Wearable electronic device for measuring biometric information and operating method thereof

Abstract

A wearable electronic device according to an embodiment may include: a first sensor; a second sensor; at least one processor; and a memory storing instructions. Instructions according to an embodiment may be configured, when executed by at least one processor, to cause a wearable electronic device to measure a first heart rate of a user during a first time using a first sensor in a first state of the wearable electronic device set to measure the heart rate of the user at specified intervals. Instructions according to an embodiment may be configured, when executed by the at least one processor, to cause the wearable electronic device to measure, using the first sensor, a second heart rate of the user for a second time period after the first time period based on identifying that the first heart rate exceeds a specified range. The instructions according to the embodiments may be configured, when executed by the at least one processor, to cause the wearable electronic device to output a notification indicating a heart rate anomaly of the user when a ratio identifying heart rates outside a specified range among second heart rates measured within a second time period exceeds a specified ratio.

Description

Technical Field

[0001] Embodiments of this disclosure relate to a wearable electronic device for measuring biological information and a method of operating the same. Background Technology

[0002] Recent technological advancements have led to the development of technologies for acquiring biosignals. Specifically, technologies are being developed that acquire users' biosignals through wearable electronic devices, including sensors capable of acquiring biosignals, and measure bioinformation based on these signals.

[0003] For example, wearable electronic devices may include photoplethysmography (PPG) sensors. A PPG sensor may include a light-emitting element and a light-receiving element. The PPG sensor can use the light-emitting element to output light to the user's body and the light-receiving element to detect the light reflected from the user's body. The PPG sensor can acquire a PPG signal based on the light detected by the light-receiving element.

[0004] Wearable electronic devices can measure a user's biometrics, such as heart rate, pulse, peripheral oxygen saturation (SpO2), or blood pressure, by analyzing PPG signals acquired using PPG sensors. Furthermore, wearable electronic devices can provide the measured biometrics of the user. Summary of the Invention

[0005] Technical solution

[0006] According to an embodiment, the wearable electronic device may include a first sensor, a second sensor, at least one processor, and a memory storing instructions. According to an embodiment, the instructions may be configured, when executed by at least one processor, to cause the wearable electronic device, in a first state configured to measure the user's first heart rate using the first sensor during a first time period. According to an embodiment, the instructions may be configured, when executed by at least one processor, to cause the wearable electronic device, in the first state, to measure the user's second heart rate using the first sensor during a second time period after the first time period, based on an indication that the first heart rate is outside a specified range. According to an embodiment, the instructions may be configured, when executed by at least one processor, to cause the wearable electronic device, in the first state, to output a notification indicating an abnormal heart rate in the user, based on an indication that the ratio of heart rates outside a specified range among the second heart rates measured during the second time period exceeds a specified ratio.

[0007] According to an embodiment, a method for operating a wearable electronic device may include: in a first state where the wearable electronic device is configured to measure a user's heart rate at specified time intervals, measuring the user's first heart rate using a first sensor included in the wearable electronic device during a first time period. According to an embodiment, the method for operating the wearable electronic device may include: based on an identifier that the first heart rate is outside a specified range, measuring the user's second heart rate using the first sensor during a second time period after the first time period. According to an embodiment, the method for operating the wearable electronic device may include: based on an identifier that the ratio of heart rates outside a specified range in the second heart rate measured during the second time period exceeds a specified ratio, outputting a notification indicating an abnormal heart rate in the user.

[0008] According to an embodiment, a non-transitory recording medium can store instructions to perform the following operations: in a first state where a wearable electronic device is configured to measure a user's heart rate at specified time intervals, measuring the user's first heart rate using a first sensor included in the wearable electronic device during a first time period; measuring the user's second heart rate using the first sensor during a second time period after the first time period based on an indication that the first heart rate is outside a specified range; and outputting a notification indicating an abnormal heart rate in the user based on an indication that the ratio of heart rates outside the specified range in the second heart rate measured during the second time period exceeds a specified ratio. Attached Figure Description

[0009] Figure 1 This is a block diagram illustrating an electronic device in a network environment according to various embodiments.

[0010] Figure 2a This is a diagram illustrating a wearable electronic device worn by a stationary user according to an embodiment.

[0011] Figure 2b This is a schematic block diagram illustrating the configuration of a wearable electronic device according to an embodiment.

[0012] Figure 3 This is a schematic diagram illustrating the structure of the first sensor according to an embodiment.

[0013] Figure 4 This is a flowchart illustrating the operation of a wearable electronic device according to an embodiment.

[0014] Figure 5 This is a flowchart illustrating a method for initiating a second heart rate measurement via a wearable electronic device according to an embodiment.

[0015] Figure 6 This is a flowchart illustrating a method for a wearable electronic device to output notification based on a second heart rate, according to an embodiment.

[0016] Figure 7 This is a flowchart illustrating the operation of a wearable electronic device outputting a notification according to an embodiment.

[0017] Figure 8 This is a flowchart illustrating, according to an embodiment, the operation of stopping the measurement of a second heart rate by a wearable electronic device when a command for performing another function is identified.

[0018] Figure 9 This is a diagram illustrating a notification provided by a wearable electronic device according to an embodiment.

[0019] Figure 10 This is a diagram illustrating information about a user's heart rate provided by a wearable electronic device according to an embodiment.

[0020] Figure 11 This is a diagram illustrating a notification provided by an external electronic device communicatively connected to a wearable electronic device according to an embodiment.

[0021] Figure 12 This is a diagram illustrating information about a user's heart rate provided by an external electronic device communicatively connected to a wearable electronic device, according to an embodiment. Detailed Implementation

[0022] Embodiments of this disclosure will be described in detail with reference to the accompanying drawings to enable those skilled in the art to readily implement it. However, this disclosure can be implemented in various different forms and is not limited to the embodiments described herein. In the description of the drawings, the same or similar reference numerals may be used for the same or similar components. Furthermore, for clarity and brevity, descriptions of well-known functions and configurations may be avoided in the drawings and related descriptions.

[0023] Figure 1 This is a block diagram illustrating an electronic device 101 in a network environment 100 according to various embodiments. Reference Figure 1In network environment 100, electronic device 101 can communicate with electronic device 102 via a first network 198 (e.g., a short-range wireless communication network), or with at least one of electronic device 104 or server 108 via a second network 199 (e.g., a long-range wireless communication network). According to an embodiment, electronic device 101 can communicate with electronic device 104 via server 108. According to an embodiment, electronic device 101 may include a processor 120, memory 130, input module 150, sound output module 155, display module 160, audio module 170, sensor module 176, interface 177, connection terminal 178, haptic module 179, camera module 180, power management module 188, battery 189, communication module 190, user identification module (SIM) 196, or antenna module 197. In some embodiments, at least one of the above components (e.g., connection terminal 178) may be omitted from electronic device 101, or one or more other components may be added to electronic device 101. In some embodiments, some of the components described above (e.g., sensor module 176, camera module 180, or antenna module 197) may be implemented as a single integrated component (e.g., display module 160).

[0024] Processor 120 may run software (e.g., program 140) to control at least one other component (e.g., hardware or software component) of electronic device 101 connected to processor 120, and may perform various data processing or calculations. According to one embodiment, as at least part of the data processing or calculation, processor 120 may store commands or data received from another component (e.g., sensor module 176 or communication module 190) in volatile memory 132, process the commands or data stored in volatile memory 132, and store the result data in non-volatile memory 134. According to embodiments, processor 120 may include a main processor 121 (e.g., central processing unit (CPU) or application processor (AP)) or an auxiliary processor 123 (e.g., graphics processing unit (GPU), neural processing unit (NPU), image signal processor (ISP), sensor central processor, or communication processor (CP)) that is operationally independent of or combined with the main processor 121. For example, when electronic device 101 includes a main processor 121 and an auxiliary processor 123, the auxiliary processor 123 may be adapted to consume less power than the main processor 121, or to be adapted to be dedicated to a specific function. The auxiliary processor 123 may be implemented separately from the main processor 121, or may be implemented as part of the main processor 121.

[0025] When the main processor 121 is inactive (e.g., in sleep mode), the auxiliary processor 123 (rather than the main processor 121) can control at least some of the functions or states associated with at least one component of the electronic device 101 (e.g., display module 160, sensor module 176, or communication module 190), or when the main processor 121 is active (e.g., running an application), the auxiliary processor 123 can work with the main processor 121 to control at least some of the functions or states associated with at least one component of the electronic device 101 (e.g., display module 160, sensor module 176, or communication module 190). According to embodiments, the auxiliary processor 123 (e.g., an image signal processor or a communication processor) can be implemented as part of another component (e.g., camera module 180 or communication module 190) functionally associated with the auxiliary processor 123. According to embodiments, the auxiliary processor 123 (e.g., a neural processing unit) can include hardware architectures dedicated to artificial intelligence model processing. Artificial intelligence models can be generated through machine learning. For example, such learning can be performed by electronic device 101 where artificial intelligence is performed or via a separate server (e.g., server 108). The learning algorithm may include, but is not limited to, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The artificial intelligence model may include multiple layers of artificial neural networks. The artificial neural network may be 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), or a deep Q-network, or a combination of two or more thereof, but is not limited thereto. Additionally or optionally, the artificial intelligence model may include software structures in addition to hardware structures.

[0026] Memory 130 may store various data used by at least one component of electronic device 101 (e.g., processor 120 or sensor module 176). The various data may include, for example, software (e.g., program 140) and input or output data for commands associated with it. Memory 130 may include volatile memory 132 or non-volatile memory 134.

[0027] The program 140 can be stored as software in the memory 130, and the program 140 may include, for example, an operating system (OS) 142, middleware 144, or application 146.

[0028] Input module 150 can receive commands or data from outside electronic device 101 (e.g., a user) that will be used by other components of electronic device 101 (e.g., processor 120). Input module 150 may include, for example, a microphone, mouse, keyboard, keys (e.g., buttons), or digital pen (e.g., stylus).

[0029] The audio output module 155 can output audio signals to the outside of the electronic device 101. The audio output module 155 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as playing multimedia or playing records. The receiver can be used to receive incoming calls. According to embodiments, the receiver can be implemented separately from the speaker, or as part of the speaker.

[0030] Display module 160 can visually provide information to the outside of electronic device 101 (e.g., to a user). Display device 160 may include, for example, a display, a holographic device, or a projector, and control circuitry for controlling a respective one of the display, holographic device, and projector. According to an embodiment, display module 160 may include a touch sensor adapted to detect touch or a pressure sensor adapted to measure the intensity of the force caused by touch.

[0031] The audio module 170 can convert sound into electrical signals and vice versa. According to an embodiment, the audio module 170 can obtain sound via the input module 150, or output sound via the sound output module 155 or headphones of an external electronic device (e.g., electronic device 102) that is directly (e.g., wired) or wirelessly connected to the electronic device 101.

[0032] Sensor module 176 can detect the operating state of electronic device 101 (e.g., power or temperature) or the environmental state outside electronic device 101 (e.g., user state), and then generate an electrical signal or data value corresponding to the detected state. According to embodiments, sensor module 176 may include, for example, a gesture sensor, gyroscope sensor, atmospheric pressure sensor, magnetic sensor, accelerometer, grip sensor, proximity sensor, color sensor, infrared (IR) sensor, biometric sensor, temperature sensor, humidity sensor, or illuminance sensor.

[0033] Interface 177 may support one or more specific protocols used to enable electronic device 101 to connect directly (e.g., wired) or wirelessly to external electronic device (e.g., electronic device 102). According to embodiments, interface 177 may include, for example, a High Definition Multimedia Interface (HDMI), a Universal Serial Bus (USB) interface, a Secure Digital Card (SD) interface, or an audio interface.

[0034] Connection end 178 may include a connector, through which electronic device 101 can be physically connected to an external electronic device (e.g., electronic device 102). According to embodiments, connection end 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0035] The haptic module 179 can convert electrical signals into mechanical stimuli (e.g., vibration or motion) or electrical stimuli that can be recognized by a user through his touch or kinesthesia. According to embodiments, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulator.

[0036] Camera module 180 can capture still or moving images. According to an embodiment, camera module 180 may include one or more lenses, an image sensor, an image signal processor, or a flash.

[0037] The power management module 188 manages the power supply to the electronic device 101. According to an embodiment, the power management module 188 may be implemented as at least part of, for example, a power management integrated circuit (PMIC).

[0038] Battery 189 can power at least one component of electronic device 101. According to an embodiment, battery 189 may include, for example, a non-rechargeable primary battery, a rechargeable rechargeable battery, or a fuel cell.

[0039] Communication module 190 can support the establishment of a direct (e.g., wired) or wireless communication channel between electronic device 101 and external electronic devices (e.g., electronic device 102, electronic device 104, or server 108), and perform communication via the established communication channel. Communication module 190 may include one or more communication processors capable of operating independently of processor 120 (e.g., application processor (AP)) and support direct (e.g., wired) or wireless communication. According to embodiments, communication module 190 may include wireless communication module 192 (e.g., cellular communication module, short-range wireless communication module, or Global Navigation Satellite System (GNSS) communication module) or wired communication module 194 (e.g., local area network (LAN) communication module or power line communication (PLC) module). One of these communication modules can communicate with an external electronic device via a first network 198 (e.g., a short-range communication network such as Bluetooth, Wi-Fi Direct, or Infrared Data Association (IrDA)) or a second network 199 (e.g., a long-range communication network such as a traditional cellular network, 5G network, next-generation communication network, the Internet, or a computer network (e.g., a LAN or a wide area network (WAN))). These various types of communication modules can be implemented as a single component (e.g., a single chip) or as multiple components separate from each other (e.g., multiple chips). The wireless communication module 192 can identify and verify the electronic device 101 in the communication network (such as the first network 198 or the second network 199) using user information (e.g., the International Mobile Subscriber Identity (IMSI)) stored in the user identification module 196.

[0040] Wireless communication module 192 can support 5G networks following 4G networks and next-generation communication technologies (such as new radio (NR) access technologies). NR access technologies can support enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), or ultra-reliable low-latency communication (URLLC). Wireless communication module 192 can support high-frequency bands (e.g., millimeter-wave bands) to achieve, for example, high data transmission rates. Wireless communication module 192 can support various technologies used to ensure performance in high-frequency bands, such as, for example, beamforming, massive MIMO, full-dimensional MIMO (FD-MIMO), array antennas, analog beamforming, or massive antennas. Wireless communication module 192 can support various requirements specified in electronic device 101, external electronic device (e.g., electronic device 104), or network system (e.g., second network 199). According to an embodiment, the wireless communication module 192 may support peak data rates (e.g., 20 Gbps or greater) for implementing eMBB, lost coverage (e.g., 164 dB or less) for implementing mMTC, or U-plane latency (e.g., 0.5 ms or less for each of the downlink (DL) and uplink (UL), or 1 ms or less round trip) for implementing URLLC.

[0041] Antenna module 197 can transmit or receive signals or power to or from the outside of electronic device 101 (e.g., external electronic device). According to an embodiment, antenna module 197 may include an antenna comprising a radiating element formed of a conductive material or conductive pattern formed in or on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, antenna module 197 may include multiple antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication scheme used in a communication network (such as a first network 198 or a second network 199) can be selected from the multiple antennas by, for example, communication module 190 (e.g., wireless communication module 192). Signals or power can then be transmitted or received between communication module 190 and external electronic device via the selected at least one antenna. According to an embodiment, additional components besides the radiating element (e.g., a radio frequency integrated circuit (RFIC)) may be additionally incorporated into antenna module 197.

[0042] According to various embodiments, antenna module 197 may form a millimeter-wave antenna module. According to embodiments, the millimeter-wave antenna module may include a printed circuit board, a radio frequency integrated circuit (RFIC), and multiple antennas (e.g., an array antenna), wherein the RFIC is disposed on or adjacent to a first surface (e.g., a bottom surface) of the printed circuit board and is capable of supporting a specified high-frequency band (e.g., a millimeter-wave band), and the multiple antennas are disposed on or adjacent to a second surface (e.g., a top surface or a side surface) of the printed circuit board and are capable of transmitting or receiving signals in the specified high-frequency band.

[0043] At least some of the aforementioned components can be interconnected and communicate signals (e.g., commands or data) between them via inter-peripheral communication schemes (e.g., bus, general purpose input / output (GPIO), serial peripheral interface (SPI), or mobile industrial processor interface (MIPI)).

[0044] According to an embodiment, commands or data can be sent or received between electronic device 101 and external electronic device 104 via server 108 connected to a second network 199. Each of electronic device 102 or electronic device 104 can be a device of the same type as electronic device 101, or a device of a different type. According to an embodiment, all or some operations to be performed on electronic device 101 can be performed on one or more of external electronic devices 102, external electronic devices 104, or server 108. For example, if electronic device 101 is required to automatically perform a function or service, or should perform a function or service in response to a request from a user or another device, electronic device 101 may request the one or more external electronic devices to perform at least a portion of the function or service, instead of running the function or service, or electronic device 101 may request the one or more external electronic devices to perform at least a portion of the function or service in addition to running the function or service. Upon receiving the request, the one or more external electronic devices may perform the requested at least portion of the function or service, or perform additional functions or services related to the request, and transmit the result of the execution to electronic device 101. Electronic device 101 may provide the result as at least a partial response to the request, with or without further processing of the result. For this purpose, technologies such as cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing can be used. Electronic device 101 may use, for example, distributed computing or mobile edge computing to provide ultra-low latency services. In another embodiment, external electronic device 104 may include an Internet of Things (IoT) device. Server 108 may be an intelligent server using machine learning and / or neural networks. According to embodiments, external electronic device 104 or server 108 may be included in a second network 199. Electronic device 101 can be applied to intelligent services (e.g., smart homes, smart cities, smart cars, or healthcare) based on 5G communication technology or IoT-related technologies.

[0045] Figure 2a This is a diagram illustrating a wearable electronic device worn by a stationary user according to an embodiment.

[0046] According to embodiments, the wearable electronic device 201 can be implemented as various types of wearable electronic devices, such as smartwatches, smart bracelets, smart rings, wireless earphones, or smart glasses. According to embodiments, the wearable electronic device 201 can be a device worn on a user's wrist or on another part of the body (e.g., forearm, head, thigh, etc.). According to embodiments, the wearable electronic device 201 can be implemented as various types of electronic devices (e.g., smartphones) capable of performing communication functions but not wearable by a user. According to embodiments, the wearable electronic device 201 can be... Figure 1 The electronic device 101 is implemented in the same or similar manner.

[0047] According to an embodiment, the wearable electronic device 201 can measure a user's biometric information. For example, the wearable electronic device 201 can acquire biometric signals (e.g., PPG signals) for measuring the biometric information of the user 203 by emitting light from a sensor (e.g., a PPG sensor) included in the wearable electronic device 201. For example, the biometric signal can represent a signal corresponding to light emitted from a light-emitting portion of a sensor included in the electronic device 201, reflected by the skin of the user 203, and received or acquired at least partially by a light-receiving portion of the sensor. For example, the biometric signal can include a PPG signal or a PPG measurement signal. The wearable electronic device 201 can analyze the PPG signal to measure various biometric information of the user (e.g., heart rate, pulse, peripheral oxygen saturation (SpO2), or blood pressure).

[0048] According to an embodiment, the wearable electronic device 201 can identify whether a user is stationary. For example, when a user is identified as stationary, the user's movement may be minimal or negligible. According to an embodiment, the wearable electronic device 201 can use sensors included in the wearable electronic device 201 (e.g., motion sensors or accelerometers) to identify the user's movement and identify whether the user is stationary based on the identified movement. For example, when a user is identified as stationary, the wearable electronic device 201 can measure the user's biometric information discontinuously. For example, the wearable electronic device 201 can measure the user's biometric information at specified time intervals. Thus, the wearable electronic device 201 can reduce power consumption caused by the measurement of biometric information.

[0049] However, when a user's biometrics are set to be measured at specified time intervals, traditional wearable electronic devices may be unable to measure the user's biometrics at times other than the designated intervals. Therefore, when a user experiences a heart rate abnormality, traditional wearable electronic devices may not be able to provide the user with an immediate notification.

[0050] When a heart rate abnormality is detected in a state or mode of a wearable electronic device configured to measure the user's heart rate at specified time intervals, the wearable electronic device 201 according to an embodiment of the present disclosure can continuously measure the user's heart rate for a specific period of time. Therefore, the wearable electronic device 201 according to the embodiment can effectively provide the user with a notification indicating a heart rate abnormality.

[0051] Figure 2b This is a schematic block diagram illustrating the configuration of a wearable electronic device according to an embodiment.

[0052] According to an embodiment, wearable electronic device 201 (e.g., Figure 1 Electronic devices 101 or Figure 2a The wearable electronic device 201 may include a processor 220, a memory 230, a display 260, a first sensor 270, a second sensor 280, and a communication circuit 290.

[0053] According to an embodiment, the processor 220 can control the overall operation of the wearable electronic device 201. For example, the processor 220 can be connected to... Figure 1 The processor 120 is implemented in the same or similar way.

[0054] According to an embodiment, processor 220 (e.g., Figure 1 The processor 120 can acquire biological signals for measuring the user's biological information through the first sensor 270.

[0055] According to an embodiment, the first sensor 270 may include a PPG sensor. According to an embodiment, the processor 220 may use the first sensor 270 to output first light to a user's body part (e.g., skin). According to an embodiment, the processor 220 may use the first sensor 270 to acquire a signal (hereinafter, a biosignal) corresponding to the light reflected from the user's body part. For example, the processor 220 may use the first sensor 270 to acquire a PPG signal. According to an embodiment, the processor 220 may acquire or measure bioinformation including the user's heart rate, oxygen saturation, pressure, arrhythmia, and / or blood pressure based on the acquired biosignal (e.g., the PPG signal).

[0056] Depending on the implementation, the first sensor 270 may include multiple electrodes. These electrodes may be used to directly contact the user's skin to sense or detect voltages corresponding to resistance or conductivity. According to embodiments, the processor 220 may use the first sensor 270 to acquire signals including galvanic skin reflex (GSR), electrical activity (EDA), bioelectrical impedance analysis (BIA) signals, and / or electrocardiogram (ECG) signals. According to embodiments, the processor 220 may measure ECGs including ECG and / or body fat based on biosignals. However, the first sensor 270 is not limited to this and may include various types of sensors capable of acquiring or measuring the user's biological information.

[0057] According to an embodiment, the processor 220 may use the first sensor 270 to continuously acquire biological signals at predetermined time intervals or during a specific time period.

[0058] According to an embodiment, processor 220 can use first sensor 270 to measure a user's first heart rate during a first period (e.g., 30 seconds) in a first state of wearable electronic device 201 (e.g., when wearable electronic device 201 is operating in sleep mode), the first state being configured to measure the user's heart rate at specified time intervals (e.g., every 10 minutes). For example, when operating in sleep mode, processor 220 can measure the user's heart rate every 10 minutes. The first heart rate can indicate the user's heart rate measured in the first state (e.g., operating in sleep mode).

[0059] According to an embodiment, the processor 220 can identify whether a first heart rate is outside a specified range. For example, the specified range can be set as a normal heart rate range. For example, the specified range can indicate a heart rate range that is below a first reference value indicating a high heart rate and above a second reference value indicating a low heart rate (e.g., a value less than the first reference value). For example, the first and second reference values ​​can be values ​​preset by the user or by the processor 220. Furthermore, the first and second reference values ​​can be determined based on the user's personal information (e.g., height, weight, gender, and / or body fat percentage).

[0060] According to an embodiment, based on the fact that the first heart rate is outside a specified range, the processor 220 can use the first sensor 270 to measure the user's second heart rate during a second time period after the first time period. At this time, the processor 220 can continuously measure the user's heart rate during the specified second time period (e.g., 10 minutes). For example, the second heart rate can indicate the user's heart rate continuously measured during the second time period. Furthermore, the second heart rate can include multiple heart rate values ​​continuously measured during the second time period.

[0061] According to an embodiment, processor 220 can identify whether the ratio of a heart rate outside a specified range to a second heart rate measured during a second time period exceeds a specified ratio. For example, the specified ratio may indicate the ratio used to determine a user's heart rate abnormality (e.g., 80%). The specified ratio may be set by the user or automatically by processor 220.

[0062] According to an embodiment, when the ratio of a heart rate outside a specified range to a second heart rate measured during a second time period exceeds a specified ratio, the processor 220 can output a notification indicating an abnormal heart rate to the user. For example, the processor 220 can display the notification indicating an abnormal heart rate on a display 260. The processor 220 can also display information about the measured heart rate on the display 260. Depending on the implementation, the processor 220 can output the notification indicating an abnormal heart rate via a speaker (not shown).

[0063] According to an embodiment, processor 220 can store a history of notifications indicating abnormal heart rate in memory 230. Furthermore, processor 220 can store information about measured heart rate in memory 230.

[0064] According to an embodiment, the processor 220 can transmit information about the measured heart rate to an external electronic device (e.g., a terminal communicatively connected to the wearable electronic device 201) via the communication circuit 290. Furthermore, the processor 220 can also send control signals to the external electronic device via the communication circuit 290 to cause the external electronic device to output a notification indicating an abnormal heart rate.

[0065] According to an embodiment, the second sensor 280 can acquire sensing values ​​corresponding to the movement of a user wearing the wearable electronic device 201. The second sensor 280 can be connected with... Figure 1 The sensor module 176 is implemented in the same or similar manner. For example, the second sensor 280 may include at least one of an accelerometer, an inertial sensor, a motion sensor, an IR sensor, a temperature (body temperature) sensor, a gyroscope sensor, a gravity sensor or a geomagnetic sensor, a proximity sensor, an illuminance sensor, a TOF sensor, or a barometer sensor. However, the second sensor 272 is not limited to these and may include various types of sensors capable of identifying the user's movement.

[0066] According to an embodiment, processor 220 can use the second sensor 280 to identify whether the user is stationary. Furthermore, processor 220 can also use the second sensor 280 to identify whether the user is exercising. For example, processor 220 can compare a sensed value indicating the movement of a user wearing the wearable electronic device 201 with a specified value and determine whether the user is exercising based on the comparison result. For example, when the sensed value indicating the user's movement is greater than a first specified value, processor 200 can determine that the user is exercising. Alternatively, when the sensed value indicating the user's movement is less than a second specified value (e.g., less than the first specified value), processor 220 can determine that the user is stationary.

[0067] According to an embodiment, the processor 220 can be located on the display 260 (e.g., Figure 1 The display module 160 displays the user's biometric information (e.g., heart rate) measured using the first sensor 270. Additionally, the processor 220 can display the user's biometric information (e.g., heart rate) on the display module 260. Figure 1 The display module 160) displays a notification indicating an abnormal heart rate. For example, the notification may include at least one of the following: a heart rate value corresponding to the abnormal heart rate, information describing the abnormal heart rate, or information about emergency measures.

[0068] According to an embodiment, the processor 220 can communicate via the communication circuit 290 (e.g., Figure 1 The communication module 190 transmits the user's biological information, measured using the first sensor 270, to an external electronic device (not shown).

[0069] Figure 3 This is a schematic diagram illustrating the structure of the first sensor according to an embodiment.

[0070] refer to Figure 3 According to an embodiment, the first sensor (e.g., Figure 2b The first sensor 270 can be disposed on the rear surface of the wearable electronic device 201 (e.g., the portion that contacts the user's wrist). For example, the first sensor 270 can be implemented as a PPG sensor.

[0071] According to an embodiment, the first sensor 270 may include a plurality of light-emitting elements 271 and 272 and a plurality of light-receiving elements 276, 277 and 278. For example, the plurality of light-emitting elements 271 and 272 may include light-emitting diodes (LEDs). For example, the plurality of light-receiving elements 276, 277 and 278 may include at least one of an avalanche photodiode (APD), a single-photon avalanche diode (SPAD), a photodiode, a photomultiplier tube (PMT), a charge-coupled device (CCD), a CMOS array, or a spectrometer. Although for ease of description, Figure 3The number, shape, size, type, and location of light-emitting elements and light-receiving elements are specified and shown, but the number, shape, size, type, and location of light-emitting elements and light-receiving elements are not limited thereto and can be implemented in various ways.

[0072] According to an embodiment, each of the plurality of light-emitting elements 271 and 272 can output light to a body part of a user wearing the wearable electronic device 201 (e.g., the user's skin in contact with the wearable electronic device 201). For example, the light can include at least one of red, green, blue, or IR light. For example, the electronic device 201 can use light in the green wavelength band to measure heart rate. Because light in the green wavelength band penetrates relatively shallowly into the user's skin, the electronic device 201 can acquire a biosignal with less noise. According to an embodiment, the electronic device 201 can use light in the red wavelength band to measure heart rate. Because light in the red wavelength band penetrates relatively deeply into the user's skin, the electronic device 201 can measure a more accurate heart rate. According to an embodiment, the electronic device 201 can use light in the IR wavelength band to measure heart rate and oxygen saturation (SpO2). Compared to using light in other wavelength bands, the electronic device 201 can use light in the IR wavelength band to measure a wider range of bio-information. According to an embodiment, the electronic device 201 can use light in the IR, red, and green wavelength bands to measure the user's skin color. According to an embodiment, the electronic device 201 can also use light in the blue wavelength band to measure a user's blood glucose. The electronic device 201 can also use light in an appropriate wavelength band to measure biometric information.

[0073] According to an embodiment, a plurality of light receiving elements 276, 277 and 278 may receive at least a portion of light emitted from a plurality of light emitting elements 271 and 272 and reflected or transmitted by the user’s body tissues (e.g., skin, skin tissue, fat layer, veins, arteries and / or capillaries).

[0074] According to an embodiment, although not shown, the wearable electronic device 201 may include an analog-to-digital converter (ADC). According to an embodiment, the wearable electronic device 201 can convert signals output from a plurality of light-receiving elements 276, 277, and 278 from analog signals to digital signals via the ADC. According to an embodiment, the ADC may be separately disposed between the light-receiving section 320 and the processor 220.

[0075] According to an embodiment, processor 220 can acquire the digital signal converted by the ADC as the user's biosignal. Processor 220 can analyze the biosignal to measure or acquire the user's bio-information (e.g., heart rate).

[0076] According to an embodiment, the wearable electronic device 201 may further include multiple electrodes 251, 252, and 253. For example, the first electrode 251 and the second electrode 252 may be disposed on the rear surface of the wearable electronic device 201 (e.g., the portion that contacts the user's wrist). The third electrode 253 may be disposed on the side of the wearable electronic device 201 (e.g., on a button located on the side). The wearable electronic device 201 may use the multiple electrodes 251, 252, and 253 to acquire biosignals (e.g., EDA, BIA signals, and / or ECG signals including GSR) for measuring the user's biometric information (e.g., electrocardiogram, skin conductivity, or body composition). The processor 220 may analyze the biosignals to measure or acquire the user's biometric information (e.g., electrocardiogram, skin conductivity, or body composition).

[0077] The operation of the wearable electronic device 201 described below can be performed or controlled by the processor 220. However, for ease of description, the operations performed or controlled by the processor 220 will be described as being performed by the wearable electronic device 201.

[0078] The operation of the wearable electronic device 201 will primarily focus on measuring the user's heart rate. However, the technical concepts disclosed herein can be applied not only to measuring the user's heart rate but also to measuring various other biometric information of the user.

[0079] Figure 4 This is a flowchart illustrating the operation of a wearable electronic device according to an embodiment.

[0080] refer to Figure 4 According to an embodiment, in operation 401, a wearable electronic device (e.g., Figure 2a The wearable electronic device 201 can use a first sensor (e.g., Figure 2b The first sensor 270 measures the user's first heart rate during a first time period (e.g., 30 seconds), and the first sensor is in a first state set to measure the user's heart rate at specified time intervals (e.g., a state in which it operates in sleep mode). For example, when the specified time is reached, the wearable electronic device 201 can use the first sensor 270 to measure the user's first heart rate during the first time period.

[0081] According to an embodiment, in operation 403, based on the indication that the first heart rate is outside a specified range, the wearable electronic device 201 can use the first sensor 270 to measure the user's second heart rate during a second time period (e.g., 10 minutes) after the first time. For example, when the indication that the first heart rate is outside the specified range, the wearable electronic device 201 can continuously measure the user's second heart rate over a longer period of time. For example, the specified range can indicate a normal heart rate range.

[0082] According to an embodiment, in operation 405, when the ratio of the heart rate identified as being outside a specified range to the second heart rate measured during a second time period exceeds a specified ratio (e.g., 80%), the wearable electronic device 201 can output a notification indicating an abnormal heart rate in the user. For example, the specified ratio can be set as a ratio used to determine the abnormal heart rate. For example, the wearable electronic device 201 can output the notification indicating an abnormal heart rate in the user via auditory, visual, or tactile (e.g., vibration) means.

[0083] According to an embodiment, in operation 407, the wearable electronic device 201 can store information about the measured heart rate and notification history in a memory (e.g., Figure 2b The wearable electronic device 201 can also send information about measured heart rate and notification history to an external electronic device connected to the wearable electronic device via communication (e.g., a Bluetooth-based connection).

[0084] According to the method described above, when a heart rate abnormality is detected in a state or mode of a wearable electronic device configured to measure the user's heart rate at specified time intervals, the wearable electronic device 201 can continuously measure the user's heart rate for a specific period of time. Therefore, the wearable electronic device 201 according to the embodiment can effectively provide the user with a notification indicating a heart rate abnormality.

[0085] Figure 5 This is a flowchart illustrating a method for initiating a second heart rate measurement via a wearable electronic device according to an embodiment.

[0086] refer to Figure 5 According to embodiments, wearable electronic devices (e.g., Figure 2a The wearable electronic device 201 can identify whether the user is at rest in a first state that is set to measure the user's heart rate at specified time intervals. According to an embodiment, in operation 501, the wearable electronic device (e.g., Figure 2a The wearable electronic device 201 can use a second sensor (e.g., Figure 2b The second sensor 280 identifies the user's movement.

[0087] According to an embodiment, in operation 503, the wearable electronic device 201 can identify whether the user is stationary based on the identified user movement. For example, the wearable electronic device 201 can identify that the user is stationary when the sensed value indicating user movement sensed by the second sensor 280 is less than a specified value. Alternatively, the wearable electronic device 201 can identify that the user is stationary when the identification wearable electronic device 201 is operating in sleep mode.

[0088] According to an embodiment, when the user is identified as not stationary (No in operation 503), the wearable electronic device 201 can identify whether the user is stationary again.

[0089] According to an embodiment, when the user is identified as being at rest (Yes in operation 503), in operation 505, the wearable electronic device 201 can identify whether a specified time (e.g., 0, 10, 20, 30, 40, and 50 minutes per hour) has been reached as set for measuring the user's heart rate. The wearable electronic device 201 can use a preset timer to identify whether the specified time for measuring the user's heart rate has been reached.

[0090] According to an embodiment, when the specified time has not yet been reached (No in operation 505), the wearable electronic device 201 can re-identify whether the user is stationary.

[0091] According to an embodiment, when the designated time has been reached (Yes in operation 505), in operation 507, the wearable electronic device 201 can use the first sensor 270 to acquire a first biosignal and measure a first heart rate during a designated first time period (e.g., 30 seconds). For example, the first biosignal may include a PPG signal acquired during the first time period.

[0092] According to an embodiment, in operation 509, the wearable electronic device 201 can identify the signal-to-noise ratio (SNR) of the first biosignal. Furthermore, the wearable electronic device 201 can identify whether the SNR of the first biosignal is greater than a specified value. For example, when the SNR of the first biosignal is identified as greater than the specified value, the wearable electronic device 201 can determine that the first biosignal is a signal of sufficient quality for measuring the user's heart rate. For example, the specified value can indicate a reference value for determining whether the first biosignal is a signal of sufficient quality for measuring the user's heart rate. For example, when the heart rate is measured at 60 bpm, the wearable electronic device 201 can define the region corresponding to 60 bpm + 5 bpm to 60 bpm - 5 bpm as the signal region and the remaining region as the noise region. For example, the value of the signal region / (signal region + noise region) of the first biosignal can be the SNR, and the specified value can be set to 0.2.

[0093] Depending on the implementation, when the peak value of the waveform of the first biosignal is determined to be the same as or similar to a peak value of a specified type, the wearable electronic device 201 can determine that the first biosignal is a signal with sufficient quality to measure the user's heart rate.

[0094] According to an embodiment, when the SNR of the first biosignal is not greater than a specified value (No in operation 509), the wearable electronic device 201 can again identify whether the user is stationary.

[0095] According to an embodiment, when the SNR of the first biosignal is greater than a specified value (Yes in operation 509), in operation 511, the wearable electronic device 201 can identify whether the measured first heart rate is outside a specified range. For example, the specified range may be the normal heart rate range.

[0096] According to an embodiment, when the first heart rate is identified as being outside the specified range (No in operation 511), the wearable electronic device 201 can again identify whether the user is at rest.

[0097] According to an embodiment, when the first heart rate is identified as being outside a specified range (Yes in operation 511), the wearable electronic device 201 can begin measuring a second heart rate in operation 513. For example, when the first heart rate is identified as being outside a specified range, the wearable electronic device 201 can begin continuously identifying or checking the user's heart rate over a longer period of time. Reference will be made below. Figure 6 The operation of measuring the second heart rate by the wearable electronic device 201 is described in more detail.

[0098] Figure 6 This is a flowchart illustrating a method for a wearable electronic device to output notification based on a second heart rate, according to an embodiment.

[0099] refer to Figure 6 According to an embodiment, in operation 601, a wearable electronic device (e.g., Figure 2a Wearable electronic devices 201) can begin to use the first sensor (e.g., Figure 2b The first sensor 270 continuously measures the user's second heart rate during a second time period (e.g., 10 minutes).

[0100] According to an embodiment, in operation 603, the wearable electronic device 201 can identify whether the measurement of the second heart rate is used to identify a low heart rate. For example, when the identified first heart rate is lower than a second reference value indicating a low heart rate (e.g., 50 bpm), the wearable electronic device 201 can perform an operation to check or re-identify a low heart rate. Alternatively, when the identified first heart rate is higher than a first reference value indicating a high heart rate (e.g., 120 bpm), the wearable electronic device 201 can perform an operation to check or re-identify a high heart rate.

[0101] According to an embodiment, when the measurement identifying the second heart rate is not used to identify a low heart rate (No in operation 603), the wearable electronic device 201 can use the second sensor in operation 605 (e.g., Figure 2bThe second sensor 280 identifies the user's movement. For example, when the measurement identifying the second heart rate is not used to identify a low heart rate, the wearable electronic device 201 can determine that the measurement is used to identify a high heart rate. Since the user's heart rate may temporarily increase when the user moves a lot, the wearable electronic device 201 can identify the degree of the user's movement.

[0102] According to an embodiment, in operation 607, the wearable electronic device 201 may identify whether a sensed value indicating the user's movement is greater than a specified value. The specified value may include a value indicating that the user is in an exercise state. For example, the wearable electronic device 201 may identify whether a sensed value indicating the user's movement is greater than a specified value within a specific time period (e.g., a time period from a specific time point before the current time point to a specific time point after the current time point, or a time period spanning a specific time point from the current time point).

[0103] According to an embodiment, when the sensed value indicating user movement exceeds a specified value (Yes in operation 607), the wearable electronic device 201 can stop measuring the second heart rate in operation 617. In this case, the wearable electronic device 201 can determine that it is not necessary to continue checking the second heart rate. Furthermore, the wearable electronic device 201 may not output a notification indicating an abnormal heart rate in the user.

[0104] According to an embodiment, when the sensed value indicating user movement is not greater than a specified value (No in operation 607), the wearable electronic device 201 can identify its wearing status in operation 609. According to an embodiment, when the measurement of the second heart rate is used to identify a low heart rate (Yes in operation 603), the wearable electronic device 201 can identify its wearing status in operation 609. For example, the wearable electronic device 201 can use the first sensor 270 to identify whether it is being worn by a user.

[0105] According to an embodiment, in operation 611, the wearable electronic device 201 can identify whether the wearing state of the wearable electronic device 201 meets a specified condition. For example, the specified condition may be a condition indicating whether a wearing state sufficient for measuring the user's heart rate is maintained during a second time period. For example, the wearable electronic device 201 can identify whether the wearable electronic device 201 remains worn by the user during the second time period for measuring the second heart rate.

[0106] According to an embodiment, when the wearable electronic device 201 is identified as not meeting a specified condition (No in operation 611), the wearable electronic device 201 can stop measuring the second heart rate in operation 617. In this case, the wearable electronic device 201 can determine that it is not necessary to continue checking the second heart rate. Furthermore, the wearable electronic device 201 may not output a notification indicating an abnormal heart rate in the user.

[0107] According to an embodiment, when the wearable electronic device 201 is identified as meeting a specified condition (Yes in operation 611), in operation 613, the wearable electronic device 201 can identify whether the ratio of the heart rate outside the specified range to the second heart rate measured during the second time period exceeds a specified ratio.

[0108] According to an embodiment, when the ratio of the heart rate outside the specified range to the second heart rate measured during the second time period exceeds a specified ratio (Yes in operation 613), in operation 615, the wearable electronic device 201 can output a notification indicating an abnormal heart rate in the user. After outputting the notification, the wearable electronic device 201 can continue to monitor the user's heart rate. For example, after outputting the notification, the wearable electronic device 201 can sequentially perform the operation that started from operation 601 again. That is, after outputting the notification, the wearable electronic device 201 can continuously measure the user's heart rate during a specified time period (e.g., the second time period).

[0109] According to an embodiment, when the ratio of the heart rate identified as outside the specified range to the second heart rate measured during the second time period does not exceed a specified ratio (No in operation 613), the wearable electronic device 201 can stop measuring the second heart rate in operation 617. In this case, the wearable electronic device 201 can determine that it is not necessary to continue checking the second heart rate. Furthermore, the wearable electronic device 201 may not output a notification indicating an abnormal heart rate in the user. For example, after deciding not to output a notification, the wearable electronic device 201 can... Figure 5 Operation 501 then begins to execute the operations sequentially again. That is, after deciding not to output a notification, the wearable electronic device 201 can measure the user's heart rate again at specified time intervals.

[0110] Figure 7 This is a flowchart illustrating the operation of a wearable electronic device outputting a notification according to an embodiment.

[0111] refer to Figure 7 According to an embodiment, in operation 701, a wearable electronic device (e.g., Figure 2a The wearable electronic device 201 can use a first sensor (e.g., Figure 2bThe first sensor 270 measures the user's second heart rate during a second time period (e.g., 10 minutes).

[0112] According to an embodiment, in operation 703, the wearable electronic device 201 can identify whether the measurement of the second heart rate is used to identify a low heart rate. For example, when the identified first heart rate is lower than a second reference value indicating a low heart rate (e.g., 50 bpm), the wearable electronic device 201 can perform an operation to check or re-identify a low heart rate. Alternatively, when the identified first heart rate is higher than a first reference value indicating a high heart rate (e.g., 120 bpm), the wearable electronic device 201 can perform an operation to check or re-identify a high heart rate.

[0113] According to an embodiment, when the measurement identifying the second heart rate is not used to identify a low heart rate (i.e., to identify a high heart rate) (No in operation 703), in operation 705, when the ratio of the heart rate above the first reference value to the second heart rate exceeds a specified ratio, the wearable electronic device 201 can provide information indicating the user's high heart rate through a notification.

[0114] According to an embodiment, when the measurement identifying the second heart rate is used to identify a low heart rate (Yes in operation 703), in operation 707, when the ratio of the heart rate below the second reference value to the second heart rate exceeds a specified ratio, the wearable electronic device 201 can provide information indicating the user's low heart rate through a notification.

[0115] Figure 8 This is a flowchart illustrating, according to an embodiment, the operation of stopping the measurement of a second heart rate by a wearable electronic device when a command is identified to perform another function.

[0116] refer to Figure 8 According to an embodiment, in operation 801, a wearable electronic device (e.g., Figure 2a The wearable electronic device 201 can use a first sensor (e.g., Figure 2b The first sensor 270 measures the second heart rate during the second time period.

[0117] According to an embodiment, during operation 803, while measuring the second heart rate, the wearable electronic device 201 can identify whether another function of the wearable electronic device 201 has been commanded to be executed. For example, the other function may include functions related to the exercise mode of the wearable electronic device 201. Alternatively, the other function may include the ability to measure biometric information other than heart rate using the first sensor 270 of the wearable electronic device 201.

[0118] According to one embodiment, when the identifier has not yet commanded the execution of other functions (No in operation 803), in operation 805, the wearable electronic device 201 can continue measuring the second heart rate during the second time period. According to another embodiment, when the identifier indicates a command for executing a function of the wearable electronic device unrelated to measuring the second heart rate, the wearable electronic device 201 can continue measuring the second heart rate during the second time period.

[0119] According to an embodiment, when the identifier has already commanded the execution of another function (Yes in operation 803), the wearable electronic device 201 can stop the measurement of the second heart rate in operation 807. For example, the wearable electronic device 201 can output a notification indicating the cessation of the second heart rate measurement (e.g., via visual, auditory, and / or tactile means). For example, when a user begins exercising, the user's heart rate increases due to exercise, therefore, the wearable electronic device 201 may not be able to accurately measure the user's heart rate. Furthermore, when using the first sensor 270 to measure other biometric information of the user, the wearable electronic device 201 may not be able to accurately measure the user's heart rate. Therefore, when another function of the wearable electronic device 201 is executed, the wearable electronic device 201 can determine that it is not necessary to continue checking the second heart rate.

[0120] According to another embodiment, if another function of the wearable electronic device 201 is already running during the step of starting the second heart rate measurement, the wearable electronic device 201 may not start the second heart rate measurement.

[0121] According to another embodiment, while a function of the wearable electronic device that is not related to measuring the second heart rate is running, the wearable electronic device 201 can continue to measure the second heart rate during the second time period.

[0122] According to the method described above, when a heart rate abnormality is detected in a state or mode of a wearable electronic device that is set to measure the user's heart rate at specified time intervals, the wearable electronic device 201 can continuously measure the user's heart rate over a specific time period. Therefore, the wearable electronic device 201 according to the embodiment can effectively provide the user with a notification indicating a heart rate abnormality.

[0123] Figure 9 This is a diagram illustrating a notification provided by a wearable electronic device according to an embodiment.

[0124] refer to Figure 9 According to embodiments, wearable electronic devices (e.g., Figure 2a Wearable electronic devices 201 can display the results of measuring a second heart rate on a screen (e.g., Figure 2bThe wearable electronic device 201 displays a notification 910 indicating an abnormal heart rate in the user on the display 260. For example, the notification 910 may include information about the heart rate value corresponding to the abnormal heart rate (e.g., 125 bmp) and / or information about the heart rate value measured during a second time period. For example, the wearable electronic device 201 may use graphs and / or dots to display the heart rate value measured during the second time period as graphical information. Depending on the implementation, the notification 910 may also include guidance (e.g., health-related information) that may help with the abnormal heart rate.

[0125] Figure 10 This is a diagram illustrating information about a user's heart rate provided by a wearable electronic device according to an embodiment.

[0126] refer to Figure 10 According to embodiments, wearable electronic devices (e.g., Figure 2a The wearable electronic device 201 can store information indicating the results of measuring a second heart rate. Furthermore, the wearable electronic device 201 can store notification output details.

[0127] According to an embodiment, the wearable electronic device can be displayed on a display (e.g., Figure 2b The display 260 shows information 1010 indicating the result of measuring the second heart rate. For example, the information 1010 indicating the result of measuring the second heart rate may include information about the heart rate values ​​measured during the second time period (e.g., numerical values ​​of the measured heart rate range or heart rate values ​​represented graphically using a graph). For example, the information 1010 indicating the result of measuring the second heart rate may indicate a trend in heart rate changes over time. Furthermore, the information 1010 indicating the result of measuring the second heart rate may display a history of notifications indicating heart rate abnormalities via individual objects (e.g., dots).

[0128] Figure 11 This is a diagram illustrating a notification provided by an external electronic device communicatively connected to a wearable electronic device according to an embodiment.

[0129] refer to Figure 11 According to embodiments, wearable electronic devices (e.g., Figure 2a The wearable electronic device 201 can send information about notifications indicating abnormal heart rate in the user to an external electronic device 1101.

[0130] According to an embodiment, the external electronic device 1101 may display a notification 1120 indicating a heart rate abnormality on its display 1110. For example, the notification 1120 may include information about the heart rate value corresponding to the heart rate abnormality (e.g., 120 bpm) and / or information about the heart rate value measured during a second time period. For example, the wearable electronic device 201 may use graphs and / or dots to display the heart rate value measured during the second time period as graphical information. Furthermore, the notification 1120 may also include guidance (e.g., health-related information) helpful for addressing the heart rate abnormality.

[0131] Figure 12 This is a diagram illustrating information about a user's heart rate provided by an external electronic device communicatively connected to a wearable electronic device, according to an embodiment.

[0132] refer to Figure 12 According to embodiments, wearable electronic devices (e.g., Figure 2a The wearable electronic device 201 can send information about the results of measuring the user's heart rate to an external electronic device 1201.

[0133] According to an embodiment, the external electronic device 1201 can display information 1210 about measured heart rate values ​​based on a time period. For example, it can also display information 1220 about heart rate values ​​(e.g., a second heart rate value) continuously measured during a specified time period starting from a specific time.

[0134] According to an embodiment, when user input identifies a specific time, the external electronic device 1201 can display detailed information 1230 about heart rate values ​​continuously measured during the specific time period. For example, the detailed information 1230 may include a graph showing the trend of heart rate values ​​measured during the specified time period.

[0135] According to the method described above, when a heart rate abnormality is detected in a state or mode of a wearable electronic device configured to measure the user's heart rate at specified time intervals, the wearable electronic device 201 can continuously measure the user's heart rate for a specific period of time. Therefore, the wearable electronic device 201 according to the embodiment can effectively provide the user with a notification indicating a heart rate abnormality.

[0136] According to an embodiment, the wearable electronic device 201 may include a first sensor 270, a second sensor 280, at least one processor 220, and a memory 230 storing instructions. According to an embodiment, the instructions may be configured, when executed by at least one processor, to cause the wearable electronic device, in a first state configured to measure the user's first heart rate using the first sensor during a first time period. According to an embodiment, the instructions may be configured, when executed by at least one processor, to cause the wearable electronic device, in the first state, to measure the user's second heart rate using the first sensor during a second time period after the first time period, based on an indication that the first heart rate is outside a specified range. According to an embodiment, the instructions may be configured, when executed by at least one processor, to cause the wearable electronic device, in the first state, to output a notification indicating an abnormal heart rate in the user, based on an indication that the ratio of heart rates outside a specified range among the second heart rates measured during the second time period exceeds a specified ratio.

[0137] According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause a wearable electronic device in a first state to determine whether a user is stationary based on movement of the user identified by a second sensor. According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause the wearable electronic device to measure a first heart rate based on the identification that the user is stationary.

[0138] According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause a wearable electronic device to identify whether the signal-to-noise ratio (SNR) of a first biosignal acquired using a first sensor for measuring a first heart rate is greater than a specified value. According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause the wearable electronic device to determine whether the first heart rate is outside a specified range based on the SNR of the identified first biosignal not being greater than a specified value.

[0139] According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause the wearable electronic device to identify its wearing state based on the identification of a first heart rate outside a specified range. According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause the wearable electronic device to stop measuring a second heart rate when the identified wearing state does not meet specified conditions.

[0140] According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause a wearable electronic device to identify a user's movement via a second sensor based on a first reference value associated with a high heart rate. According to an embodiment, the instructions can be configured, when executed by at least one processor, to cause the wearable electronic device to stop measuring a second heart rate when the sensed value indicating the user's movement is greater than a specified value.

[0141] According to an embodiment, the instructions can be configured to, when executed by at least one processor, cause a wearable electronic device to provide information indicating a high heart rate to the user via notification when the ratio of a heart rate higher than a first reference value associated with a high heart rate in a second heart rate measured during a second time period is identified as exceeding a specified ratio.

[0142] According to an embodiment, the instructions can be configured to, when executed by at least one processor, cause a wearable electronic device to provide information indicating a low heart rate to the user via notification when the ratio of heart rates below a second reference value associated with low heart rate in a second heart rate measured during a second time period is identified as exceeding a specified ratio.

[0143] According to an embodiment, the instructions can be configured to, when executed by at least one processor, cause a wearable electronic device to stop measuring a second heart rate while performing a function related to an exercise mode, simultaneously measuring the second heart rate.

[0144] According to an embodiment, the instructions can be configured to, when executed by at least one processor, cause the wearable electronic device to stop measuring the second heart rate when a command is received that identifies a user's biometric information that differs from the heart rate via a first sensor while simultaneously measuring the second heart rate.

[0145] According to an embodiment, the instructions can be configured to, when executed by at least one processor, cause a wearable electronic device to continuously monitor a user's heart rate using a first sensor after an output notification.

[0146] According to an embodiment, a method for operating a wearable electronic device 201 may include: in a first state where the wearable electronic device is configured to measure a user's heart rate at specified time intervals, measuring the user's first heart rate using a first sensor 270 included in the wearable electronic device during a first time period. According to an embodiment, a method for operating the wearable electronic device may include: based on an identifier that the first heart rate is outside a specified range, measuring the user's second heart rate using the first sensor during a second time period after the first time period. According to an embodiment, a method for operating the wearable electronic device may include: based on an identifier that the ratio of heart rates outside a specified range in the second heart rate measured during the second time period exceeds a specified ratio, outputting a notification indicating an abnormal heart rate in the user.

[0147] According to an embodiment, measuring the first heart rate may include: in a first state, determining whether the user is stationary based on movement of the user identified by a second sensor 280 included in the wearable electronic device. According to an embodiment, measuring the first heart rate may include measuring the first heart rate based on identifying that the user is stationary.

[0148] According to an embodiment, identifying that the first heart rate is outside a specified range may include: identifying whether the signal-to-noise ratio (SNR) of the first biosignal acquired using the first sensor for measuring the first heart rate is greater than a specified value. According to an embodiment, identifying that the first heart rate is outside a specified range may include: determining whether the first heart rate is outside a specified range based on identifying that the SNR of the first biosignal is not greater than a specified value.

[0149] According to an embodiment, the method for operating a wearable electronic device may further include: identifying the wearing state of the wearable electronic device based on the indication that a first heart rate is outside a specified range. According to an embodiment, the method for operating a wearable electronic device may further include: stopping the measurement of a second heart rate when the identified wearing state does not meet specified conditions.

[0150] According to an embodiment, the method for operating a wearable electronic device may further include: identifying a user's movement via a second sensor based on the indication that a first heart rate exceeds a first reference value associated with a high heart rate. According to an embodiment, the method for operating a wearable electronic device may further include: stopping the measurement of a second heart rate when a sensed value indicating the user's movement exceeds a specified value.

[0151] According to an embodiment, outputting a notification indicating an abnormal heart rate may include: providing information indicating a high heart rate to the user via a notification when the ratio of a second heart rate measured during a second time period that is higher than a first reference value associated with a high heart rate is identified as exceeding a specified ratio.

[0152] According to an embodiment, outputting a notification indicating an abnormal heart rate may include: providing information indicating a low heart rate to the user via a notification when the ratio of a second heart rate measured during a second time period that is lower than a second reference value associated with a low heart rate is identified as exceeding a specified ratio.

[0153] According to an embodiment, the method for operating a wearable electronic device may further include: stopping the measurement of the second heart rate while performing a function related to an exercise mode while measuring the second heart rate.

[0154] According to an embodiment, the method for operating a wearable electronic device may further include: continuously monitoring the user's heart rate using a first sensor after outputting a notification.

[0155] According to an embodiment, the non-transitory recording medium 130 or 230 may store instructions to perform the following operations: in a first state where the wearable electronic device 201 is configured to measure the user's heart rate at specified time intervals, measuring the user's first heart rate using a first sensor 270 included in the wearable electronic device during a first time period; measuring the user's second heart rate using the first sensor during a second time period after the first time period based on an indication that the first heart rate is outside a specified range; and outputting a notification indicating an abnormal heart rate in the user based on an indication that the ratio of heart rates outside the specified range in the second heart rate measured during the second time period exceeds a specified ratio.

[0156] The electronic device according to various embodiments can be one of a variety of types of electronic devices. 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. According to embodiments of this disclosure, the electronic device is not limited to those described above.

[0157] It should be understood that the various embodiments of this disclosure and the terminology used therein are not intended to limit the technical features set forth herein to the specific embodiments, but rather to include various changes, equivalents, or substitutions to the respective embodiments. In the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It will be understood that nouns in the singular form corresponding to terms may include one or more things unless the relevant context clearly indicates otherwise. As used herein, each of the 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” may include any one or all possible combinations of the items enumerated together with the corresponding phrase among the plurality of phrases. As used herein, terms such as “first” and “second” or “first” and “second” may be used to simply distinguish the respective component from another component and do not limit the component in other respects (e.g., importance or order). It will be understood that, whether the terms “operably” or “communically” are used or not, if an element (e.g., a first element) is referred to as “combined with another element (e.g., a second element),” “combined to another element (e.g., a second element),” “connected to another element (e.g., a second element),” or “connected to another element (e.g., a second element)”, it means that the element can be directly (e.g., wiredly) connected to the other element, wirelessly connected to the other element, or connected to the other element via a third element.

[0158] As used in connection with various embodiments of this disclosure, the term "module" may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with other terms such as "logic," "logic block," "part," or "circuit." A module may be a single integrated component adapted to perform one or more functions, or the smallest unit or part of such a single integrated component. For example, according to embodiments, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0159] The various embodiments set forth herein can be implemented as software (e.g., program #40) containing one or more instructions readable by a machine (e.g., electronic device #01) stored in a storage medium (e.g., internal memory #36 or external memory #38). For example, under the control of a processor, the processor (e.g., processor #20) of the machine (e.g., electronic device #01) can invoke and execute at least one of the one or more instructions stored in the storage medium, with or without the use of one or more other components. This enables the machine to operate to perform at least one function according to the invoked at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. Machine-readable storage media can be provided in the form of non-transitory storage media. The term "non-transitory" simply means that the storage medium is a tangible device and does not include signals (e.g., electromagnetic waves), but this term does not distinguish between data being stored semi-permanently in the storage medium and data being temporarily stored in the storage medium.

[0160] According to embodiments, methods according to various embodiments of this disclosure may be included and provided 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., a compact disk read-only memory (CD-ROM)), or may be distributed online (e.g., downloaded or uploaded) via an app store (e.g., the Play Store™), or may be distributed directly between two user devices (e.g., smartphones) (e.g., downloaded or uploaded). If distributed online, at least a portion of the computer program product may be temporarily generated, or at least a portion of the computer program product may be stored at least temporarily in a machine-readable storage medium (such as the memory of a manufacturer's server, an app store's server, or a forwarding server).

[0161] According to various embodiments, each of the above-described components (e.g., a module or program) may include a single entity or multiple entities, and some of the multiple entities may be separately disposed in different components. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Optionally or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In this case, according to various embodiments, the integrated component may still perform the one or more functions of each of the multiple components in the same or similar manner as the corresponding component of the multiple components performed one or more functions before integration. According to various embodiments, the operations performed by a module, program, or other component may be performed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be run in a different order or omitted, or one or more other operations may be added.

Claims

1. A wearable electronic device (201), comprising: First sensor (270); Second sensor (280); At least one processor (220); and A memory (230) storing instructions configured to cause the wearable electronic device, when executed by the at least one processor, to: In a first state where a wearable electronic device is set to measure a user's heart rate at specified time intervals, a first sensor measures the user's first heart rate during a first time period. Based on the fact that the first heart rate is outside a specified range, the user's second heart rate is measured using the first sensor during a second time period following the first time point, and Based on the fact that the percentage of heart rates outside the specified range in the second heart rate measured during the second time period exceeds a specified percentage, a notification indicating an abnormal heart rate is output to the user.

2. The wearable electronic device according to claim 1, wherein, The instructions are configured to cause the wearable electronic device to: when executed by the at least one processor: In the first state, it is determined whether the user is stationary based on the user's movement identified by the second sensor, and The first heart rate is measured based on the user being at rest.

3. The wearable electronic device according to claim 1 or 2, wherein, The instructions are configured to cause the wearable electronic device to: when executed by the at least one processor: The signal-to-noise ratio (SNR) of the first biological signal acquired using the first sensor to measure the first heart rate is identified as being greater than a specified value, and Based on the fact that the SNR of the first biological signal is not greater than a specified value, it is determined whether the first heart rate is outside the specified range.

4. The wearable electronic device according to any one of claims 1 to 3, wherein, The instructions are configured to cause the wearable electronic device to: when executed by the at least one processor: Based on the first heart rate being outside a specified range, the wear status of the wearable electronic device is identified, and Stop measuring the second heart rate when the wearer's status does not meet the specified conditions.

5. The wearable electronic device according to any one of claims 1 to 4, wherein, The instructions are configured to cause the wearable electronic device to: when executed by the at least one processor: Based on the indication that the first heart rate exceeds a first reference value associated with high heart rate, the second sensor identifies the user's movement, and The second heart rate measurement stops when the sensor value indicating the user's movement exceeds a specified value.

6. The wearable electronic device according to any one of claims 1 to 5, wherein, The instruction is configured to, when executed by the at least one processor, cause the wearable electronic device to provide information indicating a high heart rate to the user via notification when the ratio of a heart rate higher than a first reference value associated with a high heart rate in a second heart rate measured during a second time period is identified as exceeding a specified ratio.

7. The wearable electronic device according to any one of claims 1 to 6, wherein, The instruction is configured to, when executed by the at least one processor, cause the wearable electronic device to provide information indicating a low heart rate to the user via notification when the ratio of heart rates below a second reference value associated with low heart rate in a second heart rate measured during a second time period is identified as exceeding a specified ratio.

8. The wearable electronic device according to any one of claims 1 to 7, wherein, The instruction is configured, when executed by the at least one processor, to cause the wearable electronic device to stop measuring the second heart rate while performing a function related to the exercise mode, simultaneously measuring the second heart rate.

9. The wearable electronic device according to any one of claims 1 to 8, wherein, The instruction is configured to, when executed by the at least one processor, cause the wearable electronic device to stop measuring the second heart rate when a command is received to identify, via the first sensor, a user's biometric information that differs from the heart rate while simultaneously measuring the second heart rate.

10. The wearable electronic device according to any one of claims 1 to 9, wherein, The instructions are configured, when executed by the at least one processor, to cause the wearable electronic device to continuously monitor the user's heart rate using a first sensor after outputting a notification.

11. A method for operating a wearable electronic device (201), comprising: In a first state in which the wearable electronic device is set to measure the user's heart rate at specified time intervals, the user's first heart rate is measured during a first time period using a first sensor (270) included in the wearable electronic device; Based on the fact that the first heart rate is outside the specified range, the user's second heart rate is measured using the first sensor during a second time period after the first time. as well as Based on the fact that the percentage of heart rates outside the specified range in the second heart rate measured during the second time period exceeds a specified percentage, a notification indicating an abnormal heart rate is output to the user.

12. The method according to claim 11, wherein, Measuring the first heart rate includes: In the first state, it is determined whether the user is stationary based on the user's movement identified by the second sensor (280) included in the wearable electronic device; and The first heart rate is measured based on the user being at rest.

13. The method according to claim 11 or 12, wherein, Indicating a first heart rate outside the specified range includes: The signal-to-noise ratio (SNR) of the first biological signal acquired using the first sensor for measuring the first heart rate is greater than a specified value; and Based on the fact that the SNR of the first biological signal is not greater than a specified value, it is determined whether the first heart rate is outside the specified range.

14. The method according to any one of claims 11 to 13, further comprising: The wear status of the wearable electronic device is identified based on the first heart rate being outside the specified range; as well as When the wearer's status does not meet the specified conditions, stop measuring the second heart rate.

15. The method according to any one of claims 11 to 14, further comprising: The user's movement is detected by a second sensor based on the first heart rate exceeding a first reference value associated with high heart rate; as well as The second heart rate measurement stops when the sensor value indicating the user's movement exceeds a specified value.

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