KR102059239B1 - System for overcoming depression using application on smart device - Google Patents

Abstract

In conjunction with apps installed on smartphones, a system that can overcome depression is introduced.
To this end, the present invention is a system for overcoming depression by using a smartphone installed with an app that diagnoses the user's depression and provides a service for treating depression, wherein the user's current biometric information can be acquired. A plurality of sensors installed in the; A central server for transmitting and storing biometric information of a user sensed by the plurality of sensors; A behavior characteristic classifier which is pre-stored and classified separately in the central server so as to analyze the behavior characteristics of the user based on the biometric information of the user; And a questionnaire providing unit configured to determine a degree of depression symptoms of the user based on the classification score and to transmit a degree of depression symptoms questionnaire to the user. Including, but if the biometric information sensed by the plurality of sensors for a set period of time is transmitted to the central server is determined that the depression risk level is high by the behavioral characteristic classification unit of the central server to the user's smartphone Depression symptom degree questionnaire is transmitted by the questionnaire providing unit.

Description

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

The present invention relates to a system that can overcome depression by interworking with an app installed on a smartphone, and more particularly, to a system that can remotely treat depression through an app installed on a smartphone.

The World Health Organization (WHO) reports depression as the third of the top 10 most ailments for humanity and predicts it will be number one in 2030.

The number of people diagnosed with depression continues to increase worldwide, which is not only the quality of personal life but also the socioeconomic burden of the country.

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

Depression is defined as a series of emotional reactions characterized by sadness, pessimism about the future, decreased activity or productivity, sleep disorders, severe tiredness, inadequacy, and hopelessness. .

Studies have shown that depression is associated with various behavioral characteristics, such as decreased activity, delayed emotional behavior, and changes in sleep patterns, and insufficiency that indicates synchronization. Such symptoms can be estimated by analyzing smartphone usage.

Smartphones can also benefit from long-term improvement of symptoms by monitoring depression's behavioral and environmental risk factors and providing management and treatment.

Among the recent researches related to depression related studies abroad, a depression diagnosis application through tracking the location of the smartphone and analyzing usage patterns is representative.

At this time, the development of depression-related smartphone applications in Korea is a starting stage, and most of them are in the level of analyzing, diagnosing and reporting the psychological state of users through self-report surveys, and failing to perform actual and continuous therapeutic support. to be.

In addition, until recently, attempts to diagnose depression have not been made through data on smartphone users' usage time, mobile situation, and location.

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

KR 10-2016-0125075 (released October 31, 2016)

An object of the present invention is to efficiently manage a subject with high depressive symptoms using an app installed on a smartphone, as well as to provide an efficient treatment method in a short time.

In conjunction with apps installed on smartphones, a system that can overcome depression is introduced.

To this end, the present invention is a system for overcoming depression using a smartphone installed with an app that diagnoses the user's depression and provides a service for treating depression, wherein the user's current biometric information can be acquired. A plurality of sensors installed in the; A central server for transmitting and storing biometric information of a user sensed by the plurality of sensors; A behavior characteristic classifier which is pre-stored and classified separately in the central server so as to analyze the behavior characteristics of the user based on the biometric information of the user; And a questionnaire providing unit configured to determine a degree of depression symptoms of the user based on the classification score and to transmit a degree of depression symptoms questionnaire to the user. Including, but after the biometric information sensed by the plurality of sensors for a set period of time is transmitted to the central server, if it is determined that the depression risk level is high by the behavioral characteristic classification unit of the central server to the user's smartphone Depression symptom degree questionnaire is transmitted by the questionnaire providing unit.

If the system that can overcome the depression by interworking with the app installed on the smart phone of the present invention composed of the above configuration is useful for those who are difficult to access the treatment due to economic burden on the treatment of depression or consciousness of others, as well as It provides an efficient system for identifying, mediating and treating potential depression risk groups in advance.

Figure 1a is an overall configuration diagram of a system that can overcome the depression in conjunction with the app installed on the smartphone the inventor,
1b is an execution screen of an app that is one component of the present invention installed on a smart phone;
2 is a diagram illustrating a score according to a location of a user;
Figure 3 is an embodiment showing a score according to the acceleration by the accelerometer,
Figure 4 is an embodiment showing a score according to the light sensor,
5 is an embodiment showing a score according to the smart phone time sensor,
Figure 6 is an embodiment showing the score according to the ECG sensor,
7 is a diagram showing a score according to a behavioral characteristic classification unit;
8 is an embodiment of a depression degree questionnaire provided in the smartphone,
9 is one embodiment of a symptom of depression,
10 is an embodiment illustrating a state of inputting a mood state of a user using a smartphone;
11 is a graph showing a user's current position and a mood state at the position and statistical values using the graph.

Hereinafter, with reference to the accompanying drawings will be described a preferred embodiment of the system that can overcome the depression by interworking with the app installed on the smart phone of the present invention.

1A is an overall configuration diagram of a system capable of overcoming depression by interworking with an app installed on a smartphone of the present invention, and FIG. 1B is an embodiment illustrating a screen that may be viewed when an app of an actual smartphone is executed.

As shown in the present invention, the present invention diagnoses depression of a user and smartphones with apps installed to provide a service for treating depression, a plurality of sensors installed in the smartphone, the central server 100, the central server 100, the action provided separately Characteristic classification unit 200, a paperweight providing unit 300 is included.

The smart phone 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 online.

The smartphone executes an app installed in the smartphone, and then the user logs in, the information input by the user is transmitted to the central server 100, and the information transmitted from the central server 100 is also transmitted to the smartphone.

On the other hand, a plurality of sensors that can acquire the current biometric information of the user is installed in the smartphone or inside or outside.

A plurality of sensors, GPS that can measure the user's location, accelerometer sensor that can measure the user's activity, light sensor to measure the user's activity time, smart phone to measure the user's sleep and rest It includes a time sensor and an ECG sensor that can measure the heart rate fluctuation of the user.

GPS interlocks with the satellite to transmit the current location information of the smartphone to the central server 100, even if the app is not running the app as well as running the app in real time to the central server 100 in real time to the central server Is sent to 100.

The smartphone is equipped with an accelerometer sensor that can measure the user's activity level.

The acceleration sensor detects the user's movement by calculating the rate of increase / decrease of the linear motion in a specific direction. The acceleration sensor measures acceleration in a three-dimensional space whose range is three-axis directions in the x-, y-, and z-axes in the three-axis direction. That is, the motion of the object is detected from the inclination angle of the object and the acceleration in each direction based on the gravity acceleration. The angle of inclination of the object based on the acceleration of gravity is 1G of gravity in the vertical direction of the earth's gravity, and 1G is detected when the horizontal acceleration sensor is tilted at 90 degrees in response to gravity as it is inclined. Therefore, the acceleration of gravity is able to detect the tilted state and the direction of the ground in relation of sin (tilt angle).

The above-mentioned accelerometer sensor is a general one, and a detailed description thereof will be omitted, and the accelerometer sensor of the present invention measures the user's activity by measuring the moving acceleration of a user holding a smartphone in real time regardless of whether the app is executed.

For example, if the value of the accelerometer sensor is greater than or equal to the set reference value, it can be determined that the current user is active, such as having an active movement such as exercise. Can be.

People with severe depression are generally less active, there is an advantage that the central server 100 can collect the biometric information of the user in advance through the accelerometer sensor.

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

Using this light sensor, whether the app is running or not, the central server 100 allows the current user to know whether it is in a bright or dark place.

Of course, the light sensor and the accelerometer sensor may not be the absolute reference for measuring the degree of depression by the user alone, but at least the central server 100 acquires the user's biometric information in real time.

In addition, the smartphone is equipped with a smartphone time sensor for how much the user uses the smartphone.

This smartphone time sensor can be measured in various ways.

For example, the user may measure the current time of using the smartphone in various ways such as the number of touches by hand to open the smartphone and data deducted when viewing various information using the smartphone.

In other words, the user's sleep and rest can be measured using the smart phone's time sensor. For example, if you use your smartphone for more than the set time, you can assume that the user is excessively active and not getting proper sleep and rest.If you use your smartphone for less than the set time, you can block activities outside. If you are alone and can be a reference for treating depression.

In addition, the smart phone is installed with an ECG sensor that can measure heart rate fluctuations.

The ECG sensor is a sensor used to measure the heart rate. In some cases, the user may measure the heart rate of the user by touching a hand on a sensor installed in the smartphone for a predetermined time.

As described above, the accelerometer sensor, the light sensor for measuring the activity time of the user, the smart phone time sensor for measuring the sleep and rest of the user, and the electrocardiogram sensor that can measure the heart rate fluctuation of the app is installed on the smartphone Whether it is executed or not, it is continuously sensed and transmitted to the central server 100 and stored at the same time.

On the other hand, the central server 100 may be installed in various locations. For example, it may be installed in a hospital for treating depression, and in some cases, may be installed in a specialized institution for treating depression.

The central server 100 and the smartphone is constantly linked to share various information with the smartphone.

According to the present invention, after the biometric information sensed by the plurality of sensors is transmitted to the central server 100 for a set period, the depression risk level is high by the behavioral characteristic classification unit 200 of the central server 100. If it is determined that the depression questionnaire questionnaire is transmitted by the questionnaire providing unit 300 to the user's smart phone.

At this time, the central server 100 has a pre-stored classification score so as to analyze the behavioral characteristics of the user based on the biometric information, and calculates the scores for the behavioral characteristics of the user and then sums and stores the scores. Behavioral characteristic classification unit 200 that can be compared with the classification score is provided.

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 central server 100 has already stored the user's home and work as a reference location, and then calculates the location where the user has been away for one month based on the home or the workplace. Each score can be estimated accordingly.

The smaller the distance traveled, the higher the symptoms of depression can be scored according to the distance. However, the score according to each distance can be set differently for each user, and the score is not necessarily high or low in proportion to the distance.

That is, when the target user has previously received information such as feeling down or depressed in the central server 100 at home or at work, the higher the distance from the home or work, the higher the score can be selected.

In addition, in FIG. 3, a score according to an average acceleration of a user for a set period of time may be calculated using an accelerometer installed in a smartphone.

Of course, the unit of acceleration may be set in various ways. For example, if the average acceleration of the user is less than 10m / s ² for a month, the score can be calculated as 50 points, and the score can be calculated as shown in accordance with the range of each acceleration.

Of course, this score may also be set in various ways according to the user, and when the target user obtains information such as feeling down or depressed when the user is less active, the lower the average acceleration, the higher the score may be calculated.

On the other hand, Figure 4 may be calculated according to the user's activity time for a set period of time using the light sensor installed in the smart phone.

In general, the light sensor is associated with the user's activity time, so the user can select the average activity time during the day.

On the other hand, the light sensor does not need to be installed separately on the smartphone, GPS location information and the local weather, sunrise and sunset time information according to the GPS location information can be seen the time exposed to the light.

For example, if a user's average daily activity time is 1 hour or less for a month, the score may be calculated as 50 points, and the score may be calculated as shown in each activity time range.

Of course, this score may also be set in various ways according to the user, and when the target user gets information such as feeling down or depressed when the activity time is low, the score may be calculated as the activity time is lower.

5 is a score according to the use time of the user's smart phone for a set period of time using the smart phone time sensor installed in the smart phone can be calculated.

It can be selected as the average smartphone usage time of the user during the set period.

In addition, the usage time of the smartphone can be known through a gyroscope sensor, call logs, sms text messages, etc., which are almost installed in a typical smartphone.

Such smartphone usage time can be used to determine whether the patient is sleeping, for example, the patient's self-recording or sleep tracker and monitor (including movement during the night, analyzing changes in physical activity, bedtime and sleep time). After measurement, sleep analysis and tracking can be done.

For example, if a user's average smartphone use time per day is less than 1 hour, the score may be calculated as 10 points, and the score may be calculated as shown in each smartphone use time range. .

Of course, this score can also be set variously according to the user, and if the target user has obtained information such as feeling down or depressed as the user uses the smartphone for a long time, the score can be calculated as the smartphone use time increases. .

6 is a score according to the average bpm of the user for a set period of time using the ECG sensor installed in the smart phone can be calculated.

Of course, the ECG 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 state of the subject's activity with the accelerometer described above, rather than determining the degree of depression.

The score according to the average bpm of the user for a set period of time may be selected.

For example, if a user's daily average bpm is 60 or more and 90 or less for one month, the user may calculate 10 points.

Of course, this score may also be set variously according to the user, and when the target user is down or depressed, the score may be calculated as a higher score than the case of 90 or more.

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

As will be described in detail below, the central server 100 transmits a message for measuring a user's electrocardiogram by transmitting to the user at a predetermined time during the day, and the user places a finger on a sensor installed in the smartphone and displays the electrocardiogram result of the central server ( 100) to collect the information.

On the other hand, if the biometric information sensed by the plurality of sensors for a set period of time is transmitted to the central server 100 and determined by the behavioral characteristic classification unit 200 of the central server 100 to determine the high risk level of depression, Questionnaire depression degree by the questionnaire providing unit 300 to the smart phone is characterized in that the transmission.

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

At this time, when the central server 100 is determined that the risk level of depression is high, it provides a depression degree questionnaire to the smartphone through the questionnaire providing unit 300 located in the central server 100.

Depression risk level may be divided into low risk, medium risk, and high risk, as shown in Figure 7, low risk, medium risk and high risk may be different depending on the degree of depression sent to the smartphone.

For example, Figure 8a is a depression symptoms questionnaire that can be transmitted to the smartphone from the central server 100, each of these questions can be added to the risk group, as well as various questions to be provided by the risk group Can be.

In addition, the depression symptoms questionnaire is shown in FIG. 8B in addition to the questions shown in FIG. 8A.

As shown, it may be provided to the user as a so-called 'PHQ-9' developed by 'Spitzer' in 1999. Briefly described as follows.

Patient Health Questionnaire (PHQ), developed by Spitzer et al. In 1999, is a self-report questionnaire developed to help detect and diagnose mental illnesses that are likely to be encountered in primary clinical settings. Among them, Patient Health Questionnaire-9 (PHQ-9), which consists of nine items for the diagnosis of major depressive disorder, was designed in accordance with DSM-IV's diagnostic criteria for depression, with symptoms ranging from 0 to 3 points per item. After making the selection according to the degree of, the sum was obtained and 10 out of 27 points were set as cut-off points for depression.

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

As described above, the depressive symptoms board which diagnoses the degree of depression of the user based on the score calculated based on the user's answer result according to the depression symptom questionnaire and the biometric information of the user sensed by the plurality of sensors and the previously stored depression symptom score check. The government 400 is characterized in that it is included.

That is, as shown in FIG. 9, the depression symptom determination unit 400 is provided with a score table for determining depression symptoms based on the user's response and the scores disclosed in FIG. 7. Finally, the decision is made.

On the other hand, the central server 100 performs an alarm function that induces the user to input the current user's location and the mood state of the user at the location through the app a set number of times periodically for the set period to the user with a smartphone. It is done.

For example, transmit the current location to the central server 100 through the app once a day to the user for a month, input the mood state of the user felt at the current location through the app and the information is sent to the central server 100 Be sure to

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

This alarm function can be sent to the user's smartphone, as well as local mental health service guidance can be set to go to the alarm to close family, friends, mental health professionals.

This alarm function has the effect of raising the attention of the surrounding people by letting the alarm go to close family, friends, mental health professionals when the degree of depression of the actual user is severe.

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

That is, when the app is executed as shown in FIG. 10, an input window for enjoying the current location may be displayed as shown in the drawing. When the input window is pressed, the user's current location such as home, work, or restaurant may be displayed. An input window will appear for you to enter.

In this case, as shown in the figure, a plurality of input windows are displayed to indicate the user's feelings such as happiness, sadness, anger, and anxiety, and when the user inputs any input window, the information is transmitted to the central server 100. Is sent).

Meanwhile, as illustrated in FIG. 11, the central server 100 transmits a graph indicating the current location of the user and a mood state at the location and statistical values using the graph to the user's smartphone, and the central server 100. Characterized in that stored separately.

That is, as shown in FIG. 11, the horizontal axis shows the place where the user is located, the vertical axis shows the feelings of the user at each place, and separately, how often the user has been in the period set at the corresponding location.

At this time, the central server 100 health, including lifestyle and exercise habits, treatment plans to treat depression to the user on the basis of statistical values using the results and graphs by the depression symptom determination unit 400 for diagnosing the degree of depression. Characterized in that the information is sent to the smartphone.

That is, as shown in Figure 11, when you are in the yard or the porch, the mood is down, if possible provide guidelines for refraining access to the yard or the porch, or when driving the car, the result is that you feel good, periodically You can also set guidelines to drive.

In addition, lifestyle and treatment methods including information on the number of times to treat depression, exercise habits such as exercise mode, wake up time, sleeping time, smoking cessation, and abstinence, and the number of visits to the hospital, prescriptions, etc. Health information of the treatment plan is characterized in that transmitted from the central server 100 to the smartphone.

100: central server 200: behavior characteristics classification unit
300: questionnaire provider 400: Depression symptoms

Claims (6)

In the system that can overcome the depression by using a smartphone with an app that diagnoses the user's depression and provides a service for treating depression,
A plurality of sensors installed in the smart phone to acquire current biometric information of the user;
A central server for transmitting and storing biometric information of a user sensed by the plurality of sensors;
A behavior characteristic classifier which is pre-stored and classified separately in the central server so as to analyze the behavior characteristics of the user based on the biometric information of the user; And
A questionnaire providing unit for determining a degree of depression symptoms of the user based on the classification score and transmitting a depression degree questionnaire to the user; Including but not limited to:
When the biometric information sensed by the plurality of sensors is transmitted to the central server for a set period of time, and it is determined that the depression risk level is high by the behavioral characteristic classification unit of the central server, the user's smartphone provides the questionnaire providing unit. Depression symptom questionnaire is transmitted by,
Depression symptom diagnosis for diagnosing the degree of depression of the user based on a score calculated based on the user's answer result according to the depression symptom degree questionnaire and the biometric information of the user sensed by the plurality of sensors and a previously stored depression symptom score check Characterized in that the addition,
The plurality of sensors, a GPS that can measure the user's location, an accelerometer sensor that can measure the user's activity level, a light sensor for measuring the user's activity time, a smart phone for measuring the user's sleep and rest It characterized in that it comprises a time sensor and an electrocardiogram sensor that can measure the change in heart rate of the user,
The central server has a classification score according to the average acceleration of the accelerometer for a set period, a classification score according to the driving time of the light sensor during the set period, and a classification score according to the use time of the smartphone time sensor for the set period. And a classification score is stored in advance according to the average bpm value of the ECG sensor for a set period of time.
Wherein the central server, characterized in that to perform the alarm function to induce the user to enter the current user's location and the mood state of the user at the location through the app a set number of times periodically for a set period to the user, When the app is executed, an input window for inputting a user's current location is displayed, and when selecting an input window among the displayed input windows, a plurality of input windows indicating a current mood state of the user are displayed, and input through the displayed plurality of input windows. Characterized in that the mood state of the user is transmitted to the central server,
The central server, characterized in that the graph indicating the current location of the user and the mood state at the location and the statistical value using the graph to the user's smartphone, and separately stored in the central server, Characterized in that up to the number of times the user has been in the location for a set period,
The central server, the smart information to the health information, including lifestyle and exercise habits, treatment plans that can treat depression to the user based on the results of the depression symptoms judgment to diagnose the depression degree and the statistical value using the graph Characterized in that the transmission to the phone, a system that can overcome depression in conjunction with the app installed on the smartphone.

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