KR101017999B1 - The method and apparatus to process Brain Wave for driving Electric Machine - Google Patents

Abstract

The present invention is a brain wave signal processing apparatus and method for driving an electrical device that can obtain a precise movement of the device by generating a drive signal capable of more precise control by developing a computational processing system combining two or more brain waves of different frequency bands To provide a brain wave measurement unit for measuring the brain waves of two or more frequency bands measured in at least one or more of the frontal, mesopoli, and occipital lobe of the head, and to drive the electric motor of the brain waves measured by the brain wave measuring unit EEG extracting unit for extracting the EEG of the required state, and an operation processing unit for removing noise through a smoothing process and a differential operation based on the difference in amplitude and frequency of the EEG signal extracted from the EEG extracting unit And an A / D converter for converting the analog signal calculated by the operation processor into a digital signal; By adjusting the predetermined time (T) and the predetermined number (C) of the digital signal input from the A / D converter, compare the time interval (t) between the signal and the signal and the number of measured samples (c) It includes a signal processor for generating a drive signal for driving of.

EEG measurement, alpha wave, beta wave, smoothing, differential operation

Description

EEG signal processing apparatus and method for driving an electric device {The method and apparatus to process Brain Wave for driving Electric Machine}

The present invention relates to an apparatus and a method for controlling an electrical apparatus using a brain potential signal, and in particular, an electroencephalogram of a user detected by a detection sensor mounted on a user's head and equipped with a potential signal detection sensor at a specific position of the user's brain. The present invention relates to a new EEG signal processing apparatus and method for newly developing the operation method and driving it through visual feedback.

The first person to detect human brain waves was Hans Berger, who recorded two platinum electrodes under the skull defect of a traumatic head, and observed that they could be recorded later by simply placing electrodes on the scalp. This is called electroencephalogram, such as electrocardiogram (ECG) or electromyogram (EMG). And in 1935, the Gibbs couple, Harvard University, first recorded epilepsy at 3 Hz in a study of 12 small seizure children, and in 1947, the American Society for Brain Waves was founded and the first International Brain Waves Society was held. In 1958, the “International 10-20 system” was adopted as the standard for EEG measurement.

In the 1960s and 1970s, with the introduction of computers, multichannel analogue EEG detectors became commercially available and active research began.

Like this, the human brain is composed of numerous nerve cells and nerve fibers, and with chemical metabolism, it transmits information through electrical signals. Therefore, the EEG detector can detect specific current waveforms classified into alpha wave, beta wave, gamma wave, delta wave, theta wave, etc. according to the brain activity.

In addition, studies on devices for training specific EEG are detected, and patents related to EEG have been published so far. Most of them show results at the program level using a computer, and mainly in the form of game such as archery or racing. Is being developed. However, the long-term training while looking directly at the monitor in a limited space has disadvantages such as the occurrence of secondary stress and eye disease, including electroencephalogram interference due to electromagnetic problems or eye health.

In order to solve this disadvantage, a system that directly drives the device and operates according to the EEG intensity is required, rather than the type of computer game played directly on the monitor.

In addition, the conventional method of extracting and processing signals is to turn on only when the filtered signal is more than a certain size. In this way, the EEG signal processing method using only the size of the filtered signal is applied to external changes. It is difficult to determine the intended signal due to noise interference, and it is difficult to determine whether the noise interference actually represents an idea for driving the electric device. Therefore, it is necessary to eliminate such noise interference. For reference, the noise may include various potentials other than the original EEG when recording EEG. This is called noise. Since EEG is a very small and noise-sensitive signal, removing noise is an important element of EEG detection.

Therefore, the present invention has been made to solve the above problems, by developing an operation processing system combining two or more brain waves with different frequency bands to generate a drive signal capable of more precise control to obtain accurate movement of the device An object of the present invention is to provide an EEG signal processing apparatus and method for driving an electric device.

Another object of the present invention is to provide an EEG signal processing apparatus and method for driving an electric device that can visualize the EEG signal using the LCD, and visually feed it back to prevent the unintentional driving of the device.

Another object of the present invention is not intended to be due to noise interference caused by external changes by combining two or more brain waves from various frequency bands, not a signal using only the alpha waves, which are brain waves from a frequency band of about 8 to 13 Hz. The present invention provides an apparatus and a method for processing an EEG signal for driving an electric device that can prevent driving of a non-device.

Features of the EEG signal processing device for driving the electric device according to the present invention for achieving the above object is to measure the EEG of two or more frequency bands measured in at least one or more of the frontal lobe, the middle head, the occipital lobe of the head EEG measurement unit, EEG extraction unit for extracting the EEG of the state required for driving the electric motor of the EEG measured by the EEG measurement unit, Twenty based on the difference between the amplitude and frequency of the EEG signal extracted from the EEG extraction unit An arithmetic processing unit for removing noise through a smoothing process and a differential operation, an A / D converter for converting an analog signal calculated by the arithmetic processing unit into a digital signal, and a digital input from the A / D converter By adjusting the fixed time (T) and the fixed number of samples (C) in the signal, the time interval (t) between the signal and the signal and the number of measured samples May comprises a signal processing unit for generating a drive signal for driving the device by comparing (c).

Preferably, the arithmetic processing unit comprises a first arithmetic unit for extracting the EEG of the state required for driving the electric device by smoothing process and differential operation using alpha wave among the EEG extracted from the EEG extraction unit, and the EEG A second calculation unit for extracting the EEG in the state required for driving the electric drive by the smoothing process and differential calculation using the beta wave of the brain waves extracted by the extraction unit, and the alpha wave operation in the first calculation unit It includes a coupling unit for combining the detected first difference value and the second difference value detected by the operation of the beta wave in the second operation unit 320 to generate an EEG having a difference in amplitude and frequency in the stateless and concentrated state It features.

Preferably, the first operation unit extracts a predetermined rule by differentiating a first smoothing unit that processes a signal into a smooth graph through a smoothing process of an alpha wave, and a signal that has undergone the smoothing process, And a first absolute part which detects a difference between amplitude and frequency of the state and the concentrated state, and a first absolute part which converts a difference value of the amplitude and frequency detected by the first differential part into an absolute value.

Preferably, the second operation unit extracts a predetermined rule by differentiating the second smoothing unit which processes the signal into a smooth graph through a smoothing process of the beta wave, and the signal which has undergone the smoothing process, and is in a stateless state. And a second absolute part which detects a difference between the amplitude and the frequency of the concentrated state, and a second absolute part which converts the difference between the amplitude and the frequency detected by the first differential part into an absolute value.

Preferably, the signal processor counts the number of samples in the digital signal input from the A / D converter and generates and outputs a driving signal (Go Signal) in which the device moves when more than a predetermined number of samples is input. And a time interval t between the signal and the signal, and when the recorded time interval t exceeds a predetermined time T, a driving signal (Go Signal) and a measured sample generated by the signal counter. And a time counter for initializing the number of times to zero.

Features of the EEG signal processing method for driving an electric machine according to the present invention for achieving the above object is (A) EEG capable of distinguishing the state of the electric device in the EEG of at least two or more frequency bands measured by the EEG detection unit (B) generating a noise-free analog signal through a smoothing process and a differential operation based on the difference between the amplitude and the frequency of the extracted brain wave signal; (C) converting the analog signal into a digital signal, removing some pulse waves existing in a stateless state, and generating a driving signal having a continuous state of the signal broken in the middle of the concentrated state; D) transmitting the generated driving signal to the driving device to operate the corresponding device.

Preferably, the step (B) comprises receiving an alpha wave or a beta wave among the extracted brain waves, respectively, and processing the input signal as a smooth graph through the smoothing process, and the smoothing process. Deriving a predetermined rule by differentiating an alpha wave or a beta wave signal, respectively, and detecting a difference between the amplitude and the frequency of the stateless and the concentrated state, respectively, and the amplitude and frequency of the detected Converting the difference value into an absolute value, and converting the difference value between the amplitude and frequency of the alpha wave signal into an absolute value and the difference value between the amplitude and frequency of the beta wave signal into an absolute value And combining the second difference values to generate an EEG signal having a difference in amplitude and frequency between a stateless state and a concentrated state.

Preferably, the step (C) includes a step in which a signal counter for counting the number of samples counts the number of samples (c) one by one each time the digital signal is input, and the counted samples are greater than the predetermined number (C) of samples. If a large number (c) is input, generating a driving signal (Go Signal) for driving the device, recording a time interval (t) between the signal and the signal in the time counter for recording the time, the time counter If the time recorded in the time exceeds the predetermined time (T), and the initialization of the signal counter characterized in that it comprises the step of initializing the drive signal and the number (c) of the measured samples to zero (zero).

The EEG signal processing apparatus and method for driving an electric apparatus according to the present invention as described above has the following effects.

First, the effects of noise interference can be minimized by extracting the EEG in the state required for driving the electric motor by the smoothing process and the differential calculation.

Second, the EEG measurement unit may generate a driving signal by combining the EEG of two or more frequency bands measured in at least one or more of the frontal lobe, the middle head, and the occipital lobe of the head, thereby generating a driving signal capable of more precise control. .

Third, there is an effect of increasing the reproducibility by extracting the EEG in the state required for driving the electric device by the smoothing process and differential calculation.

Other objects, features and advantages of the present invention will become apparent from the following detailed description of embodiments with reference to the accompanying drawings.

A preferred embodiment of an EEG signal processing apparatus and method for driving an electric apparatus according to the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be embodied in various forms, and only the present embodiments are intended to complete the disclosure of the present invention and to those skilled in the art to fully understand the scope of the invention. It is provided to inform you.

1 is a block diagram showing an EEG signal processing apparatus for driving an electric device according to an embodiment of the present invention.

As shown in Figure 1, the EEG signal processing device is located in the upper head, the EEG measuring unit 100 for measuring the EEG of two or more frequency bands measured in at least one or more of the frontal lobe, the mesopharyngeal lobe, and the Based on the difference in the amplitude and frequency of the EEG signal extracted from the EEG extracting unit 200 and the EEG signal extracted from the EEG extraction unit 200 among the EEG measured by the EEG measuring unit 100 The arithmetic processing unit 300 for removing noise through a smoothing process and a differential operation, and the A / D converter 400 for converting the analog signal calculated by the arithmetic processing unit 300 into a digital signal. And a time interval t between the signal and the signal and the number of samples measured by adjusting a predetermined time T and a predetermined number C of the digital signal input from the A / D converter 400. ) By comparing And a signal processing section 500 for generating a driving signal for driving.

And the EEG required for driving the electric device extracted from the EEG extraction unit 200, as shown in Figures 2 to 4 includes a low signal (state) in the state, and alpha and beta waves in the concentrated state do.

2 (a) to 2 (d) show the EEG signals extracted from the frontal lobe region through the EEG extracting unit 200, and FIGS. 3 (a) to 3 (d) show the EEG extracting unit ( 200 shows the EEG signals extracted from the mesothelial region. 4 (a) to 4 (d) show the EEG signals extracted from the occipital lobe through the EEG extractor 200.

At this time, the frontal lobe region of Figs. 2 (a) to 2 (d) extracts EEG signals from the Fp1 and Fp2 portions, which are the forehead regions shown in Fig. 1, and the Figs. The mesenchymal region extracts EEG signals from the T3 and T4 regions, which are the central regions shown in FIG. 1. In addition, the occipital lobe region in FIGS. 4 (a) to 4 (d) extracts EEG signals from the O1 and O2 portions, which are the posterior head regions shown in FIG. 1.

On the other hand, the EEG signals shown in Figs. 2 (a), 3 (a) (b) and 4 (a) (b) represent row signals detected at respective sites. The signals shown in 2 (c) (d), 3 (a) (b) and Figs. 4 (a) (b) represent alpha and beta waves filtered from the low signal.

Looking at the signals shown in Figures 2 (a) (b) (c) (d) to 4 (a) (b) (c) (d), it can be seen that brain waves emerge most prominently in the occipital lobe compared to other sites. Can be. In other words, EEG for 15 seconds with eyes open and EEG for the remaining 15 seconds with eyes closed show a significant difference in EEG measured from the occipital lobe. Therefore, it is preferable to mainly use the EEG signal detected through the occipital lobe.

On the other hand, the operation processor 300 is a first to extract a brain wave of the state required for driving the electric device by smoothing (differential) operation and smoothing process using the alpha wave among the brain waves extracted by the brain wave extracting unit 200 Second operation unit for extracting the EEG in the state required for driving the electric device by a smoothing process and differential calculation using a beta wave of the brain wave extracted from the brain wave extraction unit 200 and the operation unit 310 ( 320 and the first difference value detected by the operation of the alpha wave by the first operation unit 310 and the second difference value detected by the operation of the beta wave by the second operation unit 320 are combined to drive the electric machine. It includes a coupling unit 330 for generating the EEG in the required state.

At this time, the first operation unit 310 and the second operation unit 320 have the same function and structure for the calculation of the EEG, hereinafter only the first operation unit 310 will be described and the second operation unit 320 is the first operation unit ( 310 and the detailed description thereof will be omitted.

The first operation unit 310 finds a predetermined rule by differentiating the first smoothing unit 312 that processes the signal into a smooth graph through a smoothing process of the alpha wave, and the signal that has undergone the smoothing process. The first differential unit 314 detects the difference between the amplitude and the frequency of the stateless and the concentrated state, and the first value converts the difference between the amplitude and frequency detected by the first differential unit 314 into an absolute value. It is comprised of the absolute part 316.

Meanwhile, the signal processor 500 counts the number of samples in the digital signal input from the A / D converter 400, and generates a driving signal (Go Signal) in which the device moves when more samples are input than the predetermined number of samples. The signal counter 510 to be outputted and a time interval t between the signal and the signal, and when the recorded time interval t exceeds a predetermined time T, the signal counter 510 generates the signal counter 510. And a time counter 520 for initializing the number of measured driving signals and the number of samples to zero.

Referring to the accompanying drawings, the operation of the EEG signal processing method for driving an electric device according to the present invention configured as described above will be described in detail as follows.

5 is a flowchart illustrating an operation of an EEG signal processing method for driving an electric device according to an embodiment of the present invention.

As shown in FIG. 5, first, the brain wave extracting unit 200 extracts brain waves in a state required for driving the electric device from the brain waves measured by the brain wave detecting unit 100 (S10). At this time, the brainwaves of the brainwaves extracted from the brainwave detection unit 100 are required to classify the state of the powertrain into a stationary state, an operation state, and the like, and thus are divided into brainwave states.

The state of the EEG is also required, for this purpose, the ability to change the state of the EEG according to the intention of the experimenter is required. That is, in the general state, the EEG shows that the low signal in the state shown in FIG. 6 (a) and the alpha wave and the beta wave shown in FIG. 6 (b) (c) show irregular movement. have. And the EEG in the gaze and concentration state is also found in the low signal of the brain wave shown in Fig. 7 (a) and the alpha wave and beta wave shown in Fig. 7 (b) (c) also notice the point or regular change It can be seen that it cannot be seen. Apart from concentration, the low signal of EEG and the movement of alpha and beta waves are still irregular.

As such, the conventional method could not find a direct change in the low signal in the no-state and the alpha and beta waves in the concentrated state by the experimenter's control. Therefore, through the operation processor 300 located in the next stage to find the intended experimental waveform of the experimenter by the calculation of the alpha wave and the beta wave.

That is, an analog signal from which noise is removed through a smoothing process and a differential operation based on a difference between an amplitude and a frequency of an EEG signal extracted from the EEG extractor 200 through the operation processor 300. To generate (S20).

Looking at the operation process of the operation processing unit 300 in more detail, the operation processing unit 300 is a first operation unit 310 for extracting the EEG in the state required for driving the electric drive by operating the calculation using the alpha wave, beta It is composed of a second calculation unit 310 for arithmetic processing using the wave to extract the brain waves of the state required for driving the electric device. At this time, the first operation unit 310 and the second operation unit 320 has the same function and structure for the calculation of the EEG.

The first and second calculators 310 and 320 receive alpha waves or beta waves from the brain waves extracted by the brain wave extracting unit 200 into the first and second smoothing units 312 and 322, respectively, and smoothing them. Through the process, the input signal is processed into a slow graph. 8 (a) and (b) show alpha waves and beta waves before the smoothing process, and FIG. 8 (c) (d) shows alpha waves and beta waves after the smoothing process. As shown in FIG. 8 (a) (b) (c) (d), it can be seen that a significant noise reduction occurs through the smoothing process.

Subsequently, the first and second differential units 314 and 324 differentiate the alpha wave and beta wave signals that have undergone smoothing, respectively, to find a predetermined rule, and detect the difference between the amplitude and frequency of the stateless and the concentrated state. And the difference between the amplitude and the frequency of the detected alpha wave and beta wave signals is converted into an absolute value through an absolute part. For reference, FIGS. 9A and 9B show an EEG waveform before differentiation through the first and second differentials 314 and 324, and FIGS. 9C and 9D show the first and second orders. EEG waveforms after differentiation through the eastern portions 314 and 324 are shown.

As shown in FIG. 9 (a) (b) (c) (d), if the signal undergoes the smoothing process of the alpha wave and the beta wave, the regular rule can be found through the differential process even for an irregular signal.

In addition, the calculation processing unit 300 and the first difference value detected by the operation of the alpha wave in the first operation unit 310 as shown in Fig. 10 (a) through the coupling unit 330 and in Fig. 10 (b) The second difference unit 320 combines the second difference value detected by the operation of the beta wave to generate the EEG as shown in FIG. 10 (c). As shown in the graph shown in FIG. 10 (c), it can be found that the amplitude and the frequency increase in the concentrated state during the multiplication operation of the two signals, and the difference between the amplitude and the frequency of the stateless and the concentrated state is driven by the electric apparatus. It will be used as the brainwave of the state necessary for.

Therefore, the A / D converter 400, as shown in Fig. 11 (a) (b), the analog signal having a difference in the amplitude and frequency of the stateless and concentrated state as shown in Fig. 11 (c) Convert to a digital signal.

In this case, since the digital signal converted by the A / D converter 400 is not a continuous signal but includes some noise, a signal processing process is required. In other words, it is necessary to remove some pulse waves existing in the stateless state, and to make the signal broken in the middle of the concentration state in a continuous state.

Accordingly, the signal processor 500 is configured by complementarily connecting two counters 510 and 520. Accordingly, as shown in FIG. 12 (a) (b), the signal and the signal are adjusted by adjusting a predetermined time T and a predetermined number C of the digital signal converted by the A / D converter 400. A driving signal for driving the device as shown in FIG. 12 (c) is generated by comparing the time interval t between the measured number of samples (c) (S40).

That is, the signal processor 500 counts the number of samples one by one whenever the signal counter 510 that counts the number of samples is inputted through the A / D converter 400. When more than a predetermined number C of samples is input, a driving signal (Go Signal) for driving the device is generated.

Time counter 520 also records the time. Since the digital signal initializes the time counter 520, the interval t between the signal and the signal is recorded in the time counter. Subsequently, when the time recorded in the time counter exceeds a predetermined time T, the signal counter 510 is initialized to initialize the driving signal and the number of measured samples to zero.

As a result, the two counters 510 and 520 generate a driving signal for driving the device when the number of samples is larger than a predetermined sample when the signal is continuously input within a predetermined time.

Subsequently, the generated 5V driving signal is applied to a motor used as a driving switch. When the corresponding motor is activated, the 5V driving signal is transmitted to the driving device and the corresponding device is operated (S50).

Although the technical spirit of the present invention described above has been described in detail in a preferred embodiment, it should be noted that the above-described embodiment is for the purpose of description and not of limitation. In addition, those skilled in the art will understand that various embodiments are possible within the scope of the technical idea of the present invention. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

1 is a block diagram showing an EEG signal processing apparatus for driving an electric device according to an embodiment of the present invention

Figure 2 is a waveform diagram showing the EEG extracted from the frontal lobe region through the EEG extraction unit in the present invention

Figure 3 is a waveform diagram showing the EEG extracted from the mesothelial region through the EEG extraction unit in the present invention

Figure 4 is a waveform diagram showing the EEG extracted from the occipital lobe region through the EEG extraction unit in the present invention

5 is a flowchart illustrating the operation of the EEG signal processing method for driving an electric device according to an embodiment of the present invention.

Figure 6 is a waveform diagram showing the general EEG extracted from the brain wave extraction unit in the present invention

7 is a waveform diagram showing the EEG in the concentrated state extracted through the EEG extraction unit in the present invention

8 is a waveform diagram showing before and after the EEG extracted through the smoothing unit of the present invention;

9 is a waveform diagram showing before and after the EEG extracted through the differential unit of the present invention;

10 is a waveform diagram showing before and after the EEG extracted through the coupling portion of the present invention;

11 is a waveform diagram showing before and after the EEG extracted through the A / D converter of the present invention.

12 is a waveform diagram showing before and after the EEG extracted through the signal processing unit of the present invention;

DESCRIPTION OF THE REFERENCE NUMERALS

100: EEG measurement unit 200: EEG extraction unit

210: alpha wave 220: beta wave

300: operation processing unit 310: first operation unit

320: second operation unit 312, 322: smoothing unit

314, 324: differential part 316, 326: absolute part

330: coupling 400: A / D converter

500: signal processing unit 510: signal counter

520: time counter

Claims (9)

EEG measuring unit for measuring the brain waves of two or more frequency bands measured in at least one or more of the frontal lobe, the frontal lobe, the occipital lobe of the head, EEG extraction unit for extracting the EEG of the state required for driving the electric device of the EEG measured by the EEG measurement unit; An arithmetic processing unit for removing noise through a smoothing process and a differential operation based on a difference in amplitude and frequency of the EEG signal extracted by the EEG extracting unit; An A / D converter converting the analog signal calculated by the operation processor into a digital signal; By adjusting the predetermined time (T) and the predetermined number of samples (C) in the digital signal input from the A / D converter, compare the time interval (t) between the signal and the signal and the number of measured samples (c) A signal processing unit for generating a driving signal for driving a; In this case, the signal processing unit A signal counter that counts the number of samples in the digital signal input from the A / D converter and generates and outputs a driving signal (Go Signal) that the device moves when more than a predetermined number of samples are input; The time interval t between the signal and the signal is recorded, and if the recorded time interval t exceeds a predetermined time T, the number of driving signals (Go Signal) and measured samples generated by the signal counter EEG signal processing apparatus comprising a time counter for initializing to zero. The method of claim 1, Electroencephalogram of two or more frequency bands includes an alpha wave and a beta wave. The method of claim 1, wherein the operation processing unit A first calculating unit which extracts the EEG in a state required for driving the electric device by performing a smoothing process and a differential operation using an alpha wave among the EEG extracted by the EEG extracting unit; A second operation unit for extracting the EEG in a state required for driving the electric device by performing a smoothing process and a differential operation using the beta wave among the EEG extracted by the EEG extraction unit; By combining the first difference value detected by the operation of the alpha wave in the first operation unit and the second difference value detected by the operation of the beta wave in the second operation unit 320 to determine the difference between the amplitude and frequency of the stateless and concentrated state EEG signal processing device characterized in that it comprises a coupling for generating a brain wave. The method of claim 3, wherein the first operation unit A first smoothing unit for processing a signal into a smooth graph through a smoothing process of an alpha wave, A first differential unit for extracting a predetermined rule by differentiating the signal that has undergone the smoothing process, and detecting a difference between amplitude and frequency in a stateless and concentrated state; EEG signal processing apparatus comprising a first absolute portion for converting the difference value of the amplitude and frequency detected by the first differential portion to an absolute value. The method of claim 4, wherein the second operation unit A second smoothing unit for processing the signal into a smooth graph through a smoothing process of the beta wave, A second differential unit for extracting a predetermined rule by differentiating the signal that has undergone the smoothing process, and detecting a difference between amplitude and frequency in a stateless and concentrated state; And a second absolute unit for converting the difference between the amplitude and the frequency detected by the first differential unit into an absolute value. delete (A) extracting an EEG signal that can distinguish the state of the electric motor from the EEG of at least two or more frequency bands measured by the EEG detection unit, (B) generating a noise-free analog signal through a smoothing process and a differential operation based on the difference in amplitude and frequency of the extracted EEG signal, (C) converting the analog signal into a digital signal, removing some pulse waves existing in a stateless state, and generating a driving signal having a continuous state of the signal broken in the middle of the concentrated state; (D) transmitting the generated driving signal to a driving device to operate the corresponding device; Step (C) is Counting the number of samples one by one each time the digital signal is input to the signal counter for counting the number of samples; Generating a driving signal (Go Signal) for driving the device when the number (c) of the counted samples is input more than the predetermined number (C); The interval t between the signal and the signal is recorded in the time counter for recording the time, and when the time recorded in the time counter exceeds the predetermined time T, the signal counter is initialized to reset the number of driving signals and the measured samples. and (c) initializing the signal to 0 (zero). The method of claim 7, wherein step (B) Receiving an alpha wave or a beta wave among the extracted brain waves, respectively, and processing the input signal as a smooth graph through a smoothing process; Detecting a predetermined rule by differentiating an alpha wave or a beta wave signal which has undergone the smoothing process, and detecting a difference between amplitude and frequency in a stateless and concentrated state, respectively; Converting values of amplitude and frequency of the detected alpha wave or beta wave signal into absolute values, respectively; Stateless and concentrated by combining a first difference value converted from the difference between the amplitude and frequency of the alpha wave signal into an absolute value and a second difference value converted from the difference between the amplitude and frequency of the beta wave signal into an absolute value Generating an EEG signal having a difference in amplitude and frequency of the state. delete

Images