Patent Description:
Recently, electronic devices including a sensor capable of measuring the user's biometric information have been developed. The user may measure her body-related information using an electronic device and grasp her body conditions.

The electronic device may measure various types of biometric information, such as the user's heart rate, oxygen saturation, stress, and/or blood pressure, by means of a sensor. For example, the electronic device may sense a change in the flow of blood in the blood of the user's body portion, using a sensor. The electronic device may measure the user's various biometric information using the sensing information obtained through the sensor. For example, wearable electronic devices may continuously measure various types of biometric information about the user using sensing information obtained through a sensor in a state worn by the user. Relevant prior art is disclosed in <CIT>, <CIT>, <CIT> and <CIT>.

The user who requires continuous monitoring of blood pressure in daily life may continuously measure blood pressure during activity using <NUM>-hour ambulatory blood pressure monitoring (ABPM). However, the <NUM>-hour ABPM may cause inconvenient to the user because the user needs to carry it with the cuff worn around the upper arm.

In everyday life, a wearable electronic device, such as a smart watch, may continuously measure the user's blood pressure while being worn by the user. In this case, the wearable electronic device may recognize the user's posture and may measure blood pressure using calibration suited for the user's posture. To this end, the wearable electronic device may request the user to update and/or add data for calibration at regular intervals. If data for calibration is not updated and/or added at regular intervals, the accuracy of the calibration suitable for the user's posture may decrease, and so may the accuracy of the measured blood pressure. In other words, since the wearable electronic device needs to obtain biometric signals for blood pressure measurement in various postures to update and/or add data for calibration at regular intervals, convenience and usability may deteriorate.

According to various embodiments of the present invention, there may be provided a method capable of increasing the accuracy of blood pressure measurement and usability by estimating data for calibration in a posture using a biometric signal measured in another posture, using data in various postures, obtained during a predetermined period when updating the data for calibration of a biometric signal (e.g., blood pressure value) according to the user's posture.

According to various embodiments, a wearable electronic device may comprise a memory, a first sensor, a second sensor, and a processor. The processor may be configured to, obtain a user's first biometric signal in a user's first posture through the first sensor, obtain, from an external electronic device, information about a user's first blood pressure value measured by the external electronic device in the first posture, obtain first calibration information for quantifying first blood pressure information measured in the first posture, based on information about features of the first biometric signal and the first blood pressure value, identify whether calibration data sets for a plurality of postures of the user, pre-stored in the memory, meet a specific condition for estimating second calibration information for quantifying second blood pressure information measured in the user's second posture, and when the calibration data sets meet the specific condition, estimate the second calibration information based on the calibration data sets and the first calibration information.

According to various embodiments, a method for operating a wearable electronic device may comprise, obtaining a user's first biometric signal in a user's first posture through a first sensor included in the wearable electronic device, obtaining, from an external electronic device, information about a user's first blood pressure value measured by the external electronic device in the first posture, obtaining first calibration information for quantifying first blood pressure information measured in the first posture, based on information about features of the first biometric signal and the first blood pressure value, identifying whether calibration data sets for a plurality of postures of the user, pre-stored in the electronic device, meet a specific condition for estimating second calibration information for quantifying second blood pressure information measured in a user's second posture, and when the calibration data sets meet the specific condition, estimating the second calibration information based on the calibration data sets and the first calibration information.

According to various embodiments, an electronic device may comprise a memory, a communication module, and a processor. The processor may be configured to obtain information about a user's first biometric signal measured in a user's first posture from a wearable electronic device, through the communication module, obtain, from the external electronic device, information about the user's first blood pressure value measured by the external electronic device in the first posture, through the communication module, obtain first calibration information for quantifying first blood pressure information measured in the first posture, based on information about features of the first biometric signal and the first blood pressure value, identify whether calibration data sets for a plurality of postures of the user, pre-stored in the memory, meet a specific condition for estimating second calibration information for quantifying second blood pressure information measured in a user's second posture, and when the calibration data sets meet the specific condition, estimate the second calibration information based on the calibration data sets and the first calibration information.

According to various embodiments, a wearable electronic device may estimate data for calibration in a posture using a biometric signal measured in another posture, using data in various postures, obtained during a predetermined period when updating the data for calibration of a biometric signal (e.g., blood pressure value) according to the user's posture, thereby increasing the accuracy of blood pressure measurement and usability.

Referring to <FIG>, the electronic device <NUM> in the network environment <NUM> may communicate with at least one of an electronic device <NUM> via a first network <NUM> (e.g., a short-range wireless communication network), or an electronic device <NUM> or a server <NUM> via a second network <NUM> (e.g., a long-range wireless communication network). According to an embodiment, the electronic device <NUM> may include a processor <NUM>, memory <NUM>, an input module <NUM>, a sound output module <NUM>, a display module <NUM>, an audio module <NUM>, a sensor module <NUM>, an interface <NUM>, a connecting terminal <NUM>, a haptic module <NUM>, a camera module <NUM>, a power management module <NUM>, a battery <NUM>, a communication module <NUM>, a subscriber identification module (SIM) <NUM>, or an antenna module <NUM>. In some embodiments, at least one (e.g., the connecting terminal <NUM>) of the components may be omitted from the electronic device <NUM>, or one or more other components may be added in the electronic device <NUM>. According to an embodiment, some (e.g., the sensor module <NUM>, the camera module <NUM>, or the antenna module <NUM>) of the components may be integrated into a single component (e.g., the display module <NUM>).

For example, when the electronic device <NUM> includes the main processor <NUM> and the auxiliary processor <NUM>, the auxiliary processor <NUM> may be configured to use lower power than the main processor <NUM> or to be specified for a designated function.

The term "processor" shall be understood to refer to both the singular and plural contexts in this document.

The display <NUM> may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display <NUM> 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.

A corresponding one of these communication modules may communicate with the external electronic device <NUM> via a first network <NUM> (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or a second network <NUM> (e.g., a long-range communication network, such as a legacy cellular network, a <NUM> network, a next-generation communication network, the Internet, or a computer network (e.g., local area network (LAN) or wide area network (WAN)). The wireless communication module <NUM> may identify or authenticate the electronic device <NUM> in a communication network, such as the first network <NUM> or the second network <NUM>, using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module <NUM>.

The antenna module <NUM> may transmit or receive a signal or power to or from the outside (e.g., the external electronic device). According to an embodiment, the antenna module <NUM> may include one antenna including a radiator formed of a conductor or conductive pattern formed on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, the antenna module <NUM> may include a plurality of antennas (e.g., an antenna array). In this case, at least one antenna appropriate for a communication scheme used in a communication network, such as the first network <NUM> or the second network <NUM>, may be selected from the plurality of antennas by, e.g., the communication module <NUM>. According to an embodiment, other parts (e.g., radio frequency integrated circuit (RFIC)) than the radiator may be further formed as part of the antenna module <NUM>.

The external electronic devices <NUM> or <NUM> each may be a device of the same or a different type from the electronic device <NUM>. The electronic device <NUM> may be applied to intelligent services (e.g., smart home, smart city, smart car, or health-care) based on <NUM> communication technology or IoT-related technology.

The electronic device according to various embodiments of the disclosure may be one of various types of electronic devices.

It should be appreciated that various embodiments of the present disclosure and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes or replacements for a corresponding embodiment.

Some of the plurality of entities may be separately disposed in different components.

The electronic device <NUM> can measure the user's blood pressure (and other biometric data) using sensor modules <NUM>. In particular, a wearable electronic device <NUM>, such as a smartwatch can continuously measure the user's blood pressure.

However, a user's blood pressure can vary based on their posture. Typically, the baseline blood pressure is to be taken in the seated position. If the user is standing, the measured blood pressure changes are result of the user's posture. Nevertheless, the measured blood pressure of the user when standing or in another position can be adjusted with calibration information associated with the user's posture.

Calibration information is associated with a posture, and can be used to adjust a blood pressure reading of a user in the position, to make the reading comparable to, for example, a blood pressure reading in the seated position. Accordingly, the memory <NUM> can store calibration information for various common user postures. The sensor module <NUM> can measure the user's blood pressure.

<FIG> is a block diagram illustrating a schematic configuration of a wearable electronic device according to various embodiments.

Referring to <FIG>, a wearable electronic device <NUM> (e.g., the electronic device <NUM> of <FIG>) may include a processor <NUM>, a memory <NUM>, a first sensor <NUM>, a second sensor <NUM>, a display <NUM>, and/or a communication module <NUM>. For example, the wearable electronic device <NUM> may be implemented in a form wearable on the user, such as a smart watch, a smart band, a smart ring, a wireless earphone, or smart glasses.

According to various embodiments, the processor <NUM> (e.g., the processor <NUM> of <FIG>) may control the overall operation of the wearable electronic device <NUM>.

According to various embodiments, the processor <NUM> may obtain the user's biometric signal through the first sensor <NUM>. The processor <NUM> may obtain or measure the user's blood pressure value based on the biometric signal. The processor <NUM> may display information about the user's blood pressure value on the display <NUM> (e.g., the display module <NUM> of <FIG>). For example, the first sensor <NUM> (e.g., the sensor module <NUM> of <FIG>) may include a Photoplethysmogram (PPG) sensor, and the biometric signal may include a PPG signal. For example, the first sensor <NUM> may radiate an optical signal to the user's body portion (e.g., a blood vessel positioned on a finger or wrist or a radial artery below the wrist) using a plurality of light emitting elements capable of emitting different wavelengths of light, accumulate the optical charge corresponding to the amount of the light reflected through, or transmitted through a plurality of light receiving elements, and convert the biometric signal, in analog current form according to the accumulated optical charge into a digital signal. As another example, the first sensor <NUM> may include a plurality of electrodes. The electrode may be in direct contact with the user's skin and may be used to sense or detect the voltage corresponding to the electrical resistance or the voltage corresponding to electrical conductance. The electrode may measure an analog biometric signal (e.g., BIA signal or ECG signal) and convert the measured analog signal into a digital signal. The first sensor <NUM> may operate to obtain at least two or more biometric information among a plurality of biometric information, e.g., heart rate, blood oxygen saturation, BIA signal, ECG signal, and blood pressure. For example, the sensor module may operate such that the heart rate, blood oxygen saturation, and BIA signal are simultaneously obtained. According to an embodiment, the first sensor <NUM> may include a laser diode (LD) and an image sensor.

According to various embodiments, the processor <NUM> may identify the user's posture through the second sensor <NUM> (e.g., the sensor module <NUM> of <FIG>). For example, the processor <NUM> may measure, through the second sensor <NUM>, the signal corresponding to a movement of the user wearing the wearable electronic device <NUM> when a biometric signal is obtained through the first sensor <NUM> and may identify the user's posture based on the signal corresponding to the movement. For example, the second sensor <NUM> may include at least one of a motion sensor, a gyro sensor, an acceleration sensor, a gravity sensor (or a geomagnetic sensor), or a barometer sensor. Without being limited thereto, the second sensor <NUM> may include various types of sensors capable of detecting the posture (or movement) of the user wearing the wearable electronic device <NUM>. According to an embodiment, the processor <NUM> may identify the user's posture based on identifying the air pressure (e.g., air pressure gradient and air pressure peak-to-peak (P2P) value) of the air pressure sensor according to a change in the displacement of the wearable electronic device <NUM> and/or acceleration information (e.g., the size on the three axes (e.g., x, y, and z axes) from the acceleration sensor. According to various embodiments, the processor <NUM> may identify the user's posture based on a combination of the data obtained from the first sensor <NUM> and/or the second sensor <NUM>.

According to various embodiments, the processor <NUM> may identify the user's posture when measuring blood pressure through the second sensor <NUM> and adjust the blood pressure value using pre-stored calibration information based on the user's posture. That is, the pre-stored calibration information can include calibration information corresponding to a number of possible user postures. The processor <NUM> can select the calibration data associated with the identified user's posture, and adjust the measured blood pressure with the first sensor <NUM> with the calibration data that is associated with the identified user's posture.

The blood pressure value measured by analyzing the biometric signal may differ from the actual blood pressure value according to the user's posture. The processor <NUM> may store, in the memory <NUM> (e.g., the memory <NUM> of <FIG>), calibration data sets measured in various postures (e.g., the first posture - for example, sitting on a chair, or the second posture - for example, standing, other examples, may include lying down, sitting on the floor) using the first sensor <NUM> and an external blood pressure monitor <NUM>. For example, the processor <NUM> may identify calibration information about the identified user posture among the calibration data sets stored in the memory <NUM> (e.g., the memory <NUM> of <FIG>) and measure the blood pressure value using the identified calibration information. The processor <NUM> may display information about the user's calibrated blood pressure value on the display <NUM>. Thus, the processor <NUM> may more precisely measure the blood pressure value by performing calibration suitable for the user's posture when continuously measuring the user's blood pressure.

According to various embodiments, the processor <NUM> may obtain calibration data sets based on the features of the biometric signal (the blood pressure signal as measured by the first sensor <NUM>) and the blood pressure values (e.g., the cuff blood pressure value measured through a cuff blood pressure monitor) according to the user's posture. For example, the calibration data set may include the features of the biometric signal obtained in the first posture at a designated time, the blood pressure value (e.g., cuff blood pressure value) at that time, features of the biometric signal obtained in the second posture, and the blood pressure value (e.g., cuff blood pressure value) at that time.

For example, the features of the biometric signal may be measured through the first sensor <NUM>, and the cuff blood pressure value may be measured by the external blood pressure monitor <NUM> (e.g., cuff blood pressure monitor) at proximate times, when the user is in the same posture. In other words, each of the calibration data sets may include information about the feature and blood pressure value (e.g., cuff blood pressure value) of the biometric signal obtained from each of the plurality of user postures at different times. For example, the calibration data sets may be obtained from an external electronic device <NUM> or generated by the wearable electronic device <NUM>. For example, the processor <NUM> may receive calibration data sets through the external electronic device <NUM> operatively connected with the electronic device. As another example, the processor <NUM> may receive pre-stored calibration data sets through a server connected on the same account.

The features can include, among other things, the peak level of waveform of a PPG signal, the time corresponding to each peak, the area of a PPG waveform, the ratio between features, and/or a combination thereof. According to various embodiments, the processor <NUM> may store a user's personal information (e.g., gender, age, height, weight, or information about the medicine the user is taking). For example, the processor <NUM> may measure the blood pressure value based on the user's personal information. According to an embodiment, if it is identified that a change in the user's personal information (e.g., weight or information about the medicine taken) stored in the memory <NUM> is a predetermined level or more, the processor <NUM> may guide the user to update the calibration data.

According to various embodiments, the processor <NUM> may store the calibration data sets in the memory <NUM>. The processor <NUM> may periodically update the data included in the calibration data sets. For example, the processor <NUM> may obtain the blood pressure value (e.g., cuff blood pressure value) from the external blood pressure monitor <NUM> while obtaining the biometric signal through the first sensor <NUM> in the user's first posture (e.g., lying posture) at a first time (e.g., the date the calibration data is measured).

Further, the processor <NUM> may obtain the biometric signal through the first sensor <NUM> in the user's second posture (e.g., sitting or standing posture) at the first time and obtain the blood pressure value (e.g., cuff blood pressure value) from the external blood pressure monitor <NUM>. The processor <NUM> may store the features of the biometric signal obtained in the first posture and blood pressure value (e.g., cuff blood pressure value) and the features of the biometric signal obtained in the second posture and blood pressure value (e.g., cuff blood pressure value), as a first calibration data set at the first time. For example, the processor <NUM> may obtain and store the first calibration data set, provided that the biometric signals and blood pressure values in the first and second posture are taken within a designated time (e.g., within a maximum of <NUM> minutes). For example, after the operation of obtaining the first calibration data set starts, the processor <NUM> may complete the acquisition and storage of the features of the biometric signal and blood pressure value (e.g., cuff blood pressure value) from each of the first posture and the second posture within the designated time. For example, after the operation of obtaining the first calibration data set starts, if the processor <NUM> fails to obtain the features of the biometric signal and blood pressure value (e.g., cuff blood pressure value) from each of the first posture and the second posture within the designated time, the processor <NUM> may display a message guiding the user to re-measure.

According to the same method, the processor <NUM> may store the second calibration data set at the second time different from the first time. For example, the processor <NUM> may obtain a blood pressure value from the external blood pressure monitor <NUM> while obtaining a biometric signal through the first sensor <NUM> in the user's first posture (e.g., lying posture) at the second time. The processor <NUM> may obtain the blood pressure value from the external blood pressure monitor <NUM> while obtaining the biometric signal through the first sensor <NUM> in the user's second posture (e.g., sitting or standing posture) at the second time. The processor <NUM> may store the features of the biometric signal obtained in the first posture and blood pressure value and the features of the biometric signal obtained in the second posture and blood pressure value, as a second calibration data set at the second time. For example, there may be a certain time interval between the first time and the second time. For example, the time interval may be a time interval of at least <NUM> minutes or more. For example, if the time interval between the first time and the second time is shorter than a designated time interval (e.g., <NUM> minutes), the processor <NUM> may determine that the features and blood pressure values (e.g., cuff blood pressure values) of the biometric signal measured at the first time and the second time are measured at the same time.

According to an embodiment, the processor <NUM> may periodically delete the data included in the calibration data sets. For example, the processor <NUM> may delete the calibration data sets stored in the memory for a certain period (e.g., <NUM> months or <NUM> months) or longer. For example, when the number of pre-stored calibration data sets is larger than or equal to a designated number, the processor <NUM> may delete the calibration data sets, sequentially from the first stored calibration data set.

However, since the biometric signal needs to be measured in a plurality of postures, every specific time for the wearable electronic device <NUM> to secure calibration data sets by the above-described method, usability may deteriorate. Thus, the processor <NUM> may estimate the features and blood pressure value of the biometric signal, obtainable in the second posture, based on the plurality of calibration data sets stored in the memory <NUM> and the features and blood pressure value (e.g., cuff blood pressure value) of the biometric signal obtained in the first posture.

According to various embodiments, the processor <NUM> may obtain the user's first biometric signal through the first sensor <NUM> and features of the first biometric signal, in the user's first posture at a specific time. The processor <NUM> may receive information about a first blood pressure value measured in the first posture at the specific time by the external blood pressure monitor <NUM>, from the external blood pressure monitor <NUM> through the communication module <NUM> (e.g., the communication module <NUM> of <FIG>). The processor <NUM> may receive, through the user's input, information about the first blood pressure value measured in the first posture at the specific time by the external blood pressure monitor <NUM>.

According to various embodiments, the processor <NUM> may obtain first calibration information about the user's first posture at the specific time, based on the features of the first biometric signal and the first blood pressure value. For example, the first calibration information may include information about the specific time, first posture (e.g., lying posture), first blood pressure value (e.g., cuff systolic blood pressure (SBP) and/or cuff diastolic blood pressure (DBP)) and the features of the first biometric signal (e.g., the peak value of the waveform of the PPG signal, the time corresponding to each peak, the area of the PPG waveform, and/or the ratio between features).

According to various embodiments, the processor <NUM> may obtain second calibration information about the second posture at the specific time, based on the features of the first biometric signal and calibration data sets for the plurality of user postures pre-stored in the memory <NUM>. For example, the second calibration information may include information about the features and blood pressure values (e.g., cuff blood pressure values) of the biometric signals measurable in the user's second posture at the specific time. For example, the second calibration information may include information about the specific time, second posture (e.g., sitting or standing posture), second blood pressure value (e.g., cuff systolic blood pressure (SBP) and/or cuff diastolic blood pressure (DBP)) and the features of the second biometric signal (e.g., the peak value of the waveform of the PPG signal, the time corresponding to each peak, the area of the PPG waveform, and/or the ratio between features). In other words, the processor <NUM> may estimate and obtain second calibration information about the second posture based on the calibration data sets for the plurality of user postures pre-stored in the memory <NUM> and the first calibration information, rather than directly measuring the biometric signal and blood pressure value (e.g., cuff blood pressure value) from the user.

According to various embodiments, the processor <NUM> may store the first calibration information and the second calibration information, as a first calibration data set, in the memory <NUM>. For example, the processor <NUM> may add the first calibration data set to the plurality of pre-stored calibration data sets.

According to various embodiments, the external blood pressure monitor <NUM> may measure the user's blood pressure value (e.g., cuff blood pressure value). For example, the external blood pressure monitor <NUM> may include a cuff blood pressure monitor. For example, the external blood pressure monitor <NUM> may measure the user's blood pressure in a manner different from the manner in which the wearable electronic device measures the user's blood pressure. For example, the external blood pressure monitor <NUM> may measure the user's blood pressure value according to an oscillometric method and/or a korotkoff sounds method. The external blood pressure monitor <NUM> may transmit the measured blood pressure value to the wearable electronic device <NUM> and/or the electronic device <NUM>.

According to various embodiments, the electronic device <NUM> may estimate the features and blood pressure value of the biometric signal, obtainable in the second posture, based on the plurality of calibration data sets and the features and blood pressure value (e.g., cuff blood pressure value) of the biometric signal obtained in the first posture. For example, the electronic device <NUM> may store a plurality of calibration data sets in a memory (not shown) (e.g., the memory <NUM> of <FIG>) of the electronic device <NUM>. The electronic device <NUM> may receive information about the biometric signal obtained in the first posture from the wearable electronic device <NUM> through the communication module (e.g., the communication module <NUM> of <FIG>) and may receive information about the blood pressure value obtained in the first posture from the external blood pressure monitor <NUM>. The electronic device <NUM> may obtain the first calibration information according to the above-described method and estimate and obtain the second calibration information based on the first calibration information. Further, the electronic device <NUM> may store the first calibration data set in a memory (not shown) based on the first calibration information and the second calibration information. The electronic device <NUM> may transmit information about the first calibration data set to the wearable electronic device <NUM>.

Meanwhile, at least some of the operations performed by the wearable electronic device <NUM>, described below, may be performed by the processor <NUM>.

<FIG> is a flowchart illustrating a method for measuring the blood pressure using calibration according to the user's posture, by a wearable electronic device, according to various embodiments.

Referring to <FIG>, according to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may obtain the user's blood pressure information based on the biometric signal obtained through the first sensor <NUM>. For example, the wearable electronic device <NUM> may obtain blood pressure information by analyzing the user's biometric signal.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify the user's posture when obtaining a biometric signal through the second sensor <NUM>.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may obtain the user's blood pressure value based on blood pressure information and calibration data sets for a plurality of postures of the user stored in the memory <NUM>. For example, the wearable electronic device <NUM> may identify the calibration data set matching the features and blood pressure value of the biometric signal and the user's posture from among the calibration data sets for the plurality of postures to thereby calibrate the blood pressure information and measure the user's blood pressure value based on the calibrated blood pressure information. The wearable electronic device <NUM> may store the calibration data and the quantified blood pressure value in the memory <NUM> or display it on the display <NUM>.

<FIG> and <FIG> are a flowchart and a view illustrating a method for obtaining calibration data used to measure the blood pressure by a wearable electronic device, according to various embodiments.

Referring to <FIG>, according to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may directly obtain the user's first biometric signal through the first sensor <NUM> in the user's first posture (e.g., lying posture).

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may obtain information about the first blood pressure value measured by an external electronic device (e.g., the external blood pressure monitor <NUM>) in the first posture from the external electronic device <NUM>. The first blood pressure value may mean a cuff blood pressure value measured by the external electronic device <NUM> (e.g., cuff blood pressure monitor). According to an embodiment, operations <NUM> and <NUM> may be performed simultaneously.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may obtain first calibration information related to the first posture. For example, the first calibration information may refer to information for quantifying the user's first blood pressure information (e.g., information for measuring blood pressure in the user's first biometric signal) measured in the first posture. For example, the first calibration information may include the features of the user's first biometric signal measured through the first sensor <NUM> in the first posture and information about the user's first blood pressure value (e.g., cuff blood pressure value) measured by the external electronic device <NUM> in the first posture.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify whether the calibration data sets for the plurality of postures of the user pre-stored in the memory <NUM> meet a specific condition for estimating the second calibration information related to the second posture. For example, the specific condition may mean a condition as to whether the calibration data sets include sufficient data to estimate the second calibration information related to the second posture (e.g., sitting or standing posture) different from the first posture. For example, the specific condition may be met if the calibration data sets include a specific number of, or more, data or include the same or similar data to the features and first blood pressure value of the first biometric signal included in the first calibration information.

According to various embodiments, when the calibration data sets meet the specific condition (Yes in operation <NUM>), the wearable electronic device <NUM> may estimate the second calibration information related to the second posture in operation <NUM>. For example, the second calibration information may refer to information for quantifying the user's second blood pressure information (e.g., information for measuring blood pressure in the user's first biometric signal) measured in the second posture. For example, the wearable electronic device <NUM> may obtain the second calibration information related to the user's second posture based on the first calibration information and the pre-stored calibration data sets. The wearable electronic device <NUM> does not obtain information about the second blood pressure value measured in the second posture from the external electronic device (e.g., the external blood pressure monitor <NUM>) or directly measure the user's biometric signal, but may estimate and obtain the second calibration information related to the second posture.

According to various embodiments, when the calibration data sets do not meet the designated condition (No in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may obtain the second blood pressure information based on the second biometric signal obtained through the first sensor <NUM> directly from the user in the second posture and obtain information about the second blood pressure value measured by the external electronic device (e.g., the external blood pressure monitor <NUM>). The second blood pressure value may mean a cuff blood pressure value measured by the external electronic device <NUM> (e.g., cuff blood pressure monitor). For example, the wearable electronic device <NUM> may obtain the second calibration information based on information about the features and second blood pressure value of the second biometric signal obtained by directly measuring the user's biometric signal in the second posture.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may store the first calibration information and the second calibration information, as a calibration data set. Thereafter, when measuring the user's blood pressure value, the wearable electronic device <NUM> may perform the operation of measuring the blood pressure value according to the user's posture using the stored calibration data set (e.g., the calibration data set including the estimated second calibration information).

Meanwhile, although it is described herein that data for calibration is obtained in two postures, and calibration is performed based thereupon for ease of convenience, the technical teaching of the present invention is not limited thereto. For example, the wearable electronic device <NUM> may obtain data for calibration in a plurality of postures (e.g., three or more postures) and, based thereupon, perform calibration for a plurality of postures (e.g., three or more postures).

Referring to <FIG>, the wearable electronic device <NUM> may obtain calibration information or calibration data through the first sensor <NUM>. For example, the wearable electronic device <NUM> may sense the user's biometric signal to obtain calibration information in at least one of the first posture and the second posture through the first sensor <NUM>.

According to various embodiments, in a first period <NUM>, the wearable electronic device <NUM> may obtain the user's biometric signal to obtain calibration information in both the first posture and the second posture. For example, the first section <NUM> may mean a period during which the number of calibration data sets stored in the memory <NUM> is not sufficiently accumulated. For example, the first period <NUM> may be a period during which the number of calibration data sets stored in the memory <NUM> is less than a specific number (e.g., n, where n is a natural number). In the first period <NUM>, the wearable electronic device <NUM> may provide a guide to the user to obtain a biometric signal in both the first posture and the second posture.

According to various embodiments, in a second period <NUM>, the wearable electronic device <NUM> may obtain the user's biometric signal to obtain calibration information only in either the first posture or the second posture. For example, the second period <NUM> may be a period during which the number of calibration data sets stored in the memory <NUM> is a designated number or more. For example, the designated number may mean a number sufficient to estimate calibration information related to the other one (e.g., the second posture) of the first and second postures. For example, the designated number may be set automatically by the processor <NUM> or by the user. For example, the designated number may be five.

According to various embodiments, in the second period <NUM>, if the calibration data sets stored in the memory <NUM> do not include a data set matching the biometric signal obtained in any one posture (e.g., the first posture) of the first posture and the second posture, the wearable electronic device <NUM> may not estimate the calibration information related to the other posture (e.g., the second posture) of the first posture and the second posture. In the second period <NUM>, the wearable electronic device <NUM> may provide a guide to the user to obtain a biometric signal in the second posture.

<FIG> is a flowchart illustrating a method for estimating second calibration information for a second posture using features of a first biometric signal obtained in a first posture included in calibration data sets, the blood pressure value (e.g., cuff blood pressure value) at that time, features of a second biometric signal obtained in a second posture, and the blood pressure value (e.g., cuff blood pressure value) at that time, by a wearable electronic device, according to various embodiments.

Referring to <FIG>, according to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may obtain a first biometric signal and a first blood pressure value in a first posture. For example, the wearable electronic device <NUM> may obtain the first biometric signal through the first sensor <NUM> and may obtain the first blood pressure value (e.g., cuff blood pressure value) measured by the external blood pressure monitor <NUM> through the communication module <NUM> or the user input.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify the features of the first biometric signal (e.g., PPG signal). For example, the features of the first biometric signal may include the peak level of waveform of the PPG signal, the time corresponding to each peak, the area of the PPG waveform, the ratio between features, and/or a combination thereof. For example, each of the features of the first biometric signal may include a value for the feature.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify a calibration data set obtained at a specific time, which has features matching the features of the first biometric signal among pre-stored calibration data sets. For example, the calibration data set may include first calibration information about the first posture and second calibration information about the second posture. The wearable electronic device may identify the calibration data set including calibration information having features similar to the features matching the features of the first biometric signal in the calibration information about the first posture of each of the pre-stored calibration data sets.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify the ratio between the features (e.g., the values of the features) of the biometric signal for the first posture and the features (e.g., the values of the features) of the biometric signal for the second posture in the identified calibration data set obtained at the specific time.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may estimate the features of the second biometric signal that may be obtained in the second posture, based on the features of the first biometric signal and the identified ratio. For example, the wearable electronic device <NUM> may estimate the respective values of the features of the second biometric signal that may be obtained in the second posture, by applying the identified ratio to the respective values of the features of the first biometric signal (e.g., multiplying the respective values of the features of the first biometric signal by the identified ratio).

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify a blood pressure difference between the blood pressure value (e.g., cuff blood pressure value) for the first posture and the blood pressure value (e.g., cuff blood pressure value) for the second posture, measured at the specific time, in the identified calibration data set. For example, the wearable electronic device <NUM> may identify a first blood pressure difference between the systolic blood pressure (SBP) for the first posture and the systolic blood pressure (SBP) for the second posture, measured at the specific time and identify a second blood pressure difference between the diastolic blood pressure (DBP) for the first posture and the diastolic blood pressure (DBP) for the second posture, measured at the specific time.

According to various embodiments, in operation <NUM>, the second blood pressure value obtained in the second posture may be estimated based on the identified blood pressure difference and the first blood pressure value. For example, the wearable electronic device <NUM> may estimate the second blood pressure value by applying the identified blood pressure difference to the first blood pressure value (e.g., adding or subtracting the identified blood pressure difference to/from the first blood pressure value). For example, the wearable electronic device <NUM> may identify the systolic blood pressure of the second blood pressure value by adding the first blood pressure difference to the systolic blood pressure included in the first blood pressure value and identify the diastolic blood pressure of the second blood pressure value by adding the second blood pressure difference to the diastolic blood pressure included in the first blood pressure value.

<FIG> are views illustrating a method for estimating second calibration information for a second posture using features of a first biometric signal obtained in a first posture included in calibration data sets, the blood pressure value (e.g., cuff blood pressure value) at that time, features of a second biometric signal obtained in a second posture, and the blood pressure value (e.g., cuff blood pressure value) at that time, by a wearable electronic device, according to various embodiments.

Referring to <FIG>, the wearable electronic device <NUM> may obtain first calibration information <NUM> for the first posture. The first calibration information <NUM> may include information about a specific time (e.g., March <NUM>, <NUM>), information about a first posture (e.g., lying posture), information <NUM> about a first blood pressure value (systolic and diastolic), and information <NUM> about features of a first biometric signal <NUM>. In certain embodiments, the features of the first biometric signal <NUM> can included Fourier transform coefficients.

According to various embodiments, the wearable electronic device <NUM> may obtain the information <NUM> about the first blood pressure value measured by an external blood pressure monitor <NUM> at the specific time. For example, the information about the first blood pressure value may include information about a systolic blood pressure Cal_SBP and a diastolic blood pressure Cal_DBP measured in the first posture.

According to various embodiments, the wearable electronic device <NUM> may obtain a first biometric signal <NUM> (e.g., a PPG signal) through the first sensor <NUM> and identify the features of the first biometric signal <NUM>. The wearable electronic device <NUM> may obtain information <NUM> about the features of the first biometric signal <NUM>. For example, a first feature f1, a second feature f2, a third feature f3, a fourth feature f4, and a fifth feature f5 may be values generated by peak levels (e.g., P1, P2, and P3) of the waveform of the first biometric signal <NUM> (e.g., PPG signal), the times (e.g., T1, T2, and T3) corresponding to the peaks, the amplitude PMAX and time TMAX at the maximum value point in the systolic period of the PPG signal, the amplitude PSYS and time TSYS at a specific point in the systolic period, the area of the waveform, the ratio between features, and/or a combination thereof. However, the values indicating the features of the first biometric signal <NUM> and the number thereof are merely for convenience of description, and the technical teaching of the present invention may not be limited thereto.

Referring to <FIG>, according to various embodiments, the wearable electronic device <NUM> may identify the calibration data set <NUM> having features matching the information <NUM> about the features of the first biometric signal <NUM> in the pre-stored calibration data sets <NUM>. For example, the wearable electronic device <NUM> may compare the features of the biometric signals obtained in the first posture and the information <NUM> about the features of the first biometric signal <NUM> in each of the calibration data sets <NUM> and identify the calibration data set <NUM> having similar features to the information <NUM> about the features of the first biometric signal <NUM>. For example, the calibration data set <NUM> can be selected based on a variety of measures, such as sum of squared distances, among others. The wearable electronic device <NUM> may identify a ratio between features of the biometric signal for the first posture and features of the biometric signal for the second posture from the identified calibration data set <NUM>. The wearable electronic device <NUM> may identify a blood pressure difference between the blood pressure value for the first posture and the blood pressure value for the second posture from the identified calibration data set <NUM>.

According to various embodiments, the wearable electronic device <NUM> may identify whether calibration information for the second posture is estimated from the pre-stored calibration data sets <NUM>. If the calibration information for the second posture is estimated, the wearable electronic device <NUM> may add flag information <NUM> to the corresponding calibration data set. For example, the wearable electronic device <NUM> may identify, through the flag information <NUM>, that the calibration information for the second posture obtained on "August <NUM>, <NUM>" is estimated information.

According to various embodiments, the wearable electronic device <NUM> may select, first, the calibration set obtained by directly measuring the calibration information for the second posture, in the pre-stored calibration data sets <NUM>. For example, the wearable electronic device <NUM> may select, first, the calibration data set obtained by directly measuring both the first posture and the second posture, over the calibration set obtained by directly measuring the biometric signal and blood pressure value only in the first posture of the first posture and the second posture and estimating the features and blood pressure value of the biometric signal in the second posture.

Referring to <FIG>, according to various embodiments, the wearable electronic device <NUM> may estimate the features <NUM> of the second biometric signal obtainable in the second posture based on the identified ratio and the information <NUM> about the features of the first biometric signal <NUM>.

Referring to <FIG>, according to various embodiments, the wearable electronic device <NUM> may analyze the values for the pre-stored calibration data sets <NUM> and identify an analysis result <NUM>. For example, the wearable electronic device <NUM> may identify the average blood pressure value (e.g., average SBP and average DBP), maximum blood pressure value (e.g., maximum SBP and maximum DBP), and minimum blood pressure value (e.g., minimum SBP and minimum DBP) measured in the first posture and the average blood pressure value, maximum blood pressure value, and minimum blood pressure value measured in the second posture, in the pre-stored calibration data sets <NUM>. The wearable electronic device <NUM> may estimate the second blood pressure value that may be measured in the second posture, considering the blood pressure difference between the blood pressure value for the first posture and the blood pressure value for the second posture, the difference between the average blood pressure value of the first posture and the average blood pressure value of the second posture, the maximum blood pressure value of the second posture, and the minimum blood pressure value of the second posture.

Referring to <FIG>, according to various embodiments, the wearable electronic device <NUM> may estimate information <NUM> about the second blood pressure value obtainable in the second posture. For example, when there is no or little difference between the SBP average blood pressure value of the first posture and the SBP average blood pressure value of the second posture (e.g., when the difference is less than a reference value), the wearable electronic device <NUM> may estimate the SBP of the second blood pressure value of the second posture as the same value (e.g., <NUM>. 67mmHg) as the SBP of the first blood pressure value of the first posture. Further, when there is a meaningful difference between the DBP average blood pressure value of the first posture and the DBP average blood pressure value of the second posture (e.g., when the difference is the reference value or more), the wearable electronic device <NUM> may apply the difference (e.g., <NUM>. 66mmHg) between the DBP blood pressure value of the first posture and the DBP blood pressure value of the second posture in the identified calibration data set <NUM> to the DBP (e.g., <NUM>) of the first blood pressure value of the first posture, thereby estimating the DBP (e.g., <NUM>. 73mmHg) of the second blood pressure value of the second posture. The wearable electronic device <NUM> may obtain the second calibration information <NUM> based on the information <NUM> about the second blood pressure value obtainable in the second posture and the features <NUM> of the second biometric signal obtainable in the second posture.

<FIG> is a flowchart illustrating a method for estimating a blood pressure value of a second posture based on an average blood pressure difference between a blood pressure value of a first posture and the blood pressure value of the second posture included in calibration data sets, by a wearable electronic device, according to various embodiments.

Referring to <FIG>, according to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify a user's average blood pressure value based on the pre-stored calibration data sets. For example, the wearable electronic device <NUM> may identify the average blood pressure value (e.g., average SBP and average DBP) measured in the first posture and the average blood pressure value (e.g., average SBP and average DBP) (e.g., the analysis result <NUM> of <FIG>) measured in the second posture in the pre-stored calibration data sets (e.g., the calibration data sets <NUM> of <FIG>).

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify whether the difference between the average blood pressure value measured in the first posture and the average blood pressure value measured in the second posture is a first reference value or more. For example, the first reference value may be set automatically by the wearable electronic device <NUM> or by the user.

According to various embodiments, when the average blood pressure value difference is the first reference value or more (Yes in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may estimate the second blood pressure value by applying the blood pressure value in the pre-stored calibration data set to the first blood pressure value measured in the first posture. For example, the wearable electronic device <NUM> may estimate the second blood pressure value of the second posture by applying the difference between the blood pressure value of the first posture and the blood pressure value of the second posture to the first blood pressure value in the identified calibration data set (e.g., the calibration data set having features matching the features of the first biometric signal obtained through the first sensor) among the pre-stored calibration data sets.

According to various embodiments, when the average blood pressure value difference is less than the first reference value (No in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may estimate the second blood pressure value, like the first blood pressure value measured in the first posture. For example, when the average blood pressure value difference is less than the first reference value, the wearable electronic device <NUM> may determine that there is no or little difference between the blood pressure values measured in the first posture and the second posture and estimate the same value as the first blood pressure value, as the second blood pressure value.

<FIG> is a flowchart illustrating another method for estimating a blood pressure value of a second posture estimated, by a wearable electronic device, according to various embodiments.

Referring to <FIG>, according to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify the estimated second blood pressure value.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify the minimum blood pressure value or maximum blood pressure value measured in the second posture in the pre-stored calibration data sets.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify whether the difference between the estimated second blood pressure value and the minimum blood pressure value (or maximum blood pressure value) is a specific second reference value or more. For example, the second reference value may be set automatically by the wearable electronic device <NUM> or by the user.

According to various embodiments, when the difference between the estimated second blood pressure value and the minimum blood pressure value (or the maximum blood pressure value) is less than the specific second reference value (No in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may store the estimated second blood pressure value as the second calibration information. In other words, the wearable electronic device <NUM> may store the estimated second blood pressure value in the memory <NUM>.

According to various embodiments, when the difference between the estimated second blood pressure value and the minimum blood pressure value (or maximum blood pressure value) is the specific second reference value or more (Yes in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may identify the average value of the second blood pressure value and the minimum blood pressure value (or maximum blood pressure value) of the pre-stored calibration data sets and replace the second blood pressure value by the identified average value or identify the identified average value as the second blood pressure value.

According to various embodiments, when the difference between the estimated second blood pressure value and the minimum blood pressure value (or maximum blood pressure value) is equal to or larger than a third reference value larger than the specific second reference value, a message to request the user to re-measure blood pressure for calibration data may be displayed. For example, since there may be an error in estimation of the second blood pressure value or the user may be in a poor health condition, the wearable electronic device <NUM> may request the user to directly measure blood pressure in the second posture by displaying the message.

<FIG> is a flowchart illustrating an operation for identifying whether a condition for estimating second calibration information is met using first calibration information by a wearable electronic device according to various embodiments.

Referring to <FIG>, according to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may obtain first calibration information about the first posture (e.g., the first calibration information <NUM> of <FIG>).

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify the number of pre-stored calibration data sets (e.g., the calibration data sets <NUM> of <FIG>) before estimating the second calibration information about the second posture.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may identify whether the number of pre-stored calibration data sets is larger than or equal to a specific number (e.g., five). For example, the specific number may be set automatically by the wearable electronic device <NUM> or by the user.

According to various embodiments, when the number of pre-stored calibration data sets is equal to or larger than the specific number (Yes in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may estimate the second calibration information (e.g., the second calibration information <NUM> of <FIG>) based on the first calibration information according to the above-described method.

According to various embodiments, when the number of pre-stored calibration data sets is less than the specific number (No in operation <NUM>), in operation <NUM>, the wearable electronic device <NUM> may not estimate the second calibration information based on the first calibration information.

According to various embodiments, in operation <NUM>, the wearable electronic device <NUM> may display a message requesting the user to additionally measure calibration data sets. In other words, when the number of calibration data sets is less than the specific number, reliability and accuracy may decrease. Thus, the wearable electronic device <NUM> may not estimate the second calibration information about the second posture based on the first calibration information for the first posture.

<FIG> are views illustrating a user interface provided by an electronic device according to various embodiments.

Referring to <FIG>, according to various embodiments, an electronic device <NUM> may be implemented in substantially the same or similar manner to the electronic device <NUM> described in connection with <FIG>. The electronic device <NUM> may be connected to the wearable electronic device <NUM> and the external blood pressure monitor <NUM> through a communication module (e.g., the communication module <NUM> of <FIG>) included in the electronic device <NUM>. Further, the electronic device <NUM> may receive data measured by the wearable electronic device <NUM> and the external blood pressure monitor <NUM> and may display screens related to the operation of securing data for calibrating the user's blood pressure based on the received data. For example, electronic device <NUM> may be paired with the wearable electronic device <NUM> and the external blood pressure monitor <NUM> via a Bluetooth connection. Alternatively, the blood pressure monitor <NUM> may connect to the electronic device <NUM> via a USB chord.

Referring to <FIG>, according to various embodiments, the electronic device <NUM> may display a first screen for a calibration operation for blood pressure monitoring. The electronic device <NUM> may display a first object <NUM> for starting the calibration operation on the first screen. Further, the electronic device <NUM> may display a brief description of the calibration operation together on the first screen.

Referring to <FIG>, when a user input to the first object <NUM> is identified, the electronic device <NUM> may display a second screen <NUM> for a caution before starting a calibration operation. The electronic device <NUM> may display a second object <NUM> for performing a calibration operation on the second screen <NUM>.

Referring to <FIG>, if a user input to the second object <NUM> is identified, the electronic device <NUM> may display a third screen <NUM> describing how to wear the wearable electronic device <NUM> before starting a calibration operation. The electronic device <NUM> may display a third object <NUM> for performing a calibration operation on the third screen <NUM>.

Referring to <FIG>, if a user input to the third object <NUM> is identified, the electronic device <NUM> may display a fourth screen <NUM> describing how to wear an external blood pressure monitor <NUM> (e.g., a blood pressure monitor including a cuff) before starting a calibration operation. The electronic device <NUM> may display a fourth object <NUM> for completing a calibration preparation operation on the fourth screen <NUM>. If a user input to the fourth object <NUM> is identified, the electronic device <NUM> may display screens for completing the calibration preparation operation and obtaining data for calibration. Referring to <FIG> generally guide the user to measure their blood pressure using both the wearable electronic device <NUM> and the external blood pressure monitor <NUM>, substantially simultaneously.

Referring to <FIG>, the electronic device <NUM> may display a first screen for selecting a posture for obtaining calibration data. The first screen may include a first object <NUM> for selecting a first posture (e.g., a lying posture) and a second object <NUM> for selecting a second posture (e.g., a sitting posture). Meanwhile, <FIG> only illustrates a screen for selecting two postures for convenience of description, but the present invention may not be limited thereto. For example, the electronic device <NUM> may display a first screen for selecting a plurality of postures and may further include an object for selecting an additional posture.

Referring to <FIG>, if a user input to the second object <NUM> is identified, the electronic device <NUM> may display a second screen <NUM> indicating a state of obtaining calibration data in the second posture.

Referring to <FIG>, if obtaining the calibration data in the second posture is completed, the electronic device <NUM> may receive the user's blood pressure value measured by the external blood pressure monitor <NUM> and may display a third screen indicating completion of the measurement. For example, the third screen may include information <NUM> about the result of measuring the user's blood pressure measured by the external blood pressure monitor <NUM>. According to an embodiment, the electronic device <NUM> may guide the user to obtain calibration data about three times in the second posture.

Referring to <FIG>, after displaying the information <NUM> about the result of measuring the user's blood pressure, the electronic device <NUM> may display a fourth screen including a third object <NUM> for continuously measuring the user's blood pressure in another posture and a fourth object <NUM> for terminating the measurement of blood pressure. If a user input to the fourth object <NUM> is identified, the electronic device <NUM> may store the measured blood pressure value and terminate the blood pressure measurement to obtain calibration data.

According to various embodiments, When a user input to the third object <NUM> is identified, the electronic device <NUM> may display a first screen for selecting the posture to obtain the calibration data shown in <FIG>. According to another embodiment, as shown in <FIG>, when the electronic device <NUM> only supports the operation of obtaining calibration data for two postures, if a user input to the third object <NUM> is identified, the electronic device <NUM> may display a screen (e.g., the fifth screen <NUM>) indicating the state of obtaining calibration data in the first posture. For example, if a user input to the third object <NUM> is identified, the electronic device <NUM> may provide a message indicating the start of measurement of calibration data in the first posture.

Referring to <FIG>, if a user input to the first object <NUM> is identified, the electronic device <NUM> may display a fifth screen <NUM> indicating a state of obtaining calibration data in the first posture.

Referring to <FIG>, if obtaining the calibration data in the first posture is completed, the electronic device <NUM> may display a sixth screen indicating completion of the measurement. For example, the sixth screen may include information <NUM> about the result of measuring the user's blood pressure measured by the external blood pressure monitor <NUM>.

Referring to <FIG>, after displaying the information <NUM> about the result of measuring the user's blood pressure, the electronic device <NUM> may display a seventh screen including a fifth object <NUM> for continuously measuring the user's blood pressure in another posture and a sixth object <NUM> for terminating the measurement of blood pressure. If a user input to the sixth object <NUM> is identified, the electronic device <NUM> may store the measured blood pressure value and terminate the operation of obtaining calibration data. According to an embodiment, if the number of pre-stored calibration data sets is larger than or equal to a designated number, the electronic device <NUM> may display a screen including a message indicating that calibration data may be obtained for another posture without additional measurement only with the calibration data for one posture measured.

<FIG> are views illustrating a user interface provided by a wearable electronic device according to various embodiments.

Referring to <FIG>, according to various embodiments, an electronic device <NUM> may be implemented in substantially the same or similar manner to the electronic device <NUM> described in connection with <FIG>. The wearable electronic device <NUM> may display screens related to an operation for securing data for calibrating the user's blood pressure. For example, the wearable electronic device <NUM> may receive data measured by an external blood pressure monitor <NUM> without an electronic device <NUM> or <NUM> and display screens related to the operation of securing data for calibrating the user's blood pressure.

Referring to <FIG>, according to various embodiments, the wearable electronic device <NUM> may display a first screen for starting a calibration operation for blood pressure monitoring. The wearable electronic device <NUM> may display a first object <NUM> for starting the calibration operation on the first screen. Further, the wearable electronic device <NUM> may display a brief description of the calibration operation together on the first screen.

Referring to <FIG>, if a user input to the first object <NUM> is identified, the wearable electronic device <NUM> may display a second screen <NUM> describing how to wear the wearable electronic device <NUM> before starting a calibration operation. The wearable electronic device <NUM> may display a second object <NUM> for performing a calibration operation on the second screen <NUM>.

Referring to <FIG>, if a user input to the second object <NUM> is identified, the wearable electronic device <NUM> may display a third screen <NUM> for selecting the posture of obtaining calibration data. The third screen <NUM> may include a third object <NUM> for selecting a posture for measuring a blood pressure value.

Referring to <FIG>, if a user input to the third object <NUM> is identified, the wearable electronic device <NUM> may display a fourth screen <NUM> indicating the state of obtaining calibration data by the wearable electronic device <NUM> in the selected posture.

Referring to <FIG>, if obtaining calibration data is completed in the selected posture, the wearable electronic device <NUM> may display a fifth screen indicating the completion of measurement although not shown in the drawings. For example, the fifth screen may include information about the result of measuring the user's blood pressure measured by the external blood pressure monitor <NUM>. The wearable electronic device <NUM> may display a sixth screen including a fourth object <NUM> for continuously measuring the user's blood pressure in another posture and a fifth object <NUM> for terminating the measurement of blood pressure. If a user input to the fourth object <NUM> is identified, the wearable electronic device <NUM> may display a third screen for selecting the posture shown in <FIG>. Alternatively, if a user input to the fifth object <NUM> is identified, the wearable electronic device <NUM> may store the measured blood pressure value and terminate the operation of obtaining calibration data.

According to various embodiments, a wearable electronic device (e.g., the wearable electronic device <NUM> of <FIG>) may comprise a memory (e.g., the memory <NUM> of <FIG>), a first sensor (e.g., the first sensor <NUM> of <FIG>), a second sensor (e.g., the second sensor <NUM> of <FIG>), and a processor (e.g., the processor <NUM> of <FIG>). The processor may be configured to, obtain a user's first biometric signal in a user's first posture through the first sensor, obtain, from an external electronic device, information about a user's first blood pressure value measured by the external electronic device in the first posture, obtain first calibration information for quantifying first blood pressure information measured in the first posture, based on information about features of the first biometric signal and the first blood pressure value, identify whether calibration data sets for a plurality of postures of the user, pre-stored in the memory, meet a specific condition for estimating second calibration information for quantifying second blood pressure information measured in a user's second posture, and when the calibration data sets meet the specific condition, estimate the second calibration information based on the calibration data sets and the first calibration information.

The processor may be configured to identify first calibration data of the first posture matching the features of the first biometric signal among calibration data sets for the user's first posture pre-stored in the memory, identify second calibration data of the second posture corresponding to the first calibration data of the first posture, identify a difference between the first calibration data and the second calibration data, and estimate the second calibration information including information about features of a second biometric signal and a second blood pressure value, obtainable in the second posture, based on the features of the first biometric signal, the first blood pressure value, and the difference.

The processor may be configured to identify a ratio between features of a biometric signal measured in the first posture, included in the first calibration data and features of a biometric signal measured in the second posture, included in the second calibration data and estimate the features of the second biometric signal obtainable in the second posture by applying the ratio to the features of the first biometric signal.

The processor may be configured to identify a difference value between a blood pressure value measured in the first posture, included in the first calibration data, and a blood pressure value measured in the second posture, included in the second calibration data and estimate the second blood pressure value obtainable in the second posture based on the first blood pressure value and the difference value.

The processor may be configured to identify an average blood pressure difference between blood pressure values of the first posture and blood pressure values of the second posture, included in the calibration data sets for the plurality of postures and if the average blood pressure difference is smaller than a first reference value, estimate the same value as the first blood pressure value as the second blood pressure value.

The processor may be configured to, when a difference between a first value obtained by applying the difference value to the first blood pressure value and a minimum blood pressure value included in the calibration data sets is a second reference value or more, identify an average value of the first value and the minimum blood pressure value as the second blood pressure value.

The processor may be configured to, when a difference between a second value obtained by applying the difference value to the first blood pressure value and a maximum blood pressure value included in the calibration data sets is a second reference value or more, identify an average value of the second value and the maximum blood pressure value as the second blood pressure value.

The processor may be configured to, when a difference between a first value obtained by applying the difference value to the first blood pressure value and a minimum blood pressure value included in the calibration data sets is a second reference value or more or when a difference between a second value obtained by applying the difference value to the first blood pressure value and a maximum blood pressure value included in the calibration data sets is the second reference value or more, display, on a display of the wearable electronic device, a message requesting to re-measure blood pressure information for calibration information related to the second posture.

The processor may be configured to, when the number of the plurality of calibration data sets is less than a specific number, refrain from estimating the second calibration information.

The processor may be configured to identify the user's third blood pressure information based on the user's third biometric signal obtained through the first sensor, in response to a command to measure the user's blood pressure, identify the user's posture when a third biometric signal is obtained, through the second sensor, identify calibration information about the identified posture of the user among calibration data sets including the first calibration data set stored in the memory, calibrate the third blood pressure information, based on the calibration information, and display, on a display of the wearable electronic device, information about the user's third blood pressure value quantified based on the calibrated third blood pressure information.

The processor may be configured to obtain information about the third blood pressure value using a method different from a method in which the external electronic device measures the information about the first blood pressure value.

According to various embodiments, a method for operating a wearable electronic device (e.g., the wearable electronic device <NUM> of <FIG>) may comprise, obtaining a user's first biometric signal in a user's first posture through a first sensor (e.g., the first sensor <NUM> of <FIG>) included in the wearable electronic device, obtaining, from an external electronic device, information about a user's first blood pressure value measured by the external electronic device in the first posture, obtaining first calibration information for quantifying first blood pressure information measured in the first posture, based on information about features of the first biometric signal and the first blood pressure value, identifying whether calibration data sets for a plurality of postures of the user, pre-stored in the electronic device, meet a specific condition for estimating second calibration information for quantifying second blood pressure information measured in a user's second posture, and when the calibration data sets meet the specific condition, estimating the second calibration information based on the calibration data sets and the first calibration information.

Estimating the second calibration information may include identifying first calibration data of the first posture matching the features of the first biometric signal among first calibration data sets for the user's first posture pre-stored in the wearable electronic device, identifying second calibration data of the second posture corresponding to the first calibration data of the first posture, identifying a difference between the first calibration data and the second calibration data, and estimating the second calibration information including information about features of a second biometric signal and a second blood pressure value, obtainable in the second posture, based on the features of the first biometric signal, the first blood pressure value, and the difference.

Estimating the second calibration information may include identifying a ratio between features of a biometric signal measured in the first posture, included in the first calibration data and features of a biometric signal measured in the second posture, included in the second calibration data and estimating the features of the second biometric signal obtainable in the second posture by applying the ratio to the features of the first biometric signal.

Estimating the second calibration information may include identifying a difference value between a blood pressure value measured in the first posture, included in the first calibration data, and a blood pressure value measured in the second posture, included in the second calibration data and estimating the second blood pressure value obtainable in the second posture based on the first blood pressure value and the difference value.

Estimating the second blood pressure value may include identifying an average blood pressure difference between blood pressure values of the first posture and blood pressure values of the second posture, included in the calibration data sets for the plurality of postures and when the average blood pressure difference is smaller than a first reference value, estimating the same value as the first blood pressure value as the second blood pressure value.

Estimating the second blood pressure value may include, when a difference between a first value obtained by applying the difference value to the first blood pressure value and a minimum blood pressure value included in the calibration data sets is a second reference value or more, determining an average value of the first value and the minimum blood pressure value as the second blood pressure value.

Estimating the second blood pressure value may include, when a difference between a second value obtained by applying the difference value to the first blood pressure value and a maximum blood pressure value included in the calibration data sets is a second reference value or more, identifying an average value of the second value and the maximum blood pressure value as the second blood pressure value.

The method may further comprise identifying the number of the plurality of calibration data sets and, when the number of the plurality of calibration data sets is less than a specific number, displaying a message requesting to measure a blood pressure value for calibration in the second posture without performing the estimation of the second calibration information.

Claim 1:
A wearable electronic device comprising:
a memory (<NUM>);
a first sensor (<NUM>);
a second sensor (<NUM>); and
a processor (<NUM>),
wherein the processor is configured to,
obtain a user's first biometric signal in a user's first posture through the first sensor,
obtain, from an external electronic device, information about a user's first blood pressure value measured by the external electronic device in the first posture,
obtain first calibration information for quantifying first blood pressure information measured in the first posture, based on information about features of the first biometric signal and the first blood pressure value,
identify whether calibration data sets for a plurality of postures of the user, pre-stored in the memory, meet a specific condition for estimating second calibration information for quantifying second blood pressure information measured in a user's second posture, and
when the calibration data sets meet the specific condition, estimate the second calibration information based on the calibration data sets and the first calibration information.