KR102073204B1 - Method and apparatus for computing dwelling depression index of the elderly based on ego-projected images - Google Patents

Abstract

The present invention relates to a method and apparatus for calculating a residential depression index of an elderly person, the method comprising: generating a plurality of self-projection images and a questionnaire for diagnosing residential depression inquiring depression corresponding to each of the self-projection images; Providing the depression diagnosis questionnaire to a user terminal, and receiving a user response transmitted by the user terminal in response to the depression questionnaire; Calculating a sum of user answers by converting and then depressing depression corresponding to each of the self-projection images included in the user answer in a score method; And calculating and notifying the elderly residential depression index according to the formula "sum of user answers-(age-65) * age weight".

Description

Methods and apparatus for computing dwelling depression index of the elderly based on ego-projected images}

The present invention relates to a method and apparatus for calculating the residential depression index of the elderly, and in particular, a method of calculating the residential depression index of the elderly based on the self-projection image to calculate the depression index according to the living environment of the elderly using the self-projection image and Relates to a device.

The domestic research on the living culture of the elderly mainly focuses on the development of housing environment that can compensate for the physiological and physical changes of the old age, and statistically analyzes the physical condition and behavior patterns such as the disability and age of the residents and links them with the healthcare system. It has been concentrated on researching ubiquitous smart home care system, and there is insufficient discussion on improvement of customized living environment based on emotional satisfaction of individuals.

The study on the relationship between the living environment and the suicide rate of the elderly (Huh Jung-jeong, Choi Mak-jung, 2013) raises the necessity of recognizing that the elderly person's self is not only a personal factor but also a social problem where environmental factors work together. As it is the result of poor statistical analysis, it emphasizes the necessity of comparing the mutual influence by analyzing the personal characteristics and environmental characteristics that affect the suicide of the elderly.

Existing studies on single-family households are reviewing single-family households as part of various household types, so the specific aspects of life are not revealed well, so quantitative data analysis and qualitative data are needed to grasp the specific daily lives of the elderly living in single-family households. Research has raised the need for an in-depth understanding of life.

Research on negative emotions, such as depression of the elderly, has been developed in the form of a combination of economic and social environmental factors in recent years, focusing on changing physiological and physical factors in old age.

Ko Jae-wook et al.'S (2011) study on the factors affecting suicide tendency of elderly living alone shows that it is necessary to understand the concept of suicide as a complex and dynamic process rather than a simple event. It identifies the needs of each area and raises the need to build a personalized case management service.

However, domestic patents for elderly single households are about emergency situation identification and support, smart home system, remote monitoring and medical treatment system using various detection methods. Has not been proposed.

In Korea Patent Registration No. 10-0799665 and the like registered a patent on the welfare service providing system based on the needs of the elderly, and some companies have registered a monitoring system patent, but considering the residential environment of the elderly proposed in the present invention The technology for performing the emotion measurement operation is not considered at all.

1. Korean Patent Publication No. 10-2010-0005494 (published date: 2010.01.15.) 2. Domestic Patent No. 10-0799665 (Registration Date: 2008.01.24.)

1. The Influence of Residential Environment Characteristics on Elderly Suicide Rate (Author: Ji-Ho Hur, Mak-Jeong Choi, Housing Research, 2013, 21, 4, pp.49-62 ISSN 1226-2676)

In order to solve the above problems, the present invention is to provide a method and apparatus for calculating the residential depression index of the elderly to objectively determine the depressed state according to the elderly living environment.

In addition, the questionnaire is carried out based on the self-projection image, to provide a method and apparatus for calculating the residential depression index of the elderly to determine the residential depression status for elderly respondents whose reading comprehension and concentration is degraded due to aging.

The object of the present invention is not limited to the above-mentioned object, and other objects that are not mentioned will be clearly understood by those skilled in the art from the following description.

"의 식에 따라 주거 우울 지수를 산출 및 통보하는 단계를 포함하는 고령자의 주거 우울 지수 산출 방법을 제공한다. As a means for solving the above problems, according to an embodiment of the present invention, generating a plurality of self-projection image and the questionnaire for diagnosing residential depression to query the depression corresponding to each of the self-projection image; Providing the depression diagnosis questionnaire to a user terminal, and receiving a user response transmitted by the user terminal in response to the depression questionnaire; Calculating a total of user answers by converting and adding depressions corresponding to each of the self-projection images included in the user answers in a score method; And "

It provides a method of calculating the residential depression index of the elderly, including the step of calculating and notifying the housing depression index according to the formula.

The plurality of self-projection images include a first self-projection image of a person leaning on a window and a back of a person looking outwards, a second self-projection image of a elderly person leaning on a cane looking at a window half-curved by a cane, and a living room sofa. A elderly person sitting with his back leaning away from a third self-projection image, a fourth self-projection image of a person sitting sideways in a single chair, a fifth self-projection image of an elderly person leaving the front door of a house, a two-story house from a distance The sixth self-projection image depicting the back of an old man watching, the seventh self-projection image of the back of an old couple sitting on a bench on the first floor, and the glasses sitting on a single sofa in front of the window. 8th self-projection image depicting the front of the elderly, 9th character depicting the front of the elderly standing in front of the mansion It characterized in that it comprises a tenth self projected image profile has been drawn of a person looking at the projected image, and the curtain apart a predetermined distance to half screened window.

Generating the depression diagnosis questionnaire is characterized in that for adjusting the gender of the person included in the self-projection image according to the gender of the questionnaire subject.

The generating of the depression diagnosis questionnaire may include generating the residential depression diagnosis questionnaire by allocating question items that query the depression of a questionnaire in a 5-point scale format to each of the first to fifth self-projection images. do.

And the age weight is 0.32.

The method may further include converting and guiding the residential depression index into a residential depression level with reference to a preset residential depression rating classification criterion.

"의 식에 따라 주거 우울 지수를 산출하는 사용자 답변 분석부를 포함하는 고령자의 주거 우울 지수 산출 장치를 제공한다. As a means for solving the above problems, according to another embodiment of the present invention, a questionnaire providing unit for a residential depression diagnosis questionnaire for querying a plurality of ego projection image and the depression corresponding to each of the ego projection image; A user response receiver configured to receive a user response to the residential depression diagnosis questionnaire from the user terminal; And calculating the sum of user answers by converting the depressive feelings corresponding to each of the self-projection images included in the user answers into a score method and adding the sums.

It provides a device for calculating the residential depression index of the elderly, including a user response analysis unit for calculating the housing depression index according to the formula.

The present invention collects and analyzes the result of the questionnaire after the questionnaire for diagnosing elderly residential depression, thereby enabling to objectively determine the depressive state according to the living environment of the elderly.

In addition, by conducting a survey based on the self-projection image, it is also possible to determine the elderly housing depression status for the elderly respondents whose reading comprehension and concentration is degraded due to aging.

1 is a diagram illustrating a device for calculating a residential depression index of the elderly according to an embodiment of the present invention.
2 is a view showing a residential depression diagnosis questionnaire according to an embodiment of the present invention.
3 is a flowchart illustrating a method for calculating a residential depression index of the elderly according to an embodiment of the present invention.
4 is a view for explaining the accuracy of the elderly depression index calculation method according to an embodiment of the present invention.

The objects and effects of the present invention and the technical configurations for achieving them will be apparent with reference to the embodiments described below in detail with the accompanying drawings. In describing the present invention, when it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted.

Terms to be described later are terms defined in consideration of functions in the present invention, and may be changed according to intentions or customs of users or operators.

However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various forms. The present embodiments are merely provided to complete the disclosure of the present invention and to fully inform the scope of the invention to those skilled in the art, and the present invention is defined by the scope of the claims. It will be. Therefore, the definition should be made based on the contents throughout the specification.

1 is a diagram illustrating a device for calculating a residential depression index of the elderly according to an embodiment of the present invention.

Referring to FIG. 1, the apparatus for calculating a residential depression index of the elderly according to the present invention includes a plurality of self-projection images and a residential depression diagnosis questionnaire for querying depression corresponding to each of the self-projection images to the user terminal 20. Depression score corresponding to each of the self-projection image included in the questionnaire providing unit 11, the user response receiving unit 12 for receiving a user response to the residential depression diagnosis questionnaire from the user terminal 10, and the user response The user answer analysis unit 13 and the user terminal 20 to calculate the sum total of the user answers, and calculate the residential depression index according to the formula "sum of user answers-(age-65) * age weight". It may include a communication unit 14 for supporting communication with an external terminal, such as.

In addition, the user terminal 20 previously installs and executes an application that supports interworking with the residential depression index calculation device 10 of the elderly, and guides the questionnaire provided by the residential depression index calculation device 10 of the elderly through this. And, to obtain a user response corresponding to this can be provided to the home depression index calculation device 10 of the elderly again. Of course, if necessary, instead of directly downloading and installing an application for a survey as described above, a survey operation for calculating a residential depression index may be performed by borrowing an app function provided by a portal site such as a Google questionnaire. .

For reference, in the case of the elderly, reading and intensive concentrations are degraded due to aging, so the question using the self-projection image rather than the sentence questionnaire questions can feel comfort and friendliness.

Therefore, the present invention allows the questionnaire to be carried out by showing the self-projection image to the questionnaire and asking the feeling of the image rather than the direct question about depression and residential environment. In particular, self-projection images having a high correlation with elderly housing depression are proposed as shown in FIG. 2, and thus, simpler and more accurate housing depression index calculation can be performed.

2 is a view showing a residential depression diagnosis questionnaire according to an embodiment of the present invention.

Referring to FIG. 2, the questionnaire questions (① to ⑤) of ten depression self-projection images and five depression multiple choice questions corresponding to each of the self-projection images (I1 to I10) and the residential depression diagnosis questionnaire of the present invention. It can be seen that it can be configured as.

In more detail, the first self-projection image I1 is an image in which the back of the person leaning against the window and looking outward is drawn.

The second self-projection image (I2) is an image depicting an elderly person leaning on a cane looking at a curtained window.

The third self-projection image I3 is an image of an elderly person sitting on the back of the living room sofa.

The fourth self-projection image I4 is an image of a person sitting sideways in a single chair.

The fifth self-projection image I5 is an image of the back of the elderly person leaving the house front door.

The sixth self-projection image (I6) is an image of a back view of an old man looking at a two-story house from a distance.

The seventh self-projection image I7 is an image of the back of an old couple sitting on a bench and looking at a far away home.

The eighth self-projection image (I8) is an image of the front view of an elderly person wearing glasses and reading a book sitting on a single-seat sofa in front of the window.

The ninth self-projection image I9 is an image in which the front view of the elderly person standing in front of the mansion is drawn.

The tenth self-projection image I10 is an image in which the side of a person looking at a window half-curved from a predetermined distance is drawn.

In the above description, only a plurality of self-projection images have been described, but the type of self-projection images may be variously adjusted within a range that maintains a correlation with the residential depression index.

In addition, the self-projection image of the present invention can be produced for both sexes, but if necessary, it can be produced separately for men and women. That is, the male self-projection image expresses a person included in the self-projection image as a male, and the female self-projection image expresses a person included in the self-projection image as a female, so that the questionnaire is more easily included in the self-projection image. It identifies people and makes it easier to project their mental state onto self-projected images.

3 is a flowchart illustrating a method of calculating a residential depression index according to an embodiment of the present invention.

First, the questionnaire providing unit 11 generates and stores a plurality of self-projection images and a residential depression diagnosis questionnaire that queries five depression multiple choices corresponding to each of the self-projection images (S1). In this case, the residential depression diagnosis questionnaire may be generated by dividing the gender unisex, men's, women's use as described above.

In this state, when the user terminal 20 accesses, after inquiring the gender of the questionnaire subject through the user terminal 20, to provide a residential depression diagnosis questionnaire suitable for the gender (S3).

In addition, when the survey is completed and the user terminal 20 transmits a user response to the residential depression diagnosis questionnaire, the user terminal 20 receives the response (S4), and the depression corresponding to each of the self-projection images included in the user response is measured in a 5-point scale. Summing up to calculate the total of the user answers (S5).

For example, as shown in Table 1 below, in the case of querying the depression corresponding to each of the self-projection images in four-choice multiple choice, if the user selects No. 1, 1 point is selected, and if the No. 2 is selected, 2 points are selected. If 3 points and 4 are selected, 4 points and 5 are selected, 5 points are calculated as individual scores of the corresponding self-projection image, and these scores are summed over all of the self-projection images to calculate the total user response.

I1.
(1) very unhappy (2) slightly unhappy (3) normal (4) slightly happy (5) very happy

When the total user answers are calculated through step S6, after calculating the residential depression index based on the total user answers according to Equation 1 below, the user terminal 20 is notified or the operator of the elderly household depression index calculation device is calculated. That is, to guide the surveyor visually (S6).

In this case, the age weight is a weight for offsetting an increase in general depression due to age. As a result of the survey data, elderly people over 65 years old are determined by considering that the residential depression index tends to increase by 0.32 points as the age increases by 1 year, and may be predefined as 0.32.

In addition, instead of guiding the residential depression index itself, the present invention converts the residential depression index into a residential depression level, and then visually guides it to a user, a device operator, or a surveyor.

To this end, the user response analysis unit 13 of the present invention acquires and stores information on the housing depression rating classification criteria in advance, and converts the housing depression index into the housing depression rating based on this.

For example, the residential depression level can be classified into three grades of altitude, medium, and mildness, and if the elderly residential depression index is 12.87, it is high; if the elderly residential depression index is 12.47, the middle and elderly residential depression index is In the case of 12.0 points, it should be classified as longitude.

In addition, by automatically providing residential depression rating results and user information to neighboring medical institutions, welfare institutions, and government agencies, neighboring medical institutions, welfare institutions, and government agencies can take appropriate follow-up actions corresponding to user status. For example, if a user is identified as having a high residential depression level, a government agency may allow volunteers who can perform improvements to the residential environment to visit the user's home, or the welfare agency may Allow procedures to be performed automatically, such as staying in welfare agencies for a while.

4 is a view for explaining the accuracy of the elderly depression index calculation method according to an embodiment of the present invention.

Finally, we will look at how accurately the housing depression index of the present invention can predict the high, medium, and mild residential depression type group through ROC (Receiver operating characteristic) curve analysis. When ROC Curve analysis is applied to the substitution and validation of diagnostic scales, sensitivity (such as the probability of diagnosing people who have been diagnosed as residential depression) and specificity (such as those who are not residentially depressed) are not residential depression. By analyzing the probability of diagnosis, how much a single linear value can predict the diagnosis.

For this purpose, subjects defined as residential depression were diagnosed as 'diagnostic' values and the rest as 'non-diagnostic' values, and the sensitivity for diagnostic prediction and specificity for nondiagnostic prediction were examined, respectively. Higher sensitivity and specificity indicate that the index can be used to diagnose residential depression.

The ROC Curve is a curve drawn based on the sensitivity and specificity of the scale. The more wide the curve appears to the northwest, the higher the sensitivity and specificity. The area is called the AUC (area under the ROC curve). In general, when the AUC value exceeds 0.5 (ROC curve is located above the reference line), it is considered to be reliable, and in the case of actual mental disorder studies, it tends to be a useful alternative measure when it is 0.7 or 0.8 or higher depending on the field. Standardization Study of Screening Questionnaire for Disability Diagnosis: Diagnostic Validity, Author: Hyung-Geun Choi, Sung-Won Cho, Hyun-Joo Cho, Jung-Bum Kim, Chul-Ho Chung, Journal Information: Journal of Korean Anxiety Journal 2013, Volume 9, No. 1).

 First, in the case of the high-dwelling depression type, 15 out of 301 diagnosed and 286 non-diagnostics were calculated. As a result of ROC Curve analysis of the residential depression index, the AUC value is calculated as shown in FIG. Referring to FIG. 4A, the AUC value of the residential depression index was 0.937, which was very high. In addition, the optimal cutoff point for home depression index was 25.34, which corresponds to sensitivity of 0.933 and specificity of 0.881.

Next, in the case of the moderate residential depression type, 40 diagnosed and 261 non-diagnostic patients out of the 301, and the ROC Curve analysis results of the I and K-based residential depression index, respectively, are calculated as shown in FIG. . Referring to (b) of FIG. 4, the AUC value of the residential depression index is very high as 0.952, and the optimal cutoff point for the housing depression index to diagnose moderate residential depression type is 24.1, which corresponds to sensitivity of 0.975 and specificity of 0.889. Able to know.

Lastly, in the case of mild residential depression type, 56 diagnosed and 245 non-diagnosed patients out of 301, the AUC value of the ROC curve analysis of the residential depression index is calculated as shown in FIG. Referring to (c) of FIG. 4, the AUC value of the residential depression index is 0.972, and the optimal cutoff point for the residential depression index to diagnose mild residential depression type is 23.18, corresponding to sensitivity 0.946 and specificity 0.897.

As a result of this analysis, it can be seen that the residential depression index of the present invention can be sufficiently an alternative measure for diagnosing each type of housing depression. In the case of high-dwelling depression type, the replacement rate was relatively low because of the small number of subjects, which is an exception value. On the other hand, for the total housing depression type, including mild residential depression type, the final AUC value was 0.972 for the housing depression index.

The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art may make various modifications and changes without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

Claims (7)

In house depression index calculation device of elderly person,
Generating a plurality of self-projection images and a questionnaire for diagnosing residential depression inquiring depression corresponding to each of the self-projection images by the apparatus for calculating a residential depression index of the elderly;
Receiving, by the home depression index calculating device of the elderly, the user terminal transmitted in response to the depression diagnosis questionnaire to the user terminal;
Calculating, by the home-depression index calculating device of the elderly, the depression corresponding to each of the self-projection images included in the user answer in a score method and calculating a sum of user answers; And
The housing depression index calculation device of the elderly person
"

A method of calculating the residential depression index of the elderly, comprising calculating and reporting the housing depression index according to the formula ". The method of claim 1, wherein the plurality of ego projection images
The first self-projection image of the person leaning back against the window, the second self-projection image of the old man leaning against the cane, looking at the window half-draped by the cane, and the elderly person sitting on the back of the living room sofa 3 self-projection image, 4th self-projection image of a person sitting side by side in a single-seat chair, 5th self-projection image of the back of an elderly person leaving the front door of the house, and a back view of an elderly person looking at a two-story house from a distance The sixth self-projection image depicted, the seventh self-projection image of an elderly couple sitting on a bench looking at the first floor house, the eighth image of an elderly person wearing glasses and reading a book sitting on a single sofa in front of the window A self-projection image, a ninth self-projection image depicting the face of an elderly person standing in front of the mansion, and a curtain halfway How to calculate true residential elderly depressed index comprising the 10 second self-projected image is drawn profile of a person looking at the distance prescribed windows. The method of claim 2, wherein the generating of the depression questionnaire is
The method of calculating the residential depression index of the elderly, characterized in that for adjusting the gender of the person included in the self-projection image according to the gender of the survey subject. The method of claim 3, wherein the generating of the depression questionnaire is
The residential depression index calculation method of the elderly, characterized in that for generating a questionnaire for diagnosing residential depression by assigning a question item for querying the depression of the questionnaire in the form of a 5-point scale to each of the first to fifth ego projection images. The method of claim 3, wherein the age weight is
Residential depression index calculation method of the elderly, characterized in that 0.32. The method of claim 1,
The method of claim 1, further comprising converting and guiding the residential depression index into a housing depression rating with reference to a predetermined housing depression rating classification criterion. A questionnaire providing unit for a residential depression diagnosis questionnaire for querying a plurality of self-projection images and depression corresponding to each of the self-projection images;
A user response receiver configured to receive a user response to the residential depression diagnosis questionnaire from the user terminal; And
Calculating the total user answers by converting the depression feelings corresponding to each of the self-projection images included in the user answers into a score method and adding the sums;

Device for calculating the residential depression index of the elderly, including a user response analysis unit for calculating the housing depression index according to the expression.

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