KR101748491B1

KR101748491B1 - Method and System for Pure Tone Audiometry based on spontaneous EGO

Info

Publication number: KR101748491B1
Application number: KR1020150115306A
Authority: KR
Inventors: 박성훈; 임정환; 한창희; 임창환; 김도원
Original assignee: 한양대학교 산학협력단
Priority date: 2015-07-16
Filing date: 2015-08-17
Publication date: 2017-06-19
Also published as: KR20170009666A

Abstract

A hearing test method and system based on spontaneous ocular conduction are presented. The spontaneous ocular conduction-based hearing test method proposed in the present invention includes a step of measuring an ocular conduction signal using a subject's spontaneous eye movement according to a sound stimulus moving in space, a pre-processing of adjustment and filtering of the measured ocular conduction signal And performing a cross-correlation analysis of the ocular conduction signal after the pre-processing.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and system for audiometry based on spontaneous ocular conduction,

The present invention relates to an ocular conduction-based auditory examination method and system using spontaneous eye movement phenomenon when a moving sound is heard.

A hearing test is a test that evaluates the ability of a subject to hear the sound. The hearing test will check the subject's hearing loss, the degree of hearing, the type of disease and lesion site. The most basic hearing test method is a hearing test method using.

In the case of patients with hearing impairment, the frequency range of perceptible sound is narrower than that of a normal person, and a stronger sound intensity is required even if the sound of the same frequency is heard.

Hearing test is the most basic test of hearing test. The hearing test can determine the degree of hearing loss of the individual and the presence or absence of the hearing transmission path. Conventional audiometry generates an electric signal to check whether the subject perceives the given sound while adjusting the intensity of the sound at each frequency. When the subject hears a sound, raise the hand or press the button to let the indicator know whether it is a sound.

The hearing test method should be able to accurately determine whether a subject perceives a given sound in order to judge the degree of hearing of the subject. However, the existing hearing test method has a limit in that subject subjective judgment can intervene in the process of confirming whether the subject is a sound or not. The intervention of the subject's subjective judgment during the sound confirmation process serves as a factor to decrease the diagnostic accuracy of the hearing test method.

Disclosure of Invention Technical Problem [8] The present invention provides a method and system for audiovisual testing based on ocular conduction using a phenomenon that spontaneous eye movement occurs when a moving sound stimulus is given.

According to one aspect of the present invention, there is provided a spontaneous ocular conduction-based hearing test method, comprising: measuring an ocular conduction signal using spontaneous eye movements of a subject according to a sound stimulus moving in a space; Performing pre-processing of adjustment and filtering, and performing cross-correlation analysis of the ocular conduction signal through the preprocessing step.

The step of measuring an ocular conduction signal using a subject's spontaneous eye movement according to a sound stimulus moving in space includes the steps of providing the subject with a sound stimulus moving in a space having a sine wave type sound source having a different phase with respect to time, And measuring the subject's spontaneous eye movement with respect to a sound stimulus moving in the space.

The sound source of the sound stimulus moving in the space sequentially moves to a predetermined number of azimuths with time.

The sound stimuli moving in the space use a plurality of sound stimuli that are divided at regular intervals in an area considering the audible frequency range.

The pre-processing of adjustment and filtering of the measured ocular conduction signal may include applying a baseline correction method to remove DC component noise in the ocular conduction signal, removing power noise from the ocular conduction signal, A band-pass filter including a frequency component of a sound source of a sound stimulus moving in the space for extracting the ocular conduction signal generated by a sound stimulus generated in the space, .

Wherein the step of performing the cross-correlation analysis of the ocular conduction signal through the preprocessing step comprises performing the cross-correlation analysis between a sine wave including a component of a sound stimulus moving in the space and an ocular conduction signal through the pre- And selects the maximum cross-correlation efficiency among the correlation analysis results to determine whether the subject is a sound or not.

The method for calculating the cross-correlation efficiency to select the maximum cross-correlation efficiency uses the following equation,

Here, f represents the measured eye conduction signal and g represents the sound signal source.

According to another aspect of the present invention, a spontaneous ocular conduction-based hearing examination system proposed by the present invention includes an ocular conduction signal measuring unit for measuring an ocular conduction signal using spontaneous eye movement of a subject according to a sound stimulus moving in space, And a cross-correlation analyzing unit for performing a cross-correlation analysis of the ocular conduction signal through the preprocessing process.

The eye conduction signal measuring unit provides the subject with a sound stimulus moving in a space having a sine wave type sound signal source having a different phase with respect to time and measures a spontaneous eye movement of the subject with respect to a sound stimulus moving in the provided space .

The ocular conduction signal measuring unit sequentially moves the sound signal sources of the sound stimuli moving in the space to a predetermined number of azimuths with time.

The eye conduction signal measuring unit divides the sound stimuli moving in the space into a plurality of sound stimuli by dividing the sound stimuli in the space in consideration of the audible frequency range.

Wherein the pre-processor comprises: a baseline correction for removing DC component noise from the ocular conduction signal; a band-stop filter for removing power supply noise from the ocular conduction signal; A band-pass filter including a frequency component of a sound signal source of a sound stimulus moving in the space for extracting a signal is applied.

Wherein the cross-correlation analyzing unit performs the cross-correlation analysis between a sine wave including a component of a sound stimulus moving in the space and an eye conduction signal that has undergone the preprocessing, selects a maximum cross-correlation efficiency among the cross- Determine whether the subject is a voice or not.

According to the embodiments of the present invention, it is possible to objectively determine whether or not the subject perceives a given sound by using spontaneous ocular conduction generated by moving sound stimulus, unlike the conventional auditory examination method.

1 is a flowchart illustrating a spontaneous ocular conduction-based hearing test method according to an embodiment of the present invention.
2 is a flowchart illustrating a process of measuring an ocular conduction signal according to an embodiment of the present invention.
FIG. 3 is a view for explaining an experimental environment of the auditory examination method using a moving sound stimulus according to an embodiment of the present invention.
4 is a view for explaining a preprocessing process according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating a configuration of a spontaneous ocular conduction-based auditory examination system according to an embodiment of the present invention.
6 is a diagram illustrating an averaged ocular conduction signal based on a simulation tag according to an embodiment of the present invention.
7 is a diagram illustrating a result of a cross-correlation analysis according to an embodiment of the present invention.

The proposed spontaneous ocular conduction-based hearing test method and system is related to ocular conduction-based hearing test method and system using spontaneous ocular movement phenomenon when moving sound is heard. The conventional hearing test method has a disadvantage in that subject's subjective judgment is involved in the process of checking whether the subject perceives the sound. In the present invention, whether or not the subject's voice is objectively detected using the eye movement phenomenon spontaneously generated in the moving sound We propose a hearing test method and system that can be evaluated. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a flowchart illustrating a spontaneous ocular conduction-based hearing test method according to an embodiment of the present invention.

The conventional hearing test confirms that the subject perceives a given sound based on the subject's subjective response (eg, lifting a hand or pressing a button). Accordingly, the present invention proposes a method of auditory examination based on ocular conduction, using a phenomenon that spontaneous eye movement occurs when a moving sound stimulus is given.

The proposed spontaneous ocular conduction-based hearing test method comprises measuring (110) an ocular conduction signal using a subject's spontaneous eye movement according to a sound stimulus moving in the space (110), pre-processing the adjustment and filtering of the measured ocular conduction signal A step 120 of performing a pre-processing process, and a step 130 of performing a cross-correlation analysis of an ocular conduction signal through the preprocessing process.

In step 110, the ocular conduction signal can be measured using the subject's spontaneous eye movement in response to a sound stimulus moving in space. At this time, it is possible to provide the subject with a sound stimulus moving in a space having a sine wave type sound source having a different phase with respect to time, and to measure the subject's spontaneous eye movement with respect to a sound stimulus moving in the space. The step of measuring the ocular conduction signal using the voluntary eye movements of the subject according to the sound stimulus moving in the space will be described in more detail with reference to Fig.

2 is a flowchart illustrating a process of measuring an ocular conduction signal according to an embodiment of the present invention.

The process of measuring an ocular conduction signal according to an embodiment of the present invention includes providing (111) a sound stimulus to a subject moving on a space having a sine wave type sound source having a different phase with respect to time, And measuring 112 the voluntary eye movement of the subject relative to the sound stimulus.

In step 111, a sound stimulus is given to the subject which moves on a space having a sound signal source in the form of a sine wave having a different phase with respect to time. For example, a subject hears a moving circular motion in space through a headphone or an earpiece during a hearing test. At this time, the subject is instructed to concentrate on the presented sound stimuli with the eyes closed.

The sound source of the sound stimulus moving in the space sequentially moves to a predetermined number of azimuths with time. The sound stimuli moving in the space use a plurality of sound stimuli that are divided at regular intervals in an area considering the audible frequency range.

In other words, the subject can be provided with a sound stimulus moving in three dimensional space through the stereo headset with the eyes closed. Sound stimuli that move in this three-dimensional space can make the subject feel as if the sound is rotating. The subject's eyes, which are provided with sound stimuli that move in a three-dimensional space, thus move spontaneously.

In step 112, the subject's spontaneous eye movement is measured for a sound stimulus that is moving in the space. For example, as a method for measuring the voluntary eye movement of a subject, a method of acquiring a horizontal component ocular conduction signal and a longitudinal component ocular conduction signal from the electrode on the skin around the eye of the subject while the auditory examination is performed can be used. The process of measuring the ocular conduction signal according to one embodiment will be described in more detail with reference to FIG.

FIG. 3 is a view for explaining an experimental environment of the auditory examination method using a moving sound stimulus according to an embodiment of the present invention.

FIG. 3 shows an example of a hearing test method using the moving sound stimulus proposed in the present invention. During the hearing test, the subject hears the moving in a circular form through the headphone or the insert earphone. At this time, the subject is instructed to concentrate on the presented sound stimuli with the eyes closed.

Referring to FIG. 3, the subject wears earphones 311 and 312 for auditory examination on both ears. Then, one or more electrodes 321, 322 may be attached to measure the movement of the eye relative to the provided moving sound stimulus. One electrode may serve as an electrode for providing a reference and the other electrode may serve as an active electrode for measuring movement of the pupil. The position of attachment of the electrode shown in Fig. 3 is not limited to the embodiment, and only one electrode may be attached. The electrodes can be attached to the sides of the subject's eyes and to the side and the subject's eye movement can be measured according to the frequency of the moving sound stimulus.

The sound stimulus used for the test is set so that the phase of the sound signal source varies with time and moves in a circular shape in the space. For example, the sound source used in the present invention is set to move sequentially in 24 azimuths over time. In the present invention, a total of 13 sound stimuli were generated at intervals of 1,000 Hz from 8,000 to 20,000 Hz in consideration of the audible frequency range that can be heard by a normal person. The generated sound source was presented for 10 seconds at a rate of 120 degrees / sec. Thirteen stimuli were presented three times, 39 times in total. During the audiometry, horizontal and vertical component ocular conduction signals were obtained from the two electrodes attached to the skin around the subject 's eye.

Referring again to FIG. 1, in step 120, pre-processing of adjustment and filtering of the measured ocular conduction signal may be performed.

A pre-processing step of adjusting and filtering the measured ocular conduction signal includes a baseline correction for removing DC component noise from the ocular conduction signal, a band-stop filter for removing power source noise from the ocular conduction signal, A band-pass filter including a frequency component of a sound signal source of a sound stimulus moving in the space for extracting the ocular conduction signal generated by a sound stimulus moving on the subject can be applied. This will be described in more detail with reference to FIG.

4 is a view for explaining a preprocessing process according to an embodiment of the present invention.

The preprocessing of the adjustment and filtering of the measured ocular conduction signal comprises applying 121 a baseline correction method for removing DC component noise in the ocular conduction signal, Applying a band-stop filter (122), applying a band-pass filter comprising a frequency component of a sound signal source of a sound stimulus moving in the space for extracting the ocular conduction signal generated by a sound stimulus generated in the space, (Step < RTI ID = 0.0 > 123) < / RTI >

In step 121, a baseline correction method may be applied to remove DC component noise in the ocular conduction signal. For example, in the present invention, a baseline correction method for removing 60 Hz power supply noise is applied.

In step 122, a band-stop filter may be applied to remove power supply noise in the ocular conduction signal. For example, in the present invention, a band-stop filter with a cutoff frequency of 59 to 61 Hz was applied to remove the 60 Hz power supply noise.

In step 123, a band-pass filter may be applied that includes a frequency component of a sound source of sound stimuli moving in the space for extracting the ocular conduction signal generated by sound stimuli moving in the space.

For example, in the present invention, in order to extract an ocular conduction signal generated by a moving sound stimulus, there is a cutoff frequency of 0.05 to 1 Hz including a frequency (1/3 Hz) component of a moving sound source A band-pass filter was applied.

Referring again to FIG. 1, in step 130, a cross-correlation analysis of the ocular conduction signal that has undergone the preprocessing process can be performed.

Performing the cross-correlation analysis between a sine wave including a component of a sound stimulus moving in the space and an ocular conduction signal that has undergone the preprocessing, and selecting a maximum cross-correlation efficiency among the cross- You can decide.

For example, in the present invention, a cross-correlation analysis was performed between a 1/3 Hz sine wave having a sound stimulus component and a signal-processed eye conduction signal, and a cross- correlation analysis, the maximum cross-correlation coefficient was selected. The cross-correlation coefficient was calculated using Equation (1).

Equation 1

Where f is the measured ocular conduction signal and g is the moving sound source. And calculates the similarity with the measured ocular conduction signal (f) while moving the moving sound source (g) by a predetermined time interval (?). And selects the largest value among the cross-correlation coefficients obtained through the calculation. Then, the size of the selected cross-correlation coefficient value is checked to determine whether or not it is the subject's voice.

In the present invention, in order to observe whether or not spontaneous eye movement occurs due to a moving sound stimulus, a total of 39 sound stimuli are divided into three stages of easy (8,000 ~ 13,000 Hz), hard (14,000 ~ 17,000 Hz) and inaudible . We also observed the average signal of the ocular conduction signals generated by the sound stimuli of each group.

FIG. 5 is a diagram illustrating a configuration of a spontaneous ocular conduction-based auditory examination system according to an embodiment of the present invention.

The spontaneous ocular conduction-based hearing test system 500 according to the present embodiment may include a processor 510, a bus 520, a network interface 530, a memory 540 and a database 550. The memory 540 may include an operating system 541 and a hearing test routine 542. The processor 510 may include an ocular conduction signal measuring unit 511, a preprocessing unit 512, and a cross correlation analyzing unit 513. [ In other embodiments, the spontaneous ocular conduction-based audiometry system 500 may include more components than the components of FIG. However, there is no need to clearly illustrate most prior art components. For example, the spontaneous ocular conduction-based hearing test system 500 may include other components such as a display or a transceiver.

The memory 540 may be a computer-readable recording medium and may include a permanent mass storage device such as a random access memory (RAM), a read only memory (ROM), and a disk drive. The memory 540 may also store program code for the operating system 541 and the hearing test routine 542. [ These software components may be loaded from a computer readable recording medium separate from the memory 540 using a drive mechanism (not shown). Such a computer-readable recording medium may include a computer-readable recording medium (not shown) such as a floppy drive, a disk, a tape, a DVD / CD-ROM drive, or a memory card. In other embodiments, the software components may be loaded into the memory 540 via the network interface 530 rather than from a computer readable recording medium.

The bus 520 may enable communication and data transfer between components of the spontaneous ocular conduction-based audiometry system 500. The bus 520 may be configured using a high-speed serial bus, a parallel bus, a Storage Area Network (SAN), and / or any other suitable communication technology.

The network interface 530 may be a computer hardware component for connecting the spontaneous ocular conduction-based hearing test system 500 to a computer network. The network interface 530 may connect the spontaneous ocular conduction-based audiometry system 500 to the computer network via a wireless or wired connection.

The database 550 may serve to store and maintain all information necessary for a hearing test based on spontaneous ocular conduction. In FIG. 5, a database 550 is built in the spontaneous ocular conduction-based auditory examination system 500, but the present invention is not limited thereto and may be omitted depending on the system implementation method or environment, It is also possible that some databases exist as external databases built on separate, separate systems.

The processor 510 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input / output operations of a spontaneous ocular conduction-based audiometry system 500. The instructions may be provided by the memory 540 or the network interface 530 and to the processor 510 via the bus 520. The processor 510 may be configured to execute program codes for the ocular conduction signal measuring unit 511, the preprocessing unit 512, and the cross correlation analyzing unit 513. [ Such program code may be stored in a recording device such as memory 540. [

The ocular conduction signal measuring unit 511, the preprocessing unit 512 and the cross correlation analyzing unit 513 may be configured to perform the steps 110 to 130 of FIG.

The spontaneous ocular conduction-based hearing examination system 500 may include an ocular conduction signal measuring unit 511, a preprocessing unit 512, and a cross-correlation analyzing unit 513.

The ocular conduction signal measuring unit 511 measures the ocular conduction signal using the subject's spontaneous eye movement according to the sound stimulus moving in the space.

The ocular conduction signal measuring unit 511 provides the subject with a sound stimulus moving in a space having a sine wave type sound signal source having a different phase with respect to time. Then, the subject's spontaneous eye movements with respect to sound stimuli moving in the provided space are measured.

For example, a subject hears a moving circular motion in space through a headphone or an earpiece during a hearing test. At this time, the subject is instructed to concentrate on the presented sound stimuli with the eyes closed.

Then, the subject's spontaneous eye movements with respect to sound stimuli moving in the space are measured. For example, as a method for measuring the voluntary eye movement of a subject, a method of acquiring a horizontal component ocular conduction signal and a longitudinal component ocular conduction signal from the electrode on the skin around the eye of the subject while the auditory examination is performed can be used.

The preprocessing unit 512 preprocesses the adjustment and filtering of the measured ocular conduction signal.

The pre-processor 512 may include a baseline correction for removing direct current component noise from the ocular conduction signal, a band-stop filter for removing power source noise from the ocular conduction signal, A band-pass filter including a frequency component of a sound source of a sound stimulus moving in the space for extracting an ocular conduction signal is applied.

The pre-processor 512 may apply a baseline correction method to remove DC component noise from the ocular conduction signal. For example, in the present invention, a baseline correction method for removing 60 Hz power supply noise is applied.

In addition, a band-stop filter for removing power supply noise from the eye conduction signal can be applied. For example, in the present invention, a band-stop filter with a cutoff frequency of 59 to 61 Hz was applied to remove the 60 Hz power supply noise.

Finally, it is possible to apply a band-pass filter including a frequency component of a sound signal source of a sound stimuli moving in the space for extracting the ocular conduction signal generated by sound stimuli moving in the space.

The cross-correlation analyzing unit 513 performs a cross-correlation analysis of the ocular conduction signal that has undergone the preprocessing process.

The cross-correlation analyzing unit 513 performs the cross-correlation analysis between a sine wave including a component of a sound stimulus moving in the space and an eye conduction signal that has undergone the preprocessing, and selects a maximum cross- And determines whether or not the sound of the subject is sound.

For example, in the present invention, a cross-correlation analysis was performed between a 1/3 Hz sine wave having a sound stimulus component and a signal-processed eye conduction signal, and a cross- correlation analysis, the maximum cross-correlation coefficient was selected. The cross-correlation coefficient was calculated using Equation (1) above.

In Equation (1), f represents the measured ocular conduction signal, and g represents a moving sound source. And calculates the similarity with the measured ocular conduction signal (f) while moving the moving sound source (g) by a predetermined time interval (?). And selects the largest value among the cross-correlation coefficients obtained through the calculation. Then, the size of the selected cross-correlation coefficient value is checked to determine whether or not it is the subject's voice.

6 is a diagram illustrating an averaged ocular conduction signal based on a simulation tag according to an embodiment of the present invention.

We performed the proposed ocular conduction - based audiometry on a normal subject. While the subjects were concentrating on a total of 13 moving sound stimuli (8,000 ~ 20,000 Hz), the ocular conduction signal was measured to estimate the sound of the subject.

Referring to FIG. 6, an average eye conduction signal for each group is shown based on stimulation tags easy, hard, and inaudible. The present results show that when a moving sound stimulus is presented to a subject, a spontaneous ocular conduction signal is generated according to a moving sound stimulus. The measured ocular conduction signal is generated as a sine wave of a specific frequency according to the movement path of the sound stimulus presented to the subject. This type of ocular conduction signal pattern can confirm that the subject moved the eyeball in the form of a circular pattern along with the recognized sound stimulus. Also, it can be seen that the pattern of spontaneous ocular conduction signal decreases as the frequency of the proposed sound stimulus increases.

7 is a diagram illustrating a result of a cross-correlation analysis according to an embodiment of the present invention.

FIG. 7A is a graph showing an average cross-correlation coefficient by frequency. FIG. FIG. 7B is a graph showing an average cross-correlation coefficient for each stimulation tag.

Referring to FIG. 7A, it can be seen that the average cross-correlation coefficient decreases as the sound stimulus presented to the subject increases. These results indicate that as the sound stimuli that are difficult to be perceived by the subject are presented, the voluntary ocular conduction signal is reduced.

Referring to FIG. 7B, the average cross-correlation coefficients of the groups according to the stimulation tags easy, hard, and inaudible are 0.6693 (easy), 0.5976 (hard), and 0.4000 (inaudible) . Cross-correlation coefficients were obtained at the lowest levels of inaudible frequency stimuli that were difficult for subjects to perceive. These results show that the cross-correlation coefficient can be used to estimate whether a subject perceives a sound stimulus at a particular frequency.

The apparatus described above may be implemented as a hardware component, a software component, and / or a combination of hardware components and software components. For example, the apparatus and components described in the embodiments may be implemented within a computer system, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA) A programmable logic unit (PLU), a microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software. For ease of understanding, the processing apparatus may be described as being used singly, but those skilled in the art will recognize that the processing apparatus may have a plurality of processing elements and / As shown in FIG. For example, the processing unit may comprise a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as a parallel processor.

The software may include a computer program, code, instructions, or a combination of one or more of the foregoing, and may be configured to configure the processing device to operate as desired or to process it collectively or collectively Device can be commanded. The software and / or data may be in the form of any type of machine, component, physical device, virtual equipment, computer storage media, or device , Or may be permanently or temporarily embodied in a transmitted signal wave. The software may be distributed over a networked computer system and stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

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

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments. For example, it is to be understood that the techniques described may be performed in a different order than the described methods, and / or that components of the described systems, structures, devices, circuits, Lt; / RTI > or equivalents, even if it is replaced or replaced.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims

In a spontaneous ocular conduction-based audiometry test,
Measuring an ocular conduction signal using a subject's spontaneous eye movement according to a sound stimulus moving in a three-dimensional space through a stereo headset;
Performing pre-processing of adjustment and filtering on the measured ocular conduction signal; And
A step of performing a cross-correlation analysis of the ocular conduction signal through the preprocessing step
Lt; / RTI >
The step of measuring an ocular conduction signal using a subject's spontaneous eye movement according to a sound stimulus moving in a three-dimensional space through a stereo headset includes:
Providing the subject with a sound stimulus that moves in a three-dimensional space having a sine wave signal source of a different phase with time in order to make the subject feel as if the sound is rotating; And
Measuring spontaneous eye movement of the subject with respect to a sound stimulus moving in the three-dimensional space
Lt; / RTI >
The sound signal source of the sound stimuli moving in the three-dimensional space sequentially moves to a predetermined number of azimuths with time and uses the subject's eye movement phenomenon spontaneously generated in the moving sound stimulus to determine whether or not the sound signal source is the sound of the subject Objectively evaluated
Voluntary ocular conduction based audiometry.

delete

The method according to claim 1,
The sound stimuli moving in the three-dimensional space include a plurality of sound stimuli divided at regular intervals in an area considering the audio frequency domain
A method of hearing testing based on spontaneous ocular conduction.

The method according to claim 1,
Wherein the pre-processing of the adjustment and filtering of the measured ocular conduction signal comprises:
Applying a baseline detection method to remove DC component noise in the ocular conduction signal;
Applying a band-stop filter to remove power noise in the eye conduction signal; And
Applying a band-pass filter including a frequency component of a sound signal source of a sound stimuli moving in the three-dimensional space for extracting the ocular conduction signal generated by a sound stimulus moving in the three-dimensional space
A method of hearing testing based on spontaneous ocular conduction.

The method according to claim 1,
The step of performing the cross-correlation analysis of the ocular conduction signal after the pre-
Performing a cross-correlation analysis between a sine wave including a component of a sound stimulus moving in the three-dimensional space and an eye conduction signal through the preprocessing process, selecting a maximum cross-correlation efficiency among the cross- To determine whether it is a sound
A method of hearing testing based on spontaneous ocular conduction.

The method according to claim 6,
The method for calculating the cross-correlation efficiency to select the maximum cross-correlation efficiency uses the following equation,

Here, f represents the measured ocular conduction signal, g represents a sound signal source
A method of hearing testing based on spontaneous ocular conduction.

A spontaneous ocular conduction-based audiometry system,
An ocular conduction signal measuring unit for measuring an ocular conduction signal using a subject's spontaneous eye movement according to a sound stimulus moving in a three-dimensional space through a stereo headset;
A pre-processing unit for pre-processing the adjustment and filtering of the measured ocular conduction signal; And
A cross-correlation analysis unit for performing a cross-correlation analysis of the ocular conduction signal that has undergone the pre-
Lt; / RTI >
Wherein the ocular conduction signal measuring unit comprises:
In order to make the subject feel as if the sound is rotating, the subject is provided with a sound stimulus that moves in a three-dimensional space having a sine wave type sound source with a different phase with respect to time, The subject's voluntary eye movement is measured,
The sound signal source of the sound stimuli moving in the three-dimensional space sequentially moves to a predetermined number of azimuths with time and uses the subject's eye movement phenomenon spontaneously generated in the moving sound stimulus to determine whether or not the sound signal source is the sound of the subject Objectively evaluated
Voluntary ocular conduction based audiometry system.

delete

9. The method of claim 8,
Wherein the ocular conduction signal measuring unit comprises:
Generating a plurality of sound stimuli by dividing the sound stimuli moving in the three-dimensional space into regular intervals in an area considering the audio frequency domain
A spontaneous ocular conduction based audiometry system.

9. The method of claim 8,
The pre-
A band-stop filter for removing power source noise in the ocular conduction signal, a band-stop filter for removing DC component noise in the ocular conduction signal, a band-stop filter for removing power source noise in the ocular conduction signal, Applying a band-pass filter including a frequency component of a sound signal source of a sound stimulus moving in the three-dimensional space for extracting a signal
A spontaneous ocular conduction based audiometry system.

9. The method of claim 8,
The cross-
Performing a cross-correlation analysis between a sine wave including a component of a sound stimulus moving in the three-dimensional space and an eye conduction signal through the preprocessing process, selecting a maximum cross-correlation efficiency among the cross- To determine whether it is a sound
A spontaneous ocular conduction based audiometry system.

14. The method of claim 13,
The cross-
In order to select the maximum cross-correlation efficiency, the following equation is used as a method of calculating cross-correlation efficiency,

Here, f represents the measured ocular conduction signal, g represents a sound signal source
A spontaneous ocular conduction based audiometry system.