KR20130142015A - Apparatus for sending and receiving diabetes-related medical information - Google Patents

Abstract

According to the present invention, a user can manage diabetes and diabetic complications systematically, intuitively, or effectively by using a smartphone. Also, the present invention can lead to improvement or changes in the behavior of the user according to the characteristics of the user based on the effects of the lifestyle and circumstance of the user to diabetes and diabetic complications. [Reference numerals] (110) Life style grasp unit;(120) Environmental information grasp unit;(130) Diabetes and diabetic complications record unit;(140) Individualized diabetes management unit;(150) Individual behavior improvement unit

Description

Apparatus for sending and receiving diabetes-related medical information

One preferred embodiment of the present invention relates to an apparatus for transmitting and receiving medical information related to diabetes, and more particularly, to an apparatus and method for managing diabetes and diabetes complications. Preferably, in one preferred embodiment of the present invention, it provides a method for managing diabetes and diabetic complications optimized for the situation in consideration of the lifestyle, the situation, and environment for each individual.

Diabetes is a type of metabolic disease, such as insufficient insulin secretion or normal function, and corresponds to a chronic disease that cannot be cured.

Continuous self-care is very important for the treatment of diabetes. To this end, even if a diabetic patient steadily records his or her blood sugar level in a notebook provided by a hospital or the like, only his or her recorded blood sugar is detected, and it is difficult to effectively manage diabetes.

In addition, acute complications can occur when suddenly lacking insulin in the body due to various reasons, such as a lack of medical knowledge, poor lifestyle, and sudden environmental changes in diabetics.

Acute complications include diabetic ketoacidosis and hyperglycemic hyperosmolar syndrome, which require immediate treatment and are fatal if not treated properly. Severe cases can lead to loss of consciousness and death.

However, it is very difficult to provide systematic diabetes education and individualized diabetes management to diabetics in light of the fact that medical insurance benefits for chronic disease education are not yet supported in Korea.

According to the present invention, diabetes mellitus and complication management are provided to each individual in consideration of the individual situation of the diabetics, and furthermore, the diabetes education is systematically performed for each individual by inducing the individual to improve individual behavior, and optimized We want to implement diabetes management.

In one preferred embodiment of the present invention, the diabetic and diabetic complication management device is data collected from sensors that can be mounted on the terminal or collected through communication with the terminal, the history of use of the terminal and the data obtained inside the terminal Life style processing unit to analyze the relationship between the user's lifestyle or behavior patterns and the user's health state by processing them through data mining; Environmental information that collects environmental information, including location information of the user, the weather, temperature, UV index, humidity information of the location where the user is located through a sensor mounted on the terminal or an application supported by the terminal, and analyzes the data through data mining Grasping unit; Providing an interface for receiving or outputting user input information, user health information or user biometric information, or providing an interface for outputting previously stored user input information, the user health information or the user biometric information, and receiving Or a diabetes and complication recorder that can be implemented to further apply authentication and security procedures when using an output interface; and data collected or received from at least one of the lifestyle determiner, the environmental information determiner, and the diabetes and complication recorder. Personalized diabetes management unit for evaluating the disease state for each individual by analyzing the multi-item associated mining method; .

According to the present invention, the user can systematically, intuitively or effectively manage the information on the blood sugar through the smart phone. In addition, diabetes management can be implemented according to the characteristics of the individual according to the effects of the lifestyle of the user and the environment of the user on diabetes or complications of diabetes.

In addition, the present invention can be used by a doctor, so that immediate and efficient patient management and treatment for diabetes can be performed on the patient, and the disease of the patient can be more effectively cured. In addition, according to the present invention, the smartphone of the patient and a predetermined device of the hospital can be connected through a communication network to implement a ubiquitous medical environment for diabetes.

Figure 1 shows the internal configuration of the diabetic and diabetic complication management apparatus according to an embodiment of the present invention.
2 to 5 show the interface of the diabetic and diabetic complication management apparatus according to an embodiment of the present invention.
FIG. 6 is a diagram illustrating an overall system diagram in which a diabetic and diabetic complication management device receives health information from an external device and communicates with a doctor and a hospital server system according to an embodiment of the present invention.
7 illustrates an example of a device for measuring diabetes mellitus and diabetes complication health information according to an embodiment of the present invention.
8 illustrates an example of an interface screen for recording diabetes mellitus and diabetes complication health information according to an embodiment of the present invention.
FIG. 9 is a diagram illustrating an interface relating to a graph representing information about blood glucose according to an embodiment of the present invention. FIG.
FIG. 10 shows a flowchart of a method for managing personalized diabetes and diabetic complications, as a preferred embodiment of the present invention.
FIG. 11 is a diagram illustrating an internal configuration of a device for managing personalized diabetes mellitus and diabetic complications as a preferred embodiment of the present invention.

Hereinafter, with reference to the accompanying drawings will be described in detail. Meanwhile, descriptions of terms and technical matters that can be understood by those skilled in the art will be omitted.

In order to prevent diabetes and diabetes complications, it is necessary to systematically collect and manage various self-test items such as blood sugar, weight, blood pressure, and hospital test information such as blood tests, urine tests, fundus tests, and glycated hemoglobin.

In addition to the above test items, various lifestyle factors, such as age, sex, type of medication, exercise amount, dietary habits, and income level, should be considered together.

With regard to current diabetes, diabetic patients record their own blood sugar level obtained from blood glucose measuring devices in a handbook provided by a hospital or the like by hand. In this case, it is possible to keep track of only his own recorded blood sugar, and effective diabetes management is difficult. In addition, the record of the Diabetes Handbook was difficult for doctors to use effectively.

In a preferred embodiment of the present invention, using a smartphone, iPad, tablet PC, small notebook, handheld device, etc., which is rapidly increasing in recent years, a method for managing diabetes and diabetes complications personalized to individuals with diabetes to provide. Hereinafter, the above-mentioned apparatus or apparatus or the apparatus or apparatus which may be substantially the same as or replaced with the above-mentioned apparatus or apparatus is referred to as a "terminal".

As a preferred embodiment of the present invention, the internal configuration of the diabetic and diabetic complication management device is as shown in FIG.

Diabetes and diabetes complication management apparatus 100 includes a lifestyle determiner 110, environmental information determiner 120, diabetes and complications recorder 130, personalized diabetes management unit 140 and personal behavior improvement unit 150 do.

The personalized diabetes management unit 140 of the diabetic and diabetic complication management device 100 analyzes the information grasped by the lifestyle determiner 110, the environmental information determiner 120, and the diabetes and complication recorder 130, and provides information. The personal behavior improvement unit 150 suggests items that need to be changed based on the lives of individual patients.

Hereinafter, the detail of each structure is described.

The diabetic and diabetic complication management apparatus 100 may receive a user input or may be connected to an external device and a hospital server through a wired or wireless network. Preferably Diabetes and Diabetic Complication Management Device (100) It can be implemented in the terminal.

In addition, the diabetic and diabetic complication management apparatus 100 receives the user's input information, the user's biometric information, or the user's health related information by touching the information shown in FIGS. This is possible.

The lifestyle grasping unit 110 is configured to process data collected from sensors (not shown) mounted on the terminal or collected through communication with the terminal, usage history of the terminal, and acquired data, and the user's lifestyle and health. Analyze the associations between behaviors.

Examples of sensors include GPS, Wi-Fi, accelerometers, compass cameras and mp3. The information that can be obtained from the sensor includes functions supported by terminals such as smartphones, PDAs, laptops, mobile phones, iPads, handheld devices, social network support devices, and the like. Blood pressure measurement sensor, blood oxygen saturation measurement sensor, heart rate variability sensor, weight detection sensor, user's movement that can be obtained through communication and information that the terminal can obtain through the terminal or an external device that can communicate with the terminal. Include all sensors.

In addition, the lifestyle grasping unit 110 may be configured by a user through a call log of a terminal, a web browsing usage status, an e-mail, a social network service (SNS), a short message service (SMS), a scheduler or a scheduling application built in the terminal, and the like. It is possible to infer the user's lifestyle statistically by grasping the time zone when using the terminal or web browsing.

Thereafter, the lifestyle grasping unit 110 may analyze the user's life pattern using a probabilistic model of machine learning, identify a repeated life pattern through a process of expressing the probability graph model, and predict a future life pattern. . An example of the machine learning probability model used in the lifestyle grasping unit 110 is a data mining method.

The lifestyle grasping unit 110 may analyze and predict the lifestyle of the user by analyzing data collected by the user through data mining on data collected inside the user terminal, text used, and sensor information collected. .

Examples of data mining collected inside the user terminal include call-log data, SMS, and application usage history. Examples of text data mining include E-mail, Social Network Service (SNS), Short Message Service (SMS), and scheduling.

As an example of using an SMS message, by collecting restaurant information among the card information paid by the user, the user's meal pattern, meal time, type of food preferred, and place of meal can be analyzed by time period, date, and statistically. have.

In addition, the lifestyle grasping unit 110 may accumulate statistically over time cumulatively the treatment appointment date, the treatment reservation hospital information, the treatment reservation doctor teacher information or the treatment reservation information received in a text message stored in the scheduler, Based on this, the user may select or predict future medical appointment information and inform the user.

The lifestyle grasping unit 110 may grasp or predict a user's life pattern based on the collected analysis data.

The environmental information grasping unit 120 grasps location information of the user, environmental information such as weather, temperature, UV index, humidity information, etc. of the user's location through a device or an application or sensor supported by the terminal. .

For example, you can find out the user's current location through GPS, etc. installed on the device, or the environment such as the weather, temperature, UV index, humidity information, etc. of the location where the user is located through the map and internet weather information supported by the device. Information can be grasped.

For example, the environmental information determiner 120 periodically stores GPS signals to store (location, time and weather) information, and receives an action performed by a user in response to (location, time and weather) information. Can be.

The diabetes and complication recorder 130 may receive and display information using an interface for receiving information about the user and outputting information about the user as shown in FIGS. 2 to 5. 6 to 7 may receive or receive user biometric information or user health related information from an external health information providing device as shown in FIGS. 6 to 7.

For example, the diabetic and complication recorder 130, as shown in Figures 2 to 5, the user's input information, user biometric information or user health-related information by touching the terminal, smart phone key input, or user voice recognition Can be received.

In addition, in an exemplary embodiment of the present invention, the diabetes and complication recording unit 130 may receive user input information, user biometric information, or user health related information from an external device as shown in FIGS.

In addition, the diabetes and complication recording unit 130 may receive the user input information, the user biometric information or the user health-related information from the application downloaded in the terminal. In this case, the diabetes and complication recorder 130 may maintain security through a procedure for authenticating and encrypting the received information.

In the above case, the user may directly input information in the diabetes and complication recording unit 130, but when using the information previously stored in or from an external device, the necessary information may be automatically retrieved and used.

Examples of user biometric information or user health-related information include fasting blood sugar, systolic blood pressure, diastolic blood pressure, body mass index, blood sugar and bedtime blood pressure after 2 hours after meals, urine test results, blood test results, fundus test results, glycated hemoglobin, and weight information. Etc.

Referring to FIG. 2, information about a user may be displayed on an interface screen 200 related to user information. As an example of information about a user, basic information 203 of a user is illustrated. Examples of the items of the basic information 203 include name, sex, date of birth, hospital attended, medical record number, and the attending physician. The user may use the button 202 having a function of storing the input information after inputting the basic information 203.

Referring to FIG. 3, initial example result information 304 related to diabetes of a user is illustrated as another example of information about the user. Examples of items of the initial result information 304 include the first diagnosis date, height, weight, body mass index, waist circumference, glycated hemoglobin, blood pressure, and the like.

Referring to FIG. 4, the diabetic and complication recorder 130 may receive information about nephropathy, retinal disorder, neurological disorder, and other items that can be checked among test items related to complications. In addition, as an example of a method for treating complications, a user may receive an item being treated, for example, insulin, oral medicine, or a combination thereof.

Diabetes and complications recorder 130 provides an interface for receiving information about the blood sugar of the user from the outside to receive information about the blood sugar. Information about blood sugar may be input by a user. In addition, information about blood glucose may be received from another device through a communication network, or may be received from a blood glucose measurement application.

Referring to FIG. 5, the interface screen 500 is displayed to receive information about blood sugar by date. Preferably, the interface for receiving information about blood sugar may receive information about today's blood sugar. In addition, the blood sugar measured at a predetermined time of day may be input.

For example, the blood sugar information input item 503 may receive a user's blood sugar before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner, and before bedtime. The predetermined time of day is not limited to the above example, and can be changed or newly established by the user or the producer.

In addition, the blood sugar information input item 503 may also receive other health information such as blood pressure and the like, and may also include a remark item for recording an unusual matter. The interface screen 500 of FIG. 5 may also include a button 501 having a function of returning to a main menu, and a button 502 having a function of storing information input by a user or another device. have.

It should be noted that the contents shown in FIGS. 2 to 5 are examples of user information, and the present disclosure is not limited thereto, and various user information may be changed or newly established by a user or a manufacturer.

Personalized diabetes management unit 140 is an individual through a multiple item association mining (Multiple Item Association Mining) method for the information obtained from the lifestyle determiner 110, environmental information determiner 120 and diabetes and complications recorder 130 Individualized diabetes management is performed to assess the patient's disease state.

In other words, the personalized diabetes management unit 140 is a personalized lifestyle, eating habits, behavior range, behavior patterns and environmental information grasping unit 120 identified by the lifestyle grasping unit 110 through a multi-item mining method. Comprehensive analysis of at least one or more of the environmental information, blood sugar information, other health information, and complication-related information obtained from the diabetes and complication recorder 130 to evaluate the disease state of the patient to optimize and individualize diabetes management information for each individual. to provide.

In this case, the personalized diabetes management unit 140 is a multiple item association mining (Multiple Item Association Mining) method for the information obtained from the lifestyle determiner 110, environmental information determiner 120 and diabetes and complications recorder 130 Through this, the individual's condition can be identified and transmitted to the hospital system or the attending physician.

In addition, by using the identified information as an index, the data server of the hospital system server may be searched to provide corresponding diabetes management information.

The optimized and personalized diabetes management information provided by the personalized diabetes management unit 140 may be supported in the form of a text message or an email, and may also be supported in the form of a graph or a warning sound.

Preferably, the personalized diabetes management unit 140 may send a message to the user by processing the data in the form of (age, gender, duration, treatment method, complications, lifestyle information).

An example of processing the data in the data format (age, gender, disease duration, treatment method, complications, lifestyle information) is as follows.

"OOO is a man in her 40s who is currently taking medication for diabetes. Men in their 40s are more likely to have excessive drinking or drinking due to active social activities, and exercise and medications are irregular due to irregular lifestyles. In particular, OOO has had OO evening appointments in the last three months, and OO evenings are scheduled this month, so we need to be very careful about them. "

The data format that can be processed in the personalized diabetes management unit 140 is various.

(Time, blood sugar information) data format is as follows.

"Hong Gil-dong started blood sugar management with the Diabetes Handbook on March 02, 2007. For the past six months, Hong Gil-dong performed blood glucose measurements every week on OO, and the highest blood sugar was OOO mg / dL, the lowest blood sugar on OO February. Was OO mg / dL on OO month.

Hong Gil-dong's average pre-dinner blood sugar was OOO mg / dL over the past three months, the average morning blood sugar was OOO mg / dL, the average pre-dinner blood sugar was OOO mg / dL, the average lunch blood sugar was OOO mg / dL, and the average pre-dinner blood sugar was OOO mg / dL Blood glucose is OOO mg / dL, average dinner blood sugar is OOO mg / dL, and average bedtime blood sugar is OOO mg / dL.

This means that Hong's blood sugar is well maintained, but care should be taken in the evening. In addition, the blood glucose measurement is relatively low before and after lunch, and I think we need to improve it. "

The personalized diabetes management unit 140 may provide analysis information in the form of a graph interface on the display of the user terminal when processing data in a data format of (time, blood sugar information).

Referring to FIG. 9, information related to a blood glucose level according to a predetermined temporal reference is illustrated graphically. The graph displays the mean and standard error by calculating the mean and standard error of blood glucose levels according to a predetermined temporal basis.

A button 902 interface is provided to the user to select a temporal reference, and the blood glucose level 903 is displayed at predetermined intervals on the vertical axis of the graph. A fixed blood sugar level may be provided, or a variable blood sugar level may be provided as a reference according to the blood sugar level. The horizontal axis indicates a time 904 set based on one day.

According to the set time 904 criterion, the mean 905 of blood glucose levels is plotted on the graph, and the standard error 906 for each value is displayed. In addition, the level of blood sugar may be displayed by being added to the number 907. In addition, the graph provides intervals 908 and 909 where the blood glucose levels are very high or very low and the risk of hyperglycemia and hypoglycemia can be indicated.

In FIG. 9, when the blood glucose level is 200 [mg / DL] or more, the hyperglycemic risk zone 908 is set. When the blood glucose level is 100 [mg / DL] or less, the hypoglycemic risk zone 909 is set. . The hyperglycemic risk zone and the hypoglycemic risk zone may be colored in different colors to distinguish visually. Thus, the user can intuitively grasp his blood sugar in the period and time. For example, if you look at the graph on a weekly basis and your blood sugar is at risk before breakfast, you may be able to better manage your diabetes by taking more medications related to diabetes before breakfast. In this case, more medications can be prescribed before breakfast, making it more effective to cope with patient care and recovery.

An example of data processing in the form of (complications test results) is as follows.

"Hong Gil-dong has performed a total of OO diabetes-related complications over the last six months. During that period, the average body mass index of Hong Gil-dong was OO kg / m2 and waist OO cm, which is equivalent to the Korean Society of Obesity. Hong Gil-dong's average glycated hemoglobin is OO%, which is considered to be a good control of diabetes, and his average blood pressure is OOO / OOO mmHg, which corresponds to high blood pressure. / 80 mmHg, so you will need to consult with a specialist to get that goal or increase your dose.

Hong Gil-dong's most recent serum lipid test showed that total cholesterol is OOO mg / dL, triglyceride OOO mg / dL, LDL cholesterol OOO mg / dL, and HDL cholesterol OOO mg / dL. This means that the serum lipid concentration of OOO is well maintained, but care must be taken in the management of triglycerides. We recommend that you consult with a specialist to reach that goal. "

An example of sending a message to a user using a multiple item association mining method using information obtained from the lifestyle acquiring unit 110 and information obtained from the environment information acquiring unit 120 is as follows.

"I think you're on a trip to New York. Today's weather here is sunny, with a minimum temperature of OO degrees, a maximum temperature of OO degrees, and a humidity of OO%. It's time to eat. Care should be taken as the time may be irregular and dosing may not work properly.

In the case of insulin, freezing and melting of the drug will greatly reduce its effectiveness. If you have a lot of places to walk, don't wear new shoes, but be prepared with comfortable shoes. In addition, please prepare plenty of comfortable socks that absorb sweat well. The nearest hospital is located OO km north of our current location so you can use it in case of emergency. "

Based on the analysis results of the personalized diabetes management unit 140, the personal behavior improvement unit 150 provides a detailed explanation or response method for analysis results for each user, a message that can be motivated for diabetes management for each user, Can be induced to change behavior. In this case, the personal behavior improvement unit 150 may induce a change in the user's behavior in the form of a message or a graph warning sound or vibration.

For example, if blood pressure is continuously measured due to high blood pressure and drinking is prohibited, the user's mobile phone may generate an alarm when a credit card is made at a bar more than a predetermined number of times, or when a user's location is recorded at a bar more than a preset number. You can ring or send a text message such as "Drinking is harmful to blood pressure." In this case, the preset number of times, etc. may be initially set by the user or may be transmitted to the user terminal by designating the number of times predetermined in the hospital server.

In addition, the personal behavior improvement unit 150 may provide a feedback for inducing a change in the health status of diabetics by transmitting a message for managing diabetes optimized to an individual's condition to a user at a predetermined cycle.

Specific examples of the messages provided by the personal behavior improvement unit 150 are as follows.

Example 1) Forties, men, Hong Gil-dong during drug treatment, recent decrease in blood sugar input and complications

Regular exercise can help you manage your diabetes.

-Diabetic medications take the dose on time, without filtering the meal.

-Evening meetings increased during the year-end and New Year holidays. Beware of heavy drinking and overeating.

-Beware of excessive drinking and snacks during the World Cup.

-Let's overcome diabetes with regular blood sugar test.

Regular complications can prevent diabetes complications.

Recently, blood sugar levels have risen significantly compared to the last OO week. Please consult your doctor.

Example 2) 60-year-old woman, Gil-Soon Hong during insulin treatment, recently confirmed new complications, hypoglycemia

Vitamin D deficiency can cause osteoporosis as well as worsening diabetes.

Insulin is injected into the abdominal subcutaneous tissue and is injected over several sites to avoid side effects.

-Hypoglycemia has been confirmed more than 3 times recently. Please consult your doctor.

Open insulin can be used at room temperature for one month.

-If hypoglycemia persists, bring glucose and prepare for an emergency.

-Let's overcome diabetes with regular blood sugar test.

Regular complications can prevent diabetes complications.

Example 3) 20s, woman, OOO during insulin therapy, recently traveling

-Have a nice trip with the Diabetes Handbook

-Refer to the educational materials built into the "Diabetes Handbook" for managing diabetes while traveling

-Beware of poor blood sugar control caused by overeating or irregular meals while traveling

-Insulin should be stored to keep it from freezing. Keep it on board the plane

6 to 7 illustrate an example of receiving user biometric information or user health related information from the health information measuring devices 600, 710, and 720 by wired or wireless in the terminal.

Health information measuring device (600, 710, 720) can measure the fundus test, blood test, glycated hemoglobin, weight, blood sugar, blood pressure, urine test and the like. To this end, the health information measuring device (600, 710, 720) may be equipped with a blood pressure measurement sensor, blood oxygen saturation measurement sensor, heart rate variability sensor, weight sensor, a known sensor for measuring the user's movement.

The health information measuring devices 600, 710, and 720 may further include a display unit that stores a program for operating each of the above sensors, and displays the result measured by the sensor by driving the program.

In addition, the health information measuring device (600, 710, 720) may be equipped with a known wired or wireless module for transmitting the measurement results to the terminal, such as a smart phone, wired or wireless.

The terminal 601 is a health information received from the health information measuring device 600, lifestyle identification unit (FIG. 1, 110) identified by individualized lifestyle, eating habits, behavior range, behavior pattern and environmental information identification unit (FIG. 1). , Information about the surrounding environment of the user, and the blood sugar information and other health information obtained from the diabetic and complication records (FIGS. 1 and 130), complication related information, and the multi-item associated mining (FIG. Comprehensive information obtained from at least one of the lifestyle determining unit (FIGS. 1 and 110), the environmental information identifying unit (FIGS. 1 and 120), and the diabetes and complication recorders (FIGS. 1 and 130) through the Multiple Item Association Mining method. Analyzes the information provided for each patient, and the information provided by the personal behavior improvement unit (FIGS. 1 and 150) stored in the terminal or transmitted to the doctor and the hospital server system 602 through a wired or wireless communication network. Neunghada.

As a preferred embodiment of the present invention, the health information measuring device (600, 710, 720) can be implemented as a separate external device as shown in Figure 6 to 7 and a wireless communication network (for example, Bluetooth, Wi-Fi, data It is possible to transmit and receive data through a cable communication network) or in the form of a connection jack as shown in FIG.

In addition, it should be noted that the sensor mounted on the health information measuring instrument can be implemented in the form of an accessory mounted in the terminal or the terminal.

8 illustrates an example of an interface screen for recording diabetes mellitus and diabetes complication health information according to an embodiment of the present invention.

Referring to FIG. 8, an example of an item 803 for a test result on the interface screen 800 may include an item regarding a test date, weight, body mass index, waist circumference, glycated hemoglobin, blood pressure, and memo. In addition, the interface 800 providing information regarding the test result is provided with a button 801 for returning to the main menu and a storage button 802 for storing the test result input by the user.

FIG. 9 is a diagram illustrating an interface relating to a graph representing information about blood glucose according to an embodiment of the present invention. FIG.

The graph displays the mean and standard error by calculating the mean and standard error of blood glucose levels according to a predetermined temporal basis. In an embodiment of the present invention, the temporal criteria are set to day, week, month, and 3 months, and a button 902 is provided for allowing the user to select the temporal criteria. On the vertical axis of the graph, the blood sugar level 903 is displayed at predetermined intervals. A fixed blood sugar level may be provided, or a variable blood sugar level may be provided as a reference according to the blood sugar level. The horizontal axis indicates a time 904 set based on one day.

Among today's blood sugar information of FIG. 5, the standard before breakfast, after breakfast, before lunch, after lunch, before dinner, after dinner, and before bed are provided as time criteria for measuring blood sugar. According to this criterion, the mean 905 of blood sugar levels is plotted on the graph and the standard error 906 for each value is displayed. In addition, the level of blood sugar may be displayed by being added to the number 907.

In addition, the graph provides intervals 908 and 909 where the blood glucose levels are very high or very low and the risk of hyperglycemia and hypoglycemia can be indicated. In FIG. 9, when the blood glucose level is 200 [mg / DL] or more, the hyperglycemic risk zone 908 is set. When the blood sugar level is 100 [mg / DL] or less, the hypoglycemic risk zone 909 is set. have. The hyperglycemic risk zone and the hypoglycemic risk zone may be colored in different colors to distinguish visually. Thus, the user can intuitively grasp his blood sugar in the period and time.

For example, if you look at the graph on a weekly basis and your blood sugar is at risk before breakfast, you may be able to better manage your diabetes by taking more medications related to diabetes before breakfast. In this case, more medications can be prescribed before breakfast, making it more effective to cope with patient care and recovery. In addition, the interface screen 900 is provided with a button 901 for returning to the main menu.

FIG. 10 shows a flowchart of a method for managing personalized diabetes and diabetic complications, as a preferred embodiment of the present invention.

In a preferred embodiment of the present invention, the personalized diabetes and diabetes complication management terminal provides an interface for receiving the user's input information, user biometric information or user health information in step S1010, and outputs the received or received information. Information about the user may be received by the user's input or may receive user information from an external server or device. For example, see FIGS. 2 to 5.

Personalized diabetes and diabetes complication management terminal collects data from the sensors that can be installed in the terminal or collected through communication with the terminal (S1020). Examples of sensors include GPS, Wi-Fi, accelerometers, compass cameras, mp3, blood pressure measuring sensors, blood oxygen saturation sensors, heart rate variability sensors, weight sensors, known sensors for measuring the user's movement, and the like. Thereafter, the personalized diabetes and diabetes complication management terminal performs data mining on the information collected above in the form of (time, behavior, blood glucose information, diabetes complication information) or other various forms (S1021).

In addition, after personalized diabetes and diabetes complication management terminal collects data using internal information such as call log, web browsing usage status, email, SNS information, SMS information, scheduler data collection (S1030), Data mining is performed in the form of information to be grasped, for example, (hospital reservation schedule, restaurant selection information grasped by SMS information) (S1031).

Personalized diabetes and diabetes complication management terminal data mining information collected from the inside and outside of the terminal, it is possible to grasp the statistical and probabilistic relationship between each person's lifestyle and diabetes and diabetes complications (S1020, S1030, S1021, S1031).

In addition, the personalized diabetes and diabetes complication management terminal collects external environmental information such as location information of the user of the terminal, weather, humidity, altitude, UV index of the terminal user through a sensor or an application supported by the terminal. This is because understanding the user's environmental situation can be a very important factor in patient management. The terminal may perform data mining on the collected environmental information in the form of (time, location, weather information (other environmental information), user behavior). Through the data mining as described above, the user may grasp a behavioral habit in a specific weather or location, and infer a habit to be prevented (S1040, S1041).

The terminal grasps the user's lifestyle based on the information collected from inside and outside the terminal, and simultaneously collects the user's external environmental information, maintains a certain habit of being exposed to the environment, and the user's health in the situation. The bio information or health information indicating the state may be determined through multi-item mining (S1050).

In addition, the terminal may provide an interface for outputting statistical analysis, prediction values, and the like of the user biometrics / health information, the user's eating habits, behavior patterns, and environmental information identified above (S1060).

Process the data into a message in the form of (age, gender, illness, treatment method, complications, lifestyle information) to the user by combining the user's health status for each individual identified through the multi-item association mining in step S1050. An interface may be provided (S1070). It should be noted that the above message type is only an embodiment of the present invention, and may have various types of message types. See the example described above for the various types of message formats.

In addition, in step S1070, cardiovascular disease after 10 years of the user using variables such as age, sex, total cholesterol, HDL cholesterol, systolic blood pressure, blood pressure medications, smoking status, diabetes, etc. Risk estimates can also be provided.

Thereafter, the terminal changes the user's behavior by providing a message, a graph, a warning sound and / or a vibration to the user in the form of a review of the data server or the attending physician of the hospital system based on the result of comprehensively analyzing the user's condition. It can be derived (S1080).

FIG. 11 is a diagram illustrating an internal configuration of a device for managing personalized diabetes mellitus and diabetic complications as a preferred embodiment of the present invention.

Referring to FIG. 11, the personalized diabetes and diabetes complication management apparatus 1100 may include a receiver 1110, a sensor 1120, a controller 1130, a display 1140, a transmitter 1150, and an alarm 1160. Include. In addition, the personalized diabetic and diabetic complication management device 1100 may receive a user input or data of an external device (1101), it is also possible to communicate with the external device and the hospital server 1102 through a predetermined communication network.

The receiver 1110 receives a user input or data from an external device. The sensor unit 1120 includes a GPS, a Wi-Fi, an accelerometer, a compass camera, and an mp3. The sensor unit 1120 may further include a blood pressure measuring sensor, a blood oxygen saturation measuring sensor, a heart rate variability sensor, a weight sensor, and a known sensor for measuring a user's movement. The sensor unit 1120 may receive information such as a user's current location, today's weather, temperature, humidity, acceleration, image signal, and the like, and collect blood sugar, blood pressure, weight, blood sugar, and fundus test results. This is possible.

The controller 1130 provides an interface for comprehensively analyzing and outputting data received or collected by the receiver 1110 and the sensor unit 1120 and collected data in the terminal. The control unit 1130 identifies the user's lifestyle, analyzes the environment information present by the user through data mining and multi-item associated mining techniques, and analyzes the user's biometric / health information in a comprehensive manner. Correspondingly, bio / health information corresponding thereto and information on future risks of diabetes and diabetic complications can be provided. In addition, the controller 1130 grasps the life for each individual to provide diabetes management information as a whole, and also provides the user with the problems of lifestyle habits, information that needs to be prevented, dietary improvement, environmental information, and the like. Can lead to improved behavior.

To this end, the control unit 1130 may be configured to sound an alarm to take medicine at a specific time using the alarm unit 1160, to transmit a message when a change in drinking, sleep, or the like is required as a result of the user's statistical lifestyle determination Implementation is possible.

In addition, the control unit 1130 may implement the corresponding information in a graph or provide a voice so that the comprehensive information on the diabetic state of the user can be intuitively identified through the display unit 1140.

For example, the controller 1130 calculates an average and a standard error of the blood sugar level according to a predetermined temporal reference based on the information about the blood sugar received by the receiver 1110, displays the average and the standard error, and displays the blood sugar. When the numerical value is out of two predetermined threshold values, that is, a graph indicating an area indicating a risk of hyperglycemia or hypoglycemia, an interface for outputting a graph to the display unit 1140 is provided. In addition, when the blood sugar level is in the region indicating the risk of high or low blood sugar in the graph, the controller 1130 outputs a danger warning signal to the user or transmits the blood sugar of the user to a predetermined external hospital server through the transmitter 1150. Provides an interface for transmitting information. In an embodiment of the present invention, when there is an emergency as described above, the controller 1130 searches for a hospital at the shortest distance using GPS information, and transmits the user's blood sugar information to the searched hospital server through the transmitter 1150. You may.

The personalized diabetes and diabetes complication management method as described above can also be embodied as computer readable codes on a computer readable recording medium. A computer-readable recording medium includes all kinds of recording media in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like. The computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And, functional programs, codes, and code segments for implementing the disk management method can be easily deduced by the programmers of the present invention.

So far I looked at the center of the preferred embodiment for the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is defined by the appended claims rather than by the foregoing description, and all differences within the scope of equivalents thereof should be construed as being included in the present invention.

Claims (4)

The data collected from the sensors mounted on the terminal or collected through communication with the terminal, the usage history of the terminal, and the data obtained from the terminal are processed through data mining, and the user's lifestyle or behavior pattern and user Lifestyle grasp for analyzing the relationship between health status of the child;
Environmental information that collects environmental information, including location information of the user, the weather, temperature, UV index, humidity information of the location where the user is located through a sensor mounted on the terminal or an application supported by the terminal, and analyzes the data through data mining Grasping unit;
Providing an interface for receiving or outputting user input information, user health information or user biometric information, or providing an interface for outputting previously stored user input information, the user health information or the user biometric information, and receiving Or diabetes and complication records that can be implemented to further apply authentication and security procedures when using the output interface; And
Provides an interface that analyzes and analyzes the data collected or received from at least one of the lifestyle grasping unit, the environmental information grasping unit, and the diabetes and complication recorder in a multi-item associated mining method to evaluate a disease state for each individual and inform the user. Personalized diabetes management unit; Medical information transmitting and receiving device comprising a. According to claim 1, wherein in the personalized diabetes management unit
And a personal behavior improvement unit for transmitting a message for inducing improved behavior for each individual based on the result of the multi-item association mining method. The method of claim 1,
The usage history of the terminal and the data obtained in the terminal may include a call log, a web browsing usage status, an email, a social network service, a short message service, a scheduler built in the terminal, or the like. Medical information transmitting and receiving device comprising a usage history of the scheduling application. The method of claim 1, wherein the sensor
GPS, Wi-Fi, accelerometer, compass camera, mp3, blood pressure sensor, blood oxygen saturation sensor, heart rate variability sensor, weight sensor, Medical information transmitting and receiving device, characterized in that it further comprises a sensor.

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