KR102001722B1 - Apparatus and monitoring method for scoliosis diagnosis - Google Patents

Abstract

The present invention relates to a device for diagnosing and diagnosing spinal scoliosis, comprising a collecting unit for collecting image information of a front, back, left and right sides of a subject and left and right side pressure information of the subject, A recognition unit for recognizing positional information of the pelvis and vertebrae and recognizing a change in weight distribution from the pressure information; And extracting a first angle between a shoulder line and a pelvis line of the subject and a second angle between the vertebral segments using the position information recognized from the recognition unit, And an extracting unit for extracting a weight conversion value of the input image.

Description

[0001] Apparatus and monitoring method for scoliosis [

More particularly, the present invention relates to an apparatus and method for diagnosing spinal scoliosis, and more particularly, to an apparatus and method for diagnosing spinal scoliosis by sensing body information of a subject and extracting an angle between a shoulder line and a pelvis line, The present invention relates to a diagnostic apparatus and method for diagnosing a scoliosis of a scoliosis patient.

Scoliosis is a word derived from skolios which means that it is bent in Greek. It refers to a state in which the vertebra is bent sideways.

FIG. 1 is a view showing a conventional cobb angle measuring method.

Among the methods of diagnosing scoliosis, cobb angle measurement is the most accurate method (Golden Standard). As shown in FIG. 1, the cob angle is determined by determining the upper spinal plate and the lower spinal plate which are inclined with respect to the most concave portion of the curved line, respectively, and then a line parallel to the upper end of the upper plate and a line parallel to the lower end of the lower plate And the intersection of the two lines is called the cob angle definition. By measuring the cob angle, an orthopedic surgeon can determine what treatment is needed for the patient. In general, if the cobb angle is more than 40 degrees, correction surgery is necessary.

In addition, it is very important to diagnose scoliosis at the onset of the onset, considering that scoliosis progresses slowly and progresses.

For the treatment of such scoliosis, accurate diagnosis should be premised.

X-ray examination, computed tomography (CT), magnetic resonance imaging (MRI) and other methods are used to diagnose the cause of deformation, X-ray examination, And flexibility of the lateral aspect of the patient. However, in simple X-ray examination, when there is a difference from the case where the lateral direction or the direction is frequently seen, or when the progression of the scoliosis is rapid, the skin is depressed or the hair is in an abnormal position Performs more precise diagnosis by magnetic resonance imaging.

However, there is a problem that the human body is exposed to X-rays which are harmful to the human body, and MRI does not have a problem of X-ray exposure but there is a problem that diagnosis cost is high due to use of expensive equipment.

Korean Patent Publication No. 10-2015-0056910

The present invention has been made to solve the above-mentioned problems, and it is an object of the present invention to provide a diagnosis apparatus and method for diagnosing spinal scoliosis which can safely diagnose scoliosis without harmful measurement to the human body such as radiography.

Disclosure of Invention Technical Problem [8] Accordingly, the present invention has been made to solve the above problems, and it is an object of the present invention to provide a diagnosis apparatus and a diagnostic method for diagnosing spinal scoliosis without radiographing, thereby quickly selecting a patient at a low cost.

As a means for solving the above problems, a device for diagnosing spinal scoliosis according to an embodiment of the present invention is a device for collecting image information photographed on the front, back, left and right sides of a subject and left and right side pressure information of the subject A recognizing unit for recognizing position information of a shoulder, a pelvis, and a vertebrae from the image information, recognizing a change in a weight distribution from the pressure information, and a recognizing unit for recognizing a change in a weight distribution based on the shoulder line of the subject, And an extraction unit for extracting a first angle between the pelvic line and a second angle between the vertebral segments and extracting weight conversion values on the left and right sides of the subject from the weight distribution change.

And a determination unit that determines the subject to be an object of precision scoliosis examination if the first angle, the second angle, or the weight conversion value is greater than or equal to a threshold value.

The recognition unit recognizes at least one of left and right shoulder position information, left and right pelvis position information, and vertebral body position information from the collected image information, extracts left and right body weight distribution change information from the collected pressure information, At least one of the posture change information can be recognized.

The recognition unit recognizes the shoulder, pelvis, and vertebral segments by applying the collected image information to a predetermined algorithm, and the preset algorithm can extract markers previously attached to the shoulder, pelvis, and vertebral segments.

The first angle may be an angle between the shoulder line and the pelvis line, which is created by extending the position of the shoulder and pelvis, respectively.

The second angle may be an angle between adjacent vertebral nodes that connect a plurality of vertebral nodes and at each vertebral node location.

The weight conversion value may be a value obtained by calculating left and right center-of-gravity ratios of the left and right sides of the subject, respectively, and converting the center-of-gravity ratio.

According to another aspect of the present invention, there is provided a method for diagnosing scoliosis according to another embodiment of the present invention includes collecting image information of a front side, a rear side, a left side, and a right side of a subject and left and right side pressure information of the subject Recognizing position information of a shoulder, a pelvis, and a vertebral segment from the image information, recognizing a change in a weight distribution from the pressure information, and calculating a first angle between a shoulder line and a pelvis line of the subject using the positional information, Extracting a second angle between the vertebral nodes, and extracting weight conversion values of the left and right sides of the subject from the weight distribution change.

And determining the subject to be an accurate scoliosis test subject if the first angle, the second angle, or the weight conversion value is equal to or greater than a threshold value.

The recognizing step may include recognizing at least one of left and right shoulder position information, left and right pelvis position information, and vertebral position information from the collected image information, and extracting left and right weight distribution changes At least one of information and posture change information can be recognized.

Wherein the recognizing step recognizes the shoulder, pelvis, and vertebral segments by applying the collected image information to a predetermined algorithm, and the predetermined algorithm may be an algorithm for extracting markers previously attached to the shoulder, pelvis, and vertebral segments have.

The first angle may be an angle between the shoulder line and the pelvis line, which is created by extending the position of the shoulder and pelvis, respectively.

The second angle may be an angle between adjacent vertebral nodes that connect a plurality of vertebral nodes and at each vertebral node location.

The weight conversion value may be a value obtained by calculating left and right center-of-gravity ratios of the left and right sides of the subject, respectively, and converting the center-of-gravity ratio.

According to the present invention, scoliosis can be safely diagnosed without harmful measurement to the human body.

In addition, it is possible to quickly and safely screen the subjects who need to measure the coboscope at low cost.

FIG. 1 is a view showing a conventional cobb angle measuring method.
2 is a block diagram of a device for diagnosing spinal scoliosis according to an embodiment of the present invention.
3 is a diagram showing an example of a collection unit according to an embodiment of the present invention.
4 is a view showing an image collected by a collecting unit according to an embodiment of the present invention.
5A is a view showing an example of attaching a marker to a vertebral node.
5B is a view showing an example of a shoulder line and a pelvic line.
5C is a view for explaining the angle between the vertebral nodes.
6 is a flowchart of a method for diagnosing spinal scoliosis according to an embodiment of the present invention.

It is noted that the technical terms used in the present invention are used only to describe specific embodiments and are not intended to limit the present invention. In addition, the technical terms used in the present invention should be construed in a sense generally understood by a person having ordinary skill in the art to which the present invention belongs, unless otherwise defined in the present invention, Should not be construed to mean, or be interpreted in an excessively reduced sense. In addition, when a technical term used in the present invention is an erroneous technical term that does not accurately express the concept of the present invention, it should be understood that technical terms can be understood by those skilled in the art. In addition, the general terms used in the present invention should be interpreted according to a predefined or prior context, and should not be construed as being excessively reduced.

Furthermore, the singular expressions used in the present invention include plural expressions unless the context clearly dictates otherwise. In the present invention, terms such as "comprising" or "comprising" and the like should not be construed as encompassing various elements or various steps of the invention, Or may further include additional components or steps.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings, wherein like reference numerals refer to the same or similar elements, and redundant description thereof will be omitted.

In the following description, well-known functions or constructions are not described in detail since they would obscure the invention in unnecessary detail. It is to be noted that the accompanying drawings are only for the purpose of facilitating understanding of the present invention, and should not be construed as limiting the scope of the present invention with reference to the accompanying drawings.

First, a schematic configuration of a spinal scoliosis diagnosis apparatus according to a preferred embodiment of the present invention will be described.

2 is a block diagram of a device for diagnosing spinal scoliosis according to an embodiment of the present invention.

2, the scoliosis diagnosing apparatus 10 of the preferred embodiment of the present invention includes a collecting unit 100, a recognizing unit 200, an extracting unit 300, and a determining unit 400. As shown in FIG.

The collecting unit 100 collects body information of a measurement subject (hereinafter, referred to as a "subject") for measuring the degree of the spinal column only. The collection unit 100 includes image information of the front, back, left, and right sides of the subject, And collects left and right pressure information of the subject.

At this time, the left and right pressure information may be the weight distribution of the left foot and the right foot collected using the pressure sensor array 113.

The collecting unit 100 may be mounted on an auxiliary photographing frame (hereinafter referred to as auxiliary equipment), and a detailed description thereof will be given in FIG.

The recognition unit 200 recognizes at least one of the left and right shoulder position information, the left and right pelvis position information, and the vertebrae position information from the collected image information, and extracts left and right weight distribution changes Information and attitude change information.

At this time, the position information of the shoulder, pelvis, and vertebrae is recognized by applying a preset algorithm, and specific examples thereof may be algorithms for extracting markers previously attached to the shoulder, pelvis, and vertebrae.

In the present invention, the markers may be previously attached to the shoulder, pelvis and spinal nodes of the subject before diagnosis. Therefore, the position of the shoulder, the pelvis, and the vertebrae can be recognized by recognizing the marker attached in advance using the predetermined algorithm.

A specific method of attaching the mark will be described in FIGS. 5A to 5C.

) 및 척추 마디 사이의 제2 각도(

)를 추출한다.The extraction unit 300 extracts a first angle between the shoulder line and the pelvis line of the subject using the positional information recognized from the recognition unit 200

) And the second angle between the vertebral nodes

).

)는 어깨 및 골반의 위치를 각각 연장하여 생성된, 어깨선과 골반선 사이의 각도이며, 상기 제2 각도(

)는 복수 개의 척추 마디를 연결하고, 각 척추 마디의 위치에서 인접하게 위치한 척추 마디 사이의 각도이다.At this time, the first angle (

) Is the angle between the shoulder line and the pelvic line, generated by extending the position of the shoulder and pelvis, respectively, and the second angle

) Is the angle between adjacent vertebral nodes at the location of each vertebral node, connecting a plurality of vertebral nodes.

)는 상기 복수 개의 척추 마디 사이의 각도 중 가장 큰 각도값을 의미할 수 있다.At this time,

May mean the largest angle value among the angles between the plural vertebral nodes.

The method of extracting the angles will be described in more detail with reference to Figs. 5A to 5C.

)을 추출한다.The extracting unit 300 extracts weight conversion values of the left and right sides of the subject from the weight distribution change

.

)은 상기 피 측정자의 좌측 및 우측 무게 중심을 각각 계산하여 좌측 대비 우측 무게 중심 비율을 산출하고, 상기 무게 비율을 변환시킨 값을 의미한다.The weight conversion value (

Represents a value obtained by calculating the center-of-gravity ratio of the right side to the left side by calculating the center of gravity of the left and right sides of the subject, respectively, and converting the weight ratio.

)을 추출하는 방법을 구체적으로 설명하면 하기와 같다.The weight conversion value (

) Will be described in detail as follows.

The left and right center of gravity A is calculated, and the weight (B) caught by the center of gravity is calculated. Then, the center of gravity of the left and right feet is set as the denominator, the weight of the light weight as the denominator, and the center of gravity is calculated.

)은 0이다.For example, if the calculated ratio is 1, the left and right weights are equivalent, and the weight conversion value (

) Is zero.

)은 90이다. 본 발명에서는 무거운 쪽의 무게와 가벼운 쪽의 무게 비 값에 역비례하도록 상기 산출된 비율 1 ~ 0 사이의 값을 0 ~ 90 사이의 무게 변환값(

)으로 환산하여 변환한다.If the ratio is 0, only one leg is weighted, and the weight conversion value

) ≪ / RTI > In the present invention, a value between the calculated ratios 1 to 0 is set to a weight conversion value (0 to 90) between 0 and 90 so as to be inversely proportional to the weight of the heavy side and the weight of the light side

).

), 상기 제2 각도(

) 또는 상기 무게 변환값 (

)이 임계값 이상인 경우 상기 피 측정자를 정밀 척추 측만증 검사 대상자로 판단한다.The determination unit 400 determines whether the first angle

), The second angle (

) Or the weight conversion value (

) Is greater than or equal to the threshold value, the subject is judged to be a subject of precision scoliosis scans.

) 및 상기 제2 각도(

)의 범위인 0°~ 90°사이의 값을 0 ~ 90으로 환산하여 변환할 수 있다.In the present invention,

) And the second angle (

), Which is a range of 0 to 90 degrees, can be converted into 0 to 90 and converted.

The threshold value means a threshold value in which there is a possibility of only the vertebra side. In one embodiment, the threshold value is set to 5 in the present invention, and it is judged that there is a risk of scoliosis if the value is 5 or more. The threshold value is not limited to this, and the measurer can be set to a value suitable for judging only the spinal column side.

3 is a diagram illustrating an example of a collecting unit 100 according to an embodiment of the present invention.

The apparatus 100 for diagnosing scoliosis of the present invention may be mounted on an ancillary apparatus as shown in FIG.

The collecting unit 100 may include a laser distance sensor 111, an image sensor 112, and a pressure sensor array 113 as means for collecting body information of a subject. However, the present invention is not limited thereto.

The lower part of the auxiliary device is the part where the subject is positioned to measure the degree of the vertebra only, and the subject measures in the linear state on the upper center of the lower part.

A laser distance sensor 111 may be connected to the upper end of the auxiliary device.

The laser distance sensor 111 may be mounted on a guide (not shown) movable in the up, down, left, and right directions. Therefore, the laser distance sensor 111 moves in the up, down, left, and right directions to scan the shoulder position of the subject and measure the elongation.

The image sensor 112 may be connected to the auxiliary device to collect image information of the front, back, left, and right sides of the subject. At this time, the position of the image sensor 112 connected to the auxiliary device is not limited.

Although FIG. 3 shows one image sensor 112, the image sensor 112 may include a plurality of image sensors 112 for collecting image information of the front, back, left, and right sides of the subject.

At the lower end, a pressure sensor array 113 is disposed to collect the left and right pressure information of the subject, so that the change in the weight distribution can be recognized.

In addition, the center upper surface of the lower portion can indicate the position of the feet so that the subject can stand at the correct position.

4 is a view showing an image collected by a collecting unit according to an embodiment of the present invention.

 The image sensor 112 connected to the auxiliary device can collect image information of the front, back, left, and right sides of the subject as shown in FIG.

5A is a view showing an example of attaching a marker to a vertebral node.

The subject bends the waist forward in a straight posture, as shown in FIG. 5A, to form an arched shape and drops the arm comfortably downward. At this time, the vertebral segment is clearly visible, and the measurer attaches the marker to the vertebral segment of the subject. In Fig. 5A, the label is shown with a red sticker.

5B is a view showing an example of a shoulder line and a pelvic line.

When the recognizing unit 200 recognizes the position from the markers attached to the shoulder mark and the pelvis, the extracting unit 300 extends the positions of the shoulder and the pelvis recognized from the recognizing unit 200, Extract shoulder and pelvic line.

)를 추출한다.Thereafter, the extracting unit 300 extracts a first angle, which is the angle between the shoulder line and the pelvis line, generated by extending the positions of the extracted shoulder and pelvis, respectively

).

5C is a view for explaining the angle between the vertebral nodes.

The extraction unit 300 recognizes the positions of the vertebral nodes of the subject from the recognition unit 200 and connects them all in a straight line. The angle between the straight line connected directly to the upper vertebra position and the straight line connected to the lower vertebra position is measured.

로 표시하였으며, 이는 상기 추출된 복수 개의 척추 마디 사이의 각도 중 가장 큰 값을 의미한다.5C shows the angle between the vertebral nodes

, Which means the largest value among the angles between the extracted plural vertebral nodes.

6 is a flowchart of a method for diagnosing spinal scoliosis according to an embodiment of the present invention.

) 및 척추 마디 사이의 제2 각도(

)를 추출하고, 상기 체중 분포 변화로부터 상기 피 측정자의 좌측 및 우측의 무게 변환값(

)을 추출하는 단계(S300) 및 상기 제1 각도(

), 상기 제2 각도(

) 또는 상기 무게 변환값(

)이 임계값 이상인 경우 상기 피 측정자를 정밀 척추 측만증 검사 대상자로 판단하는 단계(S400)를 포함한다.As shown in FIG. 6, the method for diagnosing scoliosis includes collecting image information of the front, back, left, and right sides of a subject and left and right side pressure information of the subject (S100) Recognizing the position information of the pelvis and the vertebrae, recognizing a change in the weight distribution from the pressure information (S200), calculating a first angle between the shoulder line and the pelvic line of the subject using the positional information

) And the second angle between the vertebral nodes

) From the weight distribution change, and calculates the weight conversion value (

(S300) and a step of extracting the first angle

), The second angle (

) Or the weight conversion value (

) Is greater than or equal to a threshold value, determining the subject to be an object of precision scoliosis examination (S400).

In the present invention, before the diagnosis of the spinal column only, the measurer attaches the markers to the shoulders, vertebrae and pelvis positions of the subject.

As a specific method of attaching the marker to the vertebrae, the subject bends the waist forward in a straight posture, making his back arched, and his arm dropped easily. At this time, the vertebral segment is clearly visible, and the measurer attaches the marker to the vertebral segment of the subject. In the present invention, as shown in Figs. 5A to 5C, a red sticker is attached as an embodiment. In addition to the vertebral nodes, the left and right pelvis positions and the left and right shoulder positions of the subject are labeled.

The laser distance sensor 111 may be mounted on a guide (not shown) movable in the up, down, left, and right directions. Accordingly, when the subject is placed on the auxiliary device, the laser distance sensor 111 moves in the upward, downward, leftward, and rightward directions and coincides with the nose, It should be located in the center.

Then, the collecting unit 100 collects the body information of the subject (S100).

The laser distance sensor 111 may collect information on the height and shoulder position of the subject. Therefore, the degree of the shoulder flexion of the subject can be determined based on the position of the collected shoulders.

The pressure sensor array 113 located at the lower end of the auxiliary device collects the left and right pressure information of the subject.

Then, the image information of the front, back, left, and right sides of the subject is obtained from the image sensor 112.

Then, the recognition unit 200 recognizes at least one of the left and right shoulder position information, the left and right pelvis position information, and the vertebrae position information from the collected image information and extracts left and right weights At least one of the distribution change information and the posture change information is recognized (S200).

At this time, the collected image information is applied to a preset algorithm to recognize shoulder, pelvis, and vertebrae, and the predetermined algorithm may be an algorithm for extracting markers previously attached to the shoulder, pelvis, and vertebrae.

For example, when a red sticker is attached as shown in Figs. 5A to 5C, the predetermined algorithm may be an algorithm for detecting red.

Also, in order to more accurately recognize the mark, the subject can wear the top and bottom of the predetermined color and be inspected. For example, if the subject wears a blue background with a red marker (sticker), the predetermined algorithm can extract the mark more accurately.

) 및 척추 마디의 제2 각도(

)를 추출하고, 상기 체중 분포 변화로부터 상기 피 측정자의 좌측 및 우측의 무게 변환값(

)을 추출한다(S300).The extraction unit 300 extracts a first angle between the shoulder line and the pelvis line of the subject using the position information of the shoulder and pelvis

) And the second angle of the spinal column (

) From the weight distribution change, and calculates the weight conversion value (

(S300).

That is, in step S300, the extraction unit 300 recognizes the positions of the markers attached to the left and right shoulders, and extends the straight line to extract shoulders. Likewise, the position of the marker attached to the left and right pelvis is recognized and the pelvic line is extracted by extending it straight.

)를 추출한다. The extraction unit 300 extracts the shoulder line and the pelvis line, and then extends the shoulder line and the pelvis line to form a first angle

).

The angle extracting unit 300 receives the position information of each of the vertebrae from the recognizing unit 200 to extract angles between the vertebrae, and connects all of the vertebrae nodes in a straight line. At each vertebral position, the angle between the vertebral segments is measured by measuring the angle between the straight line connected to the upper vertebra and the straight line connected to the lower vertebra position.

)는 상기 척추 마디 사이의 각도 중 가장 큰 각도의 값을 의미할 수 있다.At this time,

) May mean a value of the largest angle among the angles between the vertebral nodes.

When the determination unit 400 determines that the angle of the shoulder line and the pelvis line, the angle between the vertebral segments, or the weight conversion value of the left and right sides of the subject is equal to or greater than a threshold value, the subject is determined as a subject of precision scoliosis test S400).

The threshold value means a threshold value in which there is a possibility of only the vertebra side. In one embodiment, the threshold value is set to 5 in the present invention, and it is judged that there is a risk of scoliosis if the value is 5 or more. The threshold value is not limited to this, and the measurer can be set to a value suitable for judging only the spinal column side.

In addition, a second embodiment of the present invention will be described.

In step S100, the subject is allowed to see the top, bottom, right, and left as far as possible without leaving the laser line marking the center. In this instruction, changes in body weight distribution with time and real-time posture changes on the front, back, left, and right sides of the subject are collected by the image sensor 112 in real time.

Then, the subject is shown a 30-second comedy image to induce a natural posture. At this time, the scoliosis diagnostic apparatus 10 may further include image display means (not shown) for displaying an image to the subject.

After showing the comedic image, the image shows the object moving from left to right, from top to bottom, from right to left, from bottom to top for one second for 30 seconds.

During 1-minute video viewing, changes in body weight distribution and posture changes over time are measured, photographed, and stored.

The stored plurality of image information, weight distribution change information, and posture change information are applied to steps S200 to S400 to determine whether the subject is a precision scoliosis scouting subject.

By performing the additional process as described above, not only the one-time physical information of the subject but also the change in body weight distribution and posture change information according to time can be collected to extract the angle between the shoulder line and the pelvis line and the angle between the vertebral nodes, The reliability of the diagnosis result is increased.

In addition, a third embodiment of the present invention will be described.

In step S100, the subject is allowed to see the top, bottom, right, and left as far as possible without leaving the laser line marking the center. The image information of the front, rear, left, and right sides taken in real time in real time and the left and right pressure information of the subject are collected using the image sensor 112 and the pressure sensor array 113.

), 제2 각도(

) 및 무게 변환값(

)의 평균값을 산출하고, 상기 제1 각도(

), 제2 각도(

) 또는 무게 변환값(

)의 평균값이 하나라도 5가 넘는 것이 있으면 정밀 척추 측만 검사 대상자로 판단할 수 있다.The information collected in real time is subjected to the steps S200 and S300 to calculate a first angle

), The second angle (

) And weight conversion value (

), And calculates the average value of the first angle

), The second angle (

) Or weight conversion value (

) Is greater than 5, it can be judged to be the subject of precision spine test.

), 제2 각도(

) 또는 무게 변환값(

)의 평균값을 산출한 후, 피 측정자에게 1분간 영상을 보여줌과 동시에 피 측정자의 전면, 후면, 좌측 및 우측을 촬영한 영상 및 상기 피 측정자의 좌측 및 우측 압력 정보를 1분간 수집한다.The first angle (

), The second angle (

) Or weight conversion value (

), And then the images of the front, back, left and right sides of the subject and the pressure information of the left and right sides of the subject are collected for 1 minute while displaying the image for 1 minute to the subject.

), 제2 각도(

) 및 무게 변환값(

)을 산출한다.Then, steps S200 and S300 are performed for all the image information and pressure information collected for one minute,

), The second angle (

) And weight conversion value (

).

At this time, if there is more than 10 of all the body information collected for 1 minute, it is judged to be the subject of close inspection.

The features, structures, effects and the like described in the foregoing embodiments are included in at least one embodiment of the present invention and are not necessarily limited to one embodiment. Further, the features, structures, effects, and the like illustrated in the embodiments may be combined or modified in other embodiments by those skilled in the art to which the embodiments belong.

Therefore, it should be understood that the present invention is not limited to these combinations and modifications. While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is clearly understood that the same is by way of illustration and example only and is not to be construed as limiting the scope of the present invention. It can be seen that various modifications and applications are possible. For example, each component specifically shown in the embodiments may be modified and implemented. It is to be understood that the present invention may be embodied in many other specific forms without departing from the spirit or essential characteristics thereof.

10: Scoliosis diagnostic device
100: Collecting section
111: Laser distance sensor
112: Image sensor
113: Pressure sensor array
200:
300:
400:

Claims (14)

A collecting unit for collecting image information of the front, back, left and right sides of the subject, distance sensor information for scanning the elongation and shoulder positions of the subject, and pressure information on the left and right sides of the subject;
A recognizing unit for recognizing the position information of the shoulder, the pelvis and the vertebrae from the image and the distance sensor information and the degree of shoulder bowing and recognizing the change in the weight distribution from the pressure information;
A first angle between the shoulder line and the pelvis line in the line posture of the subject to be measured and an arched shape in which the subject bends the waist forward in the line posture using the positional information and the degree of shoulder flexion recognized from the recognition unit An extracting unit for extracting a second angle between the vertebrae nodes in the posture and extracting weight conversion values on the left and right sides of the subject from the weight distribution change; And
And a judging unit for selecting the subject as a precision scoliosis subject if the first angle, the second angle, and the weight conversion value are all equal to or greater than a threshold value.
delete The method according to claim 1,
Wherein,
Recognizing at least one of left and right shoulder position information, left and right pelvis position information, and vertebral segment position information from the collected image information,
And recognizes at least one of left and right weight distribution change information and posture change information from the collected pressure information.
The method according to claim 1,
Wherein,
Wherein the predetermined algorithm is applied to a predetermined algorithm to recognize a shoulder, a pelvis, and a vertebral segment, and the preset algorithm extracts a marker previously attached to a shoulder, a pelvis, and a vertebral segment.
The method according to claim 1,
Wherein the first angle is an angle between a shoulder line and a pelvis line generated by extending the positions of the shoulder and the pelvis, respectively.
The method according to claim 1,
The second angle
An apparatus for diagnosing a scoliosis, comprising: connecting a plurality of vertebral nodes and angles between adjacent vertebral nodes at each vertebral node location.
The method according to claim 1,
The weight conversion value may be expressed as:
Wherein the center-of-gravity ratio of the left and right sides of the subject is calculated to calculate the left-to-right center-of-gravity ratio, and the center-of-gravity ratio is converted.
Collecting unit of the scoliosis diagnostic apparatus collecting image information of the front, back, left and right sides of the subject, distance sensor information of scanning the height and shoulder position of the subject, and pressure information of the left and right sides of the subject, ;
A recognition step of recognizing position information and shoulder bending degree of the shoulder, pelvis, and vertebrae from the image and distance sensor information, and recognizing a change in weight distribution from the pressure information;
Wherein the extracting unit bends the waist forward at a first angle between the shoulder line and the pelvis line in the line posture and the subject directly in the line posture using the positional information and the degree of shoulder bowing recognized from the recognizing unit, Extracting a second angle between the vertebrae in the posture formed by the weight change and extracting weight conversion values on the left and right sides of the subject from the weight distribution change; And
And a discriminating step of discriminating the subject as a subject for precision scoliosis examination if the first angle, the second angle and the weight conversion value are all equal to or more than a threshold value.
delete 9. The method of claim 8,
Wherein,
Wherein the recognition unit recognizes at least one of left and right shoulder position information, left and right pelvis position information, and vertebral position information from the acquired image information,
And recognizing at least one of left and right weight distribution change information and posture change information from the collected pressure information.
9. The method of claim 8,
Wherein,
Wherein the recognizing unit recognizes the shoulder, pelvis, and vertebral segments by applying the collected image information to a predetermined algorithm, and the predetermined algorithm is an algorithm for extracting markers previously attached to the shoulder, pelvis, and vertebrae, .
9. The method of claim 8,
Wherein the first angle is an angle between the shoulder line and the pelvic line, which is generated by extending the positions of the shoulders and the pelvis, respectively.
9. The method of claim 8,
The second angle
A method of connecting a plurality of vertebral nodes and monitoring the degree of scoliosis in an angle between adjacent vertebral nodes at each vertebral node location.
9. The method of claim 8,
The weight conversion value may be expressed as:
Wherein the left and right center of gravity of the subject are respectively calculated to calculate a center-to-center ratio of the right side to the left side, and the center-of-gravity ratio is converted.

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