KR102659042B1 - Method based on platform for controlling smart insulin pen and recording medium storing program to implement the method - Google Patents

Abstract

A platform-based smart insulin pen control method and recording medium are disclosed. A platform-based smart insulin pen control method according to an embodiment is implemented by an electronic device including a memory and a processor electrically connected to the memory, and includes a log receiving step of receiving log data from the smart insulin pen; A log transmission step of transmitting the log data to the platform; A setting information transmission step of transmitting setting information input to the electronic device to the platform; and an injection volume recommendation step of receiving a bolus injection volume recommendation from the platform.

Description

Platform-based smart insulin pen control method and recording medium {METHOD BASED ON PLATFORM FOR CONTROLLING SMART INSULIN PEN AND RECORDING MEDIUM STORING PROGRAM TO IMPLEMENT THE METHOD}

This disclosure relates to a platform-based smart insulin pen control method and recording medium.

In general, an insulin pen is a medical device for injecting a precise dose of insulin into a diabetic patient, and has the advantage of being easy to self-inject and easy to carry compared to a regular syringe. In this regard, technology for a pen-type syringe has been presented in Republic of Korea Patent Publication No. 10-1604957.

However, because existing insulin pens do not automatically record insulin injections, it is inconvenient to use a separate calculator or make mental calculations when calculating the bolus injection amount (i.e., the amount of insulin injected into the patient's body before a meal). There was this. Additionally, if insulin was injected roughly without accurately calculating the bolus injection amount, there was a risk that blood sugar control in the body would not be smooth and the risk of complications would increase.

Therefore, patients using an insulin pen had to calculate the bolus injection amount by taking into account the current blood sugar level, the amount of carbohydrates to eat, and the amount of insulin currently remaining in the body. However, there are various types of insulin drugs on the market, and each has its own action time in the body. Because each drug is different, the bolus injection amount may vary depending on the drug, and whenever a new drug is released, there is a problem in that it is not easy to calculate the bolus injection amount by reflecting the drug information.

The technical idea of the present disclosure is to solve the above-mentioned problems, and its purpose is to provide a technology that allows a user using an insulin pen to easily calculate the bolus injection amount.

The problem to be solved by the present invention is not limited to the above-mentioned problem, and other technical problems not mentioned will be clearly understood by those skilled in the art from the contents described later.

In order to achieve this object, in one embodiment of the present invention, a platform-based smart insulin pen control method is implemented by an electronic device including a memory and a processor electrically connected to the memory, and log data is collected from the smart insulin pen. A log receiving step; A log transmission step of transmitting the log data to the platform; A setting information transmission step of transmitting setting information input to the electronic device to the platform; and an injection volume recommendation step of receiving a bolus injection volume recommendation from the platform.

In addition, log data may be information about insulin discharged from the smart insulin pen.

In addition, the setting information includes type information about the type of insulin drug, action time information about the time the insulin drug acts in the body, and peak time information about the point when the blood insulin concentration reaches its maximum after the insulin drug is injected into the body. may include.

And, in the log reception step, log data can be received from the smart insulin pen through short-distance communication.

Meanwhile, the platform-based smart insulin pen control method may further include an injection information transmission step of transmitting bolus injection amount information to the smart insulin pen through short-distance communication.

In order to achieve this purpose, as another embodiment of the present invention, a program for performing the above-described method may be recorded on a computer-readable recording medium.

In order to achieve this object, in another embodiment of the present invention, a platform-based smart insulin pen control method is implemented by a server, and includes a blood sugar information receiving step of receiving a blood sugar measurement value from a blood sugar measuring device; A log data receiving step of receiving log data from an electronic device; A setting information receiving step of receiving setting information from the electronic device; An injection amount calculation step of calculating the bolus injection amount to be injected by the smart insulin pen using a pre-stored algorithm; and an injection amount information transmission step of transmitting information about the calculated bolus injection amount to the electronic device.

Additionally, log data may be information about insulin discharged from the smart insulin pen.

In addition, the setting information includes type information about the type of insulin drug, action time information about the time the insulin drug acts in the body, and peak time information about the point when the blood insulin concentration reaches its maximum after the insulin drug is injected into the body. may include.

In addition, in the injection amount calculation step, the bolus injection amount can be calculated by subtracting the estimated amount of active insulin remaining in the body from the total of the insulin injection amount according to the carbohydrate coefficient, the insulin injection amount according to the correction coefficient, and the insulin injection amount according to the blood sugar trend.

In addition, in the step of calculating the injection amount, the insulin injection amount according to the blood sugar trend is derived using trend data that is classified into a plurality of stages according to the increase or decrease in the blood sugar measurement value and mapping a constant insulin injection amount value for each stage, and the type of insulin drug Using active insulin data classified according to time of action and peak time information, an estimated amount of active insulin remaining in the body can be derived by checking the injection time of insulin included in the log data.

In order to achieve this object, as another embodiment of the present invention, a program for performing the above-described method can be recorded on a computer-readable recording medium.

The means for solving the above problems are merely illustrative and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, there may be additional embodiments described in the drawings and detailed description of the invention.

As described above, according to various embodiments of the present invention, drug information about newly released insulin drugs is reflected in the algorithm of the platform, and the platform uses log data generated by the smart insulin pen and setting information generated by the electronic device. can be collected and automatically calculate the bolus injection amount and transmit the information to an electronic device, and the electronic device can transmit the bolus injection amount information to the smart insulin pen.

Therefore, the user can easily determine the bolus injection amount without having to directly calculate the bolus injection amount using the current blood sugar level, the amount of carbohydrates to eat, and the amount of insulin currently remaining in the body, and efficient blood sugar management is possible because accurate insulin injection is possible. .

In addition, according to various embodiments of the present invention, the bolus injection amount can be calculated by reflecting the latest drug information without periodically updating the firmware (or application) of the user terminal (for example, a smartphone), and the smart insulin pen By accurately determining the amount of insulin injected from the system, it can be reflected when calculating the bolus injection amount.

In addition, according to various embodiments of the present invention, rapid data linkage between the platform, electronic device, and smart insulin pen is possible and has the advantage of excellent scalability.

Effects according to various embodiments of the present invention are not limited to the effects mentioned above, and other effects not mentioned may be clearly understood by those skilled in the art from the description of the claims.

1 is a block diagram schematically showing an electronic device according to an embodiment of the present invention.
Figure 2 is a block diagram schematically showing a smart insulin pen according to an embodiment of the present invention.
Figure 3 is a block diagram schematically showing a platform server according to an embodiment of the present invention.
Figure 4 is a flowchart schematically showing a method of operating an electronic device according to an embodiment of the present invention.
Figure 5 is a flowchart schematically showing a method of operating a server according to an embodiment of the present invention.
Figure 6 is a flowchart schematically showing a series of operation processes performed between an electronic device, a smart insulin pen, a platform server, and a blood sugar measurement equipment in an embodiment of the present invention.
Figure 7 schematically shows the active insulin ratio by time according to the type of insulin drug in one embodiment of the present invention.

Preferred embodiments of the present invention will be described in more detail with reference to the attached drawings, but technical parts that are already well-known will be omitted or compressed for brevity of explanation.

It should be noted that references herein to “one” or “one” embodiment of the invention do not necessarily refer to the same embodiment, and they refer to at least one.

In the following examples, singular expressions include plural expressions unless the context clearly indicates a different meaning.

In the following embodiments, terms such as include or have mean that the features or components described in the specification exist, and do not exclude in advance the possibility of adding one or more other features or components.

If an embodiment can be implemented differently, a specific process sequence may be performed differently from the described sequence. For example, two processes described in succession may be performed substantially simultaneously, or may be performed in an order opposite to the order in which they are described. That is, each step of the method described herein can be appropriately performed in any order unless otherwise stated in the specification or clearly conflicting from the context.

In the drawings, the sizes of components may be exaggerated or reduced for convenience of explanation. For example, the size and thickness of each component shown in the drawings are shown arbitrarily for convenience of explanation, so the present invention is not necessarily limited to what is shown.

1 is a block diagram schematically showing an electronic device according to an embodiment of the present invention. Referring to FIG. 1 , the electronic device 100 may include a memory 110, a processor 120, a biometric information input unit 130, a device communication unit 140, and a display unit 150. In one embodiment, the memory 110 is a storage means for storing data. The memory 110 may store instructions, software, programs, etc. that can be executed within the electronic device 100.

Non-limiting examples of the memory 110 include flash memory, hard disk, card type memory (for example, SD memory), random access memory (RAM), static random access memory (SRAM), and read-only memory (ROM). Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk, optical disk, etc. Additionally, depending on implementation, the memory 110 may be implemented in the form of a web storage or cloud server that performs a storage function on the Internet.

In one embodiment, the processor 120 is electrically connected to the memory 110 and internal components of the electronic device 100 (e.g., memory 110, biometric information input unit 130, device communication unit 140). , display unit 150) can be controlled. For example, the processor 120 may be applied as a CPU or semiconductor device that executes instructions stored in the memory 110.

In one embodiment, the biometric information input unit 130 is a device that can receive the user's biometric information and can collect the user's biometric information. Non-limiting examples of biometric information include the user's fingerprint information, facial information, blood vessel information, voice information, and iris information. Specifically, the biometric information input unit 130 may be implemented with at least one of a fingerprint recognition sensor, a facial recognition sensor, a blood vessel recognition sensor, a voice recognition sensor, and an iris recognition sensor.

In one embodiment, the device communication unit 140 communicates with the smart insulin pen 200, which will be described later, through at least one communication network (e.g., wireless LAN, Bluetooth, UltraWideBand (UWB), Wireless Personal Area Networks (WPAN), etc.) This can be done, and the display unit 150 can be installed in the electronic device 100 to output audio-visual information. According to one specific example, the device communication unit 140 may receive log data from the smart insulin pen 200 and transmit the log data to the platform server 300. In one embodiment, log data is information about insulin discharged from the smart insulin pen 200. For example, the log data may include information about at least one of the time when insulin was released and the amount of insulin released. According to one embodiment, the control unit 230 of the smart insulin pen 200 may generate log data each time insulin is discharged.

Additionally, in one embodiment, the electronic device 100 may be a smartphone, a tablet PC, an e-book reader, a desktop PC, a laptop PC, a netbook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), an MP3 player, or a mobile medical device. It can be implemented as at least one of a device, a camera, and a wearable device.

In one embodiment, the electronic device 100 may further include an information input unit 160. For example, through the information input unit 160, type information about the type of insulin drug, action time information about the time the insulin drug acts in the body, and maximum blood insulin concentration after the insulin drug is injected into the body. When peak time information, carbohydrate coefficient, correction coefficient, correction target blood sugar level, etc. are input, the processor 120 can control the device communication unit 140 to transmit the corresponding information to the platform server 300. Meanwhile, depending on the implementation, when the blood sugar measurement equipment 400 communicates and is linked with the electronic device 100, the current blood sugar level information measured by the blood sugar measurement equipment 400 may be automatically input into the electronic device 100. there is.

Figure 2 is a block diagram schematically showing a smart insulin pen according to an embodiment of the present invention. Referring to Figure 2, the smart insulin pen 200 may include a pen button unit 210, a pen communication unit 220, a control unit 230, an insulin storage unit 240, and an insulin discharge unit 250.

In one embodiment, the pen button unit 210 may be provided as a button that the user can press with his or her hand. Of course, depending on implementation, the pen button unit 210 can also be implemented in the form of a touch panel that generates an electric signal when touched by hand.

In one embodiment, the pen communication unit 220 may be connected to and communicate with an external device through a communication network (eg, wireless LAN, Bluetooth, UWB, WPAN, etc.). Here, the external device refers to an electronic device 100 (eg, a smartphone) that exists separately from the smart insulin pen 200. The control unit 230 generates log data every time insulin is discharged from the smart insulin pen 200, and the pen communication unit 220 can transmit the log data to the electronic device 100.

In one embodiment, the control unit 230 controls each component of the smart insulin pen 200 (e.g., pen button unit 210, pen communication unit 220, insulin storage unit 240, and insulin discharge unit 250). ) can be controlled.

In one embodiment, the insulin storage unit 240 may be provided in the form of a cartridge having a space for storing insulin medication.

In one embodiment, the insulin discharge unit 250 may discharge the insulin stored in the insulin storage unit 240 to the outside. The insulin discharge unit 250 according to one embodiment may include a pen needle (not shown) and a plunger (not shown). In one embodiment, the pen needle is coupled to one side of the insulin storage unit 240, and the insulin medication in the insulin storage unit 240 may pass through the pen needle and be discharged to the outside.

In one embodiment, the plunger is installed inside the insulin storage unit 240, and the plunger moves in one direction and pressurizes the insulin medication within the insulin storage unit 240 to force the insulin medication to the outside of the insulin storage unit 240. It can be discharged.

In one embodiment, the insulin discharge unit 250 may further include a drive motor (not shown). The drive motor according to one embodiment may be connected to the plunger through a gear structure, and the moving distance of the plunger may be adjusted depending on the rotation speed of the drive motor. For example, when an input signal is generated from the pen button unit 210 after the pen communication unit 220 receives the bolus injection amount information from the electronic device 100, the control unit 230 controls the rotation of the drive motor to control the bolus injection amount information. The moving distance of the plunger can be adjusted so that the amount of insulin injected is released.

Additionally, in one embodiment, the smart insulin pen 200 further includes a pen display (not shown) that outputs insulin injection information such as bolus injection amount and insulin injection time, and a battery (not shown) that supplies power to the drive motor. It can be included.

In another embodiment, the smart insulin pen 200 may further include a dose setting dial (not shown). The capacity setting dial may be connected to the plunger through a gear structure, and the moving distance of the plunger may be adjusted depending on the degree to which the capacity setting dial is rotated. For example, when the bolus injection amount is output on the pen display after the pen communication unit 220 receives the bolus injection amount information from the electronic device 100, the user rotates the dose setting dial to discharge the insulin equivalent to the bolus injection amount. is set, and the pen button unit 210 is pressed to advance the plunger connected to the pen button unit 210 to discharge insulin.

The operation method of the above-described insulin pen is only an example to easily explain the content and scope of the technical idea of the present invention, so the present invention is not limited thereto, and those skilled in the art will Considering the various operating methods of the insulin pen already disclosed in , it can be modified appropriately as needed.

Figure 3 is a block diagram schematically showing a platform server according to an embodiment of the present invention. Referring to Figure 3, the platform server 300 may include a server communication unit 310, a server memory unit 320, and a server control unit 330.

In one embodiment, the server communication unit 310 may receive a blood sugar measurement value from the blood sugar measurement device 400 by communicating with the blood sugar measurement device 400. In one embodiment, the blood sugar measurement equipment 400 may be applied as at least one of a continuous blood sugar meter and a self-blood glucose meter. Additionally, in one embodiment, the server communication unit 310 may communicate with the electronic device 100 to receive log data and setting information from the electronic device 100, and send information about the bolus injection amount to the electronic device 100. Can be transmitted.

In one embodiment, an algorithm that can calculate the bolus injection amount may be stored in the server memory unit 320. The algorithm according to one embodiment can be expressed as Equation 1 below.

[Equation 1]

Bolus dose = A + B - C + D

(Here, A is the insulin injection amount according to the carbohydrate count, B is the insulin injection amount according to the correction coefficient, C is the estimated amount of active insulin remaining in the body, and D is the insulin injection amount according to the blood sugar trend)

A in Equation 1 can be calculated through Equation 2 below.

[Equation 2]

Insulin dose based on carbohydrate count = amount of carbohydrates to eat/carbohydrate count

For example, if a user with a carbohydrate count of 12g/U tries to eat 24g of cookies, the amount of insulin injected according to the carbohydrate count is 2U. In this specification, the carbohydrate coefficient refers to the amount of carbohydrate that can be controlled when administering one unit of insulin. In this specification, U, which expresses the insulin injection amount, refers to an insulin unit, and 1 unit of insulin can be applied as 0.01ml of insulin.

B in Equation 1 can be calculated through Equation 3 below.

[Equation 3]

Insulin injection amount according to correction coefficient = (current blood sugar level - correction target blood sugar level) / correction coefficient

For example, when the user's current blood sugar level is 165 mg/dL, the correction target blood sugar level is 100 mg/dL, and the correction coefficient is 65 mg/dL/U, the insulin injection amount according to the correction coefficient is 1U. In this specification, the correction coefficient refers to the blood sugar level that can be controlled by one unit of insulin.

C in Equation 1 is the estimated amount of active insulin remaining in the body, and the server control unit 330 can calculate the estimated amount of active insulin using data on the active insulin ratio of the insulin drug over time. Here, the active insulin ratio represents the amount of insulin remaining in the body after the insulin drug is injected into the body. When first injected into the body, the active insulin ratio is 1, and when insulin is completely decomposed in the body, the active insulin ratio is 0. It can be expressed as

The active insulin ratio changes from 1 to 0 as time passes after the insulin drug is introduced into the body, and active insulin ratio data for each type of insulin drug can be mapped and pre-stored in the server memory unit 320. Figure 7 shows the active insulin ratio of five types of insulin drugs in graphical form. In Figure 7, the horizontal axis indicates the action time of insulin in minutes, and the vertical axis indicates the active insulin ratio, where an active insulin ratio of 1 means that the content of the insulin drug is 100% by volume.

According to one embodiment, insulin medications may be classified by the action time and peak time information of each insulin and stored in the server memory unit 320. In the present specification, the action time of insulin refers to the time when the insulin administered into the body acts, and the peak time of insulin refers to the time when the concentration of insulin in the blood reaches its maximum.

In one embodiment, data calculating the active insulin ratio for each type of insulin, action time, and peak time information may be stored in the server memory unit 320. For example, the solid line in the graph of Figure 7 can be applied as active insulin ratio data for an insulin product where the type of insulin medication is NovoRapid, the action time of the insulin medication is 300 minutes, and the peak time is set to 75 minutes, but this is just an example. Therefore, it is not limited to the above examples.

In one embodiment, the server control unit 330 can check the injection time of insulin through the received log data and calculate the estimated amount of active insulin remaining in the body. For example, if the current time is 300 minutes from the time of insulin injection, the estimated amount of active insulin can be calculated as 0 in Equation 1.

Meanwhile, in Equation 1, the insulin injection amount according to the blood sugar trend can be derived through trend data mapped to a certain standard. For example, the server memory unit 320 may store trend data that classifies the blood sugar trend into a plurality of stages (e.g., 7 stages) according to the amount of increase or decrease in the blood sugar level and maps a certain insulin injection amount value to each stage. .

According to one embodiment, the blood sugar trend may be subdivided into stage A, stage B, stage C, stage D, stage E, stage F, and stage G. Specifically, if the blood sugar level measured every 30 minutes by the blood sugar measuring device 400 increases from 30 mg/dL or less, it corresponds to stage A, and the blood sugar level measured every 30 minutes exceeds 30 mg/dL to 60 mg/dL. If the blood sugar level increases to below 60 mg/dL, it falls into stage B. If the blood sugar level measured every 30 minutes increases to above 60 mg/dL but below 90 mg/dL, it falls under stage C. If the blood sugar level measured every 30 minutes rises above 90 mg/dL, it falls under stage B. If it increases to a level exceeding dL, it corresponds to stage D, and if the blood sugar level measured every 30 minutes decreases to a level above 30 mg/dL but below 60 mg/dL, it falls into stage E, and if the blood sugar level measured every 30 minutes falls below 60 mg/dL, it falls into stage D. If the blood sugar level decreased to above 90 mg/dL or below /dL, it corresponds to stage F, and if the blood sugar level measured every 30 minutes decreases to above 90 mg/dL, it falls into stage G.

In one embodiment, when the blood sugar trend is at stage A, trend data mapped to the insulin injection amount according to the blood sugar trend as 0 may be stored in the server memory unit 320.

Meanwhile, the user's blood sugar trend may be input through the information input unit 160 of the electronic device 100, and the setting information transmitted from the electronic device 100 to the platform server 300 may also include information about the blood sugar trend. there is. For example, if the information about the blood sugar trend input through the information input unit 160 is level A, the server control unit 330 checks the received setting information and checks the trend data stored in the server memory unit 320. 0 can be substituted for the D value in Equation 1.

In one embodiment, the server control unit 330 may calculate the bolus injection amount using the algorithm of Equation 1.

A method of operating an electronic device according to an embodiment of the present invention will be described according to the flowchart shown in FIG. 4, but will be explained in order for convenience.

1. App execution step <S401>

In this step, the processor 120 of the electronic device 100 may execute an application for controlling a smart insulin pen.

2. Connection step<S402>

In this step, the device communication unit 140 of the electronic device 100 searches for the smart insulin pen 200, and pairing may be performed between the searched smart insulin pen 200 and the electronic device 100. In one embodiment, pairing between the smart insulin pen 200 and the electronic device 100 may be performed using Bluetooth.

3. Log reception step<S403>

In this step, the device communication unit 140 may receive log data from the smart insulin pen 200. Log data according to one embodiment may include information on the time when insulin was discharged and the amount of insulin discharged. In this step, log data can be received from the smart insulin pen 200 through a short-range communication method (eg, Bluetooth).

4. Log transmission step<S404>

In this step, the device communication unit 140 may transmit the log data received in step S403 to the platform server 300. According to one embodiment, the device communication unit 140 may transmit log data to the platform server 300 through a long-distance communication method (eg, a mobile communication network, a wireless broadband (WiBro) network, a satellite communication network, etc.).

5. Setting information transfer step <S405>

In this step, the device communication unit 140 may transmit the setting information input by the information input unit 160 to the platform server 300. In one embodiment, the setting information includes type information about the type of insulin drug, action time information about the time the insulin drug acts in the body, and a peak about the time when the blood insulin concentration reaches its maximum after the insulin drug is injected into the body. At least one of time information, carbohydrate count, correction coefficient, correction target blood sugar level, amount of carbohydrate to eat, blood sugar measurement value, and blood sugar trend may be included.

6. Injection amount recommendation step <S406>

In this step, the device communication unit 140 receives the bolus injection amount calculated by the platform server 300, so that the bolus injection amount can be recommended from the platform server 300.

7. Injection information transmission step <S407>

In this step, the processor 120 of the electronic device 100 may control the device communication unit 140 to transmit bolus injection amount information to the smart insulin pen 200. Specifically, the processor 120 may transmit bolus injection amount information through short-distance communication so that the smart insulin pen 200 can discharge insulin equal to the bolus injection amount recommended in step S406.

Meanwhile, the smart insulin pen control method according to one embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The above-described computer-readable medium may include program instructions, data files, data structures, etc., singly or in combination. The program instructions recorded in the above-described computer-readable medium may be specially designed and configured for various embodiments of the present invention, or may be known and usable by those skilled in the computer software art. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. -May include magneto-optical media and specially configured hardware devices to store and execute program instructions, such as ROM, RAM, flash memory, etc. Examples of program instructions may include machine language code such as that created by a compiler, as well as high-level language code that can be executed by a computer using an interpreter, etc.

The operating method of the platform server according to an embodiment of the present invention will be described according to the flowchart shown in FIG. 5, but will be explained in order for convenience.

1. Blood sugar information receiving step <S501>

In this step, the server communication unit 310 may receive a blood sugar measurement value from the blood sugar measurement device 400. In one embodiment, the server communication unit 310 may continuously receive blood sugar measurement values at regular intervals.

2. Log data reception step <S502>

In this step, the server communication unit 310 may receive log data from the electronic device 100. In one embodiment, the server communication unit 310 may receive log data through a long-distance communication method.

3. Setting information reception step <S503>

In this step, the server communication unit 310 may receive setting information from the electronic device 100. According to one embodiment, the server communication unit 310 may be connected to the device communication unit 140 through a long-distance communication method. And, depending on implementation, this step may be performed simultaneously with step S502 or may be performed before step S502.

4. Injection volume calculation step <S504>

In this step, the server control unit 330 may calculate the bolus injection amount using an algorithm previously stored in the server memory unit 320.

5. Injection amount information transmission step <S505>

In this step, the server communication unit 310 may transmit information about the bolus injection amount calculated in step S504 to the electronic device 100.

Figure 6 is a flowchart schematically showing a series of operation processes performed between an electronic device, a smart insulin pen, a platform server, and a blood sugar measurement equipment in an embodiment of the present invention. The smart insulin pen control method according to an embodiment of the present invention will be described according to the flowchart shown in FIG. 6, but will be explained in order for convenience, and descriptions that overlap with the above will be omitted or briefly explained.

1. Blood sugar measurement transmission step <S601>

In this step, the user's current blood sugar measurement measured by the blood sugar measurement device 400 can be transmitted to the platform server 300. Of course, depending on implementation, the blood sugar measurement equipment 400 may transmit the current blood sugar level to the electronic device 100 during this step.

2. Blood sugar information receiving step <S602>

In this step, the server communication unit 310 may receive current blood sugar information (for example, 165 mg/dL) from the blood sugar measurement device 400.

3. App execution step <S603>

In this step, the processor 120 of the electronic device 100 may execute an application for controlling a smart insulin pen.

4. Connection step<S604>

In this step, the device communication unit 140 of the electronic device 100 searches for the smart insulin pen 200 through a short-range communication method (for example, Bluetooth), and establishes a connection between the searched smart insulin pen 200 and the electronic device 100. Pairing can occur.

5. Log transmission step<S605>

In this step, the pen communication unit 220 of the smart insulin pen 200 may transmit log data to the electronic device 100.

6. Log reception step<S606>

In this step, the device communication unit 140 of the electronic device 100 may receive log data.

7. Log transmission step<S607>

In this step, the device communication unit 140 of the electronic device 100 may transmit log data to the platform server 300.

8. Log data reception step <S608>

In this step, the server communication unit 310 of the platform server 300 may receive log data. The received log data may be stored in the server memory unit 320.

9. Setting information transfer step <S609>

In this step, the device communication unit 140 of the electronic device 100 may transmit setting information to the platform server 300. For example, the setting information transmitted to the platform server 300 includes type information about the type of insulin drug (e.g., NovoRapid), action time information about the time the insulin drug acts in the body (e.g., 300 minutes) ), peak time information about the point at which the blood insulin concentration reaches its maximum after the insulin drug is injected into the body (e.g., 75 minutes), carbohydrate coefficient (e.g., 12 g/U), correction coefficient (e.g., 65 mg) /dL/U), correction target blood sugar level (e.g., 100 mg/dL), blood sugar trend (e.g., stage A), current blood sugar level (e.g., 165 mg/dL), amount of carbohydrates to eat (e.g., 24 g), etc. may be included.

10. Setting information reception step <S610>

In this step, the server communication unit 310 of the platform server 300 may receive setting information transmitted from the electronic device 100. The received setting information may be stored in the server memory unit 320.

11. Injection amount calculation step <S611>

In this step, the server control unit 330 of the platform server 300 may calculate the bolus injection amount using an algorithm pre-stored in the server memory unit 320.

A specific example of the process of calculating the bolus injection amount is as follows. First, the A value in Equation 1 is calculated through Equation 2, and the server control unit 330 uses the carbohydrate coefficient information and the amount of carbohydrates to eat included in the setting information to derive the A value to be entered in Equation 1 as 2U. can do.

The B value in Equation 1 is calculated through Equation 3, and the server control unit 330 uses the current blood sugar level, correction target blood sugar level, and correction coefficient information included in the setting information to derive the B value to be entered in Equation 1 as 1U. can do.

In addition, the server control unit 330 includes information on the type of insulin drug (e.g., Novo Rapid), information on the action time of the insulin drug (e.g., 300 minutes), and peak time information (e.g., 75 minutes) included in the setting information. Check, retrieve the active insulin ratio data of the corresponding insulin product from the server memory unit 320, and check the insulin injection time of the log data received in step S610. If the current time is 300 minutes from the insulin injection time, If the y value corresponding to 300 minutes is checked in the retrieved active insulin ratio data, and the active insulin ratio value corresponding to 300 minutes is 0, the C value in Equation 1 can be calculated as 0.

In addition, the server control unit 330 checks the blood sugar trend information included in the setting information, and if the blood sugar trend information is level A, the server control unit 330 searches the trend data stored in the server memory unit 320 and determines that the D value in Equation 1 is 0. It can be calculated.

Accordingly, the server control unit 330 can derive the bolus injection amount to be 3U using the algorithm of Equation 1.

12. Injection amount information transmission step <S612>

In this step, the server communication unit 310 may transmit the bolus injection amount to the electronic device 100.

13. Injection amount recommendation step <S613>

In this step, the device communication unit 140 receives the bolus injection amount calculated by the platform server 300, so that the bolus injection amount can be recommended.

14. Injection information transmission step <S614>

In this step, the processor 120 of the electronic device 100 sends the smart insulin pen 200 to the smart insulin pen 200 through short-distance communication so that the smart insulin pen 200 can discharge insulin according to the bolus injection amount recommended by the platform server 300. Bolus injection amount information can be transmitted.

15. Insulin release step <S615>

In this step, the control unit 230 can discharge insulin to the outside by controlling the operation of the insulin discharge unit 250 so that insulin is discharged as much as the recommended bolus injection amount.

16. Injection status information transmission step <S616>

If insulin discharge has started and is in progress in step S615, the control unit 230 generates infusion status information indicating that insulin has been discharged from the insulin storage unit 240 and is being injected into the body, and the pen communication unit 220 ) can transmit status information during injection to the electronic device 100.

17. Injection completion information transmission step <S617>

When insulin discharge is completely completed, in this step, the control unit 230 generates injection completion information indicating that insulin discharge has been completed, and transmits the injection completion information to the electronic device 100 through the pen communication unit 220. .

As described above, according to various embodiments of the present invention, drug information about newly released insulin drugs is reflected in the algorithm of the platform server 300, and the platform server 300 generates the smart insulin pen 200. Log data and setting information generated by the electronic device 100 may be collected, the bolus injection amount may be automatically calculated, and the information may be transmitted to the electronic device 100. Therefore, the user can easily determine the bolus injection amount without having to directly calculate the bolus injection amount using the current blood sugar level, the amount of carbohydrates to eat, and the amount of insulin currently remaining in the body, and efficient blood sugar management is possible because accurate insulin injection is possible. .

In addition, according to various embodiments of the present invention, the bolus injection amount can be calculated by reflecting the latest drug information without periodically updating the firmware (or application) of the user terminal (for example, a smartphone), and the smart insulin pen By accurately determining the amount of insulin injected from the system, it can be reflected when calculating the bolus injection amount.

And, according to various embodiments of the present invention, as the bolus injection amount is calculated by the platform server 300, which stores various drug-specific algorithms including the latest drug information, a program for calculating the bolus injection amount is installed in the user terminal. You can easily check the bolus injection amount without having to do so, and the continuous installation, management, or upgrade of the software can be omitted, improving convenience of use.

Additionally, according to various embodiments of the present invention, since the electronic device 100 and the smart insulin pen 200 are connected by a short-distance communication method, the threat of hacking can be reduced and security can be strengthened compared to a long-distance communication method.

In addition, according to various embodiments of the present invention, the bolus injection amount is determined by not only considering the recent trend of changes in blood sugar levels measured at regular intervals, but also using active insulin ratio data calculated for each type of insulin, action time, and peak time information. Since it can be calculated, more accurate injection is possible.

In addition, according to various embodiments of the present invention, rapid data linkage is possible between the blood glucose measurement equipment 400, platform server 300, electronic device 100, and smart insulin pen 200, and has the advantage of excellent scalability. there is.

As described above, the specific description of the present invention has been made by way of examples with reference to the accompanying drawings, but since the above-described embodiments are only explained by referring to preferred examples of the present invention, the present invention is limited to the above-described embodiments. It should not be understood as being possible, and the scope of rights of the present invention should be understood in terms of the claims described later and their equivalent concepts.

100: electronic device
110: memory
120: processor
130: Biometric information input unit
140: device communication unit
150: display unit
160: information input unit
200: Smart insulin pen
210: pen button part
220: Pen Communications Department
230: control unit
240: Insulin storage unit
250: Insulin discharge unit
300: platform server
310: Server communication department
320: Server memory unit
330: Server control unit
400: Blood sugar measuring equipment

Claims (12)

A platform-based smart insulin pen control method implemented by an electronic device including a memory and a processor electrically connected to the memory,
A log receiving step of receiving log data from the smart insulin pen;
A log transmission step of transmitting the log data to the platform;
A setting information transmission step of transmitting setting information input to the electronic device to the platform; and
An injection amount recommendation step in which the bolus injection amount calculated by the platform is recommended by the device communication unit of the electronic device, and the bolus injection amount is recommended by the platform,
The bolus injection amount is calculated by subtracting the estimated amount of active insulin remaining in the body from the total of the insulin injection amount according to the carbohydrate coefficient, the insulin injection amount according to the correction coefficient, and the insulin injection amount according to the blood sugar trend,
The insulin injection amount according to the blood sugar trend is derived using trend data that is classified into a plurality of stages according to the increase or decrease in blood glucose measurements and maps a constant insulin injection amount value for each stage,
The blood sugar trend is subdivided into stage A, stage B, stage C, stage D, stage E, stage F and stage G, and if the blood sugar level measured every 30 minutes by blood sugar measuring equipment increases from 30 mg/dL or less, If you fall into stage A, and the blood sugar level measured every 30 minutes increases to above 30 mg/dL but below 60 mg/dL, you fall under stage B above, and your blood sugar level measured every 30 minutes rises above 60 mg/dL to 90 mg/dL. If the level increases below /dL, it corresponds to stage C above, and if the blood sugar level measured every 30 minutes increases to above 90mg/dL, it falls into stage D above, and if the blood sugar level measured every 30 minutes exceeds 30mg/dL If the blood sugar level decreased to above 60mg/dL but below 60mg/dL, it corresponds to stage E above, and if the blood sugar level measured every 30 minutes decreases to above 60mg/dL to below 90mg/dL, it falls into stage F above, and every 30 minutes. If the measured blood sugar level decreases to a level exceeding 90 mg/dL, it is characterized as falling into the above G stage.
Platform-based smart insulin pen control method. According to paragraph 1,
The log data is characterized in that it is information about insulin discharged from the smart insulin pen.
Platform-based smart insulin pen control method. According to paragraph 1,
The setting information includes type information about the type of insulin drug, action time information about the time the insulin drug acts in the body, and peak time information about the point at which the blood insulin concentration reaches its maximum after the insulin drug is injected into the body. Characterized by including
Platform-based smart insulin pen control method. According to paragraph 1,
In the log reception step, log data is received from the smart insulin pen through short-distance communication.
Platform-based smart insulin pen control method. According to paragraph 1,
The platform-based smart insulin pen control method is
Characterized in that it further comprises an injection information transmission step of transmitting bolus injection amount information to the smart insulin pen through short-distance communication.
Platform-based smart insulin pen control method. A computer-readable recording medium on which a program for performing the method according to any one of claims 1 to 5 is recorded. A platform-based smart insulin pen control method implemented by a server,
A blood sugar information receiving step of receiving a blood sugar measurement value from a blood sugar measuring device;
A log data receiving step of receiving log data from an electronic device;
A setting information receiving step of receiving setting information from the electronic device;
An injection amount calculation step of calculating the bolus injection amount to be injected by the smart insulin pen using a pre-stored algorithm; and
Including an injection amount information transmission step of transmitting information about the calculated bolus injection amount to the electronic device,
In the injection amount calculation step, the bolus injection amount is calculated by subtracting the estimated amount of active insulin remaining in the body from the total of the insulin injection amount according to the carbohydrate coefficient, the insulin injection amount according to the correction coefficient, and the insulin injection amount according to the blood sugar trend,
In the injection amount calculation step, the insulin injection amount according to the blood sugar trend is derived using trend data that is classified into a plurality of stages according to the increase or decrease in the blood sugar measurement value and maps a constant insulin injection amount value for each stage,
The blood sugar trend is subdivided into stage A, stage B, stage C, stage D, stage E, stage F and stage G, and when the blood sugar level measured every 30 minutes by the blood sugar measuring equipment increases from the level of 30 mg/dL or less. It corresponds to stage A, and if the blood sugar level measured every 30 minutes increases to above 30 mg/dL to below 60 mg/dL, it falls under stage B, and the blood sugar level measured every 30 minutes exceeds 60 mg/dL. If the blood sugar level increased to 90 mg/dL or less, it corresponds to stage C above. If the blood sugar level measured every 30 minutes increases to a level exceeding 90 mg/dL, it falls into stage D, and if the blood sugar level measured every 30 minutes is 30 mg/dL. If the blood sugar level decreased from more than 60 mg/dL to less than 60 mg/dL, it falls into stage E above. If the blood sugar level measured every 30 minutes decreases from more than 60 mg/dL to less than 90 mg/dL, it falls into stage F above. If the blood sugar level measured each time decreases to a level exceeding 90 mg/dL, it corresponds to the above G stage.
Platform-based smart insulin pen control method. In clause 7,
The log data is characterized in that it is information about insulin discharged from the smart insulin pen.
Platform-based smart insulin pen control method. In clause 7,
The setting information includes type information about the type of insulin drug, action time information about the time the insulin drug acts in the body, and peak time information about the point at which the blood insulin concentration reaches its maximum after the insulin drug is injected into the body. Characterized by including
Platform-based smart insulin pen control method. delete In clause 7,
In the injection amount calculation step, active insulin data classified according to the type of insulin drug, action time, and peak time information are used, and the injection time of insulin included in the log data is checked to determine the estimated amount of active insulin remaining in the body. Characterized by deriving
Platform-based smart insulin pen control method. A computer-readable recording medium on which a program for performing the method according to any one of claims 7, 8, 9, and 11 is recorded.

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