KR101964152B1 - Method and apparatus for analyzing body shape and recognizing disorders using analysis of spatial coordinates, and computer program therefor - Google Patents

Abstract

A body shape analysis and an abnormality determination method, system, and computer program using space coordinate analysis are disclosed. The method according to the present invention includes the steps of: receiving coordinate information indicating a plurality of reference points of a skeleton part of a subject from a sensor device; Calculating at least one of a vertical spacing distance and a horizontal spacing distance between reference points using the received coordinate information; Comparing the calculated separation distance with a predetermined diagnosis criterion, analyzing the body shape of the subject according to the comparison result, and determining whether the skeleton is abnormal.

Description

[0001] The present invention relates to a method and apparatus for analyzing body shape and anomaly using spatial coordinate analysis, and a computer program for the same,

The present invention relates to a method for analyzing a body shape of a subject and determining the presence or absence of an abnormality of a skeletal region, more specifically, by obtaining a spatial coordinate of a body skeleton using a general-purpose sensor device and automatically analyzing the body shape, A method and apparatus for predicting the likelihood of scoliosis or possible degenerative diseases by judging, and a computer program therefor.

In general, the diagnosis of body type (vertebral body and degenerative disease) in the clinic depends entirely on X-ray and CT, and therefore there is a growing concern about X-ray exposure, .

The most common tests, visual measurement and scolio-metrology, are inaccurate. In addition, since static biopsy can not extract accurate biomechanical parameters, it is difficult to check early scoliosis or turtle neck syndrome.

In addition, the conventional 2D posture analyzer is large in size, and when the gyroscope is used, the marker is attached to the body, which is inconvenient to use. Therefore, the problem of time and manpower, It can not be used in clinic, it is used only for attracting customers such as physical education classroom and fitness center.

In addition, the conventional non-radioactive inspection equipment is excessively expensive, so it is difficult to widely use and there is a limitation in that it can be inspected only in hospitals equipped with expensive equipment.

In addition, scoliosis is a part that can be judged by the doctor at the end by reviewing various factors comprehensively. However, the existing technology has a problem that the accuracy and reliability are low because it is judged uniformly by scraping the scoliosis with an extremely simple algorithm. In addition, there is an inconvenience that the upper body should be removed in the case of using infrared rays, or attaching a marker to the body or using a moire method.

On the other hand, the difference in the length of the left and right legs can cause scoliosis. In scoliosis patients, the leg length difference is 30%, and the most common cause of degenerative scoliosis is known as leg length difference. According to the results of the domestic study (Professor Seo Seok Seok, Korea University), the average score in the 60s or older is 38% and scales up to 50% in the 80s. Especially when the leg length is more than 1cm, the change of the biomechanic that occurs when standing or walking can lead to scoliosis, the pain of the legs (including the growth cramps), the pelvis is twisted, It can also cause diseases.

In addition, the rotation of the pelvis is closely related to the overall posture and posture of the trunk, and is most evident in people with severe scoliosis. In the case of idiopathic scoliosis, in the case of structural abnormality, the curvature of the scoliosis is often in the left side, and sometimes it is accompanied by a specific disease. Therefore, confirmation such as MRI is necessary. In the case of generalized idiopathic scoliosis, 80% of the cases are accompanied by a difference in pelvic rotation or leg length. Therefore, it is rare that only the spinal cord is completely replaced without a change in the pelvis, even if it is idiopathic scoliosis.

The prevalence of scoliosis is increasing every year and scoliosis of older people is also increasing. According to recent research, 894,594 elementary and junior high school students in Seoul / Gyeonggi province were surveyed for the prevalence of scoliosis. The incidence of curvature of the spine more than 10 degrees increased from 1.66% in 2000 to 3.08% in 2005, (Seoul Metropolitan Government, Kangdong Office of Education, 2009).

Additional deformities of the vertebrae are reported in 38% of patients in their 60s or older, and more than 50% of them in the 80s (Ancient Guro Hospital, 2009). The most common cause of newly developed scoliosis in the 60s or older is the difference in leg length. When this type of imbalance is not corrected, the scoliosis is degenerated, resulting in pain and pain due to neurosurgical and orthopedic degenerative diseases. Increasing medical costs is inevitable and needs to be prevented in advance.

When synthesizing the above contents, corrective and treatment should be preceded by a comprehensive analysis of pelvic displacement, leg length difference, shoulder height difference, scoliosis and pelvic height difference at the appropriate time to form a basis for a healthy life.

Therefore, it is urgently required to develop a diagnosis method and system for analyzing the body shape and determining whether there is an abnormality using non-ionizing radiation which can be implemented at a low cost with high accuracy.

1. Korean Patent Registration No. 10-1508178 "Scoliosis Analysis System and Analysis Method" 2. Korean Patent Registration No. 10-1542663 "Device for diagnosing spinal curvature using 3-D model of musculoskeletal angle and its diagnostic method" 3. Korean Patent Registration No. 10-1464862 "Method and Apparatus for Determining Scoliosis Using a Camera" 4. Korean Patent Registration 10-1331043 "Scoliosis Diagnosis System and Scoliosis Diagnosis Method"

Disclosure of Invention Technical Problem [8] The present invention has been made to solve the problems of the related art as described above, and it is an object of the present invention to provide a system and method for analyzing a body shape employing a non-contact optical type analyzing algorithm capable of diagnosing remotely, And a computer program for the same.

Also, the object of the present invention is to provide a method and apparatus for analyzing body shape and an abnormality with high reliability and accuracy using a multidimensional body shape analysis and a scoliosis determination algorithm using acquired spatial coordinates, and a computer program therefor.

In addition, non-ionizing radiations, which allow safe and repetitive inspections by deriving results similar to those of radiotherapy, while lowering the risks such as anxiety for examinations using ionizing radiation and the long-term variation of biological tissues due to repeated examinations It is intended to design an inspection method and to realize accuracy and reproducibility as general purpose equipment.

According to an aspect of the present invention, there is provided a method for analyzing body shape and an abnormality using spatial coordinate analysis according to an embodiment of the present invention includes receiving coordinate information indicating a plurality of reference points of a skeleton part of a subject from a sensor device Wow; Calculating at least one of a vertical spacing distance and a horizontal spacing distance between reference points using the received coordinate information; Comparing the calculated distance with a predetermined diagnostic criterion, analyzing the body shape of the subject according to the comparison result, and determining whether the skeleton is abnormal.

Wherein the determining step determines whether or not the subject's pelvis rotation, the pelvis rotation, and the pelvis rotation depend on the combination of the vertical height difference between the reference points indicating both ends of the subject's shoulder and the vertical height difference between the reference points indicating both ends of the pelvis, Determining at least one of a difference in length of both legs, facial asymmetry, and scoliosis potential.

The determining step may further include analyzing the body shape of the subject in consideration of whether the vertical height difference between the reference height indicating the both ends of the subject's shoulder and the vertical height difference between the reference points indicating the both ends of the pelvis is on the opposite side or not, .

Wherein the judging step includes the steps of classifying the test subject into a case where the vertical height difference between the reference points indicating both ends of the subject's shoulder is 3 mm or less, a case where the height difference is between 3 mm and 10 mm, Classifying the subject into a case where the vertical height difference between the reference points representing both ends of the pelvis of the subject is 3 mm or less, a case where the vertical height is between 3 mm and 10 mm, and a case where the vertical height difference exceeds 10 mm; Analyzing the body shape of the subject according to a classification result of a vertical height difference between the reference points indicating the opposite ends of the shoulder and a vertical height difference between the reference points indicating the opposite ends of the pelvis, .

Wherein said determining step determines whether or not the combination of the horizontal distance between the pelvis center point of the subject and the middle point between both eyes and the horizontal distance between the pelvis center point and the shoulder center point belongs to which section of the diagnosis criterion, And determining the likelihood of scoliosis of the subject.

Wherein the judging step includes a combination of a vertical height difference between a vertical height difference between reference points indicating both ends of a shoulder of the subject and a reference point indicating both ends of the pelvis and a vertical height difference between midpoints of the pelvis center point and both eyes of the subject And a lateral distance between the pelvis center point and the shoulder center point, respectively, belongs to a certain section of the diagnosis reference, thereby determining the possibility of scoliosis of the subject.

The step of determining the possibility of scoliosis of the subject includes the steps of: giving a first weight to a combination of a vertical height difference between reference points representing both ends of the shoulder of the subject and a vertical height difference of a reference point representing both ends of the pelvis; Providing a second weight to a combination of a lateral spacing distance between the pelvis center point of the subject and an intermediate point between both eyes and a lateral spacing distance between the pelvis center point and the shoulder center point; And calculating the possibility of scoliosis of the subject in consideration of the first weight and the second weight.

The determining step may include determining the leg length difference of the subject, the scoliosis, the spinal disc herniation, and the possibility of spinal stenosis if the lateral spacing distance between the pelvis center point and the shoulder center point of the subject exceeds 10 mm have.

Determining the possibility of scoliosis, back pain, and arthritis of the subject according to which section of the interval defined by the diagnosis criterion the length difference of both legs calculated using the received coordinate information belongs to .

According to another aspect of the present invention, there is provided an apparatus for analyzing body type and an abnormality using space coordinate analysis, comprising: a communication unit for processing communication with a sensor device; A diagnostic reference database for storing information on a skeletal structure diagnosis criterion according to a vertical spacing distance and a horizontal spacing distance between reference points of a human body; When at least one of a vertical distance and a horizontal distance between reference points is calculated using the received coordinate information when coordinate information indicating a plurality of reference points in the human body of the subject is received from the sensor device through the communication unit, And a diagnostic processor for analyzing the body shape of the subject and comparing the skeleton with the diagnostic reference information of the diagnosis reference database.

According to the present invention, it is possible to utilize popularized general-purpose equipments such as Microsoft's Kinect, so that the cost can be greatly reduced.

In addition, according to the present invention, diagnosis can be made if the subject can receive only the body skeletal space coordinate value at a remote place using a knee.

In addition, when the body shape analysis and the abnormality determination method according to the present invention are implemented in an application and installed in a smart phone, the body shape analysis and the abnormality determination service can be easily utilized through a smart phone.

Further, the body shape analysis and the abnormality determination method according to the present invention are highly accurate because a multidimensional decision algorithm using a combination of a plurality of factors is used.

FIG. 1 is a diagram for explaining a network configuration of a body composition analysis and an abnormality presence / absence determination system using spatial coordinate analysis according to an embodiment of the present invention.
FIG. 2 is a flow chart for explaining a body shape analysis and an abnormality determination method using spatial coordinate analysis according to an embodiment of the present invention.
3 is a diagram for explaining coordinate information obtained from a sensor device according to an embodiment of the present invention.
FIGS. 4 to 6 are views for explaining a method of determining a skeletal state by using a height difference between a shoulder and a pelvis according to an embodiment of the present invention.
FIGS. 7 and 8 are views for explaining a method of determining a skeletal state by analyzing the degree of turning of the spine according to an embodiment of the present invention.
9 is a diagram for explaining a method of determining the state of a leg skeleton according to an embodiment of the present invention.
10 is a diagram for explaining a method of determining a skeletal state according to the degree of pivotal rotation according to an embodiment of the present invention.
11 is a view for explaining a method of determining a skeleton state according to a difference in leg length according to an embodiment of the present invention.

The terms used in this specification will be briefly described and the present invention will be described in detail.

While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.

When an element is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements as well, without departing from the spirit or scope of the present invention. The term " means ", "part "," module ", etc. in the specification means units for processing at least one function or operation, Lt; / RTI >

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Although the possibility of disease according to a predetermined condition is described below as a predetermined probability (%), it is based on the experimental result of the inventor and is for convenience of explanation. The scope of the claims of the present invention is not limited to the probability It may vary depending on the experimental environment or situation.

FIG. 1 is a diagram for explaining a network configuration of a body composition analysis and an abnormality presence / absence determination system using spatial coordinate analysis according to an embodiment of the present invention.

Referring to FIG. 1, a body type analysis and an abnormality determination system using spatial coordinate analysis includes a sensor device 15 that acquires spatial coordinate data corresponding to a body skeleton portion of a subject 11, And an analyzer 10 that receives coordinate information from the analyzer 15 and analyzes the analyzer to analyze the body shape of the subject and determine the presence or absence of abnormality of the skeleton.

The sensor device 15 includes a sensor and / or a camera to acquire a spatial coordinate value for a plurality of reference points of a body skeleton of a subject. The sensor device 15 may include a non-ionizing radiation source such as IR (Infrared) .

An example of the sensor device 15 used in the present invention is Kinect of Microsoft Corporation. Kinect 1.0 is an IR structure optical system, Kinect 2.0 is a TOF system, and a joint tracking system is built in to recognize 20 joints per player (subject). Kinect is not only cheaper than other products but also verified for versatility and safety by many users.

The coordinate information received by the analysis apparatus 10 from the sensor device 15 includes spatial coordinate values for a plurality of reference points of the body skeleton region of the subject. The analysis apparatus 10 is a computing system having software and / or hardware components for analyzing a body shape of a subject by analyzing coordinate information and comparing it with a predefined diagnostic criterion and determining a skeletal abnormality. The analysis apparatus 10 can provide a body type analysis and an anomaly detection service in a web-based or dedicated application manner.

The analysis apparatus 10 includes a communication unit for processing communication with the sensor device 15, a diagnostic reference database for storing information on a skeletal structure diagnosis criterion according to the vertical separation distance and the horizontal separation distance between reference points of the human body, When at least one of the vertical distance and the horizontal distance between the reference points is calculated using the received coordinate information, With the diagnostic reference information of the diagnostic reference database, thereby analyzing the body shape of the subject and determining whether or not the skeleton is abnormal.

The user can view the result of analyzing the body shape of the subject and the result of the abnormality determination through the user terminal (not shown) connected to the analysis apparatus 10 or the analysis apparatus 10 and providing the result information.

The communication method between the sensor device 15 and the analysis apparatus 10 is not limited to a specific method and various wired / wireless communication can be used. The analysis device 10 is a computing device such as a server computer, a personal computer, a smart phone, a personal digital assistant (PDA), or a portable computer capable of communicating with the sensor device 15 through a predetermined network.

Various embodiments of the body composition analysis and the abnormality determination method performed by the analysis apparatus 10 will be described in detail below with reference to FIGS. 2 to 11. FIG.

FIG. 2 is a flow chart for explaining a body shape analysis and an abnormality determination method using spatial coordinate analysis according to an embodiment of the present invention.

The analysis apparatus 10 first receives coordinate information indicating a plurality of reference points of a skeleton site of the subject from the sensor device 15 (S20). The sensor device 15 includes a shoulder center point indicating the midpoint between the ends of both shoulders, both ends of the shoulder, both ends of the shoulder, both ends of the shoulder, both sides of the shoulder, the center of the pelvis indicating the midpoint between the ends of both pelvis, The ankle reference point, the thumb toe reference point, and the like, and transmits the corresponding coordinate data to the analyzer 10.

3 is a diagram for explaining coordinate information obtained from a sensor device according to an embodiment of the present invention.

The analysis apparatus 10 of the present invention receives and uses necessary coordinate information from the sensor device 15 according to various embodiments. The received coordinate information may include at least a part of spatial coordinate data indicating a plurality of reference points shown in FIG. 3, and both eyes 1-1 and 1-2, shoulder both ends 2-1 and 2-2, A shoulder center point 2 indicating the middle point between the shoulder ends of the shoulder, both elbows 3-1 and 3-2, wrists 4-1 and 4-2 and both ends of the pelvis 5-1 and 5- 6-1, 6-2), both ankles (7-1, 7-2), both large toes (8-1, 7-2), the pelvis center point (5) 8-2) can be a reference point.

The analysis apparatus 10 calculates at least one of a distance between the reference points, a vertical distance and a horizontal distance using the received coordinate information (S22).

In the embodiment using the height difference of the shoulder and the pelvis, the vertical distance between the shoulders and the vertical distance and the pelvis volume? The vertical distance between the pelvis and the center of the pelvis is calculated, and in the embodiment using the distance between the central point of the pelvis and the center of the shoulder with respect to the center of pelvis, the horizontal distance between the center of pelvis and the center of the pelvis, The distance will be calculated.

On the other hand, in the embodiment using the difference in leg length, the lengths of both legs can be calculated using the distance between the reference points pointing to both ends of the pelvis, both knees, and both ankles.

Next, the distance calculated in the above step is compared with a predetermined diagnostic criterion (S24). The diagnostic criteria can be implemented as a database that has been entered and modified by an administrator or through a machine learning process based on past diagnostic histories.

As shown in the example of the diagnostic reference data shown in FIGS. 4, 5, 6, 8, 10 and 11, the diagnostic criterion divides the calculated difference distance or separation distance into a plurality of sections, And the corresponding body shape analysis result and / or abnormality presence / absence determination result. The diagnosis criterion may also include data defining a combination of a plurality of distance distances and distinction distinction differences, and a body shape analysis result and / or an abnormality presence / absence determination result.

The body shape of the subject can be analyzed according to the result of comparison with the diagnostic criteria database and the presence or absence of abnormality of the skeleton can be determined (S26).

FIGS. 4 to 6 are views for explaining a method of determining a skeletal state by using a height difference between a shoulder and a pelvis according to an embodiment of the present invention.

Referring to FIG. 3, the height difference of the shoulders is determined by the vertical separation distances between the reference points 2-1 and 2-2, which indicate both ends of the shoulder. The coordinate of the reference point is represented by a three-dimensional spatial coordinate of (x, y, z) when the floor of the subject is standing on the xy plane and the upper side is the z axis. And the z value of the reference point 2-2.

Similarly, the height difference of the pelvis can be calculated as the vertical separation distance between the reference points 5-1 and 5-2 indicating the both ends of the pelvis, and the difference between the z value of the reference point 5-1 and the z value of the reference point 5-2.

Depending on which section of the diagnostic criteria the combination of the calculated height difference of the shoulder and the height difference of the pelvis belongs to, the possibility of scoliosis of the subject, as well as the pelvic rotation, the difference in the length of both legs, The body shape analysis and the abnormality determination can be performed.

In addition, it is possible to analyze the subject's body shape and determine whether there is a skeletal abnormality by further considering whether the vertical height difference between the reference height indicating the both ends of the subject's shoulder and the vertical height difference between the reference points indicating the both ends of the pelvis is on the opposite side. The east side means that the same side of the shoulder and pelvis is higher, and the opposite side means that the other side of the shoulder and pelvis is higher.

In the diagnostic criteria described in table form in Figs. 4 to 6, the unit is mm, and the left to right direction is primary classification (shoulder) and secondary classification (pelvis), and the difference between the shoulder and pelvis Or the opposite side. In addition, 1st, 2nd, and 3rd are sequentially diagnosed in the order of diagnosis frequency that can be evaluated according to the classification. 1st means primary diagnosis, 2nd means secondary diagnosis, and 3rd means tertiary diagnosis.

4 to 6, when the height difference between the shoulders is 3 mm or less, the case where the shoulder height difference is between 3 mm and 10 mm and the case where the height difference of the pelvis is greater than 10 mm, And the diagnosis criteria are set so as to analyze the body shape of the subject according to the result of classification of the height difference of the shoulders and the height difference of the pelvis, and to judge the skeletal abnormality.

Referring to FIG. 4, when the height difference of the shoulder is less than 3 mm, if the height difference of the pelvis exceeds 3 mm, it can be judged that there is a difference in the leg length or there is the pelvis rotation according to whether the difference is the same side or the opposite side . If the height difference between the shoulders and the height of the pelvis is on the ipsilateral side, the probability of pelvic rotation is secondarily determined to be about 45%. If the height difference of the shoulders and the height difference of the pelvis are opposite, 20% can be analyzed.

As shown in FIG. 4, when the height difference of the shoulders is within 3 mm and the height difference of the pelvis is less than 3 mmm, it can be classified into the normal range. However, even in the case of being classified into the normal range, the possibility of normal or scoliosis can be diagnosed by being reclassified again according to the degree of deviation of the spine to be explained with reference to FIGS. 7 and 8. 7 and 8 illustrate a method of diagnosing the skeletal state according to the position of the intermediate point A between the both eyes with respect to the center of the pelvis and the position of the intermediate point B between both shoulder ends.

Referring to FIG. 5, when the height difference of the shoulders is 3-10 mm, the height difference of the pelvis can be judged by the difference of the scoliosis and the leg length, In the case of 3 mm or less on the ipsilateral side, 3 to 10 mm or more than 10 mm, the leg length difference, the pelvic rotation, and scoliosis can be judged secondarily. If the difference in height of the pelvis is opposite, 10 mm or less, and 10 mm or more, respectively, the pelvic rotation and scoliosis can be determined. In addition, when the height difference of the pelvis is 3 mm or less at the opposite side, and when the difference is more than 10 mm, scoliosis or pelvic rotation can be judged secondary.

Fig. 6 shows a diagnosis criterion in the case where the height difference of the shoulders exceeds 10 mm. As in Fig. 4 and Fig. 5, it is understood that the diagnosis criterion is defined according to whether the height difference of the pelvis belongs to which section, have.

FIGS. 7 and 8 are views for explaining a method of determining a skeletal state by analyzing the degree of turning of the spine according to an embodiment of the present invention.

In this embodiment, the coordinates of the intermediate point (A) between both eyes of the subject, the intermediate point (B) between both shoulder ends, and the intermediate point (C) between both pelvis edges are used to determine the skeletal state.

The coordinates of the intermediate point A between both eyes can be obtained by receiving the coordinate data of both eyes from the sensor device 15 and calculating the intermediate point. The coordinates of the intermediate point B between both shoulder ends can be used by directly receiving the coordinate data of the shoulder center from the sensor device 15. The coordinates of the intermediate point C between both pelvis tips can be used by directly receiving the coordinate data of the hip center from the sensor device 15. [

A combination of the horizontal distance a between the center of the pelvis C of the subject and the middle point A between both eyes and the horizontal distance b between the center of the pelvis C and the center of the shoulder B, Depending on whether they belong or not, the possibility of scoliosis of the subject can be determined. The distance in the horizontal direction can be obtained by calculating the difference in x value between the corresponding reference points.

Referring to Fig. 7, a line connecting the center of the body through C and perpendicular to the floor is calculated by calculating a distance a between the center line and A and a distance b between the center line and the body. The possibility of scoliosis can be judged differently depending on whether a and b are within 3mm or between 3mm and 10mm, and b exceeds 10mm.

Referring to FIG. 8, when both a and b are within 3 mm, it is judged as normal. When a is less than 3 mm and b is more than 3 mm, the possibility of scoliosis is judged to be more than 20%, a is less than 3 mm, If it is more than 10mm, the possibility of scoliosis can be judged as 50% or more.

In addition, when b exceeds 10 mm, it is possible to further judge not only the subject's scoliosis but also the possibility of leg length difference, vertebral disc herniation, and spinal stenosis. For example, the diagnostic criteria can be set to 30% probability of leg length difference, 20% probability of scoliosis, 40% chance of lumbar disc herniation, and 30% probability of spinal stenosis.

Meanwhile, according to one embodiment, there are a combination of the two methods described above, that is, a method of using the difference of the height of the shoulder and the pelvis of the subject, and a method of using the horizontal distance between the middle point of the eyes and the center of the shoulder, , And the possibility of scoliosis can be judged according to the combination result.

Specifically, a combination of a vertical height difference between reference points indicating both ends of a subject's shoulder and a vertical height difference between reference points indicating both ends of the pelvis, a horizontal distance between the center of the pelvis of the subject and the middle point between both eyes, The possibility of the scoliosis of the subject can be judged according to which section of the diagnosis criterion belongs to the combination of the lateral spacing distances between the shoulder center points.

At this time, it is possible to determine the possibility of scoliosis by weighting the result value by the two methods and calculating by a predetermined formula. That is, a first weight is given to the combination of the vertical height difference between the reference points indicating the both ends of the shoulder and the vertical height difference between the reference points indicating the both ends of the pelvis (first method) (Second method) of the distance between the pelvis center point and the shoulder center point (the second method), and calculating the possibility of scoliosis considering the first weight and the second weight.

For example, if the first method computes a scoliosis probability of 20%, the first weight is 7, the second method calculates 50% probability of scoliosis, and the second weight is set to 3, the final scoliosis probability (20% * 0.7) + (50% * 0.3) = 29%.

9 is a diagram for explaining a method of determining the state of a leg skeleton according to an embodiment of the present invention.

The distance between the knees can be calculated using the coordinate information obtained by the sensor device 15 when the subject stood on both ankles and the state of the leg skeleton can be determined according to the result. When the distance between the knees is 5 cm or more, it can be judged as O leg.

When the subject stood on both knees, the distance between the ankles was calculated and the state of the leg skeleton was determined according to the result. When the distance between the ankles was 5 cm or more as shown in Fig. 9 (b) can do.

10 is a diagram for explaining a method of determining a skeletal state according to the degree of pivotal rotation according to an embodiment of the present invention.

It is possible to determine the body shape and the abnormality according to the rotational direction and degree of the left and right feet using the coordinate information obtained by the sensor device 15 when the subject stands in a comfortable posture.

Referring to FIG. 10, when the left foot is 10 degrees or more and the right foot is 4 degrees or less, the pelvis is rotated to the left side and the right side is determined to be flat. When the left foot is 4 degrees or less and the right foot is 10 degrees or more, And the possibility of a flattening of the left side can be judged. If both sides are less than 4 degrees, the possibility of an ankle leg and bilateral flattening can be judged. If both sides are more than 10 degrees, It can be determined that the possibility is high.

11 is a view for explaining a method of determining a skeleton state according to a difference in leg length according to an embodiment of the present invention.

The possibility of scoliosis, back pain, and arthritis of a subject can be judged according to which section of the section defined in the diagnostic criteria the difference in length of both legs calculated using the coordinate information obtained by the sensor device 15 belongs to. The length of the leg can be obtained by calculating the separation distance between the reference points of the pelvis, knee, and ankle.

Referring to FIG. 11, the diagnostic criteria can be classified into cases where the difference in the leg length is less than 5 mm, between 5 and 10 mm, between 10 and 20 mm, and more than 20 mm. The probability of back pain increased when the difference in leg length was between 5-10 mm. The probability of arthritis increased by 1.9 times in the 10-20 mm interval, the probability of scoliosis was more than 38% in the 60s and the probability of back pain increased And if it is in the section exceeding 20 mm, the probability of knee arthritis is increased by 4.4 times and it can be judged that the hospital treatment is indispensable.

The method according to an embodiment of the present invention can be implemented in the form of a program command which can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.

10: Analyzer (body type analysis and abnormality determination device)
11: Subjects
15: Sensor device

Claims (15)

Receiving coordinate information indicating a plurality of reference points of a skeleton part of the subject from the sensor device;
Calculating at least one of a vertical spacing distance and a horizontal spacing distance between reference points using the received coordinate information;
Comparing the calculated distance with a predetermined diagnostic criterion, analyzing the body shape of the subject according to the comparison result, and determining whether the skeleton is abnormal,
At least two pieces of information on the calculated separation distances are generated and combined with each other,
Generating at least two pieces of the combined information, weighting each of the pieces of combined information,
And a body shape analysis and a skeletal abnormality are determined from the diagnostic criterion corresponding to the result of the weighted combination, and the body shape analysis and the abnormality presence / absence determination method using the space coordinate analysis. The method according to claim 1,
Wherein,
The length of the pelvis of the subject, the length difference between the legs of the subject, and the height difference between the legs of the subject according to the combination of the vertical height difference between the reference points indicating both ends of the subject's shoulders and the vertical height difference between the reference points indicating the both ends of the pelvis, Determining whether at least one of facial asymmetry and scoliosis is possible; and analyzing the body shape and determining whether an abnormality is present or absent. 3. The method of claim 2,
Wherein,
Analyzing the body shape of the subject and determining the presence or absence of a skeletal abnormality by further considering whether the vertical height difference between the vertical height difference between the reference points indicating the opposite ends of the subject's shoulder and the vertical height difference between the reference points indicating the opposite ends of the pelvis is on the opposite side And analyzing the body shape using the spatial coordinate analysis and determining whether there is an abnormality. The method according to claim 1,
Wherein,
Classifying the test subject into a case where the vertical height difference between the reference points indicating both ends of the subject's shoulder is 3 mm or less, a case where the vertical height is between 3 mm and 10 mm, and a case where the height difference is greater than 10 mm;
Classifying the subject into a case where the vertical height difference between the reference points representing both ends of the pelvis of the subject is 3 mm or less, a case where the vertical height is between 3 mm and 10 mm, and a case where the vertical height difference exceeds 10 mm;
Analyzing the body shape of the subject according to a classification result of a vertical height difference between the reference points indicating the opposite ends of the shoulder and a vertical height difference between the reference points indicating the both ends of the pelvis, And analyzing the body shape using the spatial coordinate analysis and determining whether there is an abnormality. The method according to claim 1,
Wherein,
The possibility of scoliosis of the subject according to the combination of the horizontal distance between the pelvis center point of the subject and the middle point between both eyes and the lateral distance distance between the pelvis center point and the shoulder center point belongs to the section of the diagnosis criterion And determining the presence or absence of an abnormality using the spatial coordinate analysis. The method according to claim 1,
Wherein,
A vertical height difference between a vertical height difference between the reference points indicating both sides of the shoulder of the subject and a reference point indicating both ends of the pelvis and a vertical height difference between the center of the pelvis and the midpoint between the eyes of the subject, And determining the possibility of scoliosis of the subject according to which section of the diagnosis criterion belongs to the combination of the distance between the shoulder center points and the horizontal distance between the shoulder center points. Way. The method according to claim 6,
The step of determining the subject's scoliosis probability comprises:
Applying a first weight to a combination of a vertical height difference between reference points indicating both ends of a subject's shoulder and a vertical height difference between a reference height indicating both ends of the pelvis;
Providing a second weight to a combination of a lateral spacing distance between the pelvis center point of the subject and an intermediate point between both eyes and a lateral spacing distance between the pelvis center point and the shoulder center point;
And calculating the possibility of scoliosis of the subject in consideration of the first weight and the second weight. The method according to claim 1,
Wherein,
Determining the possibility of leg length difference, scoliosis, vertebral disc herniation, and spinal stenosis of the subject when the horizontal distance between the pelvis center point and the shoulder center point of the subject exceeds 10 mm; Analysis of body shape using analytic method and method of judging whether there is an abnormality. The method according to claim 1,
Wherein,
And determining the possibility of scoliosis, back pain, and arthritis of the subject according to which section of the interval defined by the diagnosis criterion the length difference of both legs calculated using the received coordinate information belongs to. Analysis of body shape using spatial coordinate analysis and determination method of abnormality. A computer program recorded on a recording medium for performing a body composition analysis and an abnormality determination method using spatial coordinate analysis according to any one of claims 1 to 9 A communication unit for processing communication with the sensor device;
A diagnostic reference database for storing information on a skeletal structure diagnosis criterion according to a vertical spacing distance and a horizontal spacing distance between reference points of a human body;
When at least one of a vertical distance and a horizontal distance between reference points is calculated using the received coordinate information when coordinate information indicating a plurality of reference points in the human body of the subject is received from the sensor device through the communication unit, And a diagnostic processing unit for analyzing the body shape of the subject by comparing the distance between the subject and the diagnostic reference information of the diagnosis reference database,
At least two pieces of information on the calculated separation distances are generated and combined with each other,
Generating at least two pieces of the combined information, weighting each of the pieces of combined information,
And a body shape analysis and a skeleton abnormality are determined from the diagnostic criteria corresponding to the result of the weighted combination, and the body shape analysis and abnormality presence / absence determination apparatus using the space coordinate analysis. 12. The method of claim 11,
The diagnostic processing unit,
The length of the pelvis of the subject, the length difference between the legs of the subject, and the height difference between the legs of the subject according to the combination of the vertical height difference between the reference points indicating both ends of the subject's shoulders and the vertical height difference between the reference points indicating the both ends of the pelvis, , The degree of facial asymmetry, and the possibility of scoliosis is determined based on the spatial coordinate analysis. 13. The method of claim 12,
The diagnostic processing unit,
The body shape of the subject is analyzed and the presence or absence of a skeletal abnormality is determined by further considering whether the vertical height difference between the vertical height difference between the reference points indicating the opposite ends of the subject's shoulder and the vertical height difference between the reference points indicating the opposite ends of the pelvis is on the opposite side Analysis of body shape using space coordinate analysis and apparatus for determining presence or absence of abnormalities. 12. The method of claim 11,
The diagnostic processing unit,
The possibility of scoliosis of the subject according to the combination of the horizontal distance between the pelvis center point of the subject and the middle point between both eyes and the lateral distance distance between the pelvis center point and the shoulder center point belongs to the section of the diagnosis criterion And determining the presence or absence of an abnormality using the spatial coordinate analysis. 12. The method of claim 11,
The diagnostic processing unit,
A vertical height difference between a vertical height difference between the reference points indicating both sides of the shoulder of the subject and a reference point indicating both ends of the pelvis and a vertical height difference between the center of the pelvis and the midpoint between the eyes of the subject, Wherein the possibility of scoliosis of the subject is determined based on the combination of the distance between the shoulder center points and the distance between the shoulder center points of the diagnosis reference.

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