KR102305387B1 - Nystagmus test device and test method for the diagnosis of benign paroxysmal positional vertigo - Google Patents

Abstract

The present invention discloses a nystagmus test apparatus and test method for the diagnosis of benign paroxysmal head vertigo. According to an aspect of the present invention, there is provided an apparatus for testing nystagmus for diagnosing benign sudden head position vertigo, comprising: an eyeball photographing unit configured to acquire an eyeball image by photographing a user's eyeball; a pupil detection unit for detecting a pupil from the eye image; Head position determination unit for determining the user's head posture; and an abnormality determination unit that determines whether the user is abnormal based on the data collected by the pupil detection unit and the head position determination unit.

Description

Nystagmus test device and test method for the diagnosis of benign paroxysmal positional vertigo

The present invention relates to a nystagmus test apparatus and test method for diagnosing benign sudden head position vertigo, and more particularly, to a benign sudden head position vertigo diagnosis that a user can use regardless of location by using a cheaper nystagmus test apparatus. To a nystagmus test apparatus and test method for diagnosing head-to-head vertigo.

Benign Paraxysmal Positional Vertigo (BPPV), commonly called otolithiasis in Korea, is a disease in which otoliths released from the oocytes cause physiological changes in the semicircular canals and cause dizziness according to posture changes.

Such benign sudden head position vertigo can be diagnosed accurately through characteristic positional nystagmus by performing a head position conversion test such as Dix-hallpike using characteristic clinical symptoms and video-oculography. possible. At this time, the head position conversion test is a test in which the patient's head is rotated to the left and right side.

On the other hand, a patient suspected of having otolithiasis should visit a specialized institution or hospital equipped with video nystagmus test equipment to diagnose otolithiasis as described above, and the video nystagmus test equipment is expensive and is equipped with equipment. There are not many specialized institutions or hospitals, and there is a problem in that the examination can be performed only by visiting a specialized institution or hospital equipped with equipment, so there is a problem that there is a limitation according to the place.

Korea Patent Publication No. 2017-0055589 (published on May 22, 2017)

The present invention has been proposed to solve the above problems, and a nystagmus test apparatus and test method for diagnosing benign sudden head position vertigo that can diagnose benign sudden head position vertigo regardless of location using relatively inexpensive equipment Its purpose is to provide

Other objects and advantages of the present invention may be understood by the following description, and will be more clearly understood by an embodiment of the present invention. Further, it will be readily apparent that the objects and advantages of the present invention can be realized by the means and combinations thereof indicated in the claims.

In accordance with an aspect of the present invention for achieving the above object, there is provided a nystagmus test apparatus for diagnosing benign sudden head position vertigo that is worn on a user's head and constitutes a blackout environment, and obtains an eyeball image by photographing the user's eyeball. filming department; a pupil detection unit for detecting a pupil from the eye image; Head position determination unit for determining the user's head posture; and an abnormality determination unit that determines whether the user is abnormal based on the data collected by the pupil detection unit and the head position determination unit.

The eyeball photographing unit includes an infrared camera including an infrared LED, a macro lens, and a sensor from which the infrared filter is removed to photograph the user's eyeball.

The pupil detection unit designates a region of interest in the acquired eye image, extracts a gray channel from the region of interest, extracts a binarized image from the gray channel, and morphology from the binarized image It is characterized in that noise is removed through operation, an outline is detected in the binarized image from which the noise is removed, an inside of the outline is filled, and a circle is detected in the image in which the outline is formed.

The pupil detection unit corrects a threshold value in binarization so that the circle is accurately detected.

The head position determination unit measures an angle using a three-axis gyro sensor and a three-axis acceleration sensor, and collects data by determining the head posture based on the degree of conversion of the angle.

The head position determination unit is characterized in that the noise is removed by using a complementary filter in order to reduce the drift phenomenon.

The abnormality determination unit is characterized in that the abnormality of the user is determined by applying a benign sudden head vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data.

The abnormality determination unit determines the position of the otolith according to the waveform of the signal to which the benign sudden head position vertigo diagnosis algorithm is applied, and determines the position of the otolith based on the waveform of the signal according to the position of the head position. do.

According to another aspect of the present invention for achieving the above object, a test method in a nystagmus test apparatus for diagnosing benign sudden head position vertigo that is worn on a user's head and constitutes a dark pre-cancer environment comprises the steps of: acquiring an eye image of the user ; detecting a pupil in the eyeball image, and collecting central coordinate data of the pupil; collecting data by determining the user's head position; and determining whether there is an abnormality in the user based on the collected data.

Detecting the pupil in the eyeball image and collecting the central coordinate data of the pupil may include: designating a region of interest in the obtained eyeball image; extracting a gray channel from the region of interest; extracting a binarized image from the gray channel; removing noise from the binarized image through a morphology operation; detecting an outline in the binarized image from which the noise has been removed and filling the inside of the outline; and detecting a circle in the image in which the outline is formed.

The detecting of the circle in the image in which the outline is formed may include correcting a threshold value in binarization so that the circle is accurately detected.

The step of collecting data by determining the head position of the user includes measuring an angle using a 3-axis gyro sensor and a 3-axis acceleration sensor, and collecting data by determining the head position based on the degree of conversion of the angle It is characterized in that it includes.

The step of collecting data by determining the head posture of the user may include removing noise using a complementary filter in order to reduce a drift phenomenon.

The step of determining whether the user has an abnormality based on the collected data includes applying a benign sudden head vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data to determine whether the user is abnormal It is characterized in that it comprises a step.

The step of determining whether the user has an abnormality by applying the benign sudden head vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data is performed according to the waveform of the signal to which the benign sudden head position vertigo diagnosis algorithm is applied. Determining the position of the otolith, characterized in that it comprises the step of determining the position of the otolith based on the waveform of the signal according to the position of the head.

According to one aspect of the present invention, there is an effect of diagnosing benign sudden head vertigo regardless of location using relatively inexpensive equipment.

The effects obtainable in the present invention are not limited to the above-mentioned effects, and other effects not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the following description. .

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and serve to further understand the technical spirit of the present invention together with specific contents for carrying out the invention, so the present invention is in such drawings It should not be construed as being limited only to the stated matters.
1 is a schematic configuration diagram of a nystagmus test apparatus for diagnosing benign sudden head vertigo according to an embodiment of the present invention;
2 is a flowchart of a pupil detection process according to an embodiment of the present invention;
3 to 9 are views in the pupil detection process according to an embodiment of the present invention;
10 to 13 are signal analysis graphs according to an embodiment of the present invention;
14 is a graph showing the characteristics of a waveform according to nystagmus according to an embodiment of the present invention;
15 is a view showing the highest and lowest points detected in a patient with benign sudden head vertigo;
16 is a schematic flowchart of an inspection method according to an embodiment of the present invention.

The above-described objects, features and advantages will become more apparent through the following detailed description in relation to the accompanying drawings, and accordingly, those of ordinary skill in the art to which the present invention pertains can easily implement the technical idea of the present invention. There will be. In addition, in the description of the present invention, if it is determined that the detailed description of the known technology related to the present invention may unnecessarily obscure the gist of the present invention, the detailed description thereof will be omitted. Hereinafter, a preferred embodiment according to the present invention will be described in detail with reference to the accompanying drawings.

Throughout the specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated. In addition, the “… The term “unit” means a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software.

1 is a schematic configuration diagram of a nystagmus test apparatus for diagnosing benign sudden head vertigo according to an embodiment of the present invention.

The nystagmus testing apparatus 100 for diagnosing benign sudden head vertigo according to the present embodiment may be in the form of a wearable device. A wearable device is an electronic device that is worn or attached to a person's body, and refers to a device that can be worn on various body parts, such as a hand, arm, neck, ankle, neck, and torso. At this time, according to the present embodiment, the wearable device is preferably in the form of goggles that can be used on the face including the eyes because the wearable device needs to understand the nystagmus phenomenon occurring in the user.

In the case of a wearable device, the nystagmus examination apparatus 100 may include a concave lens and a camera to more accurately detect the movement of the user's pupil. In this case, the camera may be an infrared camera. On the other hand, the nystagmus examination apparatus 100 emits light using an infrared LED, but emits infrared light using a reflector without emitting light directly to the eye.

Referring to FIG. 1 , the nystagmus examination apparatus 100 for diagnosing benign sudden head vertigo according to the present embodiment includes an eye photographing unit 110 , a pupil detection unit 120 , a head position determination unit 130 , and an abnormality determination unit. (140).

The eyeball photographing unit 110 acquires an eyeball image by photographing the user's eyeball. The eye photographing unit 110 includes an infrared camera including an infrared LED, a macro lens, and a sensor from which an infrared filter is removed. The eyeball photographing unit 110 may acquire an eyeball image by photographing the user's eyeball by the organic operation of the above-described components.

The pupil detection unit 120 detects a pupil in the eyeball image captured by the eyeball photographing unit 110 . The pupil detection unit 120 designates a region of interest in the acquired eye image, extracts a gray channel from the region of interest, extracts a binarized image from the gray channel, and performs a morphology operation from the binarized image. Through this method, noise may be removed, an outline may be detected from the noise-removed binarized image, and the inside of the outline may be filled, and a circle may be detected from an image in which an outline is formed. Also, the pupil detection unit 120 may correct a threshold value in binarization so that a circle is accurately detected. A more detailed process for the pupil detection unit 120 to detect the pupil will be described later with reference to FIG. 2 .

The head position determining unit 130 determines the head position of the user wearing the nystagmus test apparatus 100 and performing the nystagmus test. The head position determination unit 130 may measure an angle using a three-axis gyro sensor and a three-axis acceleration sensor, determine the head posture based on the degree of conversion of the angle, and collect data. According to the present embodiment, the head position determination unit 130 may measure an angle of -180 degrees to 180 degrees on the X, Y, and Z axes by using the 3-axis gyro sensor and the 3-axis acceleration sensor. For example, the angle measured using the 3-axis gyro sensor and the 3-axis acceleration sensor may be as shown in Table 1 below. It is possible to determine the case and use the X-axis to determine the left and right head position transformation. As a result of the determination, a total of three postures can be distinguished: left and right head position when lying down, sitting, and when lying down and left and right head position is not converted.

The abnormality determination unit 140 determines whether the user is abnormal based on the data collected by the pupil detection unit 120 and/or the head position determination unit 130 . The abnormality determination unit 140 includes the pupil detection unit 120 and the nystagmus theory according to the Dix-hallpike test in the data collected through the head position determination unit 130. Benign sudden head position vertigo diagnosis algorithm can be applied to determine whether the user has an abnormality. The Dix-hallpike test is a method of examining the presence or absence of otoliths in the anterior and posterior semicircular canals. This is a test method for detecting and diagnosing nystagmus due to the occurrence of lymph flow in the semicircular canal as the lime float in the sediment falls in the direction of gravity. The abnormality determination unit 140 determines the position of the otolith according to the waveform of the signal to which the benign sudden head position vertigo diagnosis algorithm is applied, and the position of the otolith can be determined based on the waveform of the signal according to the position of the head. . A more detailed description of the algorithm for diagnosing benign sudden head vertigo will be described later with reference to FIG. 15 .

On the other hand, nystagmus is a corrective eye movement that appears to correct the image of an object deviating from the center of the retina due to abnormalities in various eye movement systems up to the cerebrum as well as peripheral vestibular abnormalities. In other words, when there is an abnormality in the eye movement system, the eyeball does not stay in the desired position and the image of the object deviates from the central concave. The eye movement that occurs to correct this is called nystagmus. At this time, it is possible to determine the cause of dizziness occurring in the user from the nystagmus phenomenon. Such nystagmus can appear in many different ways, but it is classified into nystagmus and saccadic oscillation depending on whether the eye movement deviating from the gaze point is a slow eye movement or a saccade. Physiological nystagmus includes Per-Rotatory Nystagmus and Optokinetic Nystagmus, which operate to keep the image of an object constant while the body rotates, and clinically, depending on the type of occurrence, largely spontaneous nystagmus ( It can be divided into spontaneous nystagmus and induced nystagmus. Each nystagmus is classified into central and peripheral according to the lesion site. On the other hand, methods for detecting nystagmus signals include Electro-Nystagmogmography (ENG), Scleral Search Coil System (SSCS), and Video-Oculography (VOG).

Meanwhile, the nystagmus examination apparatus 100 according to the present embodiment may further include a battery unit 150 , a power switch unit 160 , and a port unit 170 .

The battery unit 150 may supply power to the device, and may consist of a 5,000mAh lithium-ion battery.

The power switch unit 160 may be installed on an external side of the device to perform a function of turning on/off the power of the device.

The port unit 170 is provided on an external side of the device for connection between the device and an external device, and may be configured as a USB, HDMI, Micro 5PIN (IN) port, or the like. In addition, when the port unit 170 includes a charging function, it may be connected to an external power terminal to charge the battery unit 150 .

According to the present embodiment, for the diagnosis of benign sudden head position vertigo, the user wears the goggles-type nystagmus test apparatus 100 on the head, the nystagmus test apparatus 100 captures an eyeball image, and converts the captured eyeball image into an OpenCV image. Using a processing library, the pupil is detected through conversion from the RGB channel to the Gray channel, and the central coordinate data of the pupil is collected. In addition, using a 3-axis gyro and/or an acceleration sensor, it is converted into an angle through a complementary filter, and the head posture is determined through the converted angle to collect data. Thereafter, using the collected data, using the nystagmus theory according to the Dix-Hallpike test, the user's abnormality is determined by applying the benign sudden head vertigo diagnosis algorithm. On the other hand, the complement of the complementary filter is a filter to obtain better results by supplementing the gaps between the gyro and the acceleration in the meaning of complementary and complementary. Before using the complementary filter, the angle can be obtained with the initial data and the degree of movement by integrating the gyro data. This is because the data below the decimal point is discarded and as the value accumulates through integration, the drift phenomenon that diverges from the actual value occurs. . Complementary filter is a filter to obtain an ideal result by combining a gyro sensor that cannot be sure of the data at every moment but can trust the average value and an accelerometer sensor that is accurate at every moment but cannot trust the average value.

Meanwhile, in the description of the present embodiment, the above-described components are described as operating individually, but the present invention is not limited thereto, and may be controlled by a control unit (not shown) to operate organically.

2 is a flowchart of a pupil detection process according to an embodiment of the present invention, and FIGS. 3 to 9 are diagrams of a pupil detection process according to an embodiment of the present invention.

Referring to FIG. 2 , first, the nystagmus examination apparatus 100 acquires an eyeball image by photographing the user's eyeball. In the anterior segment image, the ocular region can be largely composed of the pupil, iris, sclera, and eyelid. At this time, in the case of Asians, since the color of the iris and the color of the pupil are similar, it is difficult to distinguish them. In order to solve this problem, an image as shown in FIG. 3 is acquired using an infrared camera.

Thereafter, a region of interest is designated in the eyeball image acquired as an infrared image. Image processing of the entire video is inefficient, and image processing may become slow. Therefore, it is desirable to set only the anterior segment in the image as the region of interest to reduce the image processing range and detect the pupil more efficiently. 4 is a diagram illustrating an example in which a region of interest is designated.

Then, a gray channel is extracted from the designated region of interest, and a binarized image is extracted from the gray channel. Convert the obtained RGB image to gray channel for binarization. The image converted to the gray channel is binarized. 5 is a result of binarization of an image in which a region of interest is designated. When only binarization is performed, it can be seen that many noises exist. Therefore, after image binarization, noise is removed through a morphology operation. Morphology operation is an image processing technique used to transform the shape of a specific object existing in an image, and is a method to view and access an image from a morphological point of view. It is mainly used to remove noise from images. Morphology operations use erode and dilate. Erosion is to replace the minimum pixel value among the neighboring pixels with the current pixel value, and may cause the object of small noise to disappear. Dilation is to replace the maximum pixel value among neighboring pixels with the current pixel value, and can make small holes inside the object disappear. In a word, morphology operation can be used to remove noise through erosion operation, remove empty space within an object through expansion operation, and restore the reduced size of an object. At this time, Fig. 6 (a) is the original image before image processing, Fig. 6 (b) is the image after the erosion operation, Fig. 6 (c) is the image after the dilation operation, and Fig. 6 (d) is the erosion and The image after the dilation operation is illustrated.

Then, an outline is detected from the image from which the noise has been removed and the inside of the outline is filled. Since an unfilled circle is not captured by the circle detection algorithm as shown in (a) of FIG. 7 , an outline is detected in the binarized image and the empty space is filled with 1 values (255, 255, 255). Thereafter, it can be seen that the empty space of the female image is filled as shown in (b) of FIG. 7 .

Thereafter, a circle is detected from the image filled with the outline, and finally, a threshold value of binarization is corrected and an accurate circle is detected. Finally, when all of the pre-processing as described above is completed, a circle detection algorithm is applied to find the central point of the pupil. A Hough Transform is used as the circle detection algorithm. The Hough transform functions to detect whether an image has a circle by looking at the distribution of points. 8 is a diagram illustrating an image in which a circle is detected in the pupil. On the other hand, since image processing has many variables such as ambient light (noise), the position of the image, and the position of the shadow according to the user's face shape, even if a certain image processing process is always performed, different results may be obtained for each person. Therefore, it is necessary to extract the correct circle by correcting the threshold in the binarization process. A value exceeding the binarization threshold is converted to 255, and a value below the binarization threshold is converted to 0. This value can be changed in real time through a trackbar. At this time, as shown in FIG. 9 , it can be confirmed that the presence or absence of detection of the pupil is changed due to a change in the threshold value. Meanwhile, in FIG. 9(a), the threshold value is 262, in FIG. 9(b), the threshold value is 270, in FIG. 9(c), the threshold value is 275, and in FIG. 9(d), the threshold value is 285 is the case

10 to 13 are signal analysis graphs according to an embodiment of the present invention.

Prior to describing the present embodiment, the nystagmus test apparatus 100 for diagnosing benign sudden head vertigo is equipped with a pupil detection program, and data can be obtained from an eyeball image obtained by driving the program, and the obtained data After removing undetected pupil noise data through numerical analysis software, data can be derived. Meanwhile, the graphs of FIGS. 10 to 14 are all measured with the head placed to the left.

10 is a signal waveform of a patient with right-sided nystagmus. The Y-axis shows a relatively gentle shape, while the X-axis shows a regular waveform with a slow rise and a fast fall. 11 is a waveform of a patient with downward nystagmus. The X-axis draws an irregular waveform, while the Y-axis shows regular, fast rising and slow falling. According to the theory in Table 2 below, the presence or absence of otoliths in the right anterior semicircular canal can be inferred.

12 is a waveform of a patient having both downward nystagmus and left nystagmus. It can be seen that both the X-axis and Y-axis of the pupil regularly and rapidly ascend and slowly descend the ascending and descending vectors. 13 is a diagram showing the waveform of a normal person, and unlike the waveform of the nystagmus patient confirmed in FIGS. 10 to 12 , it can be seen that the waveform is smooth without any features in both the X-coordinate and the Y-coordinate. A summary of the waveform analysis results of the general public and patients with benign sudden head vertigo as shown in FIGS. 10 to 13 is shown in FIG. 14 .

14 is a graph showing characteristics of a waveform according to nystagmus according to an embodiment of the present invention.

As shown in FIG. 14 , when regular waveforms appear in the X coordinate indicating the left and right sides of the pupil, it is left and right nystagmus, and when regular waveforms appear in the Y coordinate, it is upper and lower nystagmus. In addition, it can be confirmed that the slope of the ascending curve is large in the case of upward or right-facing nystagmus, and the slope of the descending curve is greater in the case of downward or left-oriented nystagmus.

15 is a diagram illustrating the highest and lowest points detected in a patient with benign sudden head vertigo.

The benign sudden head position vertigo diagnosis algorithm uses the Y-coordinate data of the pupil to infer the direction of nystagmus of benign sudden head position vertigo. The regular waveform is classified from the Y-coordinate data of the pupil, and the lowest point (Low-peak) and the highest point (High-peak) of the classified waveform are detected. At this time, in order to infer whether the detected classification waveform is a nystagmus waveform, the lengths of a and b shown in FIG. 15 are compared. Since the pupil movement of nystagmus moves slowly and returns quickly, if the difference between the two lengths is small, it is difficult to distinguish it as a nystagmus waveform. That is, when the difference between the above two lengths is large, it can be determined as a waveform of nystagmus. At this time, the difference between the two lengths may be compared with a preset threshold value, and when the difference between the two lengths exceeds the threshold value, it may be determined as a waveform of nystagmus. Meanwhile, the difference between the above two lengths can be calculated according to Equation 1 below.

In addition, in order to infer the direction of nystagmus from the waveform determined as nystagmus, the slopes of a and b can be obtained through Equation 2 below.

At this time, if the slope of a is greater than the slope of b, it can be inferred as downward nystagmus, and if the slope of b is greater than a, it can be inferred as upward nystagmus.

16 is a schematic flowchart of an inspection method according to an embodiment of the present invention.

Referring to FIG. 16 , first, the nystagmus examination apparatus 100 acquires an image of the user's eyeball ( S1610 ). At this time, the nystagmus examination apparatus 100 includes an infrared camera including an infrared LED, a macro lens, and a sensor from which the infrared filter is removed, and the user's eye is photographed by the organic operation of these components to obtain an eye image. can

Next, the nystagmus examination apparatus 100 detects the pupil in the eyeball image, and collects the central coordinate data of the pupil (S1620). The nystagmus examination apparatus 100 specifies a region of interest from the acquired eye image, extracts a gray channel from the region of interest, extracts a binarized image from the gray channel, and morphology from the binarized image It is possible to remove noise through operation, detect an outline in the denoised binarized image, fill the inside of the outline, and detect a circle in the image in which the outline is formed. Also, the pupil detection unit 120 may correct a threshold value in binarization so that a circle is accurately detected.

Next, the nystagmus examination apparatus 100 collects data by determining the user's head position (S1630). The nystagmus test apparatus 100 may measure an angle using a three-axis gyro sensor and a three-axis acceleration sensor, and may collect data by determining a head position based on the degree of conversion of the angle.

Next, the nystagmus examination apparatus 100 determines whether there is an abnormality in the user based on the collected data (S1640). The nystagmus examination apparatus 100 determines whether there is an abnormality in the user based on the data collected by the pupil detection unit 120 and/or the head position determination unit 130 . The nystagmus test apparatus 100 is a benign sudden head position vertigo diagnosis algorithm including the nystagmus theory according to the Dix-hallpike test in the data collected through the head position determination unit 130 in the pupil detection unit 120 It can be applied to determine whether there is an abnormality in the user.

Methods according to an embodiment of the present invention may be implemented as an application or implemented in the form of program instructions that may be executed through various computer components and recorded in a computer-readable recording medium. The computer-readable recording medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the computer-readable recording medium are specially designed and configured for the present invention, and may be known and used by those skilled in the art of computer software. Examples of the computer-readable recording medium include a hard disk, a magnetic medium such as a floppy disk and a magnetic tape, an optical recording medium such as a CD-ROM, a DVD, and a magneto-optical medium such as a floppy disk. media) and hardware devices specially configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware device may be configured to operate as one or more software modules to perform processing according to the present invention, and vice versa.

While this specification contains many features, such features should not be construed as limiting the scope of the invention or the claims. Also, features described in individual embodiments herein may be implemented in combination in a single embodiment. Conversely, various features described in a single embodiment herein may be implemented in various embodiments individually, or may be implemented in appropriate combination.

Although operations have been described in a particular order in the drawings, it should not be understood that such operations are performed in the specific order as illustrated, or that all described operations are performed in a continuous sequence, or to obtain a desired result. Multitasking and parallel processing can be advantageous in certain circumstances. In addition, it should be understood that the division of various system components in the above-described embodiments does not require such division in all embodiments. The app components and systems described above may generally be implemented as a package in a single software product or multiple software products.

The present invention described above, for those of ordinary skill in the art to which the present invention pertains, various substitutions, modifications and changes are possible without departing from the technical spirit of the present invention. It is not limited by the drawings.

100: nystagmus test device
110: eye photographing unit
120: pupil detection unit
130: head position determination unit
140: abnormality determination unit
150: battery unit
160: power switch unit
170: port unit

Claims (15)

In the nystagmus test apparatus for diagnosing benign sudden head vertigo that is worn on a user's head and constitutes a pre-cancer environment,
an eyeball photographing unit to obtain an eyeball image by photographing the user's eyeball;
a pupil detection unit for detecting a pupil from the eye image;
Head position determination unit for determining the user's head posture; and
Including;
The head position determination unit,
The angle is measured using a 3-axis gyro sensor and a 3-axis acceleration sensor, and data is collected by determining the head position based on the degree of conversion of the angle,
The head position determination unit,
A nystagmus test apparatus for diagnosing benign sudden head vertigo, characterized in that noise is removed by using a complementary filter to reduce the drift phenomenon. The method of claim 1,
The eye photographing unit,
A nystagmus test device for diagnosing benign head position vertigo, comprising an infrared camera including an infrared LED, a macro lens, and a sensor from which the infrared filter is removed to photograph the user's eyeball. The method of claim 1,
The pupil detection unit,
Designate a region of interest in the acquired eye image, extract a gray channel from the region of interest, extract a binarized image from the gray channel, and remove noise through a morphology operation from the binarized image A nystagmus test apparatus for diagnosing benign sudden head-to-head vertigo, characterized by detecting an outline in the binarized image from which the noise is removed, and filling the inside of the outline, and detecting a circle in the image in which the outline is formed. 4. The method of claim 3,
The pupil detection unit,
Nystagmus test apparatus for diagnosing benign sudden head vertigo, characterized in that correcting a threshold value in binarization so that the circle is accurately detected. delete delete The method of claim 1,
The abnormality determination unit,
A nystagmus test apparatus for diagnosing benign sudden head position vertigo, characterized in that it determines the presence or absence of a user's abnormality by applying a benign sudden head position vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data. 8. The method of claim 7,
The abnormality determination unit,
Diagnosis of benign sudden head position vertigo, characterized in that the position of the otolith is determined according to the waveform of the signal to which the benign sudden head position vertigo diagnosis algorithm is applied, and the position of the otolith is determined based on the waveform of the signal according to the position of the head position nystagmus test device for A test method in a nystagmus test apparatus for diagnosing benign sudden head vertigo that is worn on a user's head and constitutes a pre-cancer environment, comprising:
obtaining, by the eyeball capturing unit, an image of the user's eyeballs;
detecting, by a pupil detection unit, a pupil in the eyeball image, and collecting central coordinate data of the pupil;
collecting, by the head position determination unit, data by determining the user's head position posture; and
Including, by the abnormality determination unit, whether the user is abnormal based on the collected data;
The step of collecting data by determining the head position of the user,
Measuring an angle using a 3-axis gyro sensor and a 3-axis acceleration sensor, and collecting data by determining a head position based on the degree of conversion of the angle,
The step of collecting data by determining the head position of the user,
and removing the noise using a complementary filter to reduce the drift phenomenon. 10. The method of claim 9,
The step of detecting the pupil in the eye image and collecting the central coordinate data of the pupil comprises:
designating a region of interest in the acquired eye image;
extracting a gray channel from the region of interest;
extracting a binarized image from the gray channel;
removing noise from the binarized image through a morphology operation;
detecting an outline in the binarized image from which the noise has been removed and filling the inside of the outline;
and detecting a circle in the image in which the outline is formed. 11. The method of claim 10,
The step of detecting a circle in the image in which the outline is formed,
and modifying a threshold in binarization so that the circle is accurately detected. delete delete 10. The method of claim 9,
The step of determining whether there is an abnormality of the user based on the collected data,
and determining whether the user has an abnormality by applying a benign sudden head vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data. 15. The method of claim 14,
The step of determining whether the user has an abnormality by applying the benign sudden head vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data,
and determining the position of the otolith according to the waveform of the signal to which the benign sudden head position vertigo diagnosis algorithm is applied, and determining the position of the otolith based on the waveform of the signal according to the position of the head position. Way.

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