KR101138740B1 - Brain wave detecting headset and method for judging whether brain wave detecting headset is worn - Google Patents

Abstract

PURPOSE: A brain wave detecting headset and a method for determining the wearing thereof are provided to determine the wearing of the brain wave detecting headset by comparing an object mean value and a wearing criteria range. CONSTITUTION: A brain wave detecting headset(10) comprises one or more brain wave detection electrodes(11a,11b,11c), an analog processing module(12), a digital processing module(13), a wearing determining unit(17), and a headset interface unit(16). The brain wave detecting headset can externally comprise a head band part and a module receiving part. The head band part is used in order to surround the outer surface of a user head. The brain wave detection electrode is installed on the inner side of the head band part. The analog processing module processes brain wave signals of the brain wave detection electrode which are analog signals. The digital processing module converts the analog signal into the digital signal.

Description

BRAIN WAVE DETECTING HEADSET AND METHOD FOR JUDGING WHETHER BRAIN WAVE DETECTING HEADSET IS WORN}

The present invention relates to an EEG headset and a method of determining whether to wear the same, and more particularly, to an EEG headset and a method of determining whether the EEG detection headset is worn correctly.

The human brain is the most resilient and adaptable in nature with emotions, perceptions, thoughts, and actions. The human brain is made up of hundreds of billions of neurons, each of which is connected in a number of interrelated ways with other neurons, a phenomenon known as synapses.

These interactions are the key to all human mental activities such as learning, memory, perception, behavior, and decision making, and are also responsible for the physical control of the body to maintain good health. These synapses are formed by chemical reactions, which are converted into electrical flow to the scalp to form brain waves. In other words, hundreds of billions of nerve cells interact with other nerve cells around them to transmit information. In the process, electrical signals are generated. So when you plug an electrode into your scalp and measure the change in electricity, the change in electricity is displayed as a wave, which is an EEG.

These brain waves have a variety of shapes according to the degree of brain activity, the more active the brain, the higher the frequency of the brain waves, the more comfortable the brain shows a phenomenon that the frequency is lower. Such brain waves include gamma waves, beta waves, alpha waves, theta waves, and delta waves.

Gamma waves have a center frequency of 40 Hz and range from 38 to 45 Hz, the fastest of the brain active waves, and appear when nervous and active complex mental functions are performed. In addition, the beta wave has a center frequency of 17.3 Hz and a range of 15 to 38 Hz. The beta wave appears in the cerebrum when active brain function is performed, and also appears when the brain is under tension or stress.

Alpha waves have a central frequency of about 10.3 Hz, ranging from 8 to 12 Hz, and predominantly occur in the occipital lobe of the occipital eye in awake state, not in consciousness or in the latent or unconscious state, mainly during relaxation and often before and after stress. appear.

Theta waves have a central frequency of about 6.3 Hz, ranging from 4 to 8 Hz, and predominantly in the cortical region of the brain. In other words, because they are dominantly involved in the emotional and emotional areas, they appear largely when making artistic efforts, when there are hurts in the mind, or when they are happy and happy at work or play.

The delta wave has a center frequency of about 1.3 Hz and its range is 0.5 to 4 Hz. The delta wave has the largest amplitude among the brain waves, so it has the strongest penetration and can move farther. It occurs mainly in the training, pons, and midbrain areas that are directly related to life, and appears predominantly during sleepy glands that stop the activities of the cortical areas that are involved in emotions and the neocortex (cerebral) that are involved in information input and output and thinking. .

In recent years, SMR (Sensory Motor Rhythm) para between beta and alpha waves has been actively studied for a new type of important EEG. SMR waves have a center frequency of 12.7 Hz and range from 12 to 15 Hz. It occurs predominantly in the cerebral (neocortical) region from below the ear to the center of the thunderstorm.

SMR waves are relevant when solving problems that require simple concentration, and appear when tension is required in consciousness. In other words, it is possible to concentrate in a state of being relaxed and to be able to perform easily, simply and accurately without being stressed. SMR waves have been shown to be more focused brain brains in that they have the ability to solve everything easily with less energy than beta waves.

In the field of using SMR waves, a variety of attempts are being made to detect concentration of human SMR waves and to concentrate concentration tests on games.

In the field of utilizing EEG such as SMR wave, such as concentration test or game, equipment for measuring SMR wave is required. In the case of general users such as games, a brainwave measuring device in the form of a headset may be utilized. .

When the SMR wave is used for the game as an index of concentration, for example, when a brainwave measuring device in the form of a headset is used as an input device of the game, the user wears the headset on his head to proceed with the game.

By the way, in the case of EEG measuring device, an electrode is installed in contact with the head of the real person, and the method of measuring the EEG transmitted through the electrode is used. Occasionally, noise from the outside is measured and operated. In particular, noise in the vicinity of the frequency of the commercial AC power used by the electronic device may be introduced through the electrode of the EEG measurement device.

Even when the noise is measured, the EEG measuring device incorrectly recognizes the measured value of the EEG, and if it is reflected in the game, the game is operated even when the EEG measurement is not performed. The credibility of the game form itself is reduced.

Accordingly, an object of the present invention is to provide an EEG detecting headset and a method of determining whether the EEG detection headset can be accurately determined whether the EEG detecting headset for EEG measurement is worn.

According to the present invention, in the method for determining whether to wear a brain wave detection headset having a head band portion that can be worn to wrap around the head of the person, and the brain wave detection electrode installed inside the head band portion in contact with the human head, (a) setting a wearing reference range value; (b) detecting an EEG measurement value at a predetermined measurement time unit based on a signal detected through the EEG detection electrode; (c) calculating an average of the n number of EEG measurement values detected immediately before the target EEG measurement value to be determined among the EEG measurement values as a reference average value; (d) calculating an average of the target EEG measurement value and n-1 EEG measurement values detected immediately before the target EEG measurement value as a target mean value; (e) setting a wearing reference range in which the wearing reference range value is set as a range based on the reference average value; (f) determining whether to wear the brainwave detection headset according to whether the target mean value is within the wearing reference range.

Here, the step (a) comprises the steps of (a1) wearing the brain wave detection headset on the head; (a2) detecting EEG measurement values during an initial measurement time set in units of the measurement time based on the signal detected by the EEG detection electrode; (a3) extracting a maximum value and a minimum value among the EEG measurement values detected in the step (a2); (a4) setting the deviation between the maximum value and the minimum value to the wearing reference range value.

In addition, step (a2) may be performed on a signal detected after a preset waiting time after the EEG headset is worn on the head.

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In addition, in step (e), the upper and lower thresholds of the wearing reference range may be represented by equations RR _Max = A _R + R _d / 2 and RR _Min = A _R -R _d / 2, where RR _Max Is the upper limit threshold value, RR _Min is the lower limit threshold value, A _R is the reference average value, and R _d is the wearing reference range value.

Further, in the step (e), the wearing reference range is corrected based on a reference correction value; The reference correction value may be calculated by an average of the target EEG measurement value and n EEG measurement values detected immediately before the target EEG measurement value.

Here, in the step (e), the upper and lower thresholds of the wearing reference range may be represented by the formulas RR _Max = A _R + R _d / 2 + α × Ac and RR _Min = A _R -R _d / 2- β × Ac (wherein RR _Max is the upper threshold, RR _Min is the lower threshold, A _R is the reference average, R _d is the wearing reference range, Ac is the reference correction value, α and β are predetermined weight constants).

In the step (f), when the target average value deviates by more than a predetermined number of times continuously from the wearing reference range, it may be determined that the EEG headset is not worn.

On the other hand, the above object is, according to another embodiment of the present invention, in the brain wave detection headset for detecting human brain waves, the head band portion which can be worn so as to wrap around the head of the person, and is provided inside the head band portion to the human head An EEG detecting electrode in contact, an analog processing module for processing an analog signal sensed by the EEG detecting electrode, a digital processing module for converting and processing an analog signal processed by the analog processing module into a digital signal, and the digital A wearing determination unit determining whether the brain wave detection headset is worn based on a digital signal converted by the processing module; (A) setting a wearing reference range value; (b) detecting an EEG measurement value in units of a predetermined measurement time based on the digital signal; (c) calculating an average of the n number of EEG measurement values detected immediately before the target EEG measurement value to be determined among the EEG measurement values as a reference average value; (d) calculating an average of the target EEG measurement value and n-1 EEG measurement values detected immediately before the target EEG measurement value as a target mean value; (e) setting a wearing reference range in which the wearing reference range value is set as a range based on the reference average value; (f) determining whether the brainwave detection headset is worn according to whether the average value of the subject falls within the wearing reference range. .

Here, the wearing determination unit in the step (a) (a1) wearing the brain wave detection headset on the head; (a2) detecting EEG measurement values during an initial measurement time set in units of the measurement time based on the signal detected by the EEG detection electrode; (a3) extracting a maximum value and a minimum value among the EEG measurement values detected in the step (a2); (a4) setting the deviation between the maximum value and the minimum value to the wearing reference range value.

In addition, the wearing determination unit may perform a signal detected after a preset waiting time after the EEG headset is worn on the head in the step (a2).

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In addition, the wear determining unit may determine the upper and lower threshold values of the wearing reference range in the step (e), respectively, in equations RR _Max = A _R + R _d / 2 and RR _Min = A _R -R _d / 2 ( Here, RR _Max is the upper limit threshold, RR _Min is the lower limit, A _R is the reference average value, and R _d is the wearing reference range value.

The wearing determining unit may further correct the wearing reference range based on a reference correction value in the step (e); The reference correction value can be calculated by the average of the target EEG measurement value and the n number of EEG measurement values detected immediately before the target EEG measurement value.

Here, the wear determination unit in the step (e) in the upper and lower threshold value of the wearing reference range, respectively, RR _Max = A _R + R _d / 2 + α × Ac and RR _Min = A _R -R _d / 2-β x Ac (wherein RR _Max is the upper threshold, RR _Min is the lower threshold, A _R is the reference mean, R _d is the wearing reference range, and Ac is the reference) A correction value and α and β are preset weight constants).

In the step (f), when the target average value deviates by more than a predetermined number of times continuously from the wearing reference range, it may be determined that the EEG headset is not worn.

According to the present invention by the configuration as described above, there is provided an EEG detecting headset and a method of determining whether or not wearing the EEG detecting headset for EEG measurement.

1 is a view showing an example of the use state of the brain wave detection headset and the game device according to the present invention,
2 is a control block diagram of an EEG headset and a game device according to the present invention;
3 is a view showing the configuration of an EEG headset according to the present invention,
4 and 5 are views for explaining a method for determining whether to wear the brain wave detection headset according to the present invention.

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

1 is a view showing the configuration of the brain wave detection headset 10 and the game device 30 using the same according to the present invention, Figure 2 is a view showing the configuration of the brain wave detection headset 10 according to the present invention, 3 is a control block diagram of the brain wave detection headset 10 and the game device 30 according to the present invention.

The brain wave detection headset 10 according to the present invention is provided to be worn by the user on the head and detects the brain wave of the user when the user wears it on the head. As illustrated in FIGS. 2 and 3, the brain wave detection headset 10 according to the present invention includes at least one brain wave detection electrode 11a, 11b, 11c, an analog processing module 12, and a digital processing module 13. The wear determination unit 17 and the headset interface unit 16 may be included. In addition, the brain wave detection headset 10 according to the present invention, as shown in FIG. 2, may externally include a head band portion 19 and a module receiving portion 18.

Head band portion 19 of the external configuration is provided to be worn to wrap around the user's head, as shown in Figures 1 and 2, the band form to wrap around the forehead of the person easy to detect brain waves Take the example provided by.

As illustrated in FIG. 2, the EEG detection electrodes 11a, 11b, and 11c are installed inside the head band portion 19 so that the user contacts the head, that is, the forehead of the human head when the user wears the head band portion 19. It is prepared to be. Here, in FIG. 2, four EEG detection electrodes 11a, 11b, and 11c are installed in the head band unit 19 at regular intervals, and the number of human brain waves is not limited. In addition, two electrodes among the four EEG detection electrodes 11a, 11b, and 11c serve as grounds. In the present invention, for example, the EEG detection is provided in a two-channel form in which EEG is detected through the two electrodes.

The analog processing module 12 processes the brain waves detected by the brain wave detection electrodes 11a, 11b, and 11c, that is, the detected brain wave signals in the form of analog signals. Here, the analog processing module 12 processes the EEG signal in the form of an analog signal, such as amplifying the analog signal detected by the EEG detecting electrodes 11a, 11b, and 11c or removing certain noise. Process as much as possible.

The digital processing module 13 converts the analog signal processed by the analog processing module 12 into a digital signal. Here, the digital processing module 13 according to the present invention uses an analog signal transmitted from the analog processing module 12, for example, an EEG signal required when the game device 30 is executed by using an analog signal for the entire region of the EEG. For example, an SMR wave level signal (hereinafter, referred to as a 'concentration level value') corresponding to a concentration force is generated.

In more detail with reference to FIG. 3, the digital processing module 13 according to the present invention may include an A / D converter 14 and a concentration level determiner 15. The A / D converter 14 converts an analog signal transmitted from the analog processing module 12, for example, an analog signal for the entire region of the EEG into a digital signal.

The concentration level determiner 15 generates the concentration level value based on the digital signal converted by the A / D converter 14. Here, the concentration level determining unit 15 extracts an SMR wave recognized as an index of concentration from the digital signal converted by the A / D converter 14 and generates a concentration level value according to the strength of the extracted SMR wave. For example. In addition, the concentration level determiner 15 may be provided to generate the concentration level value through the combination of the SMR wave and the setter wave related to the game or play.

On the other hand, the headset interface unit 16 is connected to the main body interface unit of the game device 30 to be described later, the digital signal processed by the digital processing module 13, for example, as described above, the concentration level value in the form of a digital signal To the game device 30. Here, the headset interface unit 16 according to the present invention is an example of transmitting a digital signal to the game device 30 by the UART (Universal Asynchronous Receiver / Transmitter) method of the asynchronous serial communication method, as shown in FIG. In the brain wave detection headset 10, a serial port for UART communication is installed.

The module accommodating unit 18 is installed in the headband to accommodate and support the analog processing module 12, the digital processing module 13, the headset interface unit 16, and the wear determination unit 17. In FIG. 2, the module accommodating part 18 is provided in the form of a hat window in front of the head band part 19. In addition, the analog processing module 12, the digital processing module 13, the wear determination unit 17, and the headset interface unit 16 are mounted on one printed circuit board 20 and accommodated in the module accommodating unit 18. The example is supported.

On the other hand, the wear determination unit 17 determines whether the brain wave detection headset 10 is worn on the basis of the digital signal converted by the digital processing module 13. Hereinafter, a method of determining whether the wear determining unit 17 according to the present invention determines whether the user wears the EEG headset 10 according to the present invention will be described in detail with reference to FIG. 4.

First, the wearing reference range value is set (S40). Here, the wearing reference range value is calculated using the EEG measurement value detected for a certain period of time after the user first wears the EEG headset 10. Hereinafter, a process of setting a wearing reference range value will be described in detail with reference to FIG. 5.

When the user wears the EEG headset 10 (S51), the EEG measurement value is detected based on the signals detected through the EEG detection electrodes 11a, 11b, 11c of the EEG headset 10 (S51). .

Here, in the detection process of the EEG detection value, the signal detected through the EEG detection electrode is converted into a digital signal by the digital processing module 13 after a process such as amplification by the analog processing module 12. The digital signals converted by the digital processing module 13 are detected as EEG measurements through a Fast Fourier Transform (FFT) process. Here, the detection of the EEG measurement value may be detected using a power spectrum value from a result of a known method, for example, a Fast Fourier Transform (FFT).

Here, the signal detected through the EEG detection electrodes 11a, 11b, and 11c has a waveform shape. The waveform is analyzed by a Fast Fourier Transform (FFT). do. In the present invention, since a commercial power source of Korea uses a frequency band of 60 Hz, frequencies around 60 Hz, for example, 58 Hz to 62 Hz, are analyzed through a Fast Fourier Transform (FFT). At this time, the EEG measurement values calculated through the Fast Fourier Transform (FFT) process reflect the resistance values of the EEG detection electrodes 11a, 11b, and 11c.

In the present invention, based on the signal detected by the EEG detection electrode, the EEG measurement value is calculated in a predetermined measurement time unit, for example, 1 second unit. For example, when the brain wave detection headset 10 according to the present invention is provided in the form of generating approximately 256 digital signals per second, a fast Fourier transform (FFT) is performed on 256 digital signals by setting one second as a measurement time unit. Fast Fourier Transform may be used to detect one EEG measurement value for the EEG detection electrodes 11a, 11b, and 11c in one second. Here, the measurement time unit may be changed in consideration of the processing speed of the Fast Fourier Transform (FFT), the accuracy of the measurement, and the like.

In addition, the measurement time unit may be set in units of the number of digital signals for performing a Fast Fourier Transform (FFT) instead of a time unit. For example, it may be provided to perform a Fast Fourier Transform (FFT) in units of six or ten digital signals. That is, in the present invention, the EEG measurement value may be measured using the digital signals converted during the measurement time unit set as the reference measurement time or the reference measurement number.

When the EEG measurement value is detected by the above method, it is determined whether the waiting time P1 has elapsed (S51). FIG. 6A illustrates an example of EEG measurement values detected in units of measurement time in an EEG headset, and EEG measurement values detected during the waiting time P1 are not used for setting a wearing reference range value. . Through this, it is possible to minimize the influence of the wearing state reference signal range by the noise generated during the wearing process of the brain wave detection headset 10, in the present invention, it is assumed that 3 seconds is set as the waiting time (P1).

On the other hand, if it is determined that the waiting time (P1) has elapsed, the EEG measurement value is stored (S53), the process of detecting the EEG measurement values for the predetermined initial measurement time (P2) is in progress. Referring to FIG. 5, steps S51 to S54 are repeatedly performed to collect EEG measurement values during an initial measurement time. In FIG. 6A, the initial measurement time is set to 10 seconds after the EEG headset 10 is worn and 7 seconds after the waiting time P1 has elapsed. have.

Then, the EEG measurement values detected during the initial measurement time P2 through the above process, for example, the maximum value and the minimum value of the seven EEG measurement values are extracted (S55). The deviation between the maximum value and the minimum value is calculated, and the calculated deviation is compared with the reference range value M (S56).

If the calculated deviation is greater than or equal to the preset reference value M, the wearing reference range value is set to the reference value M (S57). If the calculated deviation is less than the reference value M, the calculated deviation is set to the wearing reference range value. (S58). In the present invention, it is assumed that 1 is set as the reference value M.

Referring to FIG. 4 again, in the state where the setting of the wearing reference range value is completed through the above process, the EEG measurement is performed in units of measurement time based on the signal detected through the EEG detection electrodes 11a, 11b, and 11c. The value is detected. Here, the detection process of the EEG measurement detection value corresponds to the above-described description of step S51 of FIG.

As described above, the EEG measurement value is detected in units of measurement time, for example, as shown in FIG. 6B, after the above-described waiting time and initial measurement time have elapsed. It is determined whether the EEG headset 10 is worn.

More specifically, in FIG. 6B, the eleventh data becomes a target EEG measurement value to be determined, and an average of n EEG measurement values detected directly on the target EEG measurement value is calculated as a reference average value ( S43). Here, in the present invention, as shown in Fig. 6 (b), it is taken as an example that three consecutive EEG measurement values (P3) are applied to the calculation of the reference average value.

As described above, when the reference average value is calculated, the wearing reference range is calculated based on the reference average value and the wearing reference range value. In the present invention, a wearing reference range value is set as a range based on the reference average value.

More specifically, the upper and lower threshold values of the wearing reference range are calculated as shown in [Equation 1] and [Equation 2], respectively.

[Equation 1]

RR _Max = A _R + R _d / 2

[Equation 2]

RR _Min = A _R -R _d / 2

In Equations 1 and 2, RR _Max is an upper limit threshold, RR _Min is a lower limit threshold, A _R is a reference mean value, and R _d is a wearing reference range value.

In the present invention, in the setting of the wearing reference range, the correction using the reference correction value may be performed. The reference correction value is calculated from the target EEG measurement value and the average of n detected immediately before the target EEG measurement value, for example, the above-described three EEG measurement values, that is, the average of four (P5) EEG measurement values. Can be. The upper limit threshold value and the lower limit threshold value of the corrected wearing reference range may be expressed as in Equation 3 and Equation 4.

&Quot; (3) "

RR _Max = A _R + R _d / 2 + α × Ac

&Quot; (4) "

RR _Min = A _R -R _d / 2-β × Ac

Where RR _Max is an upper limit threshold, RR _Min is a lower limit threshold, A _R is a reference mean value, R _d is a wearing reference range value, Ac is a reference correction value, and α and β are preset weight constants. to be. In the present invention, as an example, α = 0.4 and β = 1.5 are applied as weighting constants.

Through such correction, the noise value introduced through the EEG detection electrodes 11a, 11b, and 11c of the EEG detection headset 10 shows a tendency to continuously decrease after the EEG detection headset 10 is worn. When the noise drop range is large, the maximum value and the minimum value used for setting the wear reference range value can prevent the phenomenon of not following the drop of the noise.

On the other hand, if the wearing reference range is set as described above, the target average value (Ao) that is the target of the wearing decision is calculated (S45). Here, the target mean value is calculated through the average of the target EEG measurement value and two EEG measurement values including n-1 detected immediately before the target EEG measurement value, that is, the target EEG measurement value.

Then, when the calculation of the target average value Ao is completed, it is determined whether the brainwave detection headset 10 is worn according to whether the target average value Ao is included in the wearing reference range (S46).

That is, when the target average value Ao is included in the wearing reference range, it is determined that the current brain wave detection headset 10 is worn (S49). On the other hand, if it is determined that the target average value Ao is out of the wearing reference range, the brain wave detection headset 10 may be regarded as unworn.

Here, in the present invention, the case where the target average value Ao is continuously out of the reference range of K times or more, that is, when the number of times determined as non-wearing in step S46 appears more than K consecutively, the EEG headset 10 is not worn. It may be determined as the state (S48).

Although several embodiments of the present invention have been shown and described, those skilled in the art will appreciate that various modifications may be made without departing from the principles and spirit of the invention . It is intended that the scope of the invention be defined by the claims appended hereto and their equivalents.

10: EEG detection headset 11a, 11b, 11c: EEG detection electrode
12: analog processing module 13: digital processing module
14: A / D conversion unit 15: concentration level determination unit
16: headset interface unit 17: wear determination unit
30: game device
31: main body interface unit 32: graphics processing unit
33: display unit 34: game execution unit
35: user input unit

Claims (16)

In the method of determining whether to wear a brain wave detection headset having a head band portion that can be worn to wrap around the head of the person, and the brain wave detection electrode provided inside the head band portion in contact with the human head,
(a) setting a wearing reference range value;
(b) detecting an EEG measurement value at a predetermined measurement time unit based on a signal detected through the EEG detection electrode;
(c) calculating an average of the n number of EEG measurement values detected immediately before the target EEG measurement value to be determined among the EEG measurement values as a reference average value;
(d) calculating an average of the target EEG measurement value and n-1 EEG measurement values detected immediately before the target EEG measurement value as a target mean value;
(e) setting a wearing reference range in which the wearing reference range value is set as a range based on the reference average value;
(f) determining whether the brainwave detection headset is worn according to whether the target mean value is within the wearing reference range. The method of claim 1,
In step (a),
(a1) wearing the brain wave detection headset on a head;
(a2) detecting EEG measurement values during an initial measurement time set in units of the measurement time based on the signal detected by the EEG detection electrode;
(a3) extracting a maximum value and a minimum value among the EEG measurement values detected in the step (a2);
and (a4) setting a deviation between the maximum value and the minimum value as the wearing reference range value. The method of claim 2,
Wherein (a2) step is performed on the signal detected after a predetermined waiting time after the brain wave detection headset is worn on the head, the method of determining whether to wear the brain wave detection headset. delete The method of claim 2,
In the step (e), the upper and lower thresholds of the wearing reference range are represented by equations RR _Max = A _R + R _d / 2 and RR _Min = A _R -R _d / 2, where RR _Max is the And RR _Min is the lower threshold, A _R is the reference average value, and R _d is the wearing reference range value. The method of claim 2,
In the step (e), the wearing reference range is corrected based on a reference correction value;
And the reference correction value is calculated by an average of the target EEG measurement value and n number of EEG measurement values detected immediately before the target EEG measurement value. The method of claim 6,
In the step (e), the upper and lower thresholds of the wearing reference range are represented by equations RR _Max = A _R + R _d / 2 + α × Ac and RR _Min = A _R -R _d / 2-β × Ac (wherein RR _Max is the upper threshold value, RR _Min is the lower threshold value, A _R is the reference average value, R _d is the wearing reference range value, Ac is the reference correction value, α and β is a predetermined weight constant). The method according to any one of claims 1 to 7,
In the step (f), it is determined whether the brainwave detection headset is not worn when the target mean value deviates more than a predetermined number of times continuously from the wearing reference range. In the brain wave detection headset for detecting human brain waves,
Head band part which we can wear to surround the head circumference of person,
An electroencephalogram detection electrode provided inside the head band part and in contact with a human head;
An analog processing module for processing an analog signal sensed by the brain wave detection electrode;
A digital processing module for converting and processing analog signals processed by the analog processing module into digital signals;
A wearing determination unit determining whether the brain wave detection headset is worn based on the digital signal converted by the digital processing module;
The wear determination unit,
(a) setting a wearing reference range value;
(b) detecting an EEG measurement value in units of a predetermined measurement time based on the digital signal;
(c) calculating an average of the n number of EEG measurement values detected immediately before the target EEG measurement value to be determined among the EEG measurement values as a reference average value;
(d) calculating an average of the target EEG measurement value and n-1 EEG measurement values detected immediately before the target EEG measurement value as a target mean value;
(e) setting a wearing reference range in which the wearing reference range value is set as a range based on the reference average value;
and (f) determining whether to wear the brain wave detecting headset according to whether the target mean value is within the wearing reference range. 10. The method of claim 9,
The wearing determination unit in the step (a),
(a1) wearing the brain wave detection headset on a head;
(a2) detecting EEG measurement values during an initial measurement time set in units of the measurement time based on the signal detected by the EEG detection electrode;
(a3) extracting a maximum value and a minimum value among the EEG measurement values detected in the step (a2);
and (a4) setting a deviation between the maximum value and the minimum value as the wearing reference range value. The method of claim 10,
The wearing determining unit detects an EEG of a human, characterized in that for performing the signal detected after a predetermined waiting time after the EEG headset is worn on the head in the step (a2). delete The method of claim 10,
The wear determination unit,
In the step (e), the upper and lower thresholds of the wearing reference range are respectively represented by equations RR _Max = A _R + R _d / 2 and RR _Min = A _R -R _d / 2, where RR _Max is And an upper limit threshold value, RR _Min is the lower limit threshold value, A _R is the reference average value, and R _d is the wearing reference range value). The method of claim 10,
The wear determination unit,
In the step (e), correcting the wearing reference range based on a reference correction value;
And the reference correction value is calculated based on the average of the target EEG measurement value and the n number of EEG measurement values detected immediately before the target EEG measurement value. The method of claim 14,
The wear determination unit,
In the step (e), the upper and lower thresholds of the wearing reference range are respectively represented by equations RR _Max = A _R + R _d / 2 + α × Ac and RR _Min = A _R -R _d / 2-β × Ac (wherein RR _Max is the upper threshold value, RR _Min is the lower threshold value, A _R is the reference average value, R _d is the wearing reference range value, Ac is the reference correction value, α and β is a predetermined weight constant). 16. The method according to any one of claims 9 to 15,
In the step (f), the brain wave detection headset for detecting brain waves of a human being characterized in that it is determined that the brain wave detection headset is not worn when the target average value deviates more than a predetermined number of times consecutively from the wearing reference range.

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