Method for outputting information related to age and electronic device performing method

Abstract

An electronic device according to an embodiment: receives, from an external electronic device, a first advanced glycation end-product (AGE) dataset of a user of the external electronic device for a first measurement session; obtains a first AGE score for the first measurement session on the basis of the first AGE dataset; generates a target AGE indicator on the basis of the first AGE score; generates, on the basis of health data about the user, a plurality of contribution indicators for a plurality of contribution factors corresponding to the target AGE indicator; calculates a similarity between the target AGE indicator and each of the plurality of contribution indicators; and outputs, through a display (160), the target AGE indicator and the plurality of contribution indicators on the basis of similarities.

Description

Method for outputting information related to AGE and electronic device performing the method

[0001] One embodiment relates to a technique for outputting information, and more specifically to a technique for outputting information about an AGE associated with a user.

[0002] Advanced glycation end products (AGEs) are glycated fats or proteins. AGEs are substances associated with aging and can contribute to the progression and worsening of degenerative diseases such as diabetes, arteriosclerosis, chronic renal failure, and Alzheimer's disease. Various factors influence the formation of AGEs, including diet, lack of exercise, obesity, stress, and sleep deprivation. While high AGE levels do not necessarily directly lead to disease, they can influence the development of other diseases, so managing AGE levels in daily life may be necessary.

[0003] 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.

[0004] In one embodiment, an electronic device includes a display, at least one processor including processing circuitry, and a memory including one or more storage media storing instructions, wherein the instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: receive from an external electronic device a first set of advanced glycation end-product (AGE) data of a user of the external electronic device for a first measurement session.

[0005] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: obtain a first AGE score for a first measurement session based on a first AGE data set.

[0006] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: generate a target AGE index based on the first AGE score.

[0007] In one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: generate a plurality of contributing indicators for a plurality of contributing factors corresponding to a target AGE indicator, based on health data about the user.

[0008] In one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: calculate a similarity between a target AGE metric and each of a plurality of contributing metrics.

[0009] In one embodiment, when the instructions are individually or collectively executed by at least one processor, the electronic device may: output a target AGE indicator and a plurality of contributing indicators through the display based on the similarities.

[0010] In one embodiment, a method performed by an electronic device may include receiving a first set of AGE data of a user of the external electronic device for a first measurement session from the external electronic device.

[0011] According to one embodiment, a method performed by an electronic device may include obtaining a first AGE score for a first measurement session based on a first AGE data set.

[0012] According to one embodiment, a method performed by an electronic device may include generating a target AGE indicator based on a first AGE score.

[0013] In one embodiment, a method performed by an electronic device may include generating a plurality of contributing indicators for a plurality of contributing factors corresponding to a target AGE indicator based on health data about the user.

[0014] According to one embodiment, a method performed by an electronic device may include calculating a similarity between a target AGE indicator and each of a plurality of contributing indicators.

[0015] According to one embodiment, a method performed by an electronic device may include outputting a target AGE indicator and a plurality of contributing indicators through a display based on similarities.

[0016] According to one embodiment, an electronic device includes a photoplethysmogram (PPG) sensor, at least one processor including processing circuitry, and a memory including one or more storage media storing instructions, wherein the instructions, when individually or collectively executed by the at least one processor, cause the electronic device to: output light having a target wavelength through the PPG sensor when the electronic device is worn by a user.

[0017] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: generate a reception signal by receiving reflected light through the PPG sensor.

[0018] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: determine an AGE value based on a received signal.

[0019] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: determine a first representative AGE value for a first target time based on the AGE value.

[0020] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: generate a first AGE data set for a first measurement session based on a first representative AGE value.

[0021] According to one embodiment, the instructions, when individually or collectively executed by at least one processor, may cause the electronic device to: transmit a first AGE data set to an external electronic device.

[0022] FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

[0023] FIGS. 2A and 2B are perspective views of an electronic device according to one embodiment.

[0024] FIG. 3 is an exploded perspective view of an electronic device according to one embodiment.

[0025] FIG. 4 is a flowchart of a method for transmitting a first AGE data set to an external electronic device according to one embodiment.

[0026] FIG. 5 is a flowchart of a method for outputting light when the user's state is a sleep state, according to one embodiment.

[0027] FIG. 6 is a flowchart of a method for outputting a target AGE indicator according to one embodiment.

[0028] FIG. 7 is a flowchart of a method for obtaining a first AGE score according to one embodiment.

[0029] FIG. 8 illustrates a screen on which a target AGE indicator is output, according to one embodiment.

[0030] FIG. 9 is a flowchart of a method for outputting a target AGE indicator and multiple contributing indicators according to one embodiment.

[0031] FIG. 10 is a flowchart of a method for obtaining a first AGE score based on body data and a first AGE data set, according to one embodiment.

[0032] FIG. 11 is a flowchart of a method for generating a target AGE index based on period information and a first AGE score, according to one embodiment.

[0033] FIG. 12 illustrates a method for calculating similarity between a target AGE indicator and each of a plurality of contributing indicators, according to one embodiment.

[0034] FIG. 13 is a flowchart of a method for outputting a target AGE indicator and a plurality of contribution indicators based on output positions of a plurality of contribution indicators, according to one embodiment.

[0035] FIG. 14 illustrates a screen in which a target AGE indicator and multiple contribution indicators are output, according to one embodiment.

[0036] FIG. 15 is a flowchart of a method for outputting a suggestion message so that an electronic device can obtain data for additional contributing elements, according to one embodiment.

[0037] FIG. 16 illustrates a system including a wearable device, an electronic device, and a server according to one embodiment.

[0038] Hereinafter, various embodiments of the present disclosure will be described with reference to the attached drawings. However, this is not intended to limit the present disclosure to specific embodiments, and it should be understood that the present disclosure encompasses various modifications, equivalents, and / or alternatives of the embodiments.

[0039] FIG. 1 is a block diagram of an electronic device within a network environment according to one embodiment.

[0040] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to an embodiment. 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). According to an 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)).

[0041] The processor (120) may control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) by executing, for example, software (e.g., a program (140)), and may perform various data processing or calculations. According to one embodiment, as at least a part of the data processing or calculation, the processor (120) may store a command or data received from another component (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the command or data stored in the volatile memory (132), and store the resulting 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 a secondary 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 therewith. For example, if the electronic device (101) includes a main processor (121) and a secondary processor (123), the secondary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a specified function. The secondary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0042] The auxiliary processor (123) may control at least a part 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, on the electronic device (101) itself where the artificial intelligence model is executed, 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.

[0043] 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).

[0044] 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).

[0045] 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).

[0046] 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. According to one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0047] 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.

[0048] 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).

[0049] 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.

[0050] 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.

[0051] 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).

[0052] A 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.

[0053] 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.

[0054] 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).

[0055] 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.

[0056] 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).

[0057] 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) may 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.

[0058] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). According to 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). According to 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, for example, by 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. According to 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).

[0059] In one embodiment, the antenna module (197) may form 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.

[0060] 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)).

[0061] 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 by 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 using 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.

[0062] 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.

[0063] 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.

[0064] 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).

[0065] Various embodiments of the present document may be implemented as software (e.g., a program (140)) including one or more commands stored in a storage medium (e.g., an internal memory (136) or an external memory (138)) readable by a machine (e.g., an electronic device (101)). For example, a processor (e.g., a processor (120)) of the machine (e.g., an electronic device (101)) 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 at least one command called. 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' simply means that the storage medium is a tangible device and 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 the storage medium.

[0066] According to one embodiment, the method according to the 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) via 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.

[0067] 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.

[0068] FIGS. 2A and 2B are perspective views of an electronic device according to one embodiment.

[0069] Referring to FIGS. 2A and 2B , an electronic device (200) according to one embodiment (e.g., the electronic device (101) of FIG. 1 ) may include a housing (210) including a first side (or front side) (210A), a second side (or back side) (210B), and a side surface (210C) surrounding a space between the first side (210A) and the second side (210B), and a fastening member (250, 260) connected to at least a portion of the housing (210) and configured to detachably fasten the electronic device (200) to a part of a user's body (e.g., a wrist, an ankle, etc.). In one embodiment (not shown), the housing may also refer to a structure forming a portion of the first side (210A), the second side (210B), and the side surface (210C) of FIG. 2A . In one embodiment, the first side (210A) may be formed by a front plate (201) that is at least partially substantially transparent (e.g., a glass plate or a polymer plate comprising various coating layers). The second side (210B) may be formed by a substantially opaque back plate (207). The back plate (207) may be formed of, for example, coated or colored glass, ceramic, polymer, metal (e.g., aluminum, stainless steel (STS), or magnesium), or a combination of at least two of the foregoing materials. The side surface (210C) may be formed by a side bezel structure (or “side member”) (206) that is coupled to the front plate (201) and the back plate (207) and comprises a metal and / or a polymer. In some embodiments, the back plate (207) and the side bezel structure (206) may be formed integrally and comprise the same material (e.g., a metal material such as aluminum). The above-mentioned fastening member (250, 260) may be formed of various materials and shapes. The integral and multiple unit links may be formed to be mutually movable by a combination of at least two of the above-mentioned materials, such as woven fabric, leather, rubber, urethane, metal, ceramic, or a combination of the above-mentioned materials.

[0070] According to one embodiment, the electronic device (200) may include at least one of a display (220, see FIG. 3), an audio module (205, 208), a sensor module (211), a key input device (202, 203, 204), and a connector hole (209). In some embodiments, the electronic device (200) may omit at least one of the components (e.g., the key input device (202, 203, 204), or the connector hole (209)) or may additionally include other components.

[0071] The display (220) may be exposed, for example, through a significant portion of the front plate (201). The shape of the display (220) may correspond to the shape of the front plate (201), and may be in various shapes such as circular, oval, or polygonal. The display (220) may be combined with or disposed adjacent to a touch detection circuit, a pressure sensor capable of measuring the intensity (pressure) of a touch, and / or a fingerprint sensor.

[0072] The audio module (205, 208) may include a microphone hole (205) and a speaker hole (208). The microphone hole (205) may have a microphone positioned therein for acquiring external sounds, and in some embodiments, multiple microphones may be positioned therein to detect the direction of sounds. The speaker hole (208) may be used as an external speaker and a receiver for calls. In some embodiments, the speaker hole (208) and the microphone hole (205) may be implemented as a single hole, or a speaker may be included without the speaker hole (208) (e.g., a piezo speaker).

[0073] The sensor module (211) can generate an electric signal or data value corresponding to an internal operating state of the electronic device (200) or an external environmental state. The sensor module (211) can include, for example, a biometric sensor module (211) (e.g., an HRM sensor) disposed on the second surface (210B) of the housing (210). The electronic device (200) can further include at least one of a sensor module not shown, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0074] The sensor module (211) may include electrode regions (213, 214) forming a part of the surface of the electronic device (200) and a biosignal detection circuit (not shown) (e.g., an integrated circuit, IC) electrically connected to the electrode regions (213, 214). For example, the electrode regions (213, 214) may include a first electrode region (213) and a second electrode region (214) arranged on a second surface (210B) of the housing (210). The sensor module (211) may be configured such that the electrode regions (213, 214) obtain an electric signal from a part of the user's body, and the biosignal detection circuit detects bioinformation of the user based on the electric signal. According to one embodiment, the electronic device (200) may include a plurality of electrode regions (not shown). For example, the electronic device (200) may include electrode regions (e.g., a third electrode region, a fourth electrode region) (not shown) arranged on a side surface (210C). The electronic device (200) may be energized when at least two or more of the plurality of electrode regions (e.g., the first electrode region (213), the second electrode region (214), the third electrode region, and the fourth electrode region) come into contact with the user's skin, and the electronic device (200) may obtain an electric signal from a part of the user's body through the energization. The electronic device (200) may obtain a user's biosignal based on the electric signal in the circuit for detecting a biosignal. For example, the electronic device (200) may obtain a user's biosignal based on a difference in electrostatic capacity that occurs when at least two or more of the plurality of electrode regions (e.g., the first electrode region (213), the second electrode region (214), the third electrode region, and the fourth electrode region) come into contact with the user's skin in the circuit for detecting a biosignal. According to one embodiment, biosignals obtained from multiple electrode regions may be provided to a processor of an electronic device (200) (e.g., processor (120) of FIG. 1).

[0075] According to one embodiment, the sensor module (211) may include a photoplethysmogram (PPG) sensor. The PPG sensor may include an ultra violet (UV) light emitting diode (LED) that emits light and a photo diode (PD) that receives reflected light. For example, the wavelength of light emitted through the UV LED may be in a band of approximately 300 nm (nanometer) to 400 nm. When the electronic device (200) is worn by a user, the UV LED and the PD may be arranged on the electronic device (200) so as to be in contact with the user's skin. According to one embodiment, the sensor module (211) may include a plurality of light-emitting elements and a plurality of light-receiving elements. The plurality of light-emitting elements may include a plurality of LEDs corresponding to each of a plurality of wavelength bands, and the plurality of light-receiving elements may include a plurality of PDs corresponding to each of a plurality of wavelength bands. For example, a sensor module (e.g., an optical sensor) may include a plurality of LEDs and a plurality of PDs that emit and receive at least one of UV, blue, red, green, or IR (Infrared) light. For example, the sensor module (211) may include an ECG (electrocardiograph) sensor, an electrical wearable sensor, and an electrical proximity sensor.

[0076] According to one embodiment, a temperature sensor (not shown) may be included on the second surface (210B) of the electronic device (200). The temperature sensor may measure the user's skin temperature or body temperature by reflecting the characteristics of electromagnetic waves radiated by an object according to its temperature. For example, the temperature sensor may include a non-contact IR temperature sensor. For example, the temperature sensor may include a temperature sensor that measures the temperature of the temperature sensor because the temperature of the sensor may affect the sensing operation due to the characteristics of the non-contact temperature sensor. For example, the temperature sensor that measures the temperature of the temperature sensor (e.g., the internal temperature of the electronic device (200)) may include a thermistor. For example, the object may have a temperature higher than absolute zero K (-273.15°C) and reflect electromagnetic waves of a wavelength corresponding to the temperature. As the temperature increases, the wavelength of the radiated electromagnetic waves may become shorter and the amount of radiated energy may increase. A temperature sensor can detect temperature by utilizing the Seebeck effect, which generates an electromotive force depending on the temperature difference between the hot junction and the cold junction of an internal thermopile.

[0077] The key input devices (202, 203, 204) may include a wheel key (202) disposed on a first side (210A) of the housing (210) and rotatable in at least one direction, and / or a side key button (203, 204) disposed on a side surface (210C) of the housing (210). The wheel key may have a shape corresponding to the shape of the front plate (201). In one embodiment, the electronic device (200) may not include some or all of the above-mentioned key input devices (202, 203, 204), and the key input devices (202, 203, 204) that are not included may be implemented in another form, such as a soft key, on the display (220). The connector hole (209) can accommodate a connector (e.g., a USB connector) for transmitting and receiving power and / or data with an external electronic device, and can include another connector hole (not shown) for receiving a connector for transmitting and receiving audio signals with the external electronic device. The electronic device (200) can further include, for example, a connector cover (not shown) that covers at least a portion of the connector hole (209) and blocks the inflow of external foreign substances into the connector hole.

[0078] The fastening member (250, 260) can be detachably fastened to at least a portion of the housing (210) using a locking member (251, 261). The fastening member (250, 260) can include one or more of a fixing member (252), a fixing member fastening hole (253), a band guide member (254), and a band fastening ring (255).

[0079] The fixing member (252) can be configured to fix the housing (210) and the fastening members (250, 260) to a part of the user's body (e.g., wrist, ankle, etc.). The fastening member fastening hole (253) can fix the housing (210) and the fastening members (250, 260) to a part of the user's body in response to the fastening member (252). The band guide member (254) is configured to limit the range of movement of the fastening member (252) when the fastening member (252) is fastened to the fastening member fastening hole (253), thereby allowing the fastening members (250, 260) to be fastened in close contact with a part of the user's body. The band fixing ring (255) can limit the range of movement of the fastening members (250, 260) when the fastening member (252) and the fastening member fastening hole (253) are fastened.

[0080] Referring to FIG. 3, an electronic device (300) (e.g., the electronic device (101) of FIG. 1 or the electronic device (200) of FIG. 2) may include a side bezel structure (310), a wheel key (320) (e.g., the key input device (202) of FIGS. 2A and 2B), a front plate (201), a display (220), a first antenna (350), a second antenna (355), a support member (360) (e.g., a bracket), a battery (370), a printed circuit board (380), a sealing member (390), a rear plate (393), and fastening members (395, 397) (e.g., the fastening members (250, 260) of FIGS. 2A and 2B). At least one of the components of the electronic device (300) may be identical or similar to at least one of the components of the electronic device (200) of FIG. 1 or FIG. 2, and any overlapping descriptions will be omitted below. The support member (360) may be disposed inside the electronic device (300) and connected to the side bezel structure (310), or may be formed integrally with the side bezel structure (310). The support member (360) may be formed of, for example, a metal material and / or a non-metallic (e.g., a polymer) material. The support member (360) may have a display (220) coupled to one surface and a printed circuit board (380) coupled to the other surface. A processor, a memory, and / or an interface may be mounted on the printed circuit board (380). The processor may include, for example, one or more of a central processing unit, an application processor, a GPU (graphics processing unit), an application processor, a sensor processor, or a communication processor.

[0081] The memory may include, for example, volatile memory or non-volatile memory. The interface may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, and / or an audio interface. The interface may electrically or physically connect the electronic device (300) to an external electronic device, for example, and may include a USB connector, an SD card / MMC connector, or an audio connector.

[0082] The battery (370) is a device for supplying power to at least one component of the electronic device (300), and may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell. At least a portion of the battery (370) may be disposed substantially on the same plane as, for example, the printed circuit board (380). The battery (370) may be disposed integrally within the electronic device (300), or may be disposed detachably from the electronic device (300).

[0083] The first antenna (350) may be positioned between the display (220) and the support member (360). The first antenna (350) may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and / or a magnetic secure transmission (MST) antenna. The first antenna (350) may, for example, perform short-range communication with an external device, wirelessly transmit and receive power required for charging, and transmit a magnetic-based signal including a short-range communication signal or payment data. In one embodiment, the antenna structure may be formed by a portion or a combination of the side bezel structure (310) and / or the support member (360).

[0084] The second antenna (355) may be disposed between the printed circuit board (380) and the back plate (393). The second antenna (355) may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and / or a magnetic secure transmission (MST) antenna. The second antenna (355) may, for example, perform short-range communication with an external device, wirelessly transmit and receive power required for charging, and transmit a magnetic-based signal including a short-range communication signal or payment data. In one embodiment, the antenna structure may be formed by a portion or a combination of the side bezel structure (310) and / or the back plate (393).

[0085] A sealing member (390) may be positioned between the side bezel structure (310) and the rear plate (393). The sealing member (390) may be configured to block moisture and foreign substances from entering the space surrounded by the side bezel structure (310) and the rear plate (393) from the outside.

[0086] Advanced glycation end products (AGEs) are substances that are created when proteins or fats are glycated and glycated. Examples include carboxyethyl-lysine (CEL), carboxymethyl-lysine (CML), methylglyoxal-derived hydroimidazolone 1 (MGH1), and pentosidine. AGEs are substances associated with aging and can progress and worsen degenerative diseases such as diabetes, arteriosclerosis, chronic renal failure, and Alzheimer's disease. Various factors affect the formation of AGEs, including diet, lack of exercise, obesity, stress, and lack of sleep. AGEs accumulate in various parts of the human body (e.g., organs, muscles, joints, blood vessels, skin), and can be associated with health indicators related to aging, cancer, cardiovascular disease, and complications in diabetic patients. Although high AGE levels do not necessarily directly lead to disease onset, they can influence the development of other diseases, necessitating management of AGE levels in daily life. A method for providing users with information related to AGE is described in detail below, with reference to Figures 4 through 15.

[0087] FIG. 4 is a flowchart of a method for transmitting a first AGE data set to an external electronic device according to one embodiment.

[0088] The following operations 410 to 460 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1, the electronic device (200) of FIGS. 2A and 2B, or the electronic device (300) of FIG. 3). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1), a memory (e.g., the memory (130) of FIG. 1), a sensor module (e.g., the sensor module (210) of FIGS. 2A and 2B or a PPG sensor), and a display (e.g., the display module (160) of FIG. 1 or the display (220) of FIG. 3). The electronic device may be a wearable device such as a watch or a ring, and is not limited to the described embodiments.

[0089] In operation 410, the electronic device may output light having a target wavelength through the PPG sensor. For example, the UV LED of the PPG sensor may output light having a target wavelength. The target wavelength may be a band of approximately 300 nm to 400 nm. When the light emitted through the PPG sensor penetrates the user's skin and irradiates AGEs in blood vessels, the AGEs fluoresce. According to one embodiment, the electronic device may irradiate UV light from a sensor module (e.g., the sensor module (211) of FIG. 2B) toward the user's skin and then measure a fluorescence signal generated when the irradiated UV light reacts with advanced glycation end products (AGEs) in the user's skin.

[0090] According to one embodiment, the electronic device may determine whether the user wearing the electronic device is in a preset state (e.g., a sleeping state) and output light if the user is in a sleeping state. A method for outputting light if the user is in a sleeping state is described in detail below with reference to FIG. 5 .

[0091] In operation 420, the electronic device may generate a reception signal by receiving reflected light through the PPG sensor. For example, the PD of the PPG sensor may generate a reception signal by receiving light reflected by the AGE. The magnitude of the reception signal may increase as the amount of fluorescent AGE increases.

[0092] In operation 430, the electronic device can determine an AGE value based on a received signal generated by the PPG sensor. The primary AGE value determined based on the received signal can have an index value between 0 and 5. For example, as the amount of AGE increases, the value of the AGE value can increase, and as the amount of AGE decreases, the value of the AGE value can decrease. Contrary to the above example, the index values ​​can be set such that as the amount of AGE increases, the value of the AGE value decreases, and as the amount of AGE decreases, the value of the AGE value increases. Additionally, the electronic device can obtain a secondary AGE value based on the primary AGE value. For example, the secondary AGE value can be obtained by multiplying the primary AGE value by a preset value (e.g., 100).

[0093] According to one embodiment, operations 410 to 430 may be performed multiple times for a first target time. For example, if the current time is 2:00 AM, the first target time may be 2:00 AM, and operations 410 to 430 may be performed multiple times during a preset time period to generate multiple AGE values.

[0094] In operation 440, the electronic device may determine a first representative AGE value for the first target time based on the AGE value. For example, the electronic device may determine the first representative AGE value for the first target time based on a plurality of AGE values ​​associated with the first target time. An average value of the plurality of AGE values ​​may be determined as the first representative AGE value. At least one outlier among the plurality of AGE values ​​may be determined. An AGE value determined as an outlier may be excluded during the process of determining the first representative AGE value.

[0095] In operation 450, the electronic device may generate a first AGE data set for a first measurement session based on a first representative AGE value. The first measurement session may be a session for a continuous sleep time. For example, if the user slept from 1:00 AM to 6:30 AM, a first representative AGE value may be determined for 1:00 AM, a second representative AGE value may be determined for 2:00 AM, a third representative AGE value may be determined for 3:00 AM, a fourth representative AGE value may be determined for 4:00 AM, a fifth representative AGE value may be determined for 5:00 AM, and a sixth representative AGE value may be determined for 6:00 AM. The electronic device may generate the first AGE data set for the first measurement session to include the first representative AGE value through the sixth representative AGE value.

[0096] In operation 460, the electronic device may transmit the first AGE data set to an external electronic device directly or indirectly connected to the electronic device. For example, the external electronic device may be a mobile terminal such as a smartphone. As a non-limiting example, the external electronic device may be a server (e.g., server (108) of FIG. 1).

[0097] The external electronic device may have higher data processing capabilities (e.g., speed, volume) than the electronic device. The external electronic device may obtain various data or information about the user (e.g., the user of the electronic device) and, by processing the first AGE data set together with other information, provide the user with processed information related to AGE. A method for providing AGE-related information to the user, performed by the external electronic device, is described in detail below with reference to FIGS. 9 through 16.

[0098] FIG. 5 is a flowchart of a method for outputting light when the user's state is a sleep state, according to one embodiment.

[0099] Operations 510 and 520 below may be associated with operation 410 described above with reference to FIG. 4. For example, operation 410 may include operations 510 and 520. Operations 510 and 520 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1 or the electronic device (200) of FIGS. 2A and 2B). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1), a memory (e.g., the memory (130) of FIG. 1), a sensor module (e.g., the sensor module (210) of FIGS. 2A and 2B or a PPG sensor), and a display (e.g., the display module (160) of FIG. 1 or the display (220) of FIG. 3).

[0100] In operation 510, the electronic device can determine whether the user's state is a sleeping state. For example, the electronic device can obtain movement information using a sensor module (e.g., the sensor module (176) of FIG. 1) and can be configured to generate a movement signal (e.g., an acceleration signal, an angular velocity signal, a geomagnetic signal) as data used to obtain the movement information. For example, the sensor module can include an inertial measurement unit (IMU) configured with an acceleration sensor, a gyroscope (or an angular velocity sensor), and a geomagnetic sensor (magnetometer). The electronic device can determine the user's state as a sleeping state using the acceleration sensor or the IMU (inertial measurement unit) when the user's movement is limited.

[0101] In operation 520, the electronic device can output light having a target wavelength through the PPG sensor when the user's state is a sleeping state.

[0102] FIG. 6 is a flowchart of a method for outputting a target AGE indicator according to one embodiment.

[0103] The operations 610 to 630 below may be performed after the operation 450 described above is performed with reference to FIG. 4. The operations 610 to 630 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1 or the electronic device (200) of FIGS. 2A and 2B). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1), a memory (e.g., the memory (130) of FIG. 1), a sensor module (e.g., the sensor module (210) of FIGS. 2A and 2B or a PPG sensor), and a display (e.g., the display module (160) of FIG. 1 or the display (220) of FIG. 3).

[0104] In operation 610, the electronic device may obtain a first AGE score for the first measurement session based on the first AGE data set. The first AGE score may be higher as the AGE value decreases. A lower AGE value may indicate a lower amount of AGE in the user's blood, which may indicate that the user is relatively healthy. The user's health level corresponding to the AGE value may be expressed as a score, and the lower the AGE value, the higher the AGE score corresponding to the AGE value.

[0105] For example, an electronic device can obtain a first AGE score corresponding to the input of the first AGE data set using a stored library. For example, the library may be an artificial intelligence model based on a neural network.

[0106] In operation 620, the electronic device may generate a target AGE index based on the first AGE score. For example, the electronic device may accumulate the first AGE score in association with the date the first AGE score was generated. The electronic device may accumulate the first AGE score so as to be associated with AGE scores obtained prior to obtaining the first AGE score. The electronic device may generate the target AGE index using the accumulated AGE scores. For example, the electronic device may generate the target AGE index by graphing the AGE scores so that the scores appear along with their associated dates. The target AGE index may be a trajectory of AGE scores that changes over time.

[0107] In operation 630, the electronic device may output a target AGE indicator. For example, the electronic device may output the target AGE indicator via a display. The target AGE indicator may be configured and output as part of a user interface (UI).

[0108] FIG. 7 is a flowchart of a method for obtaining a first AGE score according to one embodiment.

[0109] Operations 710 and 720 below may be associated with operation 610 described above with reference to FIG. 6 . For example, operation 610 may include operations 710 and 720. Operations 710 and 720 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1 or the electronic device (200) of FIGS. 2A and 2B ). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1 ), a memory (e.g., the memory (130) of FIG. 1 ), a sensor module (e.g., the sensor module (210) of FIGS. 2A and 2B or a PPG sensor), and a display (e.g., the display module (160) of FIG. 1 or the display (220) of FIG. 3 ).

[0110] In operation 710, the electronic device may obtain the user's body data. For example, the body data may include at least one of height, weight, age, and gender.

[0111] In operation 720, the electronic device may obtain a first AGE score by processing the user's body data and the first AGE data set using an artificial intelligence model. For example, the electronic device may obtain a first AGE score by processing the user's age and the first AGE data set using an artificial intelligence model. Other body data (e.g., height, weight, or gender) other than the user's age may be further utilized to obtain the first AGE score.

[0112] For example, different first AGE scores may be obtained for the same first AGE data set depending on body data.

[0113] FIG. 8 illustrates a screen on which a target AGE indicator is output, according to one embodiment.

[0114] According to one embodiment, an electronic device (e.g., the electronic device (101) of FIG. 1 or the electronic device (200) of FIGS. 2A and 2B) may output a screen (810) on which a target AGE indicator (814) appears. The screen (810) on which the target AGE indicator (814) is output may include a UI (812) that may receive period information associated with the target AGE indicator (814) from the user. For example, if 7 days is selected by the user, a target AGE indicator (814) based on the AGE scores of the most recently generated 7 days may be output. For example, the AGE scores in the target AGE indicator (814) are shown to have a large degree of change, but the change in the AGE scores may not be large within a short period of time.

[0115] FIG. 9 is a flowchart of a method for outputting a target AGE indicator and multiple contributing indicators according to one embodiment.

[0116] The following operations 910 to 960 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1), a memory (e.g., the memory (130) of FIG. 1), and a display (e.g., the display module (160) of FIG. 1). The electronic device may be a mobile terminal such as a smart phone, and is not limited to the described embodiments.

[0117] In operation 910, the electronic device may receive a user's first AGE data set for a first measurement session from an external electronic device (e.g., the electronic device (200) of FIGS. 2A and 2B).

[0118] In operation 920, the electronic device may obtain a first AGE score for the first measurement session based on the first AGE data set. The description of operation 920 may be replaced with the description of operation 610 described above with reference to FIG. 6, and thus, redundant descriptions are omitted.

[0119] In operation 930, the electronic device may generate a target AGE index based on the first AGE score. The description of operation 930 may be replaced with the description of operation 620 described above with reference to FIG. 6, and thus, redundant descriptions are omitted.

[0120] In operation 940, the electronic device may generate multiple contribution indicators for multiple contributing factors corresponding to a target AGE indicator based on health data about the user. The electronic device may integrate data that can be recorded or stored about the user and manage them as health data. For example, the health data may include at least one of body data, activity data, food intake data, sleep data, and physiological data. A contribution factor may be determined based on the health data. A specific contribution factor may directly correspond to a single sub-data of the health data or may be extracted or obtained by a combination of two or more sub-data. For example, the contribution factor may include a stress factor, a weight factor, an exercise factor, a sleep factor, a food factor, and a blood sugar factor, but is not limited to the described embodiments. The stress factor may include at least one of a normal heart rate and a meditation time. The exercise factor may include at least one of calories burned and an exercise time. The food factor may include at least one of calories consumed and nutrients consumed. Sleep factors may include at least one of sleep duration, sleep heart rate, and sleep heart rate variability. Blood sugar factors may include glycated hemoglobin (HbA1C) levels.

[0121] The electronic device can generate a first contribution index for the first contributing factor. For example, if the first contributing factor is a stress factor, the electronic device can obtain the user's stress data from health data and generate a stress index for the stress factor based on the stress data. The electronic device can obtain the user's stress levels in advance. The electronic device can generate the stress index by displaying a graph showing the stress levels along with associated dates. The stress index can be a trajectory of the stress level as it changes over time.

[0122] The electronic device can generate a second contribution index for a second contributing factor. For example, if the second contributing factor is weight, the electronic device can obtain the user's weight data from health data and generate a weight index for the weight factor based on the weight data. The electronic device can obtain the user's weights in advance. The electronic device can generate the weight index by displaying a graph showing the weights along with associated dates. The weight index can be a trajectory of weights over time.

[0123] In one embodiment, a plurality of contributing factors may be preset. For example, default contributing factors may be set by the policy or algorithm of an application installed on the electronic device, and at least some of the default contributing factors may change when the application is updated. The electronic device may determine a plurality of contributing factors among the default contributing factors based on selection input received from the user. Contribution factors that the user does not wish to track may not be included in the plurality of contributing factors. The electronic device may provide the user with a dashboard as a UI for selecting at least some of the default contributing factors. Contribution factors for which insufficient data is available for generating contribution metrics may not be included in the plurality of contributing factors.

[0124] According to one embodiment, if there is insufficient data to generate a third contribution indicator for a third contribution indicator among the plurality of contributing factors, the electronic device may not generate the third contribution indicator. The electronic device may output a notification message that prompts the generation or recording of data for the third contribution indicator. For example, if there is insufficient data to generate a blood glucose indicator, the electronic device may output a notification message that prompts the generation or recording of blood glucose data as physiological data. The notification message may include a notification recommending the purchase of an external electronic device or sensor capable of generating blood glucose data.

[0125] At operation 950, the electronic device can calculate a similarity between the target AGE metric and each of the plurality of contributing metrics.

[0126] According to one embodiment, the electronic device may calculate a first similarity for a first contribution metric based on a target change trend between values ​​of the target AGE metric and a first change trend between values ​​of first contribution metric among the plurality of contribution metric. The electronic device may calculate a second similarity for a second contribution metric based on a target change trend between values ​​of the target AGE metric and a second change trend between values ​​of second contribution metric among the plurality of contribution metric.

[0127] A change trend can be expressed based on the rate of increase or decrease of values ​​over a specific period. For example, if during a first period, the values ​​of the target AGE metric increase, the values ​​of the first contributing metric increase, and the values ​​of the second contributing metric decrease, the first similarity for the first contributing metric may be calculated to be greater than the second similarity for the second contributing metric. In other words, the more similar the graph (or trajectory) of the contributing metric is to the graph of the target AGE metric, the higher the similarity can be calculated.

[0128] In operation 960, the electronic device may display a target AGE indicator and multiple contribution indicators based on the calculated similarities. For example, a contribution indicator with the highest similarity may be arranged closer to the target AGE indicator. When the target AGE indicator and multiple contribution indicators are arranged and displayed in a single column, the target AGE indicator may be arranged relatively at the top of the screen, and each of the multiple contribution indicators may be arranged on the screen such that the higher the similarity, the closer to the target AGE indicator they are arranged.

[0129] Users can perceive the correlation between a target AGE indicator and a contributing indicator for changes in AGE based on the distance between the target AGE indicator and the contributing indicator. For example, if the target AGE indicator and the weight indicator are closest to each other, indicating a trend toward an increase in the target AGE indicator and a trend toward an increase in weight, the user can perceive that the increase in weight likely contributed to the increase in AGE. Below, referring to Figures 13 and 14, a method for displaying the target AGE indicator and multiple contributing indicators based on the calculated similarities is described in detail.

[0130] In one embodiment, the electronic device may output a message that presents advice or solutions for managing AGE, in addition to the target AGE indicator and multiple contributing indicators. Through these solutions, the user can experience the improvement effect of the AGE indicator, identify effective improvement methods that are suitable for them, and maintain and / or promote effective improvement methods. A method for outputting the above message is described in detail below with reference to Figure 14.

[0131] FIG. 10 is a flowchart of a method for obtaining a first AGE score based on body data and a first AGE data set, according to one embodiment.

[0132] Operations 1010 and 1020 below may be associated with operation 920 described above with reference to FIG. 9 . For example, operation 920 may include operations 1010 and 1020. Operations 1010 and 1020 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1 ). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1 ), a memory (e.g., the memory (130) of FIG. 1 ), and a display (e.g., the display module (160) of FIG. 1 ).

[0133] In operation 1010, the electronic device may acquire body data among health data. For example, the body data may include height, weight, age, and / or gender.

[0134] In operation 1020, the electronic device may obtain a first AGE score by processing the body data and the first AGE data set using an artificial intelligence model. In one embodiment, different first AGE scores may be obtained for the same first AGE data set depending on the body data.

[0135] FIG. 11 is a flowchart of a method for generating a target AGE index based on period information and a first AGE score, according to one embodiment.

[0136] Operations 1110 and 1120 below may be associated with operation 930 described above with reference to FIG. 9 . For example, operation 930 may include operations 1110 and 1120. Operations 1110 and 1120 may be performed by an electronic device (e.g., electronic device (101) of FIG. 1 ). For example, the electronic device may include a processor (e.g., processor (120) of FIG. 1 ), a memory (e.g., memory (130) of FIG. 1 ), and a display (e.g., display module (160) of FIG. 1 ).

[0137] In operation 1110, the electronic device may obtain period information. For example, the electronic device may receive input of the period information through a user interface (e.g., UI (812) of FIG. 8) capable of receiving touch input and / or button input. According to one embodiment, a screen on which a target AGE indicator is displayed may include a UI capable of receiving period information associated with the target AGE indicator from a user. For example, the user may select one week, one month, one quarter, or one year as the period information through the UI. For example, the user may input any period as the period information.

[0138] In operation 1120, the electronic device may generate a target AGE indicator based on the period information and the first AGE score. For example, if a one-week period is selected, the target AGE indicator may be generated to display the AGE scores for the last seven days. For example, if a one-year period is selected, the target AGE indicator may be generated to display the AGE scores for the last year.

[0139] In one embodiment, multiple contributing metrics may also be changed to correspond to the target AGE metric.

[0140] FIG. 12 illustrates a method for calculating similarity between a target AGE indicator and each of a plurality of contributing indicators, according to one embodiment.

[0141] A first similarity between a target AGE indicator (1210) and a first contribution indicator (1220) may be calculated, and a second similarity between a target AGE indicator (1210) and a second contribution indicator (1230) may be calculated. Since the first change trend of the first contribution indicator (1220) is more similar to the target AGE indicator (1210) than the second change trend of the second contribution indicator (1220), the first similarity may be calculated to be higher than the second similarity.

[0142] FIG. 13 is a flowchart of a method for outputting a target AGE indicator and a plurality of contribution indicators based on output positions of a plurality of contribution indicators, according to one embodiment.

[0143] Operations 1310 and 1320 below may be associated with operation 960 described above with reference to FIG. 9 . For example, operation 960 may include operations 1310 and 1320. Operations 1310 and 1320 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1 ). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1 ), a memory (e.g., the memory (130) of FIG. 1 ), and a display (e.g., the display module (160) of FIG. 1 ).

[0144] In operation 1310, the electronic device may determine output positions of a plurality of contribution indicators associated with the target AGE indicator based on similarities between the target AGE indicator and the plurality of contribution indicators. For example, the output positions of the plurality of contribution indicators may be determined such that the higher the similarity, the closer the contribution indicator is to the target AGE indicator. When the target AGE indicator and the plurality of contribution indicators are aligned and output in a single column, the target AGE indicator may be positioned relatively at the top of the screen, and each of the plurality of contribution indicators may be positioned on the screen such that the higher the similarity, the closer the contribution indicator is to the target AGE indicator. The output position may be determined such that the contribution indicator with the highest similarity is positioned directly below the target AGE indicator.

[0145] In one embodiment, the electronic device may determine the output locations of multiple contributing indicators associated with a target AGE indicator based on preset exclusion factors. For example, if the data required to generate the contributing indicator is not available, the contributing indicator may be determined as an exclusion factor. For example, the exclusion factors may be selected by the user. For example, if the user has difficulty improving their sleeping environment, a contributing indicator for sleep may be selected as an exclusion factor. For contributing indicators set as exclusion factors, even if the similarity is calculated to be high, the output locations may not be determined.

[0146] In operation 1320, the electronic device can output the target AGE indicator and the plurality of contributing indicators through a display based on the output positions of the plurality of contributing indicators.

[0147] FIG. 14 illustrates a screen in which a target AGE indicator and multiple contribution indicators are output, according to one embodiment.

[0148] According to one embodiment, an electronic device (e.g., the electronic device (101) of FIG. 1) may output a screen (1400) on which a target AGE indicator (1420), a first contribution indicator (1422), and a second contribution indicator (1424) appear. The screen (1400) may include a UI (1410) that may receive period information associated with the target AGE indicator (1420) from a user. For example, if 7 days is selected by the user, a target AGE indicator (1420) based on the most recently generated AGE scores for the 7 days may be output.

[0149] The target AGE indicator (1420) may be output in the first area (1430). The first contribution indicator (1422) having the highest similarity to the target AGE indicator (1420) may be output in the second area (1432). The second contribution indicator (1424) having the second highest similarity to the target AGE indicator (1420) may be output in the third area (1434).

[0150] According to one embodiment, the electronic device may analyze the tendency between the target AGE indicator (1420) and the first contribution indicator (1422), and output a first comment on the analyzed tendency in the fourth area (1440). The electronic device may analyze the tendency between the target AGE indicator (1420) and the second contribution indicator (1424), and output a second comment on the analyzed tendency in the fourth area (1440). For example, if the size of the fourth area (1440) is limited, the electronic device may output a summary comment summarizing the first comment and the second comment in the fourth area (1440). A detailed view icon (e.g., an arrow) may be further output in the fourth area (1440), and when the user selects the detailed view icon, the screen may be switched to provide a detailed comment. The electronic device may provide a solution for managing the AGE value as a detailed comment. The electronic device may generate the solution based on the user's health data. For example, at least one of the first comment, the second comment, or the solution may be generated using a generative AI model. In one embodiment, the generative AI model may include a large language model (LLM). For example, the large language model may be trained in two stages: pre-training and fine-tuning. Pre-training is the process of allowing the large language model to process a large amount of text data and acquire general linguistic knowledge, and may include, for example, self-supervised learning to predict the next word using a sequence of previous words in a text sequence.Fine-tuning is the process of training a large-scale language model to be suitable for a specific domain or task (e.g., chatbot, translation, summarization, Q&A, first-order comments, second-order comments, or solutions). Based on a pre-trained model, it can be further supervised (or adaptive) using a dataset that fits the domain's purpose.

[0151] FIG. 15 is a flowchart of a method for outputting a suggestion message so that an electronic device can obtain data for additional contributing elements, according to one embodiment.

[0152] The operations 1510 and 1520 below may be associated with the operation 950 described above with reference to FIG. 9. For example, operations 1510 and 1520 may be performed after operation 950 is performed. Operations 1510 and 1520 may be performed by an electronic device (e.g., the electronic device (101) of FIG. 1 ). For example, the electronic device may include a processor (e.g., the processor (120) of FIG. 1 ), a memory (e.g., the memory (130) of FIG. 1 ), and a display (e.g., the display module (160) of FIG. 1 ).

[0153] In operation 1510, if the similarities between the target AGE indicator and the plurality of contributing indicators are below a preset threshold, the electronic device may determine additional contributing factors other than the plurality of contributing factors. If all similarities between the target AGE indicator and the plurality of contributing indicators are below the threshold, this may indicate that no contributing indicator properly reflects the trend of change in the currently measured target AGE indicator.

[0154] In one embodiment, the electronic device may determine, as an additional contributing factor, a contributing factor not included in the multiple contributing factors among the basic contributing factors that can be set by the policy or algorithm of the application installed on the electronic device. For example, if blood glucose data related to blood glucose is not acquired, the electronic device may determine the blood glucose factor as an additional contributing factor.

[0155] In operation 1520, the electronic device may output a suggestion message to enable the electronic device to obtain data on additional contributing factors. For example, if a blood glucose level is determined as an additional contributing factor, a suggestion message may be output indicating a method for obtaining blood glucose data. The suggestion message may include sales information for a device or sensor capable of generating blood glucose data. For example, if a sleep level is determined as an additional contributing factor, a suggestion message may be output prompting the user to enter sleep data.

[0156] An artificial intelligence model according to one embodiment may be an artificial neural network model written in a specified language and including a plurality of layers and / or operations (or calculations). The artificial intelligence model according to one embodiment may be one of a feedforward neural network (FNN), a deep neural network (DNN), a convolutional neural network (CNN), a region with convolution neural network (R-CNN), a region proposal network (RPN), a recurrent neural network (RNN), a stacking-based deep neural network (S-DNN), a state-space dynamic neural network (S-SDNN), a Deconvolution Network, a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, a Fully Convolutional Network, a long short-term memory (LSTM) Network, a Classification Network, or a combination of two or more of the above, but is not limited to the examples described above. An AI model according to one embodiment can be trained on specified data, acquire input data, perform operations based on the input data, and generate output data. In addition to, or alternatively including, a hardware structure, the AI ​​model may include a software structure.

[0157] FIG. 16 illustrates a system including a wearable device, an electronic device, and a server according to one embodiment.

[0158] According to one embodiment, the system may include a wearable device (1610) (e.g., electronic device (102) of FIG. 1 or electronic device (200) of FIGS. 2A and 2B), an electronic device (1620) (e.g., electronic device (101) of FIG. 1), and a server (1630) (e.g., server (108) of FIG. 1).

[0159] The wearable device (1610) can perform operations 410 to 460 described above with reference to FIG. 4.

[0160] According to one embodiment, the electronic device (1620) may transmit at least a portion of the first AGE data set and health data received from the wearable device (1610) to the server (1630). The data transmitted to the server (1630) may be anonymized data. The server (1630) may perform operations 910 to 960 described above with reference to FIG. 9 based on at least a portion of the first AGE data set and health data received. The server (1630) may output the target AGE indicator and a plurality of contributing indicators through the display of the electronic device (1620). The server (1630) may generate a solution for managing the AGE value and output the generated solution through the display of the electronic device (1620). As a non-limiting example, the server (1630) may generate the solution using an artificial intelligence model.

[0161] According to one embodiment, the electronic device (1620) may perform operations 910 to 950 described above with reference to FIG. 9. The electronic device (1620) may transmit analysis results related to the similarity between the target AGE indicator generated by performing operation 950 and each of the plurality of contributing indicators to the server (1630). The analysis results transmitted to the server (1630) may be anonymized data. The server (1630) may generate a solution for managing the AGE value based on the received analysis results, and output the generated solution through the display of the electronic device (1620).

[0162] If the server (1630) can acquire a large amount of data on multiple users as big data, the server (1630) can use the big data to derive new contributing factors that affect the AGE indicator and further consider the new contributing factors when creating a solution.

[0163] The technical problems to be achieved in the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by a person having ordinary knowledge in the technical field to which the present disclosure pertains.

[0164] According to one embodiment, an electronic device (101) includes a display (160), at least one processor (120) including a processing circuit, and a memory (132) including one or more storage media storing instructions, wherein the instructions, when individually or collectively executed by the at least one processor (120), cause the electronic device (101) to: receive a first AGE data set of a user of the external electronic device (102; 200) for a first measurement session from an external electronic device (102; 200), obtain a first AGE score for the first measurement session based on the first AGE data set, generate a target AGE index based on the first AGE score, generate a plurality of contribution indices for a plurality of contributing factors corresponding to the target AGE index based on health data about the user, calculate a similarity between the target AGE index and each of the plurality of contribution indices, and output the target AGE index and the plurality of contribution indices through the display based on the similarities.

[0165] In one embodiment, the plurality of contributing factors may include two or more of a stress factor, a weight factor, an exercise factor, a sleep factor, a food factor, and a blood sugar factor.

[0166] In one embodiment, the first measurement session may be a sleep session of the user.

[0167] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101) may cause at least: to obtain body data from among health data, and to obtain a first AGE score by processing the body data and the first AGE data set using an artificial intelligence model.

[0168] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101) may at least: obtain period information, and generate a target AGE index based on the period information and the first AGE score.

[0169] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101) may be configured to calculate a first similarity for a first contribution metric based on at least: a target change trend between values ​​of the target AGE metric and a first change trend between values ​​of the first contribution metric among the plurality of contributing metric.

[0170] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101) may cause at least: to determine output locations of a plurality of contributing indicators associated with a target AGE indicator based on similarities, and to output the target AGE indicator and the plurality of contributing indicators through a display based on the output locations of the plurality of contributing indicators.

[0171] In one embodiment, if the second contribution indicator has the highest similarity, the second contribution indicator may be outputted as being closest to the target AGE indicator than other contribution indicators.

[0172] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101) may at least: determine output locations of a plurality of contributing indicators associated with a target AGE indicator based on a preset exclusion contribution factor.

[0173] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101) may cause at least: if the similarities are below a preset threshold, to determine an additional contributing element other than the plurality of contributing elements, and to output a suggestion message so that the electronic device (101) can obtain data about the additional contributing element.

[0174] According to one embodiment, a method performed by an electronic device (101) may include receiving a first AGE data set of a user of the external electronic device (102; 200) for a first measurement session from an external electronic device (102; 200), obtaining a first AGE score for the first measurement session based on the first AGE data set, generating a target AGE indicator based on the first AGE score, generating a plurality of contribution indicators for a plurality of contributing factors corresponding to the target AGE indicator based on health data about the user, calculating a similarity between the target AGE indicator and each of the plurality of contribution indicators, and outputting the target AGE indicator and the plurality of contribution indicators through a display (160) based on the similarities.

[0175] According to one embodiment, the operation of generating a target AGE indicator based on the first AGE score may include the operation of receiving input of period information, and the operation of generating the target AGE indicator based on the period information and the first AGE score.

[0176] In one embodiment, the operation of calculating a similarity between a target AGE metric and each of a plurality of contributing metrics may include calculating a first similarity for a first contributing metric based on a target change trend between values ​​of the target AGE metric and a first change trend between values ​​of first contributing metrics among the plurality of contributing metrics.

[0177] According to one embodiment, the operation of outputting a target AGE indicator and a plurality of contributing indicators through a display based on similarities may include an operation of determining output positions of a plurality of contributing indicators associated with the target AGE indicator based on the similarities, and an operation of outputting the target AGE indicator and a plurality of contributing indicators through a display (160) based on the output positions of the plurality of contributing indicators.

[0178] According to one embodiment, an electronic device (101; 200) includes a PPG sensor, at least one processor (120) including a processing circuit, and a memory (130) including one or more storage media storing instructions, wherein the instructions, when individually or collectively executed by the at least one processor (120), cause the electronic device (101; 200) to: when the electronic device (101; 200) is worn by a user, output light having a target wavelength through the PPG sensor, generate a reception signal by receiving the reflected light through the PPG sensor, determine an AGE value based on the reception signal, determine a first representative AGE value for a first target time based on the AGE value, generate a first AGE data set for a first measurement session based on the first representative AGE value, and transmit the first AGE data set to an external electronic device (102).

[0179] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101; 200) may: determine whether the user's state is a sleeping state, and if the user's state is a sleeping state, output light having a target wavelength through the PPG sensor.

[0180] In one embodiment, the first measurement session may be a sleep session of the user.

[0181] According to one embodiment, the instructions, when individually or collectively executed by at least one processor (120), may cause the electronic device (101; 200) to: obtain a first AGE score for a first measurement session based on a first AGE data set, generate a target AGE metric based on the first AGE score, and output the target AGE metric.

[0182] According to one embodiment, when the instructions are individually or collectively executed by at least one processor (120), the electronic device (101; 200) may at least: obtain body data of the user, and process the body data and the first AGE data set using an artificial intelligence model to obtain a first AGE score.

[0183] 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.

[0184] The embodiments described above may be implemented using hardware components, software components, and / or a combination of hardware components and software components. For example, the devices, methods, and components described in the embodiments may be implemented using a general-purpose computer or a special-purpose computer, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing instructions and responding to them. The processing device may execute an operating system (OS) and software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of the software. For ease of understanding, the processing device is sometimes described as being used alone; however, one of ordinary skill in the art will recognize that the processing device may include multiple processing elements and / or multiple types of processing elements. For example, a processing unit may include multiple processors, or a processor and a controller. Other processing configurations, such as parallel processors, are also possible.

[0185] Software may include a computer program, code, instructions, or a combination of one or more of these, and may configure a processing device to perform a desired operation or, independently or collectively, command the processing device. The software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave, for interpretation by the processing device or for providing instructions or data to the processing device. The software may also be distributed over networked computer systems and stored or executed in a distributed manner. The software and data may be stored on a computer-readable recording medium.

[0186] The method according to the embodiment may be implemented in the form of program commands that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program commands, data files, data structures, etc., alone or in combination, and the program commands recorded on the medium may be those specially designed and configured for the embodiment or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program commands such as ROMs, RAMs, and flash memories. Examples of program commands include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc.

[0187] The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiment, and vice versa.

[0188] Although the embodiments described above have been described with limited drawings, those skilled in the art will appreciate that various technical modifications and variations can be applied based on the described embodiments. For example, appropriate results can still be achieved even if the described techniques are performed in a different order than described, and / or components of the described systems, structures, devices, circuits, etc. are combined or combined in a different manner than described, or are replaced or substituted with other components or equivalents.

[0189] Therefore, various implementations, various embodiments, and equivalents to the patent claims also fall within the scope of the patent claims described below.

Claims

1. In an electronic device (101), display (160); At least one processor (120) comprising processing circuitry; and A memory (132) comprising one or more storage media for storing instructions, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes: Receiving a first advanced glycation end-product (AGE) data set of a user of the external electronic device (102; 200) for a first measurement session from the external electronic device (102; 200), Obtaining a first AGE score for the first measurement session based on the first AGE data set; Generate a target AGE index based on the first AGE score, Based on the health data for the user, a plurality of contribution indicators for a plurality of contributing factors corresponding to the target AGE indicator are generated, Calculate the similarity between the target AGE indicator and each of the multiple contributing indicators, Based on the above similarities, the target AGE indicator and the plurality of contribution indicators are output through the display. To do, Electronic device (101).

2. In paragraph 1, The above multiple contributing factors include two or more of a stress factor, a weight factor, an exercise factor, a sleep factor, a food factor, and a blood sugar factor. Electronic device (101).

3. In paragraph 1 or 2, The above first measurement session is the user's sleep session, Electronic device (101).

4. In any one of paragraphs 1 to 3, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes at least: Obtaining physical data from the above health data, The first AGE score is obtained by processing the above body data and the first AGE data set using an artificial intelligence model. To do, Electronic device (101).

5. In any one of paragraphs 1 to 4, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes at least: Obtain period information, Generate the target AGE index based on the above period information and the first AGE score. To do, Electronic device (101).

6. In any one of paragraphs 1 to 5, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes at least: Calculate a first similarity for the first contribution indicator based on a target change trend between values ​​of the target AGE indicator and a first change trend between values ​​of the first contribution indicator among the plurality of contribution indicators. To do, Electronic device (101).

7. In any one of paragraphs 1 to 6, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes at least: Determine the output positions of the plurality of contribution indicators associated with the target AGE indicator based on the above similarities, Outputting the target AGE indicator and the plurality of contribution indicators through the display based on the output positions of the plurality of contribution indicators To do, Electronic device (101).

8. In any one of paragraphs 1 to 7, If the second contribution indicator has the highest similarity, the second contribution indicator is output as being closest to the target AGE indicator than the other contribution indicators. Electronic device (101).

9. In any one of paragraphs 1 to 8, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes at least: Determine the output positions of the plurality of contributing indicators associated with the target AGE indicator based on the preset exclusion contributing factors. To do, Electronic device (101).

10. In any one of paragraphs 1 to 9, When the above instructions are individually or collectively executed by the at least one processor (120), the electronic device (101) causes at least: If the above similarities are less than a preset threshold, additional contributing factors other than the above multiple contributing factors are determined, The electronic device (101) outputs a suggestion message so that it can obtain data on the additional contributing element. To do, Electronic device (101).

11. In a method performed by an electronic device (101), An operation of receiving a first set of advanced glycation end-product (AGE) data of a user of the external electronic device (102; 200) for a first measurement session from the external electronic device (102; 200); An operation of obtaining a first AGE score for the first measurement session based on the first AGE data set; An operation of generating a target AGE index based on the first AGE score; An operation of generating a plurality of contribution indicators for a plurality of contributing factors corresponding to the target AGE indicator based on health data for the user; An operation of calculating the similarity between the target AGE indicator and each of the plurality of contributing indicators; and An operation of outputting the target AGE indicator and the plurality of contribution indicators through a display (160) based on the above similarities. including, method.

12. In paragraph 11, The operation of generating a target AGE index based on the above first AGE score is: An action to receive input of period information; and An operation of generating the target AGE index based on the above period information and the first AGE score. including, method.

13. In paragraph 11 or 12, The operation of calculating the similarity between the above target AGE indicator and each of the multiple contributing indicators is as follows: An operation of calculating a first similarity for the first contribution indicator based on a target change trend between values ​​of the target AGE indicator and a first change trend between values ​​of first contribution indicators among the plurality of contribution indicators. including, method.

14. In any one of paragraphs 11 to 13, The operation of outputting the target AGE indicator and the plurality of contribution indicators through the display based on the above similarities is as follows: An operation of determining output positions of the plurality of contributing indicators associated with the target AGE indicator based on the similarities; and An operation of outputting the target AGE indicator and the plurality of contribution indicators through the display (160) based on the output positions of the plurality of contribution indicators. including, method.

15. A computer program stored on a computer-readable recording medium for executing the method of any one of claims 11 to 14 in combination with hardware.

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