Device and method for controlling wearable device on basis of personal medical information

Abstract

The present disclosure relates to a device and method for controlling a wearable device on the basis of personal medical information, and an electronic device of the present disclosure may: generate reference information for a routine measurement range or a non-routine measurement range corresponding to biometric information of a user, on the basis of attribute information related to features of a plurality of wearable devices and information recorded on the basis of first biometric information received via at least one wearable device among the plurality of wearable devices; acquire second biometric information of the user received via at least one device among the plurality of wearable devices; check, on the basis of the second biometric information, the health state of the user according to the reference information; and select, from among the plurality of wearable devices, at least one wearable device for measuring the biometric information of the user, on the basis of the health state, the attribute information, and personal medical information of the user.

Description

Device and method for controlling a wearable device based on personal medical information

[0001] The present embodiments relate to a technology for controlling a wearable device based on personal medical information.

[0002] Wearable devices have rapidly expanded in recent years, driven by technological advancements, and come in a variety of forms and functions. They are used in a variety of fields, including healthcare, fitness, fashion, and communications, and come in a variety of types, including smartwatches, fitness trackers, smart glasses, wearable cameras, heart rate monitors, and smart clothing. These wearable devices provide users with real-time information, monitor their activities, and connect with smartphones and other devices to provide a variety of services.

[0003] However, if wearable devices operate independently and each wearable device requires a separate interface and management system, it may cause inconvenience to users.

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

[0005] An electronic device (610) according to one embodiment comprises: a communication circuit (701) capable of connecting to a plurality of wearable devices (620); a memory (704) for storing reference information on a daily measurement range or an unusually daily measurement range corresponding to biometric information of a user based on information recorded through attribute information related to characteristics of the plurality of wearable devices (620) and first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) and first situation information corresponding to the first biometric information; And at least one processor (710), wherein the at least one processor (710) obtains second biometric information of the user and second situation information corresponding to the second biometric information received through at least one device among the plurality of wearable devices (620), and, based on the second biometric information and the second situation information, determines a health status of the user according to the reference information, and, based on the health status, the attribute information, and the personal medical information of the user, selects at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) to measure the biometric information of the user, and, in relation to the measurement of the biometric information of the user, controls to adjust a biometric information measurement cycle and a biometric information measurement time point of the selected at least one wearable device (621, 622, 623, 624, and / or 625).

[0006] An electronic device (610) according to one embodiment comprises: a communication circuit (701) that can connect to a plurality of wearable devices (620); a memory (704) that stores reference information for a daily measurement range or an unusually daily measurement range corresponding to biometric information of a user based on attribute information related to characteristics of the plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620); And a processor (710), wherein the processor (710) obtains second biometric information of the user received through at least one device among the plurality of wearable devices (620), and, based on the second biometric information, determines a health status of the user according to the reference information, and, based on the health status, the attribute information, and the personal medical information of the user, selects at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) to measure the biometric information of the user.

[0007] A method for controlling a wearable device according to one embodiment comprises: generating reference information for a daily measurement range or an unusual measurement range corresponding to biometric information of a user based on attribute information related to characteristics of a plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) (810); acquiring second biometric information of the user received through at least one of the plurality of wearable devices (620) (820); and confirming a health status of the user according to the reference information based on the second biometric information (830); And based on the health status, the attribute information, and the personal medical information of the user, it may include an operation (840) of selecting at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) to measure the biometric information of the user.

[0008] According to one embodiment, a computer-readable recording medium stores instructions, which, when executed by one or more processors, performs the following operations: generating reference information for a daily measurement range or an unusual measurement range corresponding to biometric information of a user based on attribute information related to characteristics of a plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620); obtaining second biometric information of the user received through at least one of the plurality of wearable devices (620) (920); and confirming a health status of the user according to the reference information based on the second biometric information (930). And, based on the health status, the attribute information, and the personal medical information of the user, an operation (940) of selecting at least one wearable device (621, 622, 623, 624, and / or 625) for measuring the biometric information of the user among the plurality of wearable devices (620) may be performed.

[0009] In connection with the description of the drawings, the same or similar reference numerals may be used for the same or similar components.

[0010] FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

[0011] FIG. 2 is a front perspective view of a smartwatch according to one embodiment.

[0012] FIG. 3 is a rear perspective view of a smartwatch according to one embodiment.

[0013] Figure 4 is an exploded perspective view of a smart watch according to one embodiment.

[0014] Figure 5 illustrates the configuration of a smart ring according to one embodiment.

[0015] FIG. 6 is a diagram illustrating an example of an electronic device that controls a plurality of wearable devices according to one embodiment.

[0016] FIG. 7 is a diagram illustrating a configuration of an electronic device that controls a wearable device based on personal medical information according to one embodiment.

[0017] FIG. 8 is a diagram illustrating a configuration of a processor in an electronic device that controls a wearable device according to one embodiment.

[0018] FIG. 9 is a flowchart illustrating an operation of controlling a wearable device based on personal medical information according to one embodiment.

[0019] FIG. 10 is a diagram illustrating an example of personalized reference information according to one embodiment.

[0020] FIG. 11 is a diagram illustrating an example of analyzing a biological state through an electrocardiogram according to one embodiment.

[0021] FIG. 12 is a diagram illustrating an example of evaluating measurement reliability of multiple wearable devices according to one embodiment.

[0022] FIG. 13 is a diagram illustrating an example of setting measurement intervals of multiple wearable devices according to one embodiment.

[0023] FIG. 14 is a diagram illustrating an example of setting measurement intervals of multiple wearable devices according to one embodiment, depending on whether the measurement interval is before or after a meal and whether it is a daily measurement range or an unusual measurement range.

[0024] FIG. 15 is a diagram illustrating an example of an operation according to a health state measured according to one embodiment.

[0025] Hereinafter, embodiments are described in detail with reference to the attached drawings. However, the embodiments may be modified in various ways, and the scope of the patent application is not limited or restricted by these embodiments. It should be understood that all modifications, equivalents, or alternatives to the embodiments are included within the scope of the patent application.

[0026] FIG. 1 is a block diagram of an electronic device within a network environment, according to one embodiment.

[0027] Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0028] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or operations. According to one embodiment, as at least a part of the data processing or operations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or an auxiliary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor) that can operate independently or together with the main processor (121). For example, when the electronic device (101) includes the main processor (121) and the auxiliary processor (123), the auxiliary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a given function. The auxiliary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0029] The processor (120) can control the operations of the electronic device (101) of FIG. 1 by executing commands stored in the memory (130).

[0030] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, 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.

[0031] 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).

[0032] 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).

[0033] 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).

[0034] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0035] 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.

[0036] 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).

[0037] 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.

[0038] 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.

[0039] 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).

[0040] The haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. According to one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0041] 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.

[0042] 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).

[0043] 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.

[0044] 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).

[0045] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0046] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas, 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. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0047] According to various embodiments, 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.

[0048] 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)).

[0049] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0050] FIG. 2 is a front perspective view of a smartwatch according to one embodiment.

[0051] FIG. 3 is a rear perspective view of a smartwatch according to one embodiment.

[0052] Figure 4 is an exploded perspective view of a smart watch according to one embodiment.

[0053] Referring to FIGS. 2, 3, and 4, according to one embodiment, a smart watch (200), which is a type of wearable device worn on a wrist and linked with an electronic device (101), 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 smart watch (200) to a part of a user's body (e.g., wrist, ankle). In another 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. 2. In one embodiment, the first side (210A) may be formed by at least a portion of a substantially transparent front plate (201) (e.g., a glass plate including various coating layers, or a polymer plate). The second side (210B) may be formed by at least a portion of the back plate (207). The second side (210B) may be formed by, for example, coated or colored glass, ceramic, polymer, metal (e.g., aluminum, stainless steel (STS), or magnesium), or a combination of at least two or more of the foregoing materials. The side (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 includes a metal and / or a polymer. In some embodiments, the back plate (207) and the side bezel structure (206) may be formed integrally and include the same material (e.g., a metal material such as aluminum, stainless steel, or titanium). The above-mentioned bonding member (250, 260) can be formed of various materials and shapes.The integral and multiple unit links can be formed to be movable with each other by a combination of at least two of the above materials, such as woven fabric, leather, rubber, urethane, metal, ceramic, or a combination of at least two of the above materials.

[0054] According to one embodiment, the smart watch (200) may include at least one of a display (220, see FIG. 4), 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 smart watch (200) may omit at least one of the components (e.g., the key input device (202, 203, 204), the connector hole (209), or the sensor module (211)) or may additionally include other components.

[0055] 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 have various shapes such as a circle, an oval, or a polygon. 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.

[0056] The audio module (205, 208) may include a microphone hole (205) and a speaker hole (208). The microphone hole (205) may have a microphone disposed therein for acquiring external sounds, and in some embodiments, multiple microphones may be disposed therein to detect the direction of sounds and perform audio beamforming. The speaker hole (208) may be used as a speaker for alarm output 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).

[0057] The sensor module (211) can generate an electrical signal or data value corresponding to the internal operating state of the smart watch (200) or the external environmental state. The sensor module (211) can include, for example, a biometric sensor module (211) (e.g., a heart rate monitor (HRM) sensor (e.g., PhotoPlenthysmoGraphy; PPG)) disposed on the second surface (210B) of the housing (210). The smart watch (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 (e.g., an altitude sensor), a magnetic sensor, an acceleration sensor, a grip sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor (e.g., a body temperature sensor), a humidity sensor, an electrocardiography (ECG) sensor, an electroencephalography (EEG) sensor, or an illuminance sensor.

[0058] The sensor module (211) may include a biosignal detection circuit (not shown) electrically connected to electrode areas (213, 214) formed on a portion of the surface of the smart watch (200). For example, the electrode areas (213, 214) may include a first electrode area (213) and a second electrode area (214) arranged on a second surface (210B) of the housing (210). The biosignal detection circuit may be configured to obtain an electrical signal from a portion of the user's body through the electrode areas (213, 214) and detect the user's biometric information based on the electrical signal.

[0059] 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 (202). In other embodiments, the smart watch (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) may include another connector hole (not shown) that may accommodate a connector (e.g., a USB connector) for transmitting and receiving power and / or data with an external electronic device, and may accommodate a connector for transmitting and receiving audio signals with an external electronic device. The smart watch (200) may 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.

[0060] 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).

[0061] The fixing member (252) may 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). The fastening member fastening hole (253) may correspond to the fastening member (252) to fasten the housing (210) and the fastening members (250, 260) to a part of the user's body. The band guide member (254) may be configured to limit the range of motion 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) may limit the range of motion of the fastening members (250, 260) when the fastening member (252) and the fastening member fastening hole (253) are fastened.

[0062] According to one embodiment, a smart watch (400) (e.g., smart watch (200) of FIGS. 2 and 3), which is a type of wearable device that is linked with an electronic device (101), may include a side bezel structure (410) (e.g., bezel structure (206) of FIGS. 2 and 3), a wheel key (420) (e.g., wheel key (202) of FIGS. 2 and 3), a front plate (201), a display (220), a first antenna (450, second antenna (455), a support member (460) (e.g., a bracket), a battery (470), a printed circuit board (480), a sealing member (490), a rear plate (493) (e.g., rear plate (207) of FIG. 2), and fastening members (495, 497) (e.g., fastening members (250, 260) of FIGS. 2 to 20). At least one of the components of the device (400) may be identical or similar to at least one of the components of the smart watch (200) of FIGS. 2 and 3, and a duplicate description thereof will be omitted below. The support member (460) may be disposed inside the electronic device (400) and connected to the side bezel structure (410), or may be formed integrally with the side bezel structure (410). The support member (460) may be formed of, for example, a metal material and / or a non-metallic (e.g., a polymer) material. The support member (460) may have a display (220) coupled to one surface and a printed circuit board (480) coupled to the other surface. A processor, a memory, and / or an interface may be mounted on the printed circuit board (480). 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 sensor processor, or a communication processor.

[0063] The memory may include, for example, volatile memory or non-volatile memory. According to some embodiments, the memory may store attribute information of a wearable device (e.g., a smartwatch). The attribute information may include at least some of information about a sensor, battery capacity and remaining amount, close contact with a living body, or measurement reliability. The interface may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, and / or an audio interface. The interface may electrically or physically connect the electronic device (400) to an external electronic device, for example, and may include a USB connector, an SD card / MMC (multimedia card) connector, or an audio connector.

[0064] The battery (470) is a device for supplying power to at least one component of the electronic device (400), 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 (470) may be disposed substantially on the same plane as, for example, the printed circuit board (480). The battery (470) may be disposed integrally within the smart watch (200), or may be disposed detachably from the smart watch (200).

[0065] The first antenna (450) may be positioned between the display (220) and the support member (460). The first antenna (450) 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 (450) 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 another embodiment, the antenna structure may be formed by a portion or a combination of the side bezel structure (410) and / or the support member (460).

[0066] The second antenna (455) may be disposed between the printed circuit board (480) and the back plate (493). The second antenna (455) 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 (455) may, for example, perform near-field communication with an external device, wirelessly transmit and receive power required for charging, and transmit a magnetic-based signal including a near-field communication signal or payment data. The second antenna (455) may include a printed circuit board, and an NFC circuit, a wireless charging circuit, an MST circuit, or a sensor module (211) may be disposed on the printed circuit board. In another embodiment, the antenna structure may be formed by a portion or a combination of the side bezel structure (410) and / or the back plate (493).

[0067] A sealing member (490) may be positioned between the side bezel structure (410) and the rear plate (493). The sealing member (490) may be configured to block moisture and foreign substances from entering the space surrounded by the side bezel structure (410) and the rear plate (493) from the outside.

[0068] Figure 5 illustrates the configuration of a smart ring according to one embodiment.

[0069] Referring to FIG. 5, according to one embodiment, a smart ring (501) that is connected to an electronic device (101) supports biometric information sensing functions, touch functions, and wireless communication functions, and may refer to an electronic device that can be worn on a user's body. The smart ring (501) may also be referred to as a wearable electronic device.

[0070] The smart ring (501) illustrated in FIG. 5 is illustrated as a ring type (e.g., a smart ring) that a user wears on a finger, but is not limited thereto, and may be implemented as other types of accessory electronic devices such as a watch type (e.g., a smart watch) or a band type (e.g., a smart band).

[0071] A smart ring (501) according to one embodiment may include a first annular housing (5001) (e.g., an outer ring housing, a first ring housing, or a first housing portion) and a second annular housing (5002) (e.g., an inner ring housing, a second ring housing, or a second housing portion) coupled to the first housing (5001) and including an opening. The opening may be formed to a size such that a user's finger can be inserted therein. For example, the first housing (5001) may be formed of a metal material (e.g., titanium, stainless steel, or aluminum), or a material that can withstand external impact or scratches, such as ceramic. The first housing (5001) may also undergo a separate fixing or coating process for color implementation. The second housing (5002) may be formed of the same material as the first housing (5001), or may be formed of a molding material for sensing, plastic, or glass. The second housing (5002) may be formed to have at least a portion comprised of a metal material (e.g., a metal electrode) for biometric measurements.

[0072] A smart ring (501) according to one embodiment may include a processor (510), a memory (520), a communication module (530), an antenna (535), a battery (540), a charging interface (545), at least one biometric sensor (550), a touch sensor (560), an inertial sensor (570), a temperature sensor (580), and a power management integrated circuit (PMIC) (590) disposed in a space between a first housing (5001) and a second housing (5002). Some of the components may be disposed on a substrate (595) (e.g., FPCB, flexible printed circuit board) having flexibility to correspond to the curvature of the smart ring (501).

[0073] According to some embodiments, the smart ring (501) may further include other components in addition to the illustrated components (e.g., a display, an ultrasonic sensor, a barometric pressure sensor (e.g., an altitude sensor), a magnetic sensor, a grip sensor, a humidity sensor, or an audio output device).

[0074] A communication module (530) according to one embodiment may include various hardware and / or software configurations to support wireless communication with an external electronic device (hereinafter, electronic device (101) of FIG. 1). The wearable smart ring (501) may transmit and receive various data or control commands with the electronic device (101) via the communication module (530) via wired / wireless communication. In one embodiment, the communication module may support short-range wireless communication. The short-range wireless communication may include at least one of Bluetooth, BLE (Bluetooth Low Energy), ZigBee, ANT+, Wi-Fi, Cellular (LTE, 5G, 6G, NB-IoT), NFC (near field communication), RFID (radio frequency identification), UWB (ultra wide band), GNSS (global navigation satellite system) and / or MST (magnetic secure transmission). The present invention is not limited to the above-described examples. According to some embodiments, the communication module (530) may be implemented in an integrated form with the processor (510).

[0075] According to one embodiment, the antenna (535) may be connected to the communication module (530) via the substrate (595). The wearable smart ring (501) may transmit or receive communication signals / data to the outside via the antenna (535). The antenna (535) may include a single or multiple antennas. In some embodiments, a part of the first housing (5001) (e.g., a metal member) may be designed to be used as the antenna (535).

[0076] According to one embodiment, the battery (540) may be formed in a curved shape to have a curvature corresponding to the curvature of the space between the first housing (5001) and the second housing (5002). The battery (540) may be configured such that multiple battery packs are separately arranged. The battery (540) may be connected to a charging interface (545).

[0077] According to one embodiment, a charging interface (545) may be electrically connected to a PMIC (590) mounted on a substrate (595) via the substrate (595). The charging interface (545) may support wired charging (terminal) or wireless charging (WPC, NFC) methods for charging.

[0078] At least one biometric sensor (550) according to one embodiment can obtain various biometric information of a user using an optical signal. For example, the biometric sensor (550) can include a photoplethysmogram (PPG) sensor that can obtain various biometric information such as heart rate and blood circulation by measuring a plethysmogram according to an optical signal. The PPG sensor can be an optical sensor, but is not limited thereto. The biometric sensor (550) can obtain biometric information such as heart rate (HR), blood pressure, saturation of percutaneous oxygen (SpO2), galvanic skin response (GSR), electrocardiography (ECG), blood flow velocity, and bioelectrical impedance, but is not limited thereto.

[0079] In some embodiments, the biometric sensor (550) may include a fingerprint sensor.

[0080] A biometric sensor (550) according to one embodiment may include a sensor controller (550a), a plurality of emitters (550b) for outputting optical signals, and a plurality of receivers (550c) for receiving optical signals. The emitters (550b) may include light-emitting elements that emit light of various wavelengths or colors (e.g., green, red) to measure a biometric signal. The emitters (550b) may be formed by at least one of a light-emitting diode (LED), a semiconductor laser diode (LD), an infrared (IR) diode, and a VCSEL. The receiver (550c) may be formed by a photodiode (PD) or a complementary metal-oxide-semiconductor (CMOS) camera. The receiver (550c) may convert a received optical signal through an analog-to-digital converter (ADC) and store the converted signal in a processor (510) or a memory (520). The sensor controller (550a) can control the light emitting unit (550b) and the light receiving unit (550c).

[0081] A touch sensor (560) according to one embodiment can detect a touch signal of a user touching a wearable smart ring (501). The touch sensor (560) can be formed using at least one of a pressure type, an electrostatic type, an optical type, or an ultrasonic type, for example.

[0082] In some embodiments, the touch sensor (560) may be omitted.

[0083] An inertial sensor (570) according to one embodiment can obtain movement information of a wearable smart ring (501). For example, the inertial sensor (570) can detect motion, gesture, impact, posture, and / or activity (e.g., sedentary, moving, sports). The inertial sensor (570) may be formed as a 3-axis accelerometer, but is not limited thereto, and may be formed as a 6-axis sensor including an accelerometer and a gyroscope, or a 9-axis sensor including an accelerometer, a gyroscope, and a geomagnetic sensor.

[0084] A temperature sensor (580) according to one embodiment can measure the body temperature of a user or the temperature of a component (e.g., an electronic component) included in a wearable smart ring (501). The temperature sensor (580) can be formed in a contact or non-contact manner and may vary depending on the design. The wearable smart ring (501) can record the temperature information recorded through the temperature sensor (580) in memory or, under processor control, use it to measure the body temperature of the user, estimate skin temperature, or estimate situational awareness.

[0085] According to one embodiment, a PMIC (590) can manage power delivered from a battery (540) to each component of a wearable smart ring (501).

[0086] According to one embodiment, the memory (520) may store various instructions that may be executed by the processor (510). Such instructions may include control commands such as arithmetic and logical operations, data transfer, or input / output that may be recognized by the processor (510). According to some embodiments, the memory (520) may store attribute information of a wearable device (e.g., a smart ring). The attribute information may include at least some of information about a sensor, battery capacity and remaining amount, close contact with a living body, or measurement reliability.

[0087] According to one embodiment, the processor (510) is a configuration capable of performing calculations or data processing related to control and / or communication of each component of the smart ring (501), and may be composed of one or more processors. The calculation and data processing functions that the processor (510) may implement on the smart ring (501) are not limited, but in this document, it may process various operations for measuring and providing a user's biometric information in conjunction with an electronic device (101).

[0088] FIG. 6 is a diagram illustrating an example of an electronic device that controls a plurality of wearable devices according to one embodiment.

[0089] Referring to FIG. 6, according to one embodiment, an electronic device (610) (e.g., electronic device (101) of FIG. 1) and a wearable device (620) that is communicatively connected to the electronic device (610) and can be worn by a user may include smart glasses (621), wireless earphones (622), a smart ring (623) (e.g., smart ring (501) of FIG. 5), a smart watch (624) (e.g., smart watch (200) of FIGS. 2 and 3, smart watch (400) of FIG. 4), a smart belt (625), and similar devices. The electronic device (610) can receive biometric information of the user from the wearable device (620) to check the health status of the user.

[0090] According to one embodiment, when multiple wearable devices (620) are connected, the electronic device (610) can select a device among them to measure biometric information based on the user's health condition.

[0091] According to one embodiment, the electronic device (610) can adjust the biometric information measurement cycle of the wearable device (620) based on the user's biometric information and the user's medical information.

[0092] A more specific description of the electronic device (610) and the wearable device (620) will be described later with reference to FIG. 7.

[0093] FIG. 7 is a diagram illustrating a configuration of an electronic device that controls a wearable device based on personal medical information according to one embodiment.

[0094] FIG. 8 is a diagram illustrating a configuration of a processor in an electronic device that controls a wearable device according to one embodiment.

[0095] Referring to FIGS. 7 and 8, the electronic device (610) may include a communication circuit (701), a processor (710), an input / output circuit (702), a power circuit (703), and a memory (704).

[0096] According to one embodiment, the communication circuit (701) (e.g., the communication module (190) of FIG. 1) can transmit and receive data wired or wirelessly. The communication circuit (701) can receive the user's biometric information measured by the wearable device (620) or transmit a signal for controlling the wearable device (620). According to one embodiment, the communication circuit (701) can communicate with the prescription delivery system (740) to receive the user's prescription. The communication circuit (701) can communicate with the medical record system (750) to receive the user's personal medical record. Here, the prescription delivery system (740) can be a public prescription data system (PPDS) in which a pharmacist enters a prescription. In addition, the medical record system (750) can be an electronic medical record (EMR) system, which is a system that manages a patient's health information and medical records in digital format within a medical institution.

[0097] According to one embodiment, the input / output circuit (702) may include at least a portion of the input module (150), the audio output module (155), the display module (160), the audio module (170), the sensor module (176), the interface (177), the connection terminal (178), the haptic module (179), and the camera module (180) of FIG. 1. The input / output circuit (702) may receive a user's input and output information generated during the operation of the electronic device (610) to the user.

[0098] According to one embodiment, a power circuit (703) (e.g., power management module (188) of FIG. 1) can manage power supplied to an electronic device (610).

[0099] According to one embodiment, the memory (704) (e.g., the memory (130) of FIG. 1) may store an operating system, an application program, and storage data for controlling the overall operation of the electronic device (610). In addition, according to the present disclosure, the memory (704) may store the user's biometric information and the user's personal medical information. In addition, the memory (704) may further store general biometric information and medical information necessary for determining whether the user's biometric information is normal and analyzing the user's biometric information and personal medical information. According to one embodiment, the memory (704) may store attribute information of the wearable device. The attribute information may include at least some of information about a sensor included in the wearable device, the battery capacity and remaining battery power of the wearable device, the degree of adhesion between the wearable device and the living body, or the measurement reliability of the wearable device.

[0100] According to one embodiment, the processor (710) (e.g., processor (120) of FIG. 1) may include a biometric information recording module (711), a biometric information personalization module (712), a biometric status analysis module (713), a biometric measurement control module (714), and an information output module (715).

[0101] The processor (710) controls the operation of the electronic device (610) of FIG. 7 by executing instructions stored in the memory (704), selects at least some of the wearable devices (620), and controls the measurement section or measurement time point of the wearable devices (620). According to one embodiment, the processor (710) may correspond to a plurality of processors that collectively perform a plurality of operations by dividing them among the processors.

[0102] According to one embodiment, the biometric information recording module (711) can receive the user's biometric information from a plurality of wearable devices (620) and check the situation information related to the measurement of the biometric information. According to one embodiment, the situation information can be measured by the electronic device (610) or received from the wearable device (620). The biometric information recording module (711) can store the biometric information and situation information received from the wearable device (620) in the memory (704) over time. At this time, the situation information can be information about the user's surrounding environment (e.g., temperature information, humidity information, altitude information) and information related to the user's movement. The user's biometric information can include an electrocardiogram waveform, heart rate and rhythm, blood oxygen saturation, blood pressure, physical information, personal medical information, and body temperature. At this time, the electrocardiogram waveform is a waveform that measures the electrical activity of the heart and can be measured by an ECG sensor (732). Heart rate and rhythm are measurements of the number and rhythm of heartbeats, and can be measured with a PPG sensor (731) or an ECG sensor (732). Blood oxygen saturation is a measurement of oxygen saturation in the blood, and can be measured with a PPG sensor (731). Blood pressure is a measurement of changes in blood pressure, and can be measured with a PPG sensor (731). In addition, electroencephalography, which measures electrical activity in the brain, can be measured with an EEG (electroencephalography) sensor (737). Physical information may include body size, heart volume, gender, body fat percentage, changes in weight, and age information.

[0103] In one embodiment, physical information may be obtained through information stored in the electronic device (610) and personal medical information.

[0104] In one embodiment, physical information can be measured via a wearable device (620). For example, changes in body size (e.g., waist circumference) can be measured via a smart belt (e.g., a magnetic sensor or a Hall sensor). Changes in body weight can be measured via a smart scale (not shown).

[0105] According to one embodiment, the biometric information recording module (711) can obtain information related to the user's personal medical examination record, medical history, and medication through the prescription delivery system (740) and the medical record system.

[0106] According to one embodiment, body temperature may be measured by measuring the user's body temperature when measuring biometric information, and may be measured through a body temperature sensor (733). Movement-related information may be measured by measuring the user's movement when measuring biometric information, and may be measured through an inertial sensor (735). Information about the user's surrounding environment may be obtained by acquiring temperature, altitude, or humidity information when measuring biometric information, and may be stored as biometric information context information or biometric information metadata together with the biometric information in response to changes in the biometric information. Temperature and humidity information may be acquired through a temperature and humidity sensor (not shown) or weather information of the area where the electronic device (610) is located through communication, and altitude may be acquired through an altitude sensor (736) (e.g., a pressure sensor).

[0107] According to one embodiment, the biometric information personalization module (712) may generate reference information for a daily measurement range or an unusual measurement range corresponding to the biometric information of the user based on attribute information related to characteristics of the plurality of wearable devices (620) and information recorded through biometric information (first biometric information) received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620), and store the reference information in the memory (704). The attribute information may include at least one of a type of biometric sensor included in the plurality of wearable devices (620), a battery capacity, an expected operating time, a degree of close contact with the living body, measurement reliability, and type information of the wearable device.

[0108] According to one embodiment, when receiving biometric information (first biometric information), the biometric information personalization module (712) may also receive context information (first context information) corresponding to the biometric information (first biometric information) and generate reference information based on the biometric information (first biometric information) and context information (first context information). At this time, the context information (first context information) and context information (second context information) may include at least one of temperature information, humidity information, altitude information, and movement information. At this time, temperature information or humidity information may be obtained through weather information of the area where the electronic device (610) is located. In addition, altitude information or movement information may be obtained through at least one sensor included in the electronic device (610) or multiple wearable devices (620). More specifically, the biometric information personalization module (712) accumulates biometric information about the user using biometric information (first biometric information) and situational information (first situational information) to produce statistical data, and can determine reference information based on at least some of the statistical data, information related to the user's body, personal medical information corresponding to the user, medical history, medication information, and medical information. Here, the first biometric information and the first biometric information are information collected to determine the reference information. According to one embodiment, the biometric information personalization module (712) can determine the reference information using an artificial intelligence (AI; ​​Artificial Intelligence) daily / non-daily biometric measurement range analysis model (810) based on the biometric information recorded in the biometric information recording module (711). An example of personalized reference information is described later with reference to FIG. 10. According to one embodiment, the biometric information personalization module (712) can request the biometric information recording module (711) to update the user's reference information, including the user's daily / non-daily measurement range information, as the user's biometric information based on the reference information.

[0109] The biometric status analysis module (713) can determine the health status of a user based on biometric information (second biometric information) according to reference information. At this time, the biometric status analysis module (713) can determine the health status of the user according to the reference information by considering the situation information (second situation information) received together when receiving the second biometric information. Here, the second biometric information and the second situation information are information collected to determine the current health status of the user. According to one embodiment, the biometric status analysis module (713) can determine the health status of the user using a user status analysis model (820), which is an artificial intelligence (AI).

[0110] According to one embodiment, the biometric status analysis module (713) learns the user's biometric information (second biometric information) received from multiple wearable devices (620) according to the individual's needs and, based on the correction range and the user's medical information, determines the user's health status through artificial intelligence (AI). In this case, the AI ​​may be on-device artificial intelligence or cloud artificial intelligence via a network. For example, since ECG waveform interpretation is particularly complex, it can be analyzed through medically specialized artificial intelligence based on the learned individual's biometric information.

[0111] According to one embodiment, the biometric status analysis module (713) analyzes the user's biometric information according to the reference information. However, if the user's biometric information has not been collected and thus before the reference information is generated, the biometric information of the user can be analyzed using the standard information, which is the reference information generated using the biometric information of ordinary people. In addition, the biometric status analysis module (713) can also analyze the user's biometric information using both the user's reference information and the standard information even after the user's reference information has been generated. An example of analyzing the user's biometric information will be described below with reference to FIG. 11.

[0112] According to one embodiment, the biometric control module (714) may select at least one wearable device (621, 622, 623, 624, and / or 625) for measuring biometric information of the user among a plurality of wearable devices (620) based on the health status, attribute information, and personal medical information of the user. According to one embodiment, the biometric control module (714) may identify at least one wearable device (621, 622, 623, 624, and / or 625) for measuring biometric information of the user and a measurement interval using a wearable device control model (830) which is an artificial intelligence (AI).

[0113] According to one embodiment, the biometric control module (714) may select at least one wearable device (621, 622, 623, 624, and / or 625) to measure the user's biometric information based at least on prescription information included in the user's personal medical information.

[0114] According to one embodiment, the biometric control module (714) can simultaneously measure biometric information and situational information about the user using at least one wearable device (621, 622, 623, 624, and / or 625) based on situational information (second situational information) when the dynamic movement of the user falls within a specified range. According to one embodiment, the biometric control module (714) can check the wearing state or measurement reliability of at least one wearable device (621, 622, 623, 624, and / or 625) based on biometric information (third biometric information), and select a wearable device having a relatively higher measurement reliability than other wearable devices as a device related to biometric information measurement. According to another embodiment, the biometric measurement control module (714) may exclude a wearable device that is not being worn, or a wearable device with a relatively lower measurement reliability than other wearable devices, from the devices related to biometric information measurement based on the wearing status or the measurement reliability. Here, the situation information may include information collected to select a wearable device, such as the user's health status, degree of movement, and / or whether the wearer is wearing the device.

[0115] According to one embodiment, the biometric control module (714) can control to adjust the biometric information measurement cycle and biometric information measurement time point of at least one selected wearable device (621, 622, 623, 624, and / or 625) in relation to biometric information measurement of the user.

[0116] According to one embodiment, the biometric control module (714) may, as at least part of the adjusting operation, further consider whether the health condition falls within the routine measurement range or the non-routine measurement range, and control to reduce the interval at which biometric information is measured from at least one wearable device (621, 622, 623, 624, and / or 625). An example of controlling the measurement intervals of a plurality of wearable devices (620) in the biometric control module (714) will be described later with reference to FIGS. 13 and 14.

[0117] According to one embodiment, the biometric measurement control module (714) may control the measurement time points between wearable devices included in the selected at least one wearable device (621, 622, 623, 624, and / or 625) so that the measurement time points do not overlap when adjusting the biometric information measurement cycle and biometric information measurement time points of the selected at least one wearable device (621, 622, 623, 624, and / or 625).

[0118] According to one embodiment, the biometric control module (714) can control to adjust the measurement cycle according to medication time information included in the prescription information.

[0119] According to one embodiment, the biometric control module (714) can check meal time pattern information included in the user's lifestyle pattern information, and perform biometric information measurement based on the meal time pattern information and medication time information before meal time.

[0120] According to one embodiment, the biometric control module (714) can select a wearable device for biometric measurement and adjust the measurement cycle of the sensor based on the user's condition, properties of the wearable device, and personal medical information.

[0121] In the present disclosure, selecting a wearable device to be measured and adjusting the measurement cycle of the wearable device are intended to efficiently operate multiple wearable devices (620) when the condition of a user wearing multiple wearable devices (620) is good according to a personalized daily / non-daily range, as wearable devices become more common and cases in which a single user wears multiple wearable devices (620) increase.

[0122] That is, the biometric measurement control module (714) of the present disclosure can control device selection and measurement cycle and time by considering the properties of multiple wearable devices (620) so that accurate measurement can be performed when there are many abnormal signs or movements in the user's condition.

[0123] According to one embodiment, the biometric measurement control module (714) may select a wearable device when performing biometric measurement among a plurality of wearable devices (620) having sensors of the same function, taking into consideration whether the wearable device is being worn, the user's medical information (medical history), the remaining battery capacity of the wearable device, the expected operating time of the wearable device, the measurement reliability of the wearable device, the close contact of the wearable device with the living body, the user's movement status measured by the wearable device, and the measurement schedule of the wearable device.

[0124] According to one embodiment, the biometric control module (714) can select a wearable device to measure using the user's personal medical information. For example, if the user has a history of obesity, diabetes, and high blood pressure, and the health status measurement result determines that the user is in a state where heart failure is suspected (caution / alert), the biometric control module (714) can control the selection of a wearable device with high measurement reliability among wearable devices capable of measuring ECG to measure the ECG. The biometric control module (714) can also guide the user to wear a wearable device with high measurement reliability if the user is not wearing it.

[0125] According to one embodiment, the biometric control module (714) may select a wearable device to measure biometric information by considering the remaining battery level. For example, when the biometric control module (714) performs biometric measurement through a PPG sensor, if the user is wearing smart glasses (621), wireless earphones (622), a smart ring (623), and a smart watch (624), the remaining battery capacity of the wireless earphones (622), the smart ring (623), and the smart watch (624) is 50% or more, the remaining battery capacity of the smart glasses (621) is 20% or less, and the user is stationary, the biometric control module (714) may select the wireless earphones (622), the smart ring (623), and the smart watch (624) as the devices to measure biometric information. Wearable devices that are not selected may reduce battery consumption by not performing biometric measurement.

[0126] According to one embodiment, the biometric control module (714) may select a wearable device to be measured by considering the expected operating time of the wearable device. For example, when performing biometric measurement through a PPG sensor, if the user is wearing a smart watch (624) and a smart ring (623), the remaining battery of the smart watch (624) is 30% or more, the remaining battery of the smart ring (623) is 20%, the expected measuring time calculated by considering the current consumed during measurement is 3 hours for the smart watch (624) and 7 hours for the smart ring (623), and the user is in a stationary state, the biometric control module (714) may select the ring as the biometric measurement device. Wearable devices that are not selected may reduce battery consumption by not performing biometric measurement.

[0127] According to one embodiment, the biometric control module (714) may select a wearable device to measure based on the measurement schedule of the wearable device. For example, when performing biometric measurement using a PPG sensor, the biometric control module (714) may select only some of the smart glasses (621), wireless earphones (622), smart ring (623), and smart watch (624) as devices to measure biometric information when the user is wearing smart glasses (621), wireless earphones (622), smart ring (623), and smart watch (624), and the remaining battery capacity of the smart glasses (621), wireless earphones (622), smart ring (623), and smart watch (624) is 50% or more, and the user's condition is very good and in a static situation, and the measurement cycle and number of times are sufficient based on the measurement schedule. Wearable devices that are not selected may not perform biometric measurement, thereby reducing battery consumption.

[0128] According to one embodiment, the biometric control module (714) may select a wearable device to measure biometric information by considering the user's condition and the degree of closeness between the wearable device and the living body. For example, when performing biometric information measurement using a PPG sensor, the biometric control module (714) may select the smart ring (623) with a higher degree of closeness with the living body as the device for measuring biometric information when the user is wearing a smart ring (623) and a smart watch (624), the remaining battery power of both devices is 50% or higher, the user's condition is good, and the user is in a dynamic situation. Wearable devices that are not selected may reduce battery consumption by not performing biometric information measurement.

[0129] According to one embodiment, the biometric control module (714) may select a wearable device to measure biometric information by considering the user's condition and the measurement reliability of the wearable device. For example, when performing biometric measurement through a PPG sensor, the biometric control module (714) may select the smart ring (623) as the device to measure biometric information when the user is wearing the smart ring (623) and the smart watch (624), the battery level of the smart watch (624) is 50% or less, the battery level of the smart ring (623) is 30% or less, and the user's condition is alert and static. Wearable devices that are not selected may reduce battery consumption by not performing biometric measurement.

[0130] According to one embodiment, when the biometric control module (714) determines that the user has diabetes through personal medical information, it may determine a smart watch (624) or smart ring (623) capable of diabetes-related measurements among a plurality of wearable devices (620) as the primary measurement device.

[0131] According to one embodiment, if the biometric control module (714) determines that the user is suffering from a brain dysfunction through personal medical information of the user, it may determine a wireless earphone (622) or smart glasses (621) capable of measuring brain-related information among a plurality of wearable devices (620) as the main measuring device.

[0132] According to one embodiment, the biometric control module (714) can measure blood sugar levels through a smartwatch (624) and check eating motions using a motion sensor to check whether the user has eaten before taking medication.

[0133] According to one embodiment, the biometric control module (714) can predict the user's usual mealtime based on the user's lifestyle pattern information, perform pre-meal measurements based on the medication information in the prescription, issue a medication alarm, and check whether the user has taken the medication. In this case, if the biometric control module (714) is determined to be eating without confirming whether the user has taken the medication, it can issue a medication alarm to encourage the user to take the medication.

[0134] According to one embodiment, the biometric control module (714) can perform post-meal measurement when it is determined that a meal has been completed and compare the pre-meal measurement result with the post-meal measurement result.

[0135] According to one embodiment, the biometric control module (714) measures biometric information at a preset measurement cycle when the measurement result is confirmed to be within the routine measurement range, and when the measurement result is confirmed to be within the unusual measurement range, the measurement interval between the smart watch (624) and the smart ring (623) can be reduced to enable more frequent measurements.

[0136] According to one embodiment, the information output module (715) can guide the user through the measured status, provide a user interface that facilitates emergency calls, or perform an external emergency call.

[0137] According to one embodiment, the information output module (715) may utilize a biometric information output model (840) which is an artificial intelligence (AI) to control information output, information output, emergency call, and external devices.

[0138] At this time, the information output module (715) may collaborate with cloud artificial intelligence depending on the user's status. An example of information output from the information output module (715) is described below with reference to FIG. 15.

[0139] In one embodiment, the information output module (715) can control a registered external device. For example, a user of the electronic device (610) can control an electric vehicle capable of auto-driving, which is an external device being driven, and if the user determines that an emergency is imminent, the information output module (715) can control the electric vehicle to drive to a nearby emergency room using auto-driving.

[0140] A wearable device (620) according to one embodiment may include a communication circuit (721), a processor (722), a sensor module (730), an input / output circuit (723), a power circuit (724), and a memory (725).

[0141] According to one embodiment, the communication circuit (721) can transmit and receive data wired or wirelessly. The communication circuit (721) can communicate with the electronic device (610) to transmit measured biometric information of the user.

[0142] According to one embodiment, the processor (722) may control at least one other component (e.g., hardware or software component) of the wearable device (620), for example, by executing software, and may perform various data processing or calculations. According to the present disclosure, the processor (722) may control the sensor module (730) to measure the user's biometric information. The processor (722) may control the electronic device (610) to provide the biometric information measured through the sensor module (730) to the electronic device (610) at the request of the electronic device (610).

[0143] According to one embodiment, the input / output circuit (723) can receive user input and output information generated during operation of the wearable device (620) to the user.

[0144] According to one embodiment, the power circuit (724) can manage power supplied to the wearable device (620).

[0145] According to one embodiment, the memory (725) can store an operating system, application programs, and storage data for controlling the overall operation of the wearable device (620).

[0146] According to one embodiment, the sensor module (730) may include at least one of a PPG sensor (731), an ECG sensor (732), a body temperature sensor (733), a geomagnetic sensor (734), an inertial sensor (735), an altitude sensor (736), and an EEG sensor (737). That is, the sensors included may vary depending on the wearable device (620).

[0147] In one embodiment, a PPG (Photoplethysmogram Sensor) sensor (731) can measure changes in blood flow using an optical sensor. The PPG sensor (731) can be used to measure heart rate and oxygen saturation by shining light through the skin and detecting changes in the reflected light.

[0148] In one embodiment, an electrocardiogram (ECG) sensor (732) can measure the electrical activity of the heart to monitor the rhythm and condition of the heartbeat. The ECG sensor (732), also known as an electrocardiogram sensor, can play an important role in diagnosing heart disease.

[0149] According to one embodiment, the body temperature sensor (733) is configured to measure the body temperature and can monitor the body temperature through various methods (e.g., temperature sensor, infrared, thermocouple).

[0150] According to one embodiment, the magnetic sensor (734) can measure a magnetic field to determine direction or location information.

[0151] According to one embodiment, the inertial sensor (735) can measure the acceleration and rotational speed of an object by combining an accelerometer and a gyroscope.

[0152] In one embodiment, the altitude sensor (736) may include, for example, a pressure sensor and may measure atmospheric pressure to calculate altitude.

[0153] According to one embodiment, an EEG (electroencephalography) sensor (737) is a device that measures electrical activity of the brain, detects electrical signals generated when neurons in the brain are active, and can be used to determine emotional states (e.g., relaxation, concentration, stress), measure sleep and sleep quality, or make measurements related to brain disorders.

[0154] FIG. 9 is a flowchart illustrating an operation of controlling a wearable device based on personal medical information according to one embodiment.

[0155] Referring to FIG. 9, in operation 910, the electronic device (610) may generate reference information for a daily measurement range or an unusual measurement range corresponding to the user's biometric information based on attribute information related to characteristics of a plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620), and store the reference information in a memory. At this time, the attribute information may include at least one of a type of biometric sensor included in the plurality of wearable devices (620), a battery capacity, an expected operating time, a degree of close contact with a living body, measurement reliability, and type information of the wearable device.

[0156] According to one embodiment, in operation 910, when the electronic device (610) receives the first biometric information, it may also receive first context information corresponding to the first biometric information, and generate reference information based on the first biometric information and the first context information. At this time, the first context information may include at least one of temperature information, humidity information, altitude information, and movement information. Here, the temperature information or humidity information may be obtained through weather information of an area where the electronic device (610) is located, and the altitude information or movement information may be obtained through at least one sensor included in the electronic device (610) or a plurality of wearable devices (620). More specifically, the electronic device (610) may accumulate biometric information about the user using the first biometric information and the first context information to produce statistical data, and may determine reference information related to a daily measurement range or an unusual measurement range based on at least a portion of the produced statistical data, information related to the user's body, personal medical information corresponding to the user, medical history, medication information, and medical information.

[0157] According to one embodiment, in operation 920, the electronic device (610) may obtain second biometric information of the user received through at least one of the plurality of wearable devices (620).

[0158] According to one embodiment, in operation 920, when the electronic device (610) acquires the second biometric information, it may also acquire second context information corresponding to the second biometric information. At this time, the second context information may include at least one of temperature information, humidity information, altitude information, and movement information. Here, the temperature information or humidity information may be acquired through weather information of the area where the electronic device (610) is located, and the altitude information or movement information may be acquired through at least one sensor included in the electronic device (610) or multiple wearable devices (620).

[0159] According to one embodiment, in operation 930, when checking the health status of a user, the electronic device (610) may check the health status of the user based on the second biometric information and the reference information. At this time, the electronic device (610) may further consider the second contextual information to check the health status of the user.

[0160] According to one embodiment, in operation 940, the electronic device (610) may select at least one wearable device (621, 622, 623, 624, and / or 625) for measuring the user's biometric information from among a plurality of wearable devices (620) based on the health status, attribute information, and the user's personal medical information. At this time, the user's personal medical information may include prescription information. In this case, the electronic device (610) may select at least one wearable device (621, 622, 623, 624, and / or 625) for measuring the user's biometric information based at least on the prescription information.

[0161] According to one embodiment, in operation 950, the electronic device (610) may control to adjust the biometric information measurement cycle and biometric information measurement time point of at least one selected wearable device (621, 622, 623, 624, and / or 625) in relation to the measurement of the user's biometric information.

[0162] When the user's personal medical information includes prescription information, the electronic device (610) can control to adjust the measurement cycle of at least one wearable device (621, 622, 623, 624, and / or 625) selected according to the medication time information included in the prescription information. More specifically, the electronic device (610) can check meal time pattern information included in the user's lifestyle pattern information, and, based on the meal time pattern information, control to perform biometric information measurement through at least one wearable device (621, 622, 623, 624, and / or 625) selected according to the medication time information before meal time.

[0163] In the following examples, the operations may be performed sequentially, but are not necessarily sequential. For example, the order of the operations may be changed, and at least two operations may be performed in parallel.

[0164] According to one embodiment, operations 910 to 950 may be understood to be performed by a processor (710) (e.g., processor (120) of FIG. 1) of an electronic device (610) (e.g., electronic device (101) of FIG. 1).

[0165] FIG. 10 is a diagram illustrating an example of personalized reference information according to one embodiment.

[0166] Referring to Figure 10, the x-axis in the graph may represent a measurement value of biometric information, and the y-axis may represent the number of measurements.

[0167] According to one embodiment, the biometric information personalization module (712) can remove noise considering the degree of the user's movement and learn the user's condition for biometric information recorded over time by the biometric information recording module (711). According to one embodiment, the biometric information personalization module (712) can determine the individual's daily measurement range (very good, good) or abnormal measurement range (caution, borderline, serious) from a statistical perspective (e.g., probability distribution) through artificial intelligence (AI) based on the range of accumulated data calculated by considering data corresponding to physical factors, environmental factors, or mental factors included in the biometric information, considering the medical normal range for each item (electrocardiogram, heart rate and rhythm, blood oxygen saturation, blood pressure, body temperature). In addition, the biometric information personalization module (712) can generate reference information (1010, 1020) for each user. At this time, the artificial intelligence may be on-device artificial intelligence or cloud artificial intelligence through a network.

[0168] Examples of physical, environmental, and psychological factors are provided below.

[0169] physical factors

[0170] 1. As you age, your heart rate may naturally decrease.

[0171] 2. If you are overweight or have a high body fat percentage, your heart must pump more blood and oxygen.

[0172] 3. When body temperature is high, the heart increases its heart rate to regulate body temperature, which can affect blood pressure.

[0173] environmental factors

[0174] 1. As altitude increases, oxygen supply decreases, and heart rate may increase to provide oxygen.

[0175] 2. When the temperature is high, the heart increases its heart rate to regulate body temperature, which can affect blood pressure.

[0176] 3. High humidity can make it difficult to release heat, which can cause body temperature to rise.

[0177] 4. In low humidity, moisture evaporates quickly, which can cause dehydration, which can increase blood viscosity and blood pressure.

[0178] psychological factors

[0179] 1. Stress, tension, and anxiety increase the heart rate, which increases blood pressure and tries to supply more oxygen. High blood pressure can cause the electrocardiogram to show a faster heart rate than the normal heart rate cycle, an irregular heart rhythm, large fluctuations in the beat-to-beat interval, and a shortened RR interval on the electrocardiogram.

[0180] 2. Under stress and tension, blood flow to the heart can fluctuate, affecting the ST segment of the electrocardiogram and affecting the muscle fibers of the heart, which can cause changes in the shape or size of the T wave of the electrocardiogram.

[0181] According to one embodiment, the processor (710) (e.g., artificial intelligence (AI)) can determine the user's status information based on the physical, environmental, and formal factors when measuring the user's biometric information. The user's status information can be used to generate reference information. According to one embodiment, the processor (710) (e.g., artificial intelligence (AI)) can analyze the user's biometric information waveform measured in real time to determine the user's status information, and compare the user's status information with reference information including the user's status information to more accurately determine the user's health status.

[0182] FIG. 11 is a diagram illustrating an example of analyzing a biological state through an electrocardiogram according to one embodiment.

[0183] Referring to Figure 11, the P wave is a waveform representing the conduction of impulses in the atrium, which occurs when the atrium depolarizes and contracts. An elevated P wave may indicate atrial hypertrophy.

[0184] In one embodiment, the PR interval can represent the time from the onset of the P wave to the onset of the QRS complex, from atrial excitation to ventricular excitation. An increased PR interval may indicate a conduction disturbance somewhere in the His bundle, from the atrioventricular node between the atria and ventricles.

[0185] According to one embodiment, the QRS complex is a waveform that represents the point at which the electrical impulse spreads from the interventricular septum to the entire ventricle, and is a waveform that appears during ventricular contraction and ventricular depolarization. The biomedical condition analysis module (713) may suspect ventricular hypertrophy if the QRS complex is high.

[0186] In one embodiment, the ST segment may represent a brief plateau phase during which the ventricular muscle completes contraction and rests. If the ST segment is elevated, the vital status analysis module (713) may suspect myocardial damage, myocardial infarction, or angina. If the ST segment is depressed, the vital status analysis module (713) may suspect myocardial ischemia or endoventricular ischemia.

[0187] In one embodiment, the T wave may indicate ventricular repolarization and the recovery phase after ventricular contraction. If the T wave is elevated, the vital status analysis module (713) may suspect hyperkalemia or acute myocardial infarction. If the T wave is depressed, the vital status analysis module (713) may suspect hypokalemia or hypothyroidism.

[0188] In one embodiment, the QT interval (QT interval) may represent the electrical activity time from ventricular depolarization to repolarization, from the beginning of the QRS wave to the end of the T wave. The biomedical state analysis module (713) may suspect the possibility of ventricular tachycardia arrhythmia if the QT interval is prolonged, as the refractory period of the ventricular muscle is prolonged.

[0189] According to one embodiment, the analysis of the electrocardiogram waveform may be performed by a processor (710) (e.g., artificial intelligence (AI)) that analyzes and learns the user's condition to generate a personalized electrocardiogram standard, and determines the user's health condition based on the user's electrocardiogram waveform measured in real time according to the personalized electrocardiogram standard.

[0190] FIG. 12 is a diagram illustrating an example related to properties of multiple wearable devices according to one embodiment.

[0191] Referring to FIG. 12, the smartwatch may include, for example, at least one of a PPG, an ECG, a motion sensor, and a body temperature sensor, and may have a high battery capacity among wearable devices.

[0192] The smart ring may include, for example, at least one of a PPG, an ECG, and a motion sensor, and may be advantageous for measurement in situations with a lot of movement due to its excellent contact with the body.

[0193] A smart belt can include, for example, motion sensors and magnetic sensors, have a good battery capacity, and can use the magnetic sensor to measure waist circumference and estimate weight gain, and can accurately measure the time a user actually sits.

[0194] Wireless earphones may include, for example, at least one of a PPG, EEG, and motion sensor, may provide audible notifications to the user, and may have excellent adhesion to the body depending on the structure of the device.

[0195] Smart glasses can include, for example, at least one of PPG, EEG, and motion sensors, and can be highly reliable if they can provide visual alerts to the user and measure heart rate at the temple.

[0196] According to one embodiment, wearable devices such as wireless earphones and smart glasses can be worn on a user's head, and similarly, wearable devices in the form of head-wearable devices (e.g., smart hats or smart headbands) can include an EEG capable of measuring brain waves.

[0197] FIG. 13 is a diagram illustrating an example of setting measurement intervals of multiple wearable devices according to one embodiment.

[0198] Referring to FIG. 13, the first measurement interval (1310) may be a case where wearable devices are measured simultaneously at equal intervals. The biometric measurement control module (714) may evaluate the reliability of each wearable device by comparing the biometric information of the wearable devices measured at equal intervals.

[0199] According to one embodiment, the second measurement interval (1320) may be a case where the user's biometric information is measured when the user's health condition is within the normal measurement range.

[0200] According to one embodiment, the third measurement interval (1330) may be a case where the wearable devices measure the user's biometric information at different times and at relatively more frequent intervals than the daily measurement range when the user's health condition is within the non-daily measurement range.

[0201] According to one embodiment, the biometric control module (714) can control to reduce the interval at which biometric information is measured from at least one wearable device (621, 622, 623, 624, and / or 625) when the health condition falls within the abnormal measurement range.

[0202] According to one embodiment, the biometric measurement control module (714) may increase the power efficiency of the wearable device being measured by performing measurements in an intersecting manner so that the measurement times of the wearable devices do not overlap in the second measurement interval (1320) and the third measurement interval (1330).

[0203] FIG. 14 is a diagram illustrating an example of setting measurement intervals of multiple wearable devices according to one embodiment, depending on whether the measurement interval is before or after a meal and whether it is a daily measurement range or an unusual measurement range.

[0204] Referring to FIG. 14, the fourth measurement interval (1410) may represent a change in the measurement interval of the wearable device when the user's health condition falls within the daily measurement range before and after meal time (1450) and after medication time.

[0205] According to one embodiment, the fifth measurement interval (1420) may represent a change in the measurement interval of the wearable device when the user's health condition falls within the non-routine measurement range before and after meal time (1450) and after medication time.

[0206] According to one embodiment, the biometric control module (714) can check the meal time (1450), set a pre-meal or pre-medication measurement interval (1430) before the meal time (1450) to indicate a pre-meal or pre-medication measurement interval, and measure the user's biometric information in the pre-medication measurement interval (1430). At this time, the biometric control module (714) can induce the user to take medication by notifying the user of an alarm before the meal or pre-medication through the information output module (715).

[0207] According to one embodiment, the biometric control module (714) may confirm the user's meal time through the user's input, and may estimate the user's meal time based on the learned result by learning changes in biometric information that change after the user eats.

[0208] The processor (710) learns prescription information and the user's lifestyle pattern information, measures the user's biometrics in advance before taking the medication by referring to the medication time and the user's meal time pattern, and measures the biometrics after taking the medication, and can determine whether the medication has been taken based on changes in the biometric information measured before and after taking the medication.

[0209] According to one embodiment, the biometric control module (714) may set a post-medication measurement section (1440) indicating a measurement section after the user's meal and medication, and measure the user's biometric information in the post-medication measurement section (1440). At this time, the biometric control module (714) may control the wearable device to measure the user's biometric information more frequently in the post-medication measurement section (1440) than in the pre-medication measurement section (1430) by reducing the measurement interval in the post-medication measurement section (1440) compared to the measurement interval in the pre-medication measurement section (1430). In addition, if the biometric control module (714) determines that the user's biometric information is included in the non-routine measurement range as a result of the post-medication measurement, the biometric control module (714) may control the wearable device to measure the user's biometric information more frequently than in the routine measurement range.

[0210] According to one embodiment, the biometric control module (714) may confirm whether the user has taken the medication through the user's input, or may estimate whether the user has taken the medication by detecting changes in biometric information that change after the user has taken the medication.

[0211] FIG. 15 is a diagram illustrating an example of an operation according to a health state measured according to one embodiment.

[0212] Referring to FIG. 15, the information output module (715) can output notification information (1510) when the health status falls within a first designated range among the non-routine measurement ranges. That is, the information output module (715) can determine that the user needs to take medication and issue a medication alarm.

[0213] In one embodiment, the information output module (715) may provide a user interface (1520) that allows the user to select an emergency call along with an alarm when the health condition falls within a second designated range among the non-routine measurement ranges. That is, the information output module (715) may provide an interface for an emergency call so that the user can immediately make an emergency call when the user determines that the user needs to take medication and the user's condition may be critical along with a medication alarm.

[0214] According to one embodiment, the information output module (715) may perform a preset emergency call (1530) when the health condition falls within a third designated range among the abnormal measurement ranges, and control to change the state of an external electronic device (e.g., an electric vehicle capable of autonomous driving) in which the user is riding (e.g., to transfer driving control to the vehicle). That is, the information output module (715) may perform an emergency call when it determines that the health condition of the user is critical, and if the user is driving an electric vehicle capable of autonomous driving, control to transfer driving control to the electric vehicle and drive the user to a nearby emergency room.

[0215] According to one embodiment, the first designated range, the second designated range, and the third designated range are arranged in the order of caution, alert, and serious, respectively, with the third designated range being the worst state of the user's condition.

[0216] According to one embodiment, an electronic device (610) comprises: a communication circuit (701) capable of connecting to a plurality of wearable devices (620); a memory (704) for storing reference information for a daily measurement range or an unusual measurement range corresponding to biometric information of a user based on information recorded through attribute information related to characteristics of the plurality of wearable devices (620) and first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) and first situation information corresponding to the first biometric information; And at least one processor (710), wherein the at least one processor (710) obtains second biometric information of the user and second situation information corresponding to the second biometric information received through at least one device among the plurality of wearable devices (620), and, based on the second biometric information and the second situation information, determines a health status of the user according to the reference information, and, based on the health status, the attribute information, and the personal medical information of the user, selects at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) to measure the biometric information of the user, and, in relation to the measurement of the biometric information of the user, controls to adjust a biometric information measurement cycle and a biometric information measurement time point of the selected at least one wearable device (621, 622, 623, 624, and / or 625).

[0217] According to one embodiment, the user's personal medical information includes prescription information, and the at least one processor (710) can select the at least one wearable device (621, 622, 623, 624, and / or 625) to measure the user's biometric information based at least on the prescription information.

[0218] According to one embodiment, the at least one processor (710) may be controlled to adjust the measurement cycle according to medication time information included in the prescription information.

[0219] According to one embodiment, the at least one processor (710) can check meal time pattern information included in the user's lifestyle pattern information, and, based on the meal time pattern information, control the biometric information measurement to be performed according to the medication time information before the meal time.

[0220] According to one embodiment, an electronic device (610) comprises: a communication circuit (701) capable of connecting to a plurality of wearable devices (620); a memory (704) for storing reference information for a daily measurement range or an unusual measurement range corresponding to biometric information of a user based on attribute information related to characteristics of the plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620); And a processor (710), wherein the processor (710) obtains second biometric information of the user received through at least one device among the plurality of wearable devices (620), and, based on the second biometric information, determines a health status of the user according to the reference information, and, based on the health status, the attribute information, and the personal medical information of the user, selects at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) to measure the biometric information of the user.

[0221] According to one embodiment, the at least one processor (710) may, when receiving the first biometric information, also receive first situation information corresponding to the first biometric information, and generate the reference information based on the first biometric information and the first situation information, and, when receiving the second biometric information, also receive second situation information corresponding to the second biometric information, and, based on the second biometric information and the second situation information, determine the health status of the user according to the reference information.

[0222] According to one embodiment, the at least one processor (710) may accumulate biometric information about the user by using the first biometric information and the first situation information recorded before receiving the second biometric information and the second situation information to produce statistical data, and may determine the reference information based on at least some of the statistical data, information related to the user's body, personal medical information corresponding to the user, medical history, medication information, and medical information.

[0223] According to one embodiment, the at least one processor (710) may control, in relation to measuring the user's biometric information, to adjust a measurement cycle for measuring the biometric information of the at least one selected wearable device (621, 622, 623, 624, and / or 625) or a measurement time point for measuring the biometric information.

[0224] According to one embodiment, the at least one processor (710) may obtain information corresponding to a numerical value of the body through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620), and update the information related to the body based on the information corresponding to the numerical value of the body.

[0225] According to one embodiment, the attribute information may include at least one of the type of biometric sensor included in the plurality of wearable devices (620), battery capacity, expected operating time, close contact with the living body, measurement reliability, and type information of the wearable device.

[0226] According to one embodiment, the first situation information and the second situation information may include at least one of temperature information, humidity information, altitude information, and movement information.

[0227] According to one embodiment, the at least one processor (710) can obtain the temperature information or humidity information through weather information of the area where the electronic device (610) is located.

[0228] According to one embodiment, the at least one processor (710) may obtain the altitude information or the movement information through at least one sensor included in the electronic device (610) or the plurality of wearable devices (620).

[0229] According to one embodiment, the at least one processor (710) may, based on the second situation information, simultaneously measure third biometric information about the user using the at least one wearable device (621, 622, 623, 624, and / or 625) when the dynamic movement of the user falls within a specified range, and, based on the third biometric information, may verify a wearing state or measurement reliability of the at least one wearable device (621, 622, 623, 624, and / or 625), and exclude a wearable device whose wearing state or measurement reliability falls within a specified range from an operation related to the biometric information measurement.

[0230] According to one embodiment, the at least one processor (710) may control to reduce the interval for measuring the biometric information when adjusting the measurement period for measuring the biometric information or the measurement time point for measuring the biometric information of the at least one selected wearable device (621, 622, 623, 624, and / or 625) if the health condition falls within the non-routine measurement range.

[0231] According to one embodiment, the at least one processor (710) may control the measurement time points between wearable devices included in the at least one selected wearable device (621, 622, 623, 624, and / or 625) so that the measurement time points do not overlap when adjusting the biometric information measurement cycle and biometric information measurement time points of the at least one selected wearable device (621, 622, 623, 624, and / or 625).

[0232] According to one embodiment, the at least one processor (710) may output notification information through the electronic device (610) when the health condition falls within a first designated range among the non-routine measurement ranges.

[0233] According to one embodiment, the at least one processor (710) may provide a user interface of the electronic device (610) that allows the user to select an emergency call when the health condition falls within a second designated range of the non-routine measurement ranges.

[0234] According to one embodiment, the at least one processor (710) may perform a preset emergency call and control to change the state of an external electronic device (610) on which the user is riding when the health condition falls within a third designated range among the non-routine measurement ranges.

[0235] According to one embodiment, a method for controlling a wearable device comprises: generating reference information for a daily measurement range or an unusual measurement range corresponding to biometric information of a user based on attribute information related to characteristics of a plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) (910); acquiring second biometric information of the user received through at least one of the plurality of wearable devices (620) (920); and confirming a health status of the user according to the reference information based on the second biometric information (930); And based on the health status, the attribute information, and the personal medical information of the user, it may include an operation (940) of selecting at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620) to measure the biometric information of the user.

[0236] The terms used in the examples are for illustrative purposes only and should not be construed as limiting. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this specification, the terms "comprise" or "have" should be understood to indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not exclude in advance the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0237] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person of ordinary skill in the art to which the embodiments pertain. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and shall not be interpreted in an idealized or overly formal sense unless explicitly defined herein.

[0238] In addition, when describing with reference to the attached drawings, identical components will be assigned the same reference numerals regardless of the drawing numbers, and redundant descriptions thereof will be omitted. When describing embodiments, if a detailed description of a related known technology is judged to unnecessarily obscure the gist of the embodiment, the detailed description will be omitted.

[0239] Additionally, when describing components of an embodiment, the terms first, second, A, B, (a), and (b) may be used. These terms are only intended to distinguish the components from other components, and the nature, order, or sequence of the components are not limited by the terms. When a component is described as being "connected," "coupled," or "connected" to another component, it should be understood that the component may be directly connected or connected to the other component, but another component may also be "connected," "coupled," or "connected" between each component.

[0240] Components included in one embodiment and components with common functions will be described using the same names in other embodiments. Unless otherwise stated, the descriptions given in one embodiment may also apply to other embodiments, and detailed descriptions will be omitted to the extent of overlap.

[0241] 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 of this document are not limited to the aforementioned devices.

[0242] 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.

[0243] 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).

[0244] Various embodiments of the present document may be implemented as software (e.g., a program (140)) including one or more instructions 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 instruction among the one or more instructions 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 called instruction. The one or more instructions 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.

[0245] According to one embodiment, the method according to various embodiments disclosed in this document may be provided as a computer program product. The computer program product may be traded between sellers and buyers as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)) or may be provided through an application store (e.g., Play Store). TM ) or directly between two user devices (e.g., smart phones), online distribution (e.g., downloading or uploading). In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0246] 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 arranged 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.

[0247] The embodiments of the present invention disclosed in this specification and drawings are merely specific examples presented to easily explain the technical contents according to the embodiments of the present invention and to help understand the embodiments of the present invention, and are not intended to limit the scope of the embodiments of the present invention. Therefore, the scope of the various embodiments of the present invention should be interpreted as including all changes or modified forms derived based on the technical ideas of the various embodiments of the present invention in addition to the embodiments disclosed herein.

Claims

1. In an electronic device (610), A communication circuit (701) capable of connecting to multiple wearable devices (620); A memory (704) storing reference information for a daily measurement range or an unusual measurement range corresponding to the user's biometric information based on attribute information related to the characteristics of the plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620); and including a processor (710), The above processor (710) Obtaining the second biometric information of the user received through at least one of the plurality of wearable devices (620), Based on the second biometric information, the health status of the user is confirmed according to the reference information, Based on the health status, the attribute information, and the personal medical information of the user, at least one wearable device (621, 622, 623, 624, and / or 625) for measuring the biometric information of the user is selected from among the plurality of wearable devices (620). Electronic device (610).

2. In paragraph 1, At least one processor (710) above, When receiving the first biometric information, first situation information corresponding to the first biometric information is also received, and the reference information is generated based on the first biometric information and the first situation information, When receiving the second biometric information, second situation information corresponding to the second biometric information is also received, and based on the second biometric information and the second situation information, the health status of the user is confirmed according to the reference information. Electronic device (610).

3. In any one of paragraphs 1 and 2, At least one processor (710) above, Accumulating biometric information about the user and producing statistical data using the first biometric information and the first situation information recorded before receiving the second biometric information and the second situation information, and Determining the reference information based on at least some of the above statistical data, information related to the user's body, personal medical information corresponding to the user, medical history, medication information, and medical information Electronic device (610).

4. In any one of paragraphs 1 to 3, At least one processor (710) above, In relation to the measurement of the biometric information of the user, the control is provided to adjust the measurement cycle for measuring the biometric information of the selected at least one wearable device (621, 622, 623, 624, and / or 625) or the measurement time point for measuring the biometric information. Electronic device (610).

5. In any one of paragraphs 1 to 4, At least one processor (710) above, The above body-related information is obtained by obtaining information corresponding to the body's numerical values ​​through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620), and Based on the information corresponding to the numerical value of the above body, information related to the above body is updated. Electronic device (610).

6. In any one of paragraphs 1 to 5, The above property information is, At least one of the types of biometric sensors included in the plurality of wearable devices (620), battery capacity, expected operating time, close contact with the living body, measurement reliability, and type information of the wearable device. Electronic device (610).

7. In any one of paragraphs 1 to 6, The above first situation information and the above second situation information are, Contains at least one of temperature information, humidity information, altitude information, and movement information. Electronic device (610).

8. In any one of paragraphs 1 to 7, At least one processor (710) above, The above temperature information or humidity information is obtained through weather information of the area where the electronic device (610) is located, Obtaining the altitude information or the movement information through at least one sensor included in the electronic device (610) or the plurality of wearable devices (620). Electronic device (610).

9. In any one of paragraphs 1 to 8, At least one processor (710) above, Based on the second situation information, if the dynamic movement of the user falls within a specified range, third biometric information about the user is simultaneously measured using at least one wearable device (621, 622, 623, 624, and / or 625), Based on the third biometric information, the wearing state or measurement reliability of at least one wearable device (621, 622, 623, 624, and / or 625) is confirmed, Excluding a wearable device whose wearing state or measurement reliability falls within a specified range from the operation related to the measurement of biometric information. Electronic device (610).

10. In any one of paragraphs 1 to 9, At least one processor (710) above, When adjusting the measurement cycle or the measurement time point for measuring the biometric information of the at least one selected wearable device (621, 622, 623, 624, and / or 625), the interval for measuring the biometric information is controlled to be reduced when the health condition falls within the non-routine measurement range. Electronic device (610).

11. In any one of paragraphs 1 to 10, At least one processor (710) above, When adjusting the biometric information measurement cycle and biometric information measurement time point of at least one wearable device (621, 622, 623, 624, and / or 625) selected above, Controlling the measurement time points between the wearable devices included in the above-mentioned at least one selected wearable device (621, 622, 623, 624, and / or 625) so that they do not overlap Electronic device (610).

12. In any one of paragraphs 1 to 11, At least one processor (710) above, If the above health condition falls within the first designated range among the above non-routine measurement ranges, the electronic device (610) outputs notification information. Electronic device (610).

13. In any one of paragraphs 1 to 12, At least one processor (710) above, Providing a user interface of the electronic device (610) that allows the user to select an emergency call when the health condition falls within a second designated range among the non-routine measurement ranges. Electronic device (610).

14. In any one of paragraphs 1 to 13, At least one processor (710) above, If the above health condition falls within the third designated range among the above non-routine measurement ranges, a preset emergency call is made; Controlling to change the status of an external electronic device (610) that the user is riding on Electronic device (610).

15. In a method for controlling a wearable device, An operation (910) of generating reference information for a daily measurement range or an unusual measurement range corresponding to the user's biometric information based on attribute information related to characteristics of a plurality of wearable devices (620) and information recorded through first biometric information received through at least one wearable device (621, 622, 623, 624, and / or 625) among the plurality of wearable devices (620); An operation (920) of obtaining second biometric information of a user received through at least one of the plurality of wearable devices (620); An operation (930) of checking the health status of the user based on the second biometric information and the reference information; and An operation (940) of selecting at least one wearable device (621, 622, 623, 624, and / or 625) for measuring biometric information of the user among the plurality of wearable devices (620) based on the health status, the attribute information, and the personal medical information of the user. How to include.

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