KR102478268B1 - Frontotemporal dementia diagnosis device and operation method thereof - Google Patents

Abstract

An apparatus for diagnosing frontotemporal dementia according to an embodiment of the present application is based on a test unit that performs a visual diagnostic test to receive an alternative input of matching between words, and a plurality of response information input from a person to be diagnosed through the visual diagnostic test. , a decision unit for determining a first evaluation target according to the elderly photo-half word set test and a second evaluation target according to the elderly photo-honorific word set test, the average reaction time and correct answer rate of the first evaluation target and the second evaluation A calculation unit for calculating honorific recognition ability information based on the average reaction time and correct answer rate of the subject, and a diagnosis unit for diagnosing symptoms of frontotemporal dementia of the diagnosis subject based on the honorific recognition ability information.

Description

Frontotemporal dementia diagnostic device and its operation method {FRONTOTEMPORAL DEMENTIA DIAGNOSIS DEVICE AND OPERATION METHOD THEREOF}

The present application relates to an apparatus for diagnosing frontotemporal dementia and a method of operating the same, and in particular, to a computer-based examination and examination method utilizing speech aspects.

Dementia refers to a state in which cognitive function is lost due to various causes, and symptoms such as memory decline, emotion and personality, and abnormal behavior cause difficulty in social interaction. Frontotemporal dementia is marked by personality changes and abnormal behavior from the early stages of the disease due to degeneration of the temporal lobe and frontal lobe.

As one of the early diagnosis methods for frontotemporal dementia, changes in language ability can be measured. Patients with frontotemporal dementia have more difficulty in naming verbs than in naming nouns, and lose the pragmatic ability necessary for conversation, showing aspects such as off-topic speech, dysphoria, and repetition.

To diagnose dementia, written tests such as the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are used.

An object of the present application is to provide a method for early diagnosis of frontotemporal dementia symptoms at low cost in adults.

An apparatus for diagnosing frontotemporal dementia according to an embodiment of the present application is based on a test unit that performs a visual diagnostic test to receive an alternative input of matching between words, and a plurality of response information input from a person to be diagnosed through the visual diagnostic test. , a decision unit for determining a first evaluation target according to the elderly photo-half word set test and a second evaluation target according to the elderly photo-honorific word set test, the average reaction time and correct answer rate of the first evaluation target and the second evaluation A calculation unit for calculating honorific recognition ability information based on the average reaction time and correct answer rate of the subject, and a diagnosis unit for diagnosing symptoms of frontotemporal dementia of the diagnosis subject based on the honorific recognition ability information.

A method of operating an apparatus for diagnosing frontotemporal dementia according to an embodiment of the present application, comprising the steps of performing a visual diagnosis test in which a match between a picture and a word is input alternatively, and a plurality of inputs received from a person to be diagnosed through the visual diagnosis test. Based on the response information of, determining a first evaluation target according to the elderly photo-half word set test and a second evaluation target according to the elderly photo-honorific word set test, average reaction time and correct answer rate of the first evaluation target and calculating honorific recognition ability information based on the average reaction time and correct answer rate of the second evaluation target, and diagnosing symptoms of frontotemporal dementia for the diagnosis subject based on the honorific recognition ability information. .

Since the apparatus for diagnosing frontotemporal dementia according to an embodiment of the present application alternatively receives a plurality of response information as it performs a visual diagnostic test, it can provide a conventional complex dementia test more conveniently.

In addition, since the frontotemporal dementia diagnostic apparatus can diagnose frontotemporal dementia of a subject based on honorific recognition ability information, it can provide dementia diagnosis results using linguistic aspects, and at the same time, it can provide information about dementia diagnosis tests You can be less constrained by time and place.

1A is a block diagram of an apparatus for diagnosing frontotemporal dementia of the present application.
FIG. 1B is an embodiment of the apparatus for diagnosing frontotemporal dementia of FIG. 1A.
2(A) to 2(C) are examples of visual diagnostic tests displayed on the screen of FIG. 1B.
FIG. 3 is a view showing the inspection unit of FIG. 1A in detail;
FIG. 4 is a view specifically showing the decision unit of FIG. 1A.
5 is an operation process of the frontotemporal dementia diagnosis apparatus of FIG. 1A.

Hereinafter, embodiments of the present application will be described with reference to specific embodiments and accompanying drawings. However, the embodiments of the present application may be modified in many different forms, and the scope of the present application is not limited to the embodiments described below. In addition, the embodiments of the present application are provided to more completely explain the present invention to those skilled in the art. Therefore, the shape and size of elements in the drawings may be exaggerated for clearer explanation, and elements indicated by the same reference numerals in the drawings are the same elements.

In addition, in order to clearly describe the present application in the drawings, parts irrelevant to the description are omitted, and the thickness is enlarged to clearly express various layers and regions, and components having the same function within the scope of the same concept are referred to as the same reference. Explain using symbols. Furthermore, throughout the specification, when a certain component is said to "include", it means that it may further include other components without excluding other components unless otherwise stated.

1A is a block diagram of an apparatus 10 for diagnosing frontotemporal dementia of the present application, FIG. 1B is an embodiment of the apparatus 10 for diagnosing frontotemporal dementia of FIG. 1A, and FIGS. 2(A) to 2(C) ) are examples of visual diagnostic tests displayed on the screen 11 of FIG. 1B.

Referring to FIGS. 1A and 1B , the apparatus 10 for diagnosing frontotemporal dementia may include an examination unit 100 , a determination unit 200 , a calculation unit 300 and a diagnosis unit 400 .

First, the test unit 100 may output a visual diagnosis test to receive an alternate input of whether a photo and a word match or not through the screen 11 to be diagnosed.

Here, the visual diagnostic test may include a plurality of picture-word set tests provided in random order.

Specifically, the plurality of photo-word set tests include the elderly photo-half word set test, the elderly photo-honorific word set test, the elderly photo-unrelated word set test, the child photo-half word set test, and the child photo-honorific word set. It may include a child photo-irrelevant word set test, an adult photo-half word set test, an adult photo-honorific word set test, and an adult photo-irrelevant word set test.

For example, elderly photos refer to face photos of standardized elderly people aged 65 or older, child photos refer to standardized face photos of children aged 12 or younger, and adult photos refer to standardized adult faces between 20 and 40 years of age. can mean pictures.

Each of the plurality of photo-word set tests according to the embodiment includes a gaze point 101, a photo 102, a word 103, and alternatively a pair of input markers 104_1 and 104_5 for inputting response information on the screen. can be displayed sequentially through

For example, as shown in FIG. 2(A), the elderly photo-half word set test determines whether a gaze point 101, an elderly photo 102, a half term word 103, and matching between the elderly photo and the half term word are checked. It may be a visual diagnostic test in which a pair of received input marks 104_1 and 104_2 are sequentially displayed.

As shown in FIG. 2 (B), the elderly photo-honorific word set test is a pair of inputs for matching between the gaze point 101, the elderly photo 102, the honorific word 103, and the elderly photo and the honorific word. It may be a visual diagnostic test in which the input marks 104_1 and 104_2 are sequentially displayed.

As shown in FIG. 2(C), the elderly photo-irrelevant word set test inputs the matching between the gaze point 101, the elderly photo 102, the irrelevant word 103, and the elderly photo and irrelevant words. It may be a visual diagnostic test in which a pair of received input marks 104_1 and 104_2 are sequentially displayed.

That is, the child photo-half word set test, the child photo-honorific word set test, and the child photo-irrelevant word set test are visual diagnostic tests using a child photo instead of an elderly photo, and an adult photo-half word set test and an adult photo. The honorific word set test and the adult photo-irrelevant word set test may be a visual diagnostic test using an adult photo instead of an elderly photo.

Specifically, in order to perform a visual diagnostic test, the inspector 100 may receive a plurality of photo-word set tests from the database 50 and output them through the screen 11 in random order. Then, the inspection unit 100 may receive a plurality of response information according to a plurality of picture-word set tests.

In this case, the inspection unit 100 may measure a reaction time for each of a plurality of response information according to the visual diagnosis test, and check correct answer information for each of a plurality of response information.

Then, the inspection unit 100 may output an inspection completion signal to the determination unit 200 based on the number of pieces of response information.

Next, the determination unit 200 determines the first evaluation target according to the elderly photo-half word set test and the elderly photo-honorific word set test based on the plurality of response information input from the diagnosis subject through the visual diagnosis test. A second evaluation target may be determined.

Here, each evaluation target may include at least one response information received for each photo-word set examination, an average reaction time corresponding to the at least one response information, and a correct answer rate corresponding to the at least one response information.

For example, the determination unit 200 corresponds to the first at least one response information and the first at least one response information received according to the elderly photo-short word set test among the plurality of response information stored in the database 50. An average reaction time and a correct answer rate corresponding to the first at least one response information may be determined as the first evaluation target. In addition, the determination unit 200 determines the average of the second at least one response information received according to the elderly photo-honorific word set test among the plurality of response information stored in the database 50 and the second at least one response information. A reaction time and a correct answer rate corresponding to the second at least one response information may be determined as the second evaluation target.

Specifically, the determination unit 200 may classify at least one piece of response information grouped for each photo-word set test from a plurality of response information stored in the database 50 into a plurality of pieces. In this case, the determination unit 200 may generate a plurality of evaluation targets by calculating an average reaction time and a correct answer rate for a plurality of at least one piece of response information. Then, the determination unit 200 may extract a first evaluation target according to the elderly photo-half word set test and a second evaluation target according to the elderly photo-honorific word set test of the plurality of evaluation objects.

Next, the calculation unit 300 calculates the honorific recognition ability information of the person to be diagnosed based on the first average reaction time and first correct answer rate of the first evaluation subject and the second average reaction time and second correct answer rate of the second evaluation subject. can be calculated.

The calculation unit 300 according to the embodiment may calculate honorific recognition ability information through the following formula (1).

(1)이고, RTa는 제1 평균 반응시간, RTb는 제2 평균 반응시간, ACCa는 제1 정답률 및 ACCb는 제2 정답률일 수 있다. Here, formula (1) is

(1), where RTa is the first average reaction time, RTb is the second average reaction time, ACCa is the first correct answer rate, and ACCb is the second correct answer rate.

Specifically, the calculation unit 300 may extract a first correct answer rate and a first average reaction time from the first evaluation target, and may extract a second correct answer rate and a second average reaction time from the second evaluation target. Then, the calculation unit 300 may calculate honorific recognition ability information through the following calculation formula (1) based on the first and second correct answer rates and the first and second average reaction times.

Next, the diagnosis unit 400 may diagnose symptoms of frontotemporal dementia for the subject of diagnosis based on the honorific recognition ability information calculated through the calculation unit 300 .

Specifically, the diagnosis unit 400 may receive the honorific recognition ability information calculated through the calculation unit 300 and average honorific recognition ability information of the same age group previously collected from the database 50 . At this time, the diagnosis unit 400 may compare the honorific recognition ability information with the previously collected average honorific recognition ability information of the same age group, and diagnose frontotemporal dementia based on the comparison result.

As shown in FIG. 1B , the database 50 collects information on the recognition ability of honorifics of ordinary people by age group in advance as a control group, and stores and manages information on the average recognition ability of honorific words by age group. That is, the frontotemporal dementia diagnosis device 10 has a screen 11 and is among tablet PCs, portable PCs and smart phones, portable game consoles, PDP players, and portable electronic dictionaries that can be communicatively connected to the database 50 through a network. Either one can be implemented.

According to an embodiment, if the honorific recognition ability information is smaller than the average honorific recognition ability information of the same age group of the diagnosis subject, the diagnosis unit 400 may diagnose the diagnosis subject as a symptom of frontotemporal dementia.

According to another embodiment, when the honorific recognition ability information is greater than or equal to the average honorific proficiency score of the diagnosis subject in the same age group, the diagnosis unit 400 may diagnose the diagnosis subject as asymptomatic for frontotemporal dementia.

Since the apparatus 10 for diagnosing frontotemporal dementia according to an embodiment of the present application can alternatively receive a plurality of response information through the examination unit 100 as it performs a visual diagnosis examination, the conventional complex dementia examination is more difficult. can be easily provided.

In addition, the apparatus 10 for diagnosing frontotemporal dementia is capable of diagnosing frontotemporal dementia of a subject to be diagnosed through the diagnosis unit 400 based on the honorific recognition ability information calculated through the determination unit 200 and the calculation unit 300. Therefore, it is possible to provide a dementia diagnosis result using a linguistic aspect, and at the same time, it is possible to be less constrained by time and place for a dementia diagnosis test.

FIG. 3 is a diagram showing the inspection unit 100 of FIG. 1A in detail.

Referring to FIGS. 1A to 3 , the inspection unit 100 may include an inspection output unit 110 , an inspection measurement unit 120 , an inspection confirmation unit 130 and an identification unit 140 .

First, the test output unit 110 may receive a visual diagnostic test from the database 50 and output a plurality of photo-word set tests included in the visual diagnostic test through the screen 11 in random order. Here, the screen 11 may be a touch panel capable of input and output.

Next, as the pair of input marks 104_1 and 104_2 are output, the test measurement unit 120 may measure the reaction time based on the response information received alternatively. Here, the reaction time may mean a time from when a pair of input marks are output through the screen 11 to when response information is received.

Next, the check confirmation unit 130 may check correct answer information for the response information based on response information according to a pair of input marks and preset correct answer information.

For example, when response information according to a pair of input marks and preset correct answer information are the same, the check confirmation unit 130 may check and count correct answer information for the response information as a correct answer. In addition, when the response information according to the pair of input marks is not the same as the preset correct answer information, the check confirmation unit 130 may check correct answer information for the response information as an incorrect answer.

Next, the identification unit 140 responds by receiving the reaction time measured through the test measurement unit 120 and correct answer information confirmed through the test confirmation unit 130 according to the plurality of photo-word set tests. Information can be identified and stored in the database 50 .

For example, the identification unit 140 assigns the same identification number to the first response information, the first response time for the first response information, and the first correct answer information for the first response information, so that the database 50 ) can be stored.

FIG. 4 is a diagram showing the decision unit 200 of FIG. 1A in detail.

Referring to FIGS. 1A to 4 , the determination unit 200 may include a data classification unit 210 , an evaluation target generation unit 220 and a data extraction unit 230 .

First, the data classification unit 210 may classify at least one response information grouped for each photo-word set examination from a plurality of response information stored in the database 50 into the number of photo-word set examinations.

For example, the data classification unit 210 converts a plurality of response information stored in the database 50 into first at least one response information according to the elderly photo-half word set test, and second at least one response information according to the elderly photo-honorific word set test. 2 at least one response information, and at least one third response information according to the elderly photo-irrelevant word set test.

Next, the evaluation target generation unit 220 may generate a plurality of evaluation targets by calculating an average reaction time and a correct answer rate for at least one piece of response information classified through the data classification unit 210 .

For example, the evaluation target generating unit 220 calculates a first correct answer rate and a first average reaction time for the first at least one response information, and calculates the first at least one response information, the first correct answer rate, and the first average response. Time may be created as the first evaluation target. In addition, the evaluation target generation unit 220 calculates a second correct answer rate and a second average reaction time for the second at least one response information, and calculates the second at least one response information, the second correct answer rate, and the second average reaction time. It can be created as a second evaluation target.

Next, the evaluation target extraction unit 230 may extract first and second evaluation targets corresponding to the honorific speech recognition ability from among the plurality of evaluation targets generated by the evaluation target generation unit 220 .

Here, the first evaluation target may include first at least one response information according to the elderly picture-half word set test, average reaction time and correct answer rate for the first at least one response information.

In addition, the second evaluation target may include the second at least one response information according to the elderly photo-honorific word set test, the average reaction time and correct answer rate for the second at least one response information.

The evaluation target extraction unit 230 according to the embodiment may change the first and second evaluation targets to the rest of the plurality of evaluation targets based on a signal manually input from the manager.

FIG. 5 is an operation process of the frontotemporal dementia diagnosis apparatus 10 of FIG. 1A.

Referring to FIGS. 1A to 5 , first, in step S110, the inspection unit 100 may perform a visual diagnostic test through the screen 11 to receive an alternative input of whether a photo and a word match.

Then, in step S120, the determination unit 200 selects the first evaluation target and the elderly-honorific word set according to the elderly photo-half word set test based on the plurality of response information input from the diagnosis subject through the visual diagnosis test. A second evaluation target may be determined according to the examination.

At this time, in step S130, the calculation unit 300 calculates the honorific recognition capability information based on the first average reaction time and first correct answer rate of the first evaluation target and the second average reaction time and second correct answer rate of the second evaluation target. can be calculated.

The calculation unit 300 according to the embodiment may calculate honorific recognition ability information through the following formula (1).

(1)이고, RTa는 제1 평균 반응시간, RTb는 제2 평균 반응시간, ACCa는 제1 정답률 및 ACCb는 제2 정답률일 수 있다. Here, formula (1) is

(1), where RTa is the first average reaction time, RTb is the second average reaction time, ACCa is the first correct answer rate, and ACCb is the second correct answer rate.

Thereafter, in step S140 , the diagnosis unit 400 may diagnose symptoms of frontotemporal dementia for the diagnosis subject based on the honorific recognition ability information calculated through the calculation unit 300 .

This application has been described with reference to an embodiment shown in the drawings, but this is merely exemplary, and those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present application should be determined by the technical spirit of the attached claims.

10: frontotemporal dementia diagnosis device
100: inspection unit
200: decision unit
300: calculation unit
400: diagnosis unit

Claims (10)

an inspection unit that performs a visual diagnostic test to receive input as an alternative to whether or not a picture and a word are matched;
Based on the plurality of response information input from the subject of diagnosis through the visual diagnosis test, determining a first evaluation target according to the elderly photo-half word set test and a second evaluation target according to the elderly photo-honorific word set test wealth;
a calculation unit that calculates honorific recognition ability information based on the average reaction time and rate of correct answers of the first evaluation target and the average reaction time and percent correct answer of the second evaluation target; and
A diagnosis unit configured to diagnose symptoms of frontotemporal dementia of the person to be diagnosed based on the honorific recognition ability information;
The calculator calculates the honorific recognition ability information through the following formula (1),
The above formula (1) is

ego,
Here, RTa is the first average reaction time, RTb is the second average reaction time, ACCa is the first correct answer rate, and ACCb is the second correct answer rate. According to claim 1,
The visual diagnostic test includes a plurality of picture-word set tests output in random order. According to claim 2,
The apparatus for diagnosing frontotemporal dementia, wherein each of the plurality of picture-word set tests sequentially displays a gaze point, a picture, a word, and alternatively a pair of input marks for inputting response information. According to claim 3,
The test unit includes a test output unit outputting the plurality of photo-word set tests through a screen in random order;
a test measurement unit for measuring a reaction time based on the response information received as the pair of input marks are output;
a test confirmation unit that checks correct answer information for the response information based on the response information and preset correct answer information; and
An apparatus for diagnosing frontotemporal dementia, comprising: an identification unit for identifying the reaction time and the correct answer information for each response information received according to the plurality of picture-word set tests. According to claim 4,
The determining unit may include a data classifying unit classifying at least one response information grouped for each photo-word set test from a plurality of response information stored in a database;
an evaluation target generation unit generating a plurality of evaluation targets by calculating an average reaction time and a correct answer rate for the at least one piece of response information;
An apparatus for diagnosing frontotemporal dementia comprising an evaluation subject extraction unit for extracting first and second evaluation subjects corresponding to honorific speech recognition abilities from among the plurality of evaluation subjects. delete According to claim 5,
The database is a frontotemporal dementia diagnosis device that collects information on the recognition ability of ordinary people by age group in advance and stores and manages information on the average honorific recognition ability information by age group. According to claim 7,
Wherein the diagnostic unit diagnoses the person to be diagnosed as a frontotemporal dementia symptom when the honorific recognition ability information and the collected average honorific recognition ability information of the same age group are smaller than the frontotemporal dementia diagnosis apparatus. According to claim 7,
Wherein the diagnostic unit diagnoses the person to be diagnosed as asymptomatic for frontotemporal dementia when the honorific recognition ability information and the previously collected average recognition information of the same age group are smaller than the frontotemporal dementia diagnosis apparatus. As a method for providing predictive information on frontotemporal dementia,
Performing a visual diagnosis test to receive an alternative input as to whether or not a picture and a word are matched;
Determining a first evaluation target according to the elderly photo-half word set test and a second evaluation target according to the elderly photo-honorific word set test based on a plurality of response information input from the test subject through the visual diagnostic test ;
Calculating honorific recognition ability information based on the average reaction time and percent correct answer of the first evaluation target and the average reaction time and percent correct answer of the second evaluation target; and
Based on the honorific recognition ability information, providing prediction information about frontotemporal dementia symptoms for the test subject,
The calculation unit calculates the honorific recognition ability information through the following formula (1),
The above formula (1) is

ego,
Here, RTa is a first average reaction time, RTb is a second average reaction time, ACCa is a first correct answer rate, and ACCb is a second correct answer rate, a method for providing prediction information about frontotemporal dementia.

Images