Wearable electronic device for acquiring calibration data related to blood glucose values, operating method thereof, and storage medium

Abstract

According to one embodiment, a wearable electronic device comprises a first sensor, at least one second sensor, a memory, a display, a communication circuit and at least one processor, wherein the memory can store instructions that, when executed by the at least one processor, cause the wearable electronic device to: identify, on the basis of a first sensing value identified through the at least one second sensor, a first time point so as to measure first blood glucose data of a user wearing the wearable electronic device; use an external device at the first time point so as to display, through the display, first guide information for allowing the blood glucose of the user to be measured; measure, through the first sensor, a second sensing value indicating a first biometric signal of the user at the first time point; acquire, through the communication circuit, information indicating a first blood glucose value of the user measured at the first time point by the external device; and acquire, on the basis of the first blood glucose value and a second sensing value indicating the first biometric signal, calibration data for determining a blood glucose value of the user on the basis of sensing values indicating biometric signals of the user to be measured using the first sensor.

Description

Wearable electronic device for obtaining calibration data related to blood sugar level, method of operation thereof, and storage medium

[0001] Embodiments of the present disclosure relate to a wearable electronic device for obtaining calibration data related to blood sugar levels, a method of operating the same, and a storage medium.

[0002] Today, improved living conditions have led to a rise in adult diseases, leading people to be more health-conscious than ever before. In particular, the number of diabetes patients is on the rise. Diabetics must regularly monitor their blood sugar levels, monitor their condition, and take appropriate action.

[0003] Currently, one of the medical devices used to measure blood sugar is the blood glucose meter. This device inserts a needle under the user's skin to draw blood, and then measures blood sugar levels using the collected blood. However, this method can be painful for patients during the blood draw. This has led to patients avoiding or avoiding blood sugar testing, which prevents them from checking their blood sugar levels frequently, hindering proper blood sugar management.

[0004] The above information may be provided as background art to aid in understanding the present disclosure. No claim or determination is made as to whether any of the above is applicable as prior art related to the present disclosure.

[0005] According to one embodiment, a wearable electronic device may include a first sensor, at least one second sensor, a memory, a display, a communication circuit, and at least one processor.

[0006] According to one embodiment, the memory may store instructions that, when executed by the at least one processor, cause the wearable electronic device to determine a first time point to measure first blood sugar data of a user wearing the wearable electronic device based on a first sensing value determined through the at least one second sensor.

[0007] According to one embodiment, the memory may store instructions that, when executed by the at least one processor, cause the wearable electronic device to display, through the display, first guide information for measuring the user's blood sugar using an external device at the first time.

[0008] According to one embodiment, the memory may store instructions that, when executed by the at least one processor, cause the wearable electronic device to measure, through the first sensor, a second sensing value representing a first biosignal of the user at the first point in time.

[0009] According to one embodiment, the memory may store instructions that, when executed by the at least one processor, cause the wearable electronic device to obtain, through the communication circuit, information representing the user's first blood sugar value measured at the first point in time by the external device.

[0010] According to one embodiment, the memory may store instructions that, when executed by the at least one processor, cause the wearable electronic device to obtain the calibration data for determining a blood sugar level of the user based on a sensing value representing a biosignal value of the user measured using the first sensor, based on the second sensing value representing the first biosignal and the first blood sugar level.

[0011] According to one embodiment, a method of operating a wearable electronic device may include an operation of determining a first time point to measure first blood sugar data of a user wearing the wearable electronic device to obtain calibration data based on a first sensing value determined through at least one second sensor included in the wearable electronic device.

[0012] According to one embodiment, a method of operating a wearable electronic device may include an operation of displaying first guide information for measuring blood sugar of the user using an external device at the first time point through a display included in the wearable electronic device.

[0013] According to one embodiment, a method of operating a wearable electronic device may include an operation of measuring a second sensing value representing a first biosignal of the user at the first point in time through a first sensor included in the wearable electronic device.

[0014] According to one embodiment, a method of operating a wearable electronic device may include an operation of obtaining information representing a first blood sugar level of the user measured at the first point in time by the external device through a communication circuit included in the wearable electronic device.

[0015] According to one embodiment, a method of operating a wearable electronic device may include an operation of obtaining calibration data for determining a blood sugar level of the user based on a sensing value representing a biosignal of the user to be measured using the first sensor, based on the second sensing value representing the first biosignal and the first blood sugar level.

[0016] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of a wearable electronic device, cause the wearable electronic device to perform at least one operation, wherein the at least one operation may include an operation of determining a first time point to measure first blood sugar data of a user wearing the wearable electronic device to obtain calibration data based on a first sensing value determined through at least one second sensor included in the wearable electronic device.

[0017] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of a wearable electronic device, cause the wearable electronic device to perform at least one operation, wherein the at least one operation may include an operation of displaying, through a display included in the wearable electronic device, first guide information for measuring the user's blood sugar level using an external device at the first time point.

[0018] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of a wearable electronic device, cause the wearable electronic device to perform at least one operation, wherein the at least one operation may include measuring, through a first sensor included in the wearable electronic device, a second sensing value representing a first biosignal of the user at the first time.

[0019] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of a wearable electronic device, cause the wearable electronic device to perform at least one operation, wherein the at least one operation may include an operation of obtaining information representing a first blood sugar level of the user measured at the first point in time by the external device through a communication circuit included in the wearable electronic device.

[0020] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of a wearable electronic device, cause the wearable electronic device to perform at least one operation, wherein the at least one operation may include an operation of obtaining calibration data for determining a blood glucose value of a user based on a sensed value representing a biosignal of the user to be measured using the first sensor, based on a second sensed value representing the first biosignal and the first blood glucose value.

[0021] FIG. 1 is a block diagram of an electronic device within a network environment according to various embodiments.

[0022] FIG. 2 is a schematic block diagram of a system including a wearable electronic device and an external device according to one embodiment.

[0023] FIG. 3 is a flowchart illustrating an operation of a wearable electronic device according to one embodiment to acquire calibration data.

[0024] FIG. 4 is a flowchart illustrating an operation for determining a time point for measuring blood sugar data based on a meal event by a wearable electronic device according to one embodiment.

[0025] FIG. 5 is a flowchart illustrating an operation for determining a time point for measuring blood sugar data based on a meal event by a wearable electronic device according to one embodiment.

[0026] FIG. 6 is a flowchart illustrating an operation for determining a time point for measuring blood sugar data based on an exercise event by a wearable electronic device according to one embodiment.

[0027] FIG. 7 is a flowchart illustrating an operation of a wearable electronic device according to one embodiment of the present invention to determine a time point for measuring blood sugar data based on a weather event.

[0028] FIG. 8 is a flowchart illustrating an operation of a wearable electronic device according to one embodiment to acquire calibration data.

[0029] FIG. 9A is a flowchart illustrating an operation of a wearable electronic device according to one embodiment of the present invention to determine a blood sugar level based on a sensing value measured through a first sensor using calibration data.

[0030] FIG. 9b is a flowchart illustrating an operation of a wearable electronic device according to one embodiment to update calibration data.

[0031] FIG. 10 is a diagram showing information about blood sugar levels measured by an external device according to one embodiment.

[0032] FIG. 11 is a diagram illustrating an operation of a wearable electronic device according to one embodiment to obtain calibration data.

[0033] FIG. 12 is a diagram showing information on blood sugar values ​​measured by an external device implemented as a continuous blood sugar monitoring system according to one embodiment.

[0034] FIG. 13 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment executes a function of acquiring calibration data.

[0035] FIG. 14 is a diagram showing a screen displayed through a display when a wearable electronic device according to one embodiment checks a weather event.

[0036] FIG. 15 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment confirms a meal event.

[0037] FIG. 16 is a diagram showing a screen displayed through a display when a wearable electronic device according to one embodiment confirms an exercise event.

[0038] FIG. 17 is a diagram illustrating a screen displayed through a display when a wearable electronic device according to one embodiment determines that additional blood sugar data is required.

[0039] FIG. 18 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment ends a function of acquiring calibration data.

[0040] FIG. 19 is a drawing showing a screen on which a wearable electronic device according to one embodiment displays calibration data.

[0041] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments. Referring to FIG. 1, in the network environment (100), the electronic device (101) may communicate with the electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of the electronic device (104) or the server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0042] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0043] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, in the electronic device (101) itself where artificial intelligence is performed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0044] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0045] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0046] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0047] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0048] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. According to one embodiment, the display module (160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0049] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0050] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0051] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0052] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0053] The haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0054] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0055] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

[0056] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0057] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0058] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0059] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device via the at least one selected antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0060] In one embodiment, the antenna module (197) may generate a mmWave antenna module. In one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0061] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0062] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In one embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0063] FIG. 2 is a schematic block diagram of a system including a wearable electronic device and an external device according to one embodiment.

[0064] Referring to FIG. 2, the system (200) may include a wearable electronic device (201) and an external device (202).

[0065] According to one embodiment, the external device (202) may include a device for measuring the user's blood sugar level in an invasive manner. For example, the external device (202) may be implemented as a self-monitoring blood glucometer (SMBG) or a continuous glucose monitoring system (CGMS) device. According to one embodiment, the wearable electronic device (201) may be implemented as a wearable electronic device that can be worn on the user's body (e.g., wrist). According to one embodiment, the wearable electronic device (201) may include a sensor (e.g., a first sensor (211)) for measuring a sensing value representing the user's biosignal in a non-invasive manner.

[0066] According to one embodiment, the external device (202) can obtain a blood sugar level by collecting blood from the user's skin. According to one embodiment, the wearable electronic device (201) can obtain a blood sugar level by irradiating light to the user's skin using the first sensor (211) and measuring the light reflected from the skin. According to one embodiment, the blood sugar level based on the sensing value measured by the first sensor (211) of the wearable electronic device (201) may be less accurate than the blood sugar level measured by the external device (202) because the amount of light reflected from the skin may vary depending on the skin color of the user. Although the method of measuring the user's blood sugar level in an invasive manner using the external device (202) may be more accurate than the method of measuring the user's blood sugar level in a non-invasive manner, it may cause pain to the user. To solve this problem, according to one embodiment, the wearable electronic device (201) can obtain calibration data for estimating a blood sugar level based on a sensing value representing a user's bio-signal obtained through the first sensor (211). The calibration data can be obtained based on a blood sugar level obtained from an external device (202) and a sensing value representing a bio-signal measured through the first sensor (211) included in the wearable electronic device (201). According to one embodiment, the wearable electronic device (201) can use the calibration data to determine a blood sugar level corresponding to the sensing value obtained through the first sensor (211) as the user's blood sugar level. Through this, the wearable electronic device (201) can provide an accurate blood sugar level to the user.

[0067] According to one embodiment, the wearable electronic device (201) may include a first sensor (211) (e.g., the sensor module (176) of FIG. 1), at least one second sensor (212) (e.g., the sensor module (176) of FIG. 1), a memory (210) (e.g., the memory (130) of FIG. 1), a processor (220) (e.g., the processor (120) of FIG. 1), a display (260) (e.g., the display module (160) of FIG. 1), and a communication circuit (290) (e.g., the communication module (190) of FIG. 1). According to one embodiment, the wearable electronic device (201) may be implemented in the same or similar manner as the electronic device (101) of FIG. 1. However, this is merely an example, and the wearable electronic device (201) may be implemented as various devices.

[0068] According to one embodiment, the processor (220) can control the overall operation of the wearable electronic device (201). According to one embodiment, the processor (220) can be implemented identically or similarly to the processor (120) of FIG. 1.

[0069] According to one embodiment, the memory (210) can store instructions that cause the wearable electronic device (201) to perform operations.

[0070] According to one embodiment, the first sensor (211) may include a sensor that measures a sensing value representing a biosignal of a user wearing the wearable electronic device (201). According to one embodiment, the first sensor (211) may include an optical sensor. For example, the processor (220) may irradiate light output from a light emitting unit included in the first sensor (211) onto the user's body and obtain light reflected from the user's body through a light receiving unit included in the first sensor (211). The processor (220) may measure a sensing value representing the user's biosignal using the obtained reflected light. According to one embodiment, the first sensor (211) may also include an electrode sensor. For example, the processor (220) may measure a sensing value representing the user's biosignal based on a current value generated by applying a voltage to the first sensor (211). However, this is an example, and the sensor that measures the sensing value representing the user's biosignal may be implemented with various sensors.

[0071] In one embodiment, at least one second sensor (212) may include an acceleration sensor, a proximity sensor, or a gyro sensor. In one embodiment, at least one second sensor (212) may include a photoplethysmogram (PPG) sensor. However, this is merely an example, and at least one second sensor (212) may be implemented using various sensors.

[0072] According to one embodiment, the processor (220) may execute a function to obtain calibration data. For example, the processor (220) may execute an application of the wearable electronic device (201) that may execute a function for obtaining calibration data. According to one embodiment, the calibration data may include a calibration curve representing a relationship between at least one blood sugar value of the user measured by the external device (202) and a sensing value representing at least one biosignal of the user measured through the first sensor (211). For example, the calibration curve may include a functional equation between at least one blood sugar value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal value of the user measured through the first sensor (211). The calibration curve may be implemented as an n-th order function (n is a natural number greater than or equal to 1).

[0073] Below, an operation of a processor (220) according to one embodiment to obtain calibration data is described.

[0074] According to one embodiment, the processor (220) may obtain a sensing value through at least one second sensor (212). For example, the processor (220) may obtain a sensing value indicating at least one of the user's movement, heart rate, oxygen saturation, stress, or blood pressure through at least one second sensor (212).

[0075] According to one embodiment, the processor (220) may determine a time point for measuring blood sugar data of a user wearing the wearable electronic device (201) based on the sensed value. For example, the blood sugar data may include a blood sugar value measured by the first sensor (211) and a blood sugar value measured by the external device (202) at the determined time point. For example, the processor (220) may determine whether the user is in a stable state based on the sensed value. If the processor (220) determines that the user is in a stable state, the processor (220) may determine a time point for measuring blood sugar data of the user wearing the wearable electronic device (201) based on the sensed value.

[0076] According to one embodiment, the processor (220) may determine, based on the sensing value, whether at least one of a wake-up event indicating that the user has woken up, a meal event indicating that the user is eating, or an exercise event indicating that the user is exercising is identified.

[0077] In one embodiment, the processor (220) may determine a time point for measuring blood glucose data based on at least one of a weather event, a meal event, or an exercise event. For example, the time point for measuring blood glucose data may include a time point for measuring the user's highest blood glucose value, lowest blood glucose value, or median blood glucose value.

[0078] In one embodiment, the processor (220) may determine that a weather event has occurred if the sensing value falls within a specified range corresponding to the weather event. In one embodiment, the processor (220) may determine the time at which the weather event is determined as the time at which the user's blood sugar data is measured.

[0079] According to one embodiment, the processor (220) may determine that a meal event has occurred if the sensing value falls within a specified range corresponding to a meal event. For example, the processor (220) may determine a meal event based on a sensing value indicating the user's movement. For example, the processor (220) may analyze the sensing value indicating the user's movement using an artificial intelligence model stored in the memory (210) to determine a meal event. The artificial intelligence model may include a temporal convolution net (TCN), a decision tree (DT), and a k-nearest neighbor (KNN). For example, the processor (220) may determine a meal event based on a voice signal acquired through a microphone included in the wearable electronic device (201). In this case, the processor (220) may further consider a voice signal acquired from an external electronic device that can be worn on the user's ear to determine a meal event.

[0080] In one embodiment, the processor (220) may determine a time point, a specified first hour after the meal event is confirmed, as the time point for measuring the user's blood sugar data. The specified first hour may include the time point at which the maximum blood sugar level is obtained. For example, the specified first hour may include one hour. The specified first hour may be set by the user or automatically by the processor (220).

[0081] For example, the processor (220) may determine a time point, a specified second period of time after the meal event is confirmed, as the time point for measuring the user's blood sugar data. The specified second period of time may include the time at which the median blood sugar value is obtained. For example, the specified second period of time may include two hours. The specified second period of time may be set by the user or automatically by the processor (220).

[0082] For example, the processor (220) may determine a time point of three specified hours after the meal event is confirmed as the time point for measuring the user's blood sugar data. The specified third hour may include the time point at which the lowest blood sugar value (e.g., fasting blood sugar value) is obtained. For example, the specified third hour may include eight hours. The specified third hour may be set by the user or automatically by the processor (220).

[0083] In one embodiment, the processor (220) may determine that an exercise event has occurred if the sensing value falls within a specified range corresponding to an exercise event. For example, the processor (220) may determine the point in time at which an exercise event is identified as the point in time at which the user's blood sugar data is measured.

[0084] According to one embodiment, the processor (220) may determine a time point for measuring the user's blood glucose data based on blood glucose values ​​obtained from an external device (202) implemented as a continuous glucose monitoring system (CGMS) device. According to one embodiment, the processor (220) may obtain blood glucose values ​​measured by the external device (202) for a specified period of time via the communication circuit (290). According to one embodiment, the processor (220) may determine that a meal event has occurred if it is determined that the amount of change in the blood glucose values ​​for the specified period of time is greater than a specified value. For example, the processor (220) may determine that a meal event has occurred and that the user's blood glucose value has increased if it is determined that the amount of change in the blood glucose values ​​for the specified period of time is greater than a specified value. For example, the amount of change in the blood glucose values ​​for the specified period of time may include a value of approximately 1.5 mg / dl per minute. For example, the specified value may be set by the user or may be automatically set by the processor (220).

[0085] According to one embodiment, the processor (220) may display, via the display (260), guide information to measure the user's blood sugar level at a time determined to be the time to measure the user's blood sugar level using an external device (202). According to one embodiment, the processor (220) may also output the guide information in voice.

[0086] According to one embodiment, the processor (220) can measure a sensing value representing the user's biosignal at a time determined as the time of measuring the user's blood sugar data through the first sensor (211).

[0087] According to one embodiment, the external device (202) can measure the user's blood sugar level at a time determined as the time for measuring the user's blood sugar data. According to one embodiment, the processor (220) can obtain, through the communication circuit (290), information indicating the user's blood sugar level measured at a time determined as the time for measuring the user's blood sugar data by the external device (202). According to one embodiment, the processor (220) can also obtain information indicating the user's blood sugar level based on the user's input.

[0088] According to one embodiment, the processor (220) may obtain calibration data based on a sensing value representing a biosignal measured by the first sensor (211) at a time determined to be the time for measuring the user's blood sugar data and a blood sugar value measured by the external device (202). According to one embodiment, the processor (220) may obtain a plurality of sensing values ​​representing a plurality of blood sugar values ​​and biosignals in order to increase the reliability of the calibration data.

[0089] According to one embodiment, the processor (220) can check a sensing value representing a first biosignal measured at a first point in time through the first sensor (211) and check a first blood sugar value measured at the first point in time by the external device (202). The processor (220) can check a sensing value representing a second biosignal measured at a second point in time different from the first point in time through the first sensor (211) and check a second blood sugar value measured at the second point in time by the external device (202).

[0090] According to one embodiment, the processor (220) may determine a third time point to measure the user's blood sugar level, which is different from the first and second time points, based on the first and second blood sugar levels. For example, the processor (220) may compare the first and second blood sugar levels. If the difference between the first and second blood sugar levels is determined to be greater than a designated value, the processor (220) may determine a third time point to acquire additional blood sugar levels for acquiring calibration data. For example, the designated value may include the difference between two adjacent blood sugar levels measured by an external device (202) for acquiring a calibration curve. For example, the designated value may represent approximately 50 mg / dl. For example, the designated value may be set by the user or automatically set by the processor (220).

[0091] In one embodiment, the processor (220) may determine a third time point for measuring a blood glucose value representing a value between the first blood glucose value and the second blood glucose value. In one embodiment, the processor (220) may determine the third time point such that the difference between the blood glucose value measured at the third time point and the first blood glucose value using the external device (202) is less than or equal to a specified value, and the difference between the blood glucose value measured at the third time point and the second blood glucose value using the external device (202) is less than or equal to a specified value.

[0092] According to one embodiment, the processor (220) may display guide information to measure the user's blood sugar level using an external device (202) at a third point in time.

[0093] According to one embodiment, the processor (220) can measure a sensing value representing a third biosignal through the first sensor (211) at a third time point and confirm a third blood sugar value measured from an external device (202) at a third time point.

[0094] For example, the processor (220) may determine the third time point based on reference information stored in the memory (210). The reference information may include information on blood sugar levels of a diabetic patient or information on blood sugar levels of a normal person. For example, the processor (220) may also determine the third time point based on blood sugar levels acquired in real time from an external device (202) implemented as a continuous glucose monitoring system (CGMS) device. However, this is merely an example, and embodiments of the present disclosure may determine the third time point in various ways.

[0095] According to one embodiment, the processor (220) may acquire, as calibration data, a sensing value indicating a first biosignal measured at a first point in time and first blood sugar data indicating a first blood sugar value, a sensing value indicating a second biosignal measured at a second point in time and second blood sugar data indicating a second blood sugar value, and a sensing value indicating a third biosignal measured at a third point in time and third blood sugar data indicating a third blood sugar value. However, this is an example, and the number of blood sugar values ​​may not be limited thereto.

[0096] According to one embodiment, the processor (220) may terminate the function of acquiring calibration data once the calibration data is acquired.

[0097] According to one embodiment, when calibration data is acquired, the processor (220) may display guide information indicating that the calibration data has been acquired through the display (260). According to one embodiment, the processor (220) may also output guide information indicating that the calibration data has been acquired in a voice.

[0098] According to one embodiment, the processor (220) may measure a first value through the first sensor (211) after acquiring calibration data. For example, the first value may represent a sensing value representing a user's biosignal acquired through the first sensor (211) before determining the user's blood sugar level using the calibration data. According to one embodiment, the processor (220) may use the calibration data to confirm a blood sugar level corresponding to the first value. According to one embodiment, the processor (220) may determine the confirmed blood sugar level as the user's blood sugar level.

[0099] Thereafter, according to one embodiment, the processor (220) may measure a second value through the first sensor (211). For example, the second value may represent the user's blood sugar level obtained through the first sensor (211) before determining the user's blood sugar level using the calibration data.

[0100] According to one embodiment, the processor (220) may execute a function of updating calibration data if it is determined that a difference between a second value and a first value measured prior to the second value is greater than a designated value. According to one embodiment, executing the function of updating the calibration data may include updating (renewing) a function equation between at least one blood sugar value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211). For example, the designated value may indicate a value for automatically executing the function of updating the calibration data when it is determined that the user's blood sugar has changed rapidly. For example, the designated value may indicate a value for automatically executing the function of updating the calibration data when it is determined that the performance of the first sensor (211) has changed. For example, the designated value may indicate approximately 20 mg / dl. For example, the designated value may be set by the user or may be automatically set by the processor (220). According to one embodiment, the processor (220) may re-perform the operation of acquiring calibration data when the function of updating calibration data is executed.

[0101] The operations of the wearable electronic device (201) described in the drawings below may be performed by the processor (220). However, for convenience of explanation, the operations performed by the processor (220) will be described as being performed by the wearable electronic device (201).

[0102] FIG. 3 is a flowchart illustrating an operation of a wearable electronic device according to one embodiment to acquire calibration data.

[0103] Referring to FIG. 3, according to one embodiment, in operation 311, the wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may execute a function to obtain calibration data for estimating (determining) a blood glucose level based on a sensed value representing a bio-signal of the user to be measured using the first sensor (211) (e.g., the first sensor (211) of FIG. 2). For example, the wearable electronic device (201) may execute an application of the wearable electronic device (201) that may execute a function for obtaining calibration data. According to one embodiment, the calibration data may include a calibration curve representing a relationship between at least one blood glucose level of the user measured by the external device (202) and a sensed value representing at least one bio-signal of the user measured through the first sensor (211).

[0104] According to one embodiment, in operation 313, the wearable electronic device (201) may determine whether the user is in a stable state based on a first sensing value obtained through at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the first sensing value may include at least one of the user's movement, heart rate, oxygen saturation, stress, or blood pressure. According to one embodiment, the wearable electronic device (201) may input the first sensing value into an artificial intelligence model stored in the memory (210) to determine whether the user is in a stable state.

[0105] According to one embodiment, in operation 315, the wearable electronic device (201) may determine a first time point to measure first blood sugar data of a user wearing the wearable electronic device (201) based on determining that the user is in a stable state. For example, the first blood sugar data may include a sensing value representing a biosignal of the user measured by the first sensor (211) at the first time point and a blood sugar value measured by an external device (202) at the first time point.

[0106] According to one embodiment, the wearable electronic device (201) may determine whether at least one of a wake-up event indicating that the user has woken up, a meal event indicating that the user is eating, or an exercise event indicating that the user is exercising has occurred based on the first sensing value. For example, the wearable electronic device (201) may determine that a wake-up event has occurred if the first sensing value is within a specified range corresponding to the wake-up event. For example, the wearable electronic device (201) may determine that a meal event has occurred if the first sensing value is within a specified range corresponding to the meal event. For example, the wearable electronic device (201) may determine that an exercise event has occurred if the first sensing value is within a specified range corresponding to the exercise event.

[0107] In one embodiment, the wearable electronic device (201) may determine the first point in time based on at least one of a wake-up event indicating that the user has woken up, a meal event indicating that the user is eating, or an exercise event indicating that the user is exercising. For example, the first point in time may include a time at which the user's highest blood sugar level, lowest blood sugar level, or median blood sugar level is measured.

[0108] According to one embodiment, in operation 317, the wearable electronic device (201) may display first guide information for measuring the user's blood sugar level using an external device (202) at a first point in time through a display (260) (e.g., the display (260) of FIG. 2). According to one embodiment, the wearable electronic device (201) may also output the first guide information in voice.

[0109] According to one embodiment, in operation 319, the wearable electronic device (201) may measure a second sensing value representing a first biosignal of the user at a first point in time through the first sensor (211). For example, the second sensing value may include a value based on the amount of light reflected from the user's skin when light is output to the user's skin by the first sensor (211).

[0110] According to one embodiment, in operation 321, the wearable electronic device (201) may obtain, from the external device (202), information indicating the user's first blood sugar level measured at a first point in time by the external device (202) through the communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). According to one embodiment, the wearable electronic device (201) may also obtain information indicating the first blood sugar level based on the user's input.

[0111] According to one embodiment, in operation 323, the wearable electronic device (201) may obtain calibration data for determining a blood sugar level of the user based on first blood sugar data including a second sensing value and a first blood sugar level. According to one embodiment, the calibration data may include a calibration curve indicating a relationship between at least one blood sugar level of the user measured by an external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211). For example, the calibration curve may include a function equation between at least one blood sugar level of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211).

[0112] According to one embodiment, when a sensing value representing a user's bio-signal value is acquired using a first sensor (211), the wearable electronic device (201) can acquire a user's blood sugar value corresponding to the sensing value representing the bio-signal value using a calibration curve. The wearable electronic device (201) can estimate (determine) the user's blood sugar value acquired using the calibration curve as the user's blood sugar value.

[0113] According to one embodiment, a blood sugar level based on a sensing value representing a bio-signal value measured by the first sensor (211) of the wearable electronic device (201) may be less accurate than a blood sugar level measured invasively by an external device (202) because the amount of light reflected from the skin may vary depending on the skin color of the user. Although the method of measuring the user's blood sugar level in an invasive manner using the external device (202) may be more accurate than the method of measuring the user's blood sugar level in a non-invasive manner, it may cause pain to the user. According to one embodiment, the wearable electronic device (201) may correct a blood sugar level based on a bio-signal of the user measured non-invasively through the first sensor (211) using calibration data. According to one embodiment, the wearable electronic device (201) may determine the corrected blood sugar level as the user's blood sugar level. Through this, the wearable electronic device (201) may provide an accurate blood sugar level to the user.

[0114] FIG. 4 is a flowchart illustrating an operation for determining a time point for measuring blood sugar data based on a meal event by a wearable electronic device according to one embodiment.

[0115] Referring to FIG. 4, according to one embodiment, in operation 411, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may obtain a first sensing value using at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the first sensing value may include a sensing value indicating at least one of a user's movement, heart rate, oxygen saturation, stress, or blood pressure.

[0116] According to one embodiment, in operation 413, the wearable electronic device (201) may identify a meal event indicating that the user is eating based on the first sensing value. For example, the wearable electronic device (201) may analyze the sensing value indicating the user's movement using an artificial intelligence model stored in the memory (210) to identify the meal event. The artificial intelligence model may include a temporal convolutional network (TCN), a decision tree (DT), and a k-nearest neighbor (KNN).

[0117] According to one embodiment, the wearable electronic device (201) may identify a meal event based on a voice signal acquired through a microphone included in the wearable electronic device (201). In this case, the wearable electronic device (201) may further consider a voice signal acquired from an external electronic device wearable on the user's ear to identify the meal event.

[0118] According to one embodiment, at operation 415, the wearable electronic device (201) may determine a first time point for measuring the user's blood sugar data based on the time point at which the meal event is identified.

[0119] In one embodiment, the wearable electronic device (201) may determine the first time point as a specified first time point after the meal event is confirmed. The specified first time point may include the time point at which the maximum blood glucose level is obtained. For example, the specified first time point may include one hour.

[0120] In one embodiment, the wearable electronic device (201) may determine the first time point as a specified second time point after the meal event is confirmed. The specified second time point may include the time point at which the median blood glucose value is obtained. For example, the specified second time point may include 2 hours.

[0121] In one embodiment, the wearable electronic device (201) may determine the first time point as a specified third time point from the time a meal event is confirmed. The specified third time point may include the time point at which the lowest blood glucose level (e.g., fasting blood glucose level) is obtained. For example, the specified third time point may include 8 hours.

[0122] According to one embodiment, the wearable electronic device (201) may display guide information for measuring a user's blood sugar level using an external device (202) (e.g., the external device (202) of FIG. 2) at a first point in time through the display (260) (e.g., the display (260) of FIG. 2). According to one embodiment, the wearable electronic device (201) may confirm a second sensing value representing a first biosignal of the user measured at a first point in time through the first sensor (211) (e.g., the first sensor (211) of FIG. 2), and may confirm a first blood sugar level of the user measured at the first point in time by the external device (202) through the communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). According to one embodiment, the wearable electronic device (201) may obtain first blood sugar data including the second sensing value representing the first biosignal and the first blood sugar level as calibration data for estimating (determining) the user's blood sugar level.

[0123] Through this, the wearable electronic device (201) can obtain the highest blood sugar value, the middle blood sugar value, or the lowest blood sugar value of the user measured at the first point in time by the first sensor (211) and the external device (202) as calibration data.

[0124] FIG. 5 is a flowchart illustrating an operation for determining a time point for measuring blood sugar data based on a meal event by a wearable electronic device according to one embodiment.

[0125] Referring to FIG. 5, according to one embodiment, in operation 511, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) can confirm blood glucose values ​​measured for a specified period of time by an external device (202) (e.g., the external device (202) of FIG. 2) through a communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). For example, the external device (202) can be implemented as a continuous blood glucose monitoring system (CGMS) device. For example, the wearable electronic device (201) can obtain blood glucose values ​​measured by the external device (202) in real time.

[0126] According to one embodiment, in operation 513, the wearable electronic device (201) may determine a meal event indicating that the user is eating based on the amount of change in blood glucose values ​​measured over a specified period of time. According to one embodiment, the wearable electronic device (201) may compare the amount of change in blood glucose values ​​over a specified period of time with a specified value. According to one embodiment, the wearable electronic device (201) may determine a meal event based on determining that the amount of change in blood glucose values ​​over a specified period of time is greater than the specified value. For example, if the amount of change in blood glucose values ​​over a specified period of time is determined to be greater than the specified value, the wearable electronic device (201) may determine that a meal event has occurred and that the user's blood glucose value has increased. For example, the amount of change in blood glucose values ​​over a specified period of time may include a value of approximately 1.5 mg / dl per minute.

[0127] According to one embodiment, in operation 515, the wearable electronic device (201) may determine a first point in time based on when the meal event is confirmed.

[0128] According to one embodiment, the wearable electronic device (201) may determine a time point after a specified first time from the time point at which a meal event is confirmed as the first time point. The specified first time point may include the time point at which the maximum blood glucose value is obtained. For example, the specified first time point may include 1 hour. According to one embodiment, the wearable electronic device (201) may determine a time point after a specified second time from the time point at which a meal event is confirmed as the first time point. The specified second time point may include the time point at which the intermediate blood glucose value is obtained. For example, the specified second time point may include 2 hours. According to one embodiment, the wearable electronic device (201) may determine a time point after a specified third time from the time point at which a meal event is confirmed as the first time point. The specified third time point may include the time point at which the lowest blood glucose value (e.g., fasting blood glucose value) is obtained. For example, the specified third time point may include 8 hours.

[0129] According to one embodiment, the wearable electronic device (201) may display guide information for measuring a user's blood sugar level using an external device (202) (e.g., the external device (202) of FIG. 2) at a first point in time through the display (260) (e.g., the display (260) of FIG. 2). According to one embodiment, the wearable electronic device (201) may confirm a second sensing value representing a first biosignal of the user measured at a first point in time through the first sensor (211) (e.g., the first sensor (211) of FIG. 2), and may confirm the user's first blood sugar level measured at the first point in time by the external device (202) through the communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). According to one embodiment, the wearable electronic device (201) may obtain first blood sugar data including the first blood sugar level and the second sensing value as calibration data.

[0130] Through this, the wearable electronic device (201) can obtain the highest blood sugar value, the middle blood sugar value, or the lowest blood sugar value of the user measured at the first point in time by the first sensor (211) and the external device (202) as calibration data.

[0131] FIG. 6 is a flowchart illustrating an operation for determining a time point for measuring blood sugar data based on an exercise event by a wearable electronic device according to one embodiment.

[0132] Referring to FIG. 6, according to one embodiment, in operation 611, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may obtain a first sensing value using at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the first sensing value may include a sensing value indicating at least one of a user's movement, heart rate, oxygen saturation, stress, or blood pressure.

[0133] According to one embodiment, in operation 613, the wearable electronic device (201) may determine a movement event indicating that the user is exercising based on the first sensing value. For example, the wearable electronic device (201) may determine that a movement event has occurred if the first sensing value falls within a specified range corresponding to the movement event.

[0134] According to one embodiment, in operation 615, the wearable electronic device (201) may determine a first point in time based on the point in time at which the exercise event is confirmed. For example, the wearable electronic device (201) may determine the point in time at which the exercise event is confirmed as the point in time at which the user's blood sugar data is measured.

[0135] According to one embodiment, the wearable electronic device (201) may display guide information for measuring a user's blood sugar level using an external device (202) (e.g., the external device (202) of FIG. 2) at a first point in time through the display (260) (e.g., the display (260) of FIG. 2). According to one embodiment, the wearable electronic device (201) may confirm a second sensing value representing a first biosignal of the user measured at a first point in time through the first sensor (211) (e.g., the first sensor (211) of FIG. 2), and may confirm a first blood sugar level of the user measured at the first point in time by the external device (202) through the communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). According to one embodiment, the wearable electronic device (201) may obtain first blood sugar data including the second sensing value and the first blood sugar level as calibration data.

[0136] Through this, the wearable electronic device (201) can obtain the user's median blood sugar level measured by the first sensor (211) and the external device (202) at the first point in time when the exercise event is confirmed as calibration data.

[0137] FIG. 7 is a flowchart illustrating an operation of a wearable electronic device according to one embodiment of the present invention to determine a time point for measuring blood sugar data based on a weather event.

[0138] Referring to FIG. 7, according to one embodiment, in operation 711, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may obtain a first sensing value using at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the first sensing value may include a sensing value indicating at least one of a user's movement, heart rate, oxygen saturation, stress, or blood pressure.

[0139] According to one embodiment, in operation 713, the wearable electronic device (201) may determine a weather event indicating that the user has woken up based on the first sensing value. For example, the wearable electronic device (201) may determine that a weather event has occurred if the sensing value falls within a specified range corresponding to the weather event.

[0140] According to one embodiment, in operation 715, the wearable electronic device (201) may determine a first point in time based on the time at which the weather event is confirmed. For example, the wearable electronic device (201) may determine the time at which the weather event is confirmed as the time at which the user's blood sugar data is measured.

[0141] According to one embodiment, the wearable electronic device (201) may display guide information for measuring a user's blood sugar level using an external device (202) (e.g., the external device (202) of FIG. 2) at a first point in time through the display (260) (e.g., the display (260) of FIG. 2). According to one embodiment, the wearable electronic device (201) may confirm a second sensing value representing a first biosignal of the user measured at a first point in time through the first sensor (211) (e.g., the first sensor (211) of FIG. 2), and may confirm a first blood sugar level of the user measured at the first point in time by the external device (202) through the communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). According to one embodiment, the wearable electronic device (201) may obtain first blood sugar data including the second sensing value representing the first biosignal and the first blood sugar level as calibration data.

[0142] Through this, the wearable electronic device (201) can obtain the user's lowest blood sugar level measured by the first sensor (211) and the external device (202) at the time when the weather event is confirmed as calibration data.

[0143] FIG. 8 is a flowchart illustrating an operation of a wearable electronic device according to one embodiment to acquire calibration data.

[0144] Referring to FIG. 8, according to one embodiment, in operation 811, the wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may measure first blood sugar data. For example, the wearable electronic device (201) may measure a second sensing value representing a first biosignal at a first point in time through a first sensor (211) (e.g., the first sensor (211) of FIG. 2), and may confirm the first blood sugar value measured at the first point in time from an external device (202) (e.g., the external device (202) of FIG. 2).

[0145] According to one embodiment, in operation 813, the wearable electronic device (201) may determine a third sensing value through at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the third sensing value may include a sensing value indicating at least one of a user's movement, heart rate, oxygen saturation, stress, or blood pressure.

[0146] According to one embodiment, in operation 815, the wearable electronic device (201) may determine a second time point different from the first time point to measure second blood glucose data based on the third sensing value. According to one embodiment, the wearable electronic device (202) may determine whether the user is in a stable state based on the third sensing value. According to one embodiment, the wearable electronic device (202) may determine the second time point based on determining that the user is in a stable state. For example, the second time point may be determined based on a meal event, an exercise event, or a wake-up event. For example, the second blood glucose data may include a sensing value representing a biosignal measured at the second time point by the first sensor (211) (e.g., the first sensor (211) of FIG. 2 ) and a blood glucose value measured at the second time point by the external device (202).

[0147] According to one embodiment, in operation 817, the wearable electronic device (201) may display second guide information through the display (260) (e.g., the display (260) of FIG. 2) to measure the user's blood sugar level using an external device (202) at a second time point.

[0148] According to one embodiment, at operation 819, the wearable electronic device (201) may measure a fourth sensing value representing a second biosignal of the user at a second point in time through the first sensor (211).

[0149] According to one embodiment, in operation 821, the wearable electronic device (201) may obtain information representing a second blood sugar level of the user measured by an external device (202) at a second point in time through a communication circuit (290) (e.g., the communication circuit (290) of FIG. 2 ).

[0150] According to one embodiment, in operation 823, the wearable electronic device (201) may determine a third point in time at which to measure third blood sugar data based on the first blood sugar value and the second blood sugar value. For example, the third blood sugar data may include a sensing value representing a third biosignal measured at the third point in time by the first sensor (211) and a blood sugar value measured at the third point in time by the external device (202).

[0151] In one embodiment, the wearable electronic device (201) may compare a first blood sugar value with a second blood sugar value. In one embodiment, if the difference between the first blood sugar value and the second blood sugar value is determined to be greater than a designated value, the wearable electronic device (201) may determine a third time point to acquire additional third blood sugar data for acquiring calibration data. For example, the designated value may include the difference between two adjacent blood sugar values ​​measured by an external device (202) for acquiring a calibration curve. For example, the designated value may include approximately 50 mg / dl. For example, the designated value may be set by a user or automatically set by the processor (220).

[0152] In one embodiment, the wearable electronic device (201) may determine a third time point for measuring a blood glucose value, which represents a value between a first blood glucose value and a second blood glucose value. In one embodiment, the wearable electronic device (201) may determine the third time point such that a difference between the blood glucose value measured at the third time point and the second blood glucose value using an external device (202) is less than or equal to a specified value, and such that a difference between the blood glucose value measured at the third time point and the second blood glucose value using an external device (202) is less than or equal to a specified value.

[0153] For example, the wearable electronic device (201) may determine the third time point based on reference information stored in the memory (210) (e.g., the memory (210) of FIG. 2). The reference information may include a blood sugar level of a diabetic patient or a blood sugar level of a normal person. For example, the wearable electronic device (201) may also determine the third time point based on blood sugar levels acquired in real time from an external device (202) implemented as a continuous glucose monitoring system (CGMS) device. However, this is merely an example, and embodiments of the present disclosure may determine the third time point in various ways.

[0154] According to one embodiment, in operation 825, the wearable electronic device (201) may display third guide information through the display (260) to measure the user's blood sugar level using an external device (202) at a third point in time.

[0155] According to one embodiment, at operation 827, the wearable electronic device (201) may measure a fifth sensing value representing a third biosignal of the user at a third point in time through the first sensor (211).

[0156] According to one embodiment, at operation 829, the wearable electronic device (201) may obtain information representing a third blood sugar value of the user measured by an external device (202) at a third point in time.

[0157] According to one embodiment, in operation 831, the wearable electronic device (201) may acquire calibration data based on the first blood sugar data, the second blood sugar data, and the third blood sugar data. According to one embodiment, the calibration data may include a calibration curve representing a relationship between at least one blood sugar value of the user measured by the external device (202) and a sensing value representing at least one biosignal of the user measured through the first sensor (211). For example, the calibration curve may include a function equation between at least one blood sugar value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211).

[0158] FIG. 9A is a flowchart illustrating an operation of a wearable electronic device according to one embodiment of the present invention to determine a blood sugar level based on a sensing value measured through a first sensor using calibration data.

[0159] Referring to FIG. 9A, according to one embodiment, in operation 911, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2 ) may obtain calibration data. According to one embodiment, the calibration data may include a calibration curve representing a relationship between at least one blood glucose value of the user measured by an external device (202) (e.g., the external device (202) of FIG. 2 ) and at least one sensing value representing at least one biosignal of the user measured through a first sensor (211) (e.g., the first sensor (211) of FIG. 2 ). For example, the calibration curve may include a function equation between at least one blood glucose value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211). According to one embodiment, the wearable electronic device (201) may terminate the function for acquiring calibration data after acquiring calibration data.

[0160] According to one embodiment, in operation 913, the wearable electronic device (201) may measure a first value representing a user's biosignal through the first sensor (211). For example, the first value may include a sensing value based on the amount of light reflected from the user's skin when light is output to the user's skin by the first sensor (211).

[0161] According to one embodiment, in operation 915, the wearable electronic device (201) can use the calibration data to determine a blood sugar value corresponding to the first value.

[0162] According to one embodiment, in operation 917, the wearable electronic device (201) may determine the identified blood sugar value as the user's blood sugar value.

[0163] According to one embodiment, a blood sugar level based on a sensing value representing a biosignal measured by the first sensor (211) of the wearable electronic device (201) may be less accurate than a blood sugar level measured invasively by an external device (202) because the amount of light reflected from the skin may vary depending on the skin color of the user. Although the method of measuring the user's blood sugar level in an invasive manner using the external device (202) may be more accurate than the method of measuring the user's blood sugar level in a non-invasive manner, it may cause pain to the user. According to one embodiment, the wearable electronic device (201) may use calibration data to check a blood sugar level corresponding to a biosignal value of the user measured non-invasively through the first sensor (211) and determine the blood sugar level as the user's blood sugar level. Through this, the wearable electronic device (201) may provide an accurate blood sugar level to the user.

[0164] FIG. 9b is a flowchart illustrating an operation of a wearable electronic device according to one embodiment to update calibration data.

[0165] Referring to FIG. 9B, according to one embodiment, in operation 931, the wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may measure a second value representing a biosignal of the user through the first sensor (211) (e.g., the first sensor (211) of FIG. 2). For example, the second value may include a sensing value based on the amount of light reflected from the user's skin when light is output to the user's skin by the first sensor (211).

[0166] According to one embodiment, in operation 933, the wearable electronic device (201) may compare a difference between a first value representing a user's bio-signal value measured through the first sensor (211) prior to the second value and a designated value. For example, the designated value may represent a value that executes a function to update calibration data when it is determined that a sensing value representing the user's bio-signal has changed abruptly. For example, the designated value may represent a value that executes a function to update calibration data when it is determined that the performance of the first sensor (211) has changed. For example, the designated value may represent approximately 20 mg / dl.

[0167] In one embodiment, at operation 935, the wearable electronic device (201) may execute a function for updating calibration data based on determining that a difference between the second value and the first value measured prior to the second value is greater than a specified value. In one embodiment, once the function for updating calibration data is executed, the wearable electronic device (201) may re-execute an operation for acquiring calibration data.

[0168] According to one embodiment, the calibration data may include a calibration curve representing a relationship between at least one blood glucose value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211). For example, the calibration curve may include a function equation between at least one blood glucose value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211). According to one embodiment, executing a function of updating the calibration data may include updating the function equation between at least one blood glucose value of the user measured by the external device (202) and at least one sensing value representing at least one biosignal of the user measured through the first sensor (211).

[0169] FIG. 10 is a diagram showing information about blood sugar levels measured by an external device according to one embodiment.

[0170] Referring to FIG. 10, according to one embodiment, the horizontal axis of the graph may represent the time at which the external device (202) (e.g., the external device (202) of FIG. 2) measures the blood sugar value, and the vertical axis may represent the blood sugar value measured by the external device (202).

[0171] According to one embodiment, the wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may determine a time point at which to measure the user's blood sugar data based on a sensed value obtained through at least one second sensor (212) (e.g., the at least one second sensor (212) of FIG. 2). For example, the sensed value may include at least one of the user's movement, heart rate, oxygen saturation, stress, or blood pressure. For example, the time point may include a time point at which the user's highest blood sugar value, lowest blood sugar value, or median blood sugar value is measured. For example, the time point may be determined based on at least one of a wake-up event indicating that the user has woken up, a meal event indicating that the user is eating, or an exercise event indicating that the user is exercising.

[0172] According to one embodiment, the wearable electronic device (201) can identify a weather event indicating that the user has woken up. According to one embodiment, the wearable electronic device (201) can determine the time point at which the weather event is identified as the time point at which blood sugar data is measured. According to one embodiment, the wearable electronic device (201) can obtain a blood sugar value (1010) measured at the time point at which the weather event is identified by an external device (202) through a communication circuit (290) (e.g., the communication circuit (290) of FIG. 2). For example, the blood sugar value (1010) can represent approximately 140 mg / dl.

[0173] According to one embodiment, the wearable electronic device (201) can identify a first meal event indicating that the user is eating. According to one embodiment, the wearable electronic device (201) can determine a time point at which a first designated time (T1) has elapsed from the time point at which the first meal event is identified as a time point at which the user's blood sugar data is measured. The designated first time point (T1) can include a time point at which a maximum blood sugar value is obtained. For example, the designated first time point can include 1 hour. According to one embodiment, the wearable electronic device (201) can obtain a blood sugar value (1020) measured at a time point at which a first designated time (T1) has elapsed from the time point at which the first meal event is identified by an external device (202) through the communication circuit (290). For example, the blood sugar value (1020) can represent approximately 300 mg / dl.

[0174] According to one embodiment, the wearable electronic device (201) can identify a second meal event indicating that the user is eating. According to one embodiment, the wearable electronic device (201) can determine a time point at which a second designated time (T2) has elapsed from the time point at which the second meal event is identified as a time point at which the user's blood sugar data is measured. The designated second time point (T2) can include a time point at which an intermediate blood sugar value is acquired. For example, the designated second time point can include 2 hours. According to one embodiment, the wearable electronic device (201) can acquire a blood sugar value (1030) measured at a second designated time (T2) elapsed from the time point at which the second meal event is identified by an external device (202) through the communication circuit (290). For example, the blood sugar value (1030) can represent approximately 270 mg / dl.

[0175] According to one embodiment, the wearable electronic device (201) can identify an exercise event indicating that the user is exercising. According to one embodiment, the wearable electronic device (201) can determine a time point at which the user's blood sugar data is measured based on the exercise event. For example, the wearable electronic device (201) can determine the time point at which the exercise event is identified as the time point at which the user's blood sugar data is measured. The time point at which the exercise event is identified may include the time at which an intermediate blood sugar value is acquired. According to one embodiment, the wearable electronic device (201) can acquire a blood sugar value (1040) measured at the time point at which the exercise event is identified by an external device (202) through the communication circuit (290). For example, the blood sugar value (1040) may represent approximately 230 mg / dl.

[0176] FIG. 11 is a diagram illustrating an operation of a wearable electronic device according to one embodiment to obtain calibration data.

[0177] Referring to FIGS. 11 and 10, the calibration data may include a calibration curve (1160) representing a relationship between blood sugar values ​​measured by an external device (202) (e.g., the external device (202) of FIG. 2) and sensing values ​​representing bio-signals measured by a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2). For example, the sensing values ​​representing bio-signals may include values ​​based on the amount of light reflected from the user's skin when light is output to the user's skin by the first sensor (211).

[0178] According to one embodiment, the horizontal axis of the calibration curve (1160) may represent a blood sugar value measured by an external device (202), and the vertical axis may represent a sensing value representing a user's bio-signals measured by a wearable electronic device (201).

[0179] According to one embodiment, the wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may measure a sensing value representing a user's bio-signal at a time when a weather event is confirmed through the first sensor (211) (e.g., the first sensor (211) of FIG. 2). For example, the sensing value representing a bio-signal measured by the first sensor (211) may represent approximately 425. For example, the blood sugar value (1010) measured by the external device (202) (e.g., the blood sugar value (1010) of FIG. 10) may represent approximately 140 mg / dl. According to one embodiment, the wearable electronic device (201) may obtain first blood sugar data (1110) based on the blood sugar value (1010) measured by the external device (202) and the sensing value representing a bio-signal measured by the first sensor (211).

[0180] According to one embodiment, the wearable electronic device (201) can measure a blood sugar level at a time point when a designated first time (T1) has passed from the time point at which the first meal event is confirmed through the first sensor (211). For example, a sensing value representing a biosignal measured by the first sensor (211) may represent approximately 650. For example, a blood sugar level (1020) measured by an external device (202) (e.g., a blood sugar level (1020) of FIG. 10) may represent approximately 300 mg / dl. According to one embodiment, the wearable electronic device (201) can obtain second blood sugar level data (1120) based on the blood sugar level (1020) measured by the external device (202) and the sensing value measured by the first sensor (211).

[0181] According to one embodiment, the wearable electronic device (201) can measure a blood sugar level at a time point when a designated second time (T2) has passed from the time point at which the second meal event is confirmed through the first sensor (211). For example, a sensing value representing a biosignal measured by the first sensor (211) may represent approximately 620. For example, a blood sugar level (1030) measured by an external device (202) (e.g., a blood sugar level (1030) of FIG. 10) may represent approximately 270 mg / dl. According to one embodiment, the wearable electronic device (201) can obtain third blood sugar level data (1130) based on the blood sugar level (1030) measured by the external device (202) and the sensing value measured by the first sensor (211).

[0182] According to one embodiment, the wearable electronic device (201) can measure a blood sugar level at the time when an exercise event is confirmed through the first sensor (211). For example, a sensing value representing a biosignal measured by the first sensor (211) can represent approximately 500. For example, a blood sugar level (1040) measured by an external device (202) (e.g., a blood sugar level (1040) of FIG. 10) can represent approximately 230 mg / dl. According to one embodiment, the wearable electronic device (201) can obtain fourth blood sugar data (1140) based on the blood sugar level (1040) measured by the external device (202) and the sensing value measured by the first sensor (211).

[0183] According to one embodiment, the wearable electronic device (201) may compare the blood sugar value (1010) measured by the external device (202) included in the first blood sugar data (1110) with the blood sugar value (1040) measured by the external device (202) included in the fourth blood sugar data (1140), and determine that the difference (e.g., 70 mg / dl) between the blood sugar value (1010) and the blood sugar value (1040) is greater than a specified value. According to one embodiment, the wearable electronic device (201) may determine a specific time point to acquire additional blood sugar data for acquiring calibration data based on determining that the difference between the blood sugar value (1010) and the blood sugar value (1040) is greater than the specified value. For example, the specified value may include the difference between two adjacent blood sugar values ​​measured by the external device (202) for acquiring a calibration curve (1160). For example, the specified value may represent 50 mg / dl. In one embodiment, the wearable electronic device (201) may determine the specified time point such that the difference between the blood sugar value measured using the external device (202) at the determined specific time point and the blood sugar value (1010) is less than or equal to the specified value, and the difference between the blood sugar value measured using the external device (202) at the determined specific time point and the blood sugar value (1040) is less than or equal to the specified value.

[0184] According to one embodiment, the wearable electronic device (201) may display guide information to measure the user's blood sugar level using an external device (202) at a specific point in time through the display (260) (e.g., the display (260) of FIG. 2).

[0185] According to one embodiment, the wearable electronic device (201) can measure a sensing value representing a user's bio-signal at a specific point in time through the first sensor (211). According to one embodiment, the wearable electronic device (201) can obtain a blood sugar value measured by an external device (202) at a specific point in time through the communication circuit (290). According to one embodiment, the wearable electronic device (201) can obtain fifth blood sugar data (1150) based on the blood sugar value measured by the external device (202) at a specific point in time and the sensing value measured by the first sensor (211) at a specific point in time. For example, the sensing value representing the user's bio-signal measured by the first sensor (211) may be approximately 470, and the user's blood sugar value measured by the external device (202) may be approximately 190 mg / dl.

[0186] According to one embodiment, the wearable electronic device (201) can obtain calibration data (e.g., calibration curve (1160)) using blood sugar data (1110, 1120, 1130, 1140, 1150).

[0187] For example, the calibration curve may include a function equation between at least one blood sugar value of the user measured by the external device (202) and at least one sensing value representing at least one bio-signal value of the user measured through the first sensor (211). For convenience of explanation, the calibration curve is illustrated in FIG. 11 as being implemented as a linear function, but may be implemented as an n-order function (n is a natural number greater than 1).

[0188] According to one embodiment, embodiments of the present disclosure may not be limited to the number of blood sugar values ​​and numerical values ​​of blood sugar values ​​illustrated in FIG. 11.

[0189] FIG. 12 is a diagram showing information on blood sugar values ​​measured by an external device implemented as a continuous blood sugar monitoring system according to one embodiment.

[0190] Referring to FIG. 12, according to one embodiment, an external device (202) (e.g., the external device (202) of FIG. 2) may be implemented as a continuous glucose monitoring system (CGMS) device. According to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may receive blood glucose values ​​(1200) measured by the external device (202) in real time through a communication circuit (290) (e.g., the communication circuit (290) of FIG. 2).

[0191] The horizontal axis of the graph illustrated in Fig. 12 may represent the time at which the external device (202) measures the blood sugar level, and the vertical axis may represent the blood sugar level measured by the external device (202).

[0192] According to one embodiment, the wearable electronic device (201) can check the blood sugar value (1010) received from the external device (202) at the time when the weather event is confirmed.

[0193] According to one embodiment, the wearable electronic device (201) can check the blood sugar value (1020) received from the external device (202) at a time point after a specified first time point (T1) has passed from the time point at which the first meal event is confirmed.

[0194] According to one embodiment, the wearable electronic device (201) can check the blood sugar value (1030) received from the external device (202) at a time point after a specified second time (T2) has passed from the time point at which the second meal event is confirmed.

[0195] According to one embodiment, the wearable electronic device (201) can check the blood sugar value (1040) received from the external device (202) at the time when the exercise event is confirmed.

[0196] In one embodiment, the wearable electronic device (201) may determine that the difference between the blood sugar value (1010) acquired at the time when the weather event is confirmed and the blood sugar value (1040) acquired at the time when the exercise event is confirmed is greater than a specified value. At this time, the wearable electronic device (201) may determine a time point t1 for measuring additional blood sugar data to acquire calibration data.

[0197] According to one embodiment, the wearable electronic device (201) may analyze blood glucose values ​​(1200) received in real time by a continuous glucose monitoring system (CGMS) device to determine a time point t1. The blood glucose value (1250) received from the external electronic device (202) at time t1 is a value between a blood glucose value (1010) acquired at a time point when a wake-up event is confirmed and a blood glucose value (1040) acquired at a time point when an exercise event is confirmed, and the difference between the blood glucose value (1010) acquired at a time point when a wake-up event is confirmed and the blood glucose value (1040) acquired at a time point when an exercise event is confirmed may not be greater than a specified value.

[0198] According to one embodiment, the wearable electronic device (201) can measure the user's blood sugar level at time t1 using the first sensor (211) (e.g., the first sensor (211) of FIG. 2). According to one embodiment, the wearable electronic device (201) can check the blood sugar level (1250) received from the external electronic device (202) at time t1 and measure the user's blood sugar level at time t1 using the first sensor (211).

[0199] FIG. 13 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment executes a function of acquiring calibration data.

[0200] Referring to FIG. 13, according to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may execute an application capable of executing a function for obtaining calibration data through a display (260) (e.g., the display (260) of FIG. 2).

[0201] According to one embodiment, the wearable electronic device (201) may display information (1310) indicating whether to execute a function for obtaining calibration data (e.g., “Do you want to execute a function for automatically updating a blood sugar correction model?”) on the execution screen of the application when the application is executed.

[0202] According to one embodiment, the wearable electronic device (201) may execute a function for acquiring calibration data when a user input for a first object (1320) indicating that a function for acquiring calibration data is to be executed is confirmed.

[0203] According to one embodiment, the wearable electronic device (201) may not execute the function for acquiring calibration data if a user input for the second object (1330) indicating not to execute the function for acquiring calibration data is confirmed.

[0204] FIG. 14 is a diagram illustrating a screen displayed through a display when a wearable electronic device according to one embodiment checks a weather event.

[0205] Referring to FIG. 14, according to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may obtain a sensing value through at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the sensing value may include a sensing value representing at least one of heart rate, oxygen saturation, stress, or blood pressure.

[0206] According to one embodiment, the wearable electronic device (201) can identify a weather event indicating that the user has woken up based on a sensing value. According to one embodiment, the wearable electronic device (201) can display information (1420) indicating that the weather event has been identified through a display (260) (e.g., the display (260) of FIG. 2).

[0207] According to one embodiment, the wearable electronic device (201) may display guide information (1430) (e.g., “Measure your blood sugar now”) through the display (260) to measure blood sugar data using an external device (202) (e.g., the external device (202) of FIG. 2) based on checking a weather event.

[0208] According to one embodiment, the wearable electronic device (201) may display information (1410) about the current time and information (1440) about the progress of acquiring calibration data through the display (260). For example, the information (1440) about the progress of acquiring calibration data may include a status bar indicating that 10% of 100% has been completed.

[0209] FIG. 15 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment confirms a meal event.

[0210] Referring to FIG. 15, according to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may obtain a sensing value through at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the sensing value may include a sensing value representing at least one of heart rate, oxygen saturation, stress, or blood pressure.

[0211] According to one embodiment, the wearable electronic device (201) can identify a meal event indicating that the user is eating based on a sensing value. For example, the wearable electronic device (201) can analyze a sensing value indicating the user's movement using an artificial intelligence model stored in the memory (210) (e.g., the memory (210) of FIG. 2) to identify a meal event. According to one embodiment, the wearable electronic device (201) can also identify a meal event based on a voice signal acquired using a microphone included in the wearable electronic device (201). In this case, the wearable electronic device (201) can further consider a voice signal acquired from an external electronic device that can be worn on the user's ear to identify the meal event.

[0212] According to one embodiment, the wearable electronic device (201) may display information (1520) indicating that a meal event has been detected (e.g., a meal event has been detected) through a display (260) (e.g., display (260) of FIG. 2).

[0213] According to one embodiment, the wearable electronic device (201) may determine the time at which a meal event is confirmed as the time at which the user's blood sugar data is measured. According to one embodiment, the wearable electronic device (201) may also determine the time at which the user's blood sugar data is measured as a specified first time period after the time at which the meal event is confirmed. The specified first time period may include the time at which the maximum blood sugar level is obtained. For example, the specified first time period may include one hour.

[0214] According to one embodiment, the wearable electronic device (201) may display guide information (1530) (e.g., “Measure your blood sugar now”) about when to measure the user’s blood sugar data using an external device (202) (e.g., the external device (202) of FIG. 2) through a display (260).

[0215] According to one embodiment, the wearable electronic device (201) may display information (1510) about the current time and information (1540) about the progress of acquiring calibration data through the display (260). For example, the information (1540) about the progress of acquiring calibration data may include a status bar indicating that 50% of the progress has been made compared to 100%.

[0216] FIG. 16 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment confirms an exercise event.

[0217] Referring to FIG. 16, according to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may obtain a sensing value through at least one second sensor (212) (e.g., at least one second sensor (212) of FIG. 2). For example, the sensing value may include a sensing value representing at least one of heart rate, oxygen saturation, stress, or blood pressure.

[0218] According to one embodiment, the wearable electronic device (201) can identify an exercise event indicating that the user is exercising based on the sensing value. According to one embodiment, the wearable electronic device (201) can display information (1620) indicating that the exercise event has been identified through the display (260) (e.g., the display (260) of FIG. 2).

[0219] In one embodiment, the wearable electronic device (201) may determine the time at which an exercise event is confirmed as the time at which the user's blood sugar data is measured. In one embodiment, the wearable electronic device (201) may display guide information (1630) (e.g., "Measure your blood sugar now") regarding the time at which the user's blood sugar data is measured using an external device (202) (e.g., the external device (202) of FIG. 2) via the display (260).

[0220] According to one embodiment, the wearable electronic device (201) may display information (1610) about the current time and information (1640) about the progress of acquiring calibration data through the display (260). For example, the information (1640) about the progress of acquiring calibration data may include a status bar indicating that 70% of the progress has been made compared to 100%.

[0221] FIG. 17 is a diagram illustrating a screen displayed through a display when a wearable electronic device according to one embodiment determines that additional blood sugar data is required.

[0222] Referring to FIG. 17, according to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may determine a specific point in time to acquire additional blood glucose data for obtaining calibration data based on blood glucose values ​​measured by an external device (202) (e.g., the external device (202) of FIG. 2).

[0223] In one embodiment, the wearable electronic device (201) may display information (1720) about a specific time point to obtain additional blood glucose data (e.g., “Insufficient blood glucose measurement data. Measure blood glucose at 23:00 on May 5, 2023”) through a display (260) (e.g., display (260) of FIG. 2 ).

[0224] According to one embodiment, the wearable electronic device (201) may display information (1710) about the current time and information (1730) about the progress of acquiring calibration data through the display (260). For example, the information (1730) about the progress of acquiring calibration data may include a status bar indicating that 90% of the progress has been made compared to 100%.

[0225] FIG. 18 is a drawing showing a screen displayed through a display when a wearable electronic device according to one embodiment ends a function of acquiring calibration data.

[0226] Referring to FIG. 18, according to one embodiment, when calibration data is acquired through a display (260) (e.g., the display (260) of FIG. 2), a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may display information (1810) indicating that calibration data has been acquired (e.g., measurement for blood glucose correction model has been completed).

[0227] According to one embodiment, the wearable electronic device (201) may output information indicating that calibration data has been acquired by auditory or tactile means.

[0228] According to one embodiment, the wearable electronic device (201) may terminate the function of acquiring calibration data once the calibration data is acquired.

[0229] FIG. 19 is a drawing showing a screen on which a wearable electronic device according to one embodiment displays calibration data.

[0230] Referring to FIG. 19, according to one embodiment, a wearable electronic device (201) (e.g., the wearable electronic device (201) of FIG. 2) may display information (1910) about a calibration curve.

[0231] According to one embodiment, the wearable electronic device (201) may display information about blood sugar values ​​acquired from an external device (202) (e.g., the external device (202) of FIG. 2) during the operation of acquiring calibration data.

[0232] According to one embodiment, information about blood glucose values ​​obtained from the external device (202) may include the time at which the blood glucose values ​​were measured by the external device (202) and the blood glucose values ​​(e.g., 120 mg / dl, 280 mg / dl, 260 mg / dl, 190 mg / dl).

[0233] According to one embodiment, the wearable electronic device (201) may display information about blood sugar values ​​including bio-signal values ​​obtained through the first sensor (211) (e.g., the first sensor (211) of FIG. 2) and the time at which the bio-signal values ​​were measured.

[0234] The technical problem to be achieved in the present disclosure is not limited to the technical problem mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary skill in the art to which the present disclosure pertains. According to one embodiment, a wearable electronic device (201) may include a first sensor (211), at least one second sensor (212), a memory (210), a display (260), a communication circuit (290), and at least one processor (220).

[0235] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine a first time point to measure first blood sugar data of a user wearing the wearable electronic device (201) based on a first sensing value determined through the at least one second sensor (212).

[0236] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to display, through the display (260), first guide information for measuring the user's blood sugar using an external device (202) at the first time.

[0237] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to measure a second sensing value representing a first biosignal of the user at the first point in time through the first sensor (211).

[0238] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to obtain information representing the user's first blood sugar value measured at the first point in time by the external device (202) through the communication circuit (290).

[0239] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to obtain the calibration data for determining the blood sugar level of the user based on the sensing value representing the user's biosignal to be measured using the first sensor (211) based on the second sensing value representing the first biosignal and the first blood sugar level.

[0240] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to identify a second time point, different from the first time point, to measure the second blood sugar data of the user to obtain the calibration data based on the third sensing value identified through the at least one second sensor (212). According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor, cause the wearable electronic device (201) to display, through the display (260), second guide information for measuring the blood sugar of the user using the external device (202) at the second time point.

[0241] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to measure a fourth sensing value representing a second biosignal of the user at the second point in time through the first sensor (211).

[0242] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to obtain information representing the second blood sugar value of the user measured at the second point in time by the external device (202) through the communication circuit (290).

[0243] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to obtain the calibration data based on the fourth sensing value representing the second biosignal and the second blood sugar value.

[0244] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine a third time point different from the first time point and the second time point to measure the third blood sugar data of the user to obtain the calibration data based on determining that a difference between the first blood sugar value and the second blood sugar value is greater than a designated value.

[0245] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to display third guide information for measuring the user's blood sugar using the external device (202) at the third time point through the display (260).

[0246] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to measure a first value through the first sensor (211) after acquiring the calibration data.

[0247] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine a blood sugar value corresponding to the first value using the calibration data.

[0248] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine the blood sugar value corresponding to the first value as the blood sugar value of the user.

[0249] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to measure a second value through the first sensor (211).

[0250] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to update the calibration data based on determining that a difference between the second value and the first value measured prior to the second value is greater than a specified value.

[0251] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine the first point in time based on the point in time at which the meal event is confirmed, when a meal event indicating that the user is eating is confirmed based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

[0252] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to obtain blood glucose values ​​measured for a specified period of time by the external device (202) including a continuous glucose monitoring system through the communication circuit.

[0253] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine the first time point based on the time point at which the meal event is confirmed, if the meal event is confirmed based on determining that the amount of change in the blood sugar values ​​during the specified time is greater than a specified value.

[0254] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine the first point in time based on the point in time at which the exercise event is identified, when an exercise event indicating that the user is exercising is identified based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

[0255] According to one embodiment, the memory (210) may store instructions that, when executed by the at least one processor (220), cause the wearable electronic device (201) to determine the first point in time based on the point in time at which the weather event is confirmed, when a weather event indicating that the user has woken up is confirmed based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

[0256] According to one embodiment, the calibration data may include a calibration curve indicating a relationship between at least one blood sugar value of the user measured by the external device (202) and a sensing value representing at least one biosignal of the user measured through the first sensor (211).

[0257] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of determining a first time point to measure first blood sugar data of a user wearing the wearable electronic device to obtain calibration data based on a first sensing value determined through at least one second sensor (212) included in the wearable electronic device (201).

[0258] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of displaying first guide information for measuring blood sugar of the user using an external device (202) at the first time point through a display (260) included in the wearable electronic device (201).

[0259] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of measuring a second sensing value representing a first biosignal of the user at the first point in time through a first sensor (211) included in the wearable electronic device (201).

[0260] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of obtaining information representing a first blood sugar level of the user measured at the first point in time by the external device (202) through a communication circuit (290) included in the wearable electronic device (201).

[0261] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of obtaining calibration data for determining a blood sugar level of the user based on a sensing value representing a biosignal of the user to be measured using the first sensor (211), based on the first biosignal value and the first blood sugar level.

[0262] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of identifying a second time point different from the first time point to measure the second blood sugar data of the user to obtain the calibration data based on the third sensing value identified through the at least one second sensor (212).

[0263] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of displaying second guide information for measuring the user's blood sugar level using the external device (202) at the second time point through the display (260).

[0264] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of measuring a fourth sensing value representing a second biosignal of the user at the second time point through the first sensor (211).

[0265] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of obtaining information representing the second blood sugar value of the user measured at the second point in time by the external device (202) through the communication circuit (290).

[0266] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of obtaining the calibration data based on the fourth sensing value representing the second biosignal and the second blood sugar value.

[0267] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of determining a third time point different from the first time point and the second time point to measure third blood sugar data of the user to obtain the calibration data based on determining that a difference between the first blood sugar value and the second blood sugar value is greater than a specified value.

[0268] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of displaying third guide information for measuring the user's blood sugar level using the external device (202) at the third time point through the display (260).

[0269] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of measuring a first value through the first sensor (211) after obtaining the calibration data.

[0270] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of confirming a blood sugar value corresponding to the first value using the calibration data.

[0271] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of determining the blood sugar value corresponding to the first value as the blood sugar value of the user.

[0272] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of measuring a second value through the first sensor.

[0273] According to one embodiment, the method of operating the wearable electronic device (201) may include updating the calibration data based on determining that a difference between the second value and the first value measured prior to the second value is greater than a specified value.

[0274] According to one embodiment, the operating method of the wearable electronic device (201) may include an operation of determining the first point in time based on the point in time at which the meal event is confirmed, when a meal event indicating that the user is eating is confirmed based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

[0275] According to one embodiment, the method of operating the wearable electronic device (201) may include an operation of obtaining blood sugar values ​​measured for a specified period of time by the external device (202) through the communication circuit.

[0276] According to one embodiment, the operating method of the wearable electronic device (201) may include an operation of determining the first time point based on the time point at which the meal event is confirmed, when the meal event is confirmed based on confirming that the amount of change in the blood sugar values ​​during the specified time is greater than a specified value.

[0277] According to one embodiment, a method of operating a wearable electronic device (201) may include an operation of determining the first point in time based on a point in time at which the exercise event is confirmed, when an exercise event indicating that the user is exercising is confirmed based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

[0278] According to one embodiment, the operating method of the wearable electronic device (201) may include an operation of determining the first point in time based on the time at which the weather event is confirmed, when a weather event indicating that the user has woken up is confirmed based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

[0279] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining a first time point to measure first blood sugar data of a user wearing the wearable electronic device to obtain calibration data based on a first sensing value determined through at least one second sensor (212) included in the wearable electronic device (201).

[0280] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of displaying, through a display (260) included in the wearable electronic device (201), first guide information for measuring the user's blood sugar level using an external device at the first time point.

[0281] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of measuring a second sensing value representing a first biosignal of the user at the first time point through a first sensor included in the wearable electronic device.

[0282] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of obtaining information representing a first blood sugar level of the user measured at the first point in time by the external device (202) through a communication circuit (290) included in the wearable electronic device (201).

[0283] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of obtaining calibration data for determining a blood glucose value of the user based on a sensing value representing a biosignal of the user to be measured using the first sensor (211), based on the second sensing value representing the first biosignal and the first blood glucose value.

[0284] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of identifying a second time point different from the first time point to measure second blood sugar data of the user to obtain the calibration data based on a third sensing value identified through the at least one second sensor (212).

[0285] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of displaying, through the display (260), second guide information for measuring the user's blood sugar level using the external device (202) at the second time.

[0286] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of measuring, through the first sensor (211), a fourth sensing value representing a second biosignal of the user at the second time.

[0287] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of obtaining information representing a second blood sugar level of the user measured at the second point in time by the external device (202) through the communication circuit (290).

[0288] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of obtaining the calibration data based on the fourth sensing value representing the second biosignal and the second blood sugar value.

[0289] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining a third time point different from the first time point and the second time point to measure third blood glucose data of the user to obtain the calibration data based on determining that a difference between the first blood glucose value and the second blood glucose value is greater than a designated value.

[0290] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of displaying, through the display (260), third guide information for measuring the user's blood sugar level using the external device (202) at the third time point.

[0291] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of measuring a first value through the first sensor (211) after acquiring the calibration data.

[0292] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of confirming a blood sugar value corresponding to the first value using the calibration data.

[0293] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining the blood sugar value corresponding to the first value as the blood sugar value of the user.

[0294] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of measuring a second value through the first sensor (211).

[0295] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include updating the calibration data based on determining that a difference between the second value and the first value measured prior to the second value is greater than a designated value.

[0296] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining the first point in time based on a point in time at which the meal event is confirmed, when a meal event indicating that the user is eating is confirmed based on the first sensing value indicating at least one of a movement of the user or a heart rate of the user.

[0297] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of obtaining blood glucose values ​​measured by the external device (220) for a specified period of time through the communication circuit (290).

[0298] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining the first time point based on a time point at which the meal event is confirmed, when the meal event is confirmed based on confirming that the amount of change in the blood sugar values ​​during the specified time is greater than a specified value.

[0299] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining the first point in time based on a point in time at which an exercise event indicating that the user is exercising is identified based on the first sensed value indicating at least one of a movement of the user or a heart rate of the user.

[0300] According to one embodiment, a storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device (201) to perform at least one operation, wherein the at least one operation may include an operation of determining the first point in time based on a point in time at which the weather event is confirmed, when a weather event indicating that the user has woken up is confirmed based on the first sensing value indicating at least one of a movement of the user or a heart rate of the user.

[0301] The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects that are not mentioned will be clearly understood by a person having ordinary skill in the art to which the present disclosure pertains.

[0302] Electronic devices according to the various embodiments disclosed in this document may take various forms. Electronic devices may include, for example, portable communication devices (e.g., smartphones), computer devices, portable multimedia devices, portable medical devices, cameras, wearable devices, or home appliances. Electronic devices according to the embodiments disclosed in this document are not limited to the aforementioned devices.

[0303] The various embodiments of this document and the terminology used therein are not intended to limit the technical features described in this document to specific embodiments, but should be understood to include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another component (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0304] The term "module" used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0305] Various embodiments of the present document may be implemented as software (e.g., program (140)) including one or more commands stored in a storage medium (e.g., built-in memory (136) or external memory (138)) readable by a machine (e.g., electronic device (101, 201)). For example, a processor (e.g., processor (120, 220)) of a machine (e.g., electronic device (101, 201)) may call at least one command among the one or more commands stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the called at least one command. The one or more commands may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' means a device in which the storage medium is tangible, It simply means that it does not contain signals (e.g. electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on a storage medium.

[0306] According to one embodiment, the method according to various embodiments disclosed in the present document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smart phones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0307] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In a wearable electronic device (201), First sensor (211); At least one second sensor (212); display (260); Communication circuit (290); and at least one processor (220); and Includes a memory (210) for storing instructions, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: Based on the first sensing value confirmed through the at least one second sensor, a first time point is confirmed to measure first blood sugar data of a user wearing the wearable electronic device, Through the above display, first guide information is displayed to measure the user's blood sugar level using an external device (202) at the first time point, Through the first sensor, a second sensing value representing the first biosignal of the user at the first time point is measured, Through the above communication circuit, information indicating the user's first blood sugar level measured at the first point in time by the external device is obtained, A wearable electronic device that causes calibration data to be acquired for determining a blood sugar level of the user corresponding to a sensing value representing the user's biosignal to be measured using the first sensor, based on the second sensing value representing the first biosignal and the first blood sugar level.

2. In paragraph 1, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: Based on the third sensing value confirmed through at least one second sensor, a second time point different from the first time point is confirmed to measure the second blood sugar data of the user, Through the above display, second guide information is displayed to measure the user's blood sugar level using the external device at the second time point, Through the first sensor, a fourth sensing value representing the second biosignal of the user at the second time is measured, Through the above communication circuit, information indicating the second blood sugar level of the user measured at the second point in time by the external device is obtained, A wearable electronic device that causes the calibration data to be acquired based on the fourth sensing value representing the second biosignal and the second blood sugar value.

3. In any one of paragraphs 1 and 2, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: Based on the determination that the difference between the first blood sugar value and the second blood sugar value is greater than a specified value, a third time point different from the first time point and the second time point is determined to measure the third blood sugar data of the user to obtain the calibration data, A wearable electronic device that causes third guide information to be displayed through the display to measure the user's blood sugar level using the external device at the third time point.

4. In any one of paragraphs 1 to 3, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: After obtaining the above calibration data, the first value is measured through the first sensor, Using the above calibration data, the blood sugar value corresponding to the first value is confirmed, A wearable electronic device that causes the blood sugar value corresponding to the first value to be determined as the blood sugar value of the user.

5. In any one of paragraphs 1 to 4, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: Through the first sensor, the second value is measured, A wearable electronic device that causes the calibration data to be updated based on determining that a difference between the second value and the first value measured prior to the second value is greater than a specified value.

6. In any one of paragraphs 1 to 5, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: A wearable electronic device that causes the first point in time to be determined based on the time at which the meal event is identified, when a meal event indicating that the user is eating is identified based on the first sensing value representing at least one of the user's movement or the user's heart rate.

7. In any one of paragraphs 1 to 6, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: Through the above communication circuit, blood sugar values ​​measured for a specified period of time by the external device including a continuous glucose monitoring system are obtained, A wearable electronic device that causes the first time point to be determined based on the time point at which the meal event is confirmed, when the meal event is confirmed based on determining that the amount of change in the blood sugar values ​​during the specified time is greater than a specified value.

8. In any one of paragraphs 1 to 7, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: A wearable electronic device that causes the first point in time to be determined based on the time at which the exercise event is identified, when an exercise event indicating that the user is exercising is identified based on the first sensing value representing at least one of the user's movement or the user's heart rate.

9. In any one of paragraphs 1 to 8, The above instructions, when executed by the at least one processor, cause the wearable electronic device to: A wearable electronic device that causes the first point in time to be determined based on the time at which the weather event is confirmed, when a weather event indicating that the user has woken up is confirmed based on the first sensing value indicating at least one of the user's movement or the user's heart rate.

10. In any one of paragraphs 1 to 9, A wearable electronic device wherein the calibration data includes a calibration curve indicating a relationship between at least one blood sugar value of the user measured by the external device and at least one sensing value representing at least one biosignal of the user measured via the first sensor.

11. In the operating method of a wearable electronic device (201), An operation of determining a first point in time to measure first blood sugar data of a user wearing the wearable electronic device based on a first sensing value confirmed through at least one second sensor (212) included in the wearable electronic device; An action of displaying first guide information for measuring the user's blood sugar level using an external device (202) at the first time point through a display (260) included in the wearable electronic device; An operation of measuring a second sensing value representing a first biosignal of the user at the first point in time through a first sensor (211) included in the wearable electronic device; An operation of obtaining information indicating the user's first blood sugar level measured at the first point in time by the external device through a communication circuit (290) included in the wearable electronic device; and A method of operating a wearable electronic device, comprising: obtaining calibration data for determining a blood sugar level of the user corresponding to a sensing value representing the user's biosignal to be measured using the first sensor, based on the second sensing value representing the first biosignal and the first blood sugar level.

12. In paragraph 11, An operation of confirming a second time point different from the first time point to measure the second blood sugar data of the user to obtain the calibration data based on the third sensing value confirmed through the at least one second sensor; An action of displaying second guide information through the display to measure the user's blood sugar level using the external device at the second time; An action of measuring a fourth sensing value representing a second biosignal of the user at the second time point through the first sensor; An operation of obtaining information representing the second blood sugar level of the user measured at the second point in time by the external device through the communication circuit; and A method of operating a wearable electronic device, further comprising an operation of obtaining the calibration data based on the fourth sensing value representing the second biosignal and the second blood sugar value.

13. In any one of paragraphs 11 to 12, An operation of determining a third time point different from the first time point and the second time point to measure the third blood sugar data of the user to obtain the calibration data based on determining that the difference between the first blood sugar value and the second blood sugar value is greater than a specified value; and A method of operating a wearable electronic device further comprising an action of displaying third guide information for measuring the user's blood sugar level using the external device at the third time point through the display.

14. In any one of paragraphs 11 to 13, After obtaining the above calibration data, an operation of measuring a first value through the first sensor; An operation of confirming a blood sugar value corresponding to the first value using the above calibration data; and A method of operating a wearable electronic device further comprising an action of determining the blood sugar value corresponding to the first value as the blood sugar value of the user.

15. A storage medium storing computer-readable instructions, wherein the instructions, when executed by at least one processor (220) of a wearable electronic device (201), cause the wearable electronic device to perform at least one operation, the at least one operation being: An operation of determining a first point in time to measure first blood sugar data of a user wearing the wearable electronic device based on a first sensing value confirmed through at least one second sensor (212) included in the wearable electronic device; An action of displaying first guide information for measuring the user's blood sugar level using an external device at the first time point through a display (260) included in the wearable electronic device; An operation of measuring a second sensing value representing a first biosignal of the user through a first sensor (211) included in the wearable electronic device; An operation of obtaining information indicating the user's first blood sugar level measured at the first point in time by the external device through a communication circuit (290) included in the wearable electronic device; and A storage medium including an operation of obtaining calibration data for determining a blood sugar value of the user corresponding to a sensing value representing the user's biosignal to be measured using the first sensor, based on the second sensing value representing the first biosignal and the first blood sugar value.

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