CN111629659A - Apparatus and method for determining calibration timing for blood pressure measurement of electronic device - Google Patents

Apparatus and method for determining calibration timing for blood pressure measurement of electronic device Download PDF

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Publication number
CN111629659A
CN111629659A CN201980008465.2A CN201980008465A CN111629659A CN 111629659 A CN111629659 A CN 111629659A CN 201980008465 A CN201980008465 A CN 201980008465A CN 111629659 A CN111629659 A CN 111629659A
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China
Prior art keywords
calibration
electronic device
reliability
processor
blood pressure
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Granted
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CN201980008465.2A
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Chinese (zh)
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CN111629659B (en
Inventor
李洪知
全太汉
朴钟忍
沈*
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Samsung Electronics Co Ltd
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Samsung Electronics Co Ltd
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Priority claimed from PCT/KR2019/000205 external-priority patent/WO2019143056A1/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7221Determining signal validity, reliability or quality
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72403User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M1/00Substation equipment, e.g. for use by subscribers
    • H04M1/72Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72469User interfaces specially adapted for cordless or mobile telephones for operating the device by selecting functions from two or more displayed items, e.g. menus or icons
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2201/00Electronic components, circuits, software, systems or apparatus used in telephone systems
    • H04M2201/34Microprocessors
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2201/00Electronic components, circuits, software, systems or apparatus used in telephone systems
    • H04M2201/36Memories
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04MTELEPHONIC COMMUNICATION
    • H04M2201/00Electronic components, circuits, software, systems or apparatus used in telephone systems
    • H04M2201/38Displays

Abstract

An electronic device includes a sensor, a memory, a display, and a processor. The processor is configured to: determining biological information and blood pressure information of a user measured by a sensor; determining reliability of the calibration of the blood pressure information based on at least one of elapsed time of the calibration, the biological information, and/or the blood pressure information; determining whether an event related to the calibration occurs based on the reliability of the calibration; and displaying, by the display, a User Interface (UI) requesting another calibration when it is determined that the event has occurred.

Description

Apparatus and method for determining calibration timing for blood pressure measurement of electronic device
Technical Field
The present disclosure relates generally to devices and methods for determining calibration timing for blood pressure measurements of an electronic device.
Background
Recently, as smartphones and wearable devices with superior performance characteristics become more prevalent, these devices are increasingly being used for health monitoring. In particular, attention has been directed to various sensing techniques and services for health monitoring, such as those for measuring blood glucose and blood pressure.
Non-invasive methods of measuring blood pressure may include, for example, auscultation and oscillometry. In the auscultatory method and the oscillometric method, a cuff is attached to the upper arm of a user, a pressure higher than the diastolic pressure is applied to the arm through the cuff, and then the pressure is slowly reduced while measuring the blood pressure.
Meanwhile, there is another method of estimating blood pressure without using cuff (hereinafter referred to as a cuff-less method). These methods may include a method of estimating blood pressure using Pulse Transit Time (PTT) (hereinafter referred to as "PPT method"). In the PPT method, the inverse proportional relationship between blood pressure and PTT is used to estimate blood pressure. Another cuff-less method is Pulse Wave Analysis (PWA) (hereinafter referred to as "PWA method") which analyzes the waveform of a PPG signal corresponding to the waveform of blood pressure.
The above information is presented merely as background information to aid in understanding the present disclosure. No determination is made as to whether any of the above can be used as prior art with respect to the present disclosure, nor is an assertion made.
Disclosure of Invention
Technical problem
In the case of auscultation, the technician operating the monitor must be skilled in order to accurately measure blood pressure. In the case of the oscillometric method, the monitoring device is an electronic blood pressure monitor, which makes the measurement of blood pressure easy and convenient. However, the oscillometric method requires an air pump to push air into the cuff and a motor to actuate the air pump, and thus the oscillometric monitoring device can be very bulky. Thus, oscillometric blood pressure monitors lack portability.
Further, under the PTT method, since an Electrocardiogram (ECG) and a photoplethysmogram (PPG) are measured at the same time, it is difficult to measure blood pressure without the user being constrained and without the user knowing that the measurement is being performed. Thus, the PTT method may not be suitable for mobile devices. Furthermore, under the PWA method, since the blood pressure is estimated based on a single PPG signal, the measurement may not be as accurate as other methods. In order to compensate for the decrease in accuracy, a process of calibrating a blood pressure value estimated based on the PPG signal to a blood pressure value of the electronic blood pressure monitor by periodically measuring the blood pressure and the electronic blood pressure and at a first level of the blood pressure measurement (hereinafter referred to as "calibration") is required. However, since the user does not know the timing of calibration (hereinafter referred to as "calibration timing"), the user cannot be relied upon to perform calibration. However, if the blood pressure monitor is not properly calibrated, the estimated blood pressure reading may not be accurate.
Aspects of the present disclosure are directed to solving at least the above problems and/or disadvantages and to providing at least the advantages described below. Accordingly, an aspect of the present disclosure determines when calibration is needed based on the reliability of the calibration and provides guidance or a user interface to a user for calibration.
Solution to the problem
According to an aspect of the present disclosure, an electronic device may include a sensor, a memory, a display, and a processor. The processor may be configured to: determining biological information and blood pressure information of a user measured by a sensor; determining reliability of the calibration of the blood pressure information based on at least one of elapsed time of the calibration, the biological information, and/or the blood pressure information; determining whether an event related to the calibration occurs based on the reliability of the calibration; and displaying, by the display, a User Interface (UI) requesting another calibration when it is determined that the event has occurred.
According to an aspect of the present disclosure, a method of an electronic device may include: determining biological information and blood pressure information of a user measured by a sensor of an electronic device; determining reliability of the calibration of the blood pressure information based on at least one of elapsed time of the calibration, the biological information, and/or the blood pressure information; determining whether an event related to the calibration has occurred based on the reliability of the calibration; and upon determining that the event has occurred, displaying, by a display of the electronic device, a UI requesting another calibration.
According to an aspect of the present disclosure, an electronic device may include: a housing; a touch screen display exposed through a first portion of the housing; a photoplethysmogram (PPG) sensor exposed through a second portion of the housing and configured to be in contact with a portion of a user's body such that a blood pressure of the user is measured; a wireless communication circuit disposed within the housing; a processor disposed within the housing and operatively connected with the touch screen display, the PPG sensor, and the wireless communication circuit; and a memory disposed within the housing, operatively connected to the processor, and storing instructions. The instructions when executed may cause the processor to: receiving first data from a PPG sensor for a first duration; determining a plurality of first parameters from the first data; determining a first parameter for a first point in time based at least in part on at least two of the plurality of first parameters; receiving second data from the PPG sensor for a second time duration; determining a plurality of second parameters from the second data; determining a second parameter for a second point in time based at least in part on at least two of the plurality of second parameters; determining a calibration timing based at least in part on the second parameter; and displaying information related to the calibration timing on the touch screen display.
Advantageous effects of the invention
As described above, according to one or more embodiments of the present disclosure, an electronic device may determine whether an event related to calibration occurs based on reliability of calibration. If an event occurs, the electronic device may request the user to calibrate the blood pressure information.
According to an embodiment of the present disclosure, the electronic device may provide location information related to calibration to a user based on reliability of the calibration, thereby allowing the user to conveniently perform the calibration.
In addition, various other features may be understood directly or indirectly through the present disclosure.
Other aspects, advantages, and salient features of the disclosure will become apparent to those skilled in the art from the following detailed description, which, taken in conjunction with the annexed drawings, discloses various embodiments of the disclosure.
Drawings
The above and other aspects, features and advantages of certain embodiments of the present disclosure will become more apparent from the following description taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a block diagram illustrating an electronic device in a network environment in accordance with various embodiments;
FIG. 2 is a block diagram of an electronic device according to an embodiment;
FIG. 3 illustrates a graph representing reliability of a calibration according to an embodiment;
FIG. 4a is a flowchart illustrating operations of an electronic device requesting calibration based on reliability of calibration according to an embodiment;
FIG. 4b is a flowchart illustrating operations of an electronic device to provide information related to calibration timing according to embodiments;
FIG. 5 is a flowchart illustrating operations of an electronic device requesting calibration based on reliability of calibration and a specified threshold according to embodiments;
fig. 6 is a flowchart illustrating an operation in which the electronic device requests calibration based on an expiration time point of the calibration according to the embodiment;
fig. 7 is a flowchart illustrating an operation in which an electronic device and an external electronic device share location information related to calibration according to an embodiment;
fig. 8 illustrates a UI for providing location information related to calibration according to an embodiment;
fig. 9a is a flowchart illustrating operations of an electronic device providing calibration-related location information based on geofences, in accordance with an embodiment;
FIG. 9b illustrates an operation of changing a radius of a geofence based on reliability of calibration, in accordance with an embodiment;
fig. 10 is a view illustrating a user interface for providing location information related to calibration in the form of a pop-up window according to an embodiment;
FIG. 11 illustrates a user interface representing a user's blood pressure based on reliability of calibration, according to an embodiment; and
FIG. 12 illustrates another user interface that represents a user's blood pressure based on the reliability of the calibration, according to an embodiment.
In the drawings, the same and similar components will be given the same and similar reference numerals.
Detailed Description
Hereinafter, various embodiments of the present disclosure may be described with reference to the accompanying drawings. Accordingly, those of ordinary skill in the art will recognize that various modifications, equivalents, and/or substitutions may be made to the various embodiments described herein without departing from the scope and spirit of the present disclosure.
Fig. 1 is a block diagram illustrating an electronic device 101 in a network environment 100, in accordance with various embodiments. Referring to fig. 1, an electronic device 101 in a network environment 100 may communicate with an electronic device 102 via a first network 198 (e.g., a short-range wireless communication network) or with an electronic device 104 or a server 108 via a second network 199 (e.g., a long-range wireless communication network). According to an embodiment, the electronic device 101 may communicate with the electronic device 104 via the server 108. According to an embodiment, the electronic device 101 may include a processor 120, a memory 130, an input device 150, a sound output device 155, a display device 160, an audio module 170, a sensor module 176, an interface 177, a haptic module 179, a camera module 180, a power management module 188, a battery 189, a communication module 190, a Subscriber Identity Module (SIM)196, or an antenna module 197. In some embodiments, at least one of the components (e.g., display device 160 or camera module 180) may be omitted from electronic device 101, or one or more other components may be added to electronic device 101. In some embodiments, some of the components may be implemented as a single integrated circuit. For example, the sensor module 176 (e.g., a fingerprint sensor, an iris sensor, or an illuminance sensor) may be implemented to be embedded in the display device 160 (e.g., a display).
The processor 120 may run, for example, software (e.g., the program 140) to control at least one other component (e.g., a hardware component or a software component) of the electronic device 101 connected to the processor 120, and may perform various data processing or calculations. According to one embodiment, as at least part of the data processing or calculation, processor 120 may load commands or data received from another component (e.g., sensor module 176 or communication module 190) into volatile memory 132, process the commands or data stored in volatile memory 132, and store the resulting data in non-volatile memory 134. According to an embodiment, the processor 120 may include a main processor 121 (e.g., a Central Processing Unit (CPU) or an Application Processor (AP)) and an auxiliary processor 123 (e.g., a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a sensor hub processor, or a Communication Processor (CP)) that is operatively independent of or in conjunction with the main processor 121. Additionally or alternatively, the auxiliary processor 123 may be adapted to consume less power than the main processor 121, or be adapted specifically for a specified function. The auxiliary processor 123 may be implemented separately from the main processor 121 or as part of the main processor 121.
The auxiliary processor 123 may control at least some of the functions or states associated with at least one of the components of the electronic device 101 (e.g., the display device 160, the sensor module 176, or the communication module 190) when the main processor 121 is in an inactive (e.g., sleep) state, or the auxiliary processor 123 may control at least some of the functions or states associated with at least one of the components of the electronic device 101 (e.g., the display device 160, the sensor module 176, or the communication module 190) with the main processor 121 when the main processor 121 is in an active state (e.g., running an application). According to an embodiment, the auxiliary processor 123 (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module 180 or the communication module 190) that is functionally related to the auxiliary processor 123.
The memory 130 may store various data used by at least one component of the electronic device 101 (e.g., the processor 120 or the sensor module 176). The various data may include, for example, software (e.g., program 140) and input data or output data for commands associated therewith. The memory 130 may include volatile memory 132 or non-volatile memory 134.
The program 140 may be stored in the memory 130 as software, and the program 140 may include, for example, an Operating System (OS)142, middleware 144, or an application 146.
The input device 150 may receive commands or data from outside of the electronic device 101 (e.g., a user) to be used by other components of the electronic device 101, such as the processor 120. The input device 150 may include, for example, a microphone, a mouse, a keyboard, or a digital pen (e.g., a stylus pen).
The sound output device 155 may output a sound signal to the outside of the electronic device 101. The sound output device 155 may include, for example, a speaker or a receiver. The speaker may be used for general purposes such as playing multimedia or playing a record and the receiver may be used for incoming calls. Depending on the embodiment, the receiver may be implemented separate from the speaker, or as part of the speaker.
Display device 160 may visually provide information to the exterior of electronic device 101 (e.g., a user). The display device 160 may include, for example, a display, a holographic device, or a projector, and control circuitry for controlling a respective one of the display, holographic device, and projector. According to embodiments, the display device 160 may include touch circuitry adapted to detect a touch or sensor circuitry (e.g., a pressure sensor) adapted to measure the intensity of a force caused by a touch.
The audio module 170 may convert sound into an electrical signal and vice versa. According to embodiments, the audio module 170 may obtain sound via the input device 150 or output sound via the sound output device 155 or a headset of an external electronic device (e.g., the electronic device 102) directly (e.g., wired) connected or wirelessly connected with the electronic device 101.
The sensor module 176 may detect an operating state (e.g., power or temperature) of the electronic device 101 or an environmental state (e.g., state of a user) external to the electronic device 101 and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module 176 may include, for example, a gesture sensor, a gyroscope sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an Infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor.
The interface 177 may support one or more particular protocols to be used to directly (e.g., wired) or wirelessly connect the electronic device 101 with an external electronic device (e.g., the electronic device 102). According to an embodiment, the interface 177 may include, for example, a high-definition multimedia interface (HDMI), a Universal Serial Bus (USB) interface, a Secure Digital (SD) card interface, or an audio interface.
The connection end 178 may include a connector via which the electronic device 101 may be physically connected with an external electronic device (e.g., the electronic device 102). According to an embodiment, the connection end 178 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (e.g., a headphone connector).
The haptic module 179 may convert the electrical signal into a mechanical stimulus (e.g., vibration or motion) or an electrical stimulus that may be recognized by the user via his sense of touch or kinesthesia. According to an embodiment, the haptic module 179 may include, for example, a motor, a piezoelectric element, or an electrical stimulator.
The camera module 180 may capture still images or moving images. According to an embodiment, the camera module 180 may include one or more lenses, an image sensor, an image signal processor, or a flash.
The power management module 188 may manage power to the electronic device 101. According to an embodiment, the power management module 188 may be implemented as at least part of a Power Management Integrated Circuit (PMIC), for example.
The battery 189 may power at least one component of the electronic device 101. According to an embodiment, the battery 189 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.
The communication module 190 may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device 101 and an external electronic device (e.g., the electronic device 102, the electronic device 104, or the server 108), and performing communication via the established communication channel. The communication module 190 may include one or more communication processors capable of operating independently of the processor 120 (e.g., an Application Processor (AP)) and supporting direct (e.g., wired) communication or wireless communication. According to an 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 (PLC) module). A respective one of these communication modules may communicate with external electronic devices via a first network 198 (e.g., a short-range communication network such as bluetooth, wireless fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or a second network 199 (e.g., a long-range communication network such as a cellular network, the internet, or a computer network (e.g., a LAN or Wide Area Network (WAN))). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multiple components (e.g., multiple chips) that are separate from one another. The wireless communication module 192 may identify and authenticate the electronic device 101 in a communication network, such as the first network 198 or the second network 199, using subscriber information, such as an International Mobile Subscriber Identity (IMSI), stored in the subscriber identity module 196.
The antenna module 197 may transmit signals or power to or receive signals or power from outside of the electronic device 101 (e.g., an external electronic device). According to an embodiment, the antenna module 197 may include an antenna including a radiating element composed of a conductive material or conductive pattern formed in or on a substrate (e.g., a PCB). According to an embodiment, the antenna module 197 may include a plurality of antennas. In this case, at least one antenna suitable for a communication scheme 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 (e.g., the wireless communication module 192). Signals or power may then be transmitted or received between the communication module 190 and the external electronic device via the selected at least one antenna. According to an embodiment, additional components other than the radiating element, such as a Radio Frequency Integrated Circuit (RFIC), may be additionally formed as part of the antenna module 197.
At least some of the above components may be interconnected and communicate signals (e.g., commands or data) communicatively between them via an inter-peripheral communication scheme (e.g., bus, General Purpose Input Output (GPIO), Serial Peripheral Interface (SPI), or Mobile Industry Processor Interface (MIPI)).
According to an embodiment, commands or data may be sent or received between the electronic device 101 and the external electronic device 104 via the server 108 connected with the second network 199. Each of the electronic device 102 and the electronic device 104 may be the same type of device as the electronic device 101 or a different type of device from the electronic device 101. According to embodiments, all or some of the operations to be performed at the electronic device 101 may be performed at one or more of the external electronic device 102, the external electronic device 104, or the server 108. For example, if the electronic device 101 should automatically perform a function or service or should perform a function or service in response to a request from a user or another device, the electronic device 101 may request the one or more external electronic devices to perform at least part of the function or service instead of or in addition to performing the function or service. The one or more external electronic devices that received the request may perform the requested at least part of the functions or services or perform another function or another service related to the request and transmit the result of the execution to the electronic device 101. The electronic device 101 may provide the result as at least a partial reply to the request with or without further processing of the result. To this end, for example, cloud computing technology, distributed computing technology, or client-server computing technology may be used.
Fig. 2 is a block diagram of an electronic device according to an embodiment.
Referring to fig. 2, electronic device 101 may include a processor 220, a memory 230, a sensor module 240, a display 260, and a communication module 290.
According to an embodiment, the electronic device 101 may include a housing (not shown) that houses the processor 220, the memory 230, the sensor module 240, the display (touch screen display) 260, and the communication module 290. For example, the display 260 may be exposed through a first portion (e.g., a front surface) of the housing, and the sensor module 240 may be exposed through a second portion (e.g., a rear surface) different from the first portion.
According to an embodiment, the sensor module 240 may measure biometric information from the user. The biological information of the user may include, for example, at least one of information (e.g., body fat or body water), a stress index, an amount of motion, blood glucose, sleep duration, exercise time, heart rate information, and blood pressure measured by a Bioelectrical Impedance Analyzer (BIA).
According to an embodiment, the sensor module 240 (e.g., sensor module 176 of fig. 1) may be in contact with a portion of the user's body and may measure the user's blood pressure. For example, when sensor module 240 includes a photoplethysmogram (PPG) sensor, sensor module 240 may measure changes in systolic and diastolic blood vessel volume caused by changes in peripheral blood flow via the optical PPG sensor. PPG sensors can measure changes in the amount of blood in a blood vessel by using light transmitted onto the blood vessel. The PPG sensor may comprise at least one Photodiode (PD) and at least one Light Emitting Diode (LED). LEDs can convert electrical energy into light energy. The PD may convert light energy into electrical energy. When light from the LED reaches the user's skin, a portion of the light may be absorbed into the skin and the remaining reflected light may be detected by the PD. The LEDs may emit light at one or more wavelengths. For example, the LED may emit at least one of infrared light and visible light (red, blue, and/or green (RGB) light). A user of the electronic device 101 may touch a portion of the electronic device 101 including the PPG sensor with his finger and may remain touching for a certain time. This input (i.e., a long touch) may trigger a blood pressure measurement. During ventricular systole, the amount of light detected by PD may decrease as blood increases within the blood vessel. During ventricular diastole, the amount of light detected by PD may increase as blood decreases intravascularly. Thus, an Alternating Current (AC) signal may be generated from the PD. The PPG sensor may extract several parameters (e.g., peak size of the AC signal, dicrotic wave notch, interval between peaks, or area ratio of the waveform) by processing the AC signal, and may estimate blood pressure based on the extracted parameters. A technique of measuring blood pressure using a PPG sensor may be referred to as a Pulse Wave Analysis (PWA) technique.
For another example, sensor module 240 may include a PPG sensor, an acceleration sensor, and/or an Electrocardiogram (ECG) sensor. The ECG sensor may measure an ECG signal, which is an electrical biosignal generated due to contraction and relaxation of the heart. The acceleration sensor may measure a projected heart beat pattern (BCG signal) related to the mechanical movement of the heart. The electronic device 101 (e.g., processor 220) may determine the PTT from the heart to the peripheral vessel based on the pulse waves measured in the peripheral vessel by the PPG sensor, ECG, or BCG. PTT generally varies according to the resistance of the blood vessel. The electronic device 101 may estimate blood pressure information of the user based on a Pulse Wave Velocity (PWV) included in the PTT measurement. According to an embodiment, the electronic device 101 may measure both the pulse wave and the ECG, or may measure both the pulse wave and the BCG.
According to an embodiment, display 260 (e.g., display device 160 of fig. 1) may display various User Interfaces (UIs) to enable user calibration under control of processor 220. For example, the display 260 may display location information related to calibration. For another example, the display 260 may display a UI (showing the user's blood pressure) based on the calibration. According to an embodiment, the communication module 290 (e.g., the communication module 190 of fig. 1) may measure the location of the electronic device 101. For example, the communication module 290 may measure the position of the electronic device 101 through a communication module such as: global Positioning System (GPS), WiFi Positioning System (WPS), global navigation satellite system (GLONASS), or CPS (cyber physical system). In addition, the communication module 290 may be able to measure a location through a short-range wireless communication module such as bluetooth, BLE, WiFi, or NFC. The communication module 290 may communicate with an external device connected to the electronic device 101 under the control of the processor 220. The external electronic device may be, for example, a smartphone, a tablet, a wearable device, a measurement device, a medical device, or a server. According to an embodiment, the electronic device 101 may not include the communication module 290.
According to an embodiment, processor 220 (e.g., processor 120 of fig. 1) may be operably connected to sensor module 240, display 260, communication module 290, and memory 230 to perform all functions of electronic device 110. The processor 220 may include at least one processor and may be physically divided into a main processor for high-performance processing and an auxiliary processor for low-power processing. For example, the sensor module 240 may be connected with an auxiliary processor to perform continuous health monitoring of the user. According to various circumstances, the processor 220 may perform processing while switching between high performance processing and low power processing. Processor 220 may include, for example, an Application Processor (AP). The processor 220 may include a microprocessor or any suitable type of processing circuitry, such as one or more general purpose processors (e.g., an ARM-based processor), Digital Signal Processors (DSPs), Programmable Logic Devices (PLDs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs), Graphics Processing Units (GPUs), video card controllers, or the like. Further, it will be appreciated that when a general purpose computer accesses code that implements the processes shown herein, execution of the code transforms the general purpose computer into a special purpose computer for performing the processes shown herein. Certain functions and steps provided in the figures may be implemented in hardware, software, or a combination of both, and may be executed in whole or in part within the programmed instructions of a computer.
According to an embodiment, the processor 220 may determine a calibrated elapsed time, biological information, and/or blood pressure information. According to an embodiment, the elapsed time of a calibration may refer to the elapsed time from a previous calibration. Processor 220 may measure the biological or blood pressure information through sensor module 240, or may store the biological or blood pressure information detected from the user in memory 230 (e.g., as part of application 146). The biological information determined by the sensor module 240 may include, for example, at least one of information measured by BIA, stress index, amount of motion, blood glucose, sleep duration, time of motion, heart rate information, and ECG. The biological information determined in response to the user input may include, for example, at least one of a Body Mass Index (BMI), a stress index, blood glucose, heart rate information, and ECG.
According to an embodiment, the processor 220 may determine the reliability of the calibration based on at least one of an elapsed time of the calibration, biological information of the user, and blood pressure information of the user. For example, the processor 220 may apply the weight based on each of the elapsed time, the biological information, and the blood pressure information.
According to an embodiment, the processor 220 may determine whether an event related to calibration has occurred based on the reliability. The event related to calibration may be a point in time at which the calibration expires, hereinafter referred to as "expiration point in time". An expiration time point of the calibration may be determined based on the reliability of the calibration. In another example, the event may be related to a condition where the reliability of the calibration is less than a specified threshold. The threshold may include one or more thresholds.
According to an embodiment, the processor 220 may transmit the location information of the electronic device 101 to an external electronic device through the communication module 290, and may receive information related to calibration from the external electronic device. According to an embodiment, the processor 220 may display a User Interface (UI) for requesting calibration through the display 260. According to an embodiment, the processor 220 may notify the user that calibration is requested by sound or vibration. According to an embodiment, the processor 220 may store data in the memory 230 or may read data from the memory 230.
According to an embodiment, memory 230 (e.g., memory 130 of fig. 1) may store instructions used by processor 220 to perform operations of electronic device 101. According to an embodiment, the memory 230 may include information related to calibration. The information related to the calibration may refer to, for example, elapsed time, expiration time point, or reliability of the calibration. According to an embodiment, the memory 230 may store the user's biometric information and blood pressure values and location information related to calibration.
FIG. 3 shows a graph representing reliability of calibration according to an embodiment.
Referring to fig. 3, graphs 301, 302, and 303 may illustrate variations in reliability of calibration under different conditions. The graph shown in fig. 3 is shown for illustrative purposes only, and the reliability of the calibration described in the present disclosure is not limited thereto. In the graph 301, the graph 302, or the graph 303, the vertical axis may represent the reliability of the calibration, and the horizontal axis may represent time. The reliability of the calibration may be expressed as a value between 0 and 1, for example.
According to embodiments, the reliability of the calibration may continue to decrease over time due to changes in the biological information of the user, changes in the blood pressure information of the user, changes in the performance of the electronic device, or various other reasons that change over time. The reliability of the calibration may decrease proportionally to time or may suddenly decrease in certain situations. For example, as shown in graph 301, the reliability of the calibration may continue to decrease in proportion to time (e.g., elapsed time of the calibration). In another example, the electronic device may store a value corresponding to a weight of the user. As shown in the graph 302, when the value is suddenly changed from 50kg to 58kg, since one of the factors causing the blood pressure to rise increases, the reliability of the calibration may be lowered. The event of the user's weight gain may be notified to the electronic device 101 from an external electronic device (e.g., the electronic device 102, the electronic device 104, or the server 108 of fig. 1) or received through a user input. In another example, as shown in fig. 3, when a feature point such as a difference in blood pressure variability is detected, the reliability of calibration may be reduced. The electronic device 101 may measure various factors that affect blood pressure to measure or estimate the reliability of the calibration. Based on these factors, the electronic device 101 may determine an expiration time point for the calibration. The expiration point of the calibration may be a case where the reliability becomes "zero". When the expiration time point of the calibration elapses, the electronic apparatus 101 may provide a UI to the user to request the calibration.
According to an embodiment, the electronic device 101 may classify the reliability of the calibration into a plurality of levels. For example, referring to graph 301, the electronic device 101 may classify the reliability of the calibration into a higher level 310 (e.g., in the range of 0.7 to 1), a medium level 320 (e.g., in the range of 0.35 to 0.7), and a lower level 330 (e.g., in the range of 0 to 0.35). Thus, the grade varies with the reliability of the calibration. The electronic device 101 may provide the user with different UIs based on the level of reliability such that the requested degree of calibration corresponds to the current level of reliability.
Although the description made herein is related to determining the reliability of blood pressure calibration, the same principles may be applied to other biological information as well. For example, the electronic device 101 may determine the reliability of the calibration of the stress index or cardiovascular health index. According to an embodiment, the calibration of the cardiovascular health index is more reliable than the calibration of the blood pressure, since the calibrated expiration time point of the cardiovascular health index is later than the calibrated expiration time point of the blood pressure. Accordingly, the electronic device 101 may adaptively manage expiration time points for various calibrations according to the type of measurement information.
Fig. 4a is a flowchart illustrating an operation of an electronic device requesting calibration based on reliability of calibration according to an embodiment. The operations shown in fig. 4a and 4b may be performed by the electronic device 101 or the processor 220.
Referring to fig. 4a, in operation 405 of the method 400, the processor 220 may determine the reliability of the calibration based on at least one of the elapsed time of the calibration and the biological/blood pressure information of the user measured by the sensor module 240. According to an embodiment, the processor 220 may determine the reliability of the calibration periodically or whenever the user of the electronic device 101 measures his or her blood pressure through the sensor module 240.
For example, the reliability of the calibration may be expressed as the following mathematical formula 1.
[ mathematical formula 1]
Ri=Ri-1-(w1Δt+w2Δbio-info+w3ΔBPV)+b
In the mathematical formula 1, RiMay refer to the reliability of the current calibration (e.g., the second parameter at the second point in time), and Ri-1May refer to the reliability of a previous calibration (e.g., the first parameter at the first point in time). In addition, Δ t may refer to an elapsed time (e.g., a difference between a first time point and a second time point), Δ bio-info may refer to a change in biological information of the user (e.g., a difference of various parameters of the biological information compared to previously calibrated parameters), Δ BPV may refer to a change in blood pressure information of the user compared to previously calibrated, w1Can refer to the weight of Δ t, w2May refer to the weight, w, of Δ bio-info3May refer to the weight of Δ BPV and b may refer to the offset.
At operation 410, the processor 220 may determine whether an event related to calibration has occurred based on the reliability. An event may refer to, for example, the time at which the expiration time point of the calibration has elapsed. In another example, an event may refer to a point in time before the expiration point in time of the calibration. For example, if the processor 220 sets the expiration time point of the calibration to 10 days or later based on the reliability, the event may be set to five days, two days, or one day before 10 days. In another example, an event may relate to when the electronic device 101 reaches a preset location or geofence. In another example, the event may relate to whether the reliability of the calibration is less than or equal to a specified threshold, and thus the reliability of the calibration goes into a different level, as shown in FIG. 3. The threshold may include one or more thresholds. For example, the threshold may refer to the boundary between levels 310, 320, and 330 shown in the graph of FIG. 3.
At operation 415, the processor 220 may display a UI requesting calibration through the display 260. For example, the processor 220 may display the number of days remaining to the calibrated expiration time point via the display 260. The number of days remaining may be determined based on the current calibration reliability. According to another embodiment, the processor 220 may notify the user that calibration is needed by sound or vibration. According to an embodiment, the processor 220 may increase the frequency of notifications if the expiration time of the calibration is imminent or has elapsed. According to an embodiment, the processor 220 may request calibration by displaying a location or geofence associated with the calibration via the display 260. The location related to the calibration may comprise a location such as a hospital, fitness center, health center, gym or public facility, i.e. a location where electronic blood pressure monitoring is typically performed. The information about the location related to the calibration may be stored in the memory 230 in advance, or may be received by the electronic device from a server. According to an embodiment, if the reliability of the calibration is relatively high, the processor 220 may display the location with the wider radius. However, if the reliability of the calibration is relatively low, the processor 220 may highlight a location related to the calibration registered by the user, a location related to the calibration closest to the current position of the electronic apparatus 101, or a location where the calibration has been previously performed. According to an embodiment, the processor 220 may display the current location of the electronic device 101 and the location associated with the calibration. According to an embodiment, if the electronic device 101 enters a specified location or receives a user input selecting the specified location, the processor 220 may display a location where blood pressure monitors are held, a number or a waiting time of the blood pressure monitors, and the like in a pop-up window. If the electronic device 101 is in communication with the electronic blood pressure monitor, the electronic device 101 may display how to use the electronic blood pressure monitor via the display 260. After confirming the personal authentication process of the user, the user can measure the blood pressure of the user by using both the electronic apparatus 101 and the electronic blood pressure monitor. The calibration information measured by the electronic blood pressure monitor may be transmitted through a network, or may be transmitted through an authenticated cloud server.
According to an embodiment, after performing the calibration, the processor 220 may display the measured blood pressure via the display 260. According to an embodiment, the processor 220 may display the measured blood pressure and the reliability of the calibration.
Fig. 4b is a flowchart illustrating operations of an electronic device to provide information related to calibration timing according to an embodiment.
Referring to method 450 of fig. 4b, at operation 455, the processor 220 may receive first data from the sensor module 240 for a particular first duration. According to an embodiment, the processor 220 may receive first data from a sensor module 240 (e.g., a PPG sensor).
At operation 460, the processor 220 may determine a plurality of parameters based on the first data. According to an embodiment, the plurality of parameters may include at least one of biological information and blood pressure information (e.g., blood pressure values). The biological information may include, for example, at least one of information measured by BIA, stress index, quantity of motion, blood glucose, sleep duration, exercise time, heart rate information, and ECG.
At operation 465, the processor 220 may determine a first parameter (e.g., reliability) at a first point in time based at least in part on at least two of the plurality of parameters based on the first data determined in operation 460.
At operation 470, the processor 220 may receive second data from the sensor module 240 for a second duration different from the first duration.
At operation 475, the processor 220 may determine a plurality of parameters based on the second data. According to an embodiment, the plurality of second parameters may include at least one of biological information and blood pressure information (e.g., blood pressure values). The biological information may include, for example, at least one of information measured by BIA, stress index, quantity of motion, blood glucose, sleep duration, exercise time, heart rate information, and ECG.
At operation 480, the processor 220 may determine a second parameter (e.g., reliability) for a second point in time based at least in part on at least two of the plurality of parameters based on the second data determined in operation 475. Processor 220 may determine the second parameter according to equation 1 above.
At operation 485, the processor 220 may determine a calibration timing based at least in part on the second parameter. According to an embodiment, the calibration timing may be expressed as a number of days remaining until the calibration time, and the number of days remaining may be determined by multiplying the specified duration by the second parameter.
At operation 490, the processor 220 may provide information related to the calibration timing. For example, the processor 220 may display information related to at least one of the blood pressure value and the second parameter via the display 260.
Fig. 5 is a flowchart illustrating an operation of an electronic device requesting calibration based on reliability of calibration and a specified threshold according to an embodiment.
Referring to fig. 5, at operation 505 of method 500, the processor 220 may determine the reliability of the calibration. For example, the processor 220 may determine the reliability of the calibration based on at least one of biometric information of the user, elapsed time of the calibration, and blood pressure information.
At operation 510, the processor 220 may determine whether the determined reliability of the calibration is less than a threshold. The threshold may include one or more thresholds. For example, the threshold may refer to a boundary between the upper level 310, the medium level 320, and the lower level 330 of fig. 3. According to an embodiment, the threshold value may be set differently according to the country in which the electronic device 101 is located, the performance of the electronic device 101, the performance of the sensor module 240, and the purpose of use (e.g., whether the electronic device 101 is dedicated for medical purposes or healthcare purposes). If the reliability of the calibration is not less than the threshold, the processor 220 may repeat operations 505 and 510. If the reliability of the calibration is less than the specified threshold, processor 220 may perform operation 515.
At operation 515, the processor 220 may display a UI requesting calibration through a display or may inform a user of the request through sound or vibration. According to an embodiment, the processor 220 may adaptively display a UI requesting calibration based on the reliability of the changed calibration. For example, since a lower reliability of the calibration may indicate that the blood pressure information stored in the electronic device 101 is inaccurate, the processor 220 may perform a control operation such that the radius of the geo-fence is increased (more display of the blood pressure monitor may be allowed), or the frequency of notifications requesting the calibration may be increased. According to an embodiment, when a camera application or an Augmented Reality (AR) application is running in the electronic device 101, the processor 220 may display the location related to the calibration in the form of augmented reality.
Fig. 6 is a flowchart illustrating an operation in which the electronic device requests calibration based on an expiration time point of the calibration according to the embodiment.
Referring to fig. 6, at operation 605 of the method 600, the processor 220 may determine the reliability of the calibration. For example, the processor 220 may determine the reliability of the calibration based on at least one of biometric information of the user, elapsed time of the calibration, and blood pressure information of the user.
At operation 610, the processor 220 may determine whether the calibrated expiration time point has elapsed. If the expiration time point of the calibration has not elapsed, the processor 220 may repeat operations 605 and 610. However, if the calibrated expiration time point has elapsed, the processor 220 may perform operation 615.
In operation 615, the processor 220 may display a UI requesting calibration through a display or may inform a user of the request through sound or vibration. For example, the processor 220 may display a UI showing that the stored blood pressure information is inaccurate.
According to an embodiment, since the blood pressure information is inaccurate when the calibrated expiration time point elapses, the processor 220 may change the category related to the blood pressure information such that the blood pressure information is no longer dedicated for medical purposes, but only for health purposes.
Fig. 7 is a flowchart illustrating an operation in which an electronic device and an external electronic device share location information related to calibration according to an embodiment. The operation illustrated in fig. 7 may be an operation after the electronic apparatus 101 detects an event related to calibration, or an operation performed periodically by the electronic apparatus 101 regardless of whether the electronic apparatus 101 detects the event.
Referring to fig. 7, in a network environment 700 (e.g., network environment 700 of fig. 1), an external electronic device 701 may be an entity that stores calibration-related information. For example, the external electronic device 701 may be a smartphone, a tablet, a wearable device, a measurement device, a medical device, or a server.
In operation 705, the electronic device 101 may determine the location of the electronic device 101 through the communication module 290. For example, the electronic device 101 may measure the position of the electronic device 101 through a communication module such as GPS, WPS, GLONASS, or CPS. In addition, the communication module 290 can measure a position through a short-range wireless communication module such as bluetooth, BLE, WiFi, or NFC. According to an embodiment, the electronic device 101 may change the number of times the position of the electronic device 101 is determined based on the reliability of the calibration. For example, the electronic device 101 may increase the number of times the location of the electronic device 101 is determined, since a lower reliability of the calibration may correspond to stored blood pressure information being inaccurate.
In operation 710, the electronic device 101 may transmit the determined location information of the electronic device 101 to the external electronic device 701. According to an embodiment, the location information may include data for requesting location information related to calibration.
In operation 715, the electronic device 101 may receive location information related to calibration from the external electronic device 701. The location information may include information about a particular location or geofence. The location associated with the calibration may include a location such as a hospital, fitness center, health center, gym, or public facility.
At operation 720, the electronic device 101 may display the position of the electronic device 101 and location information related to the calibration through the display 260.
Fig. 8 illustrates a UI for providing location information related to calibration according to an embodiment.
Referring to fig. 8, the electronic device 101 may display a location related to calibration differently according to a level of reliability of the calibration. For example, if the reliability of the calibration is relatively high, the electronic device 101 may display location information based on the size of a city (e.g., based on a specified radius of 10km for the electronic device 101), as shown at reference numeral 801. In another example, if the reliability of the calibration is at a medium level, the electronic device 101 may display location information based on a neighborhood scale (e.g., based on a specified radius of 2km for the electronic device 101), as shown at reference numeral 802. In another example, if the reliability of the calibration is at a low level, or if the expiration time point of the calibration has passed, the electronic apparatus 101 may display location information near a specified radius (e.g., 1km), may display information of a location closest to the electronic apparatus 101, may display a path from the current position of the electronic apparatus 101 to the specified location (e.g., the closest location), as shown by reference numeral 803, or may display an image of the specified location, as shown by reference numeral 804. For example, when a camera application or AR application is running in the electronic device 101, the processor 220 may display the location related to calibration in the form of augmented reality. According to the embodiment, the electronic apparatus 101 may display detailed location information such as the number of floors of the location, the number of persons waiting at the location, an apparatus equipped at the location, and the like on an image of a specified location.
According to an embodiment, the electronic device 101 may display only a subset of the places received from the external electronic device 701. For example, the electronic device 101 may recommend to the user a location closest to the electronic device 101, as indicated by reference numeral 803. For another example, the electronic device 101 may recommend places located on a path between previously stored places (e.g., home, workplace, church, or school).
Fig. 9a and 9b illustrate embodiments of providing location information related to calibration based on geofences. Fig. 9a is a flow chart illustrating operations of an electronic device to provide location information related to calibration based on a geofence. Fig. 9b illustrates an operation of changing the radius of the geofence based on the reliability of the calibration.
Because frequent calibration provides more accurate blood pressure measurements, the electronic device 101 may request calibration from the user periodically or under certain conditions, even if no calibration-related events are detected. But to prevent the user from being too cumbersome, the electronic device 101 may request calibration from the user only if the electronic device 101 is located within a particular geo-fence.
Referring to the method 900 of fig. 9a, at operation 905, the processor 220 may set a radius of a geofence for location information related to calibration. For example, the processor 220 may perform operation 905 after receiving location information from the external electronic device 701 in operation 715 of fig. 7.
According to an embodiment, the radius of the geofence may be changed based on the reliability of the calibration. As the radius of the geofence decreases, the chances that the electronic device 101 is located in the geofence also decreases, and thus the number of times the user is notified to calibrate the blood pressure information also decreases. Conversely, as the radius of the geofence increases, the number of times the user is notified to calibrate the blood pressure information may increase. For example, referring to fig. 9b, when the reliability of the calibration is relatively high (e.g., a higher level as shown in fig. 3), the processor 220 may set the radius of the geofence to a specified radius (e.g., 10m), as indicated by reference numeral 901. When the reliability of the calibration is at a medium level, the processor 220 may set the radius of the geofence to a specified radius (e.g., 100m), as shown at reference numeral 902. For another example, if the reliability of the calibration is at a lower level, the processor 220 may set the radius of the geofence to a specified radius (e.g., 1km), as shown at reference numeral 903.
According to an embodiment, the radius of the geofence may be determined based on the number of locations associated with the calibration. For example, when the electronic device 101 is located in an area having a greater number of locations associated with calibration (such as a metropolitan area), the processor 220 may set the radius of the geofence to be relatively small. In another example, when the electronic device 101 is located in a rural area having a smaller number of locations associated with calibration, the processor 220 may set the radius of the geofence to be relatively large.
At operation 910, the processor 220 may determine whether the electronic device 101 enters within a set radius of the geofence. If the electronic device 101 does not enter the radius of the geofence, the processor 220 may repeatedly perform operation 910 without requesting calibration.
When the processor 220 detects that the electronic device 101 enters the set geofence, the processor 220 can display a UI requesting calibration. For example, the processor 220 may display location information related to calibration based on the specified radius, as shown by reference numerals 801 to 803 of fig. 8. In another example, the processor 220 may display detailed location information, such as the number of floors in the location, the number of people waiting in the location, the equipment provided in the location, etc., on an image of a specified location, as indicated by reference numeral 804.
Fig. 10 is a view illustrating a user interface for providing location information related to calibration in the form of a pop-up window according to an embodiment.
Referring to fig. 10, as indicated by reference numeral 1001, when the electronic device 101 receives a user input selecting a specific place or detects that the electronic device 101 enters the specific place, the electronic device 101 may display information on the selected place. The information about the place may include, for example, at least one of the type and number of equipped devices, the name of the place, the number of people waiting, and a telephone number.
FIG. 11 illustrates a user interface that represents a user's blood pressure based on the reliability of the calibration, according to an embodiment.
To represent the estimated blood pressure of the user, a higher weight may be applied to the latest (updated) calibration and the information impact under the previous calibration may be gradually reduced. The estimated blood pressure at almost the expiration time point may be updated with the new calibration information. The PPG log record data may be stored in the server for a predetermined period of time.
Referring to fig. 11, the electronic device 101 may display a blood pressure value estimated according to the reliability of calibration through the display 260. Blood pressure values may be displayed as systolic pressure (SBP), diastolic pressure (DBP), or Mean Arterial Pressure (MAP). For example, as shown by reference numeral 1101, when the reliability is at a higher level, since the estimated blood pressure represents higher accuracy, the electronic device 101 may display a blood pressure value having a narrower reliability interval (e.g., 4 mmHg). In addition, since the blood pressure value represents lower reliability as the reliability goes into a lower level, the electronic apparatus 101 may display a wider reliability section (for example, 10mmHg or 20mmHg) as indicated by reference numeral 1102 or 1103.
FIG. 12 illustrates another user interface that represents a user's blood pressure based on the reliability of the calibration, according to an embodiment.
Referring to fig. 12, the electronic device 101 may display blood pressure values over time. Graph 1201 may represent a blood pressure value determined each time electronic device 101 measures blood pressure. In the graph 1201, the horizontal axis may represent time or the number of times calibration has been performed. Graph 1202 may represent blood pressure values acquired on a particular date. In graph 1202, the horizontal axis may represent days. In graphs 1201 and 1202, the vertical axis may refer to the reliability of the calibration. The electronic device 101 may represent the Systolic Blood Pressure (SBP) and the Diastolic Blood Pressure (DBP) along the time axis in graph 1201 or graph 1202.
The electronic device 101 may display a reliability interval of the measured blood pressure value based on the reliability of the calibration. For example, in graph 1201, since the reliability of the calibration decreases with time, the electronic device 101 may display a wider reliability interval with time. When performing calibration at time 1210, the electronic device 101 may display a narrower reliability interval due to the increased reliability. In another example, in graph 1202, when the reliability decreases, the electronic device 101 may display the SBP value and the DBP value by relatively blurring them or displaying them in different colors. When the calibration is performed at the timing of reference numeral 1220, the electronic apparatus 101 can be restored to the original definition or color due to the increased reliability. In addition, the luminance of the reliability section may be changed based on the reliability.
As described above, an electronic device (e.g., electronic device 101 of fig. 1) may include a sensor module (e.g., sensor module 240 of fig. 2), a memory (e.g., memory 230 of fig. 2), a display (e.g., display 260 of fig. 2), and a processor (e.g., processor 220 of fig. 2). The processor may be configured to: determining biological information and blood pressure information of a user measured by a sensor; determining reliability of the calibration of the blood pressure information based on at least one of elapsed time of the calibration, the biological information, and the blood pressure information; determining whether an event related to the calibration occurs based on the reliability of the calibration; and displaying, through the display, a user interface (UI; one of reference numerals 801, 802, 803, and 804 of fig. 8, or reference numeral 1001 of fig. 10) requesting another calibration when it is determined that the event occurs.
According to an embodiment, the processor may be further configured to: when the reliability of the calibration is less than a specified threshold, a UI requesting another calibration is displayed via the display.
According to an embodiment, the specified threshold may include a plurality of thresholds, and the processor may be further configured to set the plurality of thresholds based on a reliability of the calibration.
According to an embodiment, the processor may be further configured to determine an expiration time point of the calibration based on the reliability of the calibration, and display, through the display, a UI requesting another calibration when the expiration time point of the calibration elapses.
According to an embodiment, the electronic device may further include a communication module (e.g., communication module 290 of fig. 2), and the processor may be further configured to: the method includes measuring a position of an electronic device through a communication module, transmitting information about the measured position to an external electronic device (e.g., the external electronic device 701 of fig. 7), receiving location information related to another calibration from the external electronic device, and displaying the received location information through a display.
According to an embodiment, the processor may be further configured to set a radius for displaying the location information based on the reliability of the calibration.
According to an embodiment, the processor may be further configured to set a radius of a geofence around the electronic device based on the reliability of the calibration.
According to an embodiment, the processor may be further configured to display, through the display, the blood pressure information of the user having a reliability section (one of reference numerals 1101, 1102, and 1103 of fig. 11) for representing reliability, and change a color, a brightness, and/or a size of the reliability section based on the reliability (e.g., reference numeral 1201 or 1202 of fig. 12).
As described above, a method of an electronic device (e.g., method 400 of fig. 4 a) may include: determining biological information and blood pressure information of a user measured by a sensor of an electronic device; determining reliability of the calibration of the blood pressure information based on at least one of elapsed time of the calibration, the biological information, and the blood pressure information (e.g., operation 405 of fig. 4 a); determining whether an event related to the calibration has occurred based on the reliability of the calibration (e.g., operation 410 of FIG. 4 a); and displaying, by a display of the electronic device, a UI requesting another calibration when it is determined that the event occurs (e.g., operation 415 of fig. 4 a).
According to an embodiment, determining whether an event has occurred may include determining whether the reliability of the calibration is less than a specified threshold (operation 510 of FIG. 5). According to an embodiment, the specified threshold may include a plurality of thresholds, and the method may further include setting the plurality of thresholds based on reliability of the calibration.
According to an embodiment, the method may further comprise: determining an expiration time point of the calibration based on the reliability of the calibration (operation 610 of fig. 6); and determining whether the event occurs may include determining whether an expiration time point of the calibration has elapsed.
According to an embodiment, the method may further comprise: measuring a position of the electronic device (e.g., operation 705 of FIG. 7); an electronic device that transmits information about the measured position to an external electronic device (e.g., operation 710 of fig. 7); receiving location information related to another calibration from the external electronic device (e.g., operation 715 of fig. 7); and displaying the received location information (operation 720 of fig. 7).
According to an embodiment, the method may further comprise: the radius for displaying the location information is set based on the reliability of the calibration (e.g., operation 905 of fig. 9 a).
According to an embodiment, the method further comprises: the blood pressure information of the user having a reliability section for representing the reliability is displayed through the display, and the color, brightness and/or size of the reliability section is changed based on the reliability.
As described above, an electronic device (e.g., electronic device 101 of fig. 1) may include: a housing (not shown); a touch screen display (e.g., display 260 of fig. 2) exposed through a first portion of the housing; a photoplethysmogram (PPG) sensor (e.g., sensor module 240) exposed through a second portion of the housing and configured to be in contact with a portion of the user's body such that the user's blood pressure is measured; wireless communication circuitry (e.g., communication module 290 of fig. 2) disposed within the housing; a processor (e.g., processor 220 of fig. 2) disposed within the housing and operatively connected with the touch screen display, the PPG sensor, and the wireless communication circuit; and a memory (e.g., memory 230 of fig. 2) disposed within the housing, operatively connected with the processor, and storing instructions. The instructions when executed may cause the processor to: receiving first data from a PPG sensor for a first duration; determining a plurality of first parameters from the first data; determining a first parameter for a first point in time based at least in part on at least two of the plurality of first parameters; receiving second data from the PPG sensor for a second time duration; determining a plurality of second parameters from the second data; determining a second parameter for a second point in time based at least in part on at least two of the plurality of second parameters; determining a calibration timing based at least in part on the second parameter; and displaying information related to the calibration timing on the touch screen display.
According to an embodiment, the plurality of first parameters and the plurality of second parameters may include at least two or more of information measured by a Bioelectrical Impedance Analyzer (BIA), a stress index, an amount of exercise, blood glucose, a sleep duration, an exercise time, heart rate information, and a blood pressure value.
According to an embodiment, the first parameter is represented as Ri-1The second parameter is represented as RiAnd the relationship between the first parameter and the second parameter is represented by equation 1.
According to an embodiment, the calibration timing may be expressed as the number of days remaining until calibration is required, and may be determined by multiplying a specified duration by RiTo determine the number of days remaining.
According to an embodiment, the instructions may further cause the processor to display information related to at least one of the blood pressure value and the second parameter on the touch screen display.
The electronic device according to various embodiments may be one of various types of electronic devices. The electronic device may comprise, 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. According to the embodiments of the present disclosure, the electronic devices are not limited to those described above.
It should be understood that the various embodiments of the present disclosure and the terms used therein are not intended to limit the technical features set forth herein to specific embodiments, but include various changes, equivalents, or alternatives to the respective embodiments. For the description of the figures, like reference numerals may be used to refer to like or related elements. It will be understood that a noun in the singular corresponding to a term may include one or more things unless the relevant context clearly dictates otherwise. As used herein, each of the phrases such as "a or B," "at least one of a and B," "at least one of a or B," "A, B or C," "at least one of A, B and C," and "at least one of A, B or C" may include any or all possible combinations of the items listed together with the respective one of the plurality of phrases. As used herein, terms such as "1 st" and "2 nd" or "first" and "second" may be used to distinguish one element from another element simply and not to limit the elements in other respects (e.g., importance or order). It will be understood that, if an element (e.g., a first element) is referred to as being "coupled to", "connected to" or "connected to" another element (e.g., a second element), it can be directly (e.g., wiredly) connected to, wirelessly connected to, or connected to the other element via a third element, when the term "operatively" or "communicatively" is used or not.
As used herein, the term "module" may include units implemented in hardware, software, or firmware, and may be used interchangeably with other terms (e.g., "logic," "logic block," "portion," or "circuitry"). A module may be a single integrated component adapted to perform one or more functions or a minimal unit or portion of the single integrated component. For example, according to an embodiment, the modules may be implemented in the form of Application Specific Integrated Circuits (ASICs).
The various embodiments set forth herein may be implemented as software (e.g., program 140) comprising one or more instructions stored in a storage medium (e.g., internal memory 136 or external memory 138) that is readable by a machine (e.g., electronic device 101). For example, under control of a processor, a processor (e.g., processor 120) of the machine (e.g., electronic device 101) may invoke and execute at least one of the one or more instructions stored in the storage medium, with or without the use of one or more other components. This enables the machine to be operable to perform at least one function in accordance with the invoked at least one instruction. The one or more instructions may include code generated by a compiler or code capable of being executed by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Where the term "non-transitory" simply means that the storage medium is a tangible device and does not include a signal (e.g., an electromagnetic wave), the term does not distinguish between data being semi-permanently stored in the storage medium and data being temporarily stored in the storage medium.
According to embodiments, methods according to various embodiments of the present disclosure may be included and provided in a computer program product. The computer program product may be used as a product for conducting a transaction between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or may be distributed via an application Store (e.g., Play Store)TM) The computer program product is published (e.g. downloaded or uploaded) online, or may be distributed (e.g. downloaded or uploaded) directly between two user devices (e.g. smartphones). If published online, at least part of the computer program product may be temporarily generated, or at least part of the computer program product may be stored at least temporarily on a machine-readable storage medium (such as a manufacturer's server)A server of an application store or a memory of a forwarding server).
According to various embodiments, each of the above components (e.g., modules or programs) may comprise a single entity or multiple entities. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, multiple components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as the corresponding one of the plurality of components performed the one or more functions prior to integration. Operations performed by a module, program, or another component may be performed sequentially, in parallel, repeatedly, or in a heuristic manner, or one or more of the operations may be performed in a different order or omitted, or one or more other operations may be added, in accordance with various embodiments.
While the disclosure has been shown and described with reference to various embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims and their equivalents.
Some of the above-described embodiments of the present disclosure may be implemented in hardware, firmware, or by executing software or computer code that may be stored in a recording medium such as a CDROM, Digital Versatile Disk (DVD), magnetic tape, RAM, floppy disk, hard disk, or magneto-optical disk, or by network downloading computer code that is initially stored on a remote recording medium or a non-transitory machine-readable medium and stored on a local recording medium, so that the methods described herein may be presented via such software stored on the recording medium using a general purpose computer or special purpose processor, or stored in programmable or dedicated hardware such as an ASIC or FPGA. As will be understood in the art, a computer, processor, microprocessor controller, or programmable hardware includes memory components such as RAM, ROM, flash memory, etc., which may store or receive software or computer code that, when accessed and executed by a computer, processor, or hardware, implements the processing methods described herein.

Claims (15)

1. An electronic device, the electronic device comprising:
a sensor;
a memory;
a display; and
a processor for processing the received data, wherein the processor is used for processing the received data,
wherein the processor is configured to:
determining biological information and blood pressure information of the user measured by the sensor;
determining reliability of the calibration of the blood pressure information based on at least one of elapsed time of calibration, the biological information, and/or the blood pressure information;
determining whether an event related to the calibration has occurred based on the reliability of the calibration; and
upon determining that the event has occurred, displaying, via the display, a User Interface (UI) requesting another calibration.
2. The electronic device of claim 1, wherein the processor is further configured to:
displaying, by the display, the UI requesting another calibration when the reliability of the calibration is less than a specified threshold.
3. The electronic device of claim 2, wherein the specified threshold comprises a plurality of thresholds, and
wherein the processor is further configured to: setting the plurality of thresholds based on a reliability of the calibration.
4. The electronic device of claim 1, wherein the processor is further configured to:
determining an expiration time point of the calibration based on the reliability of the calibration; and
displaying, by the display, the UI requesting another calibration when the expiration time point of the calibration elapses.
5. The electronic device of claim 1, further comprising:
a communication module for communicating with the communication module,
wherein the processor is further configured to:
measuring, by the communication module, a position of the electronic device;
transmitting information about the measured position to an external electronic device;
receiving location information related to another calibration from the external electronic device; and
displaying the received location information through the display.
6. The electronic device of claim 5, wherein the processor is further configured to:
setting a radius for displaying the location information based on the reliability of the calibration.
7. The electronic device of claim 5, wherein the processor is further configured to:
setting a radius of a geofence around the electronic device based on the reliability of the calibration.
8. The electronic device of claim 1, wherein the processor is further configured to:
displaying, by the display, the blood pressure information of a user having a reliability interval for representing the reliability; and
changing a color, brightness, and/or size of the reliability interval based on the reliability.
9. A method of an electronic device, the method comprising:
determining biological information and blood pressure information of a user measured by a sensor of the electronic device;
determining reliability of calibration of the blood pressure information based on at least one of elapsed time of calibration, the biological information, and the blood pressure information;
determining whether an event related to the calibration has occurred based on the reliability of the calibration; and
displaying, by a display of the electronic device, a User Interface (UI) requesting another calibration when it is determined that the event has occurred.
10. The method of claim 9, wherein determining whether the event occurred comprises:
determining whether the reliability of the calibration is less than a specified threshold.
11. The method of claim 10, wherein the specified threshold comprises a plurality of thresholds, and
wherein the method further comprises: setting the plurality of thresholds based on a reliability of the calibration.
12. The method of claim 9, further comprising:
determining an expiration time point of the calibration based on the reliability of the calibration;
wherein determining whether the event occurs comprises: determining whether an expiration time point of the calibration has elapsed.
13. The method of claim 9, further comprising:
measuring a position of the electronic device;
transmitting information about the measured position to an external electronic device;
receiving location information related to another calibration from the external electronic device; and
the received location information is displayed.
14. The method of claim 13, further comprising:
setting a radius for displaying the location information based on the reliability of the calibration.
15. The method of claim 9, further comprising:
displaying, by the display, the blood pressure information of a user having a reliability interval for representing the reliability; and
changing a color, brightness, and/or size of the reliability interval based on the reliability.
CN201980008465.2A 2018-01-19 2019-01-07 Device and method for determining calibration timing of blood pressure measurement of electronic device Active CN111629659B (en)

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KR20190088847A (en) 2019-07-29

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