical state refers to the current physical condition of the subject to be tested, including but not limited to age, gender, basic physical indicators (such as height, weight, body fat percentage, etc.), whether suffering from diseases, body flexibility, muscle strength level, etc.; the adjustment system refers to the bone tubular structure of the subject to be tested, which is a complete bone adjustment system including adjustment methods, adjustment goals, adjustment schedule, use of auxiliary tools, etc., which is established after comprehensively considering the quantitative demand relationship and physical state.

[0094] As an embodiment of the present invention, the quantitative demand relationship is combined with the physical condition of the object to be detected to construct an adjustment system for the skeletal tubular structure corresponding to the object to be detected, including: performing a detailed analysis of the quantitative demand relationship to obtain specific demand items; performing a preliminary screening of the specific demand items in combination with the physical condition of the object to be detected to obtain preliminary screening results; analyzing the adjustment factors in the preliminary screening results; quantitatively evaluating the adjustment factors to obtain adjustment evaluation data; screening key adjustment items in the adjustment evaluation data; and constructing an adjustment system for the skeletal tubular structure corresponding to the object to be detected based on the key adjustment items.

[0095] Among them, the specific demand items refer to more specific bone adjustment demand contents further refined from the quantitative demand relationship, such as the angle range that needs to be adjusted for specific joints, the strength value that needs to be increased for muscles in specific parts, etc.; the preliminary screening results refer to the demand set that meets the actual physical condition of the object after preliminary screening of specific demand items in combination with the physical condition of the object to be tested; the adjustment factors refer to the various factors that affect the adjustment of the bone tubular structure in the preliminary screening results, such as specific exercise methods, frequency of rehabilitation training, use of auxiliary equipment, etc.; the adjustment evaluation data refers to the numerical results obtained after quantitative evaluation of the adjustment factors, and these numerical values ​​can reflect the importance and feasibility level of the adjustment factors; the key adjustment items refer to the adjustment factors with high importance and feasibility in the adjustment evaluation data, which are the core content of building the adjustment system.

[0096] Furthermore, the detailed analysis of the quantitative demand relationship can be achieved through a data mining algorithm, such as: using data mining algorithms such as association rule mining to find specific demand items related to the quantitative demand relationship from a large amount of bone adjustment case data; the preliminary screening of the specific demand items can be achieved through a body indicator matching method, such as: matching and screening with specific demand items according to the physical condition indicators of the object to be detected, such as age, body flexibility, muscle strength, etc.; the analysis of the adjustment factors in the preliminary screening results can be achieved through a factor analysis method, such as: factor analysis of the preliminary screening results to find out the main factors affecting bone adjustment as adjustment factors; the quantitative evaluation of the adjustment factors can be achieved through a hierarchical analysis method, such as: establishing a hierarchical model, comparing the adjustment factors in pairs, determining their relative importance and conducting quantitative evaluation; the screening of key adjustment items in the adjustment evaluation data can be achieved through a threshold screening method, such as: setting a certain quantitative evaluation threshold, and screening out adjustment factors above the threshold as key adjustment items; the construction of the adjustment system corresponding to the bone tubular structure of the object to be detected can be achieved through a system engineering method, such as: using a system engineering method to integrate key adjustment items and build a comprehensive adjustment system.

[0097] S3. Based on the adjustment system, determine the area to be adjusted corresponding to the skeletal tubular structure, identify the regional features corresponding to the area to be adjusted, analyze the adjustment improvement trend corresponding to the area to be adjusted based on the regional features, and construct a skeletal adjustment map corresponding to the skeletal tubular structure of the object to be detected based on the adjustment improvement trend.

[0098] The present invention determines the area to be adjusted corresponding to the skeletal tubular structure based on the adjustment system, which can improve the pertinence and effectiveness of the adjustment. By accurately determining the area to be adjusted, adjustment resources can be concentrated where they are most needed, avoiding unnecessary adjustment measures, and thus improving the condition of the skeletal tubular structure more efficiently.

[0099] The area to be adjusted refers to the area range in the bone tubular structure that needs specific adjustment and intervention determined based on key factors.

[0100] As an embodiment of the present invention, the method of determining the area to be adjusted corresponding to the skeletal tubular structure based on the adjustment system includes: extracting key adjustment parameters in the adjustment system; classifying the key adjustment parameters to obtain a classification parameter set; extracting adjustment direction factors in the classification parameter set; calculating factor influence values ​​corresponding to the adjustment direction factors; normalizing the factor influence values ​​to obtain standard factor values; setting an importance threshold corresponding to the adjustment system based on the standard factor value; marking key factors in the skeletal tubular structure based on the importance threshold; and determining the area to be adjusted corresponding to the skeletal tubular structure based on the key adjustment factors.

[0101] Among them, the key adjustment parameters refer to parameters that are extracted from the adjustment system of the skeletal tubular structure and play a key role in the adjustment process, such as the adjustment angle range of a specific joint, the strength enhancement target value of a specific muscle group, etc.; the classification parameter set refers to a parameter set obtained after classifying the key adjustment parameters according to certain standards, such as classification according to body parts, adjustment methods, etc.; the adjustment pointing factor refers to a factor in the classification parameter set that can clearly indicate the specific direction that needs to be adjusted in the skeletal tubular structure, such as the problem of insufficient mobility of a specific joint or the bone deformation of a certain part, etc.; the importance threshold refers to a critical value set according to the standard factor value for judging the importance of each factor in the adjustment system, and factors exceeding this threshold are considered to have higher importance; the key factor refers to a factor marked as important and requiring special attention and adjustment in the skeletal tubular structure, which can be a specific joint, bone part or muscle group, etc.

[0102] Furthermore, the extraction of key adjustment parameters in the adjustment system can be achieved through a text analysis method, such as: performing text analysis on the document description of the adjustment system, and extracting key values ​​and descriptions therein as key adjustment parameters; the parameter classification of the key adjustment parameters can be achieved through a clustering algorithm, such as: using a clustering algorithm to classify key adjustment parameters with similar characteristics into one category; the extraction of adjustment direction factors in the classification parameter set can be achieved through a factor analysis method, such as: performing factor analysis on the classification parameter set to find out the factors that can clearly indicate the adjustment direction; the calculation of the factor influence value corresponding to the adjustment direction factor can be achieved through the following calculation formula; the normalization of the factor influence value can be achieved through a normalization algorithm Implementation, such as: Min-Max normalization, Z-score standardization and other algorithms; the setting of the importance threshold corresponding to the adjustment system can be implemented by a data analysis tool, such as: by analyzing a large amount of bone adjustment data, determining the distribution of factor influence values, and thus setting the importance threshold; the marking of key factors in the bone tubular structure can be implemented by a sorting and screening tool, such as: sorting all adjustment-directed factors according to factor influence values, and selecting factors with high rankings to be marked as key factors; the determination of the area to be adjusted corresponding to the bone tubular structure can be implemented by an image analysis method, such as: analyzing the bone tubular structure through medical images (such as X-rays, CT, MRI, etc.), and determining the area to be adjusted in combination with key factors.

[0103] As an embodiment of the present invention, the calculating the factor influence value corresponding to the adjustment direction factor includes:

[0104] The factor impact value corresponding to the adjustment pointing factor is calculated using the following formula:

[0105]

[0106] Wherein, IF represents the factor influence value corresponding to the adjustment direction factor, n represents the total number of factors of the adjustment direction factor, i represents the factor index of the adjustment direction factor, and W i represents the factor weight of the i-th adjustment-oriented factor, P i represents the actual measured value of the i-th adjustment pointing factor, E i represents the error value of the i-th adjustment pointing factor, L i Represents the limit value of the i-th adjustment direction factor.

[0107] Furthermore, the present invention can clarify the specific characteristics of the area to be adjusted, such as bone morphology, muscle condition, joint mobility, etc., by identifying the regional characteristics corresponding to the area to be adjusted, and can design adjustment measures in a targeted manner to improve the effectiveness and targeting of the adjustment. Secondly, existing problems can be discovered in advance, such as fragile parts of bones, easily damaged joints, etc., so that corresponding preventive measures can be taken to reduce the risk of accidental injury during the adjustment process.

[0108] Among them, the regional characteristics refer to the specific properties and manifestations of the area to be adjusted in the bone tubular structure, which may include but are not limited to the following aspects: morphological characteristics of bones, such as bending degree, deformation direction, bone density, etc.; joint mobility characteristics, including range of motion, flexibility, stability, etc.; muscle state characteristics, such as muscle strength, tension, flexibility, etc.; conditions of surrounding tissues, such as ligament tightness, distribution of blood vessels and nerves, etc. Optionally, the identification of the regional characteristics corresponding to the area to be adjusted can be achieved through electronic measuring equipment, such as: electronic goniometer, muscle tension meter, etc., which can quickly and accurately measure specific parameters of the area to be adjusted, such as joint angle, muscle tension, etc.

[0109] Furthermore, based on the regional characteristics, the present invention analyzes the adjustment and improvement trends corresponding to the area to be adjusted, accurately grasps the adjustment and improvement trends reflected by the regional characteristics, and can plan the direction and focus of the adjustment in advance to make the adjustment plan more scientific and reasonable. Secondly, it can adjust the strategy in time according to possible changes, concentrate resources to solve key problems, and thus more efficiently achieve subsequent adjustment goals.

[0110] Among them, the adjustment and improvement trend refers to the prediction and judgment of the direction and degree of changes that may occur in the area after specific adjustment measures based on the regional characteristics of the area to be adjusted, which includes but is not limited to the trend of bone morphology gradually returning to normal, the trend of increased joint mobility, the trend of increased muscle strength, the trend of improved surrounding tissue function, etc. Optionally, the analysis of the adjustment and improvement trend corresponding to the area to be adjusted can be achieved through comparative analysis, such as: comparing the current regional characteristics of the area to be adjusted with similar cases that have been successfully adjusted, and analyzing possible adjustment and improvement trends.

[0111] Furthermore, based on the adjustment improvement trend, the present invention constructs a skeletal adjustment map of the skeletal tubular structure corresponding to the object to be detected, which can clearly show the expected changes of the skeletal tubular structure of the object to be detected at different stages, thereby formulating a more accurate and targeted adjustment plan based on individual conditions.

[0112] Among them, the bone adjustment atlas refers to a visual chart constructed after comprehensively considering factors such as adjustment improvement trends, site characteristics, adjustment strategy framework, adjustment time nodes and stage target nodes, and is used to guide the adjustment of the bone tubular structure of the object to be tested.

[0113] As an embodiment of the present invention, based on the adjustment improvement trend, constructing a bone adjustment map of the bone tubular structure corresponding to the object to be detected, includes: performing a detailed analysis on the adjustment improvement trend to obtain trend refinement data; matching the trend refinement data with part features in the bone tubular structure to obtain part matching details; based on the part matching details, constructing an adjustment strategy framework corresponding to the part features; querying the adjustment time nodes and stage target nodes in the adjustment strategy framework; based on the adjustment time nodes and the stage target nodes, constructing a bone adjustment map of the bone tubular structure corresponding to the object to be detected.

[0114] Among them, the trend refinement data refers to the data obtained after further decomposition and specific description of the adjustment and improvement trend, including information such as the specific improvement direction of different parts, the expected degree of change, etc.; the part characteristics refer to the specific attributes of different parts in the bone tubular structure, such as the range of motion of a joint, the shape and density of a specific bone, the strength and flexibility of the surrounding muscles, etc.; the part matching details refer to the specific information obtained after matching the trend refinement data with the characteristics of each part in the bone tubular structure, including the specific content of the adjustment and improvement trend corresponding to each part; the adjustment strategy framework refers to the overall structure of the adjustment strategy formulated for each part according to the part matching details, including planning of adjustment methods, adjustment intensity, auxiliary tools, etc.; the adjustment time node refers to a specific time point set in the bone adjustment process, which is used to arrange the implementation order and progress of different adjustment measures; the stage target node refers to the specific goals set at different stages of bone adjustment, which are used to measure the progress and effect of the adjustment.

[0115] Furthermore, the detailed analysis of the adjustment and improvement trend can be achieved through a factor decomposition method, such as: decomposing the adjustment and improvement trend according to different influencing factors, such as analyzing the improvement of bone morphology, increased joint mobility, and increased muscle strength respectively; matching the trend refinement data with the site characteristics in the bone tubular structure can be achieved through a feature matching method, such as: comparing and matching the specific improvement direction and degree in the trend refinement data with the characteristics of different parts of the bone tubular structure; constructing the adjustment strategy framework corresponding to the site characteristics can be achieved through an optimization algorithm, such as: optimizing different adjustment strategy combinations through a genetic algorithm with the goal of maximizing the adjustment effect, and constructing an adjustment strategy framework that best suits the characteristics of a specific site; querying the adjustment time nodes and stage target nodes in the adjustment strategy framework can be achieved through a simulation prediction tool, such as: using computer simulation software or models to predict the time nodes and target achievement during the adjustment process; constructing the bone adjustment map corresponding to the bone tubular structure of the object to be detected can be achieved through a visualization tool, such as: using drawing software or data visualization tools to display the adjustment strategy framework, time nodes, stage target nodes and other information in the form of a chart to construct a bone adjustment map.

[0116] S4. Identify the cylindrical key points in the bone adjustment atlas, query the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, and determine the structural adjustment target of the bone cylindrical structure corresponding to the object to be detected based on the bone adjustment range.

[0117] By identifying the cylindrical key points in the bone adjustment atlas, the present invention can clarify which parts are most critical in the adjustment of the bone cylindrical structure, thereby concentrating resources and energy to carry out targeted adjustments and improving the efficiency and effect of the adjustments.

[0118] Among them, the cylindrical key points refer to specific positions or areas with important adjustment significance and influence in the bone adjustment map of the bone cylindrical structure of the object to be detected. These key points can be parts of the bone structure that are prone to deformation, damage or have a greater impact on the overall function, such as joint joints, bone bending parts, muscle attachment points, etc. Optionally, the identification of the cylindrical key points in the bone adjustment map can be achieved through biomechanical measuring instruments, such as: force sensors, motion capture systems, etc., which can measure the mechanical characteristics of the bone cylindrical structure during movement, thereby determining the cylindrical key points.

[0119] Furthermore, the present invention queries the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, so that the adjustment plan can be more focused on the key parts, which helps to improve the accuracy of the adjustment, ensures that the adjustment measures act accurately on the parts that need to be improved, and improves the effect of the adjustment.

[0120] Among them, the bone adjustment range refers to the specific range that needs to be adjusted that is finally determined in the bone adjustment atlas, including the bone parts, joints, muscles, etc. involved, as well as the degree and direction of adjustment.

[0121] As an embodiment of the present invention, the method of querying the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points includes: performing a description analysis on the cylindrical key points to obtain a cylindrical analysis description; identifying key description indicators corresponding to the cylindrical analysis description; calculating indicator correlation values ​​between the key description indicators; based on the indicator correlation values, analyzing the potential adjustment area corresponding to the bone adjustment map; querying the bone adjustment factors in the potential adjustment area; and based on the bone adjustment factors, querying the bone adjustment range corresponding to the bone adjustment atlas.

[0122] Among them, the cylindrical analysis description refers to a detailed description and analysis of the cylindrical key points in the bone adjustment atlas, including the description of the position, shape, relationship with surrounding structures and other aspects of the cylindrical key points; the key description indicators refer to indicators extracted from the cylindrical analysis description that can reflect the characteristics and importance of the cylindrical key points, such as the degree of deformation of the key points, the stress condition, the impact on surrounding tissues, etc.; the indicator association value refers to the numerical value of the relationship between different key description indicators, which is used to measure the degree of association between each indicator, such as the correlation coefficient between two indicators, etc.; the potential adjustment area refers to the area that may need to be adjusted in the bone adjustment atlas obtained according to the analysis of the indicator association value. These areas have a certain correlation with the cylindrical key points and may affect the adjustment effect of the cylindrical key points; the bone adjustment factor refers to the specific factors that affect the bone adjustment in the potential adjustment area, such as bone morphological changes, muscle tension, joint mobility, etc. Furthermore, the description and analysis of the cylindrical key points can be achieved through data mining technology, such as: using data mining technology to mine feature descriptions related to the cylindrical key points from a large amount of bone adjustment data; the identification of key description indicators corresponding to the cylindrical analysis description can be achieved through a machine learning algorithm, such as: using classification or regression algorithms in machine learning to learn the cylindrical analysis description and automatically identify key description indicators; the calculation of indicator correlation values ​​between the key description indicators can be achieved through the following calculation formula; the analysis of the potential adjustment area corresponding to the bone adjustment map can be achieved through an image segmentation algorithm, such as: segmenting the image in the bone adjustment map The bone adjustment map is divided into different areas, and potential adjustment areas are determined according to the distribution of key descriptive indicators, such as areas with large bone deformation or areas with high muscle tension; the query of bone adjustment factors in the potential adjustment area can be achieved through instrument detection tools, such as: using X-ray machines or CT scanning equipment to detect the morphology and structure of bones to find out the bone adjustment factors; the query of the bone adjustment range corresponding to the bone adjustment map can be achieved through finite element analysis tools, such as: using finite element analysis tools to simulate different bone adjustment schemes, combined with optimization algorithms, to find the adjustment range that can maximize the improvement of the bone state, such as adjusting the joint angle and muscle strength to make the bone force more reasonable.

[0123] As an embodiment of the present invention, the calculating the indicator association value between the key description indicators includes:

[0124] The indicator correlation value between the key descriptive indicators is calculated using the following formula:

[0125]

[0126] Wherein, RL represents the indicator correlation value between the key description indicators, m represents the total number of cylindrical key points corresponding to the key description indicators, j represents the number index of cylindrical key points, Q represents the indicator number of the key description indicators, p represents the number index of the key description indicators, and X jp Represents the index characteristic value corresponding to the pth key description index of the jth cylindrical key point, represents the average value of the pth key descriptive indicator, σ p It represents the degree of dispersion of the pth key descriptive indicator.

[0127] The present invention determines the structural adjustment target of the bone tubular structure corresponding to the object to be detected based on the bone adjustment range, which can provide a clear direction for the adjustment process, help to rationally plan adjustment resources, and better allocate resources such as time, energy and funds to ensure that resources are used in the most critical places, thereby improving adjustment efficiency.

[0128] Among them, the structural adjustment target refers to the bone tubular structure of the object to be tested. It is the final adjustment target determined after comprehensive analysis of factors such as key adjustment parts, degree of structural deviation and specific adjustment needs, including specific targets such as bone morphological improvement and functional recovery.

[0129] As an embodiment of the present invention, determining the structural adjustment target of the skeletal tubular structure corresponding to the object to be detected based on the skeletal adjustment range includes: analyzing the key adjustment part corresponding to the skeletal adjustment range; extracting the detailed part parameters of the key adjustment part; evaluating the structural deviation degree corresponding to the detailed part parameters; associating the structural deviation degree with the key adjustment part to obtain part association information; extracting the specific adjustment requirements in the part association information; and determining the structural adjustment target of the skeletal tubular structure corresponding to the object to be detected based on the specific adjustment requirements.

[0130] Among them, the key adjustment part refers to the specific part within the bone adjustment range that has an important impact on the function and morphology of the bone tubular structure and needs to be adjusted; the detailed part parameters refer to the specific parameters that further describe the key adjustment part, including but not limited to the shape, angle, length, density of the bone, and the strength and flexibility of the surrounding muscles; the degree of structural deviation refers to the degree of difference between the current state and the normal state of the key adjustment part, which can be determined by analyzing and comparing the detailed part parameters; the part association information refers to the information obtained after associating the degree of structural deviation with the key adjustment part, including the specific manifestation of the deviation, the impact on the surrounding structure, etc.; the specific adjustment demand refers to the specific adjustment requirements for the key adjustment part determined according to the part association information, such as the need to increase the angle of the bone, enhance the strength of the muscle, etc.

[0131] Further, the analysis of the key adjustment parts corresponding to the bone adjustment range can be achieved through medical image analysis tools, such as processing and analyzing the images within the bone adjustment range to find the key adjustment parts; the extraction of detailed part parameters of the key adjustment parts can be achieved through medical measurement instruments, such as X-ray machines, CT scanners, bone densitometers, etc., to obtain detailed parameters of the key adjustment parts; the evaluation of the degree of structural deviation corresponding to the detailed part parameters can be achieved through simulation analysis tools, such as using biomechanical simulation tools to simulate and analyze the key adjustment parts to evaluate the degree of influence of structural deviation on the overall function; the association of the degree of structural deviation with the key adjustment parts can be achieved through data visualization technology, such as using data visualization technology to display the degree of structural deviation in the form of a chart or image on the key adjustment parts to intuitively present the association relationship; the extraction of specific adjustment requirements in the part association information can be achieved through a machine learning algorithm, such as using a classification or regression algorithm in machine learning to learn a large amount of part association information and adjustment requirement data to automatically extract specific adjustment requirements; the determination of the structural adjustment target corresponding to the bone tubular structure of the object to be detected can be achieved through a target setting method, such as formulating a clear structural adjustment target based on the specific adjustment requirements and the actual situation of the patient.

[0132] S5. Based on the structural adjustment target, query the body adjustment state corresponding to the object to be detected, analyze the state feature cluster corresponding to the body adjustment state, extract the health influencing factors in the state feature cluster, and generate a bone health management report of the bone tubular structure corresponding to the object to be detected based on the health influencing factors.

[0133] The present invention queries the body adjustment status corresponding to the object to be detected based on the structural adjustment target, and can timely understand the progress of the adjustment. By comparing the current body adjustment status with the structural adjustment target, it is possible to clearly see the results that have been achieved and the directions that still need to be worked on, providing a basis for optimizing the adjustment plan.

[0134] Among them, the body adjustment state refers to the current status of the body in various aspects of the object to be detected during the process of adjusting the skeletal tubular structure, including but not limited to changes in bone morphology, joint mobility, muscle strength and flexibility, body balance, reduction or aggravation of pain, improvement of daily activity ability, etc. Optionally, the query of the body adjustment state corresponding to the object to be detected can be achieved through medical measuring instruments, such as: using a joint angle measuring instrument, a muscle strength tester, a body composition analyzer, etc.

[0135] Furthermore, by analyzing the state feature cluster corresponding to the body adjustment state and extracting the health influencing factors in the state feature cluster, the present invention can more clearly understand how different aspects of physical performance are interrelated, thereby providing a more accurate direction for further analysis and adjustment, and helping to discover potential health risks in advance.

[0136] Among them, the state feature cluster refers to a feature set formed by grouping various features of the body adjustment state according to certain similarities or correlations. These features may include physiological indicators of the body, athletic ability performance, pain perception, psychological state and other aspects; the health influencing factors refer to those key factors in the state feature cluster that have a significant impact on the overall health status of the body. These factors may include specific physiological parameter changes, bad living habits, psychological stress indicators, etc. Optionally, the analysis of the state feature cluster corresponding to the body adjustment state can be achieved through a clustering analysis algorithm, such as: K-means, hierarchical clustering and other algorithms; the extraction of health influencing factors in the state feature cluster can be achieved through feature selection methods, such as: LASSO regression, through the penalty term to encourage the model to select features with significant influence, thereby extracting health influencing factors.

[0137] Furthermore, the present invention generates a bone health management report for the bone tubular structure corresponding to the object to be tested based on the health influencing factors, which can clearly show the individual's bone health status and the key factors affecting their health, so that the subject can have a deeper understanding of their own health, and can timely discover the changing trends of health status, adjust management strategies, and prevent potential bone health problems from deteriorating.

[0138] Among them, the bone health management report refers to the health status of the bone tubular structure of the object to be tested, and is a comprehensive report generated based on the analysis of health influencing factors in its body adjustment state. The report covers the bone structure characteristics of the object to be tested, current health status assessment, potential health risk prompts, personalized adjustment suggestions for health influencing factors, and subsequent monitoring plans. Optionally, the generation of the bone health management report corresponding to the bone tubular structure of the object to be tested can be achieved through data visualization tools, such as: Tableau, D3.js and other tools.

[0139] First of all, the present invention can provide a basic framework for subsequent analysis by obtaining basic physical information and exercise habit information of the object to be detected. People of different age groups and genders have differences in bone structure and health needs, which is helpful to evaluate body load and potential risk factors, and can tailor more targeted bone structure adjustment plans and health management strategies for individuals to achieve personalized and precise health management. At the same time, the present invention can accurately determine the bone adjustment needs by mining the bone adjustment needs under the bone change pattern, and can tailor an adjustment plan suitable for each person's own situation, which is helpful to prevent potential bone diseases from further deteriorating, and can take corresponding measures in the early stages of the disease or when the problem is not yet serious to avoid small problems from developing into big problems, such as preventing scoliosis, joint wear and other problems from worsening by adjusting posture, strengthening muscle strength in specific parts, etc. The present invention determines the area to be adjusted corresponding to the bone tubular structure based on the adjustment system, which can improve the targetedness and effectiveness of the adjustment. By accurately determining the area to be adjusted, adjustment resources can be concentrated where they are most needed, avoiding unnecessary adjustment measures, thereby more efficiently improving the condition of the skeletal tubular structure. The present invention can identify the tubular key points in the skeletal adjustment atlas to clarify which parts are the most critical in the adjustment of the skeletal tubular structure, thereby concentrating resources and energy for targeted adjustments and improving the efficiency and effectiveness of the adjustment. Furthermore, based on the structural adjustment target, the present invention queries the body adjustment status corresponding to the object to be detected, and can timely understand the progress of the adjustment. By comparing the current body adjustment status with the structural adjustment target, it is possible to clearly see the results that have been achieved and the direction that still needs to be worked on, providing a basis for the optimization of the adjustment plan. Therefore, the health management method and system under the adjustment of the skeletal tubular structure proposed in the present invention can improve the accuracy of the adjustment of the skeletal tubular structure.

[0140] like Figure 2 1 is a functional module diagram of a health management system under the adjustment of a skeletal tubular structure provided by an embodiment of the present invention.

[0141] The health management system 200 under the adjustment of the skeletal tubular structure described in the present invention can be installed in an electronic device. According to the functions to be implemented, the health management system 200 under the adjustment of the skeletal tubular structure can include a pattern analysis module 201, an adjustment system construction module 202, a map construction module 203, a target determination module 204 and a report generation module 205. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0142] In this embodiment, the functions of each module / unit are as follows:

[0143] The pattern analysis module 201 is used to obtain basic body information and exercise habit information of the subject to be detected, and based on the basic body information and exercise habit information, perform activity detection on the bone tubular structure of the subject to be detected to obtain activity detection data, and analyze the corresponding bone change pattern of the user's body based on the activity detection data;

[0144] An adjustment system construction module 202 is used to mine the bone adjustment requirements under the bone change mode, analyze the quantitative requirement relationship corresponding to the bone adjustment requirements, and combine the quantitative requirement relationship with the physical state of the subject to be detected to construct an adjustment system corresponding to the bone tubular structure of the subject to be detected;

[0145] A graph construction module 203 is used to determine the area to be adjusted corresponding to the bone tubular structure based on the adjustment system, identify the regional features corresponding to the area to be adjusted, analyze the adjustment improvement trend corresponding to the area to be adjusted based on the regional features, and construct a bone adjustment graph of the bone tubular structure corresponding to the object to be detected based on the adjustment improvement trend;

[0146] A target determination module 204 is used to identify the cylindrical key points in the bone adjustment atlas, query the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, and determine the structural adjustment target of the bone cylindrical structure corresponding to the object to be detected based on the bone adjustment range;

[0147] The report generation module 205 is used to query the body adjustment state corresponding to the object to be detected based on the structural adjustment target, analyze the state feature cluster corresponding to the body adjustment state, extract the health influencing factors in the state feature cluster, and generate a bone health management report of the bone tubular structure corresponding to the object to be detected based on the health influencing factors.

[0148] In detail, the modules described in the health management system 200 under the adjustment of the skeletal tubular structure described in the embodiment of the present invention adopt the same technical means as the health management method under the adjustment of the skeletal tubular structure described in the accompanying drawings when used, and can produce the same technical effects, which will not be repeated here.

[0149] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A health management method under the adjustment of the skeleton tube structure, characterized in that: The method comprises: Acquire basic body information and exercise habit information of the subject to be detected, perform activity detection on the bone tubular structure of the subject to be detected based on the basic body information and exercise habit information to obtain activity detection data, and analyze the corresponding bone change pattern of the user's body based on the activity detection data; Mining the bone adjustment needs under the bone change pattern, analyzing the quantitative demand relationship corresponding to the bone adjustment needs, combining the quantitative demand relationship with the physical state of the object to be detected, and constructing an adjustment system for the bone tubular structure corresponding to the object to be detected; Based on the adjustment system, determine the area to be adjusted corresponding to the skeletal tubular structure, identify the regional features corresponding to the area to be adjusted, analyze the adjustment improvement trend corresponding to the area to be adjusted based on the regional features, and construct a skeletal adjustment atlas of the skeletal tubular structure corresponding to the object to be detected based on the adjustment improvement trend; Identify the cylindrical key points in the bone adjustment atlas, query the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, and determine the structural adjustment target of the bone cylindrical structure corresponding to the object to be detected based on the bone adjustment range; Based on the structural adjustment target, the body adjustment state corresponding to the object to be detected is queried, the state feature cluster corresponding to the body adjustment state is analyzed, the health influencing factors in the state feature cluster are extracted, and based on the health influencing factors, a bone health management report of the bone tubular structure corresponding to the object to be detected is generated.

2. A health management method under the adjustment of the skeleton tubular structure as claimed in claim 1, characterized in that: The step of performing activity detection on the skeletal tubular structure of the subject to be detected based on the basic body information and the exercise habit information to obtain activity detection data includes: Analyzing body proportion characteristics in the basic body information; Based on the body proportion characteristics, determining preliminary morphological characteristics of the skeletal tubular structure corresponding to the object to be detected; combining the preliminary morphological features with the types of exercise in the exercise habit information to evaluate the force tendency of the preliminary morphological features under different exercises; Determining potential impact information corresponding to the skeletal tubular structure according to the force tendency; Extracting key information factors from the potential impact information; Based on the key information factors, the activity of the skeletal tubular structure of the object to be detected is detected to obtain activity detection data.

3. The health management method under the adjustment of the skeleton tubular structure according to claim 1, characterized in that: The mining of the bone adjustment requirements under the bone change pattern includes: Classifying and arranging the bone change patterns to obtain a classification pattern set; Extracting typical features from the classification pattern set; Analyze the feature adjustment direction corresponding to the typical features; Conducting a feasibility assessment on the feature adjustment direction to obtain an assessment result; Screening feasible demand points in the evaluation results; Based on the feasible demand points, the bone adjustment requirements under the bone change pattern are explored.

4. The health management method under the adjustment of the skeleton tubular structure according to claim 1, characterized in that: The step of combining the quantitative demand relationship with the physical condition of the subject to be detected to construct an adjustment system corresponding to the skeletal tubular structure of the subject to be detected includes: Performing detailed analysis on the quantitative demand relationship to obtain specific demand items; Preliminarily screening the specific requirements in combination with the physical condition of the subject to be detected to obtain a preliminary screening result; Analyze adjustment factors in preliminary screening results; Performing quantitative evaluation on the adjustment factor to obtain adjustment evaluation data; Screening the key adjustment items in the adjustment assessment data; Based on the key adjustment items, an adjustment system for the skeletal tubular structure of the object to be detected is constructed.

5. The health management method under the adjustment of the skeleton tubular structure according to claim 1, characterized in that: The step of determining the area to be adjusted corresponding to the skeletal tubular structure based on the adjustment system includes: Extracting key adjustment parameters in the adjustment system; Classifying the key adjustment parameters to obtain a classified parameter set; Extracting adjustment-directed factors from the classification parameter set; Calculating the factor impact value corresponding to the adjustment direction factor; Normalizing the influence values ​​of the factors to obtain standard factor values; Based on the standard factor value, setting the importance threshold corresponding to the adjustment system; Based on the importance threshold, marking the key factors in the skeletal cylindrical structure; Based on the key adjustment factor, the area to be adjusted corresponding to the skeletal tubular structure is determined.

6. A health management method under the adjustment of the skeleton tubular structure as claimed in claim 5, characterized in that: The calculating the factor influence value corresponding to the adjustment direction factor includes: The factor impact value corresponding to the adjustment pointing factor is calculated using the following formula: Wherein, IF represents the factor influence value corresponding to the adjustment direction factor, n represents the total number of factors of the adjustment direction factor, i represents the factor index of the adjustment direction factor, and W i represents the factor weight of the i-th adjustment-oriented factor, P i represents the actual measured value of the i-th adjustment pointing factor, E i represents the error value of the i-th adjustment pointing factor, L i Represents the limit value of the i-th adjustment direction factor.

7. The health management method under the adjustment of the skeleton tubular structure according to claim 1, characterized in that: The step of constructing a bone adjustment atlas corresponding to the bone tubular structure of the object to be detected based on the adjustment improvement trend includes: Performing detailed analysis on the adjustment and improvement trend to obtain detailed trend data; Matching the trend refinement data with the part features in the skeletal tubular structure to obtain part matching details; Based on the part matching details, construct an adjustment strategy framework corresponding to the part features; Querying the adjustment time node and the stage target node in the adjustment strategy framework; Based on the adjustment time node and the stage target node, a bone adjustment atlas corresponding to the bone tubular structure of the object to be detected is constructed.

8. The health management method under the adjustment of the skeleton tubular structure according to claim 1, characterized in that: The querying of the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key point includes: Performing description analysis on the cylindrical key points to obtain a cylindrical analysis description; Identify the key descriptive indicators corresponding to the barrel analysis description; Calculating the indicator correlation value between the key description indicators; Based on the indicator association value, analyzing the potential adjustment area corresponding to the bone adjustment map; querying the bone adjustment factors in the potential adjustment area; Based on the bone adjustment factor, the bone adjustment range corresponding to the bone adjustment atlas is queried.

9. A health management method under the adjustment of the skeleton tubular structure as claimed in claim 8, characterized in that: The calculating the indicator correlation value between the key description indicators includes: The indicator correlation value between the key descriptive indicators is calculated using the following formula: Wherein, RL represents the indicator correlation value between the key description indicators, m represents the total number of cylindrical key points corresponding to the key description indicators, j represents the number index of cylindrical key points, Q represents the indicator number of the key description indicators, p represents the number index of the key description indicators, and X jp Represents the index characteristic value corresponding to the pth key description index of the jth cylindrical key point, represents the average value of the pth key descriptive indicator, σ p It represents the degree of dispersion of the pth key descriptive indicator.

10. A health management system under the adjustment of the skeleton tube structure, characterized in that: A system for performing a health management method under adjustment of a skeletal tubular structure as described in any one of claims 1 to 9, the system comprising: A pattern analysis module, used to obtain basic body information and exercise habit information of the subject to be detected, perform activity detection on the bone tubular structure of the subject to be detected based on the basic body information and exercise habit information, obtain activity detection data, and analyze the corresponding bone change pattern of the user's body based on the activity detection data; An adjustment system construction module is used to mine the bone adjustment needs under the bone change mode, analyze the quantitative demand relationship corresponding to the bone adjustment needs, combine the quantitative demand relationship with the physical state of the object to be detected, and construct an adjustment system for the bone tubular structure corresponding to the object to be detected; A graph construction module is used to determine the area to be adjusted corresponding to the bone tubular structure based on the adjustment system, identify the regional features corresponding to the area to be adjusted, analyze the adjustment improvement trend corresponding to the area to be adjusted based on the regional features, and construct a bone adjustment graph corresponding to the bone tubular structure of the object to be detected based on the adjustment improvement trend; A target determination module, used for identifying the cylindrical key points in the bone adjustment atlas, querying the bone adjustment range corresponding to the bone adjustment atlas based on the cylindrical key points, and determining the structural adjustment target of the bone cylindrical structure corresponding to the object to be detected based on the bone adjustment range; A report generation module is used to query the body adjustment state corresponding to the object to be detected based on the structural adjustment target, analyze the state feature cluster corresponding to the body adjustment state, extract the health influencing factors in the state feature cluster, and generate a bone health management report of the bone tubular structure corresponding to the object to be detected based on the health influencing factors.

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