KR101978548B1 - Server and method for diagnosing dizziness using eye movement measurement, and storage medium storin the same - Google Patents

Abstract

A method for diagnosing dizziness performed in a dizziness diagnostic server, the method comprising: (a) outputting an eye image photographed by a camera; (b) determining a reference region to be a reference for eye movement measurement in the ocular image; (c) calculating movement of the reference region in three axes and analyzing a change in three axes calculated according to movement of the reference region; And (d) determining, based on the analyzed change of the three axes, a cannula that causes the eyeball movement.

Description

TECHNICAL FIELD [0001] The present invention relates to an observer diagnosis server, a method, and a recording medium on which the observer is diagnosed,

The present invention relates to a dizziness diagnostic technology, and more particularly, to an dizziness diagnosis server for diagnosing a dizziness by judging a cause of a movement of an eyeball based on a movement of an eyeball captured through a camera, And a recording medium recording the same.

Generally, the most important part of dizziness diagnosis is diagnosed through vestibular reflex of the human body. The vestibular reflex maintains balance through proper ocular reflex when there is head rotation. If the vestibular reflex disappears or falls, the human body does not induce proper ocular reflex according to the change of head position, and dizziness occurs.

Here, the eye rotates about the three axes according to the degree of vertigo or activation of the vestibular organs. The measurement of vestibular reflex is measured by the video nystagmus or electric pancreas which is already commercialized. The electric pancreas is rarely used since it is inconvenient to use.

Recently, a video nystagmus is analyzed by 2D (horizontal, H / vertical, V) or 3D (H, V, torsional) depending on the degree of nystagmus axis analysis. Because the resolution is determined according to the performance of the camera inside the video nystagmus and the price is too high, it is not widely used in 3D. In addition, as shown in FIG. 1, the result of the video pseudomonas is expressed as an angular velocity (deg / sec) according to the axis of the eye movement, and the physician must estimate the state of the vestibular function. The process requires considerable professional knowledge.

On the other hand, a video pseudo-nystagmus showing only eye movements through a video simply shows that the price is low but it does not provide velocity information about eye movements and it is difficult to interpret because the degree of rotation of the three axes is visually determined . In addition, about 10-20% of patients who complain of dizziness are dizziness of central origin and measurement of eye movement can provide more sensitive information than MRI in initial diagnosis. The type of central eye movement is already known, but in the case of non-specialist, it is difficult to guess the central and peripheral cause only by the type of eye movement. Therefore, a diagnostic technique that can solve this is required.

Korea Patent No. 10-1633186

SUMMARY OF THE INVENTION It is an object of the present invention to provide a method and apparatus for determining a specific region of an eyeball displayed on a display as a reference region for motion measurement and determining a movement of the eyeball caused by a semi- Diagnosis server and method.

An object of the present invention is to provide a dizziness diagnosis server and a method of automatically providing an dizziness caused by a central disease to an associated center (emergency center or hospital) when it is determined through analyzing according to movement of the eyeball .

According to a first aspect of the present invention, there is provided a dizziness diagnosis method performed by a dizziness diagnosis server, the method comprising: (a) outputting an eye image shot by a camera; (b) determining a reference region to be a reference for eye movement measurement in the ocular image; (c) calculating movement of the reference region in three axes and analyzing a change in three axes calculated according to movement of the reference region; And (d) determining, based on the analyzed change of the three axes, a cannula that causes the eyeball movement.

Preferably, the step (b) includes automatically setting the reference region by recognizing a pattern of the eyeball in the eyeball image, wherein the reference region is a region corresponding to a predetermined region including the uppermost portion of the iris of the eyeball can do.

Advantageously, step (b) may comprise calibrating the reference area.

Advantageously, the step (c) may include a step of converting the motion of the reference region into a three-dimensional vector.

Preferably, the step (d) includes the steps of: comparing the three-dimensional vector with a template indicating a position of each of the three cannulas stored previously; And determining a cause of the at least one of the three nociceptors to cause the eye movement according to a result of comparing the three-dimensional vector and the template.

Preferably, the step (d) may output a warning sound when the cause of the eye movement does not correspond to any one of the three cannulas, and it is determined that the cause is a central cause.

Preferably, the motion of the reference region may correspond to clockwise, counterclockwise, vertical, vertical down, horizontal right, or horizontal left.

According to a second aspect of the present invention, there is provided a dizziness diagnosis server comprising: an image output unit for outputting an eye image photographed by a camera; A reference region determining unit for determining a reference region to be a reference of eye movement measurement in the eye image; A reference area analyzer for calculating the movement of the reference area in three axes and analyzing the change of three axes calculated according to the movement of the reference area; And a joggling judgment unit for judging a cannula that causes the eyeball movement based on the analyzed change of the three axes.

Preferably, the reference region determination unit recognizes a pattern of an eyeball in the eyeball image to automatically set the reference region, and the reference region may correspond to a certain region including the uppermost portion of the iris of the eyeball.

Preferably, the reference area determination unit may calibrate the reference area.

Preferably, the reference region analyzing unit may convert the motion of the reference region into a three-dimensional vector.

Preferably, the fluctuation determining unit compares the three-dimensional vector with a template having a position of each of the three stored canines, and causes the eye movement among the three canals, according to a result of comparing the three- Can cause the cause of the ear canal.

Preferably, the ephemeris determining unit may output a warning sound when it is determined that the cause of the eye movement does not correspond to any one of the three canons, and is a central cause.

As described above, according to the present invention, the movement of the eyeball is analyzed in three axes to determine the nystagmus that causes the movement of the eyeball. Thus, the measurement of the eyeball movement can accurately discriminate dizziness at the early stage. Is not derived from the peripheral vestibular system, it outputs a message warning of the central cause and automatically transmits the signal to the emergency center or related center, thereby helping the patient's condition.

In addition, if it is determined that there is a dizziness caused by a central disease through the analysis according to the movement of the eyeball, it is automatically provided to the related center (emergency center or hospital), so that if the patient has the related apparatus, It is effective to receive prompt treatment.

FIG. 1 is a diagram showing a result value output through a conventional video pneumatic gland.
FIG. 2 is a view showing an image output through a conventional video pneumatur.
3 is a block diagram of the dizziness diagnostic system according to a preferred embodiment of the present invention.
4 is a block diagram of the dizziness diagnostic server of FIG.
FIG. 5 is a flowchart of the dizziness diagnosis method performed in the dizziness diagnosis system of FIG. 3;
FIG. 6 is an example of a reference region corresponding to the criteria of eye movement measurement.
7 is an illustration for explaining the positions of the three axes and the canal.
8A to 8C show another example for explaining the positions of the three axes and the canal.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention and the manner of achieving them will be more apparent from the following detailed description taken in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification. &Quot; and / or " include each and every combination of one or more of the mentioned items.

Although the first, second, etc. are used to describe various elements, components and / or sections, it is needless to say that these elements, components and / or sections are not limited by these terms. These terms are only used to distinguish one element, element or section from another element, element or section. Therefore, it goes without saying that the first element, the first element or the first section mentioned below may be the second element, the second element or the second section within the technical spirit of the present invention.

Also, in each step, the identification code (e.g., a, b, c, etc.) is used for convenience of explanation, and the identification code does not describe the order of each step, Unless the order is described, it may happen differently from the stated order. That is, each step may occur in the same order as described, may be performed substantially concurrently, or may be performed in reverse order.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. It is noted that the terms "comprises" and / or "comprising" used in the specification are intended to be inclusive in a manner similar to the components, steps, operations, and / Or additions.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The following terms are defined in consideration of the functions in the embodiments of the present invention, which may vary depending on the intention of the user, the intention or the custom of the operator. Therefore, the definition should be based on the contents throughout this specification.

3 is a block diagram of the dizziness diagnostic system according to a preferred embodiment of the present invention.

Referring to FIG. 3, the dizziness diagnosis system 100 includes a camera 110, a dizziness diagnosis server 120, and an output device 130.

The camera 110 is a device for photographing the movement of the eyeball. The camera 110 may correspond to a camera provided in an infrared camera or a user terminal. For example, the infrared camera may photograph an image of an eyeball as shown in FIG. 2, Can be photographed. The camera 110 used in the present invention is not limited to the type.

The dizziness diagnosis server 120 is an apparatus that receives an image of an eyeball from a camera 110 and performs a dizziness diagnosis method. Preferably, the dizziness diagnosis server 120 may analyze the movement of the eyeball in the image of the eyeball provided from the camera 110 to determine the nociceptor causing the movement of the eyeball, and thereby diagnose the dizziness. In one embodiment, the dizziness diagnostic server 120 may include a user interface to receive various commands for diagnosing dizziness from the user, for example, receiving preset information for performing the dizziness diagnostic method, A command for performing a motion analysis of the eyeball, or a command for processing an eyeball motion analysis result.

The output device 130 is an apparatus for outputting an image of an eyeball provided through the dizziness diagnosis server 120. [ The output device 130 may output the image of the eyeball provided by the dizziness diagnostic server 120 from the camera 110 as it is or output the image processed by the dizziness diagnostic server 120. [

That is, when the eyeball is photographed by the camera 110, the motion of the eyeball is displayed through the output device 130, and the dizzy diagnostic server 120 automatically recognizes a part of the upper part of the iris on the output device 130 And diagnose the dizziness by measuring the movement of the relevant part.

4 is a block diagram of the dizziness diagnostic server of FIG.

4, the dizziness diagnosis server 120 includes an image output unit 121, a reference region determination unit 122, a reference region analysis unit 123, an eclipse determination unit 124, and a control unit 125 do. The control unit 125 controls the operations of the video output unit 121, the reference area determination unit 122, the reference area analysis unit 123, and the azimuth determination unit 124 and the flow of data.

Hereinafter, the dizziness diagnosis method performed in the dizziness diagnosis system 100 will be described with reference to FIG.

The image output unit 121 of the dizziness diagnostic server 120 outputs an eye image photographed from the camera 110 (step S510). Preferably, the image output unit 121 may receive the image captured by the camera 110 in real time and output the image through the output device 130, or may perform a separate process on the image received in real time And output to the output device 130. In addition, the image output unit 121 can output the dizziness diagnosis result obtained in accordance with the analysis of the eye movement as well as the eye image captured by the camera 110. [

The reference region determining unit 122 determines a reference region to be a reference of the eye movement measurement from the eye image provided from the camera 110 (Step S520). For example, the reference region 610 may include an eye iris (not shown) as shown in FIG. 6, And the uppermost part of the area. Preferably, the reference region determining unit 122 may calibrate the determined reference region 610 so that the reference region can be accurately set to meet patient-specific eye characteristics for diagnosing the dizziness.

The reference region 610 determined through the reference region determination unit 122 is displayed on an eye image provided through the camera 110 and an eye image in which the reference region 610 is displayed as shown in FIG. May be output via the device 130. [

The reference area analyzing unit 123 calculates the motion of the reference area on three axes and analyzes the change of the three axes calculated according to the movement of the reference area (step S530). Preferably, the reference area analyzing unit 123 divides the motion of the reference area into three axes corresponding to vertical, horizontal, and rotation, calculates respective velocities, and synthesizes the velocities of the calculated vertical, horizontal, , The direction and speed of the final vector in the three axes can be determined. That is, the reference area analyzer 123 can convert the motion of the reference area into a three-dimensional vector, where the three-dimensional vector represents the motion value of the reference area calculated by three axes. Also, the movement of the reference region may correspond to clockwise, counterclockwise, vertically, vertically down, horizontal right, or horizontal left, and motion of the reference region may be obtained using a pattern recognition algorithm.

Here, the three axes are the axes indicating the positions of the three canal rings in a predetermined space, and each cannon is positioned on each axis. 7, the X-axis is a line connecting the nose and the back of the head, the Y-axis is a line connecting the ears, and the Z-axis is a line connecting the nose and the head. It is a vertical penetrating line, and the three canids are located on the X, Y, and Z axes, respectively. 8A to 8C, three axes can be seen at three view points. In FIG. 8A to FIG. 8C, the portion indicated by blue in the left axis is leftward (LH: left horizontal, LP: left posterior , LA: Left anterior), and the area marked in red is the right nasal ring.

Preferably, the positions of the six ear canals on both sides anatomically in three axes can be represented by the template as shown in Table 1 below.

[Table 1]

Preferably, when each canine ring is excited or inhibited, eye movement is induced and the eyeball is rotated with respect to the three axes, so that the reference region analyzing unit 123 can synthesize a vector representing eye movement rotating on three axes . In other words, when the eyeball is rotated in the horizontal, vertical, clockwise, or counterclockwise direction with respect to the X, Y, and Z axes according to the stimulation (excitation) or inhibition of the both side of the canal ring, The direction of movement of the eyeball movement in the dimensional space can be displayed.

The change of the three axes according to the motion of the reference area analyzed through the reference area analyzer 123 may be displayed in three dimensions through the output device 130. [

Based on the analyzed change of the three axes, the dizziness judging unit 124 judges a cannula that causes eye movement (step S540). Preferably, the eclipse determining unit 124 can compare the three-dimensional vector with a template such as that shown in [Table 1] in which the positions of the three stored canines are stored, and according to the result of comparing the three- The cause of the movement of the eyeballs can determine the cause of the canal.

More specifically, according to the direction of the final vector calculated by synthesizing the rotational direction and velocity of each axis of the three axes (X, Y, Z) according to the movement of the eyeball, The eardrum judging unit 124 analyzes whether the direction of the final vector coincides with one of the positions of the respective canids in Table 1. Then, Can be identified as the cause of the canal. In other words, the eclipse determining unit 124 determines the three-dimensional vector representing the characteristics of the measured eye movement based on the three stored ear canals And determines from which side the eye movement currently observed in the machine learning mode is derived from the anatomical position, and the dizziness diagnosis server outputs information about the cause of the dizziness symptom determined through the dizziness determination unit 124 By outputting through the device 130, dizziness diagnosis can be facilitated.

In one embodiment, when there is no spontaneous nystagmus and the movement of the eyeball can not be analyzed, the dizziness diagnosis server 120 may cause the output device 130 to output the following diagnostic process. That is, it is possible to cause the movement of the eyeball according to the diagnostic process output from the output device 130, and to capture the movement of the eyeball through the camera 110. Here, after the movement of the eyeball is induced, the dizziness may be diagnosed through the reference region analyzing unit 123 and the dizziness determining unit 124 described above based on the eyeball movement photographed by the camera 110. [

[Diagnosis process]

1) Measurement of spontaneous nystagmus: Stay still

2) Eye movements Measuring nystagmus: Do not move your head, move your eyes to the left, and move to the right

3) Measure the nystagmus after the bite: Shake the head firmly on both sides with respect to the horizon

4) Close your right eye and see the previous target point Close your left eye and look at the previous target point

5) bowing with your head bowed: bow your head

6) Measuring with your head up (tilt up): Take your head

7) Measuring in a lying position: lie down

8) Measuring with the head turned to the left in a lying state: Turn the head to the left in a lying state

9) Measuring with the head turned to the right while lying down: Turn the head to the right while lying down

10) DH position: Turn left at 45 degrees and lie to the right

11) DH position: Turn your head to the right by 45 degrees and lie to the left

In one embodiment, in the case of spontaneous nystagmus, if the dizziness determiner 124 can not determine a canonoid that causes eye movement based on the analyzed change of the three axes, that is, If the three-dimensional vector does not coincide with any of the axes of the three canons, the above diagnostic process is performed and the directions of "1" and "3" in the eye movement induced by the above diagnostic process are reversed Or when "2)", the nystagmus moving to the left when the right eye is moved and the left eye when moving the left eye are observed, or when the motion of the vertically moving eye is caused by "4", the dizziness determiner 124 causes eye movement It can be judged that the cause is the central factor. Also, in this case, the dizziness determination unit 124 can automatically make a contact with a predetermined specific contact (for example, a medical institution), and can transmit information about the dizziness diagnosis.

According to the present invention, it is possible to provide diagnostic techniques to not only physicians who specialize in inner ear diseases but also to non-medical doctors, and in particular, If it is difficult to distinguish precisely, it can help the public health by constructing a system that makes it possible to receive diagnostic help at home through a simple device and to automatically contact the relevant center if a central cause is suspected.

Meanwhile, the dizziness diagnosis method according to an embodiment of the present invention can also be implemented as a computer-readable code on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored.

For example, the computer-readable recording medium includes a ROM, a RAM, a CD-ROM, a magnetic tape, a hard disk, a floppy disk, a removable storage device, a nonvolatile memory, , And optical data storage devices.

In addition, the computer readable recording medium may be distributed and executed in a computer system connected to a computer communication network, and may be stored and executed as a code readable in a distributed manner.

Although the preferred embodiments of the dizziness diagnosis server and method and the recording medium on which the above-described eye movement measurement is performed according to the present invention have been described, the present invention is not limited thereto, It is to be understood that the invention is not limited to the disclosed embodiments.

100: dizziness diagnostic system
110: camera
120: dizziness diagnostic server
121: video output unit 122: reference area determination unit
123: Reference area analyzing unit 124:
130: Output device
610: Reference area

Claims (14)

A method for diagnosing an eardrum performed by an eardrum diagnostic server,
(a) outputting an eye image photographed from a camera;
(b) determining a reference region to be a reference for eye movement measurement in the ocular image;
(c) calculating movement of the reference region in three axes and analyzing a change in three axes calculated according to movement of the reference region; And
(d) judging a canal to cause the eye movement on the basis of the change of the analyzed three axes,
Wherein the step (b) includes automatically setting the reference region by recognizing a pattern of the eyeball in the eyeball image, wherein the reference region corresponds to a predetermined region including the uppermost portion of the iris of the eyeball,
The step (c) includes the step of converting the motion of the reference region into a three-dimensional vector,
Wherein the step (d) comprises the steps of: comparing the three-dimensional vector with a template having a position of each of the three cannulas stored previously; comparing the three-dimensional vector with the template, And determining a causal ear canal that causes the ear canal to be diagnosed.
delete 2. The method of claim 1, wherein step (b)
And calibrating the reference region. ≪ Desc / Clms Page number 22 >
delete delete 2. The method of claim 1, wherein step (d)
And outputting a warning sound when the cause of the eye movement does not correspond to any one of the three nociceptors and it is determined to be a central cause.
The method according to claim 1,
Wherein the motion of the reference region corresponds to clockwise, counterclockwise, vertical, vertical, horizontal right, or horizontal left.
An image output unit for outputting an eye image photographed from a camera;
A reference region determining unit for determining a reference region to be a reference of eye movement measurement in the eye image;
A reference area analyzer for calculating the movement of the reference area in three axes and analyzing the change of three axes calculated according to the movement of the reference area; And
And an eardrum determining unit for determining an eardrum to cause the eyeball movement based on the analyzed change of the three axes,
Wherein the reference region determination unit recognizes a pattern of an eyeball in the eyeball image and automatically sets the reference region, wherein the reference region corresponds to a certain region including the uppermost portion of the iris of the eyeball,
The reference area analyzing unit converts the motion of the reference area into a three-dimensional vector,
The jumping determination unit may determine the jumping state. The three-dimensional vector is compared with a template showing the position of each of the previously stored three canons, and the cause of the movement of the eye among the three canals is determined according to the result of comparing the three-dimensional vector with the template Features a dizzy diagnostic server.
delete 9. The apparatus of claim 8, wherein the reference area determination unit
And calibrating the reference area.
delete delete 9. The apparatus of claim 8, wherein the jumping determination unit
Wherein a warning sound is output when the cause of the eye movement does not correspond to any one of the three canopies and a central cause is determined.
A computer-readable recording medium having recorded thereon a computer program for executing the method according to claim 1.

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