KR20110098563A - Thematic apperception test system based on bci - Google Patents

Abstract

The present invention relates to a BC eye-based psychological test and a mental disease diagnosis system using EEG, and more particularly, to present a subject to an illustration on a monitor, and at the same time, collect EEG and voice data of a subject to be used during psychological diagnosis. Voice data is quantified using Balken index method, classified into subject group according to psychological state, and statistically analyzed by frequency band and EEG-induced potential analysis of EEG data simultaneously collected during psychological examination for subject group classified by syndrome Characteristic classification is performed by classifying the subjects by feature analysis to construct a feature vector and reference value database.In the case of a practical psychological test, the EEG data of the subject and the pre-classified feature vectors and criteria are used during the psychological test using the quantitative classification results. Compare and analyze with numerical database The present invention relates to BC eye based psychological test and mental disease diagnosis system using EEG to enable the basic psychological diagnosis.
BC eye-based psychological examination and mental disease diagnosis system using the present inventors,
An illustration database 110 for storing and managing TAT illustration information;
An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;
EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;
A voice data acquisition unit 140 for acquiring voice data of the subject;
A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;
The EEG data extracting unit 160 acquires EEG data extracted by the EEG data extracting unit and analyzes EEG data for each mental disorder (OCD, converting hysteria, anxiety state) classified using the Balken index analysis method. ;
And a feature vector and a reference value database 170 for storing the feature vector and the reference numerical value for each mental disorder analyzed by the EEG data analysis unit.
The present invention is presented to the subject on the monitor through the present invention. At this time, the brain wave and the voice data of the subject to be used at the time of psychological diagnosis are collected at the same time, and the voice data is quantified by using the Balken index method. , Group of subjects classified by syndrome, statistically analyze the EEG data collected at the time of psychological test by frequency band and EEG-induced potential analysis to classify the characteristics of each subject group to construct a feature vector and reference value database. In the psychological test, it is possible to provide basic psychological diagnosis by comparing and analyzing the brain wave data of the subject and the pre-classified feature vector and reference value database.

Description

BC eye based psychological test and mental disease diagnosis system using EEG {Thematic Apperception Test System Based on BCI.}

The present invention relates to a BC eye-based psychological test and a mental disease diagnosis system using EEG, and more particularly, to present a subject to an illustration on a monitor, and at the same time, collect EEG and voice data of a subject to be used during psychological diagnosis. Voice data is quantified using Balken index method, classified into subject group according to psychological state, and statistically analyzed by frequency band and EEG-induced potential analysis of EEG data simultaneously collected during psychological examination for subject group classified by syndrome Characteristic classification is performed by classifying the subjects by feature analysis to construct a feature vector and reference value database.In the case of a practical psychological test, the EEG data of the subject and the pre-classified feature vectors and criteria are used during the psychological test using the quantitative classification results. Compare and analyze with numerical database The present invention relates to BC eye based psychological test and mental disease diagnosis system using EEG to enable the basic psychological diagnosis.

Recently, due to the rapid development of society, many people are suffering from social problems such as alienation, excessive work stress, and family relationship discord due to inadequate adaptation between groups and individuals.

This problem is gradually increasing with the development of culture and is dangerous enough to spread to social problems.

Therefore, there is an increasing need for research on a mental disorder-related examination and diagnosis method for solving the above problems.

Research on the diagnosis and diagnosis related to mental disorders has been actively conducted at home and abroad, but the research on psychological examination, which is the most basic research for solving the problems, has the following fundamental problems.

Representative problems of the conventional psychological test is the difference in interpretation of the test results according to the degree of professional training of the psychological counselor.

This problem arises from the absence of an objective psychoanalytic method, which results in different subjective analyzes by the psychological examiner even for the same subject response.

Another problem with psychological testing arises from the method of psychological testing.

The conventional psychological test is made through various communication, and this problem has made it difficult for the psychological test and analysis of the severely disabled, foreigners, and infants.

In addition, due to the lack of psychological counseling specialists, there was a problem that it takes a lot of time and money to perform the test.

Therefore, it is urgent to study how to effectively solve the problems of psychological test before research on social problem solving.

Recently, it is estimated that the population treated for mental disorders in Korea is about 1253,000, or 3% of the population, and about 140,000, or 12.1%, are serious enough to require hospitalization.

In addition, it is estimated that more people suffer from mental disorders considering the number of mentally disabled people at home who do not receive medical benefits and mentally disabled people in unauthorized facilities.

Mental disorders require continuous treatment and rehabilitation for social rehabilitation due to the characteristics of the disorder itself, which is easy to lose social function, and due to lack of normal social life, such as alienation between group and individual, discord of family relationship, etc. It is possible to develop into a problem, so the damage is serious.

As these problems are gradually increasing with the development of culture, and they are dangerous enough to spread to social problems, the technology on how to solve the problems is actively progressing at home and abroad and diagnose mental disorders. Psychological testing, the most basic research that can be done, is also of increasing importance.

Projective techniques in psychological testing are the most representative and widely used techniques such as the Rorschach test and thematic apperception test (TAT).

These techniques can be conscious of one's own needs, thoughts, and feelings that are unacceptable at the level of consciousness. Using the principle of Projection, an unconscious action to give up, suggests a somewhat vague visual or verbal stimulus and exposes the subject's desire unknowingly in the process of causing the subject to reconstruct it through free association or imagination. It is a way of analyzing and interpreting interests, motivations, beliefs, values, and personalities.

However, he overcame the disadvantage of Lorshaha's illustration that it was difficult to accurately assess the subject's response without being overly abstract and rich in clinical experience, and Murray (1935) developed his own concept based on the concept of need-press. Based on the personality theory, the subject pain test is a test that allows the examinee to project his own desires and pressures by presenting more specific and everyday picture stimuli than the Rorschach illustration.

On the other hand, BCI is a field of human computer interface (HCI) that studies human-computer interaction, and generates control signals through algorithms that extract brainwave singularities or feature parameters after collecting brain waves and performing signal processing. It is a technology used for actual device control and character input.

Since the EEG has a characteristic of weak signal strength and easy to include noise, the measured EEG is used for practical device control and character input after preprocessing using various algorithms, feature extraction, pattern recognition.

In addition, the TAT is a joint study by Harvard University Murray, H. A, Morgan, and C. B. It was completed in 1935 and analyzed the analysis of the Need-Press relationship of individuals. This test is widely and usefully used for diagnosing its toughness, and as a method of stimulating, recording, and analyzing fantasy, a stimulant that stimulates this fantasy is a TAT illustration.

By looking at the TAT illustration and directly reminiscent of the daydreaming and furthering the daydreaming, we examine the subject's personality projected on the specific life contents developed in this daydreaming. To project fear.

In particular, it shows the external emotional response surface and the self-psychic psychological surface projected through human relations well, and examines the personality contents of individuals in reality adaptation in environment and human relationship such as aggression, depression, and interpersonal relationship of subjects. It is recognized as a useful test.

Murray. The TAT illustration standardized and developed by H. A. was selected from paintings, artworks, and paintings originally published in magazines, and was fixed by current research methods.

The TAT consists of 31 illustrations depicting many realistic and practical situations.

Each illustration has a unique number and alphabet, the number tells the order of execution, and four alphabets are selected for the G (girl), F (female), B (boy), and M (male).

Among them, 20 cards selected in consideration of gender and age are tested twice using 10 cards at a time.

In other words, TAT presents a specific picture to the patient as a method of clinical psychology test, and induces a fantasy story with the context of past, present and future in mind, and analyzes the response.

However, the psychological test using TAT is also a subjective psychological test method, which, due to the nature of the analysis method, has ambiguity in content analysis and interpretation depending on the degree of professional training of the examiner.

This problem may cause different analysis results according to the examiner even if the data reflects the psychological state of the patient collected in the same environment and the same situation when psychological examination and diagnosis using the TAT.

Eventually, there was a need for a technique for solving the problems of the subjective psychological test described above.

Therefore, the present invention has been proposed in view of the above-described problems of the prior art, and an object of the present invention is to present an illustration to a subject on a monitor, where the brain wave and voice data of the subject to be utilized at the time of psychological diagnosis are collected and voiced simultaneously. Data is quantified using Balken index method, classified into subject group according to psychological state, and statistical characteristic analysis such as frequency band analysis and EEG-induced potential analysis of EEG data simultaneously collected during psychological test for subject group classified by syndrome This study is to construct feature vector and reference value database by classifying feature by subject group.

Another object of the present invention is to enable the basic psychological diagnosis by comparing and analyzing the brain wave data of the subject and the pre-classified feature vector and reference value database during the actual psychological test.

Another object of the present invention is to remove the electrical activity portion of the brain irrelevant to the stimulus by averaging the brain waves measured on the basis of the time when a particular stimulus is presented and EEG and EEG extracting brain activity involved in the stimulation process This study aims to improve the accuracy of feature vectors and reference value databases by providing an EEG database that stores feature vectors and reference values of normal and abnormal persons by mental disorder analyzed by the trigger potential analysis unit.

In order to achieve the problem to be solved by the present invention,

BC eye-based psychological examination and mental disease diagnosis system using the present inventors,

An illustration database 110 for storing and managing TAT illustration information;

An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;

EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;

A voice data acquisition unit 140 for acquiring voice data of the subject;

A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;

EEG data analysis unit 160 to obtain the EEG data extracted by the EEG data extraction unit, and analyzes EEG data for each mental disorder (OCD, conversion hysteria, anxiety state) classified using the Balken index analysis method and ;

And a feature vector and a reference value database 170 for storing the feature vector and the reference numerical value for each mental disorder analyzed by the EEG data analysis unit, thereby solving the problems of the present invention.

BC eye-based psychological test and mental disease diagnosis system using the EEG according to the present invention having the above configuration and action present the illustration on the monitor to the subject, and at the same time collect the brain wave and voice data of the subject to be used during psychological diagnosis Voice data is quantified using Balken index method, classified into subject group according to psychological state, and statistically analyzed by frequency band and EEG-induced potential analysis of EEG data simultaneously collected during psychological examination for subject group classified by syndrome Characteristic classification is performed by classifying the subjects by feature analysis to construct a feature vector and reference value database.In the case of a practical psychological test, the EEG data of the subject and the pre-classified feature vectors and criteria are used during the psychological test using the quantitative classification results. Compared with numerical database It provides the effect that enables basic psychological diagnosis.

1 is a block diagram showing a BC eye-based psychological test and mental disease diagnosis system using the EEG according to an embodiment of the present invention.
Figure 1a is a block diagram showing the components required for the physical examination of the BC-based psychological test and mental disease diagnosis system using the EEG according to an embodiment of the present invention.
2 is a final result showing the characteristic vector and reference value discrimination between normal and abnormal by mental disorders according to statistical characteristics analysis of BC eye based psychological test and mental disease diagnosis system using EEG according to an embodiment of the present invention. .
3A to 3E are exemplary diagrams showing coefficient distribution graphs and histograms for each coefficient of the BC-based psychological test and mental disease diagnosis system using EEG according to an embodiment of the present invention.
Figure 4 is an exemplary view showing the EEG-induced potential of the BC-based psychological test and mental illness diagnostic system using the EEG according to an embodiment of the present invention.
5A to 5B are exemplary views illustrating an experimenter screen and a test subject screen of a BC eye-based psychological test and a mental disease diagnosis system using brain waves according to an embodiment of the present invention.
FIG. 6 is an exemplary view illustrating a feature vector analysis of a subject of a BC eye-based psychological test and a mental disease diagnosis system using brain waves according to an embodiment of the present invention.
7 is an exemplary view showing the discrimination rate according to the reference value for each feature vector of the BC eye-based psychological test and mental disease diagnostic system using the EEG according to an embodiment of the present invention.
8 is an exemplary view showing EEG waveforms of normal persons of the BC-based psychological test and mental disease diagnosis system using the EEG according to an embodiment of the present invention.
9A is an exemplary diagram illustrating EEG waveforms in OCD when a subject of a BC eye-based psychological test and a mental disease diagnosis system using EEG according to an embodiment of the present invention are shown.
FIG. 9B is an exemplary diagram illustrating a conversion hysteresis EEG waveform of a subject of a BC eye-based psychological test and a mental disease diagnosis system using EEG according to an embodiment of the present invention.
Figure 9c is an exemplary diagram showing the EEG waveform in a subject anxiety state of BC eye-based psychological test and mental disease diagnosis system using the EEG according to an embodiment of the present invention.

BC eye based psychological test and mental disease diagnosis system using the brain waves of the present invention for achieving the above object,

An illustration database 110 for storing and managing TAT illustration information;

An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;

EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;

A voice data acquisition unit 140 for acquiring voice data of the subject;

A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;

EEG data analysis unit 160 to obtain the EEG data extracted by the EEG data extraction unit, and analyzes EEG data for each mental disorder (OCD, conversion hysteria, anxiety state) classified using the Balken index analysis method and ;

And a feature vector and a reference value database 170 for storing the feature vector and the reference numerical value for each mental disorder analyzed by the EEG data analysis unit.

On the other hand, BC eye-based psychological test and mental disease diagnosis system using the EEG according to another embodiment of the present invention,

An illustration database 110 for storing and managing TAT illustration information;

An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;

EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;

A voice data acquisition unit 140 for acquiring voice data of the subject;

A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;

EEG data analysis unit 160 to obtain the EEG data extracted by the EEG data extraction unit, and analyzes EEG data for each mental disorder (OCD, conversion hysteria, anxiety state) classified using the Balken index analysis method and ;

A feature vector and reference value database 170 for storing a feature vector and a reference numerical value for each mental disorder analyzed by the EEG data analysis unit;

An EEG analysis unit 180 for averaging brain waves measured based on a time point at which a specific stimulus is presented to remove an electrical activity portion of the brain which is not related to the stimulus, and extracting brain activity involved in stimulus processing;

Characterized in that it comprises a; EEG database for storing the feature vectors and reference values of normal and abnormal persons by mental disorders analyzed by the EEG analysis unit.

At this time, BC eye based psychological test and mental disease diagnosis system using the EEG according to the additional aspect,

After acquiring the EEG data extracted by the EEG data extracting unit, the subject is discriminated into one of normal, OCD, switchable hysteria, and anxiety by referring to the feature vector and reference numerical information stored in the feature vector and reference numerical database. EEG discrimination unit; characterized in that the configuration further comprises.

At this time, the EEG analysis unit,

Characteristic classification by subject group is performed by performing statistical feature analysis.

At this time, the EEG analysis unit,

It is characterized by categorizing three mental disorder states of anxiety state, transitional hysteria and OCD by using characteristics of point 200 and point P300.

At this time, the EEG analysis unit,

In order to extract feature vectors and reference values that can discriminate only one mental disorder, one of the three mental disorders, namely anxiety, transitional hysteria, and OCD, is classified as abnormal. It is characterized by obtaining a feature vector and a reference value by dividing into normal.

At this time, the EEG analysis unit,

Performing classification by mental disorder using N200 and P300 reflecting attention, stimulus, memory search, and resolution of uncertainty among the peaks of E100-induced potentials N100, N200, P300, N400, P600, and P800 It features.

At this time, the feature vector and reference value information for each mental disorder stored in the feature vector and reference value database 170,

After presenting the illustration screen to the subjects in sequence, collecting EEG data according to them, performing FFT for each channel, analyzing them by band, and then averaging them by band / illustration of the stored results to remove changes according to the characteristics of the subjects. It is characterized in that the information analyzed for each frequency band of statistical feature values classified by the following bands.

At this time, the EEG data analysis unit 160,

It is characterized by selecting the numerical value with the highest distinction rate between normal and abnormal persons by mental disorder as the reference value by feature vector.

At this time, in the EEG data analysis unit 160,

The standard value for distinguishing between normal and non-normal by mental disorders is to determine between the highest and lowest values for each feature vector for subjects classified into normal, obsessive-compulsive neurosis, transitional hysteria, and anxiety state using the Balken index. do.

At this time, the EEG data analysis unit 160,

In case of OCD from the characteristic vector and reference value of mental disorders, Delta / Alpha is set to 4.6, and this value is divided into normal when 4.6 or more and abnormal when less than 4.6. Theta for conversion hysteria When / Beta is less than 2.49, it is classified as normal when it exceeds 2.49, and when it is over 2.49, it is classified as normal when Delta / Alpha is higher than 3.35 and abnormal when it is less than 3.35, and stored in the feature vector and reference value database. It is characterized by.

At this time, the EEG analysis unit,

The characteristic value of N200 point and P300 point is 26ms later with strength of about -350㎶ than N200 point, and in case of P300, it is classified as normal person when it appears 8ms later than N300 point.

At this time, the EEG analysis unit,

In the case of N200, the intensity occurs at -166.3㎶ before 70.1ms before the reference N200 generated from the point of stimulus presentation, and at -183.7㎶ before 97.1ms compared to N200 in normal group. In the case of P300, it occurs with an intensity of 186.7 ㎶ 24.2 ms before the point of reference P300 generated from the point of time when the stimulus is presented, and it appears as an intensity of 41.3 게 15.8 ms later than the P300 of the normal group when compared with the normal group. In some cases, the abnormal group is characterized as being classified as OCD.

At this time, the EEG analysis unit,

In the case of N200, the intensity is -81.71㎶ before 0.8ms before the reference N200 occurs from the point at which the stimulus is presented.In comparison with the normal, the intensity is -268.29 N before 26.8ms compared to N200 of the normal group. In the case of P300, it occurs with an intensity of 93.65ms before 26.6ms before the reference P300 generated from the point of time when the stimulus is presented, and with an intensity of 134.35㎶ before 34.6ms compared to P300 of the normal group when compared with the normal person. If present, it is characterized in that it is classified as a conversion hysteria among the abnormal group.

At this time, the EEG analysis unit,

In the case of N200, the intensity is -78㎶ after 61ms after the reference N200 generated from the time when the stimulus is presented, and it occurs with the intensity of -272㎶ after 35ms compared to N200 of the normal group when compared with the normal person. In the case of P300, it occurs with an intensity of 25.2㎶ 15ms before the reference point P300, which occurs from the point of time when the stimulus is presented, and is abnormal when the intensity is 202.8 에 before 23ms compared to the P300 of the normal group. Characterized by anxiety among the population.

Hereinafter, it will be described in detail through an embodiment of the BC-based psychological test and mental disease diagnosis system using the EEG.

The Balken index described in the present invention is a relatively effective means for characterizing the expression of the details of the TAT illustration by making a detailed analysis of the formal specificity of TAT and applying it more clinically. to be.

Balken. The ER looked at the expressions of TAT illustrations in terms of words and expressed them in fancy language and presented 85 analysis items by detailed linguistic analysis and shows the characteristics of Balken index by syndrome as clinical diagnosis of each item is possible. .

On the other hand, the conventional TAT is based on the subjective judgment of the examiner, so there is a problem in the objectivity and reliability of the test, and because it requires a high level of skill and a lot of experience to analyze the subject, it is difficult for non-experts to solve this problem. In the present invention, the Balken index method is used to quantify the TAT analysis.

To this end, the analysis items will be described in detail as follows.

That's Balken. E.R received 85 criteria for formal analysis, but the last 10 suggested the most meaningful criteria.

A. Average fish

Analyze the average number of words used in the story, and analyze the number of words in English and the number of characters in Japanese.

Murray, H. A., has an average word count of 300 in English. According to this, an anxiety subject reported 107, and the mean number of OCD patients was 213, and Korean applied the same criteria as English.

B. Number of predicates, participles, rhetorical adjectives

The more descriptions of the various adjectives, such as beautiful, rising, first, and good, the more static the description.

But rhetoric, or adjective, is excluded here (various, some, etc.).

About 8 out of 100 words are found in converting hysteria, and about 4 out of 100 words in anxiety patients.

C. Relative amounts of active, passive, and automatic verbs

The verbs are excluded, and the large number of verbs can be considered to be free from dynamic conditions such as anxiety and tension.

D. Number of positive and negative statements

If you make a frank, positive statement without doubts, doubts, or self-criticisms, it is a statement of affirmation. This is called the description of negation. That is, by the pros and cons of the description.

① Positive statement

Ⓐ Possibility-this will happen. I think so. Good for you.

Ⓑ Probability-I think so. I don't know if it is. Seems to be

Ⓒ Certainty-It must be. It is certainly. It is crucial. It will be so.

② Impossible

Ⓐ Impossible-can't think. Can't imagine Incredible

Ⓑ Non-Probability-It's unlikely. I don't think It can't be.

Ⓒ Uncertainty-I don't know. At stake.

In addition to ⓓ ⓐ, ⓑ, and ⓒ, they are making positive outs with conditions and restrictions.

E. Number of expressions representing equivalence or agitation

The need for choice between positive and negative indicates the conflict between psychological and emotional sentiments (this or that, whether or not).

F. Number of Compulsive Expressions

It is an obsessive tendency, such as 'must do' or 'can't know'.

It also includes the expression that obsessive thoughts are projected to others, so that ~ must be.

G. Number of times the subject asked the examiner

H. Number of special expressions

Ⓐ vague: what, like, degree of

Ⓑ Reason: Being is because

Ⓒ Reasoning: Because of

Ⓓ Method: as

Ⓔ Special Indirect: E-

I. Number of expressions centered on first person or subject

Ⓐ first person pronouns

Ⓑ Expressions centered on the subject: I don't think so. In that case, it is included even if it is used without the expression

This can know the index of self-centeredness or the object of projection.

J. Identification of characters and subjects in fantasy

'If this was me', 'It's just like my own story.' This is a severe example of projecting the subject directly and consciously during his daydreaming.

In addition to the above linguistic analysis, the following indices were found to be valid.

Table 1 shows the coefficient analysis method. Coefficient Analysis Method V-A coefficient = total number of verbs / total number of adjectives C-U coefficient = expression of certainty / expression of uncertainty Q-C coefficients = expression of conditional positives / expression of certainty P-N coefficient = expression of likelihood, probability (positive) / impossibility, expression of non-probability (negative)

<Table 1> Coefficient Analysis Method

High V-A coefficients are constantly dynamic, leading to dramatic libido tension and anxiety in subjects.

The P-N coefficient may be regarded as having emotion rating on the surface, but may also be referred to as convertible hysteria.

The C-U coefficient clearly shows the clarity and defensive attitude of emotions.

If the Q-C coefficient is severe, there is no confidence or compulsive tendency such as magnetic criticism and timidity.

Balken, E.R., extracted the characteristics of psychosis by the analysis items, and reported the clinical significance of this method in light of each syndrome as follows.

A. Convertible Hysteria

Convertible hysteria has the following characteristics.

First, the average vocabulary number (AV) is relatively high, the V-A coefficient is low, and second, there is no power in the description but is exaggerated. Third, the C-U coefficient, the Q-C coefficient is low, and the P-N coefficient is high.

Fourth, the number of expressions and special expressions representing equivalence or agitation is extremely low. Fifth, the first person is not used well and the main character is not identified.

The psychological structure of convertible hysteria is evident.

In other words, it suppresses sexual demands, transfers attacks to physical insufficiency, or finds impulse escapes and maintains the surface level.

By having this impulse, they do not use the first person because of their guilt or anxiety.

Therefore, many questions are asked about the examiner, and the interpersonal relationship in the scene of the examination, that is, the relationship between the examinee and the examiner, is not well established.

B. Anxiety

The state of anxiety has a lower average vocabulary (AV), a higher V-A coefficient, a dramatic and compulsive story compared to convertible hysteria.

In addition, as the efforts to resolve conflicts are large, there are many uncertain expressions and many vague expressions.

Therefore, it is often identified with the person in the picture, which means that the patient's anxiety cannot be converted to physical insufficiency.

In addition, the attitude toward the examiner is only a conflict that cannot be resolved, and because some patients do not know how to solve the anxiety, the anxiety is expressed on the face.

When anxiety is expressed on the face like this, a lot of words related to anxiety come out.

C. OCD

OCD has many similarities to anxiety neuropathy and is characterized by the most compulsive expression.

Because the Q-C coefficient is high, there are many special expressions, and the P-N coefficient and C-U coefficient are low, which tends to excuse why the patient's attitude is not clear, which results in a very low V-A coefficient.

Obsessive compulsive anxiety can resolve the conflict, but anxiety neurosis cannot resolve the conflict.

On the other hand, however, the analysis items of linguistic traits that have been compared with clinical signs are narrow in scope from the point of view of formal analysis.

Therefore, most TAT researchers today use formal analysis in addition to content analysis.

Table 2 below shows Balken index analysis for each syndrome. syndrome Balken Index Analysis Switchable hysteria 1.High average vocabulary (AV), low VA coefficient
2.CU coefficient, QC coefficient low
3. High PN coefficient Anxiety 1. High VA coefficient compared to switchable hysteria
2. Low average vocabulary (AV) OCD 1. High QC coefficient, low PN coefficient, low CU coefficient
2. VA coefficient is very low

<Table 2> Balken Index Analysis by Syndrome

1 is a block diagram showing a BC eye-based psychological test and mental disease diagnosis system using the EEG according to an embodiment of the present invention.

As shown in Figure 1, the BC eye-based psychological test and psychological disease diagnosis system using the present inventors,

An illustration database 110 for storing and managing TAT illustration information;

An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;

EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;

A voice data acquisition unit 140 for acquiring voice data of the subject;

A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;

EEG data analysis unit 160 to obtain the EEG data extracted by the EEG data extraction unit, and analyzes EEG data for each mental disorder (OCD, conversion hysteria, anxiety state) classified using the Balken index analysis method and ;

And a feature vector and a reference value database 170 for storing the feature vector and reference numerical value for each mental disorder analyzed by the EEG data analysis unit.

FIG. 1 is a block diagram of components required for building a database, and FIG. 1A is a block diagram of components required for performing a substantial inspection.

In addition, the display panel is divided into a panel for displaying information provided by an illustration providing unit and a display panel for showing an experimenter's screen. In the case of an experimenter's screen, the subject's normal psychological examination is performed not only when constructing the database but also during the actual psychological examination. It is used to help.

Although many studies have been conducted to objectify the conventional subjective psychological examination method, the problem progressed by the dialogue between the subject and the examiner, which is one of the problems causing the subjective psychological diagnosis result, still remains.

In order to solve this problem, the present invention discloses a BCI-based TAT system capable of psychological examination with only a simple EEG test.

That is, the system of the present invention automatically presents the TAT illustration to the subject on the monitor. Specifically, the TAT illustration is extracted from the illustration database that stores and manages the TAT illustration information by the illustration providing unit to display the screen of the display panel 20. To be provided.

At this time, the brain wave of the subject to be utilized in the psychological diagnosis is measured by the EEG measuring unit 10 to extract the brain wave data of the subject by the EEG data extracting unit, the voice data of the subject is obtained by the voice data acquisition unit.

The obtained voice data is quantified by using the Balken index method by the Balken index analysis unit, and classified into subject groups according to the psychological state.

The EEG data extracted by the EEG data extracting unit is obtained by the EEG data analysis unit 160 and analyzes EEG data for each mental disorder (OCD, converting hysteria, anxiety state) classified by using the Balken index analysis method. Done.

At this time, the feature vector and reference numerical value for each mental disorder analyzed by the EEG data analysis unit are stored in the feature vector and reference value database 170.

By using the classification result of quantifying the basic data, the basic psychological diagnosis is possible by comparing the EEG data of the subject and the pre-categorized statistical features in the future psychological test.

The EEG is a general 4-channel computerized measuring instrument to measure the EEG in a mono-polar method, and the measured signal is obtained by the EEG data extraction unit after 12-bit AD conversion process.

As a result of performing statistical characteristics analysis of subject EEG through the EEG data analysis unit 160, normal, OCD, conversion hysteresis, and anxiety subject group classification data criteria are shown in FIG. 2.

In detail, for example, using the present system, a total of 20 illustrations used for the psychological test are sequentially shown to the subject, and real-time frequency analysis is performed on the measured 8-channel data.

In order to suggest statistical reference values by removing changes according to the characteristics of subjects, the results of FFT processes were stored for each channel. Presented.

As shown in FIG. 6 to FIG. 7, the bands of 44 subjects performed were classified by bands such as Alpha, Delta, Theta, Beta (s-Beta, m-Beta, h-Beta), and Gamma. As a result of the analysis, the feature vector and reference value for each mental disorder shown in FIG. 2 were derived.

In addition, the following components can be additionally configured to increase the accuracy of the feature vector and reference value database.

That is, EEG analysis unit 180 for averaging the brain waves measured on the basis of the time when a particular stimulus is presented to remove the electrical activity of the brain irrelevant to the stimulus and extract the brain activity involved in the stimulation process;

The brain wave development potential database 190, which stores the feature vectors and reference values of normal and abnormal persons for each mental disorder analyzed by the brain wave development potential analysis unit, is further configured.

When the feature vectors and reference numerical information of normal and abnormal persons for each mental disorder analyzed by the EEG data analysis unit are stored in the feature vector and reference value database as shown in FIG. The feature vector and reference numerical information stored in the reference vector database are used to identify the subject as one of normal, obsessive-compulsive neurosis, transitional hysteria, and anxiety by referring to the feature vector and reference numerical information.

On the other hand, it is preferable to perform the EEG-induced potential analysis repeatedly to increase the accuracy of the determination.

In addition, the EEG analysis unit performs a function of averaging brain waves measured based on a time point at which a specific stimulus is presented to remove an electrical activity portion of the brain unrelated to the stimulus, and extracting brain activity involved in stimulus processing.

That is, the EEG induced potential is a waveform obtained only after electrical stimulation containing specific information, and the brain's electrical activity related to the stimulus processing, as shown in FIG. By removing the electrical activity part of the brain irrelevant to the stimulus and extracting only the brain activity commonly involved in the stimulation process, usually the induced potential is composed of several peaks such as N100, N200, P300, N400, P600, P800 It is done.

Each peak contains various meanings related to information processing. In particular, the peak corresponding to P300 has been studied the most in the world regarding brain information processing technology since Sutton's report in the 1960s.

P300 means a positive peak appearing at about 300 ms after stimulus presentation.

P300 is said to reflect attention to stimuli, cognition of stimuli, memory search, and resolution of uncertainty during information processing.

That is, the higher the attention, memory, and cognitive ability, the larger the amplitude of P300, and the faster the P300 occurs.

Accordingly, the EEG analysis unit of the present invention classifies three mental disorder states such as anxiety state, transitional hysteria, and OCD by using characteristics of N200 and P300 points, and establishes EEG-specific vector database for each mental disorder. do.

The specific stimulus described in the present invention is a specific stimulus which shows one illustration and measures the measured EEG data.

FIG. 5A is a screen of an experimenter for constructing a database, and is used for both database construction and a practical psychological test.

FIG. 5B illustrates a screen of a test subject. Specifically, the tester screen includes a tester screen for assisting the subject's normal psychological test by continuously observing the test subject's state, and a test screen for showing the TAT illustration to the test subject.

This is an experimenter screen during BCI-based TAT psychological test, and can display information such as personal information about the subject, detailed equipment settings used in the experiment, and EEG waveform and examination attitude of the subject when performing the test. During the test, the normal psychological test is assisted by continually observing the subject's attitude, facial expression, and body movement.

The TAT psychology test is performed using 20 TAT illustrations, and voice recordings of the subjects' verbal expressions about what they see and feel are recorded along with EEG waveforms.

On the other hand, preferably, the voice data and EEG data collected from the subject is automatically stored whenever each illustration is changed during the psychological test, in this case EEG data is stored separately for each channel.

EEG was measured using a computerized EEG, and the EEG of the subject was stored by 256 Hz sampling and 12-bit AD conversion.

EEG was measured in 8 parts of the scalp by Mono-Polar method, and the measuring electrode was attached at the positions of F3, Fz, F4, C3, C4, P3, Pz, and P4 by 10-20 international electrode placement method. The left ear and the ground electrode were attached to the right ear.

A total of 44 subjects were selected to define the baseline data, and 20 TAT illustrations suitable for the subject were presented automatically considering the gender and age of each subject.

Each subject will be examined twice on different days using the 20 selected illustrations.

In the first two minutes, the subject perceives, understands, interprets, speculates, and imagines the TAT illustration.

Two minutes later, the subject will talk about the TAT illustration in the order of past, present, and future, and record it and save it as data.

The experimenter induces a normal psychological test by continuously observing the subject's examination attitude, facial expression, and body movement during the psychological test.

According to the analysis items presented in Chapter 2, voice data collected from a total of 44 subjects who participated in the experiment were analyzed by analyzing the total number of words, adjectives, adverbs, verbs, etc. The coefficient analysis (VA, QC, CU, PN coefficients) shown in Table 1 was performed.

3A shows the average V-A coefficient, FIG. 3B shows the average P-N coefficient, FIG. 3C shows the average C-U coefficient, FIG. 3D shows the average Q-C coefficient, and FIG. 3E shows a histogram for each coefficient.

As described above, the numerical average of 20 cards per 44 individuals was calculated using the coefficient analysis method of Table 1, and the results are shown as a coefficient distribution graph for each subject.

Figure 3e shows the histogram of the average frequency for each coefficient by analyzing the psychological test results for each of the 44 TAT illustrations quantified using the Balken index method.

Histogram analysis was performed using the Balken index analysis for each mental disorder shown in Table 2, and each subject was analyzed by OCD, conversion hysteresis, and anxiety state.

<Table 3> Numerical value of each coefficient by mental disorder C-U Q-C P-N V-A AV OCD ↓ 0.67 ↑ 8.2 ↓ 2.4 ↓ 2.17 Anxiety ↓ 1.83 ↓ 5.01 ↑ 4.1 ↑ 3.11
↓ 6.3 ↓ Switchability
Hysteria ↓ 3.5 ↓ 1.99 ↑ 6.7 ↓ 1.35 ↑

Table 3 shows the criteria of OCD, anxiety state, and conversion hysteresis according to the analysis of coefficients by mental disorders.

The reference values presented in Table 3 are classified into normal, OCD, anxiety state, and transitional hysteria according to the analysis results of 44 subjects. .

The EEG data of subjects classified into normal, obsessive-compulsive neurosis, anxiety state, and convertible hysteria using the Balken index method are used for the band-specific analysis of normal, OCD, anxiety state, and converting hysteria.

At this time, the feature vector and reference values for determining the normal / non-normal by mental disorders were used in Figure 2, Figure 2 was derived through the following experiment.

① Collects EEG data by presenting a total of 20 illustration screens to subjects in sequence

② FFT for each channel, analysis and storage for each band

③ Averaging by band / illustration and presenting the stored result value to remove change according to subject's characteristics

④ Perform frequency band analysis of statistical feature values classified by band

At this time, in order to extract the feature vector and the reference value which can distinguish only one mental disorder from the subject, only one of the three mental disorders is classified as abnormal, and the normal and the other two mental disorders are classified as normal, And the feature vector and the reference value specialized in discriminating each mental disorder were obtained by calculating the standard value and the standard value.

FIG. 6 shows a part of the extracted subject-specific feature vectors (20 equations including Alpha / Theta, Alpha + sBeta / Theta, Beta / Theta Alpha + hBeta / theta).

At this time, the reference value (part shown in red box in FIG. 6) for distinguishing between normal and non-normal persons by mental disorders is for subjects classified into normal, OCD, converting hysteria and anxiety state through Balken index method. It is decided between the highest value and the lowest value of each feature vector.

As shown in FIG. 7, when the various reference values were applied to each feature vector, the values with the highest discrimination ratio between normal and abnormal persons by mental disorder were selected as reference values by feature vectors.

As a result of analyzing the standard value of each feature vector, in case of feature vector, OCD, and transitional hysteric anxiety status of each mental disorder, the percentage of normal / abnormal persons among Delta / Alpha, Theta / Delta, and Delta / Alpha were different. The highest.

At this time, it was confirmed that the feature vector was 4.6, O2 2.49, and 3.35 in the state of OCD.

Obsessive-compulsive neurosis among the psychiatric disability feature vectors was similar to those of anxiety states, and the subjects were identified as normal / abnormal by using the same feature vector as the anxiety state. .

Therefore, in case of OCD, the standard value of Delta / Alpha was set to 4.6, and this value was divided into normal when 4.6 or more and abnormal when 4.6 or less. In the case of conversion hysteria, normal when Theta / Beta was 2.49 or less, and above 2.49. Was classified as abnormal.

In case of anxiety, Delta / Alpha level was above 3.35 and normal, and below 3.35.

Eventually, the feature vector and the reference numerical information are stored in the feature vector and the reference numerical database, and the subject who carries out the psychological test after referring to the vector and the reference numerical information through the EEG discrimination unit is subjected to normal, OCD, and conversion hysteresis only by measuring EEG. In other words, it is determined by any of the anxiety states.

Table 4 below shows the discrimination rate of normal / abnormal persons by mental disorder when classifying the subject into anxiety state, OCD, and transitional hysteria by using feature vectors and reference values for each mental disorder.

Further, after acquiring the EEG data extracted by the EEG data extracting unit according to another embodiment, the subject is referred to a normal, OCD, and conversion hysteresis by referring to the feature vector and reference numerical information stored in the feature vector and the reference numerical database. , The brain wave discrimination unit (not shown) for discriminating any one of the anxiety state by using the discrimination rate to classify the subject into each anxiety state, OCD, and transitional hysteria, the accuracy in determining the normal / abnormal people by mental disorders It is about.

<Table 4> Discrimination of normal / abnormal persons by mental disorder OCD Convertible Hysteria Anxiety Normal-> Normal 75.75 81.25 78.26 Normal-> Abnormal 24.25 18.75 21.74 Abnormal-> normal 20 17.86 14.29 Abnormal-> abnormal 80 82.14 85.71 Normal-> Normal 78.42 Abnormal-> abnormal 82.62

In order to improve the accuracy of discriminating subjects classified into normal, obsessive neurosis, transitional hysteria, and anxiety according to the feature vector and the reference value for each mental disorder, the EEG-induced potential analysis was performed by EEG analysis unit as an auxiliary indicator. Done.

That is, EEG induced potential is composed of a number of peaks such as N100, N200, P300, N400, P600, P800, etc. In the present invention, N200 reflects attention to stimulus, stimulus recognition, memory search, and resolution of uncertainty P300 is used to classify by mental disorder.

In FIG. 8, the EEG of the normal person is graphically shown using MATLAB.

FIG. 8 shows eight channels of data in different colors and simultaneously displays N200 and P300 points.

In the case of normal people, the intensity was about 26ms later than the N200 point, and about 26ms later, and in the case of P300, it was about 8ms later than the N300 point.

The result of analyzing the N200 and P300 points of the normal person was derived from the comparative analysis with the OCD, conversion hysteresis, anxiety state of Figs. 9A to 9C.

FIG. 9A shows that in the case of OCD of the abnormal group, the intensity of N16 occurs at an intensity of -166.3 ms about 70.1 ms before the reference N200 generated from the time when the stimulus is presented.

In addition, when compared with normal people, the intensity of -183.7 이전 occurs before 97.1ms compared to the N200 of normal people.In case of P300, the intensity of 186.7㎶ before 24.2ms before the reference point P300 generated from the point of time when the stimulus was presented. It can be seen that occurs.

In addition, compared with normal people, it was 41.3㎶ smaller than the normal group's P300 by about 15.8ms later.

FIG. 9B shows that the N200 in the abnormal group is generated at an intensity of -81.71 에 about 0.8 ms before the reference N200 generated from the time when the stimulus is presented.

In addition, when compared with the normal person, it appears -268.29㎶ smaller than 26.8ms before the N200 of the normal group, and in the case of P300, the intensity of 93.65㎶ occurs about 26.6ms before the reference point P300 generated from the point of time when the stimulus is presented. It can be seen.

In addition, compared with normal people, the intensity was 134.35㎶ less than 34.6ms before P300.

9c shows the N200 and P300 points when the anxiety group is in an unstable state. First, in the case of the N200 point, the intensity of -78 ㎶ occurs after about 61 ms after the reference N200 point generated from the point of time when the stimulus is presented. have.

In addition, it can be seen that the intensity is -272㎶ smaller after about 35ms compared to the N200 of the normal group compared to the normal person.In the case of P300, about 25.2 전에 before the reference P300 occurred 15ms before the stimulus was presented. Occurs with century.

In addition, it can be seen that the intensity is 202.8㎶ less than about 23ms before the P300 of the normal group.

When comparing normal people with anxiety, obsessive-compulsive neurosis, and convertible hysteria, each person has a slightly different signal intensity and time of occurrence.However, in the case of pure waveforms where artifact is not mixed and offset or distorted, P300 and N200 appear. The time difference, the time difference between two occurrence points, and the signal strength show statistical characteristics.

Therefore, by using these characteristics, subjects will be used as supplementary indicators in the classification of normal, anxiety, anxiety disorder, and conversion hysteria.

Eventually, the results of analyzing the N200 and P300 points for the normal person of FIG. 8 and each mental illness (OCD, conversion hysteresis, anxiety state) of FIGS. 9A to 9C were compared and analyzed by the EEG analysis unit. By using this as a supplementary indicator for the identification of normal / abnormal persons by mental disorders, a simple brain wave measurement during psychological testing provides the advantage of improving accuracy when classifying subjects into normal, anxiety, OCD, and conversion hysteria. Done.

Through the configuration and operation as described above, it is possible to solve the problem of communication (a problem that the psychological examination and analysis of severely disabled persons, foreigners, and infant subjects were difficult due to the problem of psychological examination conducted by the conversation between the subject and the examiner). It is possible to provide a subjective psychological examination and a diagnosis system for mental disorders without subjectivity.

Those skilled in the art to which the present invention pertains as described above may understand that the present invention may be implemented in other specific forms without changing the technical spirit or essential features of the present invention. Therefore, the above-described embodiments are to be understood as illustrative in all respects and not restrictive.

The scope of the invention is indicated by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the invention. do.

110: Illustration Database
120: illustration provider
130: EEG data extraction unit
140: voice data acquisition unit
150: Balken Index Analysis
160: EEG data analysis unit
170: Feature Vector and Reference Numerical Database
180: EEG Committee
190: EEG database

Claims (15)

An illustration database 110 for storing and managing TAT illustration information;
An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;
EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;
A voice data acquisition unit 140 for acquiring voice data of the subject;
A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;
The EEG data extracting unit 160 acquires EEG data extracted by the EEG data extracting unit and analyzes EEG data for each mental disorder (OCD, converting hysteria, anxiety state) classified using the Balken index analysis method. ;
BC eye-based psychological test using a brain wave, characterized in that it comprises a; feature vector and reference value database 170 for storing the feature vector and reference numerical value for each mental disorder analyzed by the EEG data analysis unit; Mental Disease Diagnosis System.
An illustration database 110 for storing and managing TAT illustration information;
An illustration providing unit 120 extracting a TAT illustration from the illustration database and providing the extracted TAT illustration on a display screen;
EEG data extraction unit 130 for extracting the EEG data of the subject measured by the EEG measuring unit;
A voice data acquisition unit 140 for acquiring voice data of the subject;
A Balken index analyzer 150 for classifying the acquired voice data into a group of subjects according to a psychological state by using a Balken index;
The EEG data extracting unit 160 acquires EEG data extracted by the EEG data extracting unit and analyzes EEG data for each mental disorder (OCD, converting hysteria, anxiety state) classified using the Balken index analysis method. ;
A feature vector and reference value database 170 for storing a feature vector and a reference numerical value for each mental disorder analyzed by the EEG data analysis unit;
An EEG analysis unit 180 for averaging brain waves measured based on a time point at which a specific stimulus is presented to remove an electrical activity portion of the brain which is not related to the stimulus, and extracting brain activity involved in stimulus processing;
BC eye utilization using EEG, characterized in that it comprises a ;; EEG database for storing the feature vectors and reference values of normal and abnormal persons by mental disorders analyzed by the EEG analysis unit Based psychological testing and mental illness diagnosis system. 3. The method according to claim 1 or 2,
After acquiring the EEG data extracted by the EEG data extracting unit, the subject is discriminated into one of normal, OCD, switchable hysteria, and anxiety by referring to the feature vector and reference numerical information stored in the feature vector and reference numerical database. Brain wave discrimination unit; BC eye-based psychological examination and psychological disease diagnosis system using brain waves, characterized in that further comprises.
The method of claim 2,
The EEG analysis unit,
BC eye-based psychological test and mental disease diagnosis system using the EEG, characterized by performing statistical feature analysis to classify subjects by group.
The method of claim 2,
The EEG analysis unit,
BC eye-based psychological examination and mental disorders diagnosis system using brain waves, characterized by categorizing three mental disorders such as anxiety, transitional hysteria and OCD using characteristics of 200 and P300. The method of claim 2,
The EEG analysis unit,
In order to extract feature vectors and reference values that can discriminate only one mental disorder, one of the three mental disorders, namely anxiety, transitional hysteria, and OCD, is classified as abnormal. BC eye-based psychological examination and mental disease diagnosis system using brain waves, characterized in that to obtain a feature vector and a reference value divided by normal.
The method of claim 2,
The EEG analysis unit,
Performing classification by mental disorder using N200 and P300 reflecting attention, stimulus, memory search, and resolution of uncertainty among the peaks of E100-induced potentials N100, N200, P300, N400, P600, and P800 BC eye based psychological examination and mental disease diagnosis system using the characteristic.
3. The method according to claim 1 or 2,
The feature vector and reference numerical value information for each mental disorder stored in the feature vector and reference value database 170 are:
After presenting the illustration screen to the subjects in sequence, collecting EEG data according to them, performing FFT for each channel, analyzing them by band, and then averaging them by band / illustration of the stored results to remove changes according to the characteristics of the subjects. BC eye based psychological test and mental disease diagnosis system using brain waves, characterized in that the information analyzed by frequency band of statistical feature values classified by the band after.
3. The method according to claim 1 or 2,
The brain wave data analysis unit 160,
BC eye-based psychological test and mental disease diagnosis system using brain waves, characterized by selecting the highest level of distinction between normal and abnormal by mental disorder as the reference value for each feature vector.
3. The method according to claim 1 or 2,
In the brain wave data analysis unit 160,
The standard value for distinguishing between normal and non-normal by mental disorders is to determine between the highest and lowest values for each feature vector for subjects classified into normal, obsessive-compulsive neurosis, transitional hysteria, and anxiety state using the Balken index. BC based psychological test and mental disease diagnosis system using brain waves.
3. The method according to claim 1 or 2,
The brain wave data analysis unit 160,
In case of OCD from the characteristic vector and reference value of mental disorders, Delta / Alpha is set to 4.6, and this value is divided into normal when 4.6 or more and abnormal when less than 4.6. Theta for conversion hysteria When / Beta is less than 2.49, it is classified as normal when it exceeds 2.49, and when it is over 2.49, it is classified as normal when Delta / Alpha is higher than 3.35 and abnormal when it is less than 3.35, and stored in the feature vector and reference value database. BC eye-based psychological examination and mental disease diagnosis system using the brain waves.
The method of claim 2,
The EEG analysis unit,
BC200 based psychological test using brain waves, characterized in that characteristics of N200 and P300 appear 26ms later with intensity of -350㎶ than N200, and P300 is 8ms later than N300 And mental illness diagnostic systems. The method of claim 2,
The EEG analysis unit,
In the case of N200, the intensity occurs at -166.3㎶ before 70.1ms before the reference N200 generated from the point of stimulus presentation, and at -183.7㎶ before 97.1ms compared to N200 in normal group. Occurs,
In case of P300, it occurs with an intensity of 186.7㎶ before 24.2ms before the reference point P300 generated from the point of time when the stimulus is presented. BC eye-based psychological test and mental disease diagnosis system using an EEG characterized in that it is classified as OCD among the population.
The method of claim 2,
The EEG analysis unit,
In the case of N200, the intensity is -81.71㎶ before 0.8ms before the reference N200 occurs from the point at which the stimulus is presented.In comparison with the normal, the intensity is -268.29 N before 26.8ms compared to N200 of the normal group. Occurs,
In the case of P300, the intensity is 93.65㎶ before 26.6ms before the reference point P300, which occurs from the point of time when the stimulus is presented, and when it is shown as the intensity of 134.35 P before 34.6ms compared to the P300 of the normal group BC eye based psychological test and mental disease diagnosis system characterized in that it is classified as a conversion hysteria among the abnormal group.
The method of claim 2,
The EEG analysis unit,
In the case of N200, the intensity is -78㎶ after 61ms after the reference N200 generated from the time when the stimulus is presented, and it occurs with the intensity of -272㎶ after 35ms compared to N200 of the normal group when compared with the normal person. ,
In case of P300, it occurs at 25.2㎶ of intensity 15ms before the reference point P300 generated from the point of time when the stimulus is presented, and it is abnormal when the intensity is 202.8 23 before 23ms compared to P300 of normal group. BC eye based psychological test and mental disease diagnosis system characterized by classifying anxiety state.

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