Evaluation and analysis method for musculoskeletal movement injuries by 3D dynamic joint range of motion test and postural abnormalities 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 impairments and postural abnormalities due to static postures through a three-dimensional dynamic joint range of motion test, and more particularly to a method for evaluating and analyzing motor impairments and postural abnormalities due to static postures through a three-dimensional dynamic joint range of motion test, for calculating compensatory movements (compensatory actions) and joint range of motion restrictions by analyzing the position or change of the X, Y, and Z axes of each joint during a motor impairment 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.A press release from the Health Insurance Review and Assessment Service also clearly shows that, among musculoskeletal disorders, the rate of increase in patients with cervical pain, particularly in muscles related to the use of computers and smart devices, has risen sharply over the past 10 years.

[0004] The lack of awareness of correct movement and the components of the system (solution) also play a significant role. As rehabilitation medicine and preventive medicine have developed, in the past, the focus was on muscle strengthening exercises and aerobic exercise, with an emphasis on quantitative measurement evaluation of muscular dysfunction and body composition (body fat). However, the focus is now shifting to qualitative measurement evaluation of movement dysfunction that integrates the musculoskeletal and nervous systems, as well as exercise and rehabilitation. American experts are revealing methods for analyzing movement using the latest technology and machines to resolve pain and reduce the risk of injury (Maury Hayashida et al. 2015).

[0005] Another issue that needs to be resolved is the current problem of musculoskeletal system examinations and rehabilitation exercise prescriptions, which are conducted subjectively and qualitatively through visual measurement and prompting based on the expertise of individual musculoskeletal healthcare professionals. Although healthcare services such as physical / rehabilitation treatments or exercise prescriptions are provided through qualitative examinations based on the personal experience and expertise of individual professionals, in most cases the expert data is unreliable due to subjective and qualitative evaluations, making it essential to collect quantitative movement (posture and movement) data that can guarantee measurement reliability.

[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 health screening services are flat (two-dimensional) posture assessments, such as from a frontal or side perspective, and are limited in the reliability and evaluation items, and are only used to supplement existing visual measurement and facilitated examinations. Therefore, it is an urgent task to lay the foundation for the development of new data-based services in the field of musculoskeletal health care by quantitatively measuring three-dimensional musculoskeletal movement and accumulating musculoskeletal movement data.

[0007] This project aims to meet the rapidly increasing demand for musculoskeletal healthcare services by digitizing examinations and exercise coaching based on quantitative data on musculoskeletal movements and assisting specialists in making decisions during musculoskeletal healthcare services. The needs of service providers in the field of musculoskeletal healthcare are to confirm the results of musculoskeletal examinations, which have previously been qualitative, with quantitative data and provide healthcare services systematically based on the data. To support the direct examination process of medical professionals, 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 resulting data and assisting in 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 based on 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 patient performs a specified posture or movement, we can analyze movement characteristics that are highly related to disease differentiation for each posture or movement and present them as data.We also aim to present predicted disease groups estimated based on clinical and scientific disease differentiation guidelines, thereby assisting musculoskeletal healthcare professionals in the service delivery process.

[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 patient's musculoskeletal condition and turn quantitative data on musculoskeletal movements and information on prognostic diseases predicted from movements into big data. As with general health examinations, this will lay the foundation for expanding into various fields based on data in the musculoskeletal healthcare field and creating new service opportunities.

[0010] Therefore, to solve the above-mentioned problems, research is needed on systems and methods that can improve the recognition rate and estimate the presence or absence of syndromes based on quantitative data on the musculoskeletal condition.

[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 through a 3D dynamic joint range of motion test and postural abnormalities through a static posture test, in order to calculate compensatory movements (compensatory actions) and joint range of motion limitations (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 problem] In order to solve the above problems, A 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 according to an embodiment of the present invention includes: (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 movement and motion of the object through a multi-viewpoint measurement device and transmitting the captured information to the server; (c) based on the test type selected by the test 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 the object calculation unit, and the data analysis unit determines whether or not there is LOM (Limitation of Motion) or compensation movement for the object, thereby determining whether or not there is a syndrome; (d) calculating test results by a test result calculation unit based on the information calculated by the data analysis unit; (e) recommending rehabilitation exercises or preventive exercises via 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 static postures of one or more joints relative to the object and imbalances of estimated individual muscles; a posture abnormality detection unit that detects imbalance with respect to a static posture of one or more joints, The movement injury detection unit a LOM determination unit 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; The object may further include a compensation movement determination unit that determines whether or not the object has a compensation movement at the joint, 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, 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 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 measuring device may be provided with a maximum of 1 to 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 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 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 motor injuries by a three-dimensional dynamic joint range of motion test and posture abnormalities by a static posture test according to one embodiment of the present invention, the step (c) comprises: (c1) estimating the major joints of the human body of the object via an object calculation unit, and reconstructing the major joints of the human body into 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 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 motor injury detection unit can determine whether or not there is LOM or compensatory movement for the object through a disease syndrome algorithm already stored in the database.

[0018] In addition, in the method for evaluating and analyzing musculoskeletal movement injuries 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, the posture abnormality detection unit may determine whether or not there is a 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 motor injuries by a three-dimensional dynamic joint range of motion test and posture abnormalities by a static posture test according to one embodiment of the present invention, the step (d) comprises: The method further includes a step of outputting comprehensive and detailed inspection results in the inspection result calculation unit based on the information calculated through the step (c), The comprehensive test results may include test selection type, 3D posture (joint reconstruction), posture type, posture improvement level, movement type, movement injury improvement level, average score, and comprehensive 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 abnormalities through a static posture test according to an embodiment of the present invention, the motor injury detection unit determines that the condition is normal if the LOM determination unit and the compensatory movement determination unit determine that there is no LOM or compensatory movement, If either the LOM determining unit or the compensatory movement determining unit determines that there is LOM or compensatory movement, it can be determined that there is a syndrome in the joint.

[0021] 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, if the LOM determination unit determines that there is no LOM for a joint and the compensatory movement determination unit determines that there is 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 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 or dictionary sense, but should be interpreted in a meaning and concept that corresponds to the technical idea of ​​the present invention, in accordance with the principle that the inventor can appropriately define the concept of the term in order to best explain his / her invention.

[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 suited to each individual are recommended depending on the presence or absence of posture abnormalities, LOM, and compensatory movements, and corresponding guide images are provided, 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 postural 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 assessment system according to one embodiment of the present invention.

[0029] 4 to 6 are exemplary diagrams showing comprehensive test results in the data analysis unit of the posture or movement injury test 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 motor injuries through a three-dimensional dynamic joint range of motion test and postural 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 for a method for evaluating and analyzing musculoskeletal movement damage 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.

[0032] [Mode for Carrying Out the Invention] The unique aspects and specific technical features of the present invention will become more apparent from the following specific description and one embodiment in conjunction with the accompanying drawings. In this specification, when assigning reference numerals to components in each drawing, it should be noted that identical components are assigned the same numerals as much as possible, even if they appear in different drawings. Furthermore, when describing one embodiment of the present invention, if it is determined that a detailed description of related known structures or functions may obscure the gist of the present invention, such detailed description will be omitted.

[0033] Furthermore, when describing components of the present invention, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are merely used to distinguish the component 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 that another component may be "coupled," "coupled," or "connected" between them.

[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 measurement 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 posture or movement injury to the object (O) based on the information measured by the measurement device 10.

[0036] The measuring device 10 can be equipped with a minimum of one to a maximum of eight measuring means 11 that can measure all directions corresponding to 360 degrees based on the point where the object (O) is located. In the present invention, five measuring means 11 can be installed at points corresponding to the front, back, left and right sides of the object, but can 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 measurement device 10 and calculate whether or not the object has an abnormal posture 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 to construct big data based on the already stored information and calculate test type information of the object in the object calculation unit 50.

[0041] The test type selection unit 40 can 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, can be configured to allow at least one of a posture test or a movement injury test to be selected.

[0042] In addition, as shown in FIG. 3, the object calculation unit 50 can perform the function of calculating object information including information on the joints, muscles, and posture of the object based on the information received by the measurement device 10 and the examination type selected by the examination type selection unit 40.

[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 inspection results.

[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 movement injury detection unit 61 performs the function of inspecting the dynamic posture based on the 3D information calculated by the object calculation unit 50, determining whether or not there is 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 movement injury test is selected in 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. The disease syndrome algorithms can be constructed by inputting existing syndrome-related flowcharts according to the joint positions of the object into the database 30, and the disease syndrome algorithms are proprietary algorithms.

[0048] The movement injury detection unit 61 may further include an LOM determination unit 62 that determines whether 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 the object has compensatory movement at its joint points estimated by the object calculation unit 50.

[0049] The LOM determination unit 62 and the compensatory movement determination unit 63 determine whether an object has LOM in its joints and whether it has compensatory movement. More specifically, for example, 1) if it is determined that an object has LOM and compensatory movement in its joints, it is determined that the joint in that region has a syndrome; 2) if it is determined that an object has LOM in its joints but does not have compensatory movement, it is determined that the joint in that region has a syndrome; 3) if it is determined that an object has no LOM in its joints but does have compensatory movement, it is determined that the joint in that region has a syndrome based on the calculated value of the compensatory movement; and 4) if it is determined that an object has no LOM and compensatory movement in its joints, it is determined that the joint in that region does not have a syndrome.

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

[0051] That is, the movement injury detection unit 61 can determine the presence or absence of the 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 posture of multiple joints and the imbalance of 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 any imbalance in the estimated posture from among the posture imbalance algorithms already stored in the database 30. The posture imbalance algorithm can be constructed by inputting a flowchart related to syndromes according to the positions of the joints of an object into the database 30, and the posture imbalance algorithm is a proprietary algorithm.

[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 sides of 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 sides of 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 sides of 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, back, top, or bottom of the object.

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

[0059] Here, the comprehensive test results may include test selection type, 3D posture (joint reconstruction), posture type, posture improvement level, movement type, movement injury improvement level, average score, and comprehensive 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 an object 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 by 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 based on the calculated information through a data analysis unit 60 to determine the presence or absence of a syndrome; calculating examination results through an examination result output unit 70 based on the information analyzed by 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 movement injury test can be selected to test the object's posture or movement injury. In this invention, it is explained that a movement 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 front, rear, left, and right measurement means 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 whether or not there is movement damage to the joints through a disease syndrome algorithm (S32).

[0067] If the object determines that the joint has no LOM and no compensation, the object being tested can be determined to be normal (S36). However, if the object determines that the joint has either LOM or compensation (S33, S34), 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, 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 symptoms and the severity of the symptoms (whether the symptoms are severe, medium, or mild).

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

[0070] The test result output unit 70 can further calculate a comprehensive test result based on the information on whether the object is syndrome-positive or normal, and the comprehensive test result can include at least one of the following selected: test selection 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 that are 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 severity 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 one embodiment of the present invention, the accuracy and reliability of posture inspection or movement damage inspection of an object relative to a body can be improved.

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

[0074] Although the present invention has been described in detail above through one embodiment, this is for the purpose of specifically explaining the present invention, and the method for evaluating and analyzing musculoskeletal movement injuries through a 3D dynamic joint range of motion test and postural abnormalities through a static posture test according to the present invention is not limited thereto. Furthermore, the terms "comprise," "comprise," "have," and the like used above mean that the relevant element may be inherently present, unless otherwise specified to the contrary, and therefore should be interpreted as not excluding other elements but as including other elements. All terms, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the present invention pertains, unless otherwise defined.

[0075] Furthermore, the above description is merely illustrative of the technical concept of the present invention, and various modifications and variations are possible by those skilled in the art without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are for illustrative purposes only, and are not intended to limit the technical concept of the present invention. The scope of the present invention should be interpreted by the following claims, and all technical concepts within the scope of the claims should be interpreted as being within the scope of the present invention. [Brief explanation of the drawings]

[0076] [Figure 1] 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 an embodiment of the present invention. FIG. [Figure 2] FIG. 2 is a block diagram illustrating components of a server of a postural or movement injury screening system according to one embodiment of the present invention. [Figure 3] FIG. 2 is a block diagram illustrating components of an object calculator of a postural or movement injury screening system according to an embodiment of the present invention. [Figure 4] 10 is an exemplary diagram showing a comprehensive examination result in a data analysis unit of a posture or movement injury examination system and method according to an embodiment of the present invention; [Figure 5] 10 is an exemplary diagram showing a comprehensive examination result in a data analysis unit of a posture or movement injury examination system and method according to an embodiment of the present invention; [Figure 6] 10 is an exemplary diagram showing a comprehensive examination result in a data analysis unit of a posture or movement injury examination system and method according to an embodiment of the present invention; [Figure 7] 1 is a flowchart illustrating a 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 according to an embodiment of the present invention. [Figure 8]1 is a flowchart illustrating an object calculation method for a method for evaluating and analyzing musculoskeletal movement damage 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.

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 movement and motion of the object through a multi-viewpoint measurement device and transmitting the captured information to the server; (c) based on the test type selected by the test type selection unit and the information collected by the multi-viewpoint measurement device, an object calculation unit converts object information including information on joints, muscles, and posture of the object into three dimensions (X, Y, Z axes), and a data analysis unit determines whether or not there is LOM or compensatory movement for the object, thereby determining whether or not there is a syndrome; (d) calculating a test result as a numerical value in a test result calculation unit based on the information calculated in the data analysis unit, and calculating a comprehensive test result in a test result output unit based on the calculated numerical value; (e) recommending rehabilitation exercise or preventive exercise through a smart exercise coaching unit based on the comprehensive examination result; the data analysis unit includes a posture abnormality detection unit that detects static postures of one or more joints relative to the object and imbalances in estimated individual muscles; The data analysis unit further includes a movement injury detection unit; The movement injury detection unit 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 compensation movement determination unit that determines whether or not the object has a compensation movement at the joint, using the joint points of the object estimated by the object calculation unit; The movement damage detection unit determines that the movement is normal if the LOM determination unit and the compensatory movement determination unit determine that there is no LOM and no compensatory movement, If either the LOM determination unit or the compensatory movement determination unit determines that there is LOM or compensatory movement, it is determined that there is a syndrome in the joint, Furthermore, if the LOM determination unit determines that there is no LOM for the joint and the compensatory movement determination unit determines that there is compensatory movement, 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, which calculates 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 determines the symptoms of the disease and the degree of the symptoms (whether the symptoms are serious, medium, or mild) based on the calculated degree of compensatory movement.

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

3. The measuring device is provided with a maximum of 1 to 8 measuring means capable of measuring the point where the object is located, The method for evaluating and analyzing musculoskeletal movement injuries through three-dimensional dynamic joint range of motion testing and posture abnormalities through 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. 2. The method for evaluating and analyzing musculoskeletal movement injuries through three-dimensional dynamic joint range of motion testing and posture abnormalities through static posture testing according to 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) (c1) estimating the major joints of the human body of the object 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 exercise damage to the calculated individual muscles; (c3) A method for evaluating and analyzing musculoskeletal movement damage through three-dimensional dynamic joint range of motion testing and posture abnormalities through static posture testing as described in claim 1, further comprising a step of calculating the test results of the object using a test result calculation unit based on the information detected by the data analysis unit.

6. 2. 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, according to 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. 2. 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 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) The method further includes a step of outputting comprehensive and detailed inspection results in the inspection result calculation unit based on the information calculated through the step (c), 2. 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, according to claim 1, wherein the comprehensive test results include test selection type, three-dimensional posture (joint reconstruction), posture type, posture improvement level, movement type, motor injury improvement level, average score, and total score.

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