Method for measuring blood pressure and electronic device supporting same

Abstract

An electronic device according to one embodiment may comprise a communication module and at least one processor. The at least one processor may be configured to receive a first PPG signal obtained by a first wearable device from the first wearable device and receive a second PPG signal from a second wearable device through a communication circuit. The first wearable device may be worn at a first location on a user and the second wearable device may be worn at a second location on the user. The at least one processor may be configured to obtain a pulse transit time (PTT) for which pulse waves are transmitted from the first location to the second location, on the basis of the first PPG signal and the second PPG signal. . The at least one processor may be configured to obtain the distance between the first wearable device and the second wearable device. The at least one processor may be configured to obtain a pulse wave velocity (PWV) at which pulse waves are transmitted, on the basis of the distance and the PTT. The at least one processor may be configured to obtain a first blood pressure by using a pulse wave analysis (PWA) method on the basis of the first PPG signal and / or the second PPG signal. The at least one processor may be configured to obtain a blood vessel characteristic value related to the characteristics of blood vessels, on the basis of the PWV and the first blood pressure. The at least one processor may be configured to obtain a blood pressure correction value for correction of a second blood pressure that is to be obtained, on the basis of the blood vessel characteristic value.

Description

Methods for measuring blood pressure and supporting electronic devices

[0001] The present disclosure relates to a method for measuring blood pressure and an electronic device supporting the same.

[0002] Electronic devices are evolving into various forms for the convenience of users and are becoming smaller so that users can conveniently carry them.

[0003] Recently, with the growing interest in health, electronic devices are measuring biosignals related to the human body and providing bioinformation based on the measured biosignals. For example, electronic devices (e.g., wearable devices) can acquire photoplethysmogram (PPG) signals through optical sensors (e.g., PPG sensors) for acquiring biosignals, and measure blood pressure based on the acquired PPG signals.

[0004] The above information is provided solely as background information to aid in understanding the present disclosure. No determination or assertion is made as to whether any of the above is applicable as prior art in connection with the present disclosure.

[0005] An electronic device (e.g., a wearable device) can calculate a final blood pressure by correcting blood pressure (e.g., a blood pressure value) measured based on a PPG signal using blood pressure measured using a blood pressure monitor. For example, the electronic device can measure blood pressure (hereinafter, referred to as “blood pressure measured based on a PPG signal”) using a PWA (pulse wave analysis) method based on a PPG signal acquired through a PPG sensor. However, the user’s blood vessel condition may change over time. Accordingly, the electronic device can periodically calculate a correction value (hereinafter, referred to as a “correction value”) for correcting the blood pressure measured based on the PPG signal using a blood pressure monitor (e.g., a blood pressure monitor using a cuff) (hereinafter, referred to as a “reference blood pressure”). After the correction value is calculated, the electronic device can calculate a final blood pressure (e.g., blood pressure to be provided to the user) by using the correction value to correct the blood pressure measured based on the PPG signal (e.g., by adding the correction value to the blood pressure measured based on the PPG signal).

[0006] However, periodically measuring baseline blood pressure using a blood pressure monitor and calculating the correction value using the measured baseline blood pressure can be inconvenient for users. Furthermore, more accurate blood pressure measurements may be necessary.

[0007] Aspects of the present disclosure address at least the problems and / or drawbacks mentioned above and provide at least the advantages described below. Accordingly, aspects of the present disclosure provide a method for measuring blood pressure and an electronic device supporting the method, which performs blood pressure measurement in conjunction with multiple wearable devices, thereby providing more accurate blood pressure readings without the need for periodic calculation of correction values.

[0008] Additional aspects will be partly set forth in the following description, partly will be apparent from the description, or may be learned by practice of the disclosed embodiments.

[0009] An electronic device according to one embodiment may include a communication circuit and at least one processor. The at least one processor may be configured to receive, through the communication circuit, a first PPG signal acquired by the first wearable device from a first wearable device and a second PPG signal from a second wearable device. The first wearable device may be worn at a first location of the user and the second wearable device may be worn at a second location of the user. The at least one processor may be configured to obtain a pulse transit time (PTT) for a pulse wave to be transmitted from the first location to the second location based on the first PPG signal and the second PPG signal. The at least one processor may be configured to obtain a distance between the first wearable device and the second wearable device. The at least one processor may be configured to obtain a pulse wave velocity (PWV) at which the pulse wave is transmitted based on the distance and the PTT. The at least one processor may be configured to obtain a first blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal. The at least one processor may be configured to obtain a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure. The at least one processor may be configured to obtain a blood pressure correction value for correcting a second blood pressure to be obtained based on the blood vessel characteristic value.

[0010] A method for providing blood pressure in an electronic device according to one embodiment may include receiving a first PPG signal acquired by a first wearable device from a first wearable device and receiving a second PPG signal from a second wearable device through a communication circuit of the electronic device. The first wearable device may be worn at a first location of the user and the second wearable device may be worn at a second location of the user. The method may include obtaining a pulse transit time (PTT) for transmitting a pulse wave from the first location to the second location based on the first PPG signal and the second PPG signal. The method may include obtaining a distance between the first wearable device and the second wearable device. The method may include obtaining a pulse wave velocity (PWV) for transmitting the pulse wave based on the distance and the PTT. The method may include an operation of obtaining a first blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal. The method may include an operation of obtaining a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure. The method may include an operation of obtaining a blood pressure correction value for correcting the second blood pressure to be obtained based on the blood vessel characteristic value.

[0011] In one embodiment, a non-transitory computer-readable medium having recorded thereon computer-executable instructions, wherein the computer-executable instructions, when executed by at least one processor of an electronic device, cause the electronic device to receive, through a communication circuit of the electronic device, a first PPG signal acquired by the first wearable device from a first wearable device and to receive a second PPG signal from a second wearable device. The first wearable device may be worn at a first location of the user and the second wearable device may be worn at a second location of the user. The computer-executable instructions, when executed by the at least one processor of the electronic device, cause the electronic device to obtain a pulse transit time (PTT) for a pulse wave to be transmitted from the first location to the second location based on the first PPG signal and the second PPG signal. The computer-executable instructions, when executed by at least one processor of the electronic device, may cause the electronic device to obtain a distance between the first wearable device and the second wearable device. The computer-executable instructions, when executed by at least one processor of the electronic device, may cause the electronic device to obtain a pulse wave velocity (PWV) at which the pulse wave is transmitted based on the distance and the PTT. The computer-executable instructions, when executed by at least one processor of the electronic device, may cause the electronic device to obtain a first blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal.The computer-executable instructions, when executed by at least one processor of the electronic device, may cause the electronic device to obtain a blood vessel characteristic value related to a characteristic of the blood vessel based on the PWV and the first blood pressure. The computer-executable instructions, when executed by at least one processor of the electronic device, may cause the electronic device to obtain a blood pressure correction value for correcting a second blood pressure to be obtained based on the blood vessel characteristic value.

[0012] Other aspects, advantages, and salient features of the present disclosure will become apparent to those skilled in the art from the following detailed description of various embodiments of the present disclosure taken in conjunction with the accompanying drawings.

[0013] The above and other aspects, features, and advantages of specific embodiments of the present disclosure will become more apparent from the following description taken in conjunction with the accompanying drawings.

[0014] FIG. 1 is a block diagram of an electronic device within a network environment according to one embodiment of the present disclosure.

[0015] FIG. 2A is a front perspective view of a first wearable device according to one embodiment of the present disclosure.

[0016] FIG. 2b is a rear perspective view of a first wearable device according to one embodiment of the present disclosure.

[0017] FIG. 3A is a perspective view of a second wearable device according to one embodiment of the present disclosure.

[0018] FIG. 3b is a cross-sectional view of a second wearable device according to one embodiment of the present disclosure.

[0019] FIG. 4 is a block diagram of an electronic device according to one embodiment of the present disclosure.

[0020] FIG. 5 is a block diagram of a first wearable device according to one embodiment of the present disclosure.

[0021] FIG. 6 is a block diagram of a second wearable device according to one embodiment of the present disclosure.

[0022] FIG. 7 is a flowchart illustrating a method for measuring blood pressure according to one embodiment of the present disclosure.

[0023] FIG. 8 is a diagram illustrating a method for synchronizing a first wearable device and a second wearable device according to one embodiment of the present disclosure.

[0024] FIG. 9 is a diagram for explaining a method of obtaining PTT based on a first PPG signal and a second PPG signal according to one embodiment of the present disclosure.

[0025] FIG. 10 is a diagram illustrating a method for obtaining a distance between a first wearable device and a second wearable device according to one embodiment of the present disclosure.

[0026] FIG. 11 is a diagram for explaining a method for obtaining blood vessel characteristic values ​​using a PWV blood pressure model and a PWA blood pressure model according to one embodiment of the present disclosure.

[0027] FIG. 12 is a diagram illustrating a method for obtaining a blood pressure correction value based on a blood vessel characteristic value according to one embodiment of the present disclosure.

[0028] FIG. 13 is a flowchart illustrating a method for obtaining a correlation between a vascular characteristic value and a blood pressure correction value according to one embodiment of the present disclosure.

[0029] It should be noted that throughout the drawings, the same reference numbers are used to describe identical or similar elements, features, and structures.

[0030] The following description, with reference to the attached drawings, is provided to facilitate a comprehensive understanding of various embodiments of the present disclosure as defined by the claims and their equivalents. While it includes numerous specific details to aid understanding, these are merely exemplary. Accordingly, those skilled in the art will recognize that various changes and modifications can be made to the various embodiments described herein without departing from the scope and spirit of the present disclosure. Furthermore, descriptions of well-known functions and configurations may be omitted for clarity and brevity.

[0031] The terms and words used in the following description and claims are not limited to their literary meanings, but are merely used by the inventors to facilitate a clear and consistent understanding of the present disclosure. Therefore, it will be apparent to those skilled in the art that the following description of various embodiments of the present disclosure is provided solely for illustrative purposes, and is not intended to limit the present invention as defined by the appended claims and their equivalents.

[0032] The singular forms "a," "an," and "the" should be understood to include plural referents unless the context clearly dictates otherwise. Thus, for example, reference to "a component surface" includes reference to one or more such surfaces.

[0033] FIG. 1 is a block diagram of an electronic device (101) within a network environment (100) according to one embodiment of the present disclosure.

[0034] Referring to FIG. 1, in a network environment (100), an electronic device (101) may communicate with an electronic device (102) via a first network (198) (e.g., a short-range wireless communication network), or may communicate with at least one of an electronic device (104) or a server (108) via a second network (199) (e.g., a long-range wireless communication network). According to one embodiment, the electronic device (101) may communicate with the electronic device (104) via the server (108). According to one embodiment, the electronic device (101) may include a processor (120), a memory (130), an input module (150), an audio output module (155), a display module (160), an audio module (170), a sensor module (176), an interface (177), a connection terminal (178), a haptic module (179), a camera module (180), a power management module (188), a battery (189), a communication module (190), a subscriber identification module (196), or an antenna module (197). In some embodiments, the electronic device (101) may omit at least one of these components (e.g., the connection terminal (178)), or may have one or more other components added. In some embodiments, some of these components (e.g., the sensor module (176), the camera module (180), or the antenna module (197)) may be integrated into one component (e.g., the display module (160)).

[0035] The processor (120) may, for example, execute software (e.g., a program (140)) to control at least one other component (e.g., a hardware or software component) of the electronic device (101) connected to the processor (120) and perform various data processing or calculations. According to one embodiment, as at least a part of the data processing or calculations, the processor (120) may store commands or data received from other components (e.g., a sensor module (176) or a communication module (190)) in a volatile memory (132), process the commands or data stored in the volatile memory (132), and store result data in a non-volatile memory (134). According to one embodiment, the processor (120) may include a main processor (121) (e.g., a central processing unit or an application processor) or a secondary processor (123) (e.g., a graphics processing unit, a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor)) that can operate independently or together therewith. For example, if the electronic device (101) includes a main processor (121) and a secondary processor (123), the secondary processor (123) may be configured to use less power than the main processor (121) or to be specialized for a specified function. The secondary processor (123) may be implemented separately from the main processor (121) or as a part thereof.

[0036] The auxiliary processor (123) may control at least a portion of functions or states associated with at least one component (e.g., a display module (160), a sensor module (176), or a communication module (190)) of the electronic device (101), for example, on behalf of the main processor (121) while the main processor (121) is in an inactive (e.g., sleep) state, or together with the main processor (121) while the main processor (121) is in an active (e.g., application execution) state. In one embodiment, the auxiliary processor (123) (e.g., an image signal processor or a communication processor) may be implemented as a part of another functionally related component (e.g., a camera module (180) or a communication module (190)). In one embodiment, the auxiliary processor (123) (e.g., a neural network processing unit) may include a hardware structure specialized for processing artificial intelligence models. The artificial intelligence models may be generated through machine learning. This learning can be performed, for example, on the electronic device (101) itself where the artificial intelligence model is executed, or can be performed through a separate server (e.g., server (108)). The learning algorithm can include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but is not limited to the examples described above. The artificial intelligence model can include multiple artificial neural network layers.The artificial neural network may be one of a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), a deep Q-network, or a combination of two or more of the above, but is not limited to the examples described above. In addition to, or alternatively to, a hardware structure, an artificial intelligence model may include a software structure.

[0037] The memory (130) can store various data used by at least one component (e.g., processor (120) or sensor module (176)) of the electronic device (101). The data can include, for example, software (e.g., program (140)) and input data or output data for commands related thereto. The memory (130) can include volatile memory (132) or non-volatile memory (134).

[0038] The program (140) may be stored as software in the memory (130) and may include, for example, an operating system (142), middleware (144), or an application (146).

[0039] The input module (150) can receive commands or data to be used in a component of the electronic device (101) (e.g., a processor (120)) from an external source (e.g., a user) of the electronic device (101). The input module (150) can include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen).

[0040] The audio output module (155) can output audio signals to the outside of the electronic device (101). The audio output module (155) can include, for example, a speaker or a receiver. The speaker can be used for general purposes, such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. In one embodiment, the receiver can be implemented separately from the speaker or as part of the speaker.

[0041] The display module (160) can visually provide information to an external party (e.g., a user) of the electronic device (101). The display module (160) may include, for example, a display, a holographic device, or a projector and a control circuit for controlling the device. In one embodiment, the display module (160) may include a touch sensor configured to detect a touch, or a pressure sensor configured to measure the intensity of a force generated by the touch.

[0042] The audio module (170) can convert sound into an electrical signal, or vice versa, convert an electrical signal into sound. According to one embodiment, the audio module (170) can acquire sound through the input module (150), output sound through the sound output module (155), or an external electronic device (e.g., electronic device (102)) (e.g., speaker or headphone) directly or wirelessly connected to the electronic device (101).

[0043] The sensor module (176) can detect the operating status (e.g., power or temperature) of the electronic device (101) or the external environmental status (e.g., user status) and generate an electrical signal or data value corresponding to the detected status. According to one embodiment, the sensor module (176) can include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0044] The interface (177) may support one or more designated protocols that may be used to directly or wirelessly connect the electronic device (101) with an external electronic device (e.g., the electronic device (102)). In one embodiment, the interface (177) may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

[0045] The connection terminal (178) may include a connector through which the electronic device (101) may be physically connected to an external electronic device (e.g., electronic device (102)). According to one embodiment, the connection terminal (178) may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).

[0046] A haptic module (179) can convert electrical signals into mechanical stimuli (e.g., vibration or movement) or electrical stimuli that a user can perceive through tactile or kinesthetic sensations. In one embodiment, the haptic module (179) can include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

[0047] The camera module (180) can capture still images and videos. According to one embodiment, the camera module (180) may include one or more lenses, image sensors, image signal processors, or flashes.

[0048] The power management module (188) can manage power supplied to the electronic device (101). According to one embodiment, the power management module (188) can be implemented, for example, as at least a part of a power management integrated circuit (PMIC).

[0049] A battery (189) may power at least one component of the electronic device (101). In one embodiment, the battery (189) may include, for example, a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell.

[0050] The communication module (190) may support the establishment of a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device (101) and an external electronic device (e.g., electronic device (102), electronic device (104), or server (108)), and the performance of communication through the established communication channel. The communication module (190) may operate independently from the processor (120) (e.g., application processor) and may include one or more communication processors that support direct (e.g., wired) communication or wireless communication. According to one embodiment, the communication module (190) may include a wireless communication module (192) (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module (194) (e.g., a local area network (LAN) communication module, or a power line communication module). Among these communication modules, the corresponding communication module can communicate with an external electronic device (104) via a first network (198) (e.g., a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network (199) (e.g., a long-range communication network such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., a LAN or WAN)). These various types of communication modules can be integrated into a single component (e.g., a single chip) or implemented as multiple separate components (e.g., multiple chips). The wireless communication module (192) can verify or authenticate the electronic device (101) within a communication network such as the first network (198) or the second network (199) by using subscriber information (e.g., an international mobile subscriber identity (IMSI)) stored in the subscriber identification module (196).

[0051] The wireless communication module (192) can support 5G networks and next-generation communication technologies following the 4G network, such as NR access technology (new radio access technology). The NR access technology can support high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and connection of multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency communications)). The wireless communication module (192) can support, for example, a high-frequency band (e.g., mmWave band) to achieve a high data transmission rate. The wireless communication module (192) can support various technologies for securing performance in a high-frequency band, such as beamforming, massive multiple-input and multiple-output (MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module (192) can support various requirements specified in the electronic device (101), an external electronic device (e.g., the electronic device (104)), or a network system (e.g., the second network (199)). According to one embodiment, the wireless communication module (192) can support a peak data rate (e.g., 20 Gbps or more) for eMBB realization, a loss coverage (e.g., 164 dB or less) for mMTC realization, or a U-plane latency (e.g., 0.5 ms or less for downlink (DL) and uplink (UL), or 1 ms or less for round trip) for URLLC realization.

[0052] The antenna module (197) can transmit or receive signals or power to or from an external device (e.g., an external electronic device). In one embodiment, the antenna module (197) may include an antenna including a radiator formed of a conductor or a conductive pattern formed on a substrate (e.g., a PCB). In one embodiment, the antenna module (197) may include a plurality of antennas (e.g., an array antenna). In this case, at least one antenna suitable for a communication method used in a communication network, such as the first network (198) or the second network (199), may be selected from the plurality of antennas by, for example, the communication module (190). A signal or power may be transmitted or received between the communication module (190) and an external electronic device through the selected at least one antenna. In some embodiments, in addition to the radiator, another component (e.g., a radio frequency integrated circuit (RFIC)) may be additionally formed as a part of the antenna module (197).

[0053] According to various embodiments, the antenna module (197) may form a mmWave antenna module. According to one embodiment, the mmWave antenna module may include a printed circuit board, an RFIC disposed on or adjacent a first side (e.g., a bottom side) of the printed circuit board and capable of supporting a designated high frequency band (e.g., a mmWave band), and a plurality of antennas (e.g., an array antenna) disposed on or adjacent a second side (e.g., a top side or a side side) of the printed circuit board and capable of transmitting or receiving signals in the designated high frequency band.

[0054] At least some of the above components can be interconnected and exchange signals (e.g., commands or data) with each other via a communication method between peripheral devices (e.g., a bus, GPIO (general purpose input and output), SPI (serial peripheral interface), or MIPI (mobile industry processor interface)).

[0055] According to one embodiment, commands or data may be transmitted or received between the electronic device (101) and an external electronic device (104) via a server (108) connected to a second network (199). Each of the external electronic devices (102 or 104) may be the same or a different type of device as the electronic device (101). According to one embodiment, all or part of the operations executed in the electronic device (101) may be executed in one or more of the external electronic devices (102, 104, or 108). For example, when the electronic device (101) is to perform a certain function or service automatically or in response to a request from a user or another device, the electronic device (101) may, instead of or in addition to executing the function or service itself, request one or more external electronic devices to perform the function or at least a part of the service. One or more external electronic devices that receive the request may execute at least a portion of the requested function or service, or an additional function or service related to the request, and transmit the result of the execution to the electronic device (101). The electronic device (101) may process the result as is or additionally and provide it as at least a portion of a response to the request. For this purpose, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device (101) may provide an ultra-low latency service by using distributed computing or mobile edge computing, for example. In another embodiment, the external electronic device (104) may include an Internet of Things (IoT) device. The server (108) may be an intelligent server utilizing machine learning and / or a neural network. According to one embodiment, the external electronic device (104) or the server (108) may be included in the second network (199).The electronic device (101) can be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology and IoT-related technology.

[0056] An electronic device according to an embodiment disclosed in this document may take various forms. The electronic device may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. The electronic device according to an embodiment of this document is not limited to the aforementioned devices.

[0057] It should be understood that the embodiments of this document and the terminology used herein are not intended to limit the technical features described in this document to specific embodiments, but include various modifications, equivalents, or substitutes of the embodiments. In connection with the description of the drawings, similar reference numerals may be used for similar or related components. The singular form of a noun corresponding to an item may include one or more of the items, unless the context clearly indicates otherwise. In this document, each of the phrases "A or B", "at least one of A and B", "at least one of A or B", "A, B, or C", "at least one of A, B, and C", and "at least one of A, B, or C" can include any one of the items listed together in the corresponding phrase among those phrases, or all possible combinations thereof. Terms such as "first," "second," or "first" or "second" may be used merely to distinguish one component from another, and do not limit the components in any other respect (e.g., importance or order). When a component (e.g., a first component) is referred to as "coupled" or "connected" to another (e.g., a second component), with or without the terms "functionally" or "communicatively," it means that the component can be connected to the other component directly (e.g., wired), wirelessly, or through a third component.

[0058] The term "module" used in one embodiment of this document may include a unit implemented in hardware, software, or firmware, and may be used interchangeably with terms such as logic, logic block, component, or circuit. A module may be an integral component, or a minimum unit or part of such a component that performs one or more functions. For example, according to one embodiment, a module may be implemented in the form of an application-specific integrated circuit (ASIC).

[0059] An embodiment of the present document may be implemented as software (e.g., a program (140)) including one or more instructions stored in a storage medium (e.g., an internal memory (136) or an external memory (138)) readable by a machine (e.g., an electronic device (101)). For example, a processor (e.g., a processor (120)) of the machine (e.g., an electronic device (101)) may call at least one instruction among the one or more instructions stored from the storage medium and execute it. This enables the machine to operate to perform at least one function according to the at least one called instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Here, "non-transitory" simply means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and the term does not distinguish between cases where data is stored semi-permanently or temporarily on the storage medium.

[0060] According to one embodiment, the method according to one embodiment disclosed in the present document may be provided as a computer program product. The computer program product may be traded between sellers and buyers as a product. The computer program product may be distributed in the form of a device-readable storage medium (e.g., compact disc read-only memory (CD-ROM)) or may be provided through an application store (e.g., Play Store). TM ) or directly between two user devices (e.g., smart phones), online distribution (e.g., downloading or uploading). In the case of online distribution, at least a portion of the computer program product may be at least temporarily stored or temporarily created in a machine-readable storage medium, such as the memory of a manufacturer's server, an application store's server, or an intermediary server.

[0061] According to one embodiment, each component (e.g., a module or a program) of the above-described components may include one or more entities, and some of the entities may be separated and placed in other components. According to one embodiment, one or more components or operations of the aforementioned components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (e.g., a module or a program) may be integrated into a single component. In such a case, the integrated component may perform one or more functions of each of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. According to one embodiment, the operations performed by a module, program, or other component may be executed sequentially, in parallel, iteratively, or heuristically, or one or more of the operations may be executed in a different order, omitted, or one or more other operations may be added.

[0062] FIG. 2a is a perspective view (200a) of the front of a first wearable device (201) according to one embodiment of the present disclosure.

[0063] FIG. 2b is a perspective view (200b) of the rear of the first wearable device (201) according to one embodiment of the present disclosure.

[0064] Referring to FIGS. 2A and 2B , a first wearable device (201) according to an embodiment may include a housing (210) including a first side (or front side) (211), a second side (or back side) (212), and a side surface (213) surrounding a space between the first side (211) and the second side (212), and a wearing member (250, 260) connected to at least a portion of the housing (210) and configured to removably attach the first wearable device (201) to a body part (e.g., wrist, ankle) of a user. In another embodiment of the present disclosure, the housing (210) may also refer to a structure forming a portion of the first side (211), the second side (212), and the side surface (213) of FIGS. 2A and 2B . According to one embodiment of the present disclosure, the first side (211) may be formed by a front plate (222) that is at least partially transparent (e.g., a glass plate including various coating layers, or a polymer plate). The second side (212) may be formed by a back plate (207) that is substantially opaque. In one embodiment of the present disclosure, when the first wearable device (201) includes a sensor module (265) (e.g., the sensor module (176) of FIG. 1) disposed on the second side (212), the back plate (207) may include at least a partially transparent area.

[0065] The rear plate (207) may be formed of, for example, coated or colored glass, ceramic, polymer, metal (e.g., aluminum, stainless steel (STS), or magnesium), or a combination of at least two of the foregoing materials. The side surface (213) may be formed of a side bezel (or “side member”) (206) that is coupled to the front plate (222) and the rear plate (207) and comprises a metal and / or polymer. In one embodiment of the present disclosure, the rear plate (207) and the side bezel structure (206) may be formed integrally and comprise the same material (e.g., a metal material such as aluminum). The wearing member (250, 260) may be formed of various materials and shapes. The integral and multiple unit links may be formed to be movable with respect to each other by a woven material, leather, rubber, urethane, metal, ceramic, or a combination of at least two of the foregoing materials.

[0066] According to one embodiment of the present disclosure, the first wearable device (201) may include at least one of a display (220) (e.g., the display module (160) of FIG. 1), an audio module (205, 208) (e.g., the audio module (170) of FIG. 1), a sensor module (265) (e.g., the sensor module (176) of FIG. 1), a key input device (202, 203, 204) (e.g., the input module (150) of FIG. 1), and a connector hole (209). In one embodiment of the present disclosure, the first wearable device (201) may omit at least one of the components (e.g., the key input device (202, 203, 204), the connector hole (209), or the sensor module (265)), or may additionally include other components.

[0067] According to one embodiment of the present disclosure, the first wearable device (201) may include a plurality of electrodes for measuring a biosignal, and at least one electrode among the plurality of electrodes may be positioned at at least one of a position of a key input device (202, 203, or 204), a position of a side bezel (206), a position of a display (220), or a position of a housing (210). Among the key input devices, the wheel key (202) may include a rotary bezel.

[0068] The display (220) may be exposed, for example, through a significant portion of the front plate (222). The shape of the display (220) may correspond to the shape of the front plate (222), and may have various shapes such as a circle, an oval, or a polygon. The display (220) may be coupled to or disposed adjacent to a touch detection circuit, a pressure sensor capable of measuring the intensity (pressure) of a touch, and / or a fingerprint sensor.

[0069] According to one embodiment of the present disclosure, the display (220) may include at least one transparent electrode for measuring a biosignal among a plurality of electrodes for measuring a biosignal.

[0070] The audio module (205, 208) may include a microphone hole (205) and a speaker hole (208). The microphone hole (205) may have a microphone positioned therein for acquiring external sounds, and in one embodiment of the present disclosure, multiple microphones may be positioned therein to detect the direction of sounds. The speaker hole (208) may be used as an external speaker and a receiver for calls. In one embodiment of the present disclosure, a speaker may be included without a speaker hole (e.g., a piezo speaker).

[0071] The sensor module (265) can generate an electrical signal or data value corresponding to the internal operating state of the first wearable device (201) or the external environmental state. The sensor module (265) may include, for example, a biometric sensor module (265) (e.g., a heart rate monitor (HRM) sensor) disposed on the second surface (212) of the housing (210), an electrocardiogram (ECG) sensor (265a) including at least two electrodes (a1, a2) for measuring an electrocardiogram, and a PPG sensor (265b) for measuring a heart rate. The first wearable device (201) may further include at least one of a sensor module not shown, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.

[0072] The key input device (202, 203, 204) may include a wheel key (202) disposed on a first side (211) of the housing (210) and rotatable in at least one direction, and / or a side key button (203, 204) disposed on a side surface (213) of the housing (210). The wheel key (202) may have a shape corresponding to the shape of the front plate (222). In another embodiment of the present disclosure, some of the key input devices (202, 203, 204) may be implemented in another shape, such as a soft key, on the display (220). The connector hole (209) may accommodate a connector (e.g., a USB connector) for transmitting and receiving power and / or data with an external electronic device, and may include another connector hole (not shown) for receiving a connector for transmitting and receiving audio signals with the external electronic device. The first wearable device (201) may further include, for example, a connector cover (not shown) that covers at least a portion of the connector hole (209) and blocks the inflow of external foreign substances into the connector hole.

[0073] The wearing member (250, 260) can be detachably fastened to at least a portion of the housing (210) using a locking member (251, 261). The locking member (251, 261) can include a fastening component such as a pogo pin, and can be replaced with a protrusion(s) or recess(es) formed in the wearing member (250, 260) according to an embodiment. For example, the wearing member (250, 260) can be coupled in a manner of engaging with a groove or a protrusion formed in the housing (210). The wearing member (250, 260) can include one or more of a fixing member (252), a fixing member fastening hole (253), a band guide member (254), and a band fixing ring (255).

[0074] The fixing member (252) may be configured to fix the housing (210) and the wearing member (250, 260) to a part of the user's body (e.g., wrist, ankle). The fixing member fastening hole (253) may correspond to the fixing member (252) to fix the housing (210) and the wearing member (250, 260) to a part of the user's body. The band guide member (254) may be configured to limit the range of movement of the fixing member (252) when the fixing member (252) is fastened to the fixing member fastening hole (253), thereby allowing the wearing member (250, 260) to be fastened in close contact with a part of the user's body. The band fixing ring (255) may limit the range of movement of the wearing member (250, 260) when the fixing member (252) and the fixing member fastening hole (253) are fastened.

[0075] FIG. 3A is a perspective view illustrating a second wearable device (301) according to one embodiment of the present disclosure.

[0076] FIG. 3b is a cross-sectional view of a second wearable device (301) according to one embodiment of the present disclosure.

[0077] Referring to FIGS. 3A and 3B, the second wearable device (301) may include a housing (310). The housing (310) may form the overall appearance of the second wearable device (301).

[0078] According to one embodiment of the present disclosure, the housing (310) may be ring-shaped. The housing (310) may include an opening configured to receive a user's finger. For example, the opening may be defined as a hole formed in the housing (310).

[0079] According to one embodiment of the present disclosure, the housing (310) may include an outer housing portion (311) or an inner housing portion (313). The inner housing portion (313) may be coupled to the outer housing portion (311). According to one embodiment of the present disclosure, the outer housing portion (311) and the inner housing portion (313) may be manufactured separately and assembled, or may be formed integrally.

[0080] According to one embodiment of the present disclosure, the outer housing portion (311) may include a material capable of withstanding external impacts and / or scratches and implementing design features. For example, the outer housing portion (311) may include at least one of titanium, stainless steel, or ceramic. The outer housing portion (311) may be color-treated or coated to implement the design.

[0081] According to one embodiment of the present disclosure, the inner housing portion (313) may be a portion that comes into contact with a user's finger when the user wears the second wearable device (301). The inner housing portion (313) may be made of a material such as a molding material for sensing, transparent plastic, or glass. For example, the inner housing portion (313) may be configured to be at least partially transparent. For example, the inner housing portion (313) may include a material that is transparent to light for measuring biometric information. At least a portion of the inner housing portion (313) may be made of a material that is substantially the same as or similar to the outer housing portion (311). In addition, at least a portion of the inner housing portion (313) may include a metal material for measuring biometric information.

[0082] According to one embodiment of the present disclosure, an outer housing portion (311) and an inner housing portion (313) may be combined to provide an internal space of the housing (310). Various electrical / electronic components of the second wearable device (301) may be arranged and / or mounted in the internal space of the housing (310). For example, the housing (310) may accommodate various electrical / electronic components.

[0083] According to one embodiment of the present disclosure, the second wearable device (301) may include a circuit board (340), at least one light emitter (350), at least one sensor (360), at least one blocking member (370), or a battery (389) (e.g., battery (189) of FIG. 1).

[0084] According to one embodiment of the present disclosure, a circuit board (340) may be placed in the internal space of the housing (310). The circuit board (340) may include at least one of a printed circuit board (PCB), a flexible printed circuit board (FPCB), or a rigid-flexible PCB (RF-PCB).

[0085] According to one embodiment of the present disclosure, various electrical / electronic components may be arranged and / or mounted on the circuit board (340). For example, the circuit board (340) may be equipped with a processor (e.g., a processor (120) of FIG. 1), a memory (e.g., a memory (130) of FIG. 1), a communication module (e.g., a communication module (190) of FIG. 1), or a sensor module (e.g., a sensor module (176) of FIG. 1, or at least one light emitter (350) of FIG. 3B, or at least one sensor (360)).

[0086] According to one embodiment of the present disclosure, the circuit board (340) may include a plurality of printed circuit boards. For example, the plurality of printed circuit boards may be arranged according to the shape of the internal space of the housing (310) and may be electrically connected to each other. The circuit board (340) may include a flexible printed circuit board (FPCB). For example, the flexible printed circuit board may be at least partially bendable according to the shape of the internal space of the housing (310).

[0087] According to one embodiment of the present disclosure, the battery (389) is a device for supplying power to components of the second wearable device (301), and may include a non-rechargeable primary battery, a rechargeable secondary battery, or a fuel cell. The battery (389) may be integrally disposed within the second wearable device (301), or may be detachably disposed with the second wearable device (301). According to one embodiment of the present disclosure, the battery (389) may be formed as a single integral battery or may include multiple detachable batteries. The battery (389) may include a battery pack that is flexible according to the shape of the internal space of the housing (310). The battery (389) may include multiple non-flexible battery packs of the housing (310). The battery (389) may include a flexible battery pack and a plurality of non-flexible battery packs.

[0088] According to one embodiment of the present disclosure, the second wearable device (301) may include a power management module (e.g., power management module (188) of FIG. 1) disposed on a circuit board (340).

[0089] According to one embodiment of the present disclosure, the second wearable device (301) may include a sensor for acquiring (or measuring) at least one piece of biometric information. For example, the at least one piece of biometric information may include at least one of information about the user's blood pressure, information about the user's oxygen saturation, or information about the user's heart rate. For example, the sensor may include a photoplethysmography (PPG) sensor for measuring blood pressure, oxygen saturation, or heart rate.

[0090] According to one embodiment of the present disclosure, a PPG sensor may include a light source (e.g., at least one light emitter (350)) configured to emit light in two wavelength bands (e.g., a RED wavelength band or an Infrared wavelength band). The PPG sensor may include a light receiving unit (e.g., at least one sensor (360)) configured to detect at least a portion of light reflected from, or transmitted by, a body part of a user (e.g., a finger, skin or blood vessel of a finger).

[0091] According to one embodiment of the present disclosure, at least one light emitter (350) may emit light of substantially the same or different wavelengths to irradiate light to a body part of the user (e.g., a finger, skin and / or blood vessels of the finger) for measuring the oxygen saturation of the user. The light emitter (350) may be configured to emit light of a plurality of wavelength bands including a red wavelength and an infrared wavelength. For example, the at least one light emitter (350) may emit light of various bands and may include at least one of a light emitting diode (LED), a laser diode, or a vertical cavity surface emitting laser (VCSEL). The at least one light emitter (350) may be arranged and / or mounted on the circuit board (340). The at least one light emitter (350) may be configured to sequentially (or repeatedly) emit light of different wavelength bands by dividing time. For example, the light emitter (350) may be configured to emit light through the inner housing portion (313).

[0092] According to one embodiment of the present disclosure, at least one sensor (360) can accumulate photoelectric charge corresponding to the amount of light incident on a user's body part by reflection or transmission, and convert a biosignal in the form of an analog current according to the accumulated photoelectric charge into a digital signal. For example, light (or optical signal) acquired (or detected) through at least one sensor (360) can be converted through an analog to digital converter (ADC) and stored in a memory or a sensor buffer. At least one sensor (360) can include at least one of a photodiode (PD), a photo transistor, a charge-coupled device (CCD), or a complementary metal oxide semiconductor (CMOS). At least one sensor (360) can include, but is not limited to, various elements capable of converting an incident optical signal into an electrical signal.

[0093] According to one embodiment of the present disclosure, at least one sensor (360) may include a first sensor (361) or a second sensor (363). The first sensor (361) and / or the second sensor (363) may be disposed and / or mounted on a circuit board (340).

[0094] According to one embodiment of the present disclosure, the first sensor (361) may be positioned further away from at least one light emitter (350) than the second sensor (363). For example, the first sensor (361) may be positioned further away from at least one light emitter (350) than the second sensor (363) in the circumferential direction (or, the radial direction) of the housing (310). For example, the distance between the first sensor (361) and the light emitter (350) may be greater than the distance between the second sensor (363) and the light emitter (350).

[0095] According to one embodiment of the present disclosure, an angle formed by at least one light emitter (350) and the second sensor (363) with respect to the center (O) of the second wearable device (301) in the shape of a ring may be smaller than an angle formed by at least one light emitter (350) and the first sensor (361) with respect to the center (O) of the second wearable device (301).

[0096] According to one embodiment of the present disclosure, the first sensor (361) may be configured to receive light transmitted through a body part of a user. The first sensor (361) may be referred to as a transmissive sensor. The first sensor (361) may receive at least a portion of the light transmitted through a body part of a user, convert the transmitted light into an electrical signal, and transmit the signal to a processor (e.g., the processor (120) of FIG. 1). According to one embodiment of the present disclosure, the second sensor (363) may be configured to receive light reflected through a body part of a user. The second sensor (363) may be referred to as a reflective sensor. The second sensor (363) may receive at least a portion of the light reflected through a body part of a user, convert the reflected light into an electrical signal, and transmit the signal to a processor (e.g., the processor (120) of FIG. 1).

[0097] According to one embodiment of the present disclosure, light emitted from at least one light emitter (350) may reach a first sensor (361) along a first light path (11) or reach a second sensor (363) along a second light path (13). For example, the first light path (11) may be a path that transmits to a body part of a user (e.g., a finger, skin of a finger, or a blood vessel of a finger), and the second light path (13) may be a path that reflects off a body part of the user.

[0098] According to one embodiment of the present disclosure, the second wearable device (301) may include at least one blocking member (370). The at least one blocking member (370) may include a material that absorbs or blocks light. The at least one blocking member (370) may be configured to block light emitted from at least one light emitter (350) from propagating within the internal space of the housing (310).

[0099] According to one embodiment of the present disclosure, at least one blocking member (370) may include a first wall (371) or a second wall (373). The first wall (371) may be positioned between the first sensor (361) and the second sensor (363) in the interior space of the housing (310). The second wall (373) may be positioned between the second sensor (363) and at least one light emitter (350) in the interior space of the housing (310).

[0100] FIG. 4 is a block diagram of an electronic device (401) according to one embodiment of the present disclosure.

[0101] Referring to FIG. 4, in one embodiment of the present disclosure, the electronic device (401) may be the electronic device (101) of FIG. 1.

[0102] In one embodiment of the present disclosure, the electronic device (401) may include a communication circuit (410), a display (420), a camera (430), a memory (440), and / or a processor (450).

[0103] In one embodiment of the present disclosure, the communication circuit (410) may be the communication module (190) of FIG. 1. The communication circuit (410) may support communication between the electronic device (401) and an external electronic device (e.g., the electronic device (102), the electronic device (104)). For example, the communication circuit (410) (e.g., a short-range communication circuit) may enable the electronic device (401) to wirelessly connect with the first wearable device (501) and the second wearable device (601).

[0104] In one embodiment of the present disclosure, the display (420) may be the display module (160) of FIG. 1.

[0105] In one embodiment of the present disclosure, the display (420) can display various information. For example, the display (420) can display information necessary for performing an operation to measure blood pressure. For example, the display (420) can display the obtained blood pressure (e.g., blood pressure value) based on the blood pressure obtained. However, the information displayed by the display (420) is not limited to the examples described above.

[0106] In one embodiment of the present disclosure, the camera (430) may be the camera module (180) of FIG. 1.

[0107] In one embodiment of the present disclosure, the camera (430) can acquire (e.g., capture) images of the first wearable device (501) and the second wearable device (601) worn by the user while the first wearable device (501) displays an object having a specified length (e.g., a bar-shaped image having edges of about 1 cm in actual length). Based on the captured images, the distance between the first wearable device (501) and the second wearable device (601) can be acquired. An operation of acquiring the distance between the first wearable device (501) and the second wearable device (601) based on the captured images will be described in detail later with reference to FIG. 10.

[0108] In one embodiment of the present disclosure, the memory (440) may be the memory (130) of FIG. 1.

[0109] In one embodiment of the present disclosure, the memory (440) can store information necessary to perform an operation of measuring blood pressure.

[0110] In one embodiment of the present disclosure, the processor (450) may be the processor (120) of FIG. 1.

[0111] In one embodiment of the present disclosure, the processor (450) may control the overall operation for measuring blood pressure (e.g., blood pressure value). The processor (450) may include one or more processors for performing the operation for measuring blood pressure. The operation performed by the processor (450) for measuring blood pressure will be described in detail below.

[0112] In FIG. 4, the electronic device (401) is illustrated as including, but not limited to, a communication circuit (410), a display (420), a camera (430), a memory (440), and / or a processor (450). For example, the electronic device (401) may further include at least one component included in the electronic device (101) of FIG. 1.

[0113] FIG. 5 is a block diagram of a first wearable device (501) according to one embodiment of the present disclosure.

[0114] Referring to FIG. 5, in one embodiment of the present disclosure, the first wearable device (501) may be the electronic device (101) of FIG. 1 or the first wearable device (201) of FIGS. 2A and 2B. For example, the first wearable device (501) may include a smart watch that performs an operation while being worn on a user's wrist.

[0115] In one embodiment of the present disclosure, the first wearable device (501) may include a communication circuit (510), a display (520), a biometric sensor (530), a memory (540), and / or a processor (550).

[0116] In one embodiment of the present disclosure, the communication circuit (510) may be the communication module (190) of FIG. 1. The communication circuit (510) may support communication between the first wearable device (501) and an external electronic device (e.g., the electronic device (401) and / or the second wearable device (601)).

[0117] In one embodiment of the present disclosure, the display (520) may be the display module (160) of FIG. 1 or the display (220) of FIGS. 2A and 2B.

[0118] In one embodiment of the present disclosure, the biosensor (530) may include at least one of the sensors included in the sensor module (176) of FIG. 1 or the sensors included in the sensor module (265) of FIGS. 2A and 2B.

[0119] In one embodiment of the present disclosure, the biosensor (530) may include a PPG sensor (531). The PPG sensor (e.g., the PPG sensor (265b) of FIGS. 2A and 2B) may acquire (e.g., measure) a PPG signal. However, the sensor included in the biosensor (530) is not limited to the PPG sensor (531). For example, the biosensor (530) may further include an ECG sensor (265a) including at least two electrodes (a1, a2) for electrocardiogram measurement, as illustrated in FIG. 2B.

[0120] In one embodiment of the present disclosure, the memory (540) may be the memory (130) of FIG. 1.

[0121] In one embodiment of the present disclosure, the memory (540) can store information necessary to perform an operation of measuring blood pressure.

[0122] In one embodiment of the present disclosure, the processor (550) may be the processor (120) of FIG. 1.

[0123] In one embodiment of the present disclosure, the processor (550) may perform a portion of the operation for measuring blood pressure. The processor (550) may include one or more processors for performing a portion of the operation for measuring blood pressure. A portion of the operation performed by the processor (550) for measuring blood pressure will be described in detail below.

[0124] In FIG. 5, the first wearable device (501) is illustrated as including, but not limited to, a communication circuit (510), a display (520), a biometric sensor (530), a memory (540), and / or a processor (550). For example, the first wearable device (501) may further include at least one component included in the electronic device (101) of FIG. 1 or the first wearable device (201) of FIGS. 2A and 2B.

[0125] FIG. 6 is a block diagram of a second wearable device (601) according to one embodiment of the present disclosure.

[0126] Referring to FIG. 6, in one embodiment of the present disclosure, the second wearable device (601) may be the electronic device (101) of FIG. 1 or the second wearable device (301) of FIGS. 3A and 3B. For example, the second wearable device (601) may include a smart ring that performs an operation while being worn on a user's finger.

[0127] In one embodiment of the present disclosure, the second wearable device (601) may include a communication circuit (610), a biometric sensor (620), a memory (630), and / or a processor (640).

[0128] In one embodiment of the present disclosure, the communication circuit (610) may be the communication module (190) of FIG. 1. The communication circuit (610) may support communication between the second wearable device (601) and an external electronic device (e.g., the electronic device (401) and / or the first wearable device (501)).

[0129] In one embodiment of the present disclosure, the biosensor (620) may include at least one of the sensors included in the sensor module (176) of FIG. 1.

[0130] In one embodiment of the present disclosure, the biosensor (620) may include a PPG sensor (621).

[0131] In one embodiment of the present disclosure, a PPG sensor (621) can acquire (e.g., measure) a PPG signal. The PPG sensor (621) can include at least one light emitter (350) and at least one sensor (360) of FIG. 3B to acquire a PPG signal.

[0132] However, the sensor included in the biosensor (620) is not limited to the PPG sensor (621).

[0133] In one embodiment of the present disclosure, the memory (630) may be the memory (130) of FIG. 1.

[0134] In one embodiment of the present disclosure, the memory (630) can store information necessary to perform an operation of measuring blood pressure.

[0135] In one embodiment of the present disclosure, the processor (640) may be the processor (120) of FIG. 1.

[0136] In one embodiment of the present disclosure, the processor (640) may perform a portion of the operation for measuring blood pressure. The processor (640) may include one or more processors for performing a portion of the operation for measuring blood pressure. A portion of the operation performed by the processor (550) for measuring blood pressure will be described in detail below.

[0137] In FIG. 6, the second wearable device (601) is illustrated as including, but not limited to, a communication circuit (610), a biometric sensor (612), a memory (630), and / or a processor (640). For example, the second wearable device (601) may further include at least one component included in the electronic device (101) of FIG. 1 or the second wearable device (301) of FIGS. 3A and 3B.

[0138] FIG. 7 is a flowchart (700) for explaining a method of measuring blood pressure (e.g., blood pressure value) according to one embodiment of the present disclosure.

[0139] Referring to FIG. 7, in operation 701, in one embodiment of the present disclosure, the processor (450) may receive a first PPG signal from a first wearable device (501) (hereinafter, the PPG signal received from the first wearable device (501) is referred to as a “first PPG signal”) and may receive a second PPG signal from a second wearable device (601) (hereinafter, the PPG signal received from the second wearable device (601) is referred to as a “second PPG signal”) through the communication circuit (410).

[0140] In one embodiment of the present disclosure, the processor (450) may receive, from the first wearable device (501) via the communication circuit (410), a first PPG signal acquired (e.g., measured) by the first wearable device (501) and information on the time at which the first PPG signal was acquired (hereinafter referred to as “first time information”). For example, the processor (450) may receive, from the first wearable device (501) via the communication circuit (410), values ​​of the first PPG signal measured by the first wearable device (501) using a PPG sensor and time points at which the values ​​of the first PPG signal were each measured.

[0141] In one embodiment of the present disclosure, the processor (450) may receive, from the second wearable device (601) via the communication circuit (410), the second PPG signal acquired by the second wearable device (601) and information on the time at which the second PPG signal was acquired (hereinafter referred to as “second time information”). For example, the processor (450) may receive, from the second wearable device (601) via the communication circuit (410), the values ​​of the second PPG signal measured by the second wearable device (601) using a PPG sensor and the points in time at which the values ​​of the second PPG signal were each measured.

[0142] In one embodiment of the present disclosure, the first time information at which the first PPG signal is acquired and the second time information at which the second PPG signal is acquired may be synchronized time information. For example, the first time information and the second time information may be time information at which the PPG signals are acquired in the first wearable device (501) and the second wearable device (601), where the reference time (hereinafter referred to as the “reference time”) is set to be the same. Hereinafter, the operation of the first wearable device (501) and the second wearable device (601) setting the reference time to be the same may be referred to as an operation of synchronizing the first wearable device (501) and the second wearable device (601). The operation of synchronizing the first wearable device (501) and the second wearable device (601) will be described with reference to FIG. 8.

[0143] FIG. 8 is a diagram for explaining a method of synchronizing a first wearable device (501) and a second wearable device (601) according to one embodiment of the present disclosure.

[0144] Referring to FIG. 8, in one embodiment of the present disclosure, as shown at reference numeral 801, the processor (450) includes a communication circuit (410) (e.g., Bluetooth TM By using a communication circuit, an advertising signal (811) (e.g., a BLE beacon signal) including time information (e.g., a time stamp of an electronic device (401)) can be transmitted (e.g., broadcast). For example, at reference numeral 802, the processor (450) transmits, at a first time point (t1), a Bluetooth TM (e.g. BLE (Bluetooth TM low energy), Bluetooth TMUsing a classic communication circuit, an advertising packet including time information of the electronic device (401) (e.g., local OS (operating system) time information of the electronic device (401)) can be transmitted periodically.

[0145] In one embodiment of the present disclosure, the first wearable device (501) and the second wearable device (601) can receive a signal (811) including time information of the electronic device (401) transmitted from the electronic device (401) at substantially the same time. For example, at reference numeral 802, the first wearable device (501) and the second wearable device (601) can receive the signal (811) transmitted from the electronic device (401) at a first time point (t1) at substantially the same time point (t2).

[0146] In one embodiment of the present disclosure, the first wearable device (501) and the second wearable device (601) can be synchronized by setting a second time point (t2) at which the first wearable device (501) and the second wearable device (601) receive the signal (811) substantially simultaneously as a reference time.

[0147] However, the method of synchronizing the first wearable device (501) and the second wearable device (601) is not limited to the above-described example. For example, the electronic device (401), the first wearable device (501), and the second wearable device (601) may be connected via Bluetooth. TMIn addition, when supporting other short-range communication (e.g., Wi-Fi), the electronic device (401), the first wearable device (501), and the second wearable device (601) may perform an operation of synchronizing the first wearable device (501) and the second wearable device (601) using the other short-range communication. For example, the electronic device (401), the first wearable device (501), and the second wearable device (601) may perform an operation of synchronizing the first wearable device (501) and the second wearable device (601) using an audio signal using an inaudible frequency.

[0148] Referring again to FIG. 7, in one embodiment of the present disclosure, after the first wearable device (501) and the second wearable device (601) are synchronized, the first wearable device (501) and the second wearable device (601) can acquire PPG signals through the PPG sensors (531, 621). For example, the first wearable device (501) and the second wearable device (601) can each perform an operation of acquiring PPG signals at preset intervals. For example, the first wearable device (501) and the second wearable device (601) can each perform an operation of acquiring PPG signals when a user inputs. For example, each of the first wearable device (501) and the second wearable device (601) may perform an operation of acquiring PPG signals upon receiving a signal including a command to acquire PPG signals from the electronic device (401).

[0149] In one embodiment of the present disclosure, after the first wearable device (501) and the second wearable device (601) are synchronized, each of the first wearable device (501) and the second wearable device (601) may perform an operation to acquire a PPG signal when a specified condition is satisfied. For example, the first wearable device (501) (and the second wearable device (601)) may perform an operation to acquire a PPG signal based on the magnitude of the movement of the first wearable device (501) being less than or equal to a threshold magnitude. For example, the first wearable device (501) (and the second wearable device (601)) may perform an operation of acquiring a PPG signal through the PPG sensor (531) based on the fact that the size of the movement of the first wearable device (501) is below a threshold size and the heart rate acquired through the first wearable device (501) is below a threshold (and / or based on heart rate variability).

[0150] In one embodiment of the present disclosure, the first wearable device (501) and the second wearable device (601) may each perform an operation of acquiring a first PPG signal and a second PPG signal for a preset period of time (e.g., about 1 minute).

[0151] In one embodiment of the present disclosure, the first wearable device (501) may include a smart watch that performs an operation of acquiring a first PPG signal while being worn on a first location of the user (e.g., the user's wrist). The second wearable device (601) may include a smart ring that performs an operation of acquiring a second PPG signal while being worn on a second location of the user (e.g., the user's finger).

[0152] In one embodiment of the present disclosure, the first wearable device (501) and the second wearable device (601) can acquire the first PPG signal and the second PPG signal, and then transmit the acquired first PPG signal and the second PPG signal to the electronic device (401). The processor (450) can acquire the first PPG signal and the second PPG signal by receiving the first PPG signal and the second PPG signal from the first wearable device (501) and the second wearable device (601) through the communication circuit (410).

[0153] In operation 703, in one embodiment of the present disclosure, the processor (450) may obtain a pulse transit time (PTT) for transmitting a pulse wave from a first location (hereinafter also referred to as “first location”) of a user wearing a first wearable device (501) to a second location (hereinafter also referred to as “second location”) of a user wearing a second wearable device (601), based on the first PPG signal and the second PPG signal. Hereinafter, an operation of obtaining the PTT based on the first PPG signal and the second PPG signal will be described with reference to FIG. 9.

[0154] FIG. 9 is a diagram for explaining a method of obtaining PTT based on a first PPG signal and a second PPG signal according to one embodiment of the present disclosure.

[0155] Referring to FIG. 9, in one embodiment of the present disclosure, reference numeral 901 may represent a first wearable device (501) and a second wearable device (601) that are worn by a user (910). For example, the first wearable device (501) may be worn on the wrist of the user (910), and the second wearable device (601) may be worn on the finger of the user (910). Reference numeral 911 in reference numeral 901 may represent a blood vessel (e.g., an artery) of the user (910).

[0156] In one embodiment of the present disclosure, reference numeral 902 may represent a graph including a first PPG signal (921) (e.g., a waveform of the first PPG signal), and reference numeral 903 may represent a graph including a second PPG signal (931) (e.g., a waveform of the second PPG signal). In each of the graphs of reference numerals 902 and 903, the X-axis may represent time, and the Y-axis may represent a size (e.g., amplitude) of the PPG signal.

[0157] In one embodiment of the present disclosure, in each of the graphs of reference numerals 902 and 903, the time indicated by the X-axis may be a time based on a reference time (e.g., a second time point (t2)). In each of the graphs of reference numerals 902 and 903, the Y-axis may represent the magnitude of a PPG signal measured in a wearable device (e.g., a first wearable device (501) and a second wearable device (601) respectively) based on a reference time (e.g., a second time point (t2)).

[0158] In one embodiment of the present disclosure, the processor (450) may obtain (e.g., extract) one or more feature points, such as a point having a maximum size, a point having a minimum size, an inflection point, and / or a point having a maximum slope, from each of the first PPG signal (921) and the second PPG signal (931). However, the one or more feature points are not limited to the examples described above.

[0159] In one embodiment of the present disclosure, the processor (450) can obtain the PTT by comparing the times of corresponding feature points in the first PPG signal (921) and the second PPG signal (931) (e.g., based on the difference between the times of the corresponding feature points). For example, the processor (450) can identify the times (t1, t2) of points (922, 932) that correspond to each other and have a minimum size in each of the first PPG signal (921) and the second PPG signal (931). The processor (450) can obtain (e.g., calculate) the PTT by subtracting the time (t1) corresponding to the point (922) from the time (t2) corresponding to the point (932). In the above example, the PTT is obtained based on the times (t1, t2) corresponding to points (922, 932) having the minimum size, but this is not limited thereto. For example, the processor (450) can obtain the PTT by subtracting the time corresponding to the point (923) having the maximum size in the first PPG signal (921) from the time corresponding to the point (933) having the maximum size in the second PPG signal (931).

[0160] Referring again to FIG. 7, at operation 705, in one embodiment of the present disclosure, the processor (450) may obtain a distance between the first wearable device (501) and the second wearable device (601).

[0161] In one embodiment of the present disclosure, the distance between the first wearable device (501) and the second wearable device (601) may be substantially equal to the distance between a first location of a user wearing the first wearable device (501) (e.g., a location where a first PPG signal is measured) and a second location of the user wearing the second wearable device (601) (e.g., a location where a second PPG signal is measured). Hereinafter, an operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) will be described with reference to FIG. 10.

[0162] FIG. 10 is a diagram for explaining a method for obtaining a distance between a first wearable device (501) and a second wearable device (601) according to one embodiment of the present disclosure.

[0163] Referring to FIG. 10, in one embodiment of the present disclosure, the processor (450) may obtain (e.g., calculate) a distance between the first wearable device (501) and the second wearable device (601) based on images of the first wearable device (501) and the second wearable device (601) worn by the user.

[0164] In one embodiment of the present disclosure, the processor (450) may transmit a signal to the first wearable device (501) through the communication circuit (410) to cause the first wearable device (501) to display an object having a specified length (e.g., a bar-shaped image having edges of about 1 cm in actual length) through the display (520). For example, the processor (450) may control the first wearable device (501) to display an object having a specified length on the display (520) of the first wearable device (501) based on the electronic device (401) operating in a mode for acquiring a distance between the first wearable device (501) and the second wearable device (601).

[0165] In one embodiment of the present disclosure, the processor (450) may obtain images of the first wearable device (501) and the second wearable device (601) worn by the user using the camera (430) while the first wearable device (501) displays the object. For example, in reference numeral 1001, when the user grips the electronic device (401) using the right hand (1042), the processor (450) may obtain images of the first wearable device (501) and the second wearable device (601) worn on the left hand using the camera (430).

[0166] In one embodiment of the present disclosure, at reference numeral 1001, the processor (450) may display an image (1010) including a portion (1020) representing a first wearable device (501), a portion (1030) representing a second wearable device (601), and a portion (1041) representing a left hand, obtained through a camera (430) via the display (420).

[0167] In one embodiment of the present disclosure, the processor (450) may obtain (e.g., confirm) the length (hereinafter referred to as “first length”) of a portion (1050) representing an object (e.g., a bar-shaped image having edges of about 1 cm in actual length) displayed through the first wearable device (501) and having a specified length within the image (1010).

[0168] In one embodiment of the present disclosure, the processor (450) may obtain (e.g., confirm) a distance (hereinafter referred to as “first distance”) between a portion (1020) representing the first wearable device (501) and a portion (1030) representing the second wearable device (601) from the image (1010). For example, the processor (450) may confirm a distance between the center of the portion (1020) representing the first wearable device (501) and the center of the portion (1030) representing the second wearable device (601) within the image (1010).

[0169] In one embodiment of the present disclosure, the processor (450) may obtain a distance between the first wearable device (501) and the second wearable device (601) (e.g., an actual distance between the first wearable device (501) and the second wearable device (601)) based on the specified length of the object, the first length, and the first distance. For example, the processor (450) may calculate the distance between the first wearable device (501) and the second wearable device (601) using the following [Mathematical Formula 1].

[0170]

[0171] In one embodiment of the present disclosure, in [Mathematical Formula 1], D may represent an actual distance between the first wearable device (501) and the second wearable device (601). In [Mathematical Formula 1], the specified length of the object may represent an actual length of the object (e.g., about 1 cm) displayed through the display (520) of the first wearable device (501).

[0172] Although not shown in FIG. 10, in one embodiment of the present disclosure, the processor (450) may obtain the distance between the first wearable device (501) and the second wearable device (601) based on images of the first wearable device (501) and the second wearable device (601) worn by the user and an actual length of the display (520) of the first wearable device (501) that may replace the specified length of the aforementioned object (e.g., an actual diameter of the display (520) of the first wearable device (501).

[0173] In one embodiment of the present disclosure, the processor (450) may receive identification information (e.g., model name of the first wearable device (501)) of the first wearable device (501) from the first wearable device (501) through the communication circuit (410), or may obtain identification information of the first wearable device (501) stored in the memory (440) from the memory (440). The processor (450) may receive an actual length (hereinafter referred to as “second length”) of the display (520) of the first wearable device (501) from the server by transmitting the identification information of the first wearable device (501) to the server through the communication circuit (410). However, the present disclosure is not limited thereto. For example, if the second length is stored as the actual length of the display (520) of the first wearable device (501) in the memory (440), the processor (450) can obtain the second length from the memory (440).

[0174] In one embodiment of the present disclosure, the processor (450) may obtain, based on images of the first wearable device (501) and the second wearable device (601) worn by the user obtained through the camera (430), the length of a portion representing the display (520) of the first wearable device (501) within the image (hereinafter referred to as the “third length”). For example, if the portion representing the display (520) of the first wearable device (501) within the image is displayed in a circular shape, the third length may be the length of the diameter of the circle. If the portion representing the display (520) of the first wearable device (501) within the image is displayed in an elliptical shape, the third length may be the length between the major axis of the ellipse and the points where the ellipse intersects.

[0175] In one embodiment of the present disclosure, the processor (450) can obtain a first distance between a portion representing the first wearable device (501) and a portion representing the second wearable device (601) from the image.

[0176] In one embodiment of the present disclosure, the processor (450) can obtain the distance between the first wearable device (501) and the second wearable device (601) based on the first distance, the second length, and the third length. For example, the processor (450) can calculate the distance between the first wearable device (501) and the second wearable device (601) using the following [Mathematical Formula 2].

[0177]

[0178] In one embodiment of the present disclosure, in [Mathematical Formula 2], D may represent an actual distance between the first wearable device (501) and the second wearable device (601).

[0179] In the examples described above, the display (520) of the first wearable device (501) is illustrated as displaying an object having a specified length or using the actual length of the display (520) of the first wearable device (501), but is not limited thereto. For example, if the second wearable device (601) includes a display, the operations described above can be performed by using an object having a specified length displayed through the display of the second wearable device (601) or using the actual length of the display of the second wearable device (601).

[0180] In one embodiment of the present disclosure, the processor (450) may obtain a distance between the first wearable device (501) and the second wearable device (601) based on the transmission / reception time of an audio signal (e.g., an inaudible sound wave) between the first wearable device (501) and the second wearable device (601) and the speed of the audio signal. For example, in reference numeral 1002, when the first wearable device (501) and the second wearable device (601) are worn by the user (1043), the first wearable device (501) may transmit an audio signal to the second wearable device (601) in the direction indicated by the arrow (1061). In response to receiving the audio signal, the second wearable device (601) may transmit the audio signal to the first wearable device (501) in the direction indicated by the arrow (1062). The processor (450) may control an operation of transmitting and receiving the audio signal between the first wearable device (501) and the second wearable device (601). The processor (450) may receive, through the communication circuit (410), from the first wearable device (501) the time from the time at which the first wearable device (501) transmits the audio signal to the second wearable device (601) to the time at which the audio signal is received from the second wearable device (601).

[0181] In one embodiment of the present disclosure, the processor (450) may obtain the distance between the first wearable device (501) and the second wearable device (601) based on the received time and the speed (e.g., speed of sound) of the audio signal. For example, the processor (450) may obtain the actual distance between the first wearable device (501) and the second wearable device (601) by multiplying the received time and the speed of the audio signal and then dividing the result by 2.

[0182] In the above example, the actual distance between the first wearable device (501) and the second wearable device (601) is obtained based on the time from the time the first wearable device (501) transmits the audio signal to the second wearable device (601) to the time the audio signal is received from the second wearable device (601), but is not limited thereto. For example, the processor (450) can obtain the distance between the first wearable device (501) and the second wearable device (601) by multiplying the time from the time the first wearable device (501) transmits the audio signal to the time the second wearable device (601) receives the audio signal by the speed of the audio signal. For example, the processor (450) can obtain the distance between the first wearable device (501) and the second wearable device (601) by multiplying the time from the time the second wearable device (601) transmits the audio signal to the time the first wearable device (501) receives the audio signal by the speed of the audio signal.

[0183] Referring back to FIG. 7, in operation 707, in one embodiment of the present disclosure, the processor (450) may obtain a pulse wave velocity (PWV) at which a pulse wave is transmitted based on the PTT obtained through operation 703 and the distance between the first wearable device (501) and the second wearable device (601) obtained through operation 705. For example, the processor (450) may obtain (e.g., calculate) the PWV by dividing the distance between the first wearable device (501) and the second wearable device (601) by the PTT.

[0184] In operation 709, in one embodiment of the present disclosure, the processor (450) may obtain blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal.

[0185] In one embodiment of the present disclosure, the processor (450) analyzes the waveform of the first PPG signal and / or the waveform of the second PPG signal received through operation 701 in a PWA (pulse wave analysis) manner, thereby obtaining blood pressure (hereinafter, blood pressure obtained using the PWA method is referred to as “first blood pressure” or “P PWA"). For example, the processor (450) may obtain the first blood pressure based on the magnitude (e.g., amplitude) of one or more feature points (e.g., a point having a maximum magnitude, a point having a minimum magnitude, an inflection point, and / or a point having a maximum slope in the waveform of the first PPG signal), a time interval between the one or more feature points, and / or a slope with respect to time of the one or more feature points) in the waveform of the first PPG signal (and / or the waveform of the second PPG signal). For example, the processor (450) may obtain an accelerated plethysmograph waveform by second-order differentiating the first PPG signal (and / or the second PPG signal), and analyze peak characteristics (e.g., peak values, time differences between peaks in the acceleration plethysmograph waveform) in the acceleration plethysmograph waveform. The processor (450) may analyze the peak characteristics based on the peak characteristics. Based on this, the first blood pressure can be obtained by using the correlation between the peak characteristics of the acceleration pulse waveform stored in the memory (440) and the first blood pressure (e.g., the value of the first blood pressure). However, the method of obtaining the first blood pressure using the PWA method is not limited to the examples described above.

[0186] In one embodiment of the present disclosure, the processor (450) may map the PWV obtained through operation 707 and the first blood pressure obtained through operation 709, and store the mapped PWV and the first blood pressure in the memory (440).

[0187] In one embodiment of the present disclosure, the processor (450) may perform operations 701 to 709 for a specified period of time (e.g., one day, one week). For example, the processor (450) may collect (e.g., store in memory (440)) a plurality of PWVs and a plurality of first blood pressures corresponding to (e.g., mapped to) the plurality of PWVs by performing operations 701 to 709 for a specified period of time.

[0188] In operation 711, in one embodiment of the present disclosure, the processor (450) may obtain a value (or coefficient) related to a characteristic of a blood vessel (hereinafter referred to as a “blood vessel characteristic value”) based on the PWV and the first blood pressure.

[0189] In one embodiment of the present disclosure, the processor (450) can obtain vascular characteristic values ​​using the PWV blood pressure model and the PWA blood pressure model. Hereinafter, with reference to FIG. 11, an operation of obtaining vascular characteristic values ​​using the PWV blood pressure model and the PWA blood pressure model will be described.

[0190] FIG. 11 is a diagram for explaining a method for obtaining blood vessel characteristic values ​​using a PWV blood pressure model and a PWA blood pressure model according to one embodiment of the present disclosure.

[0191] Referring to FIG. 11, in one embodiment of the present disclosure, the following [Mathematical Formula 3] may represent Fung's hyperelastic model as a PWV blood pressure model (e.g., a blood pressure model using PWV).

[0192]

[0193] In one embodiment of the present disclosure, in [Mathematical Formula 3], P may represent blood pressure. In [Mathematical Formula 3], ρ may represent blood vessel density, and C and a1 may be parameters related to the elasticity of blood vessels.

[0194] In one embodiment of the present disclosure, [Mathematical Formula 3] can be expressed as [Mathematical Formula 4] below. For example, [Mathematical Formula 3] can be approximated as [Mathematical Formula 4] below.

[0195]

[0196] In one embodiment of the present disclosure, in [Mathematical Formula 4], P may represent blood pressure. In [Mathematical Formula 4], α and β may be coefficients related to blood vessel characteristics. For example, α and β may be coefficients related to blood vessel elasticity, blood vessel radius, blood vessel thickness, and / or blood vessel density as blood vessel characteristics. In one embodiment of the present disclosure, at least one of α, β, and γ, which will be described later, may be included in the blood vessel characteristic value.

[0197] In the above example, Fung's hyperelastic model is exemplified as the PWV blood pressure model, but it is not limited thereto, and other PWV blood pressure models (e.g., MK & Hughes model) can be used.

[0198] In one embodiment of the present disclosure, the following [Mathematical Formula 5] may represent a PWA (pulse wave analysis) blood pressure model (e.g., a blood pressure model using PWA).

[0199]

[0200] In one embodiment of the present disclosure, in [Mathematical Formula 5], P may represent blood pressure. In [Mathematical Formula 5], P PWA represents blood pressure measured using the PWA method, and P cal Silver P PWA By correcting, a value for blood pressure correction (hereinafter referred to as “blood pressure correction value”) for calculating blood pressure (P) can be indicated.

[0201] In one embodiment of the present disclosure, based on [Equation 4] and [Equation 5], [Equation 6] and [Equation 7] below can be derived.

[0202]

[0203]

[0204] In one embodiment of the present disclosure, the processor (450) acquires (e.g., collects) a plurality of PWVs and a plurality of first blood pressures (P) obtained (e.g., collected) during a specified period of time (e.g., one day, one week). PWA ) (a plurality of first blood pressures corresponding to a plurality of PWVs, respectively) (hereinafter, PWV and P corresponding to the PWV PWA , "PWV and P PWA Based on the "pair" (also referred to as "α" or "γ"), regression analysis can be used to obtain (e.g., produce) α and γ as vessel feature values. Hereinafter, α may be referred to as a "first vessel feature value" and γ may be referred to as a "second vessel feature value". In addition, β may be referred to as a "third vessel feature value".

[0205] In one embodiment of the present disclosure, in [Equation 4], [Equation 5], [Equation 6], and [Equation 7], α (first blood vessel characteristic value), γ (second blood vessel characteristic value), β (third blood vessel characteristic value), and P cal (Blood pressure correction value) can be variable values. Hereinafter, α, γ, β, and / or P cal The action of obtaining (e.g., producing) α, γ, β, and / or P cal It may include actions to obtain constant values.

[0206] In one embodiment of the present disclosure, the processor (450) acquires PWV and P during a specified period of time. PWA Based on the confirmation that the number of pairs is greater than or equal to a specified number, a regression analysis can be performed. The processor (450) performs the regression analysis, thereby determining whether the PWV 2 and P PWA A mathematical expression representing the correlation (hereinafter also referred to as a “relational expression”) can be calculated. The processor (450) can obtain α and γ (e.g., α and γ as constant values) from the calculated mathematical expression.

[0207] In one embodiment, in FIG. 11, the X-axis is PWV 2, and the Y-axis represents P PWA can represent. In Fig. 11, points (1111) represent PWV and P obtained during a specified period, respectively. PWA can correspond to pairs. For example, each of the points (1111) is PWV and P PWA Pair PWV 2 and P PWA These may be points expressed in a relationship.

[0208] In one embodiment of the present disclosure, the processor (450) may obtain (e.g., produce) a linear line (1110) by performing a regression analysis (e.g., linear regression analysis) on the points (1111). For example, the processor (450) may obtain (e.g., produce) a PWV by performing a linear regression analysis on the points (1111). 2 and P PWA A linear line (1110) representing the relationship between the PWV and the processor (450) can be produced. 2 and P PWA Based on the linear line (1110) representing the relationship between the liver and the blood vessels, α and γ of [Mathematical Formula 6] can be obtained (e.g., calculated) as blood vessel characteristic values.

[0209] Referring again to FIG. 7, in operation 713, in one embodiment of the present disclosure, the processor (450) obtains a second blood pressure (e.g., P to be obtained at the next blood pressure measurement) based on the vascular characteristic value. PWA ) for correcting the blood pressure correction value (hereinafter referred to as “blood pressure correction value”) (e.g., P in [Mathematical Formula 5] and [Mathematical Formula 7] cal ) can be obtained. Hereinafter, with reference to FIG. 12, an operation for obtaining a blood pressure correction value based on a blood vessel characteristic value will be described.

[0210] FIG. 12 is a diagram illustrating a method for obtaining a blood pressure correction value based on a blood vessel characteristic value according to one embodiment of the present disclosure.

[0211] Referring to FIG. 12, in one embodiment of the present disclosure, the processor (450) may obtain a blood pressure correction value based on a blood vessel characteristic value and a correlation between the blood vessel characteristic value and the blood pressure correction value. For example, the processor (450) may obtain a blood pressure correction value based on a blood vessel characteristic value, utilizing the correlation between the blood vessel characteristic value and the blood pressure correction value.

[0212] In one embodiment of the present disclosure, the correlation between the vascular characteristic value and the blood pressure correction value is β and P of [Mathematical Formula 7] cal Relationships (e.g. β and P cal In one embodiment of the present disclosure, the correlation between the vascular characteristic value and the blood pressure correction value may be obtained in advance (e.g., before performing operation 701) based on data related to blood vessels collected from a plurality of users (e.g., a plurality of electronic devices corresponding to each of the plurality of users). An operation of obtaining the correlation between the vascular characteristic value and the blood pressure correction value will be described later with reference to FIG. 13.

[0213] In one embodiment of the present disclosure, in FIG. 12, the X-axis represents β and the Y-axis represents P cal In Fig. 12, each of the points (1231) represents data related to blood vessels collected from each of a plurality of users (e.g., a plurality of electronic devices corresponding to each of the plurality of users) as β and P. cal It can be a point expressed using . In Fig. 12, line (1220) is a correlation between vascular characteristic values ​​and blood pressure correction values, β and P cal It can represent a function that represents the relationship between the two.

[0214] In one embodiment of the present disclosure, in FIG. 12, line (1210) substitutes γ obtained through operation 711 into [Mathematical Formula 7] to obtain β and P calIt may be a linear line (e.g., a linear straight line) representing a relationship. For example, the Y-axis intercept of the linear equation represented by the line (1210) may be -γ and the slope may be 1.

[0215] In one embodiment of the present disclosure, the processor (450) can identify the intersection (1241) of lines (1210) and (1220). The processor (450) can convert the Y-axis value (Y1) of the intersection (1241) into a blood pressure correction value (P cal )(e.g. blood pressure correction value as a constant (P cal )) can be obtained as, but is not limited thereto. For example, the processor (450) determines the X-axis value (X1) of the intersection (1241) as β of [Mathematical Formula 7], and substitutes the determined β and γ obtained through operation 711 into [Mathematical Formula 7], thereby obtaining a blood pressure correction value (P cal ) can also be obtained.

[0216] In one embodiment of the present disclosure, the processor (450) provides a blood pressure correction value (P cal ) is performed at a specified cycle (e.g., once a week, once a month, once every three months), thereby obtaining a blood pressure correction value (P cal ) can be updated.

[0217] Referring again to 7, in one embodiment of the present disclosure, the processor (450) generates a blood pressure correction value (P) via operation 713. cal ) was obtained, the blood pressure correction value (P cal ) can be used to obtain blood pressure (e.g., a third blood pressure to be provided to the user). For example, the processor (450) may obtain a blood pressure correction value (P cal) is obtained, the first PPG signal and / or the second PPG signal can be received from the first wearable device (501) and / or the second wearable device (601) through the communication circuit by performing substantially the same operation as described through operation 701. The processor (450) can, by performing substantially the same operation as described through operation 709, use the PWA method to determine the first blood pressure (P PWA ) can be obtained. The processor (450) obtains the first blood pressure (P PWA ) and blood pressure correction value (P cal ) based on (e.g., first blood pressure (P PWA ) and blood pressure correction value (P cal ) can be combined to obtain a second blood pressure to be provided to the user.

[0218] However, the method for obtaining the second blood pressure is not limited to the above-described example. In one embodiment of the present disclosure, the processor (450) can obtain α and β as blood vessel characteristic values ​​related to the blood vessel by performing the above-described operations. After obtaining α and β, the processor (450) can obtain PWV by performing operations 701 to 707. The processor (450) can obtain the second blood pressure to be provided to the user by substituting α, β, and PWV into [Mathematical Formula 4].

[0219] FIG. 13 is a flowchart (1300) for explaining a method for obtaining a correlation between a vascular characteristic value and a blood pressure correction value according to one embodiment of the present disclosure.

[0220] Referring to FIG. 13, in one embodiment of the present disclosure, the operations of FIG. 13 may be performed in a server (e.g., server (108)). However, the present invention is not limited thereto, and at least some of the operations of FIG. 13 may be performed in an electronic device (401).

[0221] In operation 1301, in one embodiment of the present disclosure, the server receives, from each of a plurality of electronic devices (e.g., a plurality of electronic devices corresponding to each of a plurality of users) (hereinafter referred to as “the plurality of electronic devices”), PWV and P PWA A pair of, and a reference blood pressure can be obtained (e.g., received).

[0222] In one embodiment of the present disclosure, each of a plurality of electronic devices (hereinafter referred to as “electronic devices”) uses a first wearable device (e.g., a smart watch) and a second wearable device (e.g., a smart ring) wirelessly connected to the electronic device to perform PWV and P PWA A pair of electronic devices can be used to obtain a reference blood pressure (e.g., blood pressure measured using a blood pressure monitor (e.g., a blood pressure monitor using a cuff)) (hereinafter referred to as "reference blood pressure"). For example, the plurality of electronic devices can include a first electronic device and a second electronic device. The first electronic device can obtain the first PWV and P by performing operations 701 to 709 of the above-described FIG. 7 PWA Pairs (e.g., multiple first PWV and P PWA pairs) and obtain the first reference blood pressure (e.g., first PWV and P) measured using a sphygmomanometer. PWA The second electronic device can obtain the second PWV and P by performing operations 701 to 709 of the above-described FIG. 7. PWA Pairs (e.g., multiple second PWV and P PWA pairs) and obtain a second reference blood pressure (e.g., second PWV and P) measured using a sphygmomanometer. PWA You can obtain blood pressure measured using a blood pressure monitor within a specified time before / after the time of pair acquisition.

[0223] In one embodiment of the present disclosure, the server receives PWV and P from each of a plurality of electronic devices through a communication circuit (e.g., a communication circuit of the server). PWAPairs (e.g. 1st PWV and P PWA Pair and 2nd PWV and P PWA (pair) and reference blood pressure (e.g., first reference blood pressure and second reference blood pressure).

[0224] In operation 1303, in one embodiment of the present disclosure, the server obtains PWV and P from a plurality of electronic devices. PWA Based on the pairs and reference blood pressures, vascular characteristic values ​​can be obtained.

[0225] In one embodiment of the present disclosure, the server, for each of a plurality of electronic devices (or a plurality of users), obtains PWV and P from the electronic devices. PWA By performing regression analysis using pairs, PWV 2 and P PWA Inter-correlation (e.g. PWV 2 and P PWA The server can calculate the PWV calculated for each of multiple electronic devices (or multiple users). 2 and P PWA From the inter-correlation relationship, vascular characteristic values ​​(e.g., α and / or γ in [Equation 6] and [Equation 7]) can be derived.

[0226] For example, the server may, for a first electronic device (or a first user of the first electronic device), obtain a plurality of PWVs and Ps obtained from the first electronic device. PWA By performing regression analysis using pairs, PWV 2 and P PWA First order correlations (e.g. PWV) 2 and P PWAThe server can calculate a vascular characteristic value (e.g., α and / or γ of [Mathematical Formula 6] and [Mathematical Formula 7]) based on the first correlation for the first electronic device (or the first user). The server can calculate, for the second electronic device (or the second user of the second electronic device), a plurality of PWV and P obtained from the second electronic device. PWA By performing regression analysis using pairs, PWV 2 and P PWA Secondary correlates of liver function (e.g. PWV) 2 and P PWA The server can calculate a blood vessel characteristic value (e.g., α and / or γ in [Mathematical Formula 6] and [Mathematical Formula 7]) based on the second correlation for the second electronic device (or the second user).

[0227] In one embodiment of the present disclosure, the server, for each of a plurality of electronic devices (or a plurality of users), P PWA And based on the reference blood pressure, the blood pressure correction value (e.g. P in [Equation 7]) cal ) can be produced. For example, the server, for the first electronic device, P PWA (e.g. P received from the first electronic device PWA ) by subtracting the first reference blood pressure from the first blood pressure correction value. The server, for the second electronic device, P PWA (e.g. P received from a second electronic device PWA ) by subtracting the second reference blood pressure from the second blood pressure correction value.

[0228] In one embodiment of the present disclosure, the server, for each of a plurality of electronic devices (or a plurality of users), provides a vascular characteristic value (e.g., γ in [Equation 6] and [Equation 7]) and a blood pressure correction value (e.g., P in [Equation 7]). cal), the vascular characteristic value (e.g., β in [Equation 7]) can be calculated. For example, the server can calculate, for the first electronic device, the vascular characteristic value (e.g., γ in [Equation 6] and [Equation 7]) and the first blood pressure correction value (P cal ) into [Mathematical Formula 6], the vascular characteristic value (e.g., β in [Mathematical Formula 7]) can be calculated. For example, the server can calculate the vascular characteristic value (e.g., γ in [Mathematical Formula 6] and [Mathematical Formula 7]) and the second blood pressure correction value (P) for the second electronic device. cal ) into [Mathematical Formula 6], the vascular characteristic value (e.g., β in [Mathematical Formula 7]) can be calculated.

[0229] In operation 1305, in one embodiment of the present disclosure, the server may obtain a correlation between the vascular characteristic value and the blood pressure correction value based on the vascular characteristic value and the blood pressure correction value.

[0230] In one embodiment of the present disclosure, the server performs operation 1303 to generate a plurality of blood vessel characteristic values ​​(e.g., a plurality of βs) and a plurality of blood pressure correction values ​​(e.g., P) corresponding to each of the plurality of electronic devices. cal ) can be obtained. For example, the server, by performing operation 1303, obtains, for the first electronic device, a first blood pressure correction value (P cal ) and blood vessel characteristic values ​​(e.g., β in [Mathematical Formula 7]) can be obtained. The server, by performing operation 1303, obtains a second blood pressure correction value (P ) for the second electronic device. cal ) and blood vessel characteristic values ​​(e.g., β in [Mathematical Formula 7]) can be obtained.

[0231] In one embodiment of the present disclosure, the server receives a plurality of blood vessel characteristic values ​​(e.g., a plurality of βs) and a plurality of blood pressure correction values ​​(e.g., P cal By performing regression analysis on the vascular characteristic values ​​(β) and blood pressure correction values ​​(P cal) correlation (e.g., a formula or function representing the correlation) (e.g., P cal = f(β)) can be calculated.

[0232] In one embodiment of the present disclosure, the server provides a vascular characteristic value (β) and a blood pressure correction value (P cal ) After the correlation between the two was calculated, the calculated vascular characteristic value (β) and blood pressure correction value (P cal ) can transmit the correlation between the blood vessel characteristic value (β) and the blood pressure correction value (P) to an electronic device (e.g., electronic device (401)). The electronic device (e.g., electronic device (401)) transmits the blood vessel characteristic value (β) and the blood pressure correction value (P) through a communication circuit. cal ) by receiving the correlation between the vascular characteristic value (β) and the blood pressure correction value (P cal ) can obtain the correlation between the vascular characteristic value (β) and the blood pressure correction value (P cal ) After the correlation is obtained, the operations of Fig. 7 can be performed.

[0233] Although FIG. 13 illustrates the server performing operations 1301 to 1305, the present invention is not limited thereto. For example, the electronic device (401) may perform at least some of operations 1301 to 1305.

[0234] An electronic device (401) according to one embodiment may include a communication circuit (410) and at least one processor (450). The at least one processor (450) may be configured to receive a first PPG signal acquired by the first wearable device (501) from a first wearable device (501) and a second PPG signal from a second wearable device (601) through the communication circuit (410). The first wearable device (501) may be worn at a first location of the user, and the second wearable device (601) may be worn at a second location of the user. The at least one processor (450) may be configured to obtain a pulse transit time (PTT) for a pulse wave to be transmitted from the first location to the second location based on the first PPG signal and the second PPG signal. The at least one processor (450) may be configured to obtain a distance between the first wearable device (501) and the second wearable device (601). The at least one processor (450) may be configured to obtain a pulse wave velocity (PWV) at which the pulse wave is transmitted based on the distance and the PTT. The at least one processor (450) may be configured to obtain a first blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal. The at least one processor (450) may be configured to obtain a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure. The at least one processor (450) may be configured to obtain a blood pressure correction value for correcting a second blood pressure to be obtained based on the blood vessel characteristic value.

[0235] In one embodiment of the present disclosure, the at least one processor (450) may be configured to transmit time information through the communication circuit (410) so that the first wearable device (501) and the second wearable device (601) are synchronized.

[0236] In one embodiment of the present disclosure, the at least one processor (450) may be configured to obtain a PTT in which a pulse wave is transmitted from the first location to the second location based on times of corresponding feature points in the first PPG signal and the second PPG signal.

[0237] In one embodiment of the present disclosure, the electronic device (401) may further include a camera (430). The at least one processor (450) may be configured to transmit, via the communication circuit (410), a signal to the first wearable device (501) to display an object having a specified length. The at least one processor (450) may be configured to acquire images of the first wearable device (501) and the second wearable device (601) via the camera (430) while the first wearable device (501) displays the object. The at least one processor (450) may be configured to obtain a first length of a portion representing the object within the image, and a first distance between a portion representing the first wearable device (501) within the image and a portion representing the second wearable device (601). The at least one processor (450) may be configured to obtain a distance between the first wearable device (501) and the second wearable device (601) based on the specified length of the object, the first length, and the first distance.

[0238] In one embodiment of the present disclosure, the at least one processor (450) may be configured to obtain a distance between the first wearable device (501) and the second wearable device (601) based on a transmission / reception time of an inaudible sound wave between the first wearable device (501) and the second wearable device (601) and a speed of the inaudible sound wave.

[0239] In one embodiment of the present disclosure, the at least one processor (450) uses the PWV blood pressure model and the PWA blood pressure model to 2 , the first blood pressure, and PWV 2 And it can be configured to obtain a first mathematical equation including a first vascular characteristic value and a second vascular characteristic value representing a correlation between the first blood pressure, and obtain a second mathematical equation representing a relationship between the second vascular characteristic value, the third vascular characteristic value, and the blood pressure correction value.

[0240] In one embodiment of the present disclosure, the at least one processor (450) may be configured to acquire a plurality of PWVs and a plurality of first blood pressures corresponding to the plurality of PWVs during a specified period of time. The at least one processor (450) may be configured to acquire the first blood vessel characteristic value and the second blood vessel characteristic value using regression analysis based on the plurality of PWVs and the plurality of first blood pressures.

[0241] In one embodiment of the present disclosure, the at least one processor (450) may be configured to obtain the blood pressure correction value by using the correlation between the second mathematical expression, the third blood vessel characteristic value, and the blood pressure correction value.

[0242] In one embodiment of the present disclosure, the at least one processor (450) may be configured to obtain a second blood pressure using a PWA method based on a PPG signal obtained from the first wearable device (501) or the second wearable device (601) after obtaining the blood pressure correction value. The at least one processor (450) may be configured to obtain the third blood pressure by adding the blood pressure correction value to the obtained second blood pressure.

[0243] In one embodiment of the present disclosure, the electronic device (401) may include a smart phone, the first wearable device (501) may include a smart watch, and the second wearable device (601) may include a smart ring.

[0244] A method for measuring blood pressure in an electronic device (401) according to one embodiment may include an operation of receiving a first PPG signal acquired by the first wearable device (501) from the first wearable device (501) and a second PPG signal from the second wearable device (601) through a communication circuit (410) of the electronic device (401). The first wearable device (501) may be worn at a first location of the user and the second wearable device (601) may be worn at a second location of the user. The method may include an operation of obtaining a pulse transit time (PTT) for transmitting a pulse wave from the first location to the second location based on the first PPG signal and the second PPG signal. The method may include an operation of obtaining a distance between the first wearable device (501) and the second wearable device (601). The method may include an operation of obtaining a pulse wave velocity (PWV) at which the pulse wave is transmitted based on the distance and the PTT. The method may include an operation of obtaining a first blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal. The method may include an operation of obtaining a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure. The method may include an operation of obtaining a blood pressure correction value for correcting the second blood pressure to be obtained based on the blood vessel characteristic value.

[0245] In one embodiment of the present disclosure, the method may further include an operation of transmitting time information through the communication circuit (410) so that the first wearable device (501) and the second wearable device (601) are synchronized.

[0246] In one embodiment of the present disclosure, the operation of obtaining the PTT may include an operation of obtaining the PTT in which a pulse wave is transmitted from the first location to the second location based on times of corresponding feature points in the first PPG signal and the second PPG signal.

[0247] In one embodiment of the present disclosure, the operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) may include an operation of transmitting, to the first wearable device (501), a signal that causes the first wearable device (501) to display an object having a specified length, via the communication circuit (410). The operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) may include an operation of obtaining images of the first wearable device (501) and the second wearable device (601) via the camera (430) of the electronic device (401) while the first wearable device (501) displays the object. The operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) may include an operation of obtaining a first length of a portion representing the object in the image, and a first distance between a portion representing the first wearable device (501) and a portion representing the second wearable device (601) in the image. The operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) may include an operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) based on the specified length of the object, the first length, and the first distance.

[0248] In one embodiment of the present disclosure, the operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) may include the operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) based on the transmission / reception time of the inaudible sound wave between the first wearable device (501) and the second wearable device (601) and the speed of the inaudible sound wave.

[0249] In one embodiment of the present disclosure, the operation of obtaining a blood vessel characteristic value related to the characteristic of the blood vessel based on the PWV and the first blood pressure is performed using a PWV blood pressure model and a PWA blood pressure model. 2 , the first blood pressure, and the PWV 2 And it may include an operation of obtaining a first mathematical equation including a first vascular characteristic value and a second vascular characteristic value representing a correlation between the first blood pressure, and obtaining a second mathematical equation representing a relationship between the second vascular characteristic value, the third vascular characteristic value, and the blood pressure correction value.

[0250] In one embodiment of the present disclosure, the operation of obtaining a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure may include an operation of obtaining a plurality of PWVs and a plurality of first blood pressures corresponding to the plurality of PWVs during a specified period of time. The operation of obtaining a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure may include an operation of obtaining the first blood vessel characteristic value and the second blood vessel characteristic value using regression analysis based on the plurality of PWVs and the plurality of first blood pressures.

[0251] In one embodiment of the present disclosure, the operation of obtaining the blood pressure correction value may include an operation of obtaining the blood pressure correction value by using the second mathematical expression, the correlation between the third blood vessel characteristic value, and the blood pressure correction value.

[0252] In one embodiment of the present disclosure, the method may further include an operation of obtaining a second blood pressure using a PWA method based on a PPG signal obtained from the first wearable device (501) or the second wearable device (601) after obtaining the blood pressure correction value. The method may further include an operation of obtaining the third blood pressure by adding the blood pressure correction value to the obtained second blood pressure.

[0253] In one embodiment of the present disclosure, a non-transitory computer-readable medium having computer-executable instructions recorded thereon may cause the computer-executable instructions, when executed by at least one processor (450) of an electronic device (401), to cause the electronic device (401) to receive a first PPG signal acquired by the first wearable device (501) from a first wearable device (501) and to receive a second PPG signal from a second wearable device (601) through a communication circuit (410) of the electronic device (401). The first wearable device (501) may be worn at a first location of a user, and the second wearable device (601) may be worn at a second location of the user. The computer-executable instructions, when executed by at least one processor (450) of the electronic device (401), may cause the electronic device (401) to obtain a pulse transit time (PTT) for a pulse wave to be transmitted from the first location to the second location based on the first PPG signal and the second PPG signal. The computer-executable instructions, when executed by at least one processor (450) of the electronic device (401), may cause the electronic device (401) to obtain a distance between the first wearable device (501) and the second wearable device (601). The computer-executable instructions, when executed by at least one processor (450) of the electronic device (401), may cause the electronic device (401) to obtain a pulse wave velocity (PWV) for a pulse wave to be transmitted based on the distance and the PTT.The computer-executable instructions, when executed by at least one processor (450) of the electronic device (401), may cause the electronic device (401) to obtain a first blood pressure using a pulse wave analysis (PWA) method based on the first PPG signal and / or the second PPG signal. The computer-executable instructions, when executed by at least one processor (450) of the electronic device (401), may cause the electronic device (401) to obtain a blood vessel characteristic value related to a characteristic of a blood vessel based on the PWV and the first blood pressure. The computer-executable instructions, when executed by at least one processor (450) of the electronic device (401), may cause the electronic device (401) to obtain a blood pressure correction value for correcting a second blood pressure to be obtained based on the blood vessel characteristic value.

[0254] Additionally, the structure of the data used in the embodiments of the present document described above can be recorded on a computer-readable recording medium through various means. The computer-readable recording medium includes storage media such as magnetic storage media (e.g., ROM, floppy disk, hard disk, etc.) and optical reading media (e.g., CD-ROM, DVD, etc.).

Claims

1. In the electronic device (401), Communication circuit (410); and comprising at least one processor (450), At least one processor (450) above: Through the above communication circuit (410), a first PPG (photoplethysmography) signal acquired by the first wearable device (501) is received from the first wearable device (501), and a second PPG signal is received from the second wearable device (601), wherein the first wearable device (501) is worn at a first location of the user and the second wearable device (601) is worn at a second location of the user, Based on the first PPG signal and the second PPG signal, a pulse transit time (PTT) for transmitting a pulse wave from the first location to the second location is obtained, Obtaining the distance between the first wearable device (501) and the second wearable device (601), Based on the above distance and the PTT, the pulse wave velocity (PWV) at which the pulse wave is transmitted is obtained, Based on the first PPG signal and / or the second PPG signal, a first blood pressure is obtained using a PWA (pulse wave analysis) method, Based on the above PWV and the first blood pressure, a blood vessel characteristic value related to the characteristics of the blood vessel is obtained, and An electronic device (401) configured to obtain a blood pressure correction value for correcting a second blood pressure to be obtained based on the above blood vessel characteristic value.

2. In paragraph 1, At least one processor (450) above, An electronic device (401) configured to transmit time information so that the first wearable device (501) and the second wearable device (601) are synchronized through the communication circuit (410).

3. In paragraph 1 or 2, At least one processor (450) above, An electronic device (401) configured to obtain a PTT in which a pulse wave is transmitted from the first location to the second location based on the times of corresponding feature points in the first PPG signal and the second PPG signal.

4. In any one of paragraphs 1 to 3, Including a camera (430), At least one processor (450) above, Through the above communication circuit (410), a signal is transmitted to the first wearable device (501) to cause the first wearable device (501) to display an object having a specified length, While the first wearable device (501) displays the object, images of the first wearable device (501) and the second wearable device (601) are acquired through the camera (430), Obtaining a first length of a portion representing the object within the image, a first distance between a portion representing the first wearable device (501) within the image and a portion representing the second wearable device (601), and An electronic device (401) configured to obtain a distance between the first wearable device (501) and the second wearable device (601) based on the specified length of the object, the first length, and the first distance.

5. In any one of paragraphs 1 to 4, At least one processor (450) above, An electronic device (401) configured to obtain a distance between the first wearable device (501) and the second wearable device (601) based on the transmission / reception time of the inaudible sound wave between the first wearable device (501) and the second wearable device (601) and the speed of the inaudible sound wave.

6. In any one of paragraphs 1 to 5, At least one processor (450) above, Using the PWV blood pressure model and PWA blood pressure model, PWV 2 , the first blood pressure, and the PWV 2 An electronic device (401) configured to obtain a first mathematical equation including a first vascular characteristic value and a second vascular characteristic value representing a correlation between the first blood pressure, and to obtain a second mathematical equation representing a relationship between the second vascular characteristic value, the third vascular characteristic value, and the blood pressure correction value.

7. In paragraph 6, At least one processor (450) above, During a specified period of time, a plurality of PWVs and a plurality of first blood pressures corresponding to the plurality of PWVs are obtained, and An electronic device (401) configured to obtain the first blood vessel characteristic value and the second blood vessel characteristic value using regression analysis based on the plurality of PWVs and the plurality of first blood pressures.

8. In paragraph 7, At least one processor (450) above, An electronic device (401) configured to obtain the blood pressure correction value by using the correlation between the second mathematical expression, the third blood vessel characteristic value, and the blood pressure correction value.

9. In paragraph 8, At least one processor (450) above, After obtaining the above blood pressure correction value, the second blood pressure is obtained using the PWA method based on the PPG signal obtained from the first wearable device (501) or the second wearable device (601), and An electronic device (401) configured to obtain the third blood pressure by adding the blood pressure correction value to the obtained second blood pressure.

10. In any one of paragraphs 1 to 9, The above electronic device (401) includes a smart phone, The first wearable device (501) includes a smart watch, and The second wearable device (601) is an electronic device (401) including a smart ring.

11. In a method for providing blood pressure in an electronic device (401), An operation of receiving a first PPG signal acquired by the first wearable device (501) from the first wearable device (501) and receiving a second PPG signal from the second wearable device (601) through a communication circuit (410) of the electronic device (401) - the first wearable device (501) is worn at a first location of the user and the second wearable device (601) is worn at a second location of the user; An operation of obtaining a pulse transit time (PTT) for transmitting a pulse wave from the first location to the second location based on the first PPG signal and the second PPG signal; An operation of obtaining a distance between the first wearable device (501) and the second wearable device (601); An operation of obtaining a pulse wave velocity (PWV) at which the pulse wave is transmitted based on the distance and the PTT; An operation of obtaining a first blood pressure using a PWA (pulse wave analysis) method based on the first PPG signal and / or the second PPG signal; An operation of obtaining a blood vessel characteristic value related to a blood vessel characteristic based on the PWV and the first blood pressure; and A method comprising an operation of obtaining a blood pressure correction value for correcting a second blood pressure to be obtained based on the above blood vessel characteristic value.

12. In paragraph 11, A method further comprising an operation of transmitting time information through the communication circuit (410) so that the first wearable device (501) and the second wearable device (601) are synchronized.

13. In paragraph 11 or 12, The action of obtaining the above PTT is: A method comprising an operation of obtaining the PTT in which a pulse wave is transmitted from the first location to the second location based on the times of corresponding feature points in the first PPG signal and the second PPG signal.

14. In any one of paragraphs 11 to 13, The operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) is as follows: An operation of transmitting a signal to the first wearable device (501) through the communication circuit (410) to cause the first wearable device (501) to display an object having a specified length; An operation of acquiring images of the first wearable device (501) and the second wearable device (601) through the camera (430) of the electronic device (401) while the first wearable device (501) displays the object; An operation of obtaining a first length of a portion representing the object within the image, and a first distance between a portion representing the first wearable device (501) within the image and a portion representing the second wearable device (601); and A method comprising an operation of obtaining a distance between the first wearable device (501) and the second wearable device (601) based on the specified length of the object, the first length, and the first distance.

15. In any one of paragraphs 11 to 14, The operation of obtaining the distance between the first wearable device (501) and the second wearable device (601) is as follows: A method including an operation of obtaining a distance between the first wearable device (501) and the second wearable device (601) based on the transmission and reception time of the inaudible sound wave between the first wearable device (501) and the second wearable device (601) and the speed of the inaudible sound wave.

Images