Method for evaluating and analyzing musculoskeletal movement injuries by 3D dynamic joint range of motion test and posture abnormality by static posture test

Abstract

The present invention relates to a method for evaluating and analyzing musculoskeletal movement damage and posture abnormality due to static posture by a three-dimensional dynamic joint range of motion test according to an embodiment of the present invention, and the method for evaluating and analyzing musculoskeletal movement damage and posture abnormality due to a static posture test according to an embodiment of the present invention includes the steps of: selecting at least one test type for an object to be examined through a test type selection unit provided by a server; photographing the action and motion of the object through a multi-viewpoint measurement device and transmitting the photographed information to the server; converting object information including information on joints, muscles, and posture of the object into three dimensions (X, Y, Z axes) in an object calculation unit based on the test type selected in the test type selection unit and the information collected by the multi-viewpoint measurement device; and determining the presence or absence of LOM or compensation movement for the object in a data analysis unit to determine the presence or absence of a syndrome; and, based on the information calculated by the data analysis unit, the step of calculating test results by a test result calculation unit; and a step of recommending rehabilitation exercises or preventive exercises via a smart exercise coaching unit based on the test results calculated by the data analysis unit, wherein the data analysis unit further includes a movement injury detection unit that detects imbalance in the static posture of one or more joints relative to the object and in the estimated individual muscles, and a posture abnormality detection unit that detects imbalance in the static posture of one or more joints, and the movement injury detection unit further includes a LOM determination unit that determines whether the object has LOM at a joint by using the joint points of the object estimated by the object calculation unit, and a compensatory movement determination unit that determines whether the object has compensatory movement at a joint by using the joint points of the object estimated by the object calculation unit.

Description

Detailed Description of the Invention

[0001] [Technical field] The present invention relates to a method for evaluating and analyzing motor injury and static posture abnormalities by a three-dimensional dynamic joint range of motion test, and more particularly to a method for evaluating and analyzing motor injury and static posture abnormalities by a three-dimensional dynamic joint range of motion test, for calculating compensatory movements (compensatory actions) and joint range of motion restrictions by analyzing the positions or changes of the X, Y, and Z axes of each joint during a motor injury test or posture test.

[0002] [Background technology] Due to changes in work and lifestyles, such as performing repetitive tasks and operating smart devices for long periods of time, the incidence of musculoskeletal disorders and the demand for healthcare services are increasing day by day.

[0003] The basis for this is that in South Korea, as of 2019, 17.61 million people, equivalent to one in three people, received treatment for musculoskeletal disorders, a 7.9% increase from 2009, and musculoskeletal-related medical expenditures have also increased, accounting for 11% of total medical expenditures. It is also clear from a press release from the Health Insurance Review and Assessment Service that, among musculoskeletal disorders, there has been a sharp increase in the number of patients with cervical pain, especially in muscles related to the use of computers and smart devices, over the past 10 years.

[0004] Lack of awareness of correct movement and system (solution) components also play a role in this. As rehabilitation medicine and preventive medicine develop, in the past, the focus was on muscle strengthening exercises and aerobic exercises, with an emphasis on quantitative measurement evaluation of muscular dysfunction and body composition (body fat), but now, along with quantitative measurement evaluation, the focus is moving to qualitative measurement evaluation of movement dysfunction that integrates the musculoskeletal and nervous systems, and exercise and rehabilitation are the focus, and US experts are revealing how to analyze movement using the latest technology and machines to solve pain and reduce the risk of injury (Maury Hayashida et al 2015).

[0005] Another issue that needs to be resolved is the current problem with musculoskeletal health care examinations and rehabilitation exercise prescriptions, which are carried out subjectively and qualitatively through visual measurement and prompting based on the expertise of individual musculoskeletal health care professionals. Although health care services such as physical / rehabilitation treatments or exercise prescriptions are provided through qualitative examinations based on the personal experience and expertise of individual professionals, there are many cases where the data from experts is unreliable due to subjective and qualitative evaluations, making it essential to collect quantitative movement (posture and movement) data that can guarantee the reliability of measurements.

[0006] By quantitatively measuring three-dimensional musculoskeletal movement according to a scientifically based standardized protocol, we aim to lay the foundation for the development of new data-based services in the future. Existing musculoskeletal examination services are flat (two-dimensional) posture evaluations, such as from the front or side, and the reliability and evaluation items are limited, so they are only used to supplement existing visual measurement and promotion examinations. It is an urgent task to lay the foundation for developing new data-based services in the field of musculoskeletal healthcare by quantitatively measuring three-dimensional musculoskeletal movement and accumulating musculoskeletal movement data.

[0007] This project aims to meet the rapidly growing demand for musculoskeletal healthcare services by digitizing examinations and exercise coaching based on quantitative data on musculoskeletal movements and supporting the decision-making of specialists during musculoskeletal healthcare services. The needs of service providers in the field of musculoskeletal healthcare are to confirm the results of musculoskeletal examinations, which were previously qualitative, with quantitative data and provide healthcare services systematically based on the data. In order to support the direct examination process of medical specialists, the examination process and method must be standardized to ensure the reliability of the measured musculoskeletal posture and movement data, helping to accurately understand the patient's condition from the obtained data and supporting decision-making regarding healthcare services.

[0008] We aim to develop a musculoskeletal examination and coaching system based on quantitative measurement technology for three-dimensional musculoskeletal movement, and a musculoskeletal disease differentiation support system that presents predicted disease groups from disease-related movement characteristics.By developing a system that measures musculoskeletal movement in three dimensions based on multi-view images taken simultaneously from various directions while the subject performs a specified posture or movement, we will analyze the movement characteristics that are highly related to disease differentiation in each posture or movement, present them as data, and present predicted disease groups estimated through clinical and scientific disease differentiation guidelines, thereby supporting the service provision process of musculoskeletal health care professionals.

[0009] In the long term, we aim to lay the foundation for developing data-based musculoskeletal healthcare services. By realizing standardized musculoskeletal examinations, we can objectively grasp the state of the patient's musculoskeletal system and convert quantitative data on musculoskeletal movements and information on predicted diseases from movements into big data. As in the field of general health examinations, we can lay the foundation for expanding into various fields based on data in the field of musculoskeletal healthcare in the future and creating new service opportunities.

[0010] Therefore, research is required into systems and methods that can estimate the presence or absence of a syndrome based on quantitative data on the musculoskeletal condition while improving the recognition rate to solve the above-mentioned problems.

[0011] Summary of the Invention [Problem to be solved by the invention] The object of the present invention is to provide a method for evaluating and analyzing musculoskeletal motor injuries by a 3D dynamic joint range of motion test and posture abnormality by a static posture test, in order to calculate compensatory movement (compensatory action) and joint range of motion limit (LOM) by analyzing the position or change of the X, Y, and Z axes of each joint during a motor injury test or posture test.

[0012] [Means for solving the problems] In order to solve the above problems, According to an embodiment of the present invention, a method for evaluating and analyzing musculoskeletal movement injuries by a 3D dynamic joint range of motion test and posture abnormalities by a static posture test is provided, (a) an object selecting at least one test type to be tested by the object through a test type selection unit provided by a server; (b) capturing the action and motion of the object through a multi-viewpoint measuring device and transmitting the captured information to the server; (c) based on the examination type selected by the examination type selection unit and the information collected by the multi-viewpoint measurement device, the object calculation unit converts the object information including information on the joints, muscles, and posture of the object into three dimensions (X, Y, Z axes), and the data analysis unit determines the presence or absence of LOM (Limitation of Motion) or compensation movement for the object to determine the presence or absence of a syndrome; (d) calculating a test result by a test result calculation unit based on the information calculated by the data analysis unit; (e) recommending rehabilitation exercise or preventive exercise through a smart exercise coaching unit based on the test results calculated by the data analysis unit; The data analysis unit includes a movement injury detection unit that detects a static posture of one or more joints relative to the object and an imbalance of an estimated individual muscle; a posture abnormality detection unit for detecting imbalance with respect to a static posture of one or more joints; The movement injury detection unit includes: a LOM determination unit that determines whether or not the object has a LOM at a joint by using the joint points of the object estimated by the object calculation unit; The object may further include a compensation movement determination unit that determines whether or not the object has a compensation movement at a joint by using the joint points of the object estimated by the object calculation unit.

[0013] In addition, in the method for evaluating and analyzing musculoskeletal motor injuries through a 3D dynamic joint range of motion test and posture abnormalities through a static posture test according to one embodiment of the present invention, the step (a) may further include a step of selecting at least one of a posture test or a motor injury test.

[0014] In addition, in the method for evaluating and analyzing musculoskeletal movement injury by a 3D dynamic joint range of motion test and posture abnormality by a static posture test according to an embodiment of the present invention, the measuring device is provided with a maximum of 1 to a maximum of 8 measuring means capable of measuring a point where the object is located, The measuring means can be configured by selecting at least one of a camera, a sensor, an X-ray device, and a radiation device.

[0015] In addition, in the method for evaluating and analyzing musculoskeletal movement injuries through 3D dynamic joint range of motion testing and posture abnormalities through static posture testing according to one embodiment of the present invention, the server may further include a database in which measurement information, test result information, and algorithm information of the object are already stored and which constructs big data based on the already stored data.

[0016] In addition, in the method for evaluating and analyzing musculoskeletal movement injuries by a three-dimensional dynamic joint range of motion test and posture abnormalities by a static posture test according to an embodiment of the present invention, the step (c) includes: (c1) estimating major joints of the object's human body via an object calculation unit, and reconstructing the major joints of the human body in three dimensions (X, Y, Z axes); (c2) detecting posture abnormalities due to static postures of multiple joints or detecting the presence or absence of movement damage to the calculated individual muscles; (c3) calculating an inspection result of the object by an inspection result calculation unit based on the information detected by the data analysis unit.

[0017] In addition, in a method for evaluating and analyzing musculoskeletal motor injuries through 3D dynamic joint range of motion testing and posture abnormalities through static posture testing according to one embodiment of the present invention, the motor injury detection unit can determine the presence or absence of LOM or compensatory movement for the object through a disease syndrome algorithm already stored in the database.

[0018] In addition, in a method for evaluating and analyzing musculoskeletal movement injuries through 3D dynamic joint range of motion testing and posture abnormality evaluation and analysis through static posture testing according to one embodiment of the present invention, the posture abnormality detection unit may determine the presence or absence of posture abnormality for the object through a posture imbalance algorithm already stored in the database.

[0019] In addition, in the method for evaluating and analyzing musculoskeletal movement injuries by a three-dimensional dynamic joint range of motion test and posture abnormalities by a static posture test according to an embodiment of the present invention, the step (d) includes: The method further includes a step of outputting a comprehensive and detailed inspection result in the inspection result calculation unit based on the information calculated through the step (c), The comprehensive test result may include test selection type, 3D posture (joint reconstruction), posture type, posture improvement level, movement type, motor injury improvement level, average score, and total score.

[0020] In addition, in a method for evaluating and analyzing musculoskeletal motor injuries through a 3D dynamic joint range of motion test and posture abnormality through a static posture test according to an embodiment of the present invention, the motor injury detection unit determines that there is no LOM and no compensatory movement in the LOM determination unit and the compensatory movement determination unit, and determines that the abnormality is normal. If either the LOM determination unit or the compensatory movement determination unit determines that there is LOM or compensatory movement, it can be determined that there is a syndrome for that joint.

[0021] In addition, in a method for evaluating and analyzing musculoskeletal motor injuries by a 3D dynamic joint range of motion test and posture abnormality by a static posture test according to an embodiment of the present invention, if the LOM determination unit determines that there is no LOM for a joint and the compensatory movement determination unit determines that there is a compensatory movement, The degree of compensatory movement determined by the compensatory movement determination unit is compared with data already stored in the database to calculate the degree of compensatory movement, and the symptoms of the disease and the degree of the symptoms (whether the symptoms are severe, medium, or mild) can be determined based on the calculated degree value of the compensatory movement.

[0022] Such a solution will become more apparent from the following detailed description of the invention taken in conjunction with the accompanying drawings.

[0023] Prior to this, the terms and words used in this specification and claims should not be interpreted in their ordinary and dictionary sense, but should be interpreted in a meaning and concept that corresponds to the technical idea of ​​the present invention, based on the principle that an inventor can appropriately define the concept of a term in order to explain his / her invention in the best possible manner.

[0024] [Effects of the Invention] According to an embodiment of the present invention, the accuracy and reliability of posture inspection or movement injury inspection of an object relative to a body can be improved.

[0025] In addition, according to one embodiment of the present invention, rehabilitation exercises and preventive exercises suitable for each individual are recommended depending on the presence or absence of posture abnormalities, LOM, and compensatory movements, and guide images for the recommended rehabilitation exercises and preventive exercises are provided together, thereby increasing the participation rate and efficiency of rehabilitation exercises and preventive exercises.

[0026] BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic diagram showing the relationship between a measurement device and a server of a posture or movement injury inspection system according to one embodiment of the present invention.

[0027] FIG. 2 is a block diagram illustrating components of a server of a posture or movement injury screening system according to one embodiment of the present invention.

[0028] FIG. 3 is a block diagram illustrating components of an object calculator of a posture or movement injury screening system according to one embodiment of the present invention.

[0029] 4 to 6 are exemplary diagrams showing comprehensive inspection results in the data analysis unit of the posture or movement injury inspection system and method according to one embodiment of the present invention.

[0030] FIG. 7 is a flowchart showing a method for evaluating and analyzing musculoskeletal movement injuries through a three-dimensional dynamic joint range of motion test and posture abnormalities through a static posture test according to one embodiment of the present invention.

[0031] FIG. 8 is a flowchart showing an object calculation method of a method for evaluating and analyzing musculoskeletal movement damage through a 3D dynamic joint range of motion test and posture abnormality through a static posture test according to one embodiment of the present invention.

[0032] [Mode for carrying out the invention] The specific aspects and technical features of the present invention will be more clearly understood from the following detailed description and one embodiment in conjunction with the accompanying drawings. In this specification, when referring to the components in each drawing, it should be noted that the same components are given the same reference numerals as much as possible, even if they are displayed in different drawings. In addition, when describing one embodiment of the present invention, if it is determined that a detailed description of related known configurations or functions may obscure the gist of the present invention, the detailed description will be omitted.

[0033] In addition, in describing components of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are merely for distinguishing the components from other components, and do not limit the nature, order, or sequence of the components. When a component is described as being "coupled," "coupled," or "connected" to another component, it should be understood that the component may be directly coupled or connected to the other component, but another component may be "coupled," "coupled," or "connected" between the components.

[0034] Hereinafter, an embodiment of the present invention will be described in detail with reference to the accompanying drawings.

[0035] As shown in Figures 1 and 2, a posture or movement injury inspection system according to one embodiment of the present invention can be configured to include a measuring device 10 that measures physical information of an object from multiple viewpoints and collects information about the object (O) in three dimensions, and a server 20 that determines whether or not there is a posture or movement injury to the object (O) based on the information measured by the measuring device 10.

[0036] The measuring device 10 may be equipped with a minimum of one and a maximum of eight measuring means 11 capable of measuring in all directions corresponding to 360 degrees based on the point where the object (O) is located. In the present invention, five measuring means 11 may be installed at points corresponding to the front, rear, left and right sides of the object, but may be applied in various ways depending on the shooting environment or situation.

[0037] Such measuring means 11 can be configured by selecting any one of a camera, a sensor, an X-ray device, and a radiation device, and in the present invention, can be configured to include a camera and a sensor.

[0038] The server 20 can select at least one of a posture test or an exercise injury test (or a muscle injury test or a sports injury test) for the object based on the information provided by the measuring device 10, and calculate whether or not the object has a posture abnormality or an exercise injury.

[0039] The server 20 may include a database 30, a test type selection unit 40, an object calculation unit 50, a data analysis unit 60, a test result output unit 70, and a smart exercise coaching unit 80, as shown in FIG.

[0040] The database 30 already stores basic tables required for posture or movement injury testing, as well as measurement information, test result information, and algorithm information of previously measured objects, and can be used when the object calculation unit 50 calculates test type information of the object by constructing big data based on the already stored information.

[0041] The test type selection unit 40 may provide one or more options to the object so that at least one can be selected for the test type of the object, and in the present invention, may be configured to select at least one of a posture test or a movement injury test.

[0042] In addition, the object calculation unit 50 can perform the function of calculating object information including information on joints, muscles, and posture for the object based on the information received by the measurement device 10 and the examination type selected by the examination type selection unit 40, as shown in FIG.

[0043] In addition, the object calculation unit 50 can perform the test selected by the test type selection unit 40 to calculate three-dimensional (X, Y, Z axis) values ​​of each joint of the object and transmit the calculated values ​​to the data analysis unit 60.

[0044] The data analysis unit 60 can perform a function of analyzing data based on the three-dimensional (X, Y, Z axis) values ​​calculated by the object calculation unit 50 and deriving an inspection result.

[0045] Such a data analysis unit 60 can be configured to include a movement injury detection unit 61 and a posture abnormality detection unit 64 .

[0046] The motor injury detection unit 61 performs the function of inspecting the dynamic posture based on the 3D information calculated by the object calculation unit 50 to determine the presence or absence of LOM and compensatory movement, and making a final judgment on the presence or absence of syndrome based on the determined information, and can only be performed when a motor injury test is selected by the test type selection unit 40.

[0047] In addition, the movement injury detection unit 61 can detect imbalances in the estimated LOM and compensation movement from among the disease syndrome algorithms already stored in the database 30, and the above-mentioned disease syndrome algorithms can be constructed by inputting a syndrome-related flow chart according to the position of the joints of the object into the database 30, and the above-mentioned disease syndrome algorithms are proprietary algorithms.

[0048] Such a movement injury detection unit 61 may further include a LOM determination unit 62 that determines whether or not the object has LOM at its joints using the joint points of the object estimated by the object calculation unit 50, and a compensatory movement determination unit 63 that determines whether or not the joint points of the object estimated by the object calculation unit 50 have compensatory movement.

[0049] The LOM determination unit 62 and the compensatory movement determination unit 63 determine whether or not the object has LOM at a joint and whether or not there is compensatory movement, and more specifically, for example, 1) if it is determined that the object has LOM and compensatory movement at a joint, it can determine that the joint at that part has a syndrome, 2) if it is determined that the object has LOM at a joint and does not have compensatory movement, it can determine that the joint at that part has a syndrome, 3) if it is determined that the object does not have LOM at a joint and has compensatory movement, it can determine that the joint at that part has a syndrome by conditioning according to the calculated value of the compensatory movement, and 4) if it is determined that the object has no LOM at a joint and does not have compensatory movement, it can determine that the joint at that part does not have a syndrome.

[0050] Here, if it is determined that there is no LOM in the joint and there is compensatory movement, the symptoms of the syndrome and the severity of the symptoms (whether the symptoms are severe, medium, or mild) can be determined based on the level of compensatory movement.

[0051] That is, the movement injury detection unit 61 can determine the presence or absence of a syndrome based on the presence or absence of LOM and compensatory movement determined by the LOM determination unit 62 and the compensatory movement determination unit 63.

[0052] The posture abnormality detection unit 64 detects the static postures of multiple joints and imbalances in estimated individual muscles based on the 3D information calculated by the object calculation unit 50, and can proceed only when the posture abnormality test is selected by the test type selection unit 40.

[0053] In addition, the posture abnormality detection unit 64 can detect whether there is an imbalance with respect to the estimated posture from among posture imbalance algorithms already stored in the database 30. The posture imbalance algorithm can be constructed by inputting a flowchart related to a syndrome according to the position of an object's joints into the database 30. The posture imbalance algorithm is an algorithm that has been independently developed.

[0054] Such an abnormal posture detection unit 64 can be configured to include a left-right imbalance determination unit 65, a front-rear imbalance determination unit 66, and a top-bottom imbalance determination unit 67.

[0055] The left-right imbalance determination unit 65 can determine whether or not there is an imbalance between the left and right in the object's posture, the front-to-back imbalance determination unit 66 can determine whether or not there is an imbalance between the front and back in the object's posture, and the top-to-bottom imbalance determination unit 67 can determine whether or not there is an imbalance between the top and bottom in the object's posture.

[0056] That is, the posture abnormality detection unit 64 can determine whether there is a posture imbalance to the left, right, front, rear, top, or bottom of the object.

[0057] In addition, the results of analysis by the movement damage detection unit 61 and the posture abnormality detection unit 64 can be calculated as numerical values ​​by the examination result calculation unit 68, and the numerical value calculated by the examination result calculation unit 68 can be transmitted to the examination result output unit 70.

[0058] The test result output unit 70 can perform the function of outputting the result values ​​(numerical values ​​calculated by the test result calculation unit) calculated by the movement injury detection unit 61 and the posture abnormality detection unit 64 to the GUI, and separately from this, can output them as a comprehensive test result to provide the comprehensive test result to the object.

[0059] Here, the overall test results may include test selection type, 3D posture (joint reconstruction), posture type, posture improvement level, movement type, motor injury improvement level, average score, and overall score, as shown in Figures 5 to 7.

[0060] The smart exercise coaching unit 80 can search the database 30 for rehabilitation exercise or preventive exercise information to be recommended for the object based on the information calculated by the data analysis unit 60, and can further output the rehabilitation exercise or preventive exercise information when outputting the comprehensive examination result.

[0061] Here, if the exercise injury detection unit 61 and the posture abnormality detection unit 64 determine that the object has a syndrome or posture abnormality, the smart exercise coaching unit 80 can perform the function of recommending rehabilitation exercises or preventive exercises that match the determined syndrome.

[0062] As shown in FIG. 8, the method for evaluating and analyzing musculoskeletal motor injury through a 3D dynamic joint range of motion test and posture abnormality through a static posture test using a posture or motor injury test system may include the steps of: selecting an examination type for which an object is to be examined through an examination type selection unit 40 (S10); collecting information corresponding to the selected examination type from the object (S20); calculating object information including information on the joints, muscles, and posture of the object through an object calculation unit 50 based on the big data constructed in the database 30 and the examination type information selected through the examination type selection unit 40; determining the presence or absence of LOM or compensatory movement for the joints, muscles, and posture of the object through a data analysis unit 60 based on the calculated information to determine the presence or absence of a syndrome (S30); calculating examination results through an examination result output unit 70 based on the information analyzed through the data analysis unit 60 (S40); and recommending rehabilitation exercise or preventive exercise information based on the calculated information through the examination result output unit 70 (S50).

[0063] First, before conducting the test, it is possible to select which test the object will undergo, and at least one of a posture test or a motor injury test can be selected to test the object's posture or motor injury. In the present invention, it is described that the motor injury test is selected and performed (S10).

[0064] After selecting the inspection type, the measurement device 10 can capture 360-degree images of the object through the measurement means of the front, back, left, and right sides of the object, and the measured information can be transmitted to the server 20. Here, the measurement device 10 and the server 20 can be connected via a wired or wireless network (S20).

[0065] The information measured by the measurement device 10 can be used to calculate object information via the object calculation unit 50, and the presence or absence of a syndrome (or disease) of the object can be determined based on the calculated information (S30).

[0066] Specifically, as shown in FIG. 9, the object calculation unit 50 estimates the major joints of the human body, reconstructs the major joints of the human body based on the estimated information (S31), and detects the presence or absence of movement damage to the joints via a disease syndrome algorithm (S32).

[0067] If the object determines that the joint has no LOM and no compensation, then the object being tested can be determined to be normal (S36), but if the object determines that the joint has either LOM or compensation (S33, S34), then the corresponding joint can be determined to have a syndrome (S35).

[0068] For example, if it is determined that there is no LOM in the joint and that there is compensation, then it is determined that the object does not have a syndrome, but the direction in which the object moves can be further calculated to determine the symptom and the severity of the symptom (whether the symptom is severe, medium, or mild).

[0069] After determining whether the condition is syndrome or normal (S35, S36), the test result can be calculated as a numerical value via the test result calculation unit 68 based on the calculated information, and the overall test result can be calculated in the test result output unit 70 based on the calculated numerical value (S37).

[0070] The test result output unit 70 may further calculate a comprehensive test result based on the information on whether the object is syndrome or normal, and the comprehensive test result may include at least one of the following selected test type, 3D posture (joint reconstruction), posture type, posture improvement level, movement type, motor injury improvement level, average score, and comprehensive score (S40).

[0071] Thereafter, the smart exercise coaching unit 80 can recommend rehabilitation exercises or preventive exercises based on the test results calculated by the test result output unit 70 (S50). More specifically, if it is determined that there is LOM in the joint (S33), it can determine that the object has a disease and recommend rehabilitation exercises suitable for the determined disease using information already stored in the database. If it is determined that there is no LOM in the joint (S34), it can determine that the object does not have a disease, but can further calculate the direction in which the object moves to determine the symptoms and the extent of the symptoms, and can recommend preventive exercises based on the determined information using information already stored in the database.

[0072] That is, according to an embodiment of the present invention, the accuracy and reliability of posture inspection or movement damage inspection of an object on a body can be improved.

[0073] In addition, according to one embodiment of the present invention, rehabilitation exercises and preventive exercises suitable for each individual are recommended depending on the presence or absence of posture abnormalities, LOM, and compensatory movements, and guide images for the recommended rehabilitation exercises and preventive exercises are provided together, thereby increasing the participation rate and efficiency of rehabilitation exercises and preventive exercises.

[0074] The present invention has been described in detail above through one embodiment, but this is for the purpose of specifically describing the present invention, and the musculoskeletal system movement injury by 3D dynamic joint range of motion test and posture abnormality evaluation and analysis method by static posture test according to the present invention is not limited thereto. And, the terms "include", "comprise", "have" and the like described above mean that the relevant component may be contained, unless otherwise stated to the contrary, and should be interpreted as including other components without excluding other components, and all terms including technical or scientific terms have the same meaning as generally understood by a person having ordinary skill in the art to which the present invention belongs, unless otherwise defined.

[0075] In addition, the above description is merely an illustrative example of the technical idea of ​​the present invention, and various modifications and variations are possible without departing from the essential characteristics of the present invention, if one having ordinary knowledge in the technical field to which the present invention belongs. Therefore, the embodiments disclosed in the present invention are for the purpose of explanation, not for the purpose of limiting the technical idea of ​​the present invention, and the scope of the technical idea of ​​the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted according to the following claims, and all technical ideas within the scope equivalent thereto should be interpreted as being included in the scope of the present invention. [Brief description of the drawings]

[0076] [Figure 1] FIG. 2 is a schematic diagram showing the relationship between a measurement device and a server of the posture or movement injury inspection system according to one embodiment of the present invention. [Diagram 2] FIG. 2 is a block diagram illustrating components of a server of a postural or movement injury screening system in accordance with an embodiment of the present invention. [Diagram 3] FIG. 2 is a block diagram illustrating components of an object calculator of a posture or movement injury screening system according to an embodiment of the present invention. [Figure 4] 13 is an exemplary diagram showing a comprehensive inspection result in a data analysis unit of a posture or movement injury inspection system and method according to an embodiment of the present invention; FIG. [Diagram 5] 13 is an exemplary diagram showing a comprehensive inspection result in a data analysis unit of a posture or movement injury inspection system and method according to an embodiment of the present invention; FIG. [Figure 6] 13 is an exemplary diagram showing a comprehensive inspection result in a data analysis unit of a posture or movement injury inspection system and method according to an embodiment of the present invention; FIG. [Figure 7] 1 is a flowchart illustrating a method for evaluating and analyzing musculoskeletal movement injuries through a three-dimensional dynamic joint range of motion test and posture abnormalities through a static posture test according to an embodiment of the present invention. [Figure 8]1 is a flowchart showing an object calculation method of a musculoskeletal movement injury evaluation and analysis method by a 3D dynamic joint range of motion test and a posture abnormality evaluation and analysis method by a static posture test according to an embodiment of the present invention.

Claims

1. (a) an object selecting at least one test type to be tested by the object through a test type selection unit provided by a server; (b) capturing the action and motion of the object through a multi-viewpoint measuring device and transmitting the captured information to the server; (c) based on the examination type selected by the examination type selection unit and the information collected by the multi-viewpoint measurement device, the object information including information on the joints, muscles, and posture of the object is converted into three dimensions (X, Y, Z axes) by an object calculation unit, and the data analysis unit determines the presence or absence of LOM or compensatory movement for the object to determine the presence or absence of a syndrome; (d) calculating a test result by a test result calculation unit based on the information calculated by the data analysis unit; (e) recommending rehabilitation exercises or preventive exercises through a smart exercise coaching unit based on the test results calculated by the data analysis unit; The data analysis unit includes a movement injury detection unit that detects a static posture of one or more joints relative to the object and an imbalance of an estimated individual muscle; a posture abnormality detection unit for detecting imbalance with respect to a static posture of one or more joints; The movement injury detection unit includes: an LOM determination unit that determines whether or not the object has an LOM at a joint by using the joint points of the object estimated by the object calculation unit; A method for evaluating and analyzing musculoskeletal movement damage through a three-dimensional dynamic joint range of motion test and posture abnormality through a static posture test, the method including: a compensatory movement determination unit that determines whether or not the object has compensatory movement at its joints using the joint points of the object estimated by the object calculation unit.

2. The step (a) comprises: The method for evaluating and analyzing musculoskeletal motion injuries by three-dimensional dynamic joint range of motion testing and posture abnormalities by static posture testing according to claim 1 , further comprising the step of selecting at least one of a posture test or a motion injury test.

3. The measuring device is provided with a maximum of 1 to a maximum of 8 measuring means capable of measuring a point where the object is located; The method for evaluating and analyzing musculoskeletal movement injuries by three-dimensional dynamic joint range of motion testing and posture abnormalities by static posture testing according to claim 1, wherein the measuring means is configured by selecting at least one of a camera, a sensor, an X-ray device, and a radiation device.

4. The method for evaluating and analyzing musculoskeletal movement injuries through 3D dynamic joint range of motion testing and posture abnormalities through static posture testing as described in claim 1, wherein the server further includes a database in which measurement information, test result information, and algorithm information of the object are already stored and which constructs big data based on the already stored data.

5. The step (c) comprises: (c1) estimating major joints of the object's human body via an object calculation unit, and reconstructing the major joints of the human body in three dimensions (X, Y, Z axes); (c2) detecting posture abnormalities due to static postures of multiple joints or detecting the presence or absence of movement damage to the calculated individual muscles; (c3) a step of calculating an inspection result of the object by an inspection result calculation unit based on the information detected by the data analysis unit. The method for evaluating and analyzing musculoskeletal movement damage by three-dimensional dynamic joint range of motion testing and posture abnormalities by static posture testing as described in claim 1, further comprising the steps of:

6. The method for evaluating and analyzing musculoskeletal motor injuries through 3D dynamic joint range of motion testing and posture abnormalities through static posture testing, as described in claim 1, wherein the movement injury detection unit determines whether or not there is LOM or compensatory movement for the object through a disease syndrome algorithm already stored in a database.

7. The method for evaluating and analyzing musculoskeletal motor injuries through 3D dynamic joint range of motion testing and posture abnormalities through static posture testing according to claim 1, wherein the posture abnormality detection unit determines whether or not there is a posture abnormality with respect to the object through a posture imbalance algorithm already stored in a database.

8. The step (d) comprises: The method further includes a step of outputting a comprehensive and detailed inspection result in the inspection result calculation unit based on the information calculated through the step (c), The method for evaluating and analyzing musculoskeletal motor injuries through a three-dimensional dynamic joint range of motion test and posture abnormalities through a static posture test as described in claim 1, wherein the comprehensive test results include a test selection type, a three-dimensional posture (joint reconstruction), a posture type, a posture improvement level, a movement type, a motor injury improvement level, an average score, and a total score.

9. The motion injury detection unit determines that the motion injury is normal if the LOM determination unit and the compensation movement determination unit determine that there is no LOM and compensation movement, 2. The method for evaluating and analyzing musculoskeletal movement damage by three-dimensional dynamic joint range of motion testing and posture abnormalities by static posture testing as described in claim 1, wherein if either the LOM judgment unit or the compensatory movement judgment unit judges that there is LOM or compensatory movement, it is judged that there is a syndrome for the joint.

10. If the LOM determination unit determines that there is no LOM for the joint and the compensatory movement determination unit determines that there is a compensatory movement, 10. The method for evaluating and analyzing musculoskeletal motor injuries by 3D dynamic joint range of motion testing and posture abnormalities by static posture testing as described in claim 9, further comprising: calculating the degree of compensatory movement by comparing the degree of compensatory movement determined by the compensatory movement determination unit with data already stored in a database; and determining the symptoms of a disease and the degree of the symptoms (whether the symptoms are severe, medium, or mild) based on the calculated degree of compensatory movement.

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