KR20210004637A - Nystagmus test device and test method for the diagnosis of benign paroxysmal positional vertigo - Google Patents

Abstract

The present invention discloses a nystagmus test device and a test method for a diagnosis of benign paroxysmal positional vertigo. According to an aspect of the present invention, the nystagmus test device for diagnosing benign paroxysmal positional vertigo includes: an eyeball photographing unit configured to obtain an eyeball image by photographing a user′s eyeball; a pupil detection unit for detecting a pupil in the eye image; a paroxysmal posture determination unit for determining a user′s head posture; and an abnormality determination unit which determines whether the user has an abnormality based on data collected by the pupil detection unit and the paroxysmal posture determination unit. According to the present invention, it is possible to diagnose benign paroxysmal positional vertigo regardless of location using relatively inexpensive equipment.

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 a test method for diagnosing benign sudden cervical vertigo, and more particularly, a user can diagnose benign sudden cervical vertigo regardless of location using a cheaper nystagmus test device. It relates to a nystagmus test apparatus and test method for diagnosing vertigo of the head.

Benign Paraxysmal Positional Vertigo (BPPV), commonly referred to as dysukjeung in Korea, refers to a disease in which otolith released from the ovarian sac causes physiological changes in the semicircular duct, causing dizziness according to posture changes.

Such benign sudden vertigo of the head is characterized by characteristic clinical symptoms and a head transformation test such as Dix-hallpike using video-oculography, and accurate diagnosis is possible through characteristic postural nystagmus. It is 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 sides. At this time, the presence or absence of nystagmus is checked, and the presence or absence of otoliths in the front, rear, and horizontal semicircular canals according to the direction of nystagmus.

On the other hand, a patient suspected of dyslithosis should visit a specialized institution or hospital equipped with video nystagmus for diagnosis of dysplasia, as described above, and the video nystagmus test equipment is expensive. There are not many specialized institutions or hospitals, and there is a problem that restrictions depending on the location occur because the examination can only be performed by visiting a specialized institution or hospital equipped with equipment.

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

The present invention has been proposed in order to solve the above problems, and provides a nystagmus test apparatus and a test method for diagnosing benign sudden head vertigo that can diagnose benign sudden head vertigo regardless of location using a relatively inexpensive device. It has its purpose to provide.

Other objects and advantages of the present invention can be understood by the following description, and will be more clearly understood by an embodiment of the present invention. In addition, it will be easily understood that the objects and advantages of the present invention can be realized by the means shown in the claims and combinations thereof.

In order to achieve the above object, the nystagmus test apparatus for diagnosing benign sudden head vertigo that is worn on the user's head and constitutes a precancerous environment according to an aspect of the present invention to achieve the above object, is an eyeball for obtaining an eyeball image by photographing the user's eyeball. Photographing department; A pupil detector for detecting pupils in the eyeball image; A head position determination unit for determining the user's head position; And an abnormality determination unit configured to determine the user's abnormality based on the data collected by the pupil detection unit and the head position determination unit.

The eye 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 eye.

The pupil detector designates a region of interest from the acquired eyeball image, extracts a gray channel from the region of interest, extracts a binarized image from the gray channel, and performs a morphology from the binarized image. It is characterized in that noise is removed through calculation, an outline is detected from the binarized image from which the noise is removed, and an inside of the outline is filled, and a circle is detected from the image on which the outline is formed.

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

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

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

The abnormality determination unit is 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.

The abnormality determination unit determines the position of the ear stone 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 ear stone based on the waveform of the signal according to the position of the head position. do.

A test method in a nystagmus test apparatus for diagnosing benign sudden head vertigo that is worn on a user's head according to another aspect of the present invention to achieve the above object, comprising: acquiring an eyeball image of the user ; Detecting a pupil from the eyeball image and collecting central coordinate data of the pupil; Collecting data by determining a user's head posture; And determining whether the user has an abnormality based on the collected data.

The steps of detecting a pupil in the eyeball image and collecting central coordinate data of the pupil may include: designating a region of interest in the acquired 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 from the binarized image from which the noise has been removed and filling the inside of the outline; And detecting a circle in the image on which the outline is formed.

The step of detecting a circle in the outlined image may include modifying a threshold value in binarization so that the circle is accurately detected.

The step of determining the user's head posture and collecting data includes measuring an angle using a three-axis gyro sensor and a three-axis acceleration sensor, and determining the head posture based on the degree of conversion of the angle to collect data. It characterized in that it comprises a.

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

The step of determining the presence or absence of a user's abnormality based on the collected data includes applying a benign sudden head position vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data to determine the presence or absence of the user's abnormality. It characterized in that it comprises a step.

The step of determining the presence or absence of a user's abnormality by applying a benign sudden cervical vertigo diagnosis algorithm including the nystagmus theory according to the Dix-Hallpike test to the collected data may include: It characterized in that it comprises the step of determining the position of the yiseok, and determining the position of the yiseok based on the waveform of the signal according to the position of the head.

According to an aspect of the present invention, there is an effect that it is possible to diagnose benign sudden head vertigo without being restricted to a location using a relatively inexpensive device.

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 technical field to which the present invention belongs from the following description. .

The following drawings attached to the present specification illustrate preferred embodiments of the present invention, and serve to further understand the technical idea of the present invention along with specific details for carrying out the present invention. It should not be interpreted as being limited to the information described.
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 a 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 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 patients 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 connection with the accompanying drawings, whereby those of ordinary skill in the technical field to which the present invention pertains can easily implement the technical idea of the present invention. There will be. In addition, in describing the present invention, if it is determined that a detailed description of a known technology related to the present invention may unnecessarily obscure the subject matter of the present invention, a detailed description thereof will be omitted. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Throughout the specification, when a certain part "includes" a certain component, it means that other components may be further included rather than excluding other components unless otherwise stated. In addition, “… A term such as “sub” means a unit that processes at least one function or operation, which may be implemented by 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 test 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 worn or attached to a person's body, and refers to a device that can be worn on various body parts such as hands, arms, neck, ankles, neck, and torso. In this case, according to the present embodiment, the wearable device is preferably in the form of goggles that can be used on the face area including the eyes because it is necessary to grasp the nystagmus phenomenon occurring in the user.

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

Referring to FIG. 1, the nystagmus test apparatus 100 for diagnosing benign sudden head vertigo according to the present embodiment includes an eye photographing unit 110, a pupil detecting unit 120, a head position determining unit 130, and an abnormality determining unit Includes 140.

The eye photographing unit 110 acquires an eyeball image by photographing a user's eyeball. The eye photographing unit 110 includes an infrared camera including an infrared LED, a macro lens, and a sensor from which the infrared filter has been removed. The eye 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 the pupil from the eyeball image captured by the eye photographing unit 110. The pupil detector 120 designates a region of interest from the acquired eyeball 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, noise can be removed, an outline can be detected from a binarized image from which noise has been removed, an inside of the outline can be filled, and a circle can be detected from an image in which the outline is formed. In addition, the pupil detection unit 120 may modify the threshold value in binarization so that the circle is accurately detected. A more detailed description of a process in which the pupil detector 120 detects the pupil will be described later with reference to FIG. 2.

The head posture determination unit 130 determines the head posture of a user wearing the nystagmus test apparatus 100 and performing the nystagmus test. The head posture determination unit 130 may measure an angle using a three-axis gyro sensor and a three-axis acceleration sensor, and determine the head posture based on the degree of conversion of the angle to collect data. According to this embodiment, the head posture determination unit 130 may measure an angle of -180 degrees to 180 degrees on the X, Y, and Z axes using a three-axis gyro sensor and a three-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, and at this time, the head position determination unit 130 applies Table 1 to the position of lying down using the Y-axis angle. The case can be determined and the left and right head-to-head transformation can be determined using the X-axis. As a result of the determination, a total of three postures can be determined when lying down, determining the left and right head positions, and when sitting and when lying down and not converting the left and right head positions.

The presence or absence of an abnormality determination unit 140 determines the presence or absence of an abnormality of the user based on the data collected by the pupil detection unit 120 and/or the head position determination unit 130. The presence/absence of abnormality determination unit 140 is a positive and 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 Can be applied to determine the user's abnormality. The Dix-hallpike test is a method of examining the presence or absence of otoliths in the anterior and posterior semicircular canals.If the head is maintained in the hallpike position (head dropping down the bed) on the side of the pathological symptom This is a test method that detects and diagnoses nystagmus due to the occurrence of lymph flow within the semicircular tube as the floating lime floats fall in the direction of gravity. The abnormality determination unit 140 may determine the position of the ear stone according to the waveform of the signal to which the benign and sudden head position vertigo diagnosis algorithm is applied, but may determine the position of the ear stone based on the waveform of the signal according to the position of the head position. . 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 an orthodontic eye movement that appears to correct an image of an object that is deviated from the center of the retina due to an abnormality of not only the peripheral vestibular system but also various ocular movement systems including the cerebrum. In other words, when an abnormality occurs in the eye movement system, the eyeball cannot stay in the desired position and the image of the object deviates from the central concave, and the eye movement that occurs to correct this is called nystagmus. At this time, it is possible to determine the cause of the dizziness occurring in the user from the nystagmus. Such nystagmus can appear in a wide variety of patterns, but it is classified into nystagmus and saccadic oscillation depending on whether the eye movement deviating from the gaze point is slow eye movement or saccadic oscillation. Physiological nystagmus includes Per-Rotatory Nystagmus and Optokinetic Nystagmus, which work to keep the image of an object constant while the body rotates. Spontaneous Nystagmus) and Induced Nystagmus can be distinguished. 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 test 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 be configured with 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 power of the device.

The port unit 170 is provided on an external side of the device to connect the device to 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, the battery unit 150 may be charged by connecting to an external power terminal.

According to this embodiment, for the diagnosis of benign sudden head vertigo, the user wears the nystagmus test device 100 in the form of goggles on the head, and the nystagmus test device 100 takes an eyeball image, and the photographed eyeball image is an OpenCV image. The pupil is detected through conversion from the RGB channel to the Gray channel using a processing library, and the center coordinate data of the pupil is collected. In addition, a 3-axis gyro and/or an acceleration sensor is used to convert the angle into an angle through a complementary filter, and the head position is determined through the converted angle to collect data. Thereafter, using the collected data, the presence or absence of a user's abnormality is determined by applying an algorithm for diagnosing benign sudden head vertigo using the nystagmus theory according to the Dix-Hallpike test. On the other hand, the complement of the complementary filter is complementary, meaning complementary, and is a filter for obtaining a better result by compensating for the gap between the gyro and the acceleration. Before using the complementary filter, the angle can be obtained by integrating the gyro data with the data and the degree of movement at the beginning.This is a drift phenomenon that differs from the actual value as the value accumulates through the integration because the data under the decimal point is discarded. . Complementary filter is a filter to obtain an ideal result by combining a gyro sensor that can trust the average value, but the average value is accurate, and an acceleration sensor whose average value is unreliable.

Meanwhile, in the description of the present embodiment, the above-described components are described as operating individually, but are not limited thereto, and may be controlled by a controller (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 illustrating a pupil detection process according to an embodiment of the present invention.

Referring to FIG. 2, first, the nystagmus test apparatus 100 acquires an eyeball image by photographing a user's eyeball. In the anterior segment image, the eye area 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 the color of the pupil. In order to solve this problem, an image as shown in FIG. 3 is obtained 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 be slowed down. Accordingly, it is desirable to reduce the image processing range and detect the pupil more efficiently by setting only the anterior segment of the image as the region of interest. 4 is a diagram illustrating an example in which an ROI is designated.

Then, the Gray channel is extracted from the designated region of interest, and the binarized image is extracted from the Gray channel. Converts the acquired RGB image to a gray channel for binarization. The image converted to the gray channel is binarized. 5 is a result of binarization in an image in which a region of interest is designated. If only binarization is performed, it can be seen that there are many noises. 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 of viewing and approaching an image from a morphological point of view. It is mainly used to remove noise from an image. It uses erode and dilate as morphology operations. Erosion is replacing the minimum pixel value of the neighboring pixels with the current pixel value, and may cause an object of small noise to disappear. The expansion replaces the maximum pixel value of the neighboring pixels with the current pixel value, and small holes in the object may disappear. In a word, morphology operation can be used to remove noise through erosion calculation, remove empty space in an object through expansion calculation, and recover the size of a reduced object. At this time, Figure 6 (a) is the original image before image processing, Figure 6 (b) is the image after erosion calculation, Figure 6 (c) is the image after expansion calculation, and Figure 6 (d) is erosion and The image after the expansion operation is illustrated.

Thereafter, the outline is detected from the image from which noise is removed, and the inside of the outline is filled. Since an unfilled circle as shown in FIG. 7A is not detected by the circle detection algorithm, an outline is detected in the binarized image and the empty space is filled with 1 value (255, 255, 255). After that, it can be seen that the empty space of the filter image is filled as shown in (b) of FIG. 7.

Thereafter, the circle is detected from the image filled with the outline, and finally, the threshold of binarization is corrected, and the correct circle is adjusted to be detected. Finally, after all of the preprocessing described above, a circle detection algorithm is applied to find the central point of the pupil. As the original detection algorithm, Hough Transform is used. The Hough transform functions to detect whether there is a circle in the image by looking at the distribution of points. 8 shows an image of detecting a circle in the pupil. Meanwhile, 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, different results may be produced for each person even if a certain image processing process is always performed. Therefore, a process of extracting an accurate circle by modifying the threshold in the binarization process is required. The value exceeding the binarization threshold value is converted to 255, and the value below is converted to 0. This value can be changed in real time through a trackbar. In this case, as shown in FIG. 9, it can be confirmed that whether or not the pupil is detected is changed due to the change in the threshold value. Meanwhile, (a) of FIG. 9 has a threshold of 262, (b) of FIG. 9 has a threshold of 270, (c) of FIG. 9 has a threshold of 275, and (d) of FIG. 9 has a threshold of 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, so that data can be acquired from an eyeball image obtained by driving this program, and the acquired data After removing the undetected pupil noise data through the numerical analysis software, the data can be derived. On the other hand, the graphs of FIGS. 10 to 14 are all measured with the head left to the left.

10 is a signal waveform of a patient with right nystagmus. While the Y-axis shows a relatively gentle shape, the X-axis rises slowly and falls quickly, and you can see a regular waveform. 11 is a waveform of a patient with downward nystagmus. The X-axis draws irregular waveforms, while the Y-axis is regular and rises quickly and falls slowly. According to the theory in Table 2 below, it is possible to infer the presence or absence of otoliths in the right anterior hemi-ring tube.

12 is a waveform of a patient with downward nystagmus and left nystagmus at the same time. Both the ascending and downward vectors of the pupil in the X-axis and Y-axis regularly rise rapidly and slowly descend. 13 shows a waveform of a general person, and unlike the waveforms of the nystagmus patients identified in FIGS. 10 to 12, it is possible to confirm a gentle appearance without features in both the X and Y coordinates. 14 is a summary of the waveform analysis results of the general public and the benign sudden head vertigo patients as described in FIGS. 10 to 13.

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, in the X coordinate representing the left and right of the pupil, when a regular waveform appears, it is left and right nystagmus, and when a regular waveform appears in the Y coordinate, it is upper and lower nystagmus. In addition, in case of upward or right nystagmus, the slope of the rising curve is large, and in case of downward or left nystagmus, the slope of the descending curve is larger.

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

The algorithm for diagnosing benign sudden head vertigo uses the Y-coordinate data of the pupil to infer the nystagmus direction of the benign sudden vertigo. It classifies a regular waveform from the pupil's Y-coordinate data, and detects the low-peak and high-peak of the classified waveform. At this time, the lengths a and b shown in FIG. 15 are compared to infer whether the detected classification waveform is a nystagmus waveform. 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 from the waveform of nystagmus. That is, when the difference between the two lengths is large, it can be determined as a waveform of nystagmus. In this case, 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 two lengths described above 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.

In this case, 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 test apparatus 100 acquires an eyeball image of a user (S1610). At this time, the nystagmus inspection apparatus 100 includes an infrared camera including an infrared LED, a macro lens, and a sensor from which the infrared filter has been removed, and captures the user's eye by an organic operation of these components to obtain an eyeball image. I can.

Next, the nystagmus test apparatus 100 detects the pupil from the eyeball image and collects central coordinate data of the pupil (S1620). The nystagmus test apparatus 100 designates a region of interest from the acquired eyeball image, extracts a gray channel from the region of interest, extracts a binarized image from the gray channel, and performs a morphology from the binarized image. Noise is removed through calculation, an outline is detected from a binarized image from which noise is removed, an inside of the outline is filled, and a circle can be detected from an image in which the outline is formed. In addition, the pupil detection unit 120 may modify the threshold value in binarization so that the circle is accurately detected.

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

Next, the nystagmus test apparatus 100 determines whether there is an abnormality in the user based on the collected data (S1640). The nystagmus test apparatus 100 determines the presence or absence of 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 detection unit 100 includes a benign sudden cervical vertigo diagnosis algorithm including the nystagmus theory according to the Dix-hallpike test in the data collected through the head position determination unit 130. It can be applied to determine the user's abnormality.

The methods according to the embodiments of the present invention may be implemented as an application or implemented in the form of program instructions that can 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 in the computer-readable recording medium may be specially designed and configured for the present invention, and may be known and usable to those skilled in the computer software field. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magnetic-optical media such as floptical disks. 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 produced 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 includes many features, such features should not be construed as limiting the scope or claims of the invention. In addition, features described in separate embodiments of the present specification may be combined and implemented in a single embodiment. Conversely, various features described in a single embodiment of the present specification may be individually implemented in various embodiments, or may be properly combined and implemented.

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

The present invention described above is capable of various substitutions, modifications, and changes without departing from the technical spirit of the present invention for those of ordinary skill in the technical field to which the present invention belongs. 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 part
160: power switch unit
170: port part

Claims (15)

In the nystagmus test device for diagnosing benign sudden head vertigo that is worn on the user's head to constitute a precancerous environment,
An eye photographing unit that captures an eyeball image of a user to obtain an eyeball image;
A pupil detector for detecting pupils in the eyeball image;
A head position determination unit for determining the user's head position; And
A nystagmus test apparatus for diagnosing benign sudden cervical vertigo comprising; an abnormality determination unit for determining the presence or absence of an abnormality of the user based on the data collected by the pupil detection unit and the head position determination unit. The method of claim 1,
The eye photographing unit,
A nystagmus test device for diagnosing benign sudden head vertigo, comprising an infrared camera including an infrared LED, a macro lens, and a sensor from which an infrared filter has been removed, and photographing the user's eye. The method of claim 1,
The pupil detection unit,
Designate a region of interest from the acquired eye image, extract a gray channel from the region of interest, extract a binarized image from the gray channel, and reduce noise through a morphology operation from the binarized image. A nystagmus test apparatus for diagnosing benign sudden cervical vertigo, comprising removing and detecting an outline from the binarized image from which the noise is removed, filling the inside of the outline, and detecting a circle from the outlined image. The method of claim 3,
The pupil detection unit,
A 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. The method of claim 1,
The head posture determination unit,
A nystagmus test apparatus for diagnosing benign sudden head vertigo, characterized in that the angle is measured using a three-axis gyro sensor and a three-axis acceleration sensor, and the head position is determined based on the degree of conversion of the angle to collect data. The method of claim 5,
The head posture determination unit,
A nystagmus test apparatus for diagnosing benign sudden head vertigo, characterized in that noise is removed using a complementary filter to reduce drift. The method of claim 1,
The abnormality determination unit,
A nystagmus test apparatus for diagnosing benign sudden cervical vertigo, characterized in that it determines the presence or absence of a user's abnormality by applying a benign sudden cervical vertigo diagnosis algorithm including nystagmus theory according to the Dix-Hallpike test to the collected data. The method of claim 7,
The abnormality determination unit,
Benign sudden head position vertigo diagnosis, characterized in that the position of the tooth stone 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 tooth stone is determined based on the waveform of the signal according to the position of the head position. Device for nystagmus. In the test method in the nystagmus test device for the diagnosis of benign sudden head vertigo that is worn on the user's head and constitutes a precancerous environment,
Obtaining a user's eye image;
Detecting a pupil from the eyeball image and collecting central coordinate data of the pupil;
Collecting data by determining the user's head posture; And
And determining whether or not a user is abnormal based on the collected data. The method of claim 9,
Detecting the pupil from the eyeball image and collecting the central coordinate data of the pupil,
Designating a region of interest in the acquired 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 from the binarized image from which the noise has been removed and filling the inside of the outline;
And detecting a circle in the image on which the outline is formed. The method of claim 10,
The step of detecting a circle in the outlined image,
And modifying a threshold in binarization so that the circle is accurately detected. The method of claim 9,
The step of collecting data by determining the head posture of the user,
And collecting data by measuring an angle using a 3-axis gyro sensor and a 3-axis acceleration sensor, and determining a head posture based on the degree of conversion of the angle. The method of claim 12,
The step of collecting data by determining the head posture of the user,
And removing noise by using a complementary filter to reduce drift. The method of claim 9,
The step of determining whether a user is abnormal based on the collected data,
And determining 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. The method of claim 14,
The step of determining whether a user has abnormalities by applying a 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 ear stone 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 ear stone based on the waveform of the signal according to the position of the head position. Way.

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