KR101626834B1 - System and method for depression monitoring based on user information - Google Patents

System and method for depression monitoring based on user information Download PDF

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KR101626834B1
KR101626834B1 KR1020140024776A KR20140024776A KR101626834B1 KR 101626834 B1 KR101626834 B1 KR 101626834B1 KR 1020140024776 A KR1020140024776 A KR 1020140024776A KR 20140024776 A KR20140024776 A KR 20140024776A KR 101626834 B1 KR101626834 B1 KR 101626834B1
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information
user
depression
predetermined
activity
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KR1020140024776A
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Korean (ko)
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KR20150102880A (en
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구정훈
이종하
박희준
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계명대학교 산학협력단
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Abstract

The present invention relates to a depressed mood monitoring system and method, and more particularly, to a system and method for depressed mood, which includes a user information collection module for collecting activity information or biometric information of a user in real time; And a user information analysis module for analyzing information collected by the user information collection module in real time to quantify the degree of depression.
According to the user information-based depression monitoring system and method proposed in the present invention, the user information collection module and the user information collection module, which collect real-time activity information or biometric information of a user, By including a user information analysis module that digitizes, it is possible to monitor depression in real time within the user's daily activities.
In addition, according to the present invention, it is possible that the user can search for or input words or phrases at the time of Internet activity using at least one selected from the group including the portal site search service, the e-mail service and the social network service, By comparing at least one piece of information selected from the group including the amount of activity of the user with the standard information previously inputted or averaged or analyzing presence or absence of the depression symptom previously input from the information, Monitoring is possible.
In addition, according to the present invention, depression can be easily monitored at home without a separate device by using a smart device.

Description

[0001] SYSTEM AND METHOD FOR MONITORING BASED ON USER INFORMATION [0002]
The present invention relates to a system and method for monitoring depression, and more particularly, to a system and method for monitoring depression of users based on activity information or biometric information.
Depression is a disease that causes depression and depression as main symptoms and causes various cognitive and psychosomatic symptoms, resulting in deterioration of daily function. Depression has a lifetime prevalence of 15%, especially 25% of women, and is a serious disease that causes changes in feelings, thoughts, physical condition and behavior. Depression can be greatly improved with the help of specialists or the attention of surrounding people, especially early detection is very important. However, many of the depressed patients are not aware of the onset of depression, or are suffering from long-term problems due to the lack of help from the surrounding people or experts, and in severe cases, they lead to extreme choices such as suicide. In addition, depression is more likely to cause the onset of depression than a one-time event that does not relieve long-term depression. Therefore, if depression continues, it is necessary to get help from an acquaintance or an expert immediately.
Depression can be diagnosed by relying on specialist counseling or Beck Depression Inventory (BDI), Edinburgh Postnatal Depression Scale (EPDS), Postpartum Depression Screening Scale (PDSS) do. However, these questionnaires are difficult to distinguish between temporary discomfort and clinically significant diseases, and those who feel depressed should actively participate in surveys or counseling, so it is difficult to apply them to people who are in the early stages of depression or severe depression. there is a problem. Recently, studies have been continuing to find objective indicators of depression, for example, the role of the Dexamethasone inhibition test in the diagnosis of depression (see Journal 36.1 ('83 .3) pp.225-231 1225-2557), stroke And the method of applying the Dexamethasone Suppression Test to the diagnosis of depression afterwards (refer to KCI Journal of the Rehabilitation Medicine 18, 3 ('94 .9) pp.576-583 1225-584X). However, such a method requires the patient to go to the hospital for a diagnosis, and in the social atmosphere where he is reluctant to seek psychiatry, the early detection of the onset of depression is still difficult.
On the other hand, research on ubiquitous healthcare has been actively carried out in accordance with the development of communication technology in the present. Ubiquitous healthcare refers to a service that provides healthcare in real time using information and communication devices. It can easily acquire health status of users in real time, and acquired information can be shared with experts through data communication. A method for a user to input his / her state information, actively collecting a bio-signal, and transmitting the bio-signal to an expert to grasp the health state of the user (see Patent Application No. 10-2012-0053689). However, such a conventional method requires the user to be aggressive because the user must directly input or measure the status information or the biometric information. In the case of depression, since the user loses the motivation of the overall activity, development of a method capable of actively acquiring and analyzing the state without requiring the user's aggressiveness is required.
The present invention has been proposed in order to solve the above-mentioned problems of the existing methods, and it is an object of the present invention to provide a user information collection module for collecting user's activity information or biometric information in real time, And a user information analyzing module for analyzing the degree of depression of the user, so that the depression can be automatically monitored in the daily activities of the user.
In addition, the present invention can be applied to a mobile communication system in which a user searches for or inputs a word or phrase entered during an Internet activity using at least one selected from a group including a portal site search service, an e-mail service and a social network service, And comparing the at least one information selected from the group including the amount of activity of the user with the standard information previously inputted or averaged or analyzing the presence or absence of the depressed symptom inputted in advance from the information, Another object of the present invention is to provide a depression monitoring system and method based on user information.
It is another object of the present invention to provide a user information based depression monitoring system and method which can easily perform depression monitoring at home without using a separate device by using a smart device.
According to an aspect of the present invention, there is provided a user information based depression monitoring system,
A user information collection module for collecting user activity information or biometric information in real time; And
And a user information analysis module for analyzing information collected by the user information collection module in real time to quantify the degree of depression.
Preferably, the activity information includes:
The user's location and the amount of activity of the user at the time of Internet activity using the at least one selected from the group including the portal site search service, the email service, and the social network service, May be at least one or more information selected from the group.
Preferably, the biometric information includes:
At least one information selected from the group including brain waves and heart rate.
Preferably, the user information analysis module includes:
Among the collected information, it is possible to quantify the degree of depression by extracting a singular point indicating a difference from the standard information previously input or averaged, or by analyzing the presence or absence of a preset depressed symptom.
Preferably, the user information analysis module includes:
Wherein the information collected by the user information collection module includes information on a case where the word or phrase entered by the user belongs to a predetermined word group and the user's location belongs to a predetermined location, , And a case in which the bio-signal corresponds to a predetermined value, it is analyzed that depression is present in any one of the cases,
The degree of depression can be quantified by reflecting the number of times belonging to the predetermined word group or position, the amount of activity, and the bio-signal value.
More preferably,
The input module may further include an input module for inputting the predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value.
Preferably,
And a storage module for storing information collected by the user information collection module or information analyzed by the user information analysis module.
Preferably,
And a communication module for transmitting the information to a predetermined destination when the degree of depression analyzed by the user information analysis module is in a predetermined range or more.
More preferably, the destination further comprises:
A home terminal, a police terminal, a hospital terminal, a fire station terminal, an emergency medical center terminal, and a rescue service terminal.
Preferably,
Wherein the user information collection module or the user information analysis module comprises:
User information based depression monitoring application may be a smart device installed.
According to another aspect of the present invention, there is provided a method for monitoring depression based on user information,
(1) collecting activity information or biometric information of a user in real time; And
(2) analyzing the information collected in the step (1) in real time to quantify the degree of depression.
Preferably, the activity information includes:
The user's location and the amount of activity of the user at the time of Internet activity using the at least one selected from the group including the portal site search service, the email service, and the social network service, May be at least one or more information selected from the group.
Preferably, the biometric information includes:
At least one information selected from the group including brain waves and heart rate.
Preferably, in the step (2)
Of the information collected in the step (1), a singularity point indicating a difference from the standard information previously input or averaged may be extracted, or the degree of depression may be quantified by analyzing the presence or absence of the depressed symptom inputted in advance.
Preferably, in the step (2)
The information collected in the step (1), when a word or a phrase searched or inputted by the user belongs to a predetermined word group, when the position of the user belongs to a predetermined position, , And a case in which the bio-signal corresponds to a predetermined value, it is analyzed that depression is present in any one of the cases,
The degree of depression can be quantified by reflecting the number of times belonging to the predetermined word group or position, the amount of activity, and the bio-signal value.
More preferably, prior to step (2) above,
The method may further include inputting the predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value.
Preferably, after step (1) or step (2)
The method may further include storing information collected in the step (1) or information analyzed in the step (2).
Preferably, after step (2)
(3) transmitting the information to a predetermined destination when the degree of depression analyzed in the step (2) is in a predetermined range or more.
More preferably, the destination further comprises:
A home terminal, a police terminal, a hospital terminal, a fire station terminal, an emergency medical center terminal, and a rescue service terminal.
Preferably, step (1) and step (2)
User information based depression monitoring application can be performed by the installed smart device.
According to the user information-based depression monitoring system and method proposed in the present invention, the user information collection module and the user information collection module, which collect real-time activity information or biometric information of a user, By including a user information analysis module that digitizes, it is possible to monitor depression in real time within the user's daily activities.
In addition, according to the present invention, it is possible that the user can search for or input words or phrases at the time of Internet activity using at least one selected from the group including the portal site search service, the e-mail service and the social network service, By comparing at least one piece of information selected from the group including the amount of activity of the user with the standard information previously inputted or averaged or analyzing presence or absence of the depression symptom previously input from the information, Monitoring is possible.
In addition, according to the present invention, depression can be easily monitored at home without a separate device by using a smart device.
1 is a diagram illustrating a configuration of a user information based depression monitoring system according to an embodiment of the present invention;
FIG. 2 illustrates an example of activity information collection in a user information based depression monitoring system according to an embodiment of the present invention; FIG.
3 is a view illustrating another example of activity information collection in a user information based depression monitoring system according to an embodiment of the present invention;
4 is a diagram illustrating an example of biometric information collection in a user information based depression monitoring system according to an embodiment of the present invention.
5 is a diagram illustrating a configuration of a user information based depression monitoring system according to another embodiment of the present invention.
FIG. 6 illustrates a user information based depression monitoring system according to another embodiment of the present invention. FIG.
FIG. 7 is a flowchart illustrating a user information based depression monitoring method according to an exemplary embodiment of the present invention. FIG.
8 is a flowchart illustrating a method for monitoring depression based on user information according to another embodiment of the present invention.
FIG. 9 illustrates an embodiment of a user information based depression monitoring system and method according to an embodiment of the present invention. FIG.
Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. In the following detailed description of the preferred embodiments of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. The same or similar reference numerals are used throughout the drawings for portions having similar functions and functions.
In addition, in the entire specification, when a part is referred to as being 'connected' to another part, it may be referred to as 'indirectly connected' not only with 'directly connected' . Also, to "include" an element means that it may include other elements, rather than excluding other elements, unless specifically stated otherwise.
FIG. 1 is a diagram illustrating a configuration of a user information based depression monitoring system according to an embodiment of the present invention. Referring to FIG. 1, a user information based depression monitoring system according to an embodiment of the present invention includes a user information collection module 100 for collecting user activity information or biometric information in real time, And a user information analysis module 200 for analyzing one information in real time to quantify the degree of depression. Preferably, the user information collection module 100 or the user information analysis module 200 may be a smart device installed with a user information based depression monitoring application. A smart device refers to a product that is not limited in functionality and can be changed or expanded substantially through application programs. Typically, a smart device such as a smart phone, an iPad, a tablet PC, etc. . However, the present invention is not limited to this. If the depressed monitoring software is installed and can collect and analyze information, such as a personal computer, a notebook computer, etc., the user information collection module 100 or the user information analysis module 200 . However, from the viewpoint of user accessibility, a smartphone which is well portable and portable by the general public is preferable.
2 is a diagram illustrating an example of activity information collection in a user information based depression monitoring system according to an embodiment of the present invention. 2, according to an embodiment of the present invention, the activity information collected by the user information collection module 100 may include information indicating whether the user has selected a group including a portal site search service, an e-mail service, and a social network service Or may be a word or phrase that is searched or entered at the time of Internet activity using at least one. As described above, the user information collection module 100 may be a smart phone. When a user searches for a word related to depression such as 'suicide, depression' in a record retrieved from a portal site through a smart phone, Can be collected as user information. In addition, even when inputting melancholy-related words into e-mail, social network services such as Facebook and Twitter, the input word or phrase record can be collected as user information. Such words or phrases may collect both the words or phrases that are searched or inputted, but when the words or phrases of a predetermined range are searched or input, only the words or phrases are collected to facilitate subsequent analysis .
3 is a diagram illustrating another example of activity information collection in a user information based depression monitoring system according to an embodiment of the present invention. As shown in FIG. 3, according to an embodiment of the present invention, the activity information collected by the user information collection module 100 may be location information of the user. Since most of smart devices are equipped with GPS module, user's location can be acquired in real time, and current location information and movement information of user can be collected by using this. Also, the amount of activity of the user through the sleeping time, the exercise time, and the movement of the position may be measured and used as user activity information. In some embodiments, the amount of activity may be measured through brain waves, muscle strength, electrocardiogram, and the like.
As such, search or input words, location information, and activity information that can be easily acquired by a smart device can be used as an index useful for judging depression. Therefore, according to the present invention, it is possible to easily collect information necessary for judging the degree of depression without any additional apparatus, and it is also possible to analyze the degree of depression of the objective person objectively.
4 is a diagram illustrating an example of biometric information collection in a user information based depression monitoring system according to an embodiment of the present invention. As shown in FIG. 4, the biometric information collected by the user information collection module 100 may be at least one piece of information selected from the group including the brain waves and the heart rate. The user information collection module 100 may be an EEG measurement device including a plurality of electrodes and the EEG measurement device may be a smart device 200 that can serve as a user information analysis module ) To transmit the acquired information.
The user information analysis module 200 can extract a singularity point that is different from the standard information previously input or averaged from the collected information or quantify the degree of depression by analyzing the presence or absence of a preset depressed symptom. The standard information that has been previously input or averaged may mean a mean value of the activity amount, the bio-signal or the positional information measured during a predetermined period from the point of time when the depression is not diagnosed, or may mean an average value according to age or body information , Or may be information directly input by the user. The degree of depression can be quantified by comparing the activity information or the biometric information collected in real time on the basis of the standard information, by extracting a singularity indicating a difference over a predetermined range, by being in proportion to the degree of the singularity (in inverse proportion). In addition, it analyzes the presence or absence of pre-set depressive symptoms (eg, the average sleep time per day is less than 2 hours or more than 13 hours, activity is less than 30, 'suicide, depression', etc.) The degree of depression can be quantified.
Specifically, the user information analysis module 200 collects information collected by the user information collection module 100, and when the word or phrase entered by the user belongs to a predetermined word group (suicide, depression, etc.) In a case where the position of the subject is belonging to a predetermined position (a river, a dangerous setting area), the amount of activity of the user is less than a predetermined amount of activity, or the case where the biological signal corresponds to a predetermined value, The degree of depression can be quantified by reflecting the number of times belonging to a predetermined word group or position, the amount of activity, and the vital sign value.
5 is a diagram illustrating a configuration of a user information based depression monitoring system according to another embodiment of the present invention. As shown in FIG. 5, the user information based depression monitoring system according to another embodiment of the present invention further includes an input module 300 to store a predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value And may further include a storage module 400 to store information collected by the user information collection module 100 or information analyzed by the user information analysis module 200. [ The stored information can be transmitted to an external device or the like through the communication module 500.
FIG. 6 is a diagram illustrating a user information based depression monitoring system according to another embodiment of the present invention. 6, according to another embodiment of the present invention, when the degree of depression analyzed by the user information analysis module 200 is equal to or greater than a predetermined range, a communication for transmitting the information to the predetermined destination 1000 Module 500 may be further included. The destination 1000 may be at least one selected from the group including an affiliated terminal, a police terminal, a hospital terminal, a fire station terminal, an emergency medical center terminal, and an emergency medical institution terminal. The above information may mean the information collected or analyzed itself, or it may be a warning message that "the degree of depression is high, so it should be noted." A person or hospital who receives the warning message can prevent the person from developing serious depression by paying attention to the user, inducing a test or counseling, and treating the progressive depression.
FIG. 7 is a flowchart illustrating a method for monitoring depression based on user information according to an embodiment of the present invention. Referring to FIG. As shown in FIG. 7, the user information based depression monitoring method according to an embodiment of the present invention includes: collecting activity information or biometric information of a user in real time (S100); and collecting information collected in step S100 in real time And analyzing the degree of depression (step S200).
FIG. 8 is a flowchart illustrating a method for monitoring depression based on user information according to another embodiment of the present invention. As shown in FIG. 8, the user information based depression monitoring method according to another embodiment of the present invention includes the steps of inputting a predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value before step S100 (step S10 ), And may further include storing information collected in step S100 after step S100 or step S200 or storing information analyzed in step S200 (step S210). In addition, if the degree of depression analyzed in step S200 is equal to or greater than a predetermined range, the step S300 may further include transmitting the information to a predetermined destination. The user information based depression monitoring method according to another embodiment of the present invention including steps S10 to S300 may be performed by a smart device installed with a user information based depression monitoring application. The other steps are similar to those described above with reference to Figs. 1 to 6, and therefore detailed description thereof will be omitted.
9 is a diagram illustrating an example of utilization of a user information based depression monitoring system and method according to an embodiment of the present invention. As shown in FIG. 9, the risk of a certain behavioral change (event) due to depression is determined based on an activity such as SNS of a user or an Internet search, a living range, a pattern of a biological signal, Family, friends) by sending a warning (such as a warning message) to the acquaintances or experts to promptly mediate, can prevent extreme behavior due to depression. By performing this work through a smart device, it is possible to monitor depression easily and continuously without any additional device.
The present invention may be embodied in many other specific forms without departing from the spirit or essential characteristics of the invention.
100: user information collection module 200: user information analysis module
300: input module 400: storage module
500: Communication module 1000: Destination
S10: inputting a predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value
S100: collecting user's activity information or biometric information in real time
S200: the step of analyzing the information collected in step S100 in real time to quantify the degree of depression
S210: storing the information collected in step S100 or the information analyzed in step S200
S300: If the degree of depression analyzed in step S200 is equal to or greater than a predetermined range, the step of transmitting the information to a predetermined destination

Claims (20)

  1. As a depressed mood monitoring system,
    A user information collection module for collecting user activity information or biometric information in real time; And
    And a user information analysis module for analyzing information collected by the user information collection module in real time to quantify the degree of depression,
    Wherein the user information analysis module comprises:
    Wherein the information collected by the user information collection module includes information on a case where the word or phrase entered by the user belongs to a predetermined word group and the user's location belongs to a predetermined location, And the bio-signal of the user corresponds to a predetermined value, it is analyzed that depression exists in any one of the cases,
    The degree of depression is quantified by reflecting the number of times belonging to the predetermined word group or position, the amount of activity, and the bio-signal value,
    Further comprising an input module for inputting the predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value.
  2. The information processing apparatus according to claim 1,
    The user's location and the amount of activity of the user at the time of Internet activity using the at least one selected from the group including the portal site search service, the email service, and the social network service, Wherein the at least one information is selected from the group consisting of at least one of the plurality of users.
  3. The biometric authentication method according to claim 1,
    Wherein the at least one information is selected from the group consisting of brain waves and heart rate.
  4. The method of claim 1, wherein the user information analysis module comprises:
    Wherein the user information extracting unit extracts a singular point indicating a difference from the standard information previously input or averaged from the collected information or numerically expresses the degree of depression by analyzing presence or absence of a depressed symptom input in advance, .
  5. delete
  6. delete
  7. The method according to claim 1,
    And a storage module for storing information collected by the user information collection module or information analyzed by the user information analysis module.
  8. The method according to claim 1,
    Wherein the user information analysis module further comprises a communication module for transmitting the information to a predetermined destination when the degree of depression analyzed by the user information analysis module is equal to or greater than a predetermined range.
  9. 9. The method according to claim 8,
    Wherein the at least one user terminal is at least one selected from the group consisting of a home terminal, a police terminal, a hospital terminal, a fire station terminal, an emergency medical center terminal, and an emergency medical institution terminal.
  10. The method according to claim 1,
    Wherein the user information collection module or the user information analysis module comprises:
    Wherein the depression monitoring application is based on user information.
  11. As a method for monitoring depression,
    (1) collecting activity information or biometric information of a user in real time; And
    (2) analyzing the information collected in the step (1) in real time to quantify the degree of depression,
    The step (2)
    The information collected in the step (1), when a word or a phrase searched or inputted by the user belongs to a predetermined word group, when the position of the user belongs to a predetermined position, And the bio-signal of the user corresponds to a predetermined value, it is analyzed that depression exists in any one of the cases,
    The degree of depression is quantified by reflecting the number of times belonging to the predetermined word group or position, the amount of activity, and the bio-signal value,
    Prior to step (2) above,
    Further comprising the step of inputting the predetermined word group, a predetermined position, a predetermined amount of activity, and a predetermined value.
  12. 12. The method according to claim 11,
    The user's location and the amount of activity of the user at the time of Internet activity using the at least one selected from the group including the portal site search service, the email service, and the social network service, Wherein the at least one information is at least one information selected from the group consisting of at least one of the plurality of users.
  13. 12. The method according to claim 11,
    Wherein the at least one information is selected from the group consisting of brain waves and heart rate.
  14. 12. The method of claim 11, wherein step (2)
    The method according to any one of claims 1 to 3, wherein, among the information collected in the step (1), a singularity point representing a difference from the previously inputted or averaged standard information is extracted, or the presence or absence of a depressed symptom set in advance is input, Information based depression monitoring method.
  15. delete
  16. delete
  17. 12. The method of claim 11, wherein after step (1) or step (2)
    The method of claim 1, further comprising storing information collected in step (1) or information analyzed in step (2).
  18. 12. The method of claim 11, wherein after step (2)
    (3) transmitting the information to a predetermined destination when the degree of depression analyzed in the step (2) is in a predetermined range or more.
  19. The method as claimed in claim 18,
    Wherein the at least one user terminal is at least one selected from the group consisting of a home terminal, a police terminal, a hospital terminal, a fire station terminal, an emergency medical center terminal, and an emergency medical institution terminal.
  20. 12. The method of claim 11, wherein steps (1) and (2)
    Wherein the depressed person monitoring application is performed by a smart device installed with a user information based depression monitoring application.
KR1020140024776A 2014-03-01 2014-03-01 System and method for depression monitoring based on user information KR101626834B1 (en)

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Publication number Priority date Publication date Assignee Title
KR20200061518A (en) 2018-11-26 2020-06-03 (주)블라우비트 System for treatmenting depression using complex biometric data

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KR100662335B1 (en) * 2004-06-18 2007-01-02 엘지전자 주식회사 method for communicating and disclosing mobile terminal user's feelings, and communication system for the same
KR100715671B1 (en) * 2005-07-29 2007-05-09 한국전자통신연구원 Health management apparatus using bio-signal
KR101412610B1 (en) * 2012-05-21 2014-06-27 서울대학교산학협력단 Health Care Smart System
KR20130134452A (en) * 2012-05-31 2013-12-10 주식회사 라이프사이언스테크놀로지 Healthcare system using bio signal

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20200061518A (en) 2018-11-26 2020-06-03 (주)블라우비트 System for treatmenting depression using complex biometric data

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