KR20190011900A - System for overcoming depression using application on smart device - Google Patents

Abstract

The present invention relates to a system for overcoming depression in link with a smartphone app. With the present invention, it is possible to overcome depression by using a smartphone having an app for diagnosing depression of a user and providing a service for treating depression. The present invention includes a plurality of sensors provided on the smartphone so as to obtain current biometric information of a user; a central server in which biometric information of a user sensed by the plurality of sensors is transmitted and stored; a behavior characteristic classifying unit that is provided with a classification score and is separately provided in the central server so that a behavior characteristic of the user can be analyzed based on the biometric information of the user; and a medical examination providing unit providing the user with depression symptom degree medical examination after determining the user′s depression symptom degree based on the classification score. The biometric information sensed by the sensors for a certain period is transmitted to the central server. Subsequently, when the behavior characteristic classifying unit of the central server determines that the depression level is high, the medical examination providing unit transmits the depression symptom degree medical examination to the user′s smartphone.

Description

 A system that can overcome depression in conjunction with an app installed on a smartphone. {SYSTEM FOR OVERCOMING DEPRESSION USING APPLICATION ON SMART DEVICE}

The present invention relates to a system capable of overcoming depression in conjunction with an app installed in a smart phone, and more particularly, to a system capable of remotely remediating depression through an app installed in a smart phone.

The World Health Organization (WHO) reported third in depression among the 10 most burdensome diseases and predicted to be number one in 2030.

The number of people diagnosed with depression worldwide is steadily increasing, which is a socio-economic burden for the country as well as personal quality of life.

In particular, Korea has a 20% increase in the prevalence of depression in 2011 compared with 2006 in the survey on mental illness. Therefore, it is required to prevent and treat depression from various perspectives.

Depression is defined as a series of emotional responses characterized by sadness, pessimism about the future, diminished activity or productivity, sleep disturbances or severe tiredness, loss of appetite, hopelessness, and as the severity of depression increases, behavior changes .

Studies have shown that depression is associated with a variety of behavioral characteristics, such as decreased activity, delayed emotional behavior, changes in sleep patterns, and impulsivity, which indicates a synchronized state, and these symptoms can be estimated by analyzing the patterns of smartphone usage.

In addition, through the use of smartphones, the behavior and environmental risk factors of depression can be monitored, managed and treated, and long-term symptom improvement can be achieved.

Among the studies related to depression abroad, the most noteworthy research is the application of depression diagnosis through smart phone location tracking and usage analysis.

At this time, the development of the depression-related smartphone application in Korea is in the beginning stage, and most of them are in the level of analyzing the user's psychological state through the self-report questionnaire, diagnosing and reporting it, to be.

Until recently, there has been no attempt to diagnose depression through data on the use time, mobility, and location of smartphone users.

Accordingly, the present invention primarily analyzes data on smartphone usage time, user movement status, and location of smartphone users, and when a result of suspected depression is found, a depression self-report questionnaire is conducted through a smartphone application, The goal is to develop a network system that can be registered and managed as a community mental health service organization.

KR 10-2016-0125075 (published Oct. 31, 2016)

An object of the present invention is to provide an effective treatment method in a short period of time as well as efficiently managing a subject having a high depressive symptom by using an app installed in a smart phone.

A system that can work with apps installed on smartphones to overcome depression is introduced.

To this end, the present invention provides a system capable of overcoming depression using a smartphone equipped with an app for diagnosing depression of a user and providing a service for treating depression, A plurality of sensors installed in the housing; A central server in which biometric information of a user sensed by the plurality of sensors is transmitted and stored; A behavior characteristic classifying unit that is provided with a classification score and is separately provided in the central server so that a behavior characteristic of the user can be analyzed based on the biometric information of the user; And determining a degree of a depression symptom of the user based on the classification score and transmitting the depression symptom level survey to the user; Wherein when the biometric information sensed by the plurality of sensors is transmitted to the central server for a predetermined period of time and then the behavioral risk classification unit of the central server determines that the risk level of depression is high, The depression symptom severity survey is transmitted by the paper-attendant class.

In addition to being useful for a patient who is difficult to access due to the economic burden of treating depression or the consciousness of others due to a system capable of overcoming depression in conjunction with an app installed in the smartphone of the present invention, , And provides an efficient system for identifying, intervening, and treating potentially depressed people.

FIG. 1A is an overall configuration diagram of a system capable of overcoming depression in conjunction with an application installed in a smartphone of the present invention,
1B shows an execution screen of an application, which is one component of the present invention installed in an actual smartphone,
FIG. 2 shows an embodiment showing a score according to a user's location,
3 is a graph showing an example of a score according to acceleration by an accelerometer,
Figure 4 shows one embodiment showing the score for a light sensor,
FIG. 5 illustrates an embodiment of a score according to a smartphone usage time sensor,
6 is an embodiment showing the score according to the electrocardiographic sensor,
FIG. 7 shows an embodiment showing scores according to the behavior characteristic classifier,
8 is an example of a depression symptom survey provided to a smartphone,
Figure 9 shows an example of a depression symptom score table,
FIG. 10 shows an example of a state in which a mood state of a user is input using a smartphone,
11 is a graph showing a current position of a user, a mood state at the position, and statistical values using the graph.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, preferred embodiments of a system capable of overcoming depression in conjunction with an app installed in a smart phone according to the present invention will be described with reference to the accompanying drawings.

FIG. 1A is an overall configuration diagram of a system capable of overcoming depression in conjunction with an application installed in a smartphone of the present invention, and FIG. 1B is an embodiment showing a screen that can be displayed when an application of an actual smartphone is executed.

As shown in the figure, the present invention provides a smartphone equipped with an app for diagnosing depression of a user and providing a service for treating depression, a plurality of sensors installed in a smart phone, a central server 100, A characteristic classifying unit 200, and a paperweight providing unit 300.

The smartphone used in the present invention may include a portable terminal or a desktop, and may be any type of information receiver capable of receiving information on-line.

After the smartphone executes the application installed in the smartphone, the user logs in, information inputted by the user is transmitted to the central server 100, and information transmitted from the central server 100 is also transmitted to the smartphone.

On the other hand, a plurality of sensors capable of acquiring the current biometric information of the user are installed in the smart phone, either inside or outside the smart phone.

The plurality of sensors may include a GPS capable of measuring a user's position, an accelerometer sensor capable of measuring a user's activity, a light sensing sensor measuring a user's activity time, and a smartphone measuring a user's sleep and rest A time sensor, and an electrocardiogram sensor capable of measuring a user's heart rate variation.

The GPS transmits the location information of the current smartphone to the central server 100 in cooperation with the satellite, and when the app is not executed, the location information of the current user is transmitted to the central server 100 in real time, (100).

The smartphone is equipped with an accelerometer sensor that can measure the activity of the user.

The acceleration sensor calculates a rate of increase / decrease of a velocity with respect to a linear motion in a specific direction and detects a user's motion. The acceleration sensor measures the acceleration in the three-dimensional space in the three-axis directions of the x, y, and z axes in the three axial directions. That is, the motion of the object is detected from the inclined angle of the object and the acceleration in each direction with reference to the gravitational acceleration. The tilted angle of the object with respect to the gravitational acceleration is 1 G when the gravitational acceleration is 1 G in the vertical direction and 90 degrees in response to gravity when the horizontal acceleration sensor is tilted. Therefore, the gravitational acceleration can detect the inclination state and the ground direction by the relation of sin (inclined angle).

The accelerometer sensor is a general one, and a detailed description thereof will be omitted. The accelerometer sensor of the present invention measures a user's activity level by measuring a moving acceleration of a user holding a smartphone, regardless of whether the app is executed or not.

For example, if the value measured by the accelerometer sensor is greater than the set reference value, the current user can judge that the user is active such as having an active movement such as exercise. If the value is below the set reference value, .

A person having a severe depression generally has a low activity, which is advantageous in that the central server 100 can collect biometric information of a user through the accelerometer sensor in advance.

On the other hand, the smartphone is equipped with a light sensor that can measure the user's activity time. The light sensor may be a so-called illuminance sensor, and the illuminance sensor senses the brightness of the ambient light and automatically adjusts the brightness of the display portion of the smart phone in general.

The light sensor can be used to inform the central server 100 whether the current user is in a bright place or in a dark place, regardless of whether the app is executed or not.

Of course, the light sensor and the accelerometer sensor can not be used as absolute criteria for the user to measure the degree of depression only by the measured values, but at least the central server 100 obtains the user's biometric information in real time.

In addition, a smartphone use time sensor is installed on the smart phone to determine how much the user uses the smart phone.

This smartphone usage time sensor can be measured in various ways.

For example, the user can measure the current time of using the smartphone in various ways such as the number of touching with the hand to open the smartphone, data subtracted when viewing the information using the smartphone, and the like.

That is, it is possible to measure the sleeping and resting degree of the user through the smartphone use time sensor. For example, if you use your smartphone for a set period of time, you can assume that the user is overactive and does not take proper sleep and rest. If you use your smartphone for less than the set time, If you are living alone, this can be a reference for the treatment of depression.

In addition, an electrocardiogram sensor capable of measuring heart rate variability is installed in a smartphone.

The electrocardiogram sensor is used to measure the heartbeat. In some cases, the user touches the sensor installed on the smartphone for a predetermined time to measure the heart rate of the user.

As described above, the accelerometer sensor, the light sensing sensor that measures the user's activity time, the smartphone use time sensor that measures the user's sleeping and resting degree, and the electrocardiogram sensor that can measure the user's heart rate fluctuation, And is transmitted to the central server 100 and stored at the same time.

Meanwhile, the central server 100 may be installed at various locations. For example, it can be installed in a hospital to treat depression, and in some cases, it can be installed in a specialized institution for treating depression.

The central server 100 and the smartphone are continuously interlocked to share various information with the smartphone.

If the biometric information sensed by the plurality of sensors is transmitted to the central server 100 during the set period of time according to the present invention, The user is informed of the depressed symptom by the contact person providing unit 300 with the smartphone of the user.

At this time, classification scores are stored in the central server 100 so that the behavior characteristics of the user can be analyzed on the basis of the biometric information. The scores of the behavior characteristics of the user are respectively calculated, A behavior characteristic classifier 200 is provided which can be compared with a classification score.

The set period may be variously set, and the biometric information sensed by the plurality of sensors described above may be transmitted to the central server 100 in units of one month, six months, or one year.

For example, as shown in FIG. 2, the home server and the workplace of the user are already stored in the reference position in the central server 100, and after calculating the position of the user for a month based on the home or work, Each score can be calculated accordingly.

People with less travel distance may have higher depressive symptoms, which can be scored according to their distance. However, the score according to each distance can be set differently for each user, and the score does not necessarily increase or decrease in proportion to the distance.

That is, if the target user obtains information such as the feeling or feeling of depression at home or at work in advance in the central server 100, the closer the distance from home or work, the higher the score can be selected.

In addition, in FIG. 3, the score according to the average acceleration of the user can be calculated during the set period using the accelerometer installed in the smartphone.

Of course, the unit of acceleration can be set variously. For example, if the average acceleration of the user for a month is less than 10 m / s ² , the score can be calculated as 50 points, and the score can be calculated according to the range of each acceleration.

Of course, this score can also be set differently according to the user, and when the target user is informed that the mood is down or depressed when the activity is low, the lower the average acceleration, the higher the score can be calculated.

Meanwhile, FIG. 4 can be used to calculate a score according to a user's activity time during a set period using a light sensor installed in a smartphone.

Generally, in the case of a light sensor, this activity time is related to the user's activity time, and the user can select the average activity time during the day.

Meanwhile, the light sensor does not need to be installed separately in the smartphone, but it can know the time of exposure to light through the GPS position information and the weather, sunrise and sunset time information according to the GPS position information.

For example, if the average daily activity time of a user for a month is less than one hour, the score can be calculated as 50 points, and the score can be calculated according to each activity time range.

Of course, this score can also be set differently according to the user, and if the target user gets information such as feeling down or depressed when the activity time is low, the lower the activity time, the higher the score can be calculated.

FIG. 5 is a graph illustrating a score of a user's smartphone usage time during a predetermined period using a smartphone usage time sensor installed in the smartphone.

The average smartphone usage time of the user during a predetermined period can be selected.

In addition, the gyroscope sensor, call logs, sms text message, and the like, which are generally installed in a general smartphone, can be used to determine the time of using the smartphone.

Such a smartphone usage time can be used to determine whether the patient is sleeping, for example, by analyzing the patient's self record, sleep tracker and monitor (including nighttime movement, changes in physical activity, And then sleep analysis and tracking).

For example, if a user's average daily smartphone usage time is one hour or less in a month, the score can be calculated as 10 points, and the score can be calculated according to each smartphone usage time range .

Of course, the score can also be set to vary according to the user, and if the user gets more information such as feeling down or depressed as the user uses the smartphone for a longer time, the higher the time spent on the smartphone, the higher the score .

FIG. 6 is a graph showing a score according to the average bpm of a user during a predetermined period using an electrocardiogram sensor installed in a smartphone.

Of course, the electrocardiogram sensor can be used as an indicator of the current state of the subject, and the bpm result can be used as an indicator of the current activity of the subject, in addition to the accelerometer described above, rather than the degree of depression.

A score corresponding to the average bpm for a user during a predetermined period can be selected.

For example, if a user's average daily bpm is 60 or more and less than 90 per month for a month, it can be calculated as 10 points.

Of course, this score can also be set differently according to the user, and when the user is feeling down or depressed, the score can be calculated to be higher than the score of 60 or less if the score is 90 or more.

On the other hand, the sensing by the electrocardiograph sensor can be collected in the central server 100 by various methods.

As will be described in detail below, the central server 100 sends a message to the user for a certain period of time during a day to send a message to the user to measure the electrocardiogram, finger the user to the sensor installed in the smartphone, 100 to collect the information.

Meanwhile, when biometric information sensed by a plurality of sensors is transmitted to the central server 100 for a predetermined period and then the behavioral property classification unit 200 of the central server 100 determines that the depressed risk level is high, The depression symptom severity survey is transmitted by the smartphone 300 by the smartphone.

That is, as shown in FIG. 7, the central server 100 includes a behavior characteristic classifier 200, and scores are calculated in the behavior characteristic classifier 200 as shown in FIG. For example, when the average of the scores calculated by the plurality of sensors described above is 30 or less, it is determined to be normal, and when the score is 30 or more and 40 or less, it can be adopted as a low-risk group of depression.

At this time, if the central server 100 determines that the depressed risk level is high, the central server 100 provides the depression symptoms to the smartphone through the paper supplier 300 located in the central server 100.

The depressed risk level can be distinguished as low risk, moderate risk, and high risk as shown in FIG. 7, and the depression symptoms transmitted to the smartphone by low risk, middle risk and high risk may be different.

For example, FIG. 8A shows a depression symptoms sent to the smartphone from the central server 100. These questions can be added to each of the risk groups, and various items are provided for the risk groups .

In addition, this depression symptom grade questionnaire is shown in FIG. 8B in addition to the item shown in FIG. 8A

As shown, it may be provided to the user in the so-called " PHQ-9 " developed by Spitzer in 1999. A brief explanation is as follows.

The Patient Health Questionnaire (PHQ), developed by Spitzer et al. In 1999, is a self-report questionnaire developed to help detect and diagnose mental illnesses in primary clinical situations. Patient Health Questionnaire-9 (PHQ-9) consisted of nine items for the diagnosis of major depressive disorder, which was designed in accordance with the diagnostic criteria of depressive episode of DSM-Ⅳ. And the total score was calculated. Ten out of 27 points were set as cut-off points for depressive symptoms.

Therefore, the present invention can also provide the user with the questionnaire shown in FIG. 8B in addition to the questionnaire shown in FIG. 8A.

As described above, the depression symptom diagnosis system diagnoses the degree of depression of the user based on the user's answer result according to the degree of depression symptoms, the score calculated based on the biometric information of the user sensed by the plurality of sensors, (400) is included.

That is, as shown in FIG. 9, the depression symptom determination unit 400 has a score table for determining the depression symptom based on the user's answers and the score shown in FIG. 7, and based on this, And finally judged.

On the other hand, the central server 100 performs an alarm function of guiding the user to input the position of the current user and the mood state of the user at the position through the application for a predetermined number of times periodically set by the smartphone .

For example, the user transmits the current location to the central server 100 through the application once a day for a month, inputs the user's mood state at the current location through the application, and transmits the information to the central server 100 .

The alarm function can be performed by various methods such as a text message and an alarm call.

This alarm function can be sent to the user's smartphone, and can be set to alert the nearest family member, friend, or mental health professional with a guide to the local mental health service.

Such an alarm function has an effect of raising the interest of the surrounding people by causing an alarm to a close family member, a friend or a mental health specialist when the actual user's degree of depression is severe.

To this end, an input window for inputting a user's current position is displayed when an application is executed, and a plurality of input windows indicating a user's current mood state are displayed when an arbitrary input window among the displayed input windows is selected.

In other words, as shown in FIG. 10, when an application is executed, an input window for displaying the current position can be displayed as shown in the figure. When the input window is clicked, the current position of the user such as home, work, An input window will appear.

At this time, when the user depresses the park, a plurality of input windows that display the user's feelings such as happiness, sadness, anger, and anxiety are displayed, and when the user inputs an input window, ).

11, the central server 100 transmits a graph indicating a user's current position and a mood state at the user's location and a statistical value using the graph to a user's smartphone, As shown in Fig.

That is, as shown in FIG. 11, the horizontal axis represents the place where the user is located, and the vertical axis represents the emotions felt by the user at each location, and separately displays how often the user was located during the period set at the corresponding location.

At this time, the central server 100 determines whether or not the user has health history including lifestyle, exercise habits, and treatment plan that can treat the depression based on the results of the depression symptom determination unit 400 for diagnosing the degree of depression and the statistical value using the graph Information is transmitted to the smartphone.

In other words, as shown in FIG. 11, when feeling in the yard or the front door, it is possible to provide a guideline for restricting entry or exit of the yard or entrance door as much as possible. You can also set guidelines to operate.

It also includes lifestyle habits including information on the number of times to treat depression, exercise habits, such as exercise habits, sleeping time, sleeping time, smoking cessation, and drinking, And health information of the treatment plan is transmitted from the central server 100 to the smart phone.

100: central server 200: behavior characteristic classification unit
300: Magnetic resonance imaging device 400: Depression symptom judgment part

Claims (6)

1. A system for overcoming depression using a smartphone equipped with an app for diagnosing a user's depression and providing a service for treating depression,
A plurality of sensors provided on the smartphone so as to acquire current biometric information of a user;
A central server in which biometric information of a user sensed by the plurality of sensors is transmitted and stored;
A behavior characteristic classifying unit that is provided with a classification score and is separately provided in the central server so that a behavior characteristic of the user can be analyzed based on the biometric information of the user; And
Determining a degree of depression of the user based on the classification score, and transmitting the depression symptoms to the user; , ≪ / RTI &
When the biometric information sensed by the plurality of sensors is transmitted to the central server for a predetermined period of time and then the behavioral property classification unit of the central server determines that the depressed risk level is high, The system is capable of overcoming depression in conjunction with an app installed on a smartphone, characterized in that the symptoms of depression are sent by a doctor. The method according to claim 1,
In the central server,
A depression symptom diagnosis that diagnoses the degree of depression of a user based on the result of the user's response to the depression symptom survey, the score calculated based on the biometrics information of the user sensed by the plurality of sensors, A system for overcoming depression in conjunction with an app installed in a smart phone. The method of claim 2,
Wherein the plurality of sensors comprises:
GPS to measure your location,
An accelerometer sensor capable of measuring a user's activity level,
A light sensor that measures the user's activity time,
A smartphone use time sensor for measuring a user's sleeping and resting degree,
And an electrocardiogram sensor capable of measuring a user's heart rate fluctuation. The system can overcome depression in conjunction with an app installed in a smart phone. The method according to claim 2 or 3,
The central server comprises:
And an alarm function for guiding the user to input the position of the current user and the mood state of the user at the position through the application for a preset number of times periodically set by the smartphone to the user,
An input window for inputting a current position of a user at the time of executing the application is displayed and a plurality of input windows indicating a user's current mood state are displayed when an arbitrary input window among the displayed input windows is selected, Wherein the mood state of the user is transmitted to the central server, wherein the mood state of the user is transmitted to the central server. The method of claim 4,
The central server comprises:
A graph indicating a user's current position and a mood state at the position and a statistic value using the graph are transmitted to a user's smartphone and stored separately in the central server. A system that can overcome depression. The method of claim 5,
The central server comprises:
The health information including lifestyle, exercise habits, and treatment plan that can treat depression to the user based on the result of the depression symptom judgment unit for diagnosing the degree of depression and the statistical value using the graph is transmitted to the smartphone It is a system that can overcome the depression in conjunction with the app installed on the smart phone.

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