Electronic device for determining sleeping heart rate and / or sleeping heart rate variability, and method for operating electronic device

Abstract

In an electronic device and a method for operating the electronic device according to one embodiment, the electronic device may comprise a communication circuit for communicating with an external electronic device for measuring movements and / or biometric signals of a user of the electronic device. The electronic device may comprise a processor. The electronic device may comprise a memory. The memory may store instructions that, when executed by the processor, cause the electronic device to receive the user's heart rate (HR) and / or heart rate variability (HRV) measured by the external electronic device. The memory may store instructions for storing the heart rate and / or heart rate variability by mapping same to a sleep state of the user, the sleep state being determined on the basis of the user's movements measured by the external electronic device. The memory may store instructions for selecting, as a sleeping heart rate, one of a heart rate measured in a first state of the sleep state and a heart rate measured between a time point a designated time before a wake-up time of the user and the wake-up time. The memory may store instructions for selecting, as a sleeping heart variability, one of a heart rate variability measured in the first state of the sleep state and a heart rate variability measured between the time point the designated time before the wake-up time of the user and the wake-up time. The memory may store instructions for performing at least one operation on the basis of the sleeping heart rate and / or the sleeping heart rate variability.

Description

Electronic device for determining sleep heart rate and / or sleep heart rate variability and method of operating the electronic device

[0001] The present disclosure relates to an electronic device and a method of operating the electronic device, and relates to a technique for determining a sleep heart rate and / or a sleep heart rate variability.

[0002] Various electronic devices such as smart phones, tablet PCs, portable multimedia players (PMPs), personal digital assistants (PDAs), laptop personal computers, and / or wearable devices are becoming widespread.

[0003] Electronic devices implemented in the form of wearable devices can be implemented or configured to collect various biometric information of a user. The user's biometric information may include at least one of the user's heart rate (HR), heart rate variability (HR variability), electrocardiogram (ECG), blood pressure, and oxygen saturation.

[0004] An electronic device implemented in a wearable form to collect a user's biometric information can obtain the user's biometric information by using various types of sensors included in the electronic device (e.g., a biometric optical sensor, an electrocardiogram sensor).

[0005] The user's biometric information collected by the electronic device may include heart rate and / or heart rate variability. Heart rate may refer to the number of heartbeats per minute. Heart rate variability may be an indicator of the variation in the time interval between heartbeats.

[0006] In particular, the heart rate and / or heart rate variability measured while the user is sleeping can be used as indicators of the quality of sleep and the user's recovery from fatigue through sleep.

[0007] Heart rate and / or heart rate variability measured during sleep may vary significantly, and some heart rates and / or heart rate variability may not represent the user's heart rate and / or heart rate variability measured during sleep.

[0008] Information related to the user's body that is generated (or provided) using heart rate and / or heart rate variability, which cannot represent the user's body condition, may have low accuracy.

[0009] The technical problems to be achieved in this document are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary skill in the technical field to which the present invention belongs from the description below.

[0010] An electronic device according to one embodiment may include a communication circuit that performs communication with an external electronic device that measures a movement and / or a biosignal of a user of the electronic device. The electronic device may include a processor. The electronic device may include a memory. The memory may store an instruction that, when executed by the processor, causes the electronic device to receive a heart rate (HR) and / or a heart rate variability (HRV) of the user measured by the external electronic device. The memory may store an instruction that maps and stores the HR and / or the HRV with a sleep state of the user determined based on the movement of the user measured by the external electronic device. The memory may store an instruction that selects, as a sleep heart rate, one of the heart rate measured in a first state among the sleep states and the heart rate measured between a time point designated before a wake-up time of the user and the wake-up time. The memory may store instructions for selecting, as a sleep heart rate variability, one of the heart rate variability measured in a first state among the sleep states and the heart rate variability measured between a time point designated before the user's wake-up time and the wake-up time. The memory may store instructions for performing at least one operation based on the sleep heart rate and / or the sleep heart rate variability.

[0011] According to an example, a method of operating an electronic device may include receiving a heart rate (HR) and / or a heart rate variability (HRV) of a user measured by an external electronic device that measures a movement and / or a biosignal of the user of the electronic device. The method of operating the electronic device may include an operation of mapping the HR and / or the HRV with a sleep state of the user determined based on the movement of the user measured by the external electronic device and storing the HRV in a memory. The method of operating the electronic device may include an operation of selecting, as a sleep heart rate, one of the heart rate measured in a first state of the sleep state and a heart rate measured between a time point before a designated time from a wake-up time of the user and the wake-up time. The method of operating the electronic device may include an operation of selecting, as a sleep heart rate variability, one of the heart rate variability measured in a first state of the sleep state and a heart rate variability measured between a time point before a designated time from a wake-up time of the user and the wake-up time. The method of operating the electronic device may include performing at least one operation based on the sleep heart rate and / or the sleep heart rate variability.

[0012] A computer-readable recording medium storing instructions that, when executed by a processor of an electronic device according to an example, cause the electronic device to perform, the instructions may include instructions for receiving a heart rate (HR) and / or a heart rate variability (HRV) of the user measured by the external electronic device. The instructions may include instructions for mapping and storing the HR and / or the HRV with a sleep state of the user determined based on a movement of the user measured by the external electronic device. The instructions may include instructions for selecting, as a sleep heart rate, one of the heart rate measured in a first state of the sleep state and the heart rate measured between a time point before a designated time from a wake-up time of the user and the wake-up time. The above instructions may include an instruction for selecting, as the sleep heart rate variability, one of the heart rate variability measured in the first state among the sleep states and the heart rate variability measured between a time point designated before the user's wake-up time and the wake-up time. The instructions may include an instruction for performing at least one operation based on the sleep heart rate and / or the sleep heart rate variability.

[0013] An electronic device according to one embodiment may include a communication circuit that performs communication with an external electronic device that measures the movements and / or bio-signals of a user of the electronic device. The electronic device may include a processor. The electronic device may include a memory. The memory, when executed by the processor, may cause the electronic device to perform operations. The above operation may include an operation of receiving a heart rate (HR) and a heart rate variability (HRV) of the user measured by the external electronic device, an operation of confirming a sleep state of the user based on the user's movement measured by the external electronic device, an operation of mapping the heart rate and / or the HRV with a sleep state of the user determined based on the user's movement measured by the external electronic device, an operation of selecting one of the user's heart rate and heart rate variability measured by the external electronic device, a heart rate measured in a first state among the sleep states and a heart rate measured between a designated time and a wake-up time of the user as a sleep heart rate, an operation of selecting one of the heart rate variability measured in the first state among the sleep states and the heart rate variability measured between a designated time and the wake-up time as a sleep heart rate variability, and an operation of performing an operation based on the sleep heart rate and the sleep heart rate variability.

[0014] In an electronic device and an operating method of the electronic device according to one embodiment, the electronic device may determine, as a sleep heart rate, either a heart rate measured in a first state (e.g., a deep sleep state) or a heart rate (or an average of heart rates) measured from a time point prior to a specified time point (e.g., 5 to 30 minutes) from a user's wake-up time to the wake-up time. The electronic device may determine, as a sleep heart rate variability, either a heart rate variability measured in a first state (e.g., a deep sleep state) or a heart rate variability measured from a time point prior to a specified time point (e.g., 5 to 30 minutes) from a user's wake-up time to the wake-up time (or an average of heart rate variability). The accurate heart rate and / or heart rate variability of a user with a specific behavioral pattern (e.g., a user who is very active right before going to sleep) can be determined, and the electronic device can help improve the user's physical ability by providing information related to the user's body generated (or provided) using the sleep heart rate and / or sleep heart rate variability that can represent the state of the user's body.

[0015] The effects that can be obtained from the present disclosure are not limited to the effects mentioned above, and other effects that are not mentioned can be clearly understood by a person having ordinary skill in the art to which the present disclosure belongs from the description below.

[0016] FIG. 1 is a block diagram of an electronic device according to various embodiments of the present invention.

[0017] Figure 2 is a block diagram of a program according to one embodiment.

[0018] FIG. 3 is a diagram illustrating an electronic device and an external electronic device according to an example.

[0019] Figure 4 is a block diagram of an electronic device according to an example.

[0020] FIG. 5A is a diagram illustrating heart rate variability according to sleep stages in an electronic device according to an example.

[0021] FIG. 5b is a diagram illustrating a heart rate change rate over time in an electronic device according to an example.

[0022] Figure 6 is a block diagram of an external electronic device according to an example.

[0023] Figure 7 is a block diagram of an electronic device according to an example.

[0024] FIG. 8A, FIG. 8B and / or FIG. 8C are diagrams illustrating an electronic device according to an example performing at least one operation based on a sleep heart rate and / or a sleep heart rate variability.

[0025] Figure 9 is a flowchart illustrating an operation method of an electronic device according to an example.

[0026] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to various embodiments. Referring to FIG. 1, in the network environment (100), the electronic device (101) may communicate with the electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with the electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). In one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0027] 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.

[0028] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, in the electronic device (101) itself where artificial intelligence is performed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0029] 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).

[0030] 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).

[0031] 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).

[0032] 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.

[0033] 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.

[0034] 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).

[0035] 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.

[0036] 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.

[0037] 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).

[0038] 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.

[0039] The camera module (180) can capture still images and moving images. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0040] 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).

[0041] 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.

[0042] 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).

[0043] 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.

[0044] 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).

[0045] 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.

[0046] 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)).

[0047] 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.

[0048] Figure 2 is a block diagram (200) illustrating a program (140) according to various embodiments. According to one embodiment, the program (140) may include an operating system (142), middleware (144), or an application (146) executable in the operating system (142) for controlling one or more resources of the electronic device (101). The operating system (142) may be, for example, Android. TM , iOS TM , Windows TM , Symbian TM , Tizen TM , or Bada TM At least some of the programs (140) may be preloaded onto the electronic device (101), for example, at the time of manufacture, or may be downloaded or updated from an external electronic device (e.g., electronic device (102 or 104), or server (108)) when used by the user.

[0049] The operating system (142) may control the management (e.g., allocation or recovery) of one or more system resources (e.g., processes, memory, or power) of the electronic device (101). The operating system (142) may additionally or alternatively include one or more driver programs for driving other hardware devices of the electronic device (101), for example, an input device (150), an audio output device (155), a display device (160), an audio module (170), a sensor module (176), an interface (177), 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).

[0050] Middleware (144) can provide various functions to the application (146) so that functions or information provided from one or more resources of the electronic device (101) can be used by the application (146). Middleware (144) can include, for example, an application manager (201), a window manager (203), a multimedia manager (205), a resource manager (207), a power manager (209), a database manager (211), a package manager (213), a connectivity manager (215), a notification manager (217), a location manager (219), a graphics manager (221), a security manager (223), a call manager (225), or a voice recognition manager (227).

[0051] The application manager (201) can manage, for example, the life cycle of the application (146). The window manager (203) can manage, for example, one or more GUI resources used on the screen. The multimedia manager (205) can, for example, identify one or more formats required for playing media files, and perform encoding or decoding of a corresponding media file among the media files using a codec suitable for the corresponding format selected among the formats. The resource manager (207) can manage, for example, the source code of the application (146) or the memory space of the memory (130). The power manager (209) can manage, for example, the capacity, temperature, or power of the battery (189), and determine or provide related information necessary for the operation of the electronic device (101) using the corresponding information. According to one embodiment, the power manager (209) can be linked with the basic input / output system (BIOS) (not shown) of the electronic device (101).

[0052] The database manager (211) can, for example, create, search, or modify a database to be used by the application (146). The package manager (213) can, for example, manage the installation or update of an application distributed in the form of a package file. The connectivity manager (215) can, for example, manage a wireless connection or direct connection between the electronic device (101) and an external electronic device. The notification manager (217) can, for example, provide a function for notifying a user of the occurrence of a specified event (e.g., an incoming call, a message, or an alarm). The location manager (219) can, for example, manage location information of the electronic device (101). The graphics manager (221) can, for example, manage one or more graphic effects to be provided to the user or a user interface related thereto.

[0053] The security manager (223) may provide, for example, system security or user authentication. The telephony manager (225) may manage, for example, a voice call function or a video call function provided by the electronic device (101). The voice recognition manager (227) may, for example, transmit the user's voice data to the server (108) and receive, from the server (108), a command corresponding to a function to be performed in the electronic device (101) based at least in part on the voice data, or text data converted based at least in part on the voice data. In one embodiment, the middleware (244) may dynamically delete some existing components or add new components. In one embodiment, at least a portion of the middleware (144) may be included as a part of the operating system (142) or implemented as separate software different from the operating system (142).

[0054] The application (146) may include, for example, a home (251), a dialer (253), an SMS / MMS (255), an instant message (IM) (257), a browser (259), a camera (261), an alarm (263), a contact (265), a voice recognition (267), an email (269), a calendar (271), a media player (273), an album (275), a watch (277), a health (279) (e.g., measuring biometric information such as the amount of exercise or blood sugar), or an environmental information (281) (e.g., measuring barometric pressure, humidity, or temperature information) application. According to one embodiment, the application (146) may further include an information exchange application (not shown) that can support information exchange between the electronic device (101) and an external electronic device. The information exchange application may include, for example, a notification relay application configured to transmit designated information (e.g., a call, a message, or an alarm) to an external electronic device, or a device management application configured to manage an external electronic device. The notification relay application may, for example, transmit notification information corresponding to a designated event (e.g., receipt of an email) that occurs in another application (e.g., an email application (269)) of the electronic device (101) to the external electronic device. Additionally or alternatively, the notification relay application may receive notification information from the external electronic device and provide the information to the user of the electronic device (101).

[0055] The device management application may control, for example, the power (e.g., turning on or off) or the function (e.g., brightness, resolution, or focus of the display device (160) or the camera module (180)) of an external electronic device or a component thereof (e.g., a display device (160) or a camera module (180)) that communicates with the electronic device (101). The device management application may additionally or alternatively support the installation, deletion, or update of an application running on the external electronic device.

[0056] FIG. 3 is a diagram illustrating an electronic device and an external electronic device according to an example.

[0057] Referring to FIG. 3, an electronic device (310) (e.g., the electronic device (101) of FIG. 1) may be an electronic device that obtains a user's biometric information and performs various operations based on the biometric information.

[0058] In one example, a user's biometric information may include information related to the user's health. For example, the user's biometric information may include at least one of the following: heart rate (HR), heart rate variability, electrocardiogram (ECG), blood pressure, and oxygen saturation. In addition to the examples described above, the user's biometric information may include various other types of information.

[0059] Heart rate can refer to the number of heartbeats per minute. Heart rate variability can be an indicator of the variation in the time interval between heartbeats. An electrocardiogram can refer to the electrical signals of the heart resulting from contraction and / or relaxation. Blood pressure can refer to the pressure exerted on blood vessels by blood flow. Oxygen saturation can refer to the degree to which hemoglobin in the blood contains oxygen.

[0060] The electronic device (310) can obtain the user's biometric information by using various sensors (e.g., biometric optical sensor, electrocardiogram sensor) included in the electronic device (310).

[0061] According to one example, the electronic device (310) can obtain the user's biometric information by using an external electronic device (320) that is wirelessly connected to the electronic device (310). The external electronic device (320) may be a wearable electronic device that can be worn by the user of the electronic device (310) or the external electronic device (320). For example, the external electronic device (320) may be an electronic device (e.g., a smart watch or a smart ring) that is worn on the user's body (e.g., the user's wrist, the user's finger).

[0062] An external electronic device (320) can obtain a user's biometric information by using various sensors (e.g., a biometric optical sensor, an electrocardiogram sensor) included in the external electronic device (320), and transmit the obtained user's body information to the electronic device (310) via short-range wireless communication (e.g., BLE, Wi-Fi, Zigbee).

[0063] The electronic device (310) can perform at least one operation based on the user's biometric information acquired by the electronic device (310) and / or the user's biometric information acquired by an external electronic device (320).

[0064] According to one example, the electronic device (310) may generate guide information that can assist the user's physical abilities based on the user's biometric information acquired by the electronic device (310) and / or the user's biometric information acquired by an external electronic device (320) and / or provide the guide information to the user in various ways (e.g., display on a display, output through a speaker).

[0065] According to one example, the electronic device (310) may generate information related to the user's vitality based on the user's biometric information acquired by the electronic device (310) and / or the user's biometric information acquired by an external electronic device (320). The information related to the user's vitality may be implemented in the form of numbers or text. For example, the information related to the user's vitality may include a number (or score) indicating the level of the user's vitality.

[0066] Figure 4 is a block diagram of an electronic device according to an example.

[0067] According to one embodiment, an electronic device (e.g., electronic device (310) of FIG. 3) may include a communication circuit (e.g., wireless communication module (192) of FIG. 1) (410), a processor (e.g., processor (120) of FIG. 1) (420), and / or a memory (e.g., memory (130) of FIG. 1) (430).

[0068] The communication circuit (410) may include various circuit structures used for modulating and / or demodulating signals within the electronic device (310). For example, the communication circuit (410) may modulate a baseband signal into a radio frequency (RF) band signal to be output through an antenna (not shown), or may demodulate an RF band signal received through the antenna into a baseband signal and transmit the baseband signal to the processor (420). The communication circuit (410) may support short-range wireless communication (e.g., Bluetooth, low-power Bluetooth, Wi-Fi, and / or Zigbee), and may be connected to an external electronic device (e.g., the external electronic device (320) of FIG. 3) through short-range wireless communication to receive data transmitted by the external electronic device (e.g., a user's bio-signal acquired (or measured) by the external electronic device (320).

[0069] The processor (420) is operatively connected to the communication circuit (410) and can control the operation of the communication circuit (410).

[0070] The memory (430) can store instructions that can be executed by the processor (420). The operations of the processor (420) described below can be performed according to the execution of instructions stored on the memory (430).

[0071] The processor (420) can receive the user's heart rate and / or heart rate variability measured by the external electronic device (320) from the external electronic device (320).

[0072] An external electronic device (320) can measure heart rate and / or heart rate variability at specified times (or cycles) while the external electronic device (320) is worn on a part of the user's body (e.g., wrist and / or finger).

[0073] Heart rate can refer to the number of heartbeats per minute. Heart rate can vary depending on the user's state. For example, heart rate may be relatively high when the user is exercising vigorously. Furthermore, heart rate may be relatively low when the user is resting. Heart rate may be lower when the user is sleeping compared to other states.

[0074] Heart rate variability (HRV) can be an indicator of the variation in the time interval between heartbeats. HRV can be a value related to a user's physical health. For example, a higher HRV may indicate a healthier user. Conversely, a lower HRV may indicate a less healthy user.

[0075] An external electronic device (320) can measure (or obtain) a user's heart rate and / or heart rate variability by having a first sensor (e.g., a biometric sensor) included in the external electronic device (320) emit (or output) an optical signal to the user's body and receive and / or analyze a signal reflected by the user's body.

[0076] Information including heart rate and / or heart rate variability may be received by the communication circuit (410) via short-range wireless communication.

[0077] The processor (420) can receive the heart rate and / or heart rate variability transmitted by the external electronic device (320) and store it on the memory (430).

[0078] According to one example, the processor (420) may store mapping data that maps a user's state determined based on the user's movement and / or heart rate and a heart rate and / or heart rate variability measured in the determined state on the memory (430).

[0079] The user's state may include the user's sleep state. Specifically, the processor (420) may map the heart rate and / or heart rate variability measured by an external electronic device (320) while the user is sleeping to the user's sleep state, and store the mapped mapping data in the memory (430).

[0080] According to one example, a user's sleep state may be distinguished based on the degree of movement of the user while sleeping. For example, the user's sleep state may include a deep sleep state in which the user's movement is the lowest and the user's heart rate is relatively low, a REM sleep state in which the user's movement is the lowest and the user's heart rate is relatively high, a light sleep state in which the user's movement is relatively high, and / or a wake-up sleep state in which the user's movement is relatively high and the user's heart rate is relatively high. The four sleep states described above are merely examples that may vary depending on the user, and may be implemented in various ways by the user and / or the manufacturer of the electronic device (310).

[0081] The processor (420) can receive information indicating the degree of movement of the user measured by the external electronic device (320) through short-range wireless communication, and can distinguish (or determine, set) the sleep stage based on the degree of movement of the user.

[0082] In one example, the processor (420) may distinguish (or determine, or set) a sleep stage based on information indicating the degree of movement of the user measured by the electronic device (310) when the electronic device (310) is worn on at least a portion of the user's body.

[0083] The processor (420) can distinguish the sleep state during the user's sleep time and store mapping data, in which the heart rate and / or heart rate variability measured in each of the distinguished sleep states are mapped to the sleep state, in the memory (430). Table 1 below describes an example of the mapping data.

[0084] Sleep state Heart rate Heart rate variability (e.g., standard deviation of the NN interval (SDNN) or square root of the mean of the sum of the square of differences between adjacent NN intervals (RMSD)) Deep sleep 42 bpm 80 ms REM sleep 52 bpm 70 ms Light sleep 54 bpm 60 ms Wake up 62 bpm 62 ms

[0085] The processor (420) may store mapping data in which heart rate and / or heart rate variability are mapped to a sleep state on the memory (430), as in the example described above.

[0086] The processor (420) may determine, by referring to the mapping data (or heart rate and / or heart rate variability), one of at least one heart rate measured during sleep as a sleep heart rate (sleep HR), which refers to a heart rate representative of the heart rates measured during sleep (or the most reliable heart rate).

[0087] Determining (or selecting) a sleep heart rate may be configured or provided to generate and / or provide accurate (or reliable) information related to the user's body based on the sleep heart rate representing the measured heart rate.

[0088] The processor (420) may refer to the sleep state included in the mapping data when selecting (or determining) a sleep heart rate among the measured heart rates. According to one example, the processor (420) may select a heart rate measured in a deep sleep state as the sleep heart rate among the measured heart rates. The deep sleep state is a state in which the user's body can recover the most, and the heart rate measured in the deep sleep state may be a heart rate representative of the measured heart rates.

[0089] When there are multiple heart rates measured in a deep sleep state, the processor (420) can determine (or select) the average of the heart rates measured in a deep sleep state as the sleep heart rate.

[0090] The processor (420) may determine one of the heart rates measured in a deep sleep state among the measured heart rates and the heart rate (or average of heart rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time as the sleep heart rate.

[0091] For users with a specific pattern, a heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up may be a more reliable heart rate in indicating the user's physical health than a heart rate measured during deep sleep. The specific pattern may include a pattern in which the user is highly active before entering sleep. For users with a high level of activity prior to a specified time from 1 to 3 hours before going to sleep, the heart rate measured during deep sleep may be higher than the heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up, and the heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up may be a more reliable heart rate in indicating the user's physical health.

[0092] The processor (420) may compare one of the measured heart rates with a heart rate measured in a deep sleep state and a heart rate (or an average of heart rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time, and determine (or select) a heart rate with a lower magnitude as the sleep heart rate.

[0093] According to one example, the processor (420) may determine (or select) a heart rate (or an average of heart rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate. The processor (420) may monitor (or check) the user's activity level prior to a specified time before the user goes to bed, and, if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount), determine (or select) a heart rate (or an average of heart rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate. The processor (420) may not check the user's heart rate during sleep if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount).

[0094] The processor (420) may, by referring to the mapping data (or heart rate and / or heart rate variability), determine one of at least one heart rate variability measured during sleep of the user as a sleep heart rate variability (sleep HRV), which refers to a heart rate variability representing the heart rate variability measured during sleep (or the most reliable heart rate variability).

[0095] Determining (or selecting) a sleep heart rate variability may be to generate and / or provide accurate (or reliable) information related to the user's body based on the sleep heart rate variability representing the measured heart rate variability.

[0096] The processor (420) may refer to the sleep state included in the mapping data when selecting (or determining) the sleep heart rate variability among the measured heart rate variability rates. According to one example, the processor (420) may select the heart rate variability measured in a deep sleep state among the measured heart rate variability rates as the sleep heart rate variability. The deep sleep state is a state in which the user's body can recover the most, and the heart rate variability measured in the deep sleep state may be a heart rate variability representing the measured heart rate variability rates.

[0097] When there are multiple heart rate variability rates measured in a deep sleep state, the processor (420) can determine (or select) the average of the heart rate variability rates measured in a deep sleep state as the sleep heart rate variability rate.

[0098] The processor (420) may determine one of the heart rate variability rates measured in a deep sleep state among the measured heart rate variability rates and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time as the sleep heart rate variability rate.

[0099] For users with a specific pattern, the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time may be a more reliable heart rate variability in indicating the user's physical health than the heart rate variability measured during deep sleep. The specific pattern may include a pattern in which the user has a high level of activity before entering sleep. For users with a high level of activity before a specified time from the wake-up time to the wake-up time (e.g., 1 to 3 hours), the heart rate variability measured during deep sleep may be lower than the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time, and the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time may be a more reliable heart rate variability in indicating the user's physical health.

[0100] The processor (420) may compare one of the measured heart rate variability rates among the heart rate variability rates measured in a deep sleep state and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time, and determine (or select) the heart rate variability rate with a larger magnitude as the sleep heart rate variability rate.

[0101] According to one example, the processor (420) may determine (or select) the heart rate variability (or average of heart rate variability) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate variability. The processor (420) may monitor (or confirm) the user's activity level prior to a specified time before the user goes to bed, and if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount), determine (or select) the heart rate variability (or average of heart rate variability) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate variability. The processor (420) may not determine the user's heart rate variability during sleep if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount).

[0102] The processor (420) can perform at least one operation based on the sleep heart rate and / or sleep heart rate variability.

[0103] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action of displaying (or outputting) sleep heart rate and / or sleep heart rate variability.

[0104] According to one example, the processor (420) may display the sleep heart rate and / or sleep heart rate variability on a display (e.g., the display module (160) of FIG. 1).

[0105] The sleep heart rate displayed on the display (160) can be displayed as the heart rate according to the user's sleep time, and can be displayed together with the history of the sleep heart rate.

[0106] The sleep heart rate variability displayed on the display (160) can be displayed as the sleep heart rate variability according to the user's sleep time, and can be displayed together with the history of the sleep heart rate variability.

[0107] Sleep heart rate and / or sleep heart rate variability may also be displayed on the display (160) as sleep heart rate and / or sleep heart rate variability of a user other than the user.

[0108] In one example, the processor (420) may provide a user interface that allows a user to input sleep heart rate and / or sleep heart rate variability.

[0109] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action that provides information related to a vitality state of the user determined (or generated) based on sleep heart rate and / or sleep heart rate variability.

[0110] Information related to a user's vitality status may include a score that quantifies the user's vitality status. The score quantifying the user's vitality status may be referred to as a vitality score. A higher user's vitality score may indicate that the user is capable of performing higher-intensity activities. Conversely, a lower user's vitality score may indicate that the user should avoid higher-intensity activities. For example, the processor (420) may check a sleep heart rate and / or a sleep heart rate variability, and determine (or calculate) the user's vitality score based on the sleep heart rate and / or the sleep heart rate variability. In one example, the processor (420) may output (or determine, calculate) a higher vitality score as the sleep heart rate decreases and / or the sleep heart rate variability increases. The processor (420) may output (or determine, calculate) a lower vitality score as the sleep heart rate increases and / or the sleep heart rate variability decreases. The processor (420) may determine a vitality score by considering various information of the user (e.g., the user's exercise history, the user's sleep time) as well as the sleep heart rate and / or sleep heart rate variability. For example, the processor (420) may calculate (or output, determine, calculate) a higher vitality score if the user's sleep time is similar to the user's average sleep time. The processor (420) may calculate (or output, determine, calculate) a lower vitality score if the user's exercise time is higher than the user's average exercise time. The processor (420) may display the determined vitality score on the display (160) or provide it to the user through various methods.

[0111] Information related to the user's vitality may include information that can be used as a reference when the user performs activities after waking up. For example, information related to the user's vitality may include information that guides the appropriate intensity of activities performed by the user after waking up. For example, the processor (420) may check the sleeping heart rate and / or sleeping heart rate variability and determine whether the user's vitality is suitable for performing high-intensity activities. The processor (420) may confirm that the user's vitality is suitable for performing high-intensity activities and may provide the user with a suggestion to perform high-intensity activities in various forms (e.g., a screen displayed on the display (160) or a sound output through a speaker). The processor (420) may confirm that the user's vitality is difficult for performing high-intensity activities and may provide the user with a suggestion to perform low-intensity activities in various forms (e.g., a screen displayed on the display (160) or a sound output through a speaker).

[0112] Information related to the user's vitality may include guide information that allows the user to manage his or her heart rate and / or heart rate variability. The processor (420) may display guide information related to sleep time on the display (160). Alternatively, when the heart rate is high and / or the heart rate variability is low, the processor (420) may display guide information on the display (160) that may guide activities that can reduce the user's stress (e.g., yoga, meditation, deep breathing activities, activities that allow for progressive muscle relaxation). Alternatively, when the heart rate is high and / or the heart rate variability is low, the processor (420) may display guide information on the display (160) that may guide activities that can lower the heart rate (e.g., regular low-intensity exercise). When the heart rate is high and / or the heart rate variability is low, the processor (420) may display guide information related to lifestyle habits that can lower the heart rate (e.g., diet information that can lower the heart rate, diet information that increases the heart rate) on the display (160).

[0113] FIG. 5A is a diagram illustrating heart rate variability according to sleep stages in an electronic device according to an example.

[0114] FIG. 5A illustrates a user's heart rate variability (HRV) (501) measured by an external electronic device (e.g., the external electronic device (320) of FIG. 3) in the user's sleeping state.

[0115] Heart rate variability (HRV) can be an indicator of the variation in the time interval between heartbeats. HRV can be a value related to a user's physical health. For example, a higher HRV may indicate a healthier user. Conversely, a lower HRV may indicate a less healthy user.

[0116] Referring to FIG. 5A, it can be confirmed that the heart rate variability (501) has a higher value when the user's sleep state is a deep sleep state (511, 513, 515, 517) compared to other states (e.g., light sleep state, REM sleep state, waking up from sleep). The heart rate variability measured in other states may be similar to the heart rate variability measured when the user is active. Therefore, the heart rate variability measured in the deep sleep state may be a heart rate variability that can represent the sleep state. The processor (e.g., the processor (420) of FIG. 4) may determine the heart rate variability measured in the deep sleep state as the sleep heart rate variability.

[0117] FIG. 5b is a diagram illustrating a heart rate change rate over time in an electronic device according to an example.

[0118] FIG. 5b illustrates a user's heart rate variability (HRV) (521) measured by an external electronic device (e.g., the external electronic device (320) of FIG. 3) while the user is sleeping.

[0119] Referring to the heart rate variability (521) illustrated in FIG. 5b, the heart rate variability (521) measured from a point in time prior to a specified time (e.g., 5 to 30 minutes) from the wake-up time to the wake-up time (531) may be higher than the heart rate variability measured at other times.

[0120] The user whose heart rate variability (521) shown in Figure 5b is measured may be a user with a specific behavioral pattern. This specific behavioral pattern may include a user who is highly active before entering sleep. For users with this specific behavioral pattern, a heart rate measured from a specified time prior to the wake-up time to the wake-up time may be a more reliable indicator of the user's physical health than a heart rate measured during deep sleep.

[0121] For users who are highly active before a designated time for sleep (e.g., 1 to 3 hours), the heart rate measured during deep sleep may be higher than the heart rate measured from a point before the designated time for wake-up to the time of wake-up, and the heart rate measured from a point before the designated time for wake-up to the time of wake-up may be a more reliable heart rate indicator of the user's physical health.

[0122] Accordingly, the processor (420) may compare one of the measured heart rate variability rates among the heart rate variability rates measured in a deep sleep state and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake-up time to the wake-up time, and determine (or select) the heart rate variability rate with a larger magnitude as the sleep heart rate variability rate.

[0123] Figure 6 is a block diagram of an external electronic device according to an example.

[0124] According to one embodiment, an external electronic device (e.g., an electronic device (320) of FIG. 3) may include a communication circuit (e.g., a wireless communication module (192) of FIG. 1) (610), a processor (e.g., a processor (120) of FIG. 1) (620), a memory (e.g., a memory (130) of FIG. 1) (630), a first sensor (641) (e.g., a sensor module (176) of FIG. 1) and / or a second sensor (642) (e.g., a sensor module (176) of FIG. 1). The external electronic device (320) may include at least one additional sensor in addition to the first sensor (641) and the second sensor (642).

[0125] The communication circuit (610) may include various circuit structures used for modulating and / or demodulating signals within the external electronic device (320). For example, the communication circuit (610) may modulate a baseband signal into a radio frequency (RF) band signal to be output through an antenna (not shown), or may demodulate an RF band signal received through the antenna into a baseband signal and transmit the baseband signal to the processor (620). The communication circuit (610) may support short-range wireless communication (e.g., Bluetooth, low-power Bluetooth, Wi-Fi, and / or Zigbee), and may be connected to an electronic device (e.g., the electronic device (310)) through short-range wireless communication to transmit user's biometric information acquired (or measured) by the external electronic device (320) to the electronic device (310).

[0126] The processor (620) is operatively connected to the communication circuit (610), the first sensor (641) and / or the second sensor (642) to control the operation of the communication circuit (610), the first sensor (641) and / or the second sensor (642).

[0127] The memory (630) can store instructions that can be executed by the processor (620). The operations of the processor (620) described below can be performed according to the execution of instructions stored in the memory (630).

[0128] The first sensor (641) can measure (or sense, detect) the user's biometric information while the external electronic device (320) is worn on a part of the user's body (e.g., the user's wrist, the user's finger).

[0129] In one example, a user's biometric information may include information related to the user's health. For example, the user's biometric information may include at least one of the following: heart rate (HR), heart rate variability (HR variability), electrocardiogram (ECG), blood pressure, and oxygen saturation.

[0130] Heart rate can refer to the number of heartbeats per minute. Heart rate variability can be an indicator of the variation in the time interval between heartbeats. An electrocardiogram can refer to the electrical signals of the heart resulting from contraction and / or relaxation. Blood pressure can refer to the pressure exerted on blood vessels by blood flow. Oxygen saturation can refer to the degree to which hemoglobin in the blood contains oxygen.

[0131] According to one example, the first sensor (641) may include at least one of a biometric optical sensor and an electrocardiogram sensor.

[0132] The first sensor (641) may include a light source that outputs a signal (or light having a wavelength with a specified size) to a part of the user's body in order to obtain the user's biometric information.

[0133] The light source may include at least one of a light source capable of emitting green light for measuring heart rate and / or heart rate variability, a light source capable of emitting red light for measuring more accurate heart rate and / or heart rate variability, a light source capable of emitting infrared light for measuring oxygen saturation, and a blue light source for measuring blood sugar. The processor (620) may acquire the user's biometric information by using a combination of signals (or lights) acquired by at least one or more light sources.

[0134] The second sensor (642) can measure (or sense, detect) the movement of the user's body when the external electronic device (320) is worn on a part of the user's body. According to one example, the second sensor (642) can include at least one sensor among an acceleration sensor capable of measuring the speed and / or acceleration of the external electronic device (320) and / or a gyro sensor capable of measuring the attitude of the external electronic device (320).

[0135] The processor (620) can receive information related to the user's movements from the second sensor (642) and check the user's status. The user's status may include a sleep state in which the user enters sleep or an activity state in which the user is active.

[0136] The processor (620) can determine whether the user is in a sleeping state using the second sensor (642). According to one example, the processor (620) can determine whether the user is moving based on information related to the user's movement collected using the second sensor, and if the frequency of occurrence of the user's movement and / or the magnitude of the user's movement are below a specified value, the processor can determine that the user is in a sleeping state.

[0137] Alternatively, the processor (620) may receive information related to the user's movement from the second sensor (642) and transmit the information related to the user's movement to the electronic device (310). The electronic device (310) may determine whether the user is in a sleeping state based on the information related to the user's movement. The electronic device (310) may determine whether the user is moving based on the information related to the user's movement, and may determine that the user's state is in a sleeping state if the frequency of occurrence of the user's movement and / or the magnitude of the user's movement are below a specified value.

[0138] The processor (620) can control the first sensor (641) to obtain the user's biometric information in a sleeping state.

[0139] According to one example, the processor (620) can control the first sensor (641) to emit (or output) an optical signal to the user's body at specified intervals and receive a signal reflected by the user's body. The processor (620) can analyze the reflected signal and determine (or confirm, obtain) a heart rate and / or a heart rate variability based on the analysis results.

[0140] The processor (620) can control the communication circuit (610) to transmit data including the determined heart rate and / or heart rate variability to the electronic device (310).

[0141] Figure 7 is a block diagram of an electronic device according to an example.

[0142] According to one embodiment, an electronic device (e.g., an electronic device (310) of FIG. 3) may include a communication circuit (e.g., a wireless communication module (192) of FIG. 1) (410), a processor (e.g., a processor (120) of FIG. 1) (420), a memory (e.g., a memory (130) of FIG. 1) (430), a first sensor (711) (e.g., a sensor module (176) of FIG. 1), and a second sensor (712) (e.g., a sensor module (176) of FIG. 1). The electronic device (310) may include at least one additional sensor in addition to the first sensor (711) and the second sensor (712).

[0143] The communication circuit (410) may include various circuit structures used for modulating and / or demodulating signals within the electronic device (310). For example, the communication circuit (410) may modulate a baseband signal into a radio frequency (RF) band signal to be output through an antenna (not shown), or may demodulate an RF band signal received through the antenna into a baseband signal and transmit the baseband signal to the processor (420). The communication circuit (410) may support short-range wireless communication (e.g., Bluetooth, low-power Bluetooth, Wi-Fi, and / or Zigbee). The communication circuit (410) may transmit the user's biometric information (e.g., heart rate and / or heart rate variability) measured by the electronic device (310) to an external device (e.g., a server capable of managing the user's biometric information).

[0144] The first sensor (711) can measure (or sense, detect) the user's biometric information while the electronic device (310) is worn on a part of the user's body.

[0145] In one example, a user's biometric information may include information related to the user's health. For example, the user's biometric information may include at least one of the following: heart rate (HR), heart rate variability (HR variability), electrocardiogram (ECG), blood pressure, and oxygen saturation.

[0146] According to one example, the first sensor (711) may include at least one of a biometric optical sensor and an electrocardiogram sensor.

[0147] The first sensor (711) may include a light source that outputs a signal (or light having a wavelength of a specified size) to a part of the user's body in order to obtain the user's biometric information.

[0148] The light source may include at least one of a light source capable of emitting green light for measuring heart rate and / or heart rate variability, a light source capable of emitting red light for measuring more accurate heart rate and / or heart rate variability, a light source capable of emitting infrared light for measuring oxygen saturation, and a blue light source for measuring blood sugar.

[0149] The second sensor (712) can measure (or sense, detect) the movement of the user's body when the electronic device (310) is worn on a part of the user's body. According to one example, the second sensor (712) can include at least one sensor among an acceleration sensor capable of measuring the speed and / or acceleration of the electronic device (310) and / or a gyro sensor capable of measuring the attitude of the electronic device (310).

[0150] The processor (420) is operatively connected to the communication circuit (410) and can control the operation of the communication circuit (410).

[0151] The memory (430) can store instructions that can be executed by the processor (420). The operations of the processor (420) described below can be performed according to the execution of instructions stored on the memory (430).

[0152] The processor (420) can measure the user's heart rate and / or heart rate variability using the first sensor (711).

[0153] The processor (420) can receive information related to the user's movements from the second sensor (712) and check the user's status. The user's status may include a sleep state in which the user enters sleep or an activity state in which the user is active.

[0154] The processor (420) can determine whether the user is in a sleeping state using the second sensor (712). According to one example, the processor (420) can determine whether the user is moving based on information related to the user's movement collected using the second sensor, and if the frequency of occurrence of the user's movement and / or the magnitude of the user's movement are below a specified value, the processor can determine that the user is in a sleeping state.

[0155] The processor (420) can control the first sensor (711) to obtain the user's biometric information in a sleeping state.

[0156] According to one example, the processor (420) can control the first sensor (711) to emit (or output) an optical signal to the user's body at specified intervals and receive a signal reflected by the user's body. The processor (420) can analyze the reflected signal and determine (or confirm, obtain) a heart rate and / or a heart rate variability based on the analysis results.

[0157] Heart rate can refer to the number of heartbeats per minute. Heart rate can vary depending on the user's state. For example, heart rate may be relatively high when the user is exercising vigorously. Furthermore, heart rate may be relatively low when the user is resting. Heart rate may be lower when the user is sleeping compared to other states.

[0158] Heart rate variability (HRV) can be an indicator of the variation in the time interval between heartbeats. HRV can be a value related to a user's physical health. For example, a higher HRV may indicate a healthier user. Conversely, a lower HRV may indicate a less healthy user.

[0159] The processor (420) can control the first sensor (711) to measure (or obtain) the user's heart rate and / or heart rate variability by emitting (or outputting) an optical signal to the user's body and receiving and / or analyzing a signal reflected by the user's body.

[0160] The processor (420) can receive heart rate and / or heart rate variability and store it on the memory (430).

[0161] According to one example, the processor (420) may store mapping data that maps a user's state determined based on the user's movement and / or heart rate and a heart rate and / or heart rate variability measured in the determined state on the memory (430).

[0162] The user's state may include the user's sleep state. Specifically, the processor (420) may map the heart rate and / or heart rate variability measured by an external electronic device (320) while the user is sleeping to the user's sleep state, and store the mapped mapping data in the memory (430).

[0163] According to one example, a user's sleep state may be distinguished based on the degree of movement of the user while sleeping. For example, the user's sleep state may include a deep sleep state in which the user's movement is the lowest and the user's heart rate is relatively low, a REM sleep state in which the user's movement is the lowest and the user's heart rate is relatively high, a light sleep state in which the user's movement is relatively high, and / or a wake-up sleep state in which the user's movement is relatively high and the user's heart rate is relatively high. The four sleep states described above are only examples and may be implemented in various ways by the user and / or the manufacturer of the electronic device (310).

[0164] The processor (420) can distinguish (or determine, set) sleep stages based on the user's degree of movement.

[0165] In one example, the processor (420) may distinguish (or determine, set) a sleep stage based on information indicating the degree of movement of the user measured by the second sensor (712) when the electronic device (310) is worn on at least a part of the user's body.

[0166] The processor (420) can distinguish the sleep state during the user's sleep time and store mapping data in which the heart rate and / or heart rate variability measured in each of the distinguished sleep states are mapped to the sleep state on the memory (430).

[0167] The processor (420) can store mapping data in which heart rate and / or heart rate variability are mapped to a sleep state on the memory (430).

[0168] The processor (420) may determine, by referring to the mapping data (or heart rate and / or heart rate variability), one of at least one heart rate measured during sleep as a sleep heart rate (sleep HR), which refers to a heart rate representative of the heart rates measured during sleep (or the most reliable heart rate).

[0169] Determining (or selecting) a sleep heart rate may be to generate and / or provide accurate (or reliable) information related to the user's body based on the sleep heart rate representing the measured heart rate.

[0170] The processor (420) may refer to the sleep state included in the mapping data when selecting (or determining) a sleep heart rate among the measured heart rates. According to one example, the processor (420) may select a heart rate measured in a deep sleep state as the sleep heart rate among the measured heart rates. The deep sleep state is a state in which the user's body can recover the most, and the heart rate measured in the deep sleep state may be a heart rate representative of the measured heart rates.

[0171] When there are multiple heart rates measured in a deep sleep state, the processor (420) can determine (or select) the average of the heart rates measured in a deep sleep state as the sleep heart rate.

[0172] The processor (420) may determine one of the heart rates measured in a deep sleep state among the measured heart rates and the heart rate (or average of heart rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time as the sleep heart rate.

[0173] For users with a specific pattern, a heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up may be a more reliable heart rate in indicating the user's physical health than a heart rate measured during deep sleep. The specific pattern may include a pattern in which the user is highly active before entering sleep. For users with a high level of activity prior to a specified time from 1 to 3 hours before going to sleep, the heart rate measured during deep sleep may be higher than the heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up, and the heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up may be a more reliable heart rate in indicating the user's physical health.

[0174] The processor (420) may compare one of the measured heart rates with a heart rate measured in a deep sleep state and a heart rate (or an average of heart rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time, and determine (or select) a heart rate with a lower magnitude as the sleep heart rate.

[0175] According to one example, the processor (420) may determine (or select) a heart rate (or an average of heart rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate. The processor (420) may monitor (or check) the user's activity level prior to a specified time before the user goes to bed, and, if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount), determine (or select) a heart rate (or an average of heart rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate. The processor (420) may not check the user's heart rate during sleep if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount).

[0176] The processor (420) may, by referring to the mapping data (or heart rate and / or heart rate variability), determine one of at least one heart rate variability measured during sleep of the user as a sleep heart rate variability (sleep HRV), which refers to a heart rate variability representing the heart rate variability measured during sleep (or the most reliable heart rate variability).

[0177] Determining (or selecting) a sleep heart rate variability may be to generate and / or provide accurate (or reliable) information related to the user's body based on the sleep heart rate variability representing the measured heart rate variability.

[0178] The processor (420) may refer to the sleep state included in the mapping data when selecting (or determining) the sleep heart rate variability among the measured heart rate variability rates. According to one example, the processor (420) may select the heart rate variability measured in a deep sleep state among the measured heart rate variability rates as the sleep heart rate variability. The deep sleep state is a state in which the user's body can recover the most, and the heart rate variability measured in the deep sleep state may be a heart rate variability representing the measured heart rate variability rates.

[0179] When there are multiple heart rate variability rates measured in a deep sleep state, the processor (420) can determine (or select) the average of the heart rate variability rates measured in a deep sleep state as the sleep heart rate variability rate.

[0180] The processor (420) may determine one of the heart rate variability rates measured in a deep sleep state among the measured heart rate variability rates and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time as the sleep heart rate variability rate.

[0181] For users with a specific pattern, the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time may be a more reliable heart rate variability in indicating the user's physical health than the heart rate variability measured during deep sleep. The specific pattern may include a pattern in which the user has a high level of activity before entering sleep. For users with a high level of activity before a specified time from the wake-up time to the wake-up time (e.g., 1 to 3 hours), the heart rate variability measured during deep sleep may be lower than the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time, and the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time may be a more reliable heart rate variability in indicating the user's physical health.

[0182] The processor (420) may compare one of the measured heart rate variability rates among the heart rate variability rates measured in a deep sleep state and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time, and determine (or select) the heart rate variability rate with a larger magnitude as the sleep heart rate variability rate.

[0183] According to one example, the processor (420) may determine (or select) the heart rate variability (or average of heart rate variability) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate variability. The processor (420) may monitor (or confirm) the user's activity level prior to a specified time before the user goes to bed, and if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount), determine (or select) the heart rate variability (or average of heart rate variability) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate variability. The processor (420) may not determine the user's heart rate variability during sleep if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount).

[0184] The processor (420) can perform at least one operation based on the sleep heart rate and / or sleep heart rate variability.

[0185] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action of displaying (or outputting) sleep heart rate and / or sleep heart rate variability.

[0186] According to one example, the processor (420) may display the sleep heart rate and / or sleep heart rate variability on a display (e.g., the display module (160) of FIG. 1).

[0187] The sleep heart rate displayed on the display (160) can be displayed as the heart rate according to the user's sleep time, and can be displayed together with the history of the sleep heart rate.

[0188] The sleep heart rate variability displayed on the display (160) can be displayed as the sleep heart rate variability according to the user's sleep time, and can be displayed together with the history of the sleep heart rate variability.

[0189] Sleep heart rate and / or sleep heart rate variability may also be displayed on the display (160) as sleep heart rate and / or sleep heart rate variability of a user other than the user.

[0190] In one example, the processor (420) may provide a user interface that allows a user to input sleep heart rate and / or sleep heart rate variability.

[0191] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action that provides information related to a vitality state of the user determined (or generated) based on sleep heart rate and / or sleep heart rate variability.

[0192] Information related to a user's vitality status may include a score that quantifies the user's vitality status. The score quantifying the user's vitality status may be referred to as a vitality score. A higher user's vitality score may indicate that the user is capable of performing higher-intensity activities. Conversely, a lower user's vitality score may indicate that the user should avoid higher-intensity activities. For example, the processor (420) may check a sleep heart rate and / or a sleep heart rate variability, and determine (or calculate) the user's vitality score based on the sleep heart rate and / or the sleep heart rate variability. In one example, the processor (420) may output (or determine, calculate) a higher vitality score as the sleep heart rate decreases and / or the sleep heart rate variability increases. The processor (420) may output (or determine, calculate) a lower vitality score as the sleep heart rate increases and / or the sleep heart rate variability decreases. The processor (420) may determine a vitality score by considering various information of the user (e.g., the user's exercise history, the user's sleep time) as well as the sleep heart rate and / or sleep heart rate variability. For example, the processor (420) may calculate (or output, determine, calculate) a higher vitality score if the user's sleep time is similar to the user's average sleep time. The processor (420) may calculate (or output, determine, calculate) a lower vitality score if the user's exercise time is higher than the user's average exercise time. The processor (420) may display the determined vitality score on the display (160) or provide it to the user through various methods.

[0193] Information related to the user's vitality may include information that can be used as a reference when the user performs activities after waking up. For example, information related to the user's vitality may include information that guides the appropriate intensity of activities performed by the user after waking up. For example, the processor (420) may check the sleeping heart rate and / or sleeping heart rate variability and determine whether the user's vitality is suitable for performing high-intensity activities. The processor (420) may confirm that the user's vitality is suitable for performing high-intensity activities and may provide the user with a suggestion to perform high-intensity activities in various forms (e.g., a screen displayed on the display (160) or a sound output through a speaker). The processor (420) may confirm that the user's vitality is difficult for performing high-intensity activities and may provide the user with a suggestion to perform low-intensity activities in various forms (e.g., a screen displayed on the display (160) or a sound output through a speaker).

[0194] Information related to the user's vitality may include guide information that allows the user to manage his or her heart rate and / or heart rate variability. The processor (420) may display guide information related to sleep time on the display (160). Alternatively, when the heart rate is high and / or the heart rate variability is low, the processor (420) may display guide information on the display (160) that may guide activities that can reduce the user's stress (e.g., yoga, meditation, deep breathing activities, activities that allow for progressive muscle relaxation). Alternatively, when the heart rate is high and / or the heart rate variability is low, the processor (420) may display guide information on the display (160) that may guide activities that can lower the heart rate (e.g., regular low-intensity exercise). When the heart rate is high and / or the heart rate variability is low, the processor (420) may display guide information related to lifestyle habits that can lower the heart rate (e.g., diet information that can lower the heart rate, diet information that increases the heart rate) on the display (160).

[0195] FIG. 8A, FIG. 8B and / or FIG. 8C are diagrams illustrating an electronic device according to an example performing at least one operation based on a sleep heart rate and / or a sleep heart rate variability.

[0196] In one example, an electronic device (e.g., electronic device (310) of FIG. 4) can determine (or select) a sleep heart rate and / or a sleep heart rate variability, and perform at least one action based on the sleep heart rate and / or the sleep heart rate variability.

[0197] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action of displaying (or outputting) sleep heart rate and / or sleep heart rate variability.

[0198] According to one example, the electronic device (310) can display the sleep heart rate and / or sleep heart rate variability on a display (e.g., the display module (160) of FIG. 1).

[0199] Referring to FIG. 8a, the electronic device (310) can display a screen (810) including information related to sleep heart rate on the display (160).

[0200] A screen (810) containing information related to sleep heart rate may include a graph (811) indicating a sleep heart rate determined by the user over a specified period of time (e.g., one week), a sleep heart rate determined while the user was in the most recent sleep state (e.g., 69 bpm) (812), and / or information (813) indicating a difference between a sleep heart rate determined while the user was in the most recent sleep state (e.g., 69 bpm) (812) and an average sleep heart rate.

[0201] The electronic device (310) can provide a screen (810) including information related to a sleep heart rate to a user, and can guide the user to check the sleep heart rate and / or perform an action to control the sleep heart rate by referring to the screen (810) including information related to the sleep heart rate.

[0202] Referring to FIG. 8b, the electronic device (310) can display a screen (820) including information related to sleep heart rate variability on the display (160).

[0203] A screen (820) including information related to sleep heart rate variability may include a graph (821) indicating a sleep heart rate variability determined over a user-specified period of time (e.g., one week), a sleep heart rate variability determined while the user was in the most recent sleep state (e.g., 27 ms) (822), and / or information (823) indicating a difference value between a sleep heart rate (e.g., 27 ms) (822) determined while the user was in the most recent sleep state and an average sleep heart rate.

[0204] The electronic device (310) can provide a screen (820) including information related to sleep heart rate variability to the user, and can guide the user to check the sleep heart rate variability and / or perform an action to control the sleep heart rate variability by referring to the screen (820) including information related to sleep heart rate variability.

[0205] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action that provides information related to a vitality state of the user determined (or generated) based on sleep heart rate and / or sleep heart rate variability.

[0206] Information related to a user's vitality status may include a score that quantifies the user's vitality status. The score quantifying the user's vitality status may be referred to as a vitality score. A higher user's vitality score may indicate that the user is capable of performing higher-intensity activities. Conversely, a lower user's vitality score may indicate that the user should avoid higher-intensity activities. For example, the electronic device (310) may check the user's sleep heart rate and / or sleep heart rate variability, and determine (or calculate) the user's vitality score based on the sleep heart rate and / or sleep heart rate variability. In one example, the electronic device (310) may output (or determine, calculate) a higher vitality score as the sleep heart rate decreases and / or sleep heart rate variability increases. The electronic device (310) may output (or determine, calculate) a lower vitality score as the sleep heart rate increases and / or sleep heart rate variability decreases. The electronic device (310) may determine a vitality score by considering various information of the user (e.g., the user's exercise history, the user's sleep time) as well as the sleep heart rate and / or sleep heart rate variability. For example, the electronic device (310) may calculate (or output, determine, calculate) a higher vitality score if the user's sleep time is similar to the user's average sleep time. The electronic device (310) may calculate (or output, determine, calculate) a lower vitality score if the user's exercise time is higher than the user's average exercise time. The electronic device (310) may display the determined vitality score on the display (160) or provide it to the user through various methods.

[0207] Referring to FIG. 8c, the electronic device (310) can display a screen (830) including information related to a vitality score on the display (160).

[0208] A screen (830) containing information related to a vitality score may include a sleep heart rate variability and a sleep heart rate determined while the user was in the most recent sleep state, a vitality score (831) determined based on the sleep heart rate variability and the sleep heart rate determined over a user-specified period of time, information (832) indicating a difference between an average of the vitality scores determined over a user-specified period of time (e.g., one week) and the vitality score (831), a description (833) of the vitality score (831), and / or an indicator (834) indicating a position of the determined vitality score (831) within a range of overall vitality scores.

[0209] The electronic device (310) may provide a screen (830) including information related to a vitality score to the user, and may guide the user to check the vitality score and / or perform an action to control the user's physical activity by referring to the screen (830) including information related to the vitality score.

[0210] Fig. 9 is an operation flowchart (900) illustrating an operation method of an electronic device according to an example.

[0211] An electronic device (e.g., electronic device (310) of FIG. 3) may, in operation 910, receive a user's heart rate and / or heart rate variability.

[0212] The electronic device (310) can receive the user's heart rate and / or heart rate variability measured by the external electronic device (320) from the external electronic device (320).

[0213] An external electronic device (320) can measure heart rate and / or heart rate variability at specified times (or cycles) while the external electronic device (320) is worn on a part of the user's body (e.g., wrist and / or finger).

[0214] Heart rate variability (HRV) can be an indicator of the variation in the time interval between heartbeats. HRV can be a value related to a user's physical health. For example, a higher HRV may indicate a healthier user. Conversely, a lower HRV may indicate a less healthy user.

[0215] An external electronic device (320) can measure (or obtain) a user's heart rate and / or heart rate variability by having a first sensor (e.g., a biometric sensor) included in the external electronic device (320) emit (or output) an optical signal to the user's body and receive and / or analyze a signal reflected by the user's body.

[0216] The electronic device (310) may, in operation 920, map and store the heart rate and / or heart rate variability with the user's sleep state.

[0217] The electronic device (310) can receive the heart rate and / or heart rate variability transmitted by the external electronic device (320) and store it in the memory (430).

[0218] According to one example, the electronic device (310) may store mapping data, which maps a user's state determined based on the user's movement and / or heart rate, and a heart rate and / or heart rate variability measured in the determined state, on the memory (430).

[0219] The user's state may include the user's sleep state. Specifically, the electronic device (310) may map the heart rate and / or heart rate variability measured by an external electronic device (320) while the user is sleeping to the user's sleep state, and store the mapped mapping data in the memory (430).

[0220] According to one example, a user's sleep state may be distinguished based on the degree of movement of the user while sleeping. For example, the user's sleep state may include a deep sleep state in which the user's movement is the lowest and the user's heart rate is relatively low, a REM sleep state in which the user's movement is the lowest and the user's heart rate is relatively high, a light sleep state in which the user's movement is relatively high, and / or a wake-up sleep state in which the user's movement is relatively high and the user's heart rate is relatively high. The four sleep states described above are only examples and may be implemented in various ways by the user and / or the manufacturer of the electronic device (310).

[0221] The electronic device (310) can receive information indicating the degree of movement of the user measured by the external electronic device (320) through short-range wireless communication, and can distinguish (or determine, set) the sleep stage based on the degree of movement of the user.

[0222] According to one example, the electronic device (310) can distinguish (or determine, set) sleep stages based on information indicating the degree of movement of the user measured by the electronic device (310) when the electronic device (310) is worn on at least a part of the user's body.

[0223] The electronic device (310) can distinguish the sleep state during the user's sleep time and store mapping data in which the heart rate and / or heart rate variability measured in each of the distinguished sleep states are mapped to the sleep state on the memory (430).

[0224] The electronic device (310) may, in operation 930, select one of the heart rates measured in the first state (e.g., deep sleep state) and the heart rates measured between a time point before a specified time from the wake-up time and the wake-up time as the sleep heart rate.

[0225] The electronic device (310) may, by referring to the mapping data (or heart rate and / or heart rate variability), determine one of at least one heart rate measured during sleep of the user as a sleep heart rate (sleep HR), which refers to a heart rate representative of the heart rates measured during sleep (or the most reliable heart rate).

[0226] Determining (or selecting) a sleep heart rate may be to generate and / or provide accurate (or reliable) information related to the user's body based on the sleep heart rate representing the measured heart rate.

[0227] The electronic device (310) may determine one of the heart rates measured in a first state (e.g., deep sleep state) among the measured heart rates and the heart rate (or average of heart rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time as the sleep heart rate.

[0228] For users with a specific pattern, a heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up may be a more reliable heart rate in indicating the user's physical health than a heart rate measured during deep sleep. The specific pattern may include a pattern in which the user is highly active before entering sleep. For users with a high level of activity prior to a specified time from 1 to 3 hours before going to sleep, the heart rate measured during deep sleep may be higher than the heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up, and the heart rate measured from a point in time prior to a specified time from the time of waking up to the time of waking up may be a more reliable heart rate in indicating the user's physical health.

[0229] The electronic device (310) may compare one of the measured heart rates with the heart rate measured in a deep sleep state and the heart rate (or average of heart rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time, and determine (or select) the heart rate with a lower magnitude as the sleep heart rate.

[0230] According to one example, the electronic device (310) may determine (or select) the heart rate (or average of heart rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate. The electronic device (310) may monitor (or check) the user's activity level prior to a specified time before the user goes to bed, and if the user's activity level satisfies a specified condition (e.g., the condition that the user's activity level is equal to or greater than a specified amount), determine (or select) the heart rate (or average of heart rates) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate. The electronic device (310) may not check the user's heart rate during sleep if the user's activity level satisfies a specified condition (e.g., the condition that the user's activity level is equal to or greater than a specified amount).

[0231] The electronic device (310) may, in operation 940, select one of the heart rate variability measured in the first state and the heart rate variability measured between a time point before a specified time from the wake-up time and the wake-up time as the sleep heart rate variability.

[0232] The electronic device (310) may determine one of the heart rate variability rates measured in a first state (e.g., deep sleep state) among the measured heart rate variability rates and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time as the sleep heart rate variability rate.

[0233] For users with a specific pattern, the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time may be a more reliable heart rate variability in indicating the user's physical health than the heart rate variability measured during deep sleep. The specific pattern may include a pattern in which the user has a high level of activity before entering sleep. For users with a high level of activity before a specified time from the wake-up time to the wake-up time (e.g., 1 to 3 hours), the heart rate variability measured during deep sleep may be lower than the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time, and the heart rate variability measured from a point in time before a specified time from the wake-up time to the wake-up time may be a more reliable heart rate variability in indicating the user's physical health.

[0234] The electronic device (310) may compare one of the measured heart rate variability rates among the heart rate variability rates measured in a deep sleep state and the heart rate variability rates (or average of the heart rate variability rates) measured from a time point (e.g., 5 to 30 minutes) prior to the user's wake-up time to the wake-up time, and determine (or select) the heart rate variability rate with a larger magnitude as the sleep heart rate variability rate.

[0235] According to one example, the electronic device (310) may determine (or select) the heart rate variability (or average of heart rate variability) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate variability. The electronic device (310) may monitor (or confirm) the user's activity level prior to a specified time before the user goes to bed, and, if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount), determine (or select) the heart rate variability (or average of heart rate variability) measured from a time point prior to a specified time (e.g., 5 to 30 minutes) from the user's wake up time to the wake up time as the sleep heart rate variability. The processor (420) may not determine the user's heart rate variability during sleep if the user's activity level satisfies a specified condition (e.g., a condition in which the user's activity level is equal to or greater than a specified amount).

[0236] The electronic device (310) may perform at least one operation based on the sleep heart rate and / or sleep heart rate variability in operation 950.

[0237] The electronic device (310) can perform at least one action based on the sleep heart rate and / or sleep heart rate variability.

[0238] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action of displaying (or outputting) sleep heart rate and / or sleep heart rate variability.

[0239] According to one example, the electronic device (310) can display the sleep heart rate and / or sleep heart rate variability on a display (e.g., the display module (160) of FIG. 1).

[0240] The sleep heart rate displayed on the display (160) can be displayed as the heart rate according to the user's sleep time, and can be displayed together with the history of the sleep heart rate.

[0241] The sleep heart rate variability displayed on the display (160) can be displayed as the sleep heart rate variability according to the user's sleep time, and can be displayed together with the history of the sleep heart rate variability.

[0242] At least one action based on sleep heart rate and / or sleep heart rate variability may include an action that provides information related to a vitality state of the user determined (or generated) based on sleep heart rate and / or sleep heart rate variability.

[0243] Information related to a user's vitality status may include a score that quantifies the user's vitality status. The score quantifying the user's vitality status may be referred to as a vitality score. A higher user's vitality score may indicate that the user is capable of performing higher-intensity activities. Conversely, a lower user's vitality score may indicate that the user should avoid higher-intensity activities. For example, the electronic device (310) may check the user's sleep heart rate and / or sleep heart rate variability, and determine (or calculate) the user's vitality score based on the sleep heart rate and / or sleep heart rate variability. In one example, the electronic device (310) may output (or determine, calculate) a higher vitality score as the sleep heart rate decreases and / or sleep heart rate variability increases. The electronic device (310) may output (or determine, calculate) a lower vitality score as the sleep heart rate increases and / or sleep heart rate variability decreases. The electronic device (310) may determine a vitality score by considering various information of the user (e.g., the user's exercise history, the user's sleep time) as well as the sleep heart rate and / or sleep heart rate variability. For example, the electronic device (310) may calculate (or output, determine, calculate) a higher vitality score if the user's sleep time is similar to the user's average sleep time. The electronic device (310) may calculate (or output, determine, calculate) a lower vitality score if the user's exercise time is higher than the user's average exercise time. The electronic device (310) may display the determined vitality score on the display (160) or provide it to the user through various methods.

[0244] Information related to the user's vitality may include information that can be used as a reference when the user performs activities after waking up. For example, information related to the user's vitality may include information that guides the appropriate intensity of activities performed by the user after waking up. For example, the electronic device (310) may check the sleep heart rate and / or sleep heart rate variability and determine whether the user's vitality is suitable for performing high-intensity activities. The electronic device (310) may confirm that the user's vitality is suitable for performing high-intensity activities and provide the user with a suggestion to perform high-intensity activities in various forms (e.g., a screen displayed on the display (160) or a sound output through a speaker). The electronic device (310) may confirm that the user's vitality is difficult for performing high-intensity activities and provide the user with a suggestion to perform low-intensity activities in various forms (e.g., a screen displayed on the display (160) or a sound output through a speaker).

[0245] Information related to the user's vitality may include guide information that allows the user to manage his or her heart rate and / or heart rate variability. The electronic device (310) may display guide information related to sleep time on the display (160). Alternatively, when the user's heart rate is high and / or heart rate variability is low, the electronic device (310) may display guide information on the display (160) that may guide activities that can reduce the user's stress (e.g., yoga, meditation, deep breathing activities, activities that allow for progressive muscle relaxation). Alternatively, when the user's heart rate is high and / or heart rate variability is low, the electronic device (310) may display guide information on the display (160) that may guide activities that can lower the user's heart rate (e.g., regular low-intensity exercise). The electronic device (310) may display guide information related to lifestyle habits that can lower the heart rate (e.g., diet information that can lower the heart rate, diet information that increases the heart rate) on the display (160) when the heart rate is high and / or the heart rate variability is low.

[0246] According to an example, an electronic device (310) may include a communication circuit (410) that communicates with an external electronic device (320) that measures a movement and / or a biosignal of a user of the electronic device (310). The electronic device (310) may include a processor (420). The electronic device (310) may include a memory (430). The memory (430) may store an instruction that, when executed by the processor (420), causes the electronic device (310) to receive a heart rate (HR) and / or a heart rate variability (HRV) of the user measured by the external electronic device (320). The memory (430) may store an instruction that maps and stores the heart rate and / or the HRV with a sleep state of the user determined based on the movement of the user measured by the external electronic device (320). The memory (430) may store an instruction for selecting one of the heart rate measured in a first state among the sleep states and the heart rate measured between a time point before a designated time from the user's wake-up time and the wake-up time as a sleep heart rate. The memory (430) may store an instruction for selecting one of the heart rate variability measured in a first state among the sleep states and the heart rate variability measured between a time point before a designated time from the user's wake-up time and the wake-up time as a sleep heart rate variability. The memory (430) may store an instruction for performing at least one operation based on the sleep heart rate and / or the sleep heart rate variability.

[0247] In an electronic device (310) according to an example, the instruction for selecting the sleep heart rate may include an instruction for selecting a smaller three beats as the sleep heart rate among the heart rate measured in the first state among the sleep states and the heart rate measured between a time point before a time designated from the user's wake up time and the wake up time.

[0248] In an electronic device (310) according to an example, the instruction for selecting the heart rate variability may include an instruction for selecting a larger heart rate variability as the sleep heart rate variability among the heart rate variability measured in the first state among the sleep states and the heart rate variability measured between a time point before a specified time from the user's wake-up time and the wake-up time.

[0249] In an electronic device (310) according to an example, the first state may include a state in which the user's movement measured by the external electronic device (320) is the smallest.

[0250] In an electronic device (310) according to an example, the memory (430) may further store an instruction for distinguishing sleep stages based on the user's movement measured by the external electronic device (320) and / or the user's heart rate measured by the external electronic device (320). The memory (430) may further store an instruction for storing data mapping the heart rate and / or the heart rate variability with the distinguished sleep stages in the memory (430).

[0251] In an electronic device (310) according to an example, the at least one operation may include an operation of displaying the sleep heart rate and / or the sleep heart rate variability.

[0252] In an electronic device (310) according to an example, the at least one operation may include an operation of providing information related to the user's vitality state determined based on the sleep heart rate and / or the sleep heart rate variability.

[0253] In an electronic device (310) according to an example, information related to the user's vitality state may include guide information based on the user's vitality state.

[0254] In an electronic device (310) according to an example, information related to the user's vitality state may include a vitality score indicating the user's vitality state.

[0255] According to an example, a method of operating an electronic device may include an operation of receiving a heart rate (HR) and / or a heart rate variability (HRV) of a user measured by an external electronic device (320) that measures a movement and / or a biosignal of the user of the electronic device (310). The method of operating the electronic device may include an operation of mapping the heart rate and / or the HRV with a sleep state of the user determined based on the movement of the user measured by the external electronic device (320) and storing the mapped HRV in a memory (430). The method of operating the electronic device may include an operation of selecting, as a sleep heart rate, one of the heart rate measured in a first state among the sleep states and the heart rate measured between a time point designated before a wake-up time of the user and the wake-up time. The method of operating the electronic device may include an operation of selecting, as a sleep heart rate variability, one of the heart rate variability measured in the first state among the sleep states and the heart rate variability measured between a time point designated before the user's wake-up time and the wake-up time. The method of operating the electronic device may include an operation of performing at least one operation based on the sleep heart rate and / or the sleep heart rate variability.

[0256] In an operating method of an electronic device according to an example, the operation of selecting the sleep heart rate may include an operation of selecting a smaller three beats as the sleep heart rate among the heart rate measured in a first state among the sleep states and the heart rate measured between a time point before a time designated from the user's wake up time and the wake up time.

[0257] In an operating method of an electronic device according to an example, the operation of selecting the heart rate variability may include an operation of selecting a larger heart rate variability as the sleep heart rate variability among the heart rate variability measured in a first state among the sleep states and the heart rate variability measured between a time point before a time designated from the user's wake-up time and the wake-up time.

[0258] In a method of operating an electronic device according to an example, the first state may include a state in which the user's movement measured by the external electronic device (320) is the smallest.

[0259] The operating method of an electronic device according to an example may further include an operation of distinguishing a sleep stage based on the user's movement measured by the external electronic device (320) and / or the user's heart rate measured by the external electronic device (320). The operating method of the electronic device may further include an operation of storing data mapping the heart rate and / or the heart rate variability with the distinguished sleep stage in the memory (430).

[0260] In a method of operating an electronic device according to an example, the at least one operation may include an operation of displaying the sleep heart rate and / or the sleep heart rate variability.

[0261] In a method of operating an electronic device according to one example, the at least one operation may include an operation of providing information related to a vitality state of the user determined based on the sleep heart rate and / or the sleep heart rate variability.

[0262] In a method of operating an electronic device according to an example, information related to the user's vitality state may include guide information based on the user's vitality state.

[0263] In a method of operating an electronic device according to an example, information related to the user's vitality state may include a vitality score indicating the user's vitality state.

[0264] A computer-readable recording medium storing instructions that, when executed by a processor (420) of an electronic device according to an example, are caused to be performed by the electronic device, the instructions may include instructions for receiving a heart rate (HR) and / or a heart rate variability (HRV) of the user measured by the external electronic device (320). The instructions may include instructions for mapping and storing the HR and / or the HRV with a sleep state of the user determined based on a movement of the user measured by the external electronic device (320). The instructions may include instructions for selecting one of the heart rate measured in a first state of the sleep state and the heart rate measured between a time point before a time designated from a wake-up time of the user and the wake-up time as the sleep heart rate. The above instructions may include an instruction for selecting, as the sleep heart rate variability, one of the heart rate variability measured in the first state among the sleep states and the heart rate variability measured between a time point designated before the user's wake-up time and the wake-up time. The instructions may include an instruction for performing at least one operation based on the sleep heart rate and / or the sleep heart rate variability.

[0265] In a recording medium according to an example, the instruction for selecting the sleep heart rate may include an instruction for selecting, as the sleep heart rate, a smaller three beats among the heart rate measured in a first state among the sleep states and the heart rate measured between a time point before a time designated from the user's wake-up time and the wake-up time.

[0266] An electronic device according to one embodiment may include a communication circuit that performs communication with an external electronic device that measures the movements and / or bio-signals of a user of the electronic device. The electronic device may include a processor. The electronic device may include a memory. The memory, when executed by the processor, may cause the electronic device to perform operations. The above operation may include an operation of receiving a heart rate (HR) and a heart rate variability (HRV) of the user measured by the external electronic device, an operation of confirming a sleep state of the user based on the user's movement measured by the external electronic device, an operation of mapping the heart rate and / or the HRV with a sleep state of the user determined based on the user's movement measured by the external electronic device, an operation of selecting one of the user's heart rate and heart rate variability measured by the external electronic device, a heart rate measured in a first state among the sleep states and a heart rate measured between a designated time and a wake-up time of the user as a sleep heart rate, an operation of selecting one of the heart rate variability measured in the first state among the sleep states and the heart rate variability measured between a designated time and the wake-up time as a sleep heart rate variability, and an operation of performing an operation based on the sleep heart rate and the sleep heart rate variability.

[0267] In an electronic device according to one embodiment, an operation of selecting one of a heart rate and heart rate variability of a user measured by the external electronic device, a heart rate measured in a first state among the sleep states, and a heart rate measured between a specified time and a wake-up time of the user as a sleep heart rate may include an operation of selecting a smaller heart rate.

[0268] In an electronic device according to one embodiment, an operation of selecting one of a heart rate variability measured in the first state among the sleep states and a heart rate variability measured between a designated time and the wake-up time as the sleep heart rate variability may include an operation of selecting a larger heart rate variability.

[0269] In an electronic device according to one embodiment, the first state may include a state in which the user's movement measured by the external electronic device is the smallest.

[0270] In an electronic device according to one example, the operation may further include an operation of distinguishing a sleep stage based on a movement of the user measured by the external electronic device and / or a heart rate of the user measured by the external electronic device, and an operation of storing data mapping the heart rate and / or the heart rate variability with the distinguished sleep stage in the memory.

[0271] In an electronic device according to one example, the operation may further include an operation of displaying the sleep heart rate and / or the sleep heart rate variability.

[0272] In an electronic device according to an example, the operation may further include an operation of providing information related to a vitality state of the user determined based on the sleep heart rate and the sleep heart rate variability.

[0273] In an electronic device according to an example, information related to the user's vitality may include guide information.

[0274] In an electronic device according to one example, information related to the user's vitality status may include a vitality score.

[0275] Electronic devices according to 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 embodiments of this document are not limited to the aforementioned devices.

[0276] The various embodiments of this document and the terminology used herein 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, phrases such as “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” each include all possible combinations of the items listed together in that phrase. Terms such as “first,” “second,” or “first” or “second” may be used simply to distinguish the corresponding component from other corresponding components and do not limit the corresponding components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as being “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.

[0277] The term "module" as used in 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).

[0278] Various embodiments of the present document may be implemented as software (e.g., a program (140)) including one or more commands stored in a storage medium (e.g., an internal memory (136) or an external memory (138)) readable by a machine (e.g., an electronic device (101)). For example, a processor (e.g., a processor (120)) of the machine (e.g., an electronic device (101)) may call at least one command among the one or more commands stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one command called. The one or more commands may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' simply means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0279] According to one embodiment, the method according to various embodiments disclosed in this document may be provided as included in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) through an application store (e.g., Play Store™) or directly between two user devices (e.g., smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily generated in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0280] According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single or multiple entities. According to various embodiments, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to various embodiments, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

Claims

1. In electronic devices, A communication circuit for communicating with an external electronic device that measures movements and / or biosignals of a user of the electronic device; processor; memory; The above memory, when executed by the processor, causes the electronic device to: Receiving the user's heart rate and / or heart rate variability measured by the external electronic device; Store the heart rate and / or heart rate variability by mapping it with the user's sleep state determined based on the user's movement measured by the external electronic device, Select one of the heart rates measured in the first state among the above sleep states and the heart rate measured between a time point specified before the user's wake up time and the wake up time as the sleep heart rate, Select one of the heart rate variability rates measured in the first state among the above sleep states and the heart rate variability rates measured between a time point specified before the user's wake up time and the wake up time as the sleep heart rate variability rate, An electronic device storing instructions to perform at least one action based on the sleep heart rate and / or the sleep heart rate variability.

2. In paragraph 1, The instructions for selecting the above sleeping heart rate are An electronic device including instructions for selecting, as a sleep heart rate, a smaller three beats among the heart rate measured in a first state among the sleep states and the heart rate measured between a time point designated before a wake up time of the user and the wake up time.

3. In paragraph 1, The instructions for selecting the above heart rate variability are An electronic device including instructions for selecting, as a sleep heart rate variability, a greater heart rate variability between the heart rate variability measured in a first state among the sleep states and the heart rate variability measured between a time point designated before a wake up time of the user and the wake up time.

4. In paragraph 1, The above first state is An electronic device comprising a state in which the user's movement is at its smallest as measured by the external electronic device.

5. In paragraph 1, The above memory Distinguish sleep stages based on the user's movement measured by the external electronic device and / or the user's heart rate measured by the external electronic device; An electronic device further storing instructions for storing data mapping said heart rate and / or said heart rate variability with said distinct sleep stages in said memory.

6. In paragraph 1, At least one of the above actions An electronic device comprising an operation for displaying said sleep heart rate and / or said sleep heart rate variability.

7. In paragraph 1, At least one of the above actions An electronic device comprising an operation for providing information related to a vitality state of the user determined based on said sleep heart rate and / or said sleep heart rate variability.

8. In paragraph 7, Information related to the vitality status of the above user An electronic device comprising guide information based on the user's vitality status.

9. In paragraph 7, Information related to the vitality status of the above user An electronic device comprising a vitality score indicating the vitality status of said user.

10. In the method of operating an electronic device, An action of receiving a heart rate (HR) and / or heart rate variability (HRV) of the user of the electronic device measured by an external electronic device that measures the user's movements and / or biosignals; An action of mapping the heart rate and / or the heart rate variability to a sleep state of the user determined based on the user's movement measured by the external electronic device and storing the mapped heart rate and / or the heart rate variability in memory; An action of selecting one of the heart rates measured in the first state among the above sleep states and the heart rates measured between a time point designated before the user's wake up time and the wake up time as the sleep heart rate; An action of selecting one of the heart rate variability rates measured in a first state among the above sleep states and the heart rate variability rates measured between a time point designated before the user's wake up time and the wake up time as the sleep heart rate variability rate; A method of operating an electronic device, comprising performing at least one action based on said sleep heart rate and / or said sleep heart rate variability.

11. In Article 10, The action of selecting the above sleeping heart rate is An operating method of an electronic device including an operation of selecting a smaller three beats as a sleeping heart rate among the heart rate measured in a first state among the sleeping states and the heart rate measured between a time point designated before a wake up time of the user and the wake up time.

12. In paragraph 10, The action of selecting the above heart rate variability is An operating method of an electronic device, comprising an operation of selecting a larger heart rate variability rate among the heart rate variability rate measured in a first state among the sleep states and the heart rate variability rate measured between a time point before a specified time from the user's wake up time and the wake up time, as the sleep heart rate variability rate.

13. In paragraph 10, The above first state is A method of operating an electronic device, comprising: a state in which the user's movement measured by the external electronic device is the smallest; 14. In paragraph 10, The method of operation of the above electronic device An action of distinguishing sleep stages based on the user's movement measured by the external electronic device and / or the user's heart rate measured by the external electronic device; A method of operating an electronic device further comprising storing data mapping said heart rate and / or said heart rate variability with said distinct sleep stages in said memory.

15. In paragraph 10, At least one of the above actions A method of operating an electronic device including displaying the sleep heart rate and / or the sleep heart rate variability.

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