CN117769384A - Image-based dementia diagnosis system and method - Google Patents

Image-based dementia diagnosis system and method Download PDF

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Publication number
CN117769384A
CN117769384A CN202280053362.XA CN202280053362A CN117769384A CN 117769384 A CN117769384 A CN 117769384A CN 202280053362 A CN202280053362 A CN 202280053362A CN 117769384 A CN117769384 A CN 117769384A
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China
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image
dementia
subject
memory
screen
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李准荣
卢俞宪
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Yimoke Co ltd
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Yimoke Co ltd
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Priority claimed from PCT/KR2022/011808 external-priority patent/WO2023018159A1/en
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Abstract

The present invention relates to an image-based dementia diagnosis system which can rapidly and easily diagnose dementia without a professional, and rapidly and accurately diagnose dementia and screen light patients, and by image display, even elderly people having difficulty in recognizing characters can easily check. The dementia diagnosis system includes: a character input unit (10) for allowing a subject to input characters; a data memory (20) for storing data for diagnosis and examination; a display (30) capable of displaying various images and data on a screen; a selection operator (40) that allows the subject to select an item by operation; and a controller (50) connected to and controlling various devices including the text input unit 10, and checking memory based on the image to judge dementia.

Description

Image-based dementia diagnosis system and method
Technical Field
The present invention relates to a dementia diagnosis system and method, and more particularly, to an image-based dementia diagnosis system and method, which can rapidly and easily diagnose dementia without a professional, and can rapidly and accurately diagnose dementia early and screen light patients, and can easily check even elderly people having difficulty in recognizing characters through image display.
Background
Dementia generally refers to a series of symptoms caused by brain diseases. As dementia progresses, it affects mental capacity, actions and daily life performance, and is characterized by a lack of daily mobility due to a decline in cognitive ability.
In general, when two or more cognitive functions are significantly impaired, a doctor may diagnose dementia. Such cognitive functions include memory, language skills, information understanding, spatial skills, diagnostic power and attention. Dementia patients may experience difficulties in solving problems and controlling emotion and may experience character changes.
The exact symptoms experienced by dementia patients depend on the site of damage to the brain by the disease causing the dementia. Dementia, in which a part of the nerve cells of the brain are stopped in function, lose communication with other cells and die, is generally steadily progressed. That is, dementia gradually spreads to the brain, and the symptoms of the patient worsen with the passage of time.
Dementia is a typical neurodegenerative brain disease associated with age, with about 5-10% of the prevalence among elderly people over 65 years of age worldwide, and most dementia patients exhibit symptoms such as progressive cognitive dysfunction, hallucinations, delusions, and disability.
In the case of Alzheimer's disease, which is most typical of dementia, in nerve cells of the cerebral cortex, a waste mass called amyloid beta, which is a waste material presumably causes necrosis of nerve cells, is observed in the nerve fiber bundles and around the brain cells.
This Alzheimer's disease accounts for about 70% of all dementias, the most common disease, and recently it is estimated that about 60 thousands of Alzheimer's disease patients will occur annually in China.
Alzheimer's disease is a representative degenerative dementia disease, which causes decline of cognitive function and daily life skills through degeneration of brain nerve cells, is a dire disease which even causes death, and brings great pain to patients and great trouble to the families of care patients.
The diagnosis of dementia is to confirm the impairment of daily life and social activities caused by cognitive dysfunction through detailed medical history collection and evaluation, and to check the presence or absence of cerebrovascular diseases, brain atrophy, etc. through brain functional imaging, thereby confirming dementia.
In the early stage of dementia, it is difficult to distinguish from senile amnesia, so that neuropsychological examination is performed to comprehensively evaluate memory and language ability, computing ability, spatiotemporal perceptibility, diagnostic ability, etc. to diagnose dementia. In order to diagnose such dementia, further accurate examination is required based on interviews with patients/guardians and various information acquired through screening examination. Further precision examinations include neuropsychological examinations (SNSB), blood examinations, or various types of brain imaging examinations (CT, MRI, PET), and the like.
As an example of further precision examination, magnetic resonance imaging (magnetic resonance imaging, MRI) imaging may play an important role in distinguishing dementia types. It is possible to diagnose whether or not dementia close to Alzheimer's disease or dementia close to vascular dementia by this examination, and it is also possible to provide some help in judging whether or not dementia is caused by other diseases.
However, the prior art as described above has the following problems.
Dementia such as Alzheimer's disease is an irreversible disease, and no treatment method capable of completely curing has been developed at present, so that it is an optimal scheme to diagnose dementia and delay its progress as early as possible, but the following problems still exist: dementia diagnosis by means of detailed medical history collection and evaluation of a professional doctor is a factor that prevents rapid diagnosis of many patients due to deficiency of the professional doctor, and increases the cost of screening dementia patients in the national range.
In addition, the brain imaging diagnosis conventionally used for dementia diagnosis has the following problems: although the equipment is expensive and delicate, it can be confirmed only in cases where brain diseases or brain atrophy have progressed considerably, and thus it is difficult to use for the purpose of early diagnosis of dementia.
In addition, dementia patients are often elderly, illiterate or low in education level and cannot recognize characters well, so there are problems in that the examination itself using a questionnaire is difficult, and a lot of time and labor are required for the examination.
Therefore, there is an urgent need to develop an appropriate and breakthrough technique capable of simply and rapidly diagnosing dementia early.
Disclosure of Invention
Technical problem to be solved by the invention
Accordingly, the present invention has been made to solve the above-mentioned problems occurring in the prior art.
The invention aims to provide an image-based dementia diagnosis system and method, which can rapidly and easily diagnose dementia without professional staff, can rapidly and accurately diagnose dementia and screen light patients, and can easily check even elderly people with difficult character recognition through image display.
Technical proposal
In order to achieve the above object, an "image-based dementia diagnosis system" according to the present invention includes: a text input unit that allows a subject to be able to input text by operation; a data memory which stores image data composed of different images drawn in such a manner that a word in one noun form is expressed as an image, and stores data for disturbing memory, and is capable of storing dementia information of each subject; a display that displays the diagnostic data and the inspection data on a screen so that the subject can be visually confirmed; a selection operator allowing a subject to be able to select a selection item of image data and material displayed on a screen through the display by operation; and a controller connected to and controlling the text input unit, the data storage, the display, and the selection operator. The controller includes: an information input unit for allowing the subject to input personal information of the subject through the character input unit; an image display unit which extracts 5 to 15 images from the images of the image data, sequentially outputs the extracted images through a screen of the display, and displays the extracted images to a subject; a memory disturbing section for disturbing the memory by outputting data for disturbing the memory through a screen of the display to disturb the memory of the subject; an examination question generation unit that generates an examination question by randomly mixing a plurality of images including an image in which the presented image is a correct answer and images other than the presented image are wrong answers after outputting data for disturbing the memory; a memory check execution unit that sequentially outputs the generated check questions through a screen of the display and executes a memory check, in which a correct answer is selected when an image outputted as the check question is identical to the displayed image, and a wrong answer is selected when the image outputted as the check question is different from the displayed image; and a dementia judging unit for judging whether the patient has dementia and/or judging the dementia state according to the degree of wrong answer rate of the examination questions confirmed by the memory examination after the memory examination is completed.
In addition, the "image-based dementia diagnosis method" according to the present invention includes: an information input step of inputting personal information of the subject to a personal information input box displayed on a screen; an image preparation step of preparing a plurality of different images to be drawn in such a manner that a word in one noun form is expressed as an image; an image display step of extracting 5 to 15 images from the prepared images, sequentially displaying the extracted images on a screen and displaying the images to a subject so that the subject remembers; a memory disturbing step of outputting data capable of concentrating the attention of the subject on a screen after the image is displayed, so as to disturb the memory of the subject; an examination question generation step of generating an examination question by randomly mixing a plurality of images including an image in which the displayed image is a correct answer and images other than the displayed image are wrong answers after outputting the data for disturbing the memory; a memory check execution step of sequentially outputting the generated check questions and executing a memory check, wherein in the memory check, when the output is the same as the displayed image in the images of the check questions, the memory check is selected as a correct answer, and when the output is different from the displayed image, the memory check is selected as a wrong answer; and a dementia judging step of judging whether or not a dementia is present and/or judging a dementia state based on the degree of wrong answer rate of the examination questions confirmed by the memory examination after the memory examination is completed.
Effects of the invention
As described above, the present invention has the following effects: the diagnosis of dementia can be rapidly and easily performed without a professional, and the early diagnosis of dementia and the screening of light patients can be rapidly and accurately performed, and even the elderly with difficulty in recognizing characters can be easily inspected by image display, so hundreds of thousands of patients suffering from dementia in the whole population can be rapidly and simply screened at relatively low cost in the national range.
Drawings
Fig. 1 is a schematic configuration diagram showing a dementia diagnosis system of the present invention.
Fig. 2 is a schematic configuration diagram showing a controller of the dementia diagnosis system of the present invention.
Fig. 3 to 5 are exemplary diagrams showing an information input unit of the dementia diagnosis system of the present invention.
Fig. 6 to 8 are exemplary diagrams showing an image display unit of the dementia diagnosis system of the present invention.
Fig. 9 is an exemplary diagram showing various images for the dementia diagnosis system of the present invention.
Fig. 10 to 15 are exemplary diagrams showing a memory disturbance portion of the dementia diagnosis system of the present invention.
Fig. 16 to 18 are exemplary diagrams showing a memory check execution unit of the dementia diagnosis system according to the present invention.
Fig. 19 is an exemplary diagram showing various examples of a result display section of the dementia diagnosis system of the present invention.
Fig. 20 is a step diagram showing the dementia diagnosis method of the present invention.
Detailed Description
The present invention relates to an image-based dementia diagnosis system that can perform dementia diagnosis quickly and easily without a professional, and can perform dementia early diagnosis and screening of light patients quickly and accurately, and can perform inspection easily even elderly people having difficulty in recognizing characters through image display, and includes: a character input unit 10 for allowing a subject to input characters; a data memory 20 storing data for diagnosis and examination; a display 30 that can display various images and data on a screen; a selection operator 40 that allows the subject to select an item by operation; the controller 50 is connected to and controls various devices including the text input device 10, and checks memory based on images, thereby judging dementia.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
Hereinafter, preferred embodiments of the present invention will be described in more detail with reference to the accompanying drawings. It should be understood, however, that the invention may be embodied in many different forms and should not be limited to the embodiments described.
Fig. 1 to 19 are diagrams showing the dementia diagnosis system of the present invention. As shown in the drawing, the image-based dementia diagnosis system according to the present invention includes: a character input unit 10 for allowing a subject to input characters; a data memory 20 storing data for diagnosis and examination; a display 30 that can display various images and data on a screen; a selection operator 40 that allows the subject to select an item by operation; the controller 50 is connected to and controls various devices including the text input device 10, and checks memory based on images to determine dementia.
The text input device 10 may be used to input text, such as a keyboard, and allows a subject to be able to input text by operation.
The data memory 20 is a storage device such as a memory or a hard disk, which can store digital data, in which image data composed of different images drawn in such a manner that words in the form of one noun are expressed as images is stored, and data for disturbing memory is stored, and dementia information of each subject can be stored.
Here, the image is created, digitized, and stored for memory check. The produced image is shown as an example in fig. 9, which is an image in which words in the form of a noun (for example, an umbrella, a bus, a teacher, a radio, a hat, a tortoise, etc.) are respectively expressed as pictures. That is, the image is formed so that the subject can visually recognize a word in the form of a noun.
The display 30 is a device for displaying data or images on a screen (e.g., a display or a liquid crystal display) for displaying the diagnostic data and the inspection data on the screen so that the subject can be visually confirmed.
The selection operator 40 is a device (e.g., a button or a touch screen) that allows a user to select items or execute commands by finger operations, and allows a subject to operate and select selected items of image data and materials displayed on the screen by the display 30.
The controller 50 is a microprocessor-like device that is connected to and controls the text input 10, the data memory 20, the display 30, and the selection manipulator 40 to display images and interfere with memory, and judges dementia by performing memory check on the displayed images.
The controller 50 as described above includes an information input section 51, an image display section 52, a memory disturbing section 53, an examination question generating section 54, a memory examination executing section 55, and a dementia judging section 56.
The information input unit 51 allows the subject to input personal information of the subject via the character input unit 10. The personal information of the subject input in this way plays a role of distinguishing the subject from each other.
As shown in fig. 3, the personal information is the name, the birth date, the sex, the school, and the contact information of the subject, and these items are input by the subject.
Here, the birth date means the date of birth of the subject, the sex is male and female, the school means the degree of the subject, and the contact means a telephone number which can be contacted with the subject.
Preferably, the selection can be made on a year level from the time of no study to the time of doctor, in order to distinguish and grasp the learning information in detail. As shown in fig. 4, such an academy may be selected by scrolling through items specified by year.
The image presentation section 52 extracts 5 to 15 images from the images of the image data, and sequentially outputs the extracted images through the screen of the display 30 and presents them to the subject so that the subject appropriately memorizes the images (refer to fig. 8). As shown in fig. 8, when an image is displayed on the screen by the image display section 52, the current state (for example, the total number of displayed images and the number currently displayed) is displayed on the screen so that the subject can visually confirm the current state.
Each of the images displayed by the image display section 52 is preferably displayed on the screen for 1 second to 3 seconds, because when each image is displayed on the screen for a time shorter than 1 second, the subject may not be able to memorize properly, and when each image is displayed on the screen for a time longer than 3 seconds, it may be too easy to memorize, possibly resulting in a significant drop in erroneous answer rate or the like, and deterioration in discrimination ability.
The image display section 52 further includes: an inspection start notification unit 521 that outputs an inspection start notification notice for notifying the start of inspection on a screen before the image is displayed; a request memorization notification unit 522 that, after completion of the inspection start notification, outputs a request memorization notification notice for requesting memorization of the displayed image while notifying the number of images to be displayed on the screen.
As shown in the example in fig. 6, the inspection start notification section 521 outputs an inspection start notification of "start of a photo task memory inspection" on a screen so that the inspected object can recognize.
The inspection start notification may be outputted not only by text but also by voice through a voice output device (e.g., speaker) connected to the controller 50, which means that the notification item can be easily recognized even for an object to be inspected that is not known or is difficult to read. The inspection start notification may be output by selecting a screen output and a voice output, or may be output by simultaneously performing the screen output and the voice output.
As shown in the example in fig. 7, the request remembering notification section 522 outputs a request remembering notification notice "please watch 10 pictures carefully and remember (check time 40 seconds)" on the screen so as to enable the subject to recognize that the image to be displayed is remembered. The request to remember notification bulletins may selectively employ screen output and voice output by connecting a speaker to the controller 50, or may employ both screen output and voice output.
After notifying the start of the inspection and notifying the request to memorize, the extracted images are sequentially presented through the screen as shown in fig. 8.
The memory disturbing section 53 outputs data for disturbing the memory through the screen of the display 30, and for disturbing the memory of the subject for the image by focusing attention of the subject.
The memory disturbing section 53 includes: the attention test notification unit 531 outputs an attention test notification notice for notifying the start of the attention test of the subject on the screen after the presentation of the extracted image is completed; an inspection mode notification unit 532 that outputs an inspection mode notification notice for notifying the time required for the inspection while notifying the attention inspection mode on the screen after the notification of the attention inspection is completed; and an attention check execution unit 533 that executes an attention check after completing the notification of the check mode.
As shown in the example in fig. 10, the attention check notification section 531 outputs "this time the attention is to be checked" in text form on the screen. "attention check notification announcement to guide the subject to feel as if an individual check is being performed, so that the memory disturbing process can be started in a state in which the subject does not recognize that the memory disturbing process is being performed on the image.
The attention deficit notification announcement may selectively employ screen output and voice output by connecting a speaker to the controller 50, or may employ both screen output and voice output.
As shown in the examples in fig. 11 and 14, the inspection mode notification portion 532 outputs "when a black circle appears, please press the selection, and circles of other colors do not press the selection" in text form on the screen. (examination time 40 seconds) "the examination mode notification notice, whereby the subject can be made to appropriately recognize the execution mode of the attention examination (actually, the memory disturbance process).
The inspection mode notification announcement may selectively employ screen output and voice output by connecting a speaker to the controller 50, or may employ both screen output and voice output.
As shown in the example in fig. 15, the attention test execution section 533 interferes with the memory of the image by the subject by executing the attention test.
Here, as shown in the example in fig. 15, the attention test is preferably a color discrimination test which sequentially shows a plurality of colors and selects a specific color as a correct answer therein in order to increase the attention of the subject and facilitate the memory disturbance test.
As shown in fig. 15, the attentiveness check consists of 10 to 30 questions, black as a correct answer, and red and blue as incorrect answers, in order to make it possible to concentrate on the attentiveness of the test subject by taking black as a correct answer and red and blue having a higher visual recognition ability than black as incorrect answers at the same time, to ensure that the attentiveness of the test subject is properly stimulated. Here, the black, red, and blue are preferably displayed using circles of the same size, in order to improve the attention of the subject.
The average person can appropriately memorize the image even if there is such memory disturbance, but the dementia patient cannot appropriately memorize the image because of the memory disturbance, so that screening and judgment of the dementia patient are more accurately and easily performed.
Here, the attention test for memory disturbance is preferably composed of 10 to 30 questions, because appropriate memory disturbance cannot be performed when the number of questions for the attention test is less than 10, excessive memory disturbance is caused when the number of questions for the attention test is more than 30, and thus dementia judgment may be caused to occur in error.
As shown in fig. 15, when a question is output on the screen by the attention check execution section 533, the total number of questions output and the current state (i.e., the number of current outputs) are displayed on the screen so that the subject can visually confirm the current state.
The memory disturbing section 53 further includes: the attention test exercise section 534 exercises attention tests by performing 4 to 8 attention tests in advance before performing the attention tests. As shown in the examples of fig. 11 to 13, the attention checking exercise section 534 ensures more reliable and effective disturbance of the memory of the subject by improving the attention of the subject and extending the memory disturbance time.
The examination question generation unit 54 generates an examination question by randomly mixing a plurality of images including an image in which the presented image is a correct answer and images in which images other than the presented image are incorrect answers after the completion of the output of the data for memory disturbance.
The examination questions preferably generate examination questions 1.5 to 2.5 times the number of images displayed in the image display unit 52. For example, when the number of images presented is 10, 20 (2 times) examination questions may be generated, with 10 correct answer questions and 10 incorrect answer questions.
This is because it may be difficult to judge dementia due to low discrimination ability when the number of examination questions is less than 1.5 times the number of displayed images, and there is a risk of unnecessarily increasing the wrong answer rate due to the excessive number of examination questions when the number of examination questions is more than 2.5 times the number of displayed images.
The examination questions are preferably in the form of OX, wherein the correct answer is selected from "O" and the wrong answer is selected from "X", so that the examined subject can easily select the correct answer or the wrong answer.
The memory check execution unit 55 is configured to sequentially output the generated examination questions on the screen of the display 30 and execute a memory check by the selection operation unit 40, wherein the memory check is selected as a correct answer when the output is the same as the displayed image in the images of the examination questions, and is selected as a wrong answer when the output is different from the displayed image (see fig. 18).
That is, when the same image as that shown by the image showing section 52 is shown on the screen by the memory check executing section 55, the subject selects "O" to mark as a correct answer, and when the image shown by the image showing section 52 is not remembered correctly, a wrong answer is selected, and if this happens repeatedly, the wrong answer rate increases, thereby judging as a dementia patient.
As shown in fig. 18, when the examination questions are output on the screen by the memory examination execution section 55, the total number of the output examination questions and the current state (i.e., the number currently output) are displayed on the screen so that the subject can visually confirm the current state.
The memory check execution unit 55 further includes: a question number notification unit 551 that, when outputting the examination questions, outputs a question number notification notice for notifying the number of examination questions to be output on a screen; and a solution notification unit 552 that, after completing the notification of the number of items, outputs a solution notification notice for notifying the solution and notifying the time required for the inspection on the screen.
As shown in the example in fig. 16, the number of topics notification section 551 outputs a number of topics notification announcement of "20 pictures will now be shown" in text form on the screen so that the subject can appropriately recognize the number of examination topics to be shown.
The topic number notification announcement may selectively employ screen output and voice output by connecting a speaker to the controller 50, or may employ both screen output and voice output.
As shown in the example of fig. 17, the question solving means notification section 552 outputs "the seen picture is pressed O, the new picture is pressed X (check time 40 seconds) in text form on the screen. "problem solving means notification announcement so that the subject can appropriately recognize the problem solving means and the examination time of the examination subject.
The solving means notification announcement may selectively employ screen output and voice output by connecting a speaker to the controller 50, or may employ both screen output and voice output.
The time required for the examination displayed by the solving means notifying section 552 is preferably 30 seconds to 50 seconds, which is to inform the subject of the time required for the memory examination in advance so that the subject can be appropriately prepared for the examination.
The dementia judging section 56 is used to judge whether or not a dementia is present and/or to judge a dementia state based on the degree of wrong answer rate of the examination questions confirmed by the memory examination after the memory examination is completed. Here, the wrong answer rate refers to a ratio of selecting wrong answers among all examination questions.
The controller 50 further includes a result display section 57, a judgment standard adjustment section 58, and a subject qualification confirmation section 59.
The result display section 57 displays the diagnosis and examination results of the subject through the screen of the display 30 after the dementia judgment is completed through the dementia judgment section 56, as shown in fig. 19, serving as a means for guiding the subject to perform a more accurate dementia examination by displaying the final examination results on the screen so that the subject can appropriately recognize the current state of himself.
For example, 20 examination questions are evaluated and correct answers and wrong answers are appropriately distinguished, and the test results are informed in the following manner: when the number of correct answers is 10 or less, "worry about-! "when the number of correct answers is 11 to 16," worry-! "when the number of correct answers is 17 to 18," do well-! "when the number of correct answers is 18 to 20," perfect-! ".
The judgment criterion adjustment unit 58 adjusts the judgment criterion for judging whether or not a subject is suffering from dementia and/or for judging the state of dementia according to the year of birth, sex, and academic of the subject, and more accurately performs screening and judgment of a dementia patient by adjusting the dementia judgment criterion determined according to the wrong answer rate based on the year of birth, sex, and academic of the subject.
That is, the earlier the birth year (confirmed by the input birth year, month, and day) of the subject is, the higher the wrong answer rate is, the normal is judged; when the sex of the subject is female, the probability of suffering from dementia is higher than that of men of the same age, so that even if the wrong answer rate is relatively low, it is judged as a dementia patient; the lower the subject's history, the higher the probability of suffering from dementia, and thus even if the wrong answer rate is relatively low, it is judged as a dementia patient.
The adjustment of the judgment standard is determined according to the incidence of dementia patients classified by age, sex and academia in each country or region. For example, when the incidence of dementia patients is relatively high by age, sex and school, dementia patients are classified as dementia patients even if the wrong answer rate is low, and conversely, when the incidence of dementia patients is relatively low by age, sex and school, dementia patients are classified as dementia patients only when the wrong answer rate is quite high.
As shown in fig. 4, the subject qualification confirming unit 59 compares the set age criteria with the input date of birth, confirms whether or not the subject is a subject by age restriction, performs examination only when the subject is confirmed, designates only persons of a specific age or more as a subject, and excludes persons not requiring examination, so that diagnosis and examination can be performed more effectively. For example, when the age limit is set to 60 years, a person less than 60 years old is excluded from the subject compared with the input birth year of the subject, and thus dementia diagnosis and examination cannot be performed.
The dementia diagnosis system may be constituted by a mobile communication terminal (modularized and integrally provided with the text input 10, the data memory 20, the display 30, the selection manipulator 40 and the controller 50) such as a computer or an integrated dementia diagnosis device or a smart phone, and all functions may be made into a program or an application program and installed in the terminal for use.
Fig. 20 is a step diagram showing the dementia diagnosis method of the present invention.
As shown in fig. 20, the image-based dementia diagnosis method according to the present invention includes the steps of: an information input step S1 of inputting personal information of a subject to be inspected onto a screen; an image preparation step S2 of preparing an image for memory check; an image display step S3, extracting a part of the prepared image and displaying the part to the detected object through a screen; a memory interference step S4 of interfering the memory of the detected object to the image; an examination question generation step S5 of generating an examination question for memory examination; a memory check execution step S6 of executing a memory check by outputting the check title to the subject; a dementia judging step S7 of judging whether or not dementia is caused based on the wrong answer rate confirmed by the memory check; and a result display step S8 of displaying the inspection result of the subject judged to be dementia on the screen. And dementia is diagnosed by sequentially performing these steps.
The image-based dementia diagnosis method may further include: and a result display step S8 of displaying the diagnosis and examination result of the subject on the screen after the dementia judging step S7, that is, after the dementia judgment is completed.
In the information input step S1, the personal information includes the name, the date of birth, sex, the academic calendar, and the contact information of the subject, and the academic calendar may be set so as to be selectable by years from the last school to the doctor.
The dementia determination step S7 may further include: and a judgment standard adjustment process for adjusting the judgment standard for judging whether the subject suffers from dementia and/or for judging the dementia state according to the birth year, sex and academic of the subject.
The information input step S1 may further include: and a qualification checking process of comparing the set age criterion with the input birth date and time, and checking whether the subject is checked by age restriction, and performing checking only when the subject is checked.
In the image presentation step S3, each of the images is displayed on the screen for 1 to 3 seconds.
The image displaying step S3 may further include: an inspection start notification process of outputting an inspection start notification for notifying the start of inspection in text and/or voice form before displaying the image; and requesting to memorize a notification process, after completion of the inspection start notification process, outputting a request to memorize a notification announcement for notifying the number of images to be displayed and requesting to memorize the displayed images in a text and/or voice form.
In the examination question generation step S5, the number of examination questions is 1.5 to 2.5 times the number of images displayed in the image display step S3.
In the examination question generation step S5, the examination question may be a question in the form of OX of the correct answer selection "O", and the wrong answer selection "X".
The memory check performing step S6 may further include: a question number notification process of outputting a question number notification notice for notifying the number of examination questions to be output in text and/or voice form at the present time of outputting the examination questions; and a problem solving mode notification process, after the problem number notification process is completed, outputting a problem solving mode notification notice for notifying the problem solving mode and notifying the time required by the inspection in a text and/or voice mode.
In the solving means notification process, the time required for the check may be notified as 30 seconds to 50 seconds.
The memory disturbing step S4 may include: an attention check notification process of outputting an attention check notification notice for notifying the start of an attention check to a subject in text and/or voice form after completion of presentation of the extracted image; an inspection mode notification process for outputting an inspection mode notification notice for notifying the time required for inspection while notifying the attention inspection mode in text and/or voice form after the completion of the attention inspection notification process; and an attention check execution process of executing an attention check process after the check mode notification process is completed.
In the memory disturbance step S4, the attention check may be a color discrimination check which sequentially reveals a plurality of colors, and selects a specific color therein as a correct answer.
The attention check may be a check consisting of 10 to 30 questions, with black as a correct answer and red and blue as incorrect answers, which may be displayed as circles of the same size.
The memory disturbing step S4 may further include: attention test exercise process, the attention test is exercised by performing 4 to 8 attention tests in advance before the attention test execution process is performed.
The dementia diagnosis system constructed in this way is a breakthrough invention that displays images to a subject and performs memory inspection of the images in a state where the displayed images cannot be well memorized by memory disturbance, so that dementia can be rapidly and accurately screened.
Embodiments according to the present invention may be implemented in the form of a computer program executable by various components on a computer, and such a computer program may be recorded on a computer-readable medium. At this time, the medium may include magnetic media such as hard disks, floppy disks, and magnetic disks, optical recording media such as CD-ROMs, and DVDs, magneto-optical media (magneto-optical media) such as floppy disks (floppy disks), and hardware devices such as ROMs, RAMs, flash memories, etc., which store and execute program instructions.
On the other hand, the computer program may be specially designed and configured for the present invention, or may be known and available to those skilled in the computer software arts. As an example of a computer program, not only machine language code created by a compiler but also high-level language code that can be executed by a computer using an interpreter or the like may be included.
According to an embodiment, a method according to various embodiments of the present disclosure may be included in and provided by a computer program product (computer program product). The computer program product may be traded as a commodity between a seller and a buyer. The computer program product may be distributed in the form of a device readable storage medium (e.g., compact disc read only memory (CD-ROM)) or may be distributed (e.g., downloaded or uploaded) directly or online through an application Store (e.g., a Play Store TM) or between two user devices. For online distribution, at least a portion of the computer program product may be at least temporarily stored or created in a device-readable storage medium (e.g., memory, etc.) of a manufacturer server, an application store's server, or an intermediary server.
Unless explicitly stated or stated to the contrary with respect to the steps constituting the method according to the present invention, the steps may be performed in an appropriate order. The present invention is not necessarily limited to the order of description of the steps. All example or exemplary terms (e.g., etc.) used in the present invention are used only for detailed description of the invention, and the scope of the invention is not limited to the example or exemplary terms unless limited by the scope of the claims. In addition, it will be understood by those skilled in the art that various modifications, combinations, and variations can be made in accordance with design conditions and factors within the scope of the appended claims or equivalents thereof.
On the other hand, in the detailed description of the present invention, the specific embodiments have been described, but it will be apparent to those skilled in the art that various modifications can be made without departing from the scope of the invention.

Claims (14)

1. An image-based dementia diagnosis system, comprising:
a character input unit (10) for allowing a subject to input characters by operation;
a data memory (20) which stores image data composed of different images drawn in such a manner that a word in a noun form is expressed as an image, and stores data for disturbing memory, and is capable of storing dementia information of each subject;
A display (30) for displaying the diagnosis data and the inspection data on a screen so that the subject can be visually confirmed;
a selection operator (40) that allows a subject to be able to select, by operation, selection items of image data and materials displayed on a screen through the display (30); and
a controller (50) connected to the text input unit (10), the data storage (20), the display (30) and the selection manipulator (40) and controlling the text input unit (10), the data storage (20), the display (30) and the selection manipulator (40),
the controller (50) includes:
an information input unit (51) for allowing a subject to input personal information of the subject via the character input unit (10);
an image display unit (52) that extracts 5 to 15 images from the images of the image data, sequentially outputs the extracted images through the screen of the display (30), and displays the extracted images to a subject;
a memory disturbing section (53) for outputting data for disturbing the memory through a screen of the display (30) to disturb the memory of the subject;
an examination question generation unit (54) that generates an examination question by randomly mixing a plurality of images including an image in which the displayed image is a correct answer and images other than the displayed image are incorrect answers after outputting the data for disturbing the memory;
A memory check execution unit (55) that sequentially outputs the generated check questions via a screen of the display (30) and that executes a memory check in which a correct answer is selected when the image outputted as the check question is identical to the presented image and a wrong answer is selected when the image outputted as the check question is different from the presented image, via the selection operation unit (40); and
and a dementia judging unit (56) for judging whether the patient has dementia and/or judging the dementia state according to the degree of wrong answer rate of the examination questions confirmed by the memory examination after the memory examination is completed.
2. The image-based dementia diagnosis system according to claim 1, wherein,
the controller (50) further includes:
and a result display unit (57) for displaying the diagnosis and examination result of the subject on the screen of the display (30) after the dementia determination unit (56) completes the dementia determination.
3. The image-based dementia diagnosis system according to claim 1, wherein,
the personal information of the information input part (51) comprises the name, the birth date, the sex, the academic calendar and the contact information of the detected object,
The academy can be selected by year from the last school to the doctor.
4. The image-based dementia diagnosis system according to claim 3, wherein,
the controller (50) further includes:
and a judgment criterion adjustment unit (58) for adjusting a judgment criterion for judging whether or not a subject is suffering from dementia and/or for judging the state of dementia, based on the birth year, sex, and academic history of the subject.
5. The image-based dementia diagnosis system according to claim 3, wherein,
the controller (50) further includes:
a subject qualification confirming unit (59) compares the set age criterion with the input date and time of birth, confirms whether the subject is a subject by age restriction, and performs a check only when the subject is confirmed.
6. The image-based dementia diagnosis system according to claim 1, wherein,
the image display unit (52) further includes:
an inspection start notification unit (521) that outputs an inspection start notification notice for notifying the start of inspection on a screen before the image is displayed; and
and a request-to-remember notification unit (522) that, after completing the notification of the start of the inspection, outputs a request-to-remember notification notice for requesting to remember the displayed image while notifying the number of images to be displayed on the screen.
7. The image-based dementia diagnosis system according to claim 1, wherein,
the examination question generation unit (54) generates examination questions 1.5 to 2.5 times the number of images displayed in the image display unit (52).
8. The image-based dementia diagnosis system according to claim 1, wherein,
the memory check execution unit (55) further comprises:
a question number notification unit 551 that outputs a question number notification notice for notifying the number of examination questions to be output on a screen when the examination questions are output; and
and a problem solving means notification unit (552) which, after completing the notification of the number of items, outputs a problem solving means notification notice for notifying the time required for the inspection while notifying the problem solving means on the screen.
9. The image-based dementia diagnosis system according to claim 1, wherein,
the memory disturbing section (53) further comprises:
an attention test notification unit (531) that outputs an attention test notification notice for notifying the start of the attention test of the subject on the screen after the presentation of the extracted image is completed;
an inspection mode notification unit (532) that, after completing the notification of the attention inspection, outputs an inspection mode notification notice for notifying the attention inspection mode and notifying the time required for the inspection on a screen; and
An attention test execution unit (533) executes an attention test after completing the notification of the test method.
10. The image-based dementia diagnosis system according to claim 9, wherein,
the attention check is a color discrimination check,
the color discrimination check reveals a plurality of colors in turn and selects a specific color therefrom as a correct answer.
11. The image-based dementia diagnosis system according to claim 10, wherein,
the attention check consists of 10 to 30 questions, and black as a correct answer, red and blue as incorrect answers,
the black, red and blue colors are shown as circles of the same size.
12. The image-based dementia diagnosis system according to claim 11, wherein,
the memory disturbing section (53) further comprises:
an attention test training unit (534) performs training for performing an attention test by performing 4 to 8 attention tests in advance before performing the attention test.
13. A method for diagnosing dementia based on images, comprising:
an information input step (S1) of inputting personal information of a subject to a personal information input box displayed on a screen;
An image preparation step (S2) of preparing a plurality of different images drawn in such a manner that a word in the form of a noun is expressed as an image;
an image display step (S3) of extracting 5 to 15 images from the prepared images, sequentially displaying the extracted images on a screen and displaying the images to a subject so that the subject remembers;
a memory disturbing step (S4) of outputting data capable of concentrating the attention of the subject on the screen after the image is displayed, so as to disturb the memory of the subject;
a check question generation step (S5) of generating a check question by randomly mixing a plurality of images including an image in which the displayed image is used as a correct answer and images other than the displayed image are used as incorrect answers after outputting the data for disturbing the memory;
a memory check execution step (S6) of sequentially outputting the generated check questions, and executing a memory check in which a correct answer is selected when the image outputted as the check question is identical to the displayed image, and a wrong answer is selected when the image outputted as the check question is different from the displayed image; and
And a dementia judging step (S7) of judging whether the patient suffers from dementia and/or judging the dementia state according to the degree of wrong answer rate of the examination questions confirmed by the memory examination after the memory examination is completed.
14. A computer-readable recording medium, in which a program for executing the method of claim 13 on a computer is recorded.
CN202280053362.XA 2021-08-09 2022-08-09 Image-based dementia diagnosis system and method Pending CN117769384A (en)

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