KR101527273B1 - Method and Apparatus for Brainwave Detection Device Attached onto Frontal Lobe and Concentration Analysis Method based on Brainwave - Google Patents

Abstract

We propose a concentration analysis method and apparatus that acquires bio-signals (brain wave) from the frontal lobe position and then provides the current concentration state to the user through data refining process and classification process. The method of detecting the frontal lobe-based EEG signal and analyzing the brain-based concentration of loudspeakers proposed in the present invention is a method of analyzing a frontal lobe-based EEG signal and an EEG-based concentration signal by applying an electrode for measuring a user's biomedical signal to a frontal lobe position of a user, And transmits it to a device for detection and concentration analysis. The device for detecting and analyzing the brain wave signal receives the brain wave data, preprocesses the pre-processed brain wave data through a preprocessing process of removing noise and amplifying the signal, converts the brain wave data of the time series signal into a frequency signal , And classifies brain wave data according to the band of the converted frequency. Detection of concentration is performed by analyzing classified EEG data. Since the result of the concentration force detected in the process of detecting the concentration is changed in real time, the process of detecting the concentration is repeated from the step of acquiring the user's brain wave data again.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and apparatus for detecting frontal lobe-based EEG signals and analyzing brain waves based on Brainwave Detection Device Attachment to Frontal Lobe and Concentration Analysis Method based on Brainwave

TECHNICAL FIELD [0001] The present invention relates to a method and apparatus for detecting frontal lobe-based EEG signals and analyzing brain waves based on Brainwave Detection Device Attachment to Frontal Lobe and Concentration Analysis Method based on Brainwave

As society becomes more and more industrialized, research on the interface between human brain and computer or terminal (Brain-Computer Interface, BCI) is actively underway. The brain-computer interface (BCI) mediated by EEG is realized through Attention Monitoring or Classifying Image. Korean Patent Laid-Open Publication No. 10-20110072730 discloses an adaptive brain-computer interface apparatus capable of determining an order of stimulation adaptively according to a situation so that a user can find a desired command precisely as quickly as possible. Computer interface device.

Research on bio-feedback technology has been under way as a research based on EEG. It analyzes the brain waves of the subjects and then informs the subjects of the results by sound and vibration, and has been researched and developed as a kind of appropriate psychotherapy required according to the result of analysis. Based on this principle, It can be used as an interface for computers or people with physical disabilities.

Studies focusing on these brain-interfaces include the Emotive System's Emotive EPOC, NeuroSky's MindSet, and Cyberkynetics's BrainGate.

EPOC and MindSet have focused on development using game contents by implementing headless non-invasive brain interface. BrainGate uses sensor chip to analyze user's intention and focuses on manipulation of terminal such as TV or computer. have. However, it does not contain information about the user's concentration and management. That is, conventionally, there have been studies for developing the interface using the human brain waves to measure the current state of the brain waves, treating the mental disorder, and for the convenience of the physically uncomfortable patient. However, The research was insufficient and the accuracy was not high due to the signal distortion due to the electrocardiogram and the foreign body (hair) between the attachment site and the skin.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a portable system that can be used regardless of a place, because the use period is increased and the frequency of use is increased. For this purpose, detachment for EEG measurement should be easy, and the number of electrodes used should be minimized. In addition, since the signal is distorted according to the position of the electrode, the electrode must be positioned at the frontal lobe which is less influenced by the hair. However, the electroencephalogram (EEG) generated by the movement of the eyeball at the user's frontal lobe measures the distorted EEG. Accordingly, the present invention provides a method and apparatus for analyzing a waveform of an EEG having a high accuracy by minimizing the above-mentioned distorted signal, and measuring the current concentration of the user through a calculation step using a concentration index.

According to an aspect of the present invention, there is provided a method for detecting frontal lobe-based EEG signals and analyzing brain waves based on concentration of a user, the method comprising the steps of: acquiring user's brain wave data by attaching an electrode for measuring a user's bio- A step of transmitting the acquired EEG data to an apparatus for EEG detection and concentration analysis, a step of pre-processing to receive EEG data to remove noise and amplify a signal, and inputting pre-processed EEG data into a preset algorithm Converting the EEG data of the time series signal into a frequency signal, classifying the EEG data according to the band of the converted frequency, and detecting the concentration of the EEG data by analyzing the classified EEG data.

The result of the concentration power detected in the step of detecting the concentration is changed in real time and the step of repeatedly performing the step of acquiring the user's brain wave data again after the step of detecting the concentration power.

Acquisition of user EEG data is obtained by using the signals of two channels and applying the independent component analysis method.

The frontal position of the user to which the electrode is attached is a position to reduce the distortion of the EEG signal according to predetermined safety.

The degree of safety includes first and second horizontal safety degrees having different polarities according to the left and right movement of the user's eyes, and includes vertical safety due to the user's blinking of eyes.

Analysis of EEG data uses the rules created by neurophysiological EEG concentration indicators.

EEG data includes information on SMR (low beta) wave, Mid-Beta wave, and Theta wave.

The neurophysiological EEG concentration index includes data obtained by summing the SMR (low beta) wave and the Mid-Beta wave divided by the Theta wave number.

According to an aspect of the present invention, there is provided an apparatus for analyzing frontal lobe-based EEG signals and analyzing an EEG-based concentration, which comprises a receiver for receiving EEG data of a user, a preprocessor for removing noise and amplifying signals from the obtained EEG data, An identification unit for inputting EEG data into a predetermined algorithm to convert the EEG data of the time series signal into a frequency signal and classifying the EEG according to the band of the converted frequency, And a display unit for displaying the detected concentration.

The electroencephalogram measuring apparatus further includes an electroencephalogram measuring apparatus. The electrode of the electroencephalogram measuring apparatus is attached to a frontal position of a user who reduces distortion of an EEG signal according to predetermined safety, and obtains user's EEG data using the electrode.

The EEG acquires the user's brain waves through five sensors, the five sensors acquires the user's brain waves using the two channels, and transmits the user's brain waves acquired by the receiver.

The detection unit uses the rules created by neurophysiological EEG concentration indicators for analysis of EEG data.

According to embodiments of the present invention, there is an advantage that it is easy to acquire brain waves of a user, and distortion of a signal can be reduced, and accuracy of concentration measurement can be enhanced. In addition, according to the embodiments of the present invention, it is possible to perform education or training including a game by combining with other software based on the current concentration state of the user.

FIG. 1 is a flowchart illustrating a frontal lobe-based EEG signal detection and brain-wave-based concentration analysis method according to an embodiment of the present invention.
2 is a view for explaining an electrode attaching position of an EEG apparatus according to an embodiment of the present invention.
FIG. 3 is a view showing positions of the eyeballs according to directions of the electrodes and the user in the EEG measurement according to the embodiment of the present invention.
FIG. 4 is a diagram illustrating a configuration of an apparatus for analyzing frontal lobe-based EEG signals and analyzing brain waves based on an EEG according to an embodiment of the present invention.
FIG. 5 is a diagram illustrating a defined protocol between an apparatus for interrogating an EEG apparatus according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as " comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

Hereinafter, the present invention will be described with reference to the drawings for explaining a concentration method and apparatus using frontal brain EEG in accordance with embodiments of the present invention.

Defining the term before the description, the frontal lobe is defined as the cerebral cortex located in the anterior (forehead) part. Prefrontal Lobe is a place to predict or judge the following behaviors. It distinguishes between important memory and non-essential memory, stores it, and maintains a person's alertness and emotional response such as pleasure and pain, anxiety, anger, fear and aggression .

Concentration refers to the ability to concentrate or concentrate the mind on an object. Medically, concentration or attention refers to a form that includes a process of arousal, concentration, and association.

FIG. 1 is a flowchart illustrating a frontal lobe-based EEG signal detection and brain-wave-based concentration analysis method according to an embodiment of the present invention.

The frontal lobe-based EEG detection and EEG-based concentration analysis method includes an EEG data acquisition step 110, an EEG data transmission step 120, a preprocessing step 130, a classification step 140 according to frequency, And a concentration and concentration detecting step 150.

First, an electrode for measuring a user's bio-signal is attached to a frontal position of a user to obtain user's brain wave data (110).

The obtained EEG data is transmitted to an apparatus for EEG signal detection and concentration analysis (120).

The transmitted EEG data is received by an apparatus for EEG detection and concentration analysis to perform noise removal and signal amplification (130). Noise removal and signal amplification are performed to perform a preprocessing process for extracting signals necessary for analyzing EEG data.

The preprocessed EEG data is input to a preset algorithm to classify the group to which EEG data belongs (140). At this time, the brain wave data is input to a preset algorithm, and the brain wave data of the time series signal is converted into a frequency signal, and the converted component is transformed according to the EEG wavelength region. Therefore, the extracted EEG data can be classified according to the band of the converted frequency.

The concentration is detected 150 by analyzing the EEG data classified using the algorithm. At this time, the analysis of EEG data can use predetermined rules according to the concentration index. For example, the classified EEG data can be quantified to obtain the sum of SMR wave (12 ~ 15Hz) and Mid-Beta (15 ~ 20Hz), and then divided by theta wave (4 ~ 8Hz). The concentration value can be expressed by sorting the values obtained through this method according to a series of rules.

In addition, since the result of the detected concentration is changed in real time, the user can return to the first step 110 as needed and receive the EEG data again (160). Thereafter, the process of detecting the concentration can be repeated.

2 is a view for explaining an electrode attaching position of an EEG apparatus according to an embodiment of the present invention.

When the electrode is attached to the frontal lobe of the user and the brain wave data is measured, the measured brain wave data may be affected by the movement of the user's eyes. According to the conventional art, as a method for measuring EEG, it is possible to measure EEG by selectively projecting 21 electrode attachment points of the scalp according to an international standard 10-20 electrode system. 10 to 20 According to the electrode system, when the electrodes are attached to the positions of F _P1 and F _P2 (the area mainly responsible for recognition, analysis, reasoning, and determination of input information) corresponding to the frontal lobe, Movement or blinking may increase the distortion of the EEG. When EEG biofeedback is used in daily life, the user can move the pupil at various angles to gaze around objects in addition to gazing at the front. At this time, not only the vertical safety due to blinking but also the horizontal safety caused by the left and right movement of the pupil may occur. Therefore, independent component analysis (ICA) can be applied using signals of two channels. However, since the number of signals is larger than the number of sensors used, pure brain waves may not be obtained. Therefore, it is possible to use a new electrode arrangement method for acquiring brain waves in consideration of vertical safety and horizontal safety.

Assuming that the pupil is a signal source, the pupils move in the same direction. Therefore, when measuring signals at the ends 210 and 220 of both eyes, one end opposite to the pupil's movement direction is distant from the signal source And the other end is close to the signal source. For example, if the user's pupils move to the right side of the user, the user's right pupil may approach the end 210 of the right eye and the user's left pupil may be farther away from the end 220 of the left eye . At this time, since the moving distance is the same, if the center of the pupil is a zero point, the signal of the same amplitude having the (+) sign can be measured. Electrode B and electrode C may be deposited on F _P1 and F _P2 according to the prior art 10-20 electrode system. The electrode A and the electrode D may be attached at positions where a vertical line corresponding to both ends 210 and 220 of the eye and a horizontal extension line 230 of F _P1 and F _P2 intersect with each other.

FIG. 3 is a view showing positions of the eyeballs according to directions of the electrodes and the user in the EEG measurement according to the embodiment of the present invention.

Figure 3a of the electrode A _a ~ D _a mounting when the user notice the front position, Figure 3b is an electrode A _b ~ D _b attached to the user and give the user's right hand position, Figure 3c is a user-user The position of the attached electrode A _c ~ D _{c and} the position of the pupil at this time. When the EEG is measured at the position of the pupil according to the subject's gaze direction, the pupil is assumed to be one of the signal sources and will be described below.

For example, to move the eyes as shown in Fig. 3b as the electrodes A and _b based on the opposite side of the signal source at the center of the electrode A where _b move to the user's right side. Therefore, a signal having a (-) polarity is measured. The electrode D _b where the signal source a signal having a (+) polarity it moves toward the electrode D _b on the basis of the center is measured. On the other hand, since the moving distance of the signal source is the same, the amplitude of the induced signal is the same. In the case of the EEG measured at the electrode B _b and the electrode C _b , a signal having a small amplitude can be measured due to the influence of the nearby signal source but due to the biological attenuation. That is, in the electrode B _b , a waveform having the same polarity as the electrode A _b and having a smaller amplitude than the electrode A _b can be measured. Further, the electrode may have a C _b in the polarized electrode is smaller than the amplitude D _b D _b waveform, such as the electrode can be measured.

The pupil motion signal may include a first horizontal safety degree and a second horizontal safety degree having different polarities depending on the left and right movement of the pupil. It may further include vertical safety induced by eye flicker. Therefore, signals of four channels of EEG data distorted by the first horizontal safety degree, the second horizontal safety degree and the vertical safety degree measured in A, B, C and D of FIG. 2 are subjected to Independent Component Analysis (ICA ). ≪ / RTI > When the signals of the EEG data are separated, the signals are classified into the same number of independent components as the number of measurement channels. Therefore, it can be categorized as vertical safety due to eye flicker, first horizontal safety, second horizontal safety, and pure EEG data according to the polarity of the left and right movement of the pupil.

When the eye blinks, the signal source moves in the same direction with respect to the four electrodes, so that the induced signal can be measured with a waveform having the same polarity. Further, it can be measured with a waveform having a different size according to the biological attenuation.

FIG. 4 is a diagram illustrating a configuration of an apparatus for analyzing frontal lobe-based EEG signals and analyzing brain waves based on an EEG according to an embodiment of the present invention.

The frontal lobe-based EEG signal detection and EEG-based concentration analyzing apparatus comprises an EEG 410 and an apparatus 420 for EEG signal detection and concentration analysis.

The electrode of the EEG device 410 is attached to the frontal position of the user who reduces the distortion of the EEG signal according to predetermined safety, and the EEG data of the user can be obtained using the attached electrode. The EEG acquires the user's brain waves through five sensors (a, b, c, d, e). Five sensors (a, b, c, d, e) consist of four sensors and one ground (ground). The EEG data acquired through the sensor is transmitted to the receiving unit 421 of the device 420 for EEG signal detection and concentration analysis. In case of using only one channel of five sensors (a, b, c, d, and e), data may be missed due to poor contact of electrodes or unexpected problem. .

The EEG can be driven independently of the operating system or hardware of the interworking equipment by being designed to operate independently of the platform for general use.

The apparatus 420 for detecting the EEG signal and concentration analysis is composed of a receiving unit 421, a preprocessing unit 422, an identifying unit 423, a detecting unit 424, and a display unit 425.

The receiving unit 421 receives the brain wave data obtained through the sensors (a, b, c, d, e) of the EEG device.

The preprocessing unit 422 removes noise and amplifies a signal from the acquired EEG data. Through this process, it is possible to perform a preprocessing process of extracting signals necessary for analyzing EEG data.

The identification unit 423 inputs the preprocessed EEG data into a predetermined algorithm and converts EEG data of the time series signal into a frequency signal. At this time, the brain wave data is inputted to a predetermined algorithm, and the brain wave data of the time series signal is converted into a frequency signal, and the converted components are converted according to the EEG wave length region. Therefore, the extracted EEG data can be classified according to the band of the converted frequency.

The detection unit 424 detects concentration by analyzing the classified EEG data.

Algorithm is used to detect the concentration of brain waves by analyzing classified EEG data. At this time, the analysis of EEG data can use predetermined rules according to the concentration index. For example, the classified EEG data can be quantified to obtain the sum of SMR wave (12 ~ 15Hz) and Mid-Beta (15 ~ 20Hz), and then divided by theta wave (4 ~ 8Hz). The concentration value can be expressed by sorting the values obtained through this method according to a series of rules.

In addition, since the result of the detected concentration is changed in real time, it can be fed back to the receiving unit 421 as needed to receive the EEG data again. Thereafter, the process of detecting the concentration can be repeated.

The display unit 425 displays the detected concentration by analyzing brain wave data so that the user can confirm the concentration.

FIG. 5 is a diagram illustrating a defined protocol between an apparatus for interrogating an EEG apparatus according to an embodiment of the present invention.

Referring to FIG. 5, the EEG device 410 may perform power on and power off according to a sensor on and a sensor off command. When the normal mode command is received, it is set up in the normal mode. When the stream mode command is received, the stream mode can be set up. In addition, the battery status of the brain-wave measuring device 410 can be displayed according to a battery status command.

The EEG measuring device 410 acquires real-time EEG data generated in the user's frontal lobe and transmits EEG data to the device 420 for EEG signal detection and concentration analysis through wireless communication including Bluetooth. The EEG 410 acquires EEG data and performs data processing and preprocessing for concentration analysis. In addition, the TCP protocol can be applied to guarantee lossless data transmission. The device 420 for detecting and analyzing the EEG signals interfaced with the EEG 410 in wireless communication receives the EEG data using a protocol agreed with the attached EEG device, Information can be grasped.

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 (12)

A method for detecting an EEG signal and an EEG-based concentration in an EEG-based concentration detecting apparatus,
The EEG signal detection and brain-wave-based concentration-of-concentration analyzing apparatus includes an EEG measuring device, a receiving unit, a preprocessing unit, an identifying unit, and a detecting unit,
Acquiring brain wave data of the user through an electrode attached to a frontal lobe position of a user who reduces distortion of an EEG signal according to a predetermined safety level in the EEG instrument;
Receiving, by the receiving unit, the obtained brain wave data from the brain wave measuring apparatus;
Performing a preprocessing process of extracting a signal necessary for analyzing the brain wave data of the user by performing noise removal and signal amplification on the received brain wave data in the preprocessing unit;
Inputting the pre-processed EEG data into a preset algorithm, converting EEG data of a time series signal into a frequency signal, and classifying brain wave data according to the converted frequency band; And
Detecting, by the detecting unit, concentration power through analysis of the classified EEG data;
Lt; / RTI >
The EEG measuring device includes:
A plurality of sensors and a ground for acquiring brain wave data of the user, acquiring brain wave data of the user using a plurality of channels,
Wherein the receiving comprises:
Receiving EEG data acquired by the EEG measuring device in cooperation with the EEG through wireless communication through a transmission control protocol (TCP)
A command for powering on the EEG apparatus as a defined protocol between the EEG apparatus and an apparatus to be interlocked with the EEG apparatus, a command for powering off the EEG measurement apparatus, a command for powering off the EEG measurement apparatus, A command for setting up the EEG apparatus to a normal mode, a command for setting up the EEG measurement apparatus in a stream mode, a command for displaying a battery status of the EEPROM, Lt; / RTI >
The EEG device measures real-time EEG data generated in the frontal lobe of the user and transmits real-time EEG data to the receiver,
The result of the concentration of the detected concentration in the detection of the concentration is changed in real time and the EEG data is measured in real time by the EEG measurement device, Further comprising the step of repeating from the acquiring step
Electroencephalogram signal detection and electroencephalogram - based concentration analysis method. delete The method according to claim 1,
The acquisition of the brain wave data of the user uses signals of two channels and is obtained by applying an independent component analysis method
Electroencephalogram signal detection and electroencephalogram - based concentration analysis method. delete The method according to claim 1,
The safety degree includes a first horizontal safety degree and a second horizontal safety degree having different polarities according to the left and right movement of the user's pupil and includes a vertical safety degree due to blinking of the user's eyes
Electroencephalogram signal detection and electroencephalogram - based concentration analysis method. The method according to claim 1,
The analysis of the EEG data uses a rule made by the neurophysiological EEG concentration indicator
Electroencephalogram signal detection and electroencephalogram - based concentration analysis method. The method according to claim 6,
The EEG data includes information on SMR (low beta) wave, Mid-Beta wave, and Theta wave
Electroencephalogram signal detection and electroencephalogram - based concentration analysis method. 8. The method of claim 7,
The neurophysiological EEG concentration indicator includes a value obtained by dividing the sum of the SMR (low Beta) wave and the Mid-Beta wave by the value of theta wave
Electroencephalogram signal detection and electroencephalogram - based concentration analysis method. A brain wave measuring apparatus for acquiring brain wave data of the user through an electrode attached to a frontal position of a user who reduces distortion of an EEG signal according to a predetermined safety level;
A receiving unit for receiving the obtained brain wave data from the EEG device;
A preprocessing unit for performing a preprocessing process of extracting a signal necessary for analysis of brain wave data of the user by performing noise removal and signal amplification on the received brain wave data;
An identification unit for inputting the pre-processed EEG data into a predetermined algorithm to convert EEG data of a time series signal into a frequency signal, and classifying the EEG according to the band of the converted frequency;
A detection unit for detecting a concentration of the brain waves by analyzing the classified EEG data; And
And a display unit
Lt; / RTI >
The EEG measuring device includes:
A plurality of sensors and a ground for acquiring brain wave data of the user, acquiring brain wave data of the user using a plurality of channels,
The receiver may further comprise:
Receiving EEG data acquired by the EEG measuring device in cooperation with the EEG through wireless communication through a transmission control protocol (TCP)
A command for powering on the EEG apparatus as a defined protocol between the EEG apparatus and an apparatus to be interlocked with the EEG apparatus, a command for powering off the EEG measurement apparatus, a command for powering off the EEG measurement apparatus, A command for setting up the EEG apparatus to a normal mode, a command for setting up the EEG measurement apparatus in a stream mode, a command for displaying a battery status of the EEPROM, Lt; / RTI >
The EEG device measures real-time EEG data generated in the frontal lobe of the user and transmits real-time EEG data to the receiver,
The result of the concentration power detected by the detection unit is changed in real time, and the EEG data is measured in real time by the EEG measurement apparatus, and after the concentration is detected, the EEG data is acquired again from the EEG measurement apparatus, doing
Electroencephalogram signal detection and electroencephalogram - based concentration analysis apparatus. delete delete 10. The method of claim 9,
Wherein the detecting unit uses a rule created by a neurophysiological EEG concentration indicator for analyzing the brain wave data
Electroencephalogram signal detection and electroencephalogram - based concentration analysis apparatus.

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