KR102320009B1 - Dementia diagnosis device using brain wave analysis - Google Patents

Abstract

The present invention relates to a dementia diagnosis device using brain wave analysis to prevent diagnosis avoidance of a subject and encourage the subject's voluntary participation in diagnosis. According to the present invention, the dementia diagnosis device comprises: a sensing unit provided with a plurality of sensing electrodes coming in contact with the front left and right sides of the head corresponding to the prefrontal region of a user to sense the user's brainwave signal; a sampling unit generating segmented brain wave information of a time series information type dividing the brainwave signal sensed by the sensing unit into a unit of a preset sampling interval; a determination unit using global field synchronization (GFS) to calculate a synchronization value of the segmented brainwave information generated from the sampling unit and determining whether the user has dementia through a synchronization value calculation result for each preset frequency band; and an output unit outputting a determination result of the determination unit in a numerical information type.

Description

Dementia diagnosis device using EEG analysis {DEMENTIA DIAGNOSIS DEVICE USING BRAIN WAVE ANALYSIS}

The present invention relates to a dementia diagnosis apparatus for performing dementia diagnosis by analyzing a user's brain waves.

In Korea, an aging society is rapidly progressing, and the number of dementia patients is also rapidly increasing. The economic cost of managing and treating dementia patients is increasing exponentially every year, and investments and efforts are continuing to solve it.

Currently, the method for diagnosing dementia in hospitals is generally performed through a psychological questionnaire, but since the method of diagnosing dementia through a psychological questionnaire depends on the questionnaire response of the subject, it is difficult to accurately determine whether or not dementia is present. In addition, there is a problem in that a lot of time is required for diagnosis.

In order to solve this problem, in the Republic of Korea Patent Publication No. 10-1873247 (application date: August 22, 2016, publication date: August 2, 2018, hereinafter referred to as 'prior art'), the serum of dementia patients through biomarkers A technique has been disclosed that can check whether dementia is present with relatively high accuracy compared to the psychological questionnaire method through the occurrence of the included specific antibody.

However, in the prior art, since dementia is determined through blood transfusion, a rejection of the measurement target diagnosis may occur, exposure to the risk of secondary infection according to blood transfusion, as well as mildness that may lead to dementia or dementia Since it is difficult to identify the cause of cognitive impairment, and the generation of antibodies and changes in antibody concentration do not occur in a short period of time, it is difficult to immediately determine whether the training performed to prevent dementia or mild cognitive impairment is actually helping. There was a difficult problem.

The present invention provides an apparatus for diagnosing dementia using EEG analysis capable of determining whether dementia or mild cognitive impairment and providing detailed information on the cause of dementia or mild cognitive impairment in order to solve the above problems aim to

An apparatus for diagnosing dementia using EEG analysis according to an embodiment of the present invention includes: a sensing unit provided with a plurality of sensing electrodes contacting the front left and right sides of a head corresponding to a prefrontal region of a user, and sensing the user's EEG signal; a sampling unit generating segmented EEG information in the form of time series information obtained by dividing the EEG signal sensed by the sensing unit into a unit of a preset sampling interval; a determination unit that calculates a synchronization value of the segmented EEG information generated from the sampling unit using Global Field Synchronization (GFS), and determines whether the user has dementia through a predetermined synchronization value calculation result for each frequency band; and an output unit for outputting the determination result of the determination unit in the form of numerical information.

Here, the sensing unit may include: a first sensing portion provided with at least two sensing electrodes in contact with the left region based on the center of the head corresponding to the frontal region of the user; and a second sensing part provided with at least two sensing electrodes in contact with the right region symmetrical to the contact position of the first sensing part with respect to the center of the head corresponding to the prefrontal region of the user, wherein the sampling unit includes: It is characterized in that it generates an individual divided EEG signal from the EEG signal sensed by each sensing electrode.

And, the determination unit, a transformation unit for generating the transformed EEG information converted into the frequency domain through the divided EEG information through a Fourier transform; a classification unit for classifying the transformed EEG information into a plurality of predetermined frequency bands; The complex value of the transformed EEG information is calculated for the frequency band classified by the classification part, and at least two or more eigenvalues are obtained through Principle Component Analysis (PCA) for the coordinates of the calculated complex value on the complex plane. a calculation unit for obtaining and calculating a synchronization value from the obtained at least two or more eigenvalues; and a determination unit for determining whether dementia is present through the synchronization value of the converted EEG information for at least one frequency band among a plurality of frequency bands specified in advance calculated by the calculation unit.

In this case, the calculation part includes a first eigenvalue (P1, First Principle Component) having the largest value among the eigenvalues of the transformed EEG information obtained through principal component analysis and a second eigenvalue (Second) having a property orthogonal to the first eigenvalue. principle component), and substituting the calculated first and second eigenvalues into Equation 1 below to calculate a synchronization value.

(Formula 1)

S(f): Synchronization value

P(f) ₁ : first eigenvalue

P(f) ₂ : second eigenvalue

At this time, the classification part divides the converted EEG information into a delta band of 1 Hz to 3.5 Hz, a theta band of 3.5 Hz to 7 Hz, an alpha band of 8 Hz to 12 Hz, and a beta of 13 Hz to 30 Hz. ) band or a gamma (Ganna) band of 31 Hz to 50 Hz.

And, the determination unit determines whether the synchronization value of the converted EEG information of the theta band calculated from the EEG signals sensed by the first and second sensing units by the calculation unit exceeds a preset reference value, It is characterized in that the first result information is generated according to the size of the waveform of the converted EEG information of the theta band confirmed to exceed the reference value.

In addition, the determination unit determines whether the synchronization value of the converted EEG information of the alpha band calculated from the EEG signals sensed by the first and second sensing units by the calculation unit exceeds a preset reference value, and preset It is characterized in that the second result information is generated according to the degree of coincidence between the waveform formed by the converted EEG information of the alpha band, which is confirmed to exceed one reference value, and the pre-stored reference waveform.

In addition, the determination part is the first sensing part among the synchronization values of the converted EEG information of the delta, theta, alpha, beta and gamma bands calculated by the calculation part from the EEG signals sensed by the first and second sensing parts. Whether the first synchronization value for the EEG signal sensed by the plurality of sensing electrodes constituting According to the size of the difference calculation result value between the first synchronization value and the second synchronization value for each of the converted EEG information in the delta, theta, alpha, beta, and gamma bands confirmed to have exceeded the preset reference value, 3 It is characterized in that the result information is generated.

In addition, the determination unit determines whether the synchronization value of the converted EEG information of the theta, beta and gamma bands calculated from the EEG signals sensed by the first and second sensing units by the calculation unit exceeds a preset reference value. and the fourth result according to the ratio between the transformed EEG information in the theta band, which is confirmed to have exceeded the preset reference value, and the transformed EEG information in the beta and gamma band, which is confirmed to exceed the preset reference value. It is characterized by generating information.

In addition, the determination unit applies different weights to each of the first, second, third and fourth result information, and adds the weighted first, second, third and fourth result information to the user. It is characterized in that the composite index is calculated according to the presence or absence of dementia.

In the dementia diagnosis apparatus using EEG analysis according to the present invention, the plurality of sensing electrodes constituting the sensing unit are in contact with the left and right regions of the user's forehead in a non-adhesive form to enable sensing of EEG signals of the target, so that the invasiveness is inserted into the head Compared to the EEG measurement method using the type or adhesive type sensor, the measurement object's rejection of diagnosis is less, so there is an effect of preventing the measurement object from avoiding the diagnosis and voluntary participation in the diagnosis.

In addition, the apparatus for diagnosing dementia using EEG analysis according to the present invention comprehensively checks the size of the theta band frequency component of the user, the shape of the alpha band frequency component, the balance between the left brain and the right brain, and whether the user is in hyper-arousal state. There is an effect of being able to confirm not only whether dementia is present, but also mild cognitive impairment that can be made up of dementia by performing the determination of whether the person has mild cognitive impairment or dementia.

1 shows an apparatus for diagnosing dementia using EEG analysis according to a preferred embodiment of the present invention.
2 shows an example of a method of calculating a dominant frequency band from a user's EEG signal sensed through a single sensing electrode in the apparatus for diagnosing dementia using EEG analysis according to a preferred embodiment of the present invention.

Hereinafter, a preferred embodiment of the apparatus for diagnosing dementia using EEG analysis of the present invention will be described in detail with reference to the accompanying drawings.

Like reference numerals in each figure denote like elements. In addition, specific structural or functional descriptions for the embodiments of the present invention are only exemplified for the purpose of describing the embodiments according to the present invention, and unless otherwise defined, all terms used herein, including technical or scientific terms They have the same meaning as commonly understood by those of ordinary skill in the art to which the present invention pertains. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present specification. It is preferable not to

1 shows a dementia diagnosis apparatus using EEG analysis according to a preferred embodiment of the present invention, and FIG. 2 is a dementia diagnosis apparatus using EEG analysis according to a preferred embodiment of the present invention. An example of a method of calculating the dominant frequency band from the user's EEG signal is shown.

Referring to FIG. 1 , the apparatus 100 for diagnosing dementia using EEG analysis according to a preferred embodiment of the present invention provides an EEG signal of a user when the user's lungs are seated on a chair or sofa, and an external stimulus through audiovisual in the open-eye state. Dementia may be diagnosed by continuously measuring the user's EEG signals in a situation, and may include a sensing unit 110 , a sampling unit 120 , a determination unit 130 , and an output unit 140 .

The sensing unit 110 is provided with a plurality of sensing electrodes contacting the front left and right sides of the head H corresponding to the prefrontal region of the user to sense the user's EEG signal, and the first sensing portion 112 and the second A sensing portion 114 may be included.

The first sensing part 112 is provided with at least two sensing electrodes E in contact with the left region of the forehead corresponding to the prefrontal region of the user, and the second sensing part 114 also includes the first sensing part 112 and The same at least two or more sensing electrodes (E) may be provided, and may be arranged in a form in contact with the right region symmetrical to the contact position of the first sensing part 112 with respect to the center of the forehead in the forehead region of the user. That is, the first sensing part 112 and the second sensing part 114 may be provided in a form in which a pair of sensing electrodes E are divided into left and right regions based on the user's forehead, respectively, The number of sensing electrodes E constituting the first sensing part 112 and the number of sensing electrodes E constituting the second sensing part 114 may be the same, and each sensing electrode E The sensing unit 110 determines the contact state of the first sensing part 112 and the second sensing part 114 in the left and right regions of the user's forehead so as to be in contact with a position symmetrical with respect to the central region of the user's forehead. To be maintained, the sensing electrode E and the second sensing part 114 are provided in the form of a band fixable on the user's head (H), and form the first sensing part 112 in the inward direction in contact with the user's forehead. It may be provided in a form in which a fixing part (not shown) in which the sensing electrodes E forming the symmetrical shape are further included. In addition, the sensing unit 110 minimizes the occurrence of artifacts and noise due to the user's eye blinking, movement, etc., and allows the theta wave to be measured smoothly, in a state in which the user is seated on a chair or sofa with the lungs in the entire sensing process. A process for measuring the EEG signal in the can be provided. The sensing of the brain wave signal of the user in the lung state through the sensing unit 110 is based on the fact that the magnitude of the theta band frequency component of the dementia patient is measured as a larger value than that of a normal person, and theta wave is a quiet concentration such as memory recall or meditation. As it has a property that is relatively well observed in the state, it is made in a way that induces the generation of theta wave.

The sampling unit 120 divides each EEG signal sensed from the plurality of sensing electrodes E constituting the sensing unit 110 into a unit of a preset sampling interval, divided EEG information in the form of time series information. can create Here, the sampling unit 120 may divide the EEG signal sensed from each sensing electrode E in the form of a time (T)-response (R) graph in units of 1 second (Sec), as shown in FIG. 2 . In other words, the divided EEG information generated by the sampling unit 120 is in the form of unit information obtained by dividing the EEG signal sensed from each sensing electrode E in units of 1 second.

Before describing the detailed configuration of the determination unit 130 with reference to the accompanying drawings, the calculation of the synchronization value of the GFS, which is a criterion for determining whether dementia is performed by the determination unit 130 of the present invention, will be briefly described. , the determination unit 130 interprets the EGG (Electroencephalogram, electroencephalogram) waveform obtained through the plurality of sensing electrodes E constituting the sensing unit 110 with respect to the electrical activity observed in the brain activity, and the EGG waveform of the general public. The purpose of this is to determine whether the user (= measurement target) has dementia or mild cognitive impairment that can develop into dementia by comparing it with the analysis results of At this time, the determination unit 130 determines whether dementia or mild cognitive impairment from the EGG waveform displayed in the form of a time (T)-response (R) graph, which is an alpha wave, a beta wave, and a gamma wave. ) wave, delta wave, and theta wave are based on checking the waveform and size of the frequency band. Here, since the EGG waveform is sensed using a plurality of sensing electrodes (E), the synchronization value between the signals measured at each sensing electrode (E) is calculated, and the EGG waveform sensed by each sensing electrode (E) is synchronized. By checking the degree, the same judgment can be applied to a plurality of EGG waveforms. The determination part 138 of the determination unit 130, which will be described later, includes EGG waveforms, alpha, beta, and gamma of normal people, so as to clearly determine whether the measurement target is dementia or mild cognitive impairment. Statistical data for synchronization values for , delta, and theta frequency bands are pre-stored, but may be prepared in a form including a database in which statistical data can be updated by a subsequent calculated value.

1 to 2 , the determination unit 130 according to a preferred embodiment of the present invention based on the above description synchronizes the segmented EEG information generated from the sampling unit 120 using Global Field Synchronization (GFS). It is possible to calculate the value and determine whether the user has dementia through the result of calculating the synchronization value for each frequency band specified in advance. may include

The transform unit 132 may generate transformed EEG information obtained by transforming the segmented EEG information generated by the sampling unit 120 into a frequency domain through a Fourier transform.

The classification unit 124 may classify the transformed EEG information for each of a plurality of predetermined frequency bands. Here, the converted EEG information 1Hz to 3.5Hz delta (Delta) band, 3.5Hz to 7Hz theta (Theta) band, 8Hz to 12Hz alpha (Alpha) band, 13Hz to 30Hz beta (Beta) band or 31Hz to It is classified as at least one frequency band among 50 Hz gamma bands.

That is, as shown in FIG. 2, the transformation part 132 converts the divided EEG information in the form of a time (T)-response (R) graph divided into units of 1 second through a Fourier transform in the form of a frequency (F)-response (R) graph. converted into EEG information, and the classification part 134 is converted into an alpha wave, a beta wave, a gamma wave, a delta wave, and theta wave frequency band, respectively. will be classified

In addition, the calculation unit 136 calculates the complex value of the transformed EEG information for the frequency band classified by the classification unit 134, and analyzes the principal components for the real and imaginary coordinates of the calculated complex value on the complex plane. At least two or more eigenvalues are obtained through Principle Component Analysis (PCA), and a synchronization value is calculated from the obtained at least two or more eigenvalues.

In more detail, the transformed EEG information transformed into the frequency domain has a complex value divided into a real part and an imaginary part, and the complex value can be represented for each frequency band classified by the classification part 134 on the complex plane. In the above method, the calculation part 136 receives each EEG signal sensed from the plurality of sensing electrodes E through the sampling part 120, the change part 132, and the classification part 134. After Fourier transformation, the real part and It is expressed on a complex plane consisting of imaginary parts. The calculation unit 136 may represent as many values as the number of sensing electrodes E for each frequency band classified by the classification unit 134 on the complex plane. Thereafter, the calculation part 136 performs a principal component analysis (PCA) using the coordinates of the real and imaginary parts of the complex plane, the largest value among the eigenvalues and the first component in the principal component analysis. One eigenvalue (P(f) _{1 ) is obtained, and a second eigenvalue (P(f) 2} ) corresponding to the second component (secondprinciplecomponent) having a property orthogonal to the first component is obtained. By substituting into <Equation 1> for the two eigenvalues obtained by principal component analysis, a synchronization value (GFS value, S(f)) can be obtained, where the synchronization value (S(f)) is between 0 and 1. While having a value, the closer to 1, the more it is determined that the EEG signal sensed through the plurality of sensing electrodes (E) is a synchronized signal, and the closer to 0, the more it is determined that the signal is not synchronized.

<Equation 1>

S(f): Synchronization value

P(f) ₁ : first eigenvalue

P(f) ₂ : second eigenvalue

The determination unit 138 may determine whether dementia is based on the size of the synchronization value of the converted EEG information for at least one frequency band among a plurality of predetermined frequency bands calculated by the calculation unit 136 . Here, as described above, the determination unit 138 compares the synchronization value for each frequency band obtained from the EEG signal of the user (= measurement target) with the synchronization value for each frequency band uttered from the pre-stored EEG signal of a normal person for mild cognitive impairment. Or it can be determined whether or not dementia. Here, the determination unit 138 comprehensively checks the size of the theta band frequency component of the user, the shape of the alpha band frequency component, the balance between the left and right brain, and whether the user is in a hyper-arousal state, to determine whether the user has mild cognitive impairment or dementia. carry out

Here, the determination unit 138 determines the size of the frequency component of the theta band of the user, the calculation unit 136 determines the synchronization value of the converted EEG information of the theta band from the EEG signal measured from the user is set in advance. It is checked whether the value is exceeded (= whether it is a synchronized signal), and the frequency of the converted EEG information of the theta band of a normal person in which the size of the frequency component formed by the converted EEG information of the theta band of the user confirmed to be exceeded is pre-stored. Only when it is larger than the size of the component, the first result information is generated by including a numerical value that increases in proportion to the size of the difference.

In addition, the determination unit 138 determines the shape of the alpha band frequency component, the calculation unit 136 calculates from the EEG signal measured by the user, the synchronization value of the converted EEG information of the alpha band is a preset reference value. Check whether it is exceeded (= whether it is a synchronized signal), and the frequency shape and image processing made by the transformed EEG information of the alpha band of a normal person is checked for the shape of the frequency formed by the converted EEG information of the user's alpha band, which is confirmed to be exceeded. Through the comparison of the area of the frequency shape through the comparison of the difference between the upper and lower average values of the peak values, the difference in shape or the amplitude of the frequency formed by the converted EEG information of the user's alpha band and the converted EEG of the alpha band of a normal person The second result information is generated by digitizing at least one of the differences in the amplitudes of the frequencies made by the information.

And, the determination unit 138 is converted EEG information of the delta, theta, alpha, beta and gamma bands calculated from the EEG signals measured by the calculation unit 136 from the user in order to check whether the user's left brain and right brain are balanced. It is checked whether the synchronization value of has exceeded a preset reference value (= whether it is a synchronized signal), and among the synchronization values confirmed to be exceeded, the EEG signals sensed from a plurality of forming the first sensing part 112 . The third result information is generated by including a numerical value that increases in proportion to the size of the difference calculation result value between the first synchronization value for , and the second synchronization value for the EEG signal sensed by the second sensing unit 122 .

In addition, the determination unit 138 is a synchronization value of the converted EEG information of the delta, theta, beta and gamma bands calculated from the EEG signal measured by the calculation unit 136 from the user in order to determine whether the user is in a hyper-arousal state. Check whether the preset reference value has been exceeded (= whether it is a synchronized signal), and the ratio of the converted EEG information of the user's delta and theta bands and the converted EEG information of the beta and gamma bands confirmed to be exceeded (Ratio) to digitize the converted EEG information of the beta and gamma bands compared to the converted EEG information of the delta and theta bands by setting the converted EEG information of the delta and theta bands to 1 to generate the fourth result information.

Thereafter, the determination unit 138 may calculate a composite index for determining whether the user has mild cognitive impairment or dementia by weighting the calculated first, second, third and fourth result information. Composite index calculation can be made by applying a large weight to the first and second result information, which has a greater weight in determining whether dementia is present, than the third and fourth result information, and the calculated composite index can be expressed in percentage form.

The output unit 140 may output the determination result of the above-described determination unit 138 in the form of numerical information. Here, the output unit 140 may be provided in the form of at least one output device among a display device in which the composite index calculated by the determination unit 138 is displayed or a printing device that is printed in the form of a document.

That is, in the apparatus for diagnosing dementia using EEG analysis according to the present invention, a plurality of sensing electrodes constituting the sensing unit are in contact with the left and right regions of the user's forehead in a non-adhesive form to enable sensing of EEG signals of the measurement target, and are inserted into the head Compared to the EEG measurement method using an invasive or adhesive adhesive sensor, the measurement object's rejection of diagnosis is less, so there is an effect of preventing the measurement object from avoiding the diagnosis and voluntary participation in the diagnosis.

In addition, the apparatus for diagnosing dementia using EEG analysis according to the present invention comprehensively checks the size of the theta band frequency component of the user, the shape of the alpha band frequency component, the balance between the left brain and the right brain, and whether the user is in hyper-arousal state. There is an effect of being able to confirm not only whether dementia is present, but also mild cognitive impairment that can be made up of dementia by performing the determination of whether the person has mild cognitive impairment or dementia.

The above-described embodiments of the present invention are disclosed for the purpose of illustration, and those skilled in the art with common knowledge about the present invention will be able to make various modifications, changes, and additions within the spirit and scope of the present invention, such modifications, changes and additions should be regarded as belonging to the following claims.

100: Dementia diagnosis device using EEG analysis
110: sensing unit
112: first sensing part
114: second sensing part
120: sampling unit
130: judgment unit
132: conversion part
134: classification part
136: output part
138: judgment part
140: output unit
H: head of user (= measurement subject)
E: sensing electrode

Claims (10)

a sensing unit provided with a plurality of sensing electrodes in contact with the front left and right sides of the head corresponding to the prefrontal region of the user and sensing the user's EEG signal;
a sampling unit for generating segmented EEG information in the form of time series information obtained by dividing the EEG signal sensed by the sensing unit into units of a preset sampling interval;
a determination unit that calculates a synchronization value of the segmented EEG information generated from the sampling unit using Global Field Synchronization (GFS), and determines whether the user has dementia through a predetermined synchronization value calculation result for each frequency band; and
and an output unit for outputting the determination result of the determination unit in the form of numerical information;
The sensing unit,
a first sensing portion provided with at least two sensing electrodes in contact with the left region with respect to the center of the head corresponding to the prefrontal region of the user; and
A second sensing part provided with at least two sensing electrodes in contact with the right region symmetrical to the contact position of the first sensing part with respect to the center of the head corresponding to the prefrontal region of the user;
The sampling unit generates an individual divided EEG signal from the EEG signal sensed by each sensing electrode,
The judging unit,
a transformation unit for generating transformed EEG information by converting the divided EEG information into a frequency domain through a Fourier transform;
a classification unit for classifying the transformed EEG information into a plurality of predetermined frequency bands;
The complex value of the transformed EEG information is calculated for the frequency band classified by the classification part, and at least two or more eigenvalues are obtained through Principle Component Analysis (PCA) for the coordinates of the calculated complex value on the complex plane. a calculation unit for obtaining and calculating a synchronization value from the obtained at least two or more eigenvalues; and
a determination part for determining whether dementia is present through the synchronization value of the converted EEG information for at least one frequency band among a plurality of pre-designated frequency bands calculated by the calculation part;
The calculation part includes a first eigenvalue (P1, First Principle Component) having the largest value among eigenvalues of transformed EEG information obtained through principal component analysis and a second eigenvalue having a property orthogonal to the first eigenvalue (Second Principle Component) ), and substituting the calculated first and second eigenvalues into Equation 1 below to calculate a synchronization value,
(Formula 1)

S(f): Synchronization value
P(f) ₁ : first eigenvalue
P(f) ₂ : second eigenvalue
The classification part divides the converted EEG information into a delta band of 1 Hz to 3.5 Hz, a theta band of 3.5 Hz to 7 Hz, an alpha band of 8 Hz to 12 Hz, a beta band of 13 Hz to 30 Hz. Or classify into at least one frequency band of 31 Hz to 50 Hz gamma (Ganna) band,
The determination part determines whether the synchronization value of the converted EEG information of the theta band calculated from the EEG signals sensed by the first and second sensing parts by the calculation part exceeds a preset reference value, and a preset reference value Generates the first result information according to the size of the waveform of the converted EEG information of the theta band confirmed to have exceeded
The determination unit determines whether the synchronization value of the converted EEG information of the alpha band calculated from the EEG signals sensed by the first and second sensing units by the calculation unit exceeds a preset reference value, and a preset standard Dementia diagnosis apparatus using EEG analysis, characterized in that the second result information is generated according to the degree of matching between the waveform formed by the converted EEG information of the alpha band confirmed to exceed the value and the pre-stored reference waveform.
delete delete delete delete delete delete According to claim 1,
The determination part constitutes the first sensing part among the synchronization values of the converted EEG information of the delta, theta, alpha, beta and gamma bands calculated by the calculation part from the EEG signals sensed by the first and second sensing parts. Whether the first synchronization value for the EEG signal sensed by the plurality of sensing electrodes and the second synchronization value for the EEG signal sensed by the plurality of sensing electrodes constituting the second sensing part exceed a preset reference value, respectively; , the third result according to the size of the difference calculation result value between the first synchronization value and the second synchronization value for each of the converted EEG information in the delta, theta, alpha, beta, and gamma bands confirmed to have exceeded the preset reference value Dementia diagnosis device using EEG analysis, characterized in that it generates information.
9. The method of claim 8,
The determination unit determines whether the synchronization value of the converted EEG information of the delta, theta, beta and gamma bands calculated from the EEG signals sensed by the first and second sensing units by the calculation unit exceeds a preset reference value. and, according to the ratio between the converted EEG information in the delta and theta bands confirmed to have exceeded the preset reference value and the converted EEG information in the beta and gamma bands confirmed to exceed the preset reference value 4 Dementia diagnosis device using EEG analysis, characterized in that it generates result information.
10. The method of claim 9,
The determination part applies different weights to each of the first, second, third and fourth result information, and adds the weighted first, second, third and fourth result information to the user's dementia Dementia diagnosis device using EEG analysis, characterized in that it calculates a composite index according to whether or not there is.

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