KR20150003104A - Apparatus and Method for Inducing User Adaptive Brainwave using Motion Sensor - Google Patents

Abstract

A user adaptive brainwave inducing device using a motion sensor according to the present invention comprises: a brainwave measuring unit for measuring the brainwaves of a user; a motion sensor for sensing the motion of the user while measuring brainwaves; a control unit for generating adaptive brainwave inducing signals for inducing brainwaves in a particular frequency band using the brainwave measured values and motion sensor output values; and an output unit for outputting the generated adaptive brainwave inducing signals. The control unit determines the motion sensor output values while measuring brainwaves to generate the adaptive brainwave inducing signals using the brainwave measured values when the motion sensor output values are less than predetermined set values. According to the present invention, when brainwaves are measured to obtain brain activity which is user′s unique brainwave reactivity to external stimulation, the motion of the user is recognized by a motion sensor. Moreover, brainwaves measured when the motion of the user occurs are excluded from analysis so that the influence of the user′s motion noise is minimized and brainwaves can be stably measured.

Description

TECHNICAL FIELD [0001] The present invention relates to a user-customized brain wave induction apparatus and method using motion sensors,

The present invention relates to a user-customized brain wave guiding apparatus and method using an operation sensor, and more particularly, to a user-customized brain wave guiding apparatus and method using an operation sensor, A user-customized EEG induction signal for inducing an EEG of a specific frequency band in consideration of a difference in brain activation degree according to a physical condition is provided in case of the same user, The present invention relates to a user-customized brain wave guiding apparatus and method using a motion sensor that minimizes the influence of motion noise and enables stable EEG measurement.

Electroencephalogram (EEG) is a weak periodic current generated by a potential change in excitatory neurons in neurons of the cerebral cortex. As is generally known, frequency bands are different from each other depending on the state of the human body.

In other words, brain waves (beta waves), which occur mainly in daily life, are between 15 Hz and 30 Hz, and brain waves (alpha waves), which are mainly generated in meditation (mental stability) The brain waves (SMR waves) that occur mainly in the learning state and the high creativity state are between 12Hz and 15Hz, and the brain waves (delta waves) generated when the deep sleep state is less than 3Hz.

Such EEG can be measured using an EEG (electro-encephalography) apparatus. By measuring the change of the EEG in the above-described manner, it is possible to indirectly grasp the state of the human brain. In recent years, Techniques have been developed to induce synchronized EEG in the frequency band.

A typical example of such an EEG induction technique is a learning aids such as MC Square. The learning aids are classified into brain waves synchronized with brain waves of a desired frequency band by visual stimulation (light) and auditory stimulation (sound) And to provide the user with an audiovisual stimulation for inducing the generation of the above-mentioned alpha or ceta waves in order to solve the tension, fatigue, and stress and increase the concentration power for improving the learning efficiency.

The electroencephalogram synchronization phenomenon is a phenomenon generated by synchronizing brain waves according to a frequency band of a stimulus provided to a user. For example, in order to induce an 11 Hz alpha wave, 11 Hz of sound and / or 11 flashes per second are given to the user The user's brain wave can be generated by synchronizing with the external stimulus at 11 Hz.

However, since the acoustic stimulus of 11 Hz can not be provided in the above example due to the human audible frequency (20 Hz to 20 kHz), in the case of auditory stimulation, a binaural beat It is common to use technology.

At this time, if the binaural bit technology simultaneously transmits a signal of 1 kHz or less having a frequency difference to both ears of a user (for example, a 300 Hz signal and a 311 Hz signal are simultaneously heard at the left ear and right ear of the user) (Ie, 11 Hz of alpha waves) is induced.

According to the above-described method, the learning aids according to the related art provide a predetermined audiovisual stimulus according to a user's specific purpose (i.e., learning, rest or sleep) so that the user's brain waves are guided to a frequency band matching the purpose Thereby enabling the user's brain state to be maintained in a state suitable for the above purpose. Detailed description related to this is disclosed in detail in, for example, Document 1 below.

However, the learning aid according to the prior art (hereinafter referred to as 'brain wave induction device') has a predetermined pattern for each purpose of use (for example, according to the binaural beat theory The frequency difference of the auditory signal), it is difficult to consider the difference in the brain activation degree for each user's stimulus or the difference in the brain activation degree according to the current physical condition even in the case of the same user There was a problem.

Therefore, the EEG induction apparatus according to the related art can be applied to a test group used for determining audiovisual stimulation and an EEG of a frequency band corresponding to the intended use for an unspecified large number of general users whose brain activation levels for body condition or stimulation are different from each other Or inducing very little, so that it is impossible to obtain a substantial EEG inducing effect.

In addition, the conventional EEG apparatus has a problem that it is difficult to perform stable EEG measurement due to the influence of motion artifacts of the user due to the motion of the user during EEG measurement.

[Patent Document 1] Korean Published Patent Application No. 2006-007335 (disclosed on Jan. 24, 2006)

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems of the conventional art, and it is an object of the present invention to provide a method and apparatus for recognizing movement of a user by a motion sensor during brain wave measurement for obtaining brain activation, The present invention provides a user-customized EEG guide apparatus and method using a motion sensor that minimizes the influence of a user's motion noise to enable stable EEG measurement.

It is another object of the present invention to provide a method and apparatus for providing a brain wave inducing signal for inducing brain waves in a frequency band matching a user's intended purpose, A user-customized brain wave guiding apparatus and method using a motion sensor capable of effectively deriving brain waves corresponding to the purpose by constructing the brain wave inducing signal in consideration of a difference in brain activation degree according to a physical condition .

In order to achieve the above object, a user-customized EEG apparatus using a motion sensor according to the present invention includes an EEG measuring unit for measuring EEG of a user, an operation sensor for sensing movement of the user during EEG measurement, And a controller for generating a customized EEG induction signal for inducing EEG waves of a specific frequency band using an output value of the motion sensor and an output unit for outputting the generated customized EEG induction signal, And the customized EEG induction signal is generated using the measured EEG value when the output value of the operation sensor is less than a predetermined set value.

The controller may generate the customized brain wave induction signal such that the brain activation degree, which is an EEG response to the external stimulus of the user, is maximized in the specific frequency band.

In addition, the customized EEG signal may be at least one of a visual stimulus signal and an auditory stimulation signal having at least one characteristic value, and the characteristic value may be a light intensity in the case of a visual stimulation signal, Is a frequency of sound.

Also, the controller may measure a brain wave of a user while outputting a brain activation degree acquisition signal generated by varying a characteristic value of a stimulus signal of a pattern stored in advance, through the output unit, analyze the measured brain wave, And the characteristic value of the customized brain wave induction signal is obtained to be the optimum characteristic value after acquiring an optimal characteristic value that is a characteristic value of the brain activation degree acquiring signal that maximizes the brain activation level of the user in the predetermined range.

The channel includes at least one first channel for measuring the left brain EEG of the user and at least one second channel for measuring the right brain EEG, A brain-generated EEG induction signal output to at least one of the left or the right eye of the user through the output unit using the obtained optimal characteristic value, and a right-brain customized EEG signal output to at least one of the user's right or left eye And generates an induction signal.

According to another aspect of the present invention, there is provided a method of inducing a user-customized brain wave using a motion sensor, comprising the steps of: measuring a brain wave of a user while sensing movement of a user using a motion sensor; And a third step of generating and outputting a customized EEG induction signal for inducing an EEG wave of a specific frequency band using the selected EEG measurement value, .

In addition, the first step measures the user's brain waves while changing the characteristic value of the brain activation degree acquisition signal, which is a stimulation signal for acquiring the brain activation degree, which is an EEG response to the external stimulus of the user, The third step analyzes the measured EEG to obtain an optimal characteristic value, which is a characteristic value of a brain activation degree acquisition signal that maximizes a user's brain activation degree in the specific frequency band. Then, the characteristic of the customized EEG induction signal Wherein the brain activation degree acquisition signal and the tailored EEG induction signal are at least any one of a visual stimulation signal and an auditory stimulation signal having at least one characteristic value, And is a light intensity in the case of the visual stimulation signal and a sound frequency in the case of the auditory stimulation signal.

As described above, the user-customized brain wave induction apparatus and method using the motion sensor according to the present invention recognize the movement of the user by the motion sensor during the brain wave measurement to obtain the brain activation degree, which is the user's own brain- Since the EEG measured at the time of user's motion is excluded from the analysis, it is possible to minimize the influence of the user's motion noise to enable stable EEG measurement.

The user-customized brain wave induction apparatus and method using the motion sensor according to the present invention analyzes the change in the brain activation level of the user according to the change in the characteristic value of the stimulus signal provided to the user, And a customized EEG induction signal obtained by modulating an EEG inducing signal for inducing an EEG wave in a specific frequency band to the optimal characteristic value is provided to a user. It is possible to maximize the EEG induction efficiency of the desired frequency band at all times.

FIGS. 1A to 1C are diagrams for different users A, B, and C of changes in brain activation according to frequency changes of auditory stimulation signals in the delta wave, theta wave, and alpha wave bands, respectively;
FIGS. 2A to 2C are diagrams for different users A, B, and C of changes in brain activation according to changes in illuminance of a visual stimulation signal in the delta wave, the set wave, and the alpha wave band, respectively;
FIG. 3 is a block diagram illustrating a general configuration of a user-customized EEG apparatus using a motion sensor according to an embodiment of the present invention.
Fig. 4A is a block diagram showing a specific configuration of the control unit shown in Fig. 3,
4B and 4B are block diagrams showing specific configurations of the brain activation measuring module shown in FIG. 3 and the brain activation analysis module shown in FIG. 4A, respectively.
5A and 5B are graphs illustrating a method of generating a customized EEG induction signal of a single tone and multiple tones in the customized EEG induction signal generating module shown in FIG.
6A and 6B are diagrams showing another configuration example of the brain wave measuring unit shown in FIG. 3, and FIGS.
7 is a flowchart illustrating a method of inducing an EEG of a user-customized EEG apparatus using a motion sensor according to an embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIGS. 1A to 1C are diagrams for different users A, B, and C of changes in brain activation according to a frequency change of auditory stimulation signals in the delta wave, theta wave, and alpha wave bands, B, and C for different degrees of brain activation according to changes in illuminance of visual stimulus signals in the delta wave, theta wave, and alpha wave bands, respectively.

In order to verify the validity of the EEG induction method applied in the EEG apparatus and method according to the present invention, the inventors of the present application have found that, while varying the characteristic values of stimulus signals provided to different users A, B, and C, The changes in brain activation level were measured for the EEG band.

Here, the stimulus signal means a signal that provides at least one of the stimuli that the human body can recognize through the five senses. In the present embodiment, for example, the stimulus signal may be a sound signal (sound) ), And the changed characteristic value is the frequency in the case of the auditory signal and the illuminance in the case of the visual signal.

First, in the case of the auditory signal, the auditory signal composed of a single tone of a certain size for different users A, B, and C was frequency-modulated in the audible frequency band (20 Hz to 20 kHz)

Specifically, each user was initially provided with an auditory signal of 20 Hz, and then the frequency of the auditory signal was increased by 500 Hz every 30 seconds until 20 kHz, and the provision of the auditory signal provided for each user's ear It was done separately.

Also, in the case of the visual signal, the visual signal of a certain wavelength for the different users A, B, and C is provided in increments of 1 lux every 30 seconds from 5 lux to 15 lux similarly to the audible signal, Was provided separately for each eye of each user.

The results of the above tests are shown in FIGS. 1A to 1C (in the case of auditory signals) and FIGS. 2A to 2C (in the case of visual signals) for each EEG in the main frequency band. In each case, (Brain activation energy of the corresponding frequency band / brain activation energy of the whole band), X axis represents the characteristic value (frequency or roughness) of the stimulus signal, and the vertical line represents the characteristic value of brain activation.

As can be seen from the test results shown in FIGS. 1A to 1C and FIGS. 2A to 2C, it can be seen that the characteristic values of the stimulus signals showing the maximum brain activation degree for each brain wave in a specific frequency band are different from user to user , It is easy to predict that the individual user's difference (the difference in the maximum brain activation degree due to the difference in the characteristic value of the stimulus signal) can be sufficiently generated according to the left brain and right brain and the current physical condition in the same user have.

For example, when the user A needs to induce an alpha wave, the light intensity of the visual stimulus is 9 lux for the left eye (related to the brain activation of the left brain), and 11 lux for the right eye lux is the most effective when auditory stimulation is applied, and the frequency of sound is 4 kHz (left ventricular activation) and 3 kHz (right ventricular activation) at 3 kHz.

When the user A is required to induce a seta wave, the light intensity is most effective when the left eye is 7 lux and the right eye is 14 lux in the case of visual stimulation. In the case of auditory stimulation, the frequency of the sound is 12 kHz, 7 kHz is most effective.

On the other hand, in the case of the user B, when the induction of the alpha wave is required, the light intensity is most effective when the left eye is 12 lux and the right eye is 12 lux in the case of visual stimulation. In the case of auditory stimulation, 2kHz is most effective.

Also, when the user B is required to induce a seta wave, the light intensity is most effective when the left eye is 12 lux and the right eye is 11 lux in the case of visual stimulation. In the case of auditory stimulation, the sound frequency is 18 kHz, 16kHz is most effective.

In the test results, it is judged that the individual differences are caused by differences in physical conditions such as visual acuity and hearing per individual, and the difference between the left and right eyes of the same user is judged to be caused by the difference in the right and left visual acuity and the difference in hearing ability between the left and right eyes.

Therefore, it is effective to provide a stimulus signal having different characteristic values depending on the user even if it is intended to induce EEG waves of the same frequency band (for the same purpose), which is also effective for the same user, It is effective to provide a stimulus signal having a characteristic value in which the maximum brain activation degree is exhibited.

FIG. 3 is a block diagram showing the overall configuration of a user-customized EEG apparatus using a motion sensor according to an embodiment of the present invention. FIG. 4A is a block diagram showing a specific configuration of the controller shown in FIG.

4A and 4B are block diagrams showing specific configurations of the brain-wave measuring unit shown in FIG. 3 and the brain activation analysis module shown in FIG. 4A, respectively. FIGS. 5A and 5B are diagrams FIGS. 6A and 6B are diagrams illustrating a different configuration example of the EEG measurement unit shown in FIG. 3. FIG. 6A and FIG. 6B are graphs illustrating a method of generating a single tone and a multi-tone tailored EEG induction signal in the EEG signal generation module.

As shown in FIG. 3, the user-customized EEG apparatus using the motion sensor according to the present invention includes an input unit 110 for inputting a selection signal of an operation mode from a user, an EEG measurement unit 120 for measuring a user's EEG, An output unit 140 for outputting a stimulation signal to be provided to a user and an output unit 140 for outputting information to the output unit 140 using information input to the input unit 110 and the EEG measurement unit 120. [ And a memory 130 in which data necessary for the operation of the controller 100 is stored.

The input unit 110 may be implemented using a conventional input method such as a button or a touch panel method. The input unit 110 receives a signal for selecting an operation mode of the EEG apparatus according to the present invention. It may be integrally formed with an EEG induction device or may be configured separately from an EEG induction device similar to a conventional remote control.

The operation mode of the EEG apparatus may be classified into various modes according to need, but in the present embodiment, for example, when the operation mode changes the characteristic value of the stimulus signal, A " setting mode "for obtaining an activation degree change, and an" EEG induction mode " for inducing an EEG of a specific frequency band selected by the user through the input unit 110 (that is, ".

In addition, the EEG measuring unit 120 is a component for detecting the user's EEG data induced according to the stimulation signal provided in the output unit 140 in the setting mode, . ≪ / RTI >

At this time, the EEG measuring unit 120 attaches the electrodes for detecting the EEG data of the user to the left and right heads of the user, respectively. Information such as the degree of concentration of the person, the degree of tension or the state of relaxation, It is preferable that the electrodes are attached to the portions where the left and right brain waves of the frontal part of the nighttime are easily detectable.

More specifically, in the present embodiment, the EEG measuring unit 120 is divided into a first channel for measuring the left brain EEG and a second channel for measuring the right brain EEG.

In the present embodiment, the left and right brain brain waves are detected through two channels. However, the present invention is not limited to this. .

The EEG measuring unit 120 may be configured to continuously detect user's brain wave data for a stimulus signal continuously output from the output unit 140 as described later.

6A and 6B, the EEG measuring unit 120 may be configured to be wearable on the user's head.

The motion sensor 125 may be a sensor for sensing movement of a user and may be configured using a conventional gyro sensor or an acceleration sensor. The motion sensor 125 may be provided on one side of the above- As shown in Fig.

In the present embodiment, an output unit 140, which is a component for providing a stimulus signal generated by the controller 100 to a user, is integrally formed with the brainwave measuring unit 120 The output unit 140 may include a visual stimulation output device of the type of eyeglasses or goggles and an auditory stimulation output device of an earphone or headphone type and may be configured separately from the brain wave measurement unit 120 .

The memory unit 130 stores data required for the operation of the controller 100. The memory unit 130 includes a stimulus pattern storage module 131 that stores patterns of stimulus signals to be used in the "setting mode" A brain wave storage module 132 for storing brain wave data of the user measured by the brain wave measuring unit 120, and a user's brain activation for a brain wave of a main frequency band acquired by the controller 100 using the measured brain wave And a brain activation degree storage module 133 for storing data related to the degree of change.

4A, the control unit 100 includes a control module 101 for outputting a control signal for generating a stimulus signal corresponding to the operation mode input to the input unit 110, A brain wave data receiving module 102 for receiving the user's brain wave data measured by the brain wave measuring module 120 and storing the received brain wave data in the brain wave storing module 131, And a brain activation degree analysis module 103 for analyzing the user's brain activation degree change in the brain waves of the user and storing the result in the brain activation degree storage module 133.

The brain activation degree analysis module 103 includes an operation occurrence recognizer 103a for determining whether a user's movement has occurred from the output of the motion sensor, An EEG data selective acquisition unit 103b for calculating an EEG measurement value of the channel after excluding the EEG measurement value including the motion noise from the determination result of the motion occurrence recognizer 103a, And a brain activity analyzer 103c for analyzing the brain activation component according to the characteristic value of the brain activation degree acquisition signal.

In addition, the controller 100 controls the control module 101 to generate a stimulus signal (hereinafter referred to as " stimulation signal ") provided in the "setting mode " Stored in the stimulus pattern storage module 131 according to the control signal of the control module 101. The brain activation degree acquisition signal generation module 104 generates a brain activation degree acquisition signal (Hereinafter referred to as " customized " signal) for inducing brain waves of the frequency band selected by the user through the input unit 110 using the stimulation signal for the " mode "and the brain activation degree data of the user stored in the brain activation degree storage module 133 And a customized EEG induction signal generation module 105 for outputting an EEG induction signal.

FIG. 7 is a flowchart illustrating a method of inducing an EEG of a user-customized EEG apparatus using a motion sensor according to an embodiment of the present invention. Hereinafter, a method of inducing EEG of the EEG apparatus according to the present invention, Will be described in detail.

First, when a selection signal for selecting an operation mode of the EEG apparatus is input from the user through the input unit 110 (S10), the controller 100 determines whether the input selection signal is a selection of a "setting mode" (S20).

If it is determined in step S20 that the user has selected the "setting mode ", the controller 100 generates a brain activation degree acquisition signal and outputs the brain activation degree acquisition signal through the output unit 140, From the brain wave measuring unit 120 (S30).

At this time, the brain activation degree acquisition signal is generated using the stimulus signal for 'setting mode' stored in the stimulus pattern storage module 131 in the brain activation degree acquisition signal generation module 104 as described above, The brain activation degree acquisition signal is generated while varying the characteristic value within the range of the predetermined characteristic value of the stimulation signal for the "setting mode ".

In the present embodiment, the stimulus signals for the "setting mode" are composed of a time signal and an auditory signal, respectively. In the case of a time signal, the stimulus signal for the "setting mode" is light of a certain wavelength The stimulus signal for the "set mode" is a sound of a certain size (i.e., a single tone).

In addition, the brain activation degree acquisition signal generation module 104 changes the illuminance in a predetermined illumination range (for example, 0 lux to 20 lux) in the case of the time signal among the stimulation signals for the "setting mode" (For example, 1 lux every 30 seconds). The brain activation level acquisition signal (time signal) is generated. In the case of an auditory signal, the frequency is changed in a predetermined frequency range (for example, 20 Hz to 20 kHz) , And changes by 500 Hz every 30 seconds) to generate the brain activation degree acquisition signal (auditory signal).

In this case, the controller 100 continuously measures the user's brain waves at predetermined time intervals (for example, time intervals of several microseconds to several milliseconds) for each characteristic value of the brain activation degree acquiring signal.

When continuously measured in such a short time interval, the bio-signals such as brain waves have a characteristic of indicating a steady state in a section of consecutive time intervals. In the present invention, It is possible to stably measure a biological signal (an EEG signal in this embodiment) as shown in Fig.

In the present embodiment, the controller 100 first provides the brain activation degree acquisition signal of the visual signal in the "setting mode" to measure the brainwave therefrom and then provides the brain activation degree acquisition signal of the auditory signal, However, the brain activation degree acquisition signal may be provided first, if necessary. Alternatively, the brain activation degree acquisition signal may be provided according to the type of the brain activation degree acquisition signal provided by the user through the input unit 110 , At least one of a visual signal and an auditory signal) or a presentation order may be determined.

The EEG data receiving module 102 receives the EEG measured by the EEG measuring unit 120. In this case, the EEG data receiving module 102 performs EEG analysis in steps S35 to S40, which will be described later, It is preferable to store the EEG data in the EEG storage module 132 in order to prevent the EEG data received before the EEG data from being damaged.

When the step S30 is completed, the controller 100 determines whether motion noise due to user's movement is included in the measured EEG for each of the steps of EEG measurement at a predetermined time interval (S35).

The determination in step S35 may include a method of determining that a user's motion has occurred when the output value of the motion sensor 125 in the control unit 100 is equal to or greater than a preset value.

If it is determined in step S35 that no motion has occurred, step S40 is performed. If motion has occurred, step S30 is performed again.

As described above, in the case of a bio-signal, a characteristic that indicates a steady state in a short time period is used. When the output of the motion sensor 125 is greater than a set value during EEG measurement, a motion noise It is ignored and the measurement is made again.

Therefore, in the present invention, a method of calculating the EEG measurement value of the corresponding channel using the EEG measurement value that does not include the motion noise of the user by using the output value of the motion sensor is applied, so that the EEG of the corresponding channel is measured very stably .

It is preferable that the set value of the motion sensor 125 is set to a range that can determine that a change in EEG measurement value corresponds to a steady state during a reasonable time interval. May be set differently depending on the type of the light source.

If it is determined in step S35 that the user does not move, the controller 100 uses the brain wave data of the user measured by the brain wave measuring unit 120 (i.e., brain wave data without motion noise) (S40), and stores the analysis result in the brain activation degree storage module 133 of the memory unit 130 (S50 ).

In step S40 and step S50, the brain activation level analysis module 103 analyzes the measured brain activity data using Fast Fourier Transform (FFT) Transform) and analyze the components based on the frequency band of EEG.

In this embodiment, EEG components are analyzed as shown in Table 1 below, but the present invention is not limited thereto. EEG components may be more broadly or specifically discriminated according to necessity.

EEG component
(Frequency band) Frequency name Purpose of use (feature) 0.1 to 3 Delta wave Deep sleep or brain abnormalities 4 to 7 Setta Sleep state 8-12 Al Papa Relaxation and rest state 12 to 15 SMR wave Attention status 16-20 Mid-Beta wave Concentration, activity status 21 to 30 Beta wave Tension, excitement, stress 30 to 50 Gamma wave Strong stress state such as anxiety, irritability

In addition, the brain activation degree analysis module 103 uses the brain wave component obtained for each characteristic value of the brain activation degree acquisition signal as shown in Figs. 1A to 1C and Figs. 2A to 2C, And the result is stored in the brain activation degree storage module 133. The brain activation degree change module 133 calculates the brain activation degree change pattern of each brain wave component according to the brain activation level.

At this time, it is preferable that the brain activation degree information stored in the brain activation degree storage module 133 is divided and stored for each EEG component of each frequency band. Information stored for each EEG component includes The change in brain activation degree depending on the change may be stored as a whole and only the characteristic value with the maximum brain activation degree (hereinafter referred to as 'optimal characteristic value') may be stored.

If it is determined in step S20 that the selection signal input to the input unit 110 is a signal for selecting the "brain wave induction mode" for deriving an EEG wave of a specific frequency band, Through the input unit (S60).

Here, the purpose of use refers to a brain state required by the user, and may be determined by a user selecting one of a plurality of selection menus provided in the input unit.

In this embodiment, the selection menu includes sleep, relaxation, concentration, stress relief, depression, ADHD prevention and treatment, and the like. However, the present invention is not limited thereto, It can also be composed of EEG frequency bands such as seta waves and SMR waves.

In the present exemplary embodiment, steps S20 and S60 are separately performed. However, the present invention is not limited thereto. If a selection signal for selecting a purpose of use is input from the user in step S20, It may be configured to perform the steps S60 and below, assuming that the "brain wave induction mode" among the two operation modes is selected.

Upon completion of step S60, the controller 100 generates a customized EEG induction signal for inducing brain waves of a frequency band corresponding to the selected use purpose and outputs the customized EEG induction signal through the output unit 140 (S70, S80).

For example, if the selected use purpose is 'sleep', the controller generates and outputs a tailored EEG induction signal for inducing EEG waves in the delta wave or theta wave band, and when the selected use purpose is 'relax relaxation' And generates and outputs a customized EEG induction signal for inducing EEG waves in the Papa band.

In addition, when the selected use purpose is 'concentrated power enhancement', the controller generates and outputs a tailored EEG induction signal for inducing EEG waves in the SMR wave and Mid-beta wave band or inducing EEG waves having a small beta wave and gamma wave band And generates and outputs a tailored EEG induction signal for inducing EEG waves in the ALPHA band or inducing EEG waves with a small number of beta waves and CTA waves when the selected purpose of use is relieved of stress.

In particular, in the case of 'selected concentration', the controller generates and outputs a customized EEG induction signal for inducing an EEG in a frequency band in which a concentration index (T) calculated by the following Equation 1 is high It is possible.

Here, S denotes the frequency of the SMR wave,? Denotes the frequency of the Mid-Beta wave,? Denotes the frequency of the setter wave, and each of the frequencies may be obtained as an intermediate value, a maximum value or a minimum value of the corresponding frequency band have.

______________________ [수식 1]

______________________ [Equation 1]

At this time, the customized EEG induction signal is stored in the stimulation pattern storage module 131 in the customized EEG induction signal generation module 104 and the stimulation signal for the " brain wave induction mode " (I.e., brain activation degree information on the EEG component corresponding to the selected purpose of use).

In the present embodiment, the stimulation signal for the "brain wave induction mode" is composed of a visual signal and an auditory signal as an example. In the case of a visual signal, the stimulation signal for & In the case of a light and auditory signal, the stimulation signal for the "brain wave induction mode" is a sound of a certain size (i.e., a single tone).

In addition, the customized brain wave induction signal generation module 104 converts the characteristic value of the stimulus signal for "brain wave induction mode " into an optimal characteristic value in which the brain activation degree is maximized in the brain wave component of the frequency band corresponding to the selected use purpose And generates the customized brain wave induction signal in a modulating manner.

For example, as shown in FIG. 5A, when the stimulus signal for the "brain wave induction mode" is an auditory signal of 50 Hz single tone (i.e., a single frequency) The customized brain wave induction signal generation module 104 generates a customized brain wave induction signal of 5 kHz for the user A if the optimal optimal characteristic value (i.e., frequency) is 5 kHz for the user A and 10 kHz for the user B, Signal and generates a customized EEG induction signal of 10kHz monotone for user B,

Further, even when the stimulation signal for the "brain wave induction mode" is a visual signal of a single tone (i.e., a single roughness), the illuminance of the stimulation signal for "brain wave induction mode" And generates a customized EEG signal by modulating the brain activity of the corresponding frequency band with the maximum illuminance.

On the other hand, unlike the present embodiment, the stimulation signal for the "brain wave induction mode " may be composed of multiple tones (i.e., a sound of a plurality of frequencies in the case of an audible signal and a plurality of lights in the case of a visual signal) In this case, the customized brain wave induction signal generation module 104 converts the central characteristic value of the stimulation signal for the "brain wave induction mode" into an optimal characteristic of the brain activation degree in the brain wave component of the frequency band corresponding to the selected use purpose To generate the customized brain wave induction signal.

For example, as shown in FIG. 5B, when the stimulation signal for the "brain wave induction mode" is an auditory signal of multiple tones (i.e., a plurality of frequencies) of 5 Hz to 20 kHz and the EEG component of the frequency band corresponding to the selected use purpose If the optimal characteristic value (i.e., frequency) with the highest brain activation degree is 5 kHz for the user A and 10 kHz for the user B, the customized brain wave induction signal generation module 104 generates the " Mode "is centered at 5 kHz, and for user B, a stimulation signal for the" EEG induction mode "is rearranged around 10 kHz to generate a customized EEG induction signal.

Also, when the stimulus signal for the "brain wave induction mode" is a visual signal of multiple tones (i.e., a plurality of roughness), the center illuminance of the stimulus signal for the "brain wave induction mode" The brain waves are modulated with the intensity of the brain activity at the maximum level to generate a customized brain wave induction signal.

In the present embodiment, the case where the user selects the operation mode is described as an example. However, the present invention is not limited to this. However, if the user selects the purpose of use, And may be configured to provide a customized EEG induction signal for deriving the EEG of the frequency band corresponding to the selected use purpose after acquiring the activation degree.

As described in detail above, the apparatus and method for inducing EEG according to the present invention analyze changes in brain activity of a user according to a change in a characteristic value of a stimulus signal provided to a user, And provides a user with a customized EEG induction signal obtained by modulating an EEG inducing signal for inducing an EEG wave in a specific frequency band to the characteristic value. Therefore, whichever user is using in any body state, It is possible to maximize the EEG induction efficiency of the brain.

In the present embodiment, the case where the stimulus signal such as the brain activation degree acquisition signal and the customized EEG induction signal is composed of the time signal and the auditory signal has been described as an example, but it may be composed of any one of them as needed.

In addition, although the EEG guide device is configured as a form of eyeglasses or goggles in the present embodiment, the EEG guide device may be implemented in various forms within the scope of performing the same function.

Further, it goes without saying that the EEG induction device according to the present invention can be applied to various devices such as a TV, an MP3, an audio, a mobile phone, a projector, an acoustic system, and a computer as well as a learning aid.

It will be appreciated by those skilled in the art that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. It is to be understood, therefore, that the embodiments described above are not to be considered in all respects as illustrative and not restrictive.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: control unit 102: brain wave data receiving module
103: brain activation degree analysis module 104: brain activation degree acquisition signal generation module
105: Personalized EEG induction signal generation module 110: Input part
120: EEG measuring unit 140: Output unit

Claims (7)

An EEG measuring unit for measuring a user's EEG;
An operation sensor for detecting movement of the user when measuring EEG;
A controller for generating a tailored EEG induction signal for inducing an EEG wave of a specific frequency band using the EEG measurement value and the output value of the motion sensor; And
And an output unit for outputting the generated customized EEG induction signal,
Wherein the controller generates the customized EEG induction signal by using the EEG measurement value when the output value of the operation sensor is less than a predetermined set value by determining the operation sensor output value during EEG measurement, A user - The method according to claim 1,
Wherein the controller generates the customized EEG induction signal such that the brain activation degree of the EEG response to the external stimulus of the user is maximized in the specific frequency band. 3. The method of claim 2,
Wherein the customized brain wave induction signal is at least one of a visual stimulation signal or an auditory stimulation signal having at least one characteristic value,
Wherein the characteristic value is a light intensity in the case of the visual stimulation signal and a sound frequency in the case of the auditory stimulation signal. The method of claim 3,
Wherein the controller measures a brain wave of a user while outputting a brain activation degree acquisition signal generated by varying a characteristic value of a stimulus signal of a previously stored pattern through the output unit, analyzes the measured brain wave, Acquiring an optimal characteristic value which is a characteristic value of a brain activation degree acquiring signal that maximizes a brain activation degree of a user and then generating a characteristic value of the customized EEG induction signal to be the optimal characteristic value; A user - 5. The method of claim 4,
Wherein the channel comprises at least one first channel for measuring the left brain EEG of the user and at least one second channel for measuring right brain EEG,
Wherein the controller acquires the optimal characteristic value for each of the first channel and the second channel and uses the same to output at least one of the left or right eye of the user through the output unit, Or the right eye of the user, the right-brain-adapted EEG induction signal being output to at least one of the right and left eyes. A first step of measuring an EEG of the user while sensing a movement of a user using an operation sensor;
A second step of selecting the EEG measurement value when the output value of the motion sensor is less than a preset value as an effective measurement value; And
And generating and outputting a customized EEG induction signal for inducing an EEG wave of a specific frequency band using the selected EEG measurement value, and outputting a customized EEG induction signal. The method according to claim 6,
The first step is to measure the user's brain waves while providing the user with the characteristic value of the brain activation degree acquisition signal, which is a stimulation signal for acquiring the brain activation degree, which is an EEG response to the external stimulus of the user,
The third step analyzes the measured EEG to obtain an optimal characteristic value, which is a characteristic value of a brain activation degree acquisition signal that maximizes a user's brain activation degree in the specific frequency band. Then, the characteristic of the customized EEG induction signal Value to be the optimum characteristic value,
Wherein the brain activation degree acquisition signal and the tailored EEG induction signal are at least one stimulus signal of at least one of a visual stimulation signal and an auditory stimulation signal having at least one characteristic value and the characteristic value is a light intensity of the visual stimulation signal, And a sound frequency in the case of a stimulation signal.

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