KR102414731B1 - Electronic device and method for measuring vital signals - Google Patents

Abstract

The present invention relates to an electronic device and method for measuring a biosignal.
The present invention provides a process for detecting a motion of an electronic device, a process for measuring a biosignal at least once when the detected motion is equal to or less than a threshold value, a process for analyzing a parameter of the measured biosignal, and the analysis It may include the process of converting the parameter to biometric information.

Description

Electronic device and method for measuring biosignals

The present invention relates to an electronic device and method for measuring a biosignal.

Recently, various services and additional functions provided by portable electronic devices are gradually expanding. In order to increase the utility value of the electronic device and satisfy various needs of users, various applications executable in the electronic device are being developed.

Through such an electronic device, a user can measure his/her own bio-signals, and for this reason, mobile health care is in the spotlight. It is one of the biosignals that can be easily measured through electrocardiogram (ECG), photoplethysmography (PPG), ballistocardiogram (BCG), and impedance plethysmography. Since this heart rate measurement method is non-invasive and contains a variety of health-related information, it is considered an optimal measurement method for mobile health care. Through this, heart rate variability (HRV) can be measured, and the degree of equilibrium between the autonomic nervous system of the sympathetic nervous system and the parasympathetic nervous system can be monitored using the heart rate variability.

The analysis method for the heart rate variability and the definition of parameters in the time and frequency domains are already well known in academia, and various parameters can be obtained through heart rate variability analysis. In general, parameters in the frequency domain mainly for stress measurement is being used

Korean Patent Publication No. 10-2012-0033777 (2012.04.09) Korean Patent Publication No. 10-2012-0131898 (2012.12.05) Korean Patent Laid-Open Patent No. 10-2010-0008875 (2010.01.27) Korean Patent Publication No. 10-2013-0093925 (2013.08.23)

However, a method for calculating a more specific stress index has not been proposed in the prior art, and it is only suggested that if the heart rate variability is measured, stress can be measured using the increase or decrease of the corresponding parameter.

For example, in the related art (Patent Publication No. 10-2012-0033777), stress is determined through parameters in the frequency domain of the heart rate variability, but in order to analyze the heart rate variability in this frequency domain, a measurement time of at least 2 minutes is required. Application to mobile health care devices is not easy. In addition, another prior art (Patent Publication No. 10-2012-0131898) suggests that it is necessary to measure the heart rate variability in minutes to calculate the stress index, and that the stress index, fatigue index, and health index can be obtained using the heart rate variability. Although it is disclosed that it is possible instead of blood sugar, blood pressure, body temperature, and weight, it is impossible to analyze the heart rate variability using these blood sugar, blood pressure, body temperature, and weight. In addition, another prior art (Patent Publication No. 10-2010-0008875) discloses that it takes 5 minutes to perform frequency domain analysis and nonlinear analysis of heart rate variability, and reads and analyzes electrocardiogram data from memory, but in measuring the stress index, By applying the same method without reflecting the heart rate variability between individuals, individual deviations were not reflected in the stress measurement.

The above-mentioned conventional techniques were applicable only to on-demand type products that can measure only when the user operates the electronic device with the intention of measuring the stress. In addition, the prior art requires the user to stand still without moving for at least 2 minutes in order to measure stress. and did not provide a quantitative method for relieving stress or a method for relieving stress.

Therefore, the user feels the need to manage stress by measuring the biosignal without the user's intention to analyze the stress, showing the analyzed result to the user, and comparing the user's own stress index with the average stress index of the same age group There is a need to quantify and show comparison results to users.

Accordingly, various embodiments of the present invention provide an electronic device and method for measuring a biosignal.

To achieve the above, an embodiment provides a method for measuring a biosignal of an electronic device, the method comprising: detecting a motion of the electronic device; measuring the biosignal at least once when the detected motion is equal to or less than a threshold value; , a process of analyzing a parameter of the measured bio-signal, and a process of converting the analyzed parameter into bio-information.

In addition, one embodiment for achieving the above is an electronic device for measuring a biosignal, a first sensor unit for detecting a motion of the electronic device, and at least one biosignal when the detected motion is less than or equal to a threshold value It may include a second sensor unit that measures the number of times, and a control unit that analyzes the measured parameter of the bio-signal and converts it into bio-information.

In addition, an embodiment for achieving the above is an electronic device for measuring a biosignal, a first sensor for detecting a movement of the electronic device, a second sensor for measuring a biosignal, and the first sensor When the sensed motion is less than or equal to a threshold value, the control unit may include a control unit that measures the biosignal at least once through the second sensor.

In addition, an embodiment for achieving the above is an electronic device for measuring a biosignal, a first sensor for detecting a movement of the electronic device, a second sensor for measuring a biosignal, and the first sensor When the detected motion is less than or equal to a threshold value, the control unit may include a control unit that converts the bio-signal measured by the second sensor into bio-information.

According to various embodiments of the present disclosure, by providing an electronic device and method for measuring a biosignal, it is possible to compare one's own stress index with a stress index of the same age group, and compare one's previous stress index with a current stress index . In addition, according to various embodiments of the present invention, a guide for relieving stress may be provided so that the user can relieve stress, and the provided guide and the user's respiration may be compared and output in real time.

In addition, according to various embodiments of the present disclosure, when the movement is less than a predetermined threshold value, the user's bio-signals are measured, and the measured bio-signals are combined and converted into bio-information, thereby enabling efficient stress measurement.

1 illustrates a network environment including electronic devices according to various embodiments of the present disclosure.
2 is a block diagram of an electronic device for measuring a biosignal according to various embodiments of the present disclosure.
3A is a perspective view of an electronic device according to one of various embodiments of the present disclosure;
3B is a perspective view illustrating a body part of an electronic device viewed from another direction according to one of various embodiments of the present disclosure;
3C is a diagram illustrating a sensor module of an electronic device according to one of various embodiments of the present disclosure.
4A is an exemplary diagram of a patch-type electronic device for measuring a biosignal according to an embodiment of the present invention.
4B is another exemplary diagram of a patch-type electronic device for measuring a biosignal according to an embodiment of the present invention.
4C is an exemplary view in which the electronic device is mounted on a part of the body (chest or wrist) according to an embodiment of the present invention.
4D is an exemplary view in which the electronic device is worn on a wrist according to an embodiment of the present invention.
4E is an exemplary view in which the electronic device is worn on the forehead according to an embodiment of the present invention.
4F is an exemplary view in which the electronic device according to an embodiment of the present invention is worn on an ankle.
5 is a flowchart illustrating a method of measuring a biosignal according to an embodiment of the present invention.
6A is a diagram illustrating a comparison between a user's stress index and an average stress index of the same age group according to an embodiment of the present invention.
6B is an exemplary diagram illustrating a comparison result when a user's stress index is higher than the average stress index of the same age group according to an embodiment of the present invention.
7 is a flowchart illustrating a process of measuring a biosignal and storing a stress index in response to the measured biosignal according to an embodiment of the present invention.
8 is a flowchart illustrating a process of combining bio-signals and converting them into bio-information according to an embodiment of the present invention.
9A is an exemplary diagram illustrating a section for measuring a biosignal according to an embodiment of the present invention.
9B is an exemplary diagram illustrating movement intensity according to an embodiment of the present invention.
9C is an exemplary diagram illustrating a change in stress by measuring stress during one day according to an embodiment of the present invention.
10 is a flowchart illustrating a process of comparing a current stress index with an own average stress index according to an embodiment of the present invention.
11A is a diagram illustrating a comparison between a user's current stress index and a pre-stored average stress index according to an embodiment of the present invention.
11B is an exemplary diagram illustrating a user's average stress index for each time period according to an embodiment of the present invention.
11C is an exemplary diagram comparing the current stress index and the average stress index by day according to an embodiment of the present invention.
11D is an exemplary diagram comparing the current stress index and the average stress index by month according to an embodiment of the present invention.
11E is an exemplary diagram comparing a current stress index and an average stress index for each day of the week according to an embodiment of the present invention.
11F is an exemplary diagram comparing the current stress index and the average stress index on weekdays and weekends according to an embodiment of the present invention.
11G is an exemplary diagram comparing the current stress index and the average stress index in working hours and non-working hours according to an embodiment of the present invention.
12 is a flowchart illustrating a process of outputting a personalized breathing guide to reduce stress when stress is high, performing actual breathing, and outputting a comparison result with the guide according to an embodiment of the present invention.
13 is an exemplary diagram illustrating in real time breathing for reducing the stress index in a state in which a guide is output according to an embodiment of the present invention.
14 is a flowchart illustrating a method of measuring a biosignal according to another embodiment of the present invention.
15A is an exemplary diagram illustrating a stress index displayed in real time in response to measurement of a biosignal according to an embodiment of the present invention.
15B is an exemplary diagram illustrating a stress index corresponding to a biosignal measured for a predetermined time according to an embodiment of the present invention.
16A is a graph illustrating an electrocardiogram (ECG) in a biosignal according to an embodiment of the present invention.
16B is a graph illustrating a ballistocardiogram (BCG) in a biosignal according to an embodiment of the present invention.
16C is a graph illustrating photoplethysmography (PPG) in a biosignal according to an embodiment of the present invention.
16D is a graph illustrating impedance plethysmography in a biosignal according to an embodiment of the present invention.
16E is a graph illustrating an RR interval in an electrocardiogram (ECG) according to an embodiment of the present invention.
16F is a graph illustrating a JJ interval in a ballistocardiogram (BCG) according to an embodiment of the present invention.
17A is a diagram showing the correlation between the results of analysis with standard 5-minute data and the results of analysis with data of different lengths for each parameter in the time domain for each age group according to an embodiment of the present invention.
17B and 17C are diagrams showing the correlation between the results of analysis with data of standard 5-minute length and the results of analysis with data of different lengths for each parameter in the frequency domain by age group according to an embodiment of the present invention. .
18 is a block diagram of an electronic device according to various embodiments of the present disclosure;
19 illustrates a communication protocol 1800 between a plurality of electronic devices (eg, a first electronic device 1810 and a second electronic device 1830) according to various embodiments of the present disclosure.

Hereinafter, the present disclosure will be described with reference to the accompanying drawings. As the present disclosure is capable of various changes and may have various embodiments, specific embodiments are illustrated in the drawings and the related detailed description is set forth. However, this is not intended to limit the present disclosure to specific embodiments, and should be understood to include all modifications and/or equivalents or substitutes included in the spirit and scope of the present disclosure. In connection with the description of the drawings, like reference numerals have been used for like elements.

Expressions such as “comprises” or “may include” that may be used in the present disclosure indicate the existence of the disclosed function, operation, or component, and do not limit one or more additional functions, operations, or components. In addition, in the present disclosure, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification is present, but one or more It is to be understood that this does not preclude the possibility of addition or presence of other features or numbers, steps, operations, components, parts, or combinations thereof.

In the present disclosure, expressions such as “or” include any and all combinations of the words listed together. For example, "A or B" may include A, may include B, or may include both A and B.

In the present disclosure, expressions such as “first”, “second”, “first”, or “second” may modify various components of the disclosure, but do not limit the components. For example, the above expressions do not limit the order and/or importance of corresponding components. The above expressions may be used to distinguish one component from another. For example, both the first user device and the second user device are user devices, and represent different user devices. For example, without departing from the scope of the present disclosure, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

When an element is referred to as being “connected” or “connected” to another element, it is understood that it may be directly connected or connected to the other element, but other elements may exist in between. it should be On the other hand, when it is said that a certain element is "directly connected" or "directly connected" to another element, it should be understood that the other element does not exist in the middle.

Terms used in the present disclosure are used only to describe specific embodiments, and are not intended to limit the present disclosure. The singular expression includes the plural expression unless the context clearly dictates otherwise.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs. Terms such as those defined in a commonly used dictionary should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present disclosure. does not

The electronic device according to the present disclosure may be a device including a display control function. For example, the electronic device includes a smart phone, a tablet personal computer (PC), a mobile phone, a video phone, an e-book reader, a desktop personal computer (PC), and a laptop computer. PC (laptop personal computer), netbook computer (netbook computer), PDA (personal digital assistant), PMP (portable multimedia player), MP3 player, mobile medical device, camera, or wearable device (eg: It may include at least one of a head-mounted-device (HMD) such as electronic glasses, an electronic garment, an electronic bracelet, an electronic necklace, an electronic accessory, an electronic tattoo, or a smart watch.

According to some embodiments, the electronic device may be a smart home appliance having a display control function. Smart home appliances include, for example, a television, a digital video disk (DVD) player, an audio device, a refrigerator, an air conditioner, a vacuum cleaner, an oven, a microwave oven, a washing machine, an air purifier, a set-top box, and a TV. It may include at least one of a box (eg, Samsung HomeSync™, Apple TV™, or Google TV™), game consoles, an electronic dictionary, an electronic key, a camcorder, or an electronic picture frame.

According to some embodiments, the electronic device includes various medical devices (eg, magnetic resonance angiography (MRA), magnetic resonance imaging (MRI), computed tomography (CT), imagers, ultrasound machines, etc.), navigation devices, and GPS receivers. (global positioning system receiver), EDR (event data recorder), FDR (flight data recorder), automotive infotainment device, marine electronic equipment (eg, marine navigation system and gyro compass, etc.), avionics, It may include at least one of a security device, a head unit for a vehicle, an industrial or household robot, an automatic teller's machine (ATM) of a financial institution, or a point of sales (POS) of a store.

According to some embodiments, the electronic device is a piece of furniture or building/structure including a display control function, an electronic board, an electronic signature receiving device, a projector, or It may include at least one of various measuring devices (eg, water, electricity, gas, or radio wave measuring devices). The electronic device according to the present disclosure may be a combination of one or more of the various devices described above. Also, the electronic device according to the present disclosure may be a flexible device. Also, it is apparent to those skilled in the art that the electronic device according to the present disclosure is not limited to the above-described devices.

Hereinafter, an electronic device according to various embodiments will be described with reference to the accompanying drawings. The term user used in various embodiments may refer to a person who uses an electronic device or a device (eg, an artificial intelligence electronic device) using the electronic device.

1 illustrates a network environment including electronic devices according to various embodiments of the present disclosure.

Referring to FIG. 1 , the electronic device 101 includes a bus 110 , a processor 120 , a storage unit 130 , an input/output interface 140 , a display 150 , a communication interface 160 , and a biosignal controller ( 170) may be included.

Electronic devices according to various embodiments of the present disclosure may include various electronic devices capable of transmitting and receiving data and performing arbitrary operations by transmitting or receiving biosignals. The electronic device may include a smart phone, a mobile phone, a laptop computer, a door lock, an air conditioner, a washing machine, a note PC, a tablet PC, a smart TV, and the like. In addition, the electronic device may include a wearable electronic device capable of measuring a biosignal by being mounted on a specific part of the human body, storing the measurement result therein, or transmitting the measured biosignal to a smart phone, a mobile phone, or a notebook computer. .

The bus 110 may be a circuit that connects the aforementioned components to each other and transmits communication (eg, a control message) between the aforementioned components.

The processor 120 includes, for example, the above-described other components (eg, the storage 130 , the input/output interface 140 , the display 150 , the communication interface ( 160), or by receiving a command from the biosignal controller 170, etc.), deciphering the received command, and executing an operation or data processing according to the decoded command.

The storage unit 130 includes the processor 120 or other components (eg, the input/output interface 140 , the display 150 , the communication interface 160 , or the biosignal controller 170 ). It may store instructions or data received from or generated by the processor 120 or other components. The storage unit 130 may include, for example, programming modules such as a kernel 131 , middleware 132 , an application programming interface (API) 133 , or an application 134 . Each of the above-described programming modules may be composed of software, firmware, hardware, or a combination of at least two or more thereof.

The kernel 131 is the other programming modules, for example, the middleware 132, the API 133, or the system resources used to execute the operation or function implemented in the application 134 (for example) : The bus 110, the processor 120, the storage unit 130, etc.) can be controlled or managed. In addition, the kernel 131 may provide an interface capable of accessing, controlling or managing individual components of the electronic device 101 from the middleware 132 , the API 133 , or the application 134 . have.

The middleware 132 may perform an intermediary role so that the API 133 or the application 134 communicates with the kernel 131 to exchange data. In addition, in relation to the work requests received from the application 134 , the middleware 132 provides, for example, a system resource (eg: Control (eg, scheduling or load balancing) of work requests is performed using a method such as assigning priorities that can use the bus 110 , the processor 120 , or the storage unit 130 ). can do.

The API 133 is an interface for the application 134 to control functions provided by the kernel 131 or the middleware 132, for example, file control, window control, image processing or character control, etc. It may include at least one interface or function (eg, command) for

According to various embodiments, the application 134 is an SMS/MMS application, an e-mail application, a calendar application, an alarm application, a health care application (eg, an application for measuring the amount of exercise or blood sugar) or an environment information application ( For example: applications that provide barometric pressure, humidity or temperature information, etc.). Additionally or alternatively, the application 134 is related to information exchange between the electronic device 101 and an external electronic device (eg, the first external electronic device 102 and/or the second external electronic device 104 ). It can be an application. The electronic device 101 and the first external electronic device 102 may be connected through a wired/wireless 164 , and the electronic device 101 and the second external electronic device 104 may be connected through a network 162 . can be connected And, the application related to the information exchange, for example, a notification relay application for delivering specific information to the external electronic device, or a device management application for managing the external electronic device may include

For example, the notification delivery application transmits notification information generated by another application (eg, SMS/MMS application, e-mail application, health care application, or environment information application, etc.) of the electronic device 101 to an external electronic device (eg, the It may include a function of transmitting to the first external electronic device 102 and/or the second external electronic device 104 . Additionally or alternatively, the notification delivery application may receive notification information from, for example, an external electronic device (eg, the electronic device 104 ) and provide the notification information to the user. The device management application is, for example, a function (eg, the external electronic device itself (or some component parts) for at least a part of an external electronic device (eg, the electronic device 104 ) that communicates with the electronic device 101 . ) of turn on / turn off or control of the brightness (or resolution) of the display), an application operating in the external electronic device, or a service provided by the external electronic device (eg, a call service or message service) can be managed (eg installed, uninstalled, or updated).

According to various embodiments of the present disclosure, the application 134 determines the property (eg, type of electronic device) of the external electronic device (eg, the first external electronic device 102 and/or the second external electronic device 104 ). Depending on the specified application may be included. For example, when the external electronic device is an MP3 player, the application 134 may include an application related to music reproduction. Similarly, when the external electronic device is a mobile medical device, the application 134 may include an application related to health management. According to an embodiment, the application 134 is an application designated for the electronic device 101 or an external electronic device (eg, the first external electronic device 102 , the second external electronic device 104 , or the server 106 ). It may include at least one of the applications received from

The input/output interface 140 receives commands or data input from a user through an input/output device (eg, a sensor, a display, a keyboard, or a touch screen), for example, the processor 120 and the data through the bus 110 . It can be transmitted to the storage unit 130 , the communication interface 160 , or the biosignal control unit 170 . For example, the input/output interface 140 may provide data on a user's touch input through a touch screen to the processor 120 . In addition, the input/output interface 140 is received from, for example, the processor 120 , the storage unit 130 , the communication interface 160 , or the biosignal control unit 170 through the bus 110 . The command or data may be output through the input/output device (eg, a speaker or a display). For example, the input/output interface 140 may output voice data processed through the processor 120 to the user through a speaker.

The display 150 may display various information (eg, multimedia data or text data, etc.) to the user.

The communication interface 160 may connect communication between the electronic device 101 and an external device (eg, the first external electronic device 102 , the second external electronic device 104 , or the server 106 ). For example, the communication interface 160 may be connected to the network 162 through wireless communication or wired communication to communicate with the external device. The wireless communication is, for example, Wifi (wireless fidelity), BT (Bluetooth), NFC (near field communication), GPS (global positioning system) or cellular communication (eg, LTE, LTE-A, CDMA, WCDMA, UMTS) , WiBro, GSM, etc.). The wired communication may include, for example, at least one of universal serial bus (USB), high definition multimedia interface (HDMI), recommended standard 232 (RS-232), and plain old telephone service (POTS).

According to one embodiment, the network 162 may be a telecommunications network. The communication network may include at least one of a computer network, the Internet, the Internet of things, and a telephone network. According to an embodiment, a protocol (eg, transport layer protocol, data link) for communication between the electronic device 101 and an external device (eg, the first external electronic device 102 and the second external electronic device 104 ) layer protocol or physical layer protocol) may be supported by at least one of the application 134 , the application programming interface 133 , the middleware 132 , the kernel 131 , or the communication interface 160 .

Each of the first and second external electronic devices 102 and 104 may be the same as or different from the electronic device 101 . According to one embodiment, the server 106 may include a group of one or more servers. According to various embodiments, all or a part of the operations (or functions) implemented in the electronic device 101 are one or a plurality of other electronic devices (eg, the first external electronic device 102 , the second external electronic device). 104 or server 106). According to an embodiment, when the electronic device 101 needs to perform a function or service automatically or upon request, the electronic device 101 performs the function or service itself instead of executing the function or service itself. Additionally, at least some functions related thereto may be requested from another device (eg, the first electronic device 102 , the second electronic device 104 , or the server 106 ). The other electronic device (eg, the first electronic device 102 , the second electronic device 104 , or the server 106 ) executes the requested function or additional function, and transmits the result to the electronic device 101 . can be transmitted as The electronic device 101 may provide the requested function or service by processing the received result as it is or additionally. For this purpose, for example, cloud computing, distributed computing, or client-server computing technology may be used.

The server 106 may include a biosignal control server module 108 capable of supporting the biosignal controller 170 implemented in the electronic device 101 . For example, the biosignal control server module 108 includes at least one component of the biosignal control unit 170 to perform at least one of the operations performed by the biosignal control unit 170 (eg, proxy). )can do.

The biosignal control unit 170 includes at least information obtained from other components (eg, the processor 120 , the storage unit 130 , the input/output interface 140 , or the communication interface 160 ). You can process some and present them to the user in a variety of ways. For example, the biosignal control unit 170 allows the electronic device 101 to communicate with another electronic device (eg, the electronic device 104 or the server 106 ) using or independently of the processor 120 . At least some functions of the electronic device 101 may be controlled to interwork. According to an embodiment, at least one component of the biosignal control unit 170 may be included in the server 106 (eg, the biosignal control server module 108 ), and the biosignal control unit 170 from the server 106 ) can be supported by at least one operation implemented in. Additional information on the biosignal controller 170 is provided through FIGS.

2 is a block diagram of an electronic device for measuring a biosignal according to various embodiments of the present disclosure;

Referring to FIG. 2 , the electronic device 101 for measuring a biosignal according to various embodiments of the present disclosure includes a sensor unit 210 , a storage unit 170 , a display 150 , and a biosignal controller 170 . may include

The sensor unit 210 may include a motion sensor 220 , a biosignal measuring sensor 230 , and an analog to digital converter (ADC) 211 . The sensor unit 210 may read the sensed value by turning on each of the sensors when necessary. In addition, the ADC 211 may be included in the sensor unit or may be separately provided in the electronic device 101 . The motion sensor 220 may include a sensor for detecting motion, such as an acceleration sensor 221 and a gyro sensor (not shown). The motion sensor 220 according to various embodiments of the present disclosure may further include various sensors for detecting motion in addition to the acceleration sensor 221 and the gyro sensor. In addition, the biosignal measuring sensor 230 may include an optical sensor 231 , a GSR sensor 232 , a temperature sensor 233 , and a heart rate sensor 234 . The biosignal measuring sensor 230 according to various embodiments of the present disclosure may further include various sensors capable of measuring a user's biosignal in addition to the above-described sensors.

The motion sensor 220 may output a data value according to the movement of the electronic device 101 . The motion sensor 220 may include an acceleration sensor 221 . According to an embodiment, the acceleration sensor 221 may include a 2-axis (X-axis, Y-axis) acceleration sensor or a 3-axis (X-axis, Y-axis, Z-axis) acceleration sensor.

The bio-signal measuring sensor 230 may measure various bio-signals of the human body and output various bio-sensor values related to the human body. According to an embodiment, the bio-signal measuring sensor 230 may measure various bio-signals for determining whether the electronic device 101 is worn on the human body, and output corresponding bio-sensor values.

According to various embodiments, the biosignal measuring sensor 230 includes a photo sensor 231 , a Galvanic Skin Response sensor (GSR) 232 , a temperature sensor 225 , and a heart rate sensor 234 . may include at least one of The biosignal measuring sensor 230 may further include other biometric sensors capable of measuring whether the electronic device 101 is worn on the human body or various biosignals of the human body in addition to the above-described sensors.

The photosensor 231 may convert light itself or information included in the light into an electrical signal. The photosensor 231 may include a light emitting unit and a light receiving unit, and may output light through the light emitting unit and receive light through the light receiving unit. When the electronic device 101 is worn on the human body, the optical sensor 231 may be close to or come into contact with a part of the human body. When the optical sensor 231 approaches or comes into contact with a part of the human body, the light output through the light emitting unit may be irradiated to the human body, and the light reflected or transmitted light by the light irradiated to the human body may be received by the light receiving unit. . The photosensor 231 may output light through the light emitting unit and then measure and output the amount of light received through the light receiving unit. The measured amount of light may be used to determine whether the optical sensor 231 approaches or comes into contact with a part of the human body, and whether the optical sensor 231 approaches or comes into contact with a part of the human body is determined by the electronic device 101 . It can be used to determine whether or not worn on the human body. Alternatively, the photosensor 231 may be used to measure a biosignal by increasing or decreasing the amount of light received through the light receiving unit. For example, it may be used to measure blood pressure or heart rate through photoplethysmography (PPG) or the like.

The GSR sensor 232 may include a current skin resistance response sensor. The GSR sensor 232 may be any one of an electrodermal response (EDR) sensor, a psycho galvanic reflex (PGR) sensor, and a skin conductance response (SCR) sensor. The GSR sensor 232 includes an ohmmeter and can measure the electrical conductivity between two points on the skin. When the electronic device 101 is worn on the human body, the GSR sensor 232 may be close to or come into contact with a part of the human body. When the GSR sensor 232 approaches or comes into contact with a part of the human body, a predetermined small amount of current flows through the skin of the human body, and then the GSR sensor 232 may measure the electrical conductivity between two points on the skin to output a skin resistance value. The measured electrical conductivity may be used to determine whether the GSR sensor 232 is close to or in contact with a part of the human body, and whether the GSR sensor 232 is close to or in contact with a part of the human body is determined by the electronic device 101 It can be used to determine whether it is worn on the human body.

The temperature sensor 233 may be a sensor that measures temperature by using an internal resistance change value, a voltage change value, or a current change value when an internal resistance value, voltage, or current is changed due to a change in temperature. When the electronic device 101 is worn on the human body, the temperature sensor 233 may be close to or come into contact with a part of the human body. The temperature sensor 233 may output an internal resistance change value, a voltage change value, or a current change value due to heat of the human body when it approaches or comes into contact with a part of the human body. The measured internal resistance change value, voltage change value, or current change value may be used to determine whether the temperature sensor 233 is close to or in contact with a part of the human body, and the temperature sensor 233 is close to or in contact with a part of the human body. The contact may be used to determine whether the electronic device 101 is worn on the human body.

The heartbeat sensor 234 may measure a biosignal related to a heartbeat in a mechanical, electrical, or optical manner. The heart rate sensor 234 includes an electrocardiogram sensor (not shown) for measuring an electrocardiogram, a trajectory sensor (not shown) for measuring trajectory, and a heart sound sensor ( not shown) may be included. In addition, the heart rate sensor 234 according to various embodiments of the present disclosure may include various sensors capable of measuring biological signals of the human body in addition to the above-described sensors. In addition, the biosignal measuring sensor 230 may include other sensors as long as it is a sensor capable of measuring a biosignal capable of determining whether the electronic device 101 is worn on the human body in addition to the above-described sensors. For example, a heart rate variability (HRV) sensor that measures a pulse wave signal may be included. The electronic device 101 may be any one of various devices that can be worn on a user's body part.

In addition, the storage unit 130 may include a biosignal acquisition module 240 , a parameter analysis module 250 , a stress index conversion module 260 , and a stress relief guide providing module 270 . At least one of the bio-signal measurement module 240 , the parameter analysis module 250 , the stress index conversion module 260 , and the stress relief guide providing module 270 is at least one sensor configured in the sensor unit 210 . It may be loaded into the biosignal controller 170 in response to the operation.

In addition, the biosignal control unit 170 stores a ROM 172 in which a control program for controlling the electronic device 101 is stored and signals or data input from the outside of the electronic device 101 , or stores the electronic device 101 . It may include a RAM (RAM) 171 used as a storage area for the work performed in 101 . Also, the biosignal controller 170 may include a single core, a dual core, a triple core, or a quad core. The CPU (not shown), the ROM 172 and the RAM 171 may be interconnected through an internal bus (not shown).

When at least one sensor included in the sensor unit 210 is operated, the biosignal control unit 170 loads the corresponding module into the RAM 171 to perform at least one function performed by each module. have. In addition, a function performed by at least one of the biosignal measurement module 240 , the parameter analysis module 250 , the stress index conversion module 260 , and the stress relief guide providing module 270 may be performed by the processor 120 , , the biosignal control unit 170 may be referred to as a control unit.

According to an embodiment, the bio-signal control unit 170 obtains the bio-signal measured from the sensor unit 210, analyzes the acquired bio-signal parameter, and converts the analyzed parameter into bio-information; The converted stress index may be compared with a stress index of the same age group as the user who measured the biosignal, and a comparison result may be output.

The biosignal control unit 170 may acquire the biosignal from the sensor unit 210 at least once. The biosignal controller 170 may sense the movement of the electronic device 101 to obtain the biosignal, and when the movement is less than a predetermined (or preset) threshold, the biosignal is transmitted to the sensor unit 210 ) can be obtained from The predetermined threshold value may be variably adjusted. The biosignal control unit 170 may receive information on whether or not respiration and a respiration amount have been sensed through at least one sensor provided in the sensor module 1740, may determine that respiration has been detected, and may analyze the respiration amount.

When the movement is less than a threshold value, the biosignal controller 170 may measure the biosignal for a predetermined time (eg, 30 seconds) to analyze the biosignal parameter. When the movement smaller than the threshold value continues, the biosignal may be continuously measured for the predetermined time. In addition, when the movement smaller than the threshold continues for a shorter time than a predetermined time to obtain the biosignal parameter (eg, 10 seconds), the biosignal can be measured only during a period in which there is no movement. The biosignal controller 170 may add up biosignals corresponding to a difference between time periods for measuring biosignals that is less than or equal to a predetermined time, and analyze the parameters of the summed biosignals. If two non-consecutive sections are spaced apart shorter than a predetermined threshold value, they may be continuously combined to obtain a parameter of a biosignal. For example, when non-continuous intervals for measuring biosignals are 10 seconds, 15 seconds, or 5 seconds, and data intervals are separated from each other by a predetermined time or less (eg, 1 minute) (eg, when biosignals are measured) Thereafter, when a biosignal is not measured because movement occurs for 1 minute), the biosignal controller 170 may combine them to create 30 seconds and use it to obtain a biosignal parameter. In addition, the predetermined threshold value may be variably adjusted.

The biosignal controller 170 may acquire a biosignal at least once and analyze parameters of the obtained biosignal. The biosignal controller 170 may analyze a parameter in the time domain of the obtained biosignal, and may analyze a displacement of the parameter using a beating interval of the biosignal. The biosignal may include at least one of heartbeat, pulse, impedance plethysmography, ballistocardiogram (BCG), electrocardiogram (ECG), photoplethysmography (PPG), and blood flow. The parameter is a heart rate (HR), a heart rate cycle, a standard deviation of N-N intervals (SDNN), and the square root of the mean value of the squared difference between successive heart rate cycle values (Root Mean of Sum of Squared Differences: RMSSD) and a percentage of successive normal NN intervals difference greater than 50 msec: pNN50 in which a difference between consecutive heartbeat cycles in the entire heartbeat cycle exceeds 50 ms. The beat interval may include at least one of a heart rate cycle (RR interval), a pulse interval, and a JJ interval of the biosignal. The heartbeat cycle represents an interval between two peaks of the electrocardiogram, the JJ cycle represents an interval between two peaks of the heart trajectory, and the pulse cycle represents an interval between two peaks of the impedance blood volume and the optical blood flow.

The biosignal controller 170 may convert the analyzed parameter into biometric information. The biosignal controller 170 may take the natural logarithm (ln) of the reciprocal of the parameter and convert it into biometric information (eg, a stress index). The biosignal controller 170 may convert the analyzed parameter into biometric information by taking a natural logarithm of a value obtained by dividing 1000 by a heart rate variability (HRV). The biosignal controller 170 may compare the converted stress index with the stress index of the same age group as the user who measured the biosignal. The biosignal controller 170 may receive the user's age, and may compare the converted stress index with the inputted user's age and the average stress index of the same age or the same age group. Through this comparison, it can be determined whether the stress index of the user who has measured the biosignal is higher or lower than the average stress index of the same age or the same age group. The average stress index may be stored in advance in the electronic device 101 or may be received from the server 106 .

The biosignal control unit 170 may compare the converted stress index with the inputted user's age and the average stress index of the same age or the same age group, and output the comparison result through the display 150 . The biosignal controller 170 may output the comparison result through at least one of voice, vibration, and a graphic user interface (GUI). The biosignal controller 170 may generate a guide indicating a breathing method for reducing stress in response to the comparison result, and may output the generated guide through the display 150 . When the converted stress index is higher than the stress index of the same age group, the biosignal controller 170 may generate and output a guide for lowering the stress index. When the converted stress index is lower than the stress index of the same age group, the biosignal controller 170 may generate and output a guide indicating that the stress index is low and including information beneficial to health. The guide may include at least one of information for lowering the stress index, a warning informing that the stress index is high, and a breathing method for lowering the stress index. When respiration is sensed from the user in a state in which the guide is output, the biosignal control unit 170 may compare the sensed respiration with the guide in real time and output it. The biosignal control unit 170 may score the stress index changed by the sensed respiration and output the stress index changed according to the respiration, so that the user can recognize that the stress index is changed by respiration.

Also, the biosignal controller 170 may store the converted stress index. The biosignal control unit 170 may calculate an average of the stress index in at least one unit of time period, day, day, month, and year, and store it in the storage unit 130 . The storage unit 130 may store the converted stress index in response to the bio-signal measured by the user in real time, and average the stored stress index in at least one unit of time period, day, day, month, and year. can be calculated and stored. In addition, the storage unit 130 may store the average stress index for each age group (eg, teens, 20s, 30s...), periodically or aperiodically from the server 106 that provides this average stress index. can be received and stored.

According to an embodiment, the bio-signal acquisition module 240 may acquire at least one bio-signal measured from the sensor unit 210 . The electronic device 101 or at least one sensor module provided in the electronic device 101 may detect the movement of the electronic device 101 . The electronic device 101 may be a wearable electronic device that measures a user's biosignal, and may be mounted on a part of the body. The electronic device 101, which can be mounted on such a body part, can measure the user's heartbeat, pulse, electrocardiogram, optical blood flow, and blood flow through the biosignal acquisition module 240, as well as control it by the user's breathing It can measure heart rate, pulse, electrocardiogram, light blood flow and blood flow that is changed or changed. The biosignal acquisition module 240 may measure the biosignal at least once when the movement is less than a predetermined threshold. The biosignal acquisition module 240 may detect the movement of the electronic device 101 and determine whether to measure the biosignal. Upon detecting the movement of the electronic device 101 , the biosignal acquisition module 240 may acquire at least one biosignal from the sensor unit 210 . The electronic device 101 may measure the amount of sweat through a GSR sensor (not shown), and may determine whether the user is in a physically stable state based on the measurement result. In addition, when it is determined that the user is in a physically stable state, the electronic device 101 may measure a reference stress level required for the relative stress analysis by performing a stress analysis. The biosignal may include at least one of heartbeat, pulse, ballistocardiogram (BCG), electrocardiogram (ECG), photoplethysmography (PPG), and blood flow. The beating interval may include or be at least one of a heart rate period (RR interval), a pulse interval, and a JJ period (interval) of the biosignal. The biosignal measurement module 210 may measure the biosignal in real time and transmit the measured value to the parameter analysis module 250 .

According to an embodiment, the parameter analysis module 250 may analyze the parameters of the biosignal through the biosignal received from the biosignal acquisition module 240 . The parameter analysis module 250 may analyze a parameter in the time domain of the measured biosignal. Also, the parameter analysis module 250 may analyze the displacement of the parameter using the beating interval of the biosignal. The parameter analysis module 250 includes a heartbeat, a pulse, an optical blood flow, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG), and a blood flow obtained by the biosignal acquisition module 240 . At least one beat interval may be measured. The parameter analysis module 250 calculates a number obtained by squaring a difference between a heart rate (HR), a heartbeat cycle, a standard deviation of N-N intervals (SDNN), and successive heartbeat cycle values from the measured biosignals. At least one of the Root Mean of Sum of Squared Differences (RMSSD) and the percentage of successive normal NN intervals difference greater than 50 msec: pNN50 in the total heart rate cycle parameters can be analyzed. The beat interval may analyze a parameter including at least one of a heart rate period (RR interval), a pulse period (pulse interval), and a JJ period (JJ interval) of the biosignal. The heartbeat cycle represents an interval between two peaks of the electrocardiogram, the JJ cycle represents an interval between two peaks of the heart trajectory, and the pulse cycle represents an interval between two peaks of the optical blood flow and the optical blood flow. In addition, the parameter analysis module 250 may transmit the analyzed result to the stress index conversion module 230 .

According to an embodiment, the stress index conversion module 260 may convert the parameter received from the parameter analysis module 250 into biometric information. The stress index conversion module 260 may convert the parameter into biometric information (eg, a stress index) by taking a natural logarithm (ln) of the reciprocal of the parameter. The stress index conversion module 260 may convert 1000 into biometric information (eg, stress index) by taking a natural logarithm of a value obtained by dividing 1000 by heart rate variability (HRV). The stress index conversion module 260 may compare the converted stress index with the stress index of the same age group as the user who measured the biosignal. The stress index conversion module 260 receives the user's input from the user or through the age of the user stored in the electronic device 101, the current stress index of the user who measured the biosignal through the biosignal measurement module 210, and the same age group of the user. can be compared with the average stress index of Through this comparison, it can be determined whether the stress index of the user who has measured the biosignal is higher or lower than the average stress index of the same age or the same age group.

According to an embodiment, the stress relief guide providing module 270 includes a result of comparing the stress index of the user with the stress index of the user and the same age group through the stress index received from the stress index conversion module 260 guides can be created. When the converted stress index is lower than the stress index of the same age group, the stress relief guide providing module 270 may generate a guide indicating that the stress index is low and including information beneficial to health. The guide may include at least one of information for lowering the stress index, a warning informing that the stress index is high, and a breathing method for lowering the stress index. The biosignal controller 170 may store the converted stress index. The biosignal control unit 170 may calculate an average of the stress index in at least one unit of time period, day, day, month, and year, and store it in the storage unit 130 . The guide may include a result of comparing the current stress index of the user and the stress index corresponding to at least one unit of time, day, day, month, and year of the pre-stored user's stress index. The guide may display the stress index of the same age group and the stress index changed by respiration measured in real time in real time. The guide may include a comparison result of at least one of a maximum stress index and a minimum stress index of each time period, date, day of week, month and year, and a current stress index. At least one sensor of the sensor unit 210 or the sensor module 1740 may measure the user's respiration in real time.

In addition, at least one function performed by the biosignal acquisition module 240 , the parameter analysis module 250 , the stress index conversion module 260 , and the stress relief guide providing module 270 is performed by the biosignal controller 170 . may be or may be performed in the processor 120 .

3A is a perspective view of an electronic device according to one of various embodiments of the present disclosure, and FIG. 3B is a perspective view illustrating a body part of the electronic device according to one of various embodiments of the present disclosure when viewed from another direction; 3c is a diagram illustrating a sensor module of an electronic device according to one of various embodiments of the present disclosure.

Referring to FIG. 3A , an electronic device 101 according to an embodiment of the present invention exemplifies a wearable electronic device such as a watch, an armband, a hairband, or an anklet. However, various embodiments of the present invention are not limited thereto, and a bracelet, a strip, a band, an attachable (band-aid) band, a belt, an ear-type earphone, a headphone, a clothing type, a shoe type, a HMD (Head Mounted Display), a hat It may be one of a type, a glove type, a thimble type (finger-tip wear type), a clip type, an arm band type, a contact lens device, a digital garment, and a remote control. Also, the electronic device 101 according to various embodiments of the present disclosure may be variously applied to a portion of the user's body where curvature exists. An example of a body part where curvature exists in the user's body includes a wrist, a wrist, or an ankle. In addition, the electronic device according to various embodiments of the present disclosure can be conveniently worn on various parts of the user's body according to the configuration of the wearable part.

The electronic device 101 according to one of various embodiments of the present disclosure may include a main body 310 and a wearing unit 320 including wearing members (including a band or a strap). The body part 310 may be configured to be coupled to or detachably from the wearing part 320 . The main body 310 includes a display device 311 for displaying various types of information, a pressing key (eg, a side key 331) for inputting various types of information, a sensor unit (eg, a biosignal measuring sensor), , a touch input unit, etc. may be disposed. The body portion 310 may include a front surface (F) and a rear surface (R) contacting the user's body in a worn state, and the display device 311 is the front surface (F) of the main body portion 310 . For example, the sensor unit may be disposed on at least one of the rear surface R of the main body 310 and the wearing unit 320 . In addition, the sensor unit may be disposed on the rear surface (R) of the body unit 310 or may be disposed at any position of the wearing unit 320 that can be in close contact with the user.

The body portion 310 may have a bar-type shape and at least partially have a curvature corresponding to the user's body. For example, the main body 310 may have a rectangular shape extending in the vertical direction (Y-axis direction) and have a curvature. Binding grooves 340a and 340b engaged with the wearing part 320 may be formed on a side surface of the main body 310 . A plurality of the binding grooves may be formed on the side surface of the main body 310 or may have a closed curve shape extending along the circumference of the main body 310 .

The wearing part 320 is made of an elastic material, so that the body part 310 can be stably worn on the user's body, and the body part 310 can be in close contact with the user's body skin if necessary. . In addition, the main body 310 is configured to be detachable from the wearing part 320 , and the wearing part 320 can be replaced and used according to a user's personality or taste. In another embodiment, the portion coupled to the body portion 310 in the wearing portion 320 (eg, the seating portion 321) is configured to be elastically deformable, and a portion of the wearing surface that is in close contact with the user's body (for example) : The inner surfaces of the first and second wearing members 320) may not be made of an elastic material, etc. The wearing part 320 may include an opening through which the body part 310 is detachably extended while extending in one direction. The seating part 321 is formed to surround the periphery of the opening, and at least the seating part 321 of the wearing part 320 may be made of an elastic material. When coupled to the part 320 , at least a portion of the seating part 321 may be fitted into a binding groove extending along the side surface of the body part 310 .

The first and second wearing members 340a and 340b may respectively extend away from each other in at least a portion of the seating part 321 in the longitudinal direction Y of the body part 310 . However, when considering that the electronic device 101 is worn on the user's body, the first and second wearing members 340a and 340b in the thickness direction of the body part 310 with respect to the seating part 321 . (Z) may have a curved shape. Also, the wearing unit 320 may include means for fastening the first and second wearing members 340a and 340b by weaving them together.

The body part 310 , for example, the body housing 330 may have a curvature shape. Since the seating part 321 is made of an elastic material and elastically deforms, it can be coupled while being deformed to match the shape of the body part 310 . When the wearable part 320 has a changeable structure, it can be implemented in various designs or colors to be used interchangeably according to a user's taste. For example, the wearable part 320 may be used as an accessory that represents one's own individuality.

Referring to FIG. 3B , the main body 310 has a curvature, and the front F of the main housing 330 has a display 311 disposed so that viewing the displayed screen should be convenient, and the rear R ) should be comfortable to wear on the wrist, and since the sensor module 210 (eg, a biosignal measuring sensor) is disposed, it may provide a shape in close contact with the user's wrist.

The body housing 330 may have an appropriate curvature in consideration of the user's body shape, for example, the thickness and curvature of the wrist, thereby improving the user's fit and compatibility with various consumer wrist circumferences. A curved display device 311 is provided on the front surface of the main body housing 330, a sensor module S, for example, a biometric sensor, is provided on the rear surface R, and the rear surface R is the user's body (eg, : wrist). As mentioned above, the body housing 330 has a curvature in consideration of the user's body shape, and the sensor unit 210 can be closely attached to the user's body. The sensor unit 210 provided in the body unit 310 may include at least one of an optical sensor, a GSR sensor, a temperature sensor, and a heart rate sensor. Although the display 311 exemplifies a shape reflecting the curved surface of the user's body, it may be configured as a flat (LCD, OLED) display, a curved display, or a flexible display.

The sensor unit 210 may include a sensor interface unit 360 disposed on the rear surface R of the body unit 330 , for example, an interface window. In order to dispose the sensor interface unit 360, a protrusion (not shown) may be formed on the rear surface R. As the sensor interface unit 360 is disposed on the protrusion, in detecting a biosignal, the sensor module 210 may be more closely attached to the user's body. Connection members 350 , for example, charging terminals, may be arranged on the rear surface R of the main body 330 . The arrangement of the connection members 350 may be located adjacent to the sensor module S.

Referring to FIG. 3C , the sensor unit 210 includes an acceleration sensor 221 and biometric sensors for measuring biosignals, such as a heart rate sensor 234 , a GRS sensor 232 , and a temperature sensor 233 . As a module type, it may be disposed on at least one of the rear surface R of the main body housing 33 and the wearing part 320 . In addition, the sensor unit may be disposed on the rear surface (R) of the body unit 310 or may be disposed at any position of the wearing unit 320 that can be in close contact with the user.

According to an embodiment, the acceleration sensor 221 may be a 2-axis (X-axis, Y-axis) acceleration sensor or a 3-axis (X-axis, Y-axis, Z-axis) acceleration sensor. The biological unit 210 may measure various biological signals of the human body to output various biological sensor values related to the human body, and at least one of the biological sensors may be activated to detect a wearing state. According to an embodiment, the heart rate sensor 234 may be activated, the GRS sensor 232 may be activated, or the temperature sensor 233 may be activated to detect the wearing state. Alternatively, two or more sensors may be activated. In addition, other biometric sensors for detecting a sensing value for determining whether the electronic device 101 is worn may be included.

4A is an exemplary diagram of a patch-type electronic device for measuring a biosignal according to an embodiment of the present invention, and FIG. 4B is another exemplary diagram of a patch-type electronic device for measuring a biosignal according to an embodiment of the present invention, FIG. 4c is an exemplary view in which the electronic device according to an embodiment of the present invention is mounted on a part of the body (chest or wrist), and FIG. 4d is an exemplary view in which the electronic device according to an embodiment of the present invention is worn on a wrist; FIG. 4E is a diagram illustrating an electronic device worn on a forehead according to an embodiment of the present invention, and FIG. 4F is a diagram illustrating an electronic device worn on an ankle according to an embodiment of the present invention.

The electronic device 101 according to an embodiment of the present invention may include a wearable (or patch-type) electronic device provided with at least one sensor for measuring a user's bio-signal, and the electronic device 101 or at least one The sensor may be mounted on any part of the body. In addition, the electronic device 101 according to an embodiment of the present invention may receive the bio-signal measured from the at least one sensor, analyze the received parameter, and convert the analyzed parameter into bio-information, in this case , the at least one sensor may be structurally separated from the electronic device and mounted on the body, and the electronic device 101 may include various electronic devices such as a mobile terminal, a mobile phone, a notebook computer, and a tablet PC that a user can carry. can

Referring to FIG. 4A , the patch-type electronic device 404 according to an embodiment of the present invention includes an adhesive portion 401 that is adhered to the skin of the human body, and a pad 403 that is attached to the human body and flexibly bends in response to the curved surface of the human body. ) and may be integral. The electronic device 404 may be attached to a specific part of the body through the adhesive part 401 , and may maintain attachment due to the pad 403 even when the surface of the body is bent. In addition, the exterior of the electronic device 404 may include a switch 402 for controlling the operation of the electronic device 404 . The switch 402 may control ON/OFF of the electronic device 404 . In addition, a hole (not shown) for measuring a biosignal may be formed in the adhesive part 401 , and the electronic device 404 may measure a biosignal through the hole. In addition, the patch-type electronic device 404 may transmit the measured biosignal to the electronic device 101 .

Referring to FIG. 4B , the patch-type electronic device 406 according to another embodiment of the present invention may be integrated with the adhesive part 405 attached to the skin of the human body. The electronic device 406 may be attached to a specific part of the human body through the adhesive part 405 . In addition, the exterior of the electronic device 404 may include a switch 407 for controlling the operation of the electronic device 404 . In addition, a hole (not shown) for measuring a biosignal may be formed in the adhesive part 405 , and the electronic device 406 may measure a biosignal through the hole. The patch-type electronic device 406 may transmit the measured biosignal to the electronic device 101 . The appearance of the patch-type electronic device of FIGS. 4A and 4B is only an example, and the design of the patch-type electronic device according to an embodiment of the present invention can be freely changed to easily measure a biosignal, and depending on the location where the body is attached Size and design are subject to change.

Referring to FIG. 4C , a user may wear an electronic device (eg, a smart watch) 410 equipped with the at least one sensor on their wrist. Also, the electronic device 410 may receive the biosignal measured from the patch-type electronic device (eg, a heartbeat measuring device) 420 attached to the chest. The electronic devices 410 and 420 may include a sensor for measuring bio-signals. In this case, the electronic devices 410 and 420 transmit the measured bio-signals to the user's mobile terminal, mobile phone, notebook, tablet PC, etc. It can be transmitted to various electronic devices. Alternatively, the electronic devices 410 and 420 may transmit biometric information obtained by using the measured biosignal to various electronic devices such as a user's mobile terminal, mobile phone, notebook computer, and tablet PC.

Referring to FIG. 4D , the electronic device 101 may be an arm band 430 that can be worn on an arm. The arm band 430 may determine whether the movement intensity is worn on the arm when the movement intensity change pattern is a predetermined pattern by calculating the movement intensity in a predetermined time unit and determining the change in the movement intensity. The arm band 430 may perform sleep monitoring when worn on the arm.

Referring to FIG. 4E , the electronic device 101 may be a hair band 440 that can be worn on the head. The hair band 440 may determine whether the movement intensity is worn on the head when the movement intensity change pattern is a predetermined pattern by calculating the movement intensity in a predetermined time unit and determining the change in the movement intensity. The hair band 440 may perform sleep monitoring when worn on the head.

Referring to FIG. 4F , the electronic device 101 may be an anklet 450 that can be worn on the ankle. The anklet 450 may determine whether the movement intensity is worn on the ankle when the movement intensity change pattern is a predetermined pattern by calculating the movement intensity in a predetermined time unit and determining the change in the movement intensity. The anklet 450 may perform sleep monitoring when worn on the ankle. The present invention may be mounted anywhere on the user's body that can measure the user's bio-signals in these various electronic devices. In addition, the electronic device according to various embodiments of the present disclosure may be mounted anywhere on the user's body that can measure the user's bio-signals other than the user's wrist, ankle, forehead, and chest.

At least one of the electronic devices 101 , 404 , 406 , 410 , 420 , 430 , 440 , and 450 according to various embodiments of the present disclosure may detect a motion in order to measure a biosignal, and the motion is a predetermined threshold. If less than the value, the biosignal may be measured. At least one of the electronic devices 101 , 404 , 406 , 410 , 420 , 430 , 440 , and 450 may include an acceleration sensor, an optical sensor, a GSR sensor, a temperature sensor, and a heart rate sensor capable of detecting a movement and measuring a biosignal. At least one sensor may be mounted. In addition, the electronic device according to various embodiments of the present disclosure may be equipped with various sensors capable of detecting a motion and measuring a biosignal in addition to the above-described sensors.

5 is a flowchart illustrating a method of measuring a biosignal according to an embodiment of the present invention.

Hereinafter, a method of measuring a biosignal according to an embodiment of the present invention will be described in detail with reference to FIG. 5 .

The electronic device 101 may measure the biosignal for a predetermined time ( 510 ). The electronic device 101 may measure the biosignal at least once. The electronic device 101 may measure the biosignal at least once for a predetermined time (eg, 30 seconds). The predetermined time may be in seconds or minutes. In addition, the measurement may be measured in ms (or seconds). The predetermined time and the time of the measurement unit (eg, ms) may be variably adjusted.

Measurement times according to parameters of biosignals according to an embodiment of the present invention are shown in [Table 1] below.

HRV variables Length(s) Correlation p-value HR 10 0.9321 0.5879 SDNN 240 0.9866 0.1280 RMSSD 30 0.7716 0.0905 pNN50 60 0.9168 0.1278 LF 90 0.8636 0.0975 HF 20 0.6709 0.1863 TF 240 0.9989 0.0971 VLF 270 0.9997 0.2663 nLF 90 0.8452 0.6357 nHF 90 0.8452 0.6357 LF/HF 90 0.8151 0.6357

[Table 1] shows the time domain parameters HR, SDNN, RMSSD, and pNN50, and frequency domain parameters LF (low-frequency) and HF (high-frequency) through the Kruskal-Wallis test. ), TF (time-frequency), VLF (very low-frequency), nLF (normalized low-frequency), nHF (normalized high-frequency), LF/HF (low-frequency/ high-frequency) determined minimum analysis Correlation with values obtained through time and standard 5-minute analysis and p-value are shown.

The Kruskal-Wallis test is a method of arranging data between two different clusters in order of size and ranking them, and then testing them using the average of the rankings. When this Kruskal-Wallis test is performed, a p-value is output, and this p-value is a criterion for judging whether the null hypothesis is correct or not. Such a null hypothesis usually has a definite conditional difference between the results of the two sample groups being compared. Or to hypothesize that they do not belong to the same population.

The p-value is a criterion for judging whether the null hypothesis is correct or not. For example, if the p-value is very small, the null hypothesis may be rejected. For example, to show that two groups are significantly different (that is, there is a significant difference in the means of the two groups), a condition of p-value < 0.05 or p-value < 0.01 is usually used. If , satisfies these conditions, the null hypothesis is rejected. The time domain parameters HR, SDNN, RMSSD and pNN50 and the frequency domain parameters LF, HF, TF, VLF, nLF, nHF, LF/HF have p-values of p-value < 0.05 or p-value <0.01 Because the condition of , the null hypothesis that the two groups are significantly different is rejected. Therefore, it can be seen that there is no statistically significant difference between the values measured for each parameter during the corresponding time period and the values measured for 5 minutes.

And, the correlation indicates the degree of linearity between two groups or whether a linear relationship exists between the two groups. When the value measured in one group increases, it is measured in the other group. When one value also increases, positive linearity exists. Conversely, when the value measured in one group increases and the value measured in the other group decreases, negative linearity exists. The correlation indicates the degree of this linearity. 17A, 17B, and 17C show the correlation between the results of analysis with data of different lengths for each parameter in the time domain and each parameter in the frequency domain and the result of analysis with data of standard 5-minute length, respectively. As a diagram showing age groups, it shows the results of measuring each parameter in [Table 1] for various times for each age group.

As shown in [Table 1], in the case of the time domain parameters HR, SDNN, RMSSD, and pNN50, the data lengths of 10 sec, 240 sec, 30 sec, and 60 sec, respectively, have statistically similar values to the 5-minute data. In general, SDNN is related to stress, and since RMSSD has a high correlation with SDNN, in the present invention, biosignals can be measured without distortion even with sufficient RMSSD for 30 seconds instead of SDNN, which requires at least 240 seconds. In addition, the present invention may use SDNN because it is possible to measure involuntary and continuous biosignals in a wearable device such as a wrist watch type device.

Then, the electronic device 101 may analyze the parameter variation in the time domain using the measured biosignal ( S512 ), and may convert the analyzed parameter into biometric information ( 514 ). The electronic device 101 may measure the biosignal at least once, and may analyze a parameter of the measured biosignal. The electronic device 101 may analyze the parameter in the time domain of the measured biosignal, and may analyze the displacement of the parameter using the beating interval of the biosignal. The parameter in the time domain of the heartbeat edge may be the square root of an average value of the squared difference between successive heartbeat cycle values, and the measurement time may be in seconds. In this case, the electronic device 101 may accumulate the measured heartbeat cycle intervals until the final sum first exceeds a predetermined time. Also, the electronic device 101 may measure and accumulate the number of heartbeats until the number of heartbeats reaches a predetermined threshold value. The biosignal may include at least one of heartbeat, pulse, impedance plethysmography, ballistocardiogram (BCG), electrocardiogram (ECG), photoplethysmography (PPG), and blood flow. The parameter is a heart rate (HR), a heart rate cycle, a standard deviation of N-N intervals (SDNN), and the square root of the mean value of the squared difference between successive heart rate cycle values (Root Mean of Sum of Squared Differences: RMSSD) and a percentage of successive normal NN intervals difference greater than 50 msec: pNN50 in which a difference between consecutive heartbeat cycles in the entire heartbeat cycle exceeds 50 ms. The beat interval may include at least one of a heart rate cycle (RR interval), a pulse interval, and a JJ interval of the biosignal. The heartbeat cycle represents an interval between two peaks of the electrocardiogram, the JJ cycle represents an interval between two peaks of the heart trajectory, and the pulse cycle represents an interval between two peaks of the optical blood flow and the optical blood flow.

Then, the electronic device 101 may convert the analyzed parameter into biometric information. The electronic device 101 may take the natural log (ln) of the reciprocal of the parameter and convert it into biometric information. The electronic device 101 may convert the analyzed parameter into biometric information using Equation 1 below.

In <Equation 1>, P represents a parameter.

The electronic device 101 may convert the analyzed parameter into biometric information through Equation 1 above.

The electronic device 101 may compare the converted stress index with the pre-stored average stress index of the same age group, and may output a comparison result ( 516 and 518 ). The electronic device 101 may compare the converted stress index with the stress index of the same age group as the user who measured the biosignal. The electronic device 101 may receive the user's age and may compare the converted stress index with the inputted user's age and the average stress index of the same age or age group. The average stress index may be pre-stored in the electronic device 101 or may be received from the server 106 . Through this comparison, it can be determined whether the stress index of the user who has measured the biosignal is higher or lower than the average stress index of the same age or the same age group. In addition, the electronic device 101 may generate a guide indicating a breathing method for reducing stress in response to the comparison result. When the converted stress index is higher than the stress index of the same age group, the electronic device 101 may generate a guide for lowering the stress index. When the converted stress index is lower than the stress index of the same age group, the electronic device 101 may generate a guide indicating that the stress index is low and including information beneficial to health. The guide may include at least one of information for lowering the stress index, a warning informing that the stress index is high, and a breathing method for lowering the stress index. In addition, the electronic device 101 may output a comparison result or output the generated guide. The electronic device 101 may output the comparison result and/or the generated guide through at least one of voice, vibration, and a graphical user interface (GUI). In addition, the electronic device 101 may detect respiration or may determine that respiration has been detected by receiving information on whether respiration and a respiration amount detected through at least one sensor provided in the sensor module 1740, Respiratory volume can be analyzed. The electronic device 101 may generate a guide indicating a breathing method for reducing stress in response to the comparison result, and may output the generated guide. When respiration is sensed from the user in a state in which the guide is output, the electronic device 101 may compare the sensed respiration with the guide in real time and output it.

6A is an exemplary diagram comparing a user's stress index with an average stress index of the same age group according to an embodiment of the present invention, and FIG. 6B is a user's stress index showing an average stress index of the same age group according to an embodiment of the present invention It is an exemplary diagram showing the comparison result when the index is higher than the index.

Referring to FIG. 6A, FIG. 6A is an exemplary diagram comparing the stress index of a user with the average stress index of the same age group according to an embodiment of the present invention, and shows the average and standard deviation of parameters for a plurality of people by age group. If calculated and converted into a stress index using the average and standard deviation of the user's measured parameters, the user's stress index is divided into multiple sections according to the degree of higher or lower than the average stress index of the same age group to determine how high the user's stress index is. Or how low it is. The first section is when the user's stress index is much lower than the average stress index of the same age group, the second section is when the user's stress index is slightly lower than the average stress index of the same age group, and the user's stress index is When the average stress index of the same age group is slightly higher than the third section, when the user's stress index is slightly higher than the average stress index of the same age group of the third section, it is the fourth section, and the user's stress index is the The 5th section is the case where it is much higher than the average stress index of the same age group in the 3rd section. Through this comparison, the user may know how high or how low his/her stress index is compared to other people of the same age as the user, and the comparison result may be output through the display 150 .

Referring to FIG. 6B , FIG. 6B is an exemplary view illustrating a comparison result when the user's stress index is higher than the average stress index of the same age group according to an embodiment of the present invention, wherein the user's stress index is the average stress level of the same age group. When the index is higher than the index, the electronic device 101 may output the comparison result through the display 150 . The display 150 displays information for lowering the stress index when the user's stress index is higher than the stress index of the same age group according to the comparison result, and when the user's stress index is lower than the stress index of the same age group , a first area 610 indicating that the stress index is low and displaying information beneficial to health, and a second area 620 indicating how high or low the stress index of the user is compared to the average stress index of the same age group. can be divided.

For example, when the user's stress index is higher than the stress index of the same age group, the first area 610 may display a caution message to pay attention to health because the stress index is higher than that of the same age group, and Various information can be displayed, such as food to lower, exercise method, weight control and breathing method. Also, since the stress index is higher than that of the same age group, the first area 610 may display an animation to pay attention to health. In addition, the second area 620 may display a graph 623 corresponding to the user's own stress index and a graph 621 corresponding to the average stress index of the same age group. In addition, in the second area 620, the user's stress index may display different expressions of the emoticons 622 and 624 according to the difference in the stress index of the same age group. It is possible to recognize the seriousness of the need to decrease.

7 is a flowchart illustrating a process of measuring a biosignal and storing a stress index in response to the measured biosignal according to an embodiment of the present invention.

Hereinafter, a process of measuring a bio-signal and storing a stress index in response to the measured bio-signal according to an embodiment of the present invention will be described in detail with reference to FIG. 7 .

The electronic device 101 may measure a biosignal ( 710 ). The electronic device 101 may measure the biosignal at least once. The electronic device 101 may measure the biosignal at least once for a predetermined time. The electronic device 101 may measure the biosignal at least once for a predetermined time (eg, 30 seconds). The predetermined time may be in seconds or minutes. In addition, the measurement may be measured in ms (or seconds). The predetermined time and the time of the measurement unit (eg, ms) may be variably adjusted. The electronic device 101 may measure the biosignal in real time.

The electronic device 101 may analyze the parameter variation in the time domain using the measured biosignal ( 712 ) and convert the analyzed parameter into biometric information ( 714 ). The electronic device 101 may analyze the parameter variation in the time domain in real time using the biosignal measured in real time, and may convert the analyzed parameter into biometric information in real time. The electronic device 101 may measure the biosignal at least once, and may analyze a parameter of the measured biosignal. The electronic device 101 may analyze the parameter in the time domain of the measured biosignal, and may analyze the displacement of the parameter using the beating interval of the biosignal. The parameter in the time domain of the heartbeat edge may be the square root of an average value of the squared difference between successive heartbeat cycle values, and the measurement time may be in seconds. In this case, the electronic device 101 may accumulate the measured heartbeat cycle intervals until the final sum first exceeds a predetermined time. Also, the electronic device 101 may measure and accumulate the number of heartbeats until the number of heartbeats reaches a predetermined threshold value. In addition, the electronic device 101 may convert the analyzed parameter into biometric information (eg, a stress index). The electronic device 101 may take the natural logarithm (ln) of the reciprocal of the parameter and convert it into biometric information (eg, a stress index).

The electronic device 101 may store the analyzed parameter variation and the converted stress index (S716). The electronic device 101 may store the parameter displacement analyzed in real time and the stress index converted in real time in the storage unit 130 . The electronic device 101 may store at least one stress index converted in response to the measurement of the at least one bio-signal in the storage unit 130 every time the bio-signal is measured. Also, the electronic device 101 may calculate and store an average of at least one stress index converted in response to the measurement of the at least one biosignal. Also, the electronic device 101 may calculate an average of the converted stress index or the pre-stored stress index in at least one unit of time period, day, day, month, and year, and store it in the storage unit 130 . In addition, a series of processes of measuring the biosignal, analyzing the parameter displacement, converting to a stress index, and storing the converted stress index may be performed for a time less than a measurement unit time for measuring the biosignal. In addition, the result values obtained by a series of processes of measuring the biosignal, analyzing the parameter displacement, converting to a stress index, and storing the converted stress index are stored in a temporary memory (not shown) and after the measurement of the biosignal is completed Here, each result value may be stored, or an average of each result value may be calculated and stored.

When the biosignal is detected, the electronic device 101 may return to the process 710 to measure the biosignal. The above-described processes 710 to 718 may be repeatedly performed for a predetermined time or may be performed when a biosignal is detected.

8 is a flowchart illustrating a process of combining bio-signals and converting them into bio-information according to an embodiment of the present invention.

Hereinafter, with reference to FIG. 8, a process of combining biosignals and converting them into biometric information according to an embodiment of the present invention will be described in detail as follows.

If no movement occurs ( 810 ), the electronic device 101 may measure the biosignal and temporarily store the measured biosignal ( 820 ). The electronic device 101 may measure the biosignal at least once while no movement occurs. The measurement may be measured in ms. The predetermined time and the time of the measurement unit (eg, ms) may be variably adjusted. The electronic device 101 may measure the biosignal in real time while no movement occurs. In addition, the electronic device 101 may temporarily store the measured bio-signal. If a motion occurs in step 810, the electronic device 101 may determine whether the generated motion exceeds a predetermined time. Also, the electronic device 101 may determine whether the movement continues for a predetermined time. For example, if the generated motion does not exceed a predetermined time, the process returns to step 810 and the electronic device 101 detects whether a motion has occurred, and if not detected, repeatedly performs an operation of measuring a biosignal can do.

When the total sum of the time during which the biosignals are measured is equal to or greater than a predetermined value (S830), the electronic device 101 may analyze the parameter variation in the time domain using at least one temporarily stored biosignal (S840). The electronic device 101 may measure the biosignal while no motion is detected and store the measured biosignal. If a movement occurs during the biosignal measurement, the electronic device 101 may temporarily stop the biosignal measuring operation. Also, when no motion is detected while the measurement operation is paused, the electronic device 101 may perform the operation of measuring the biosignal again. As such, when the total of the time for measuring the bio-signals is equal to or longer than a predetermined time (eg, 30), the electronic device 101 may add up the stored bio-signals, and use the summed bio-signals as parameters in the time domain. mutations can be analyzed. The electronic device 101 may analyze the parameter in the time domain of the measured biosignal, and may analyze the displacement of the parameter using the beating interval of the biosignal. The parameter in the time domain of the heartbeat edge may be the square root of an average value of the squared difference between successive heartbeat cycle values, and the measurement time may be in seconds. In this case, the electronic device 101 may accumulate the measured heartbeat cycle intervals until the final sum first exceeds a predetermined time. Also, the electronic device 101 may measure and accumulate the number of heartbeats until the number of heartbeats reaches a predetermined threshold value.

The electronic device 101 may convert the analyzed parameter into biometric information, and store the analyzed parameter variation and the converted stress index ( S850 ). The electronic device 101 may convert the analyzed parameter into biometric information. The electronic device 101 may take the natural logarithm (ln) of the reciprocal of the parameter and convert it into biometric information (eg, a stress index). The electronic device 101 may store the analyzed parameter variation and the converted stress index (S716). The electronic device 101 may store the parameter displacement analyzed in real time and the stress index converted in real time in the storage unit 130 . The electronic device 101 may store at least one stress index converted in response to the measurement of the at least one bio-signal in the storage unit 130 every time the bio-signal is measured. In addition, the electronic device 101 performs biometric information (eg, biometric information (eg:) stress index). The stress index may be stored in the storage unit 130 by calculating an average in at least one unit of each time period, day, day of week, month, and year.

9A is an exemplary diagram illustrating a section for measuring a biosignal according to an embodiment of the present invention, FIG. 9B is an exemplary diagram illustrating a motion intensity according to an embodiment of the present invention, and FIG. 9C is an exemplary embodiment of the present invention It is an exemplary diagram showing the change pattern of stress by measuring the stress during the day.

Referring to FIG. 9A , the electronic device 101 may measure a bio-signal while no movement occurs, and temporarily stop measuring the bio-signal when a movement occurs. The first section 911 , the third section 913 , the fifth section 915 , and the seventh section 917 represent sections in which biosignals are measured, and the second section 912 and the fourth section 914 . , the sixth section 916 is a section in which no biosignal is measured. The electronic device 101 may measure the biosignal while no movement occurs. The first period 911 is a measurement of a biosignal during a first time t ₁ , the third period 913 is a measurement of a biosignal during a first time t ₃ , and the fifth period Reference numeral 915 denotes a biological signal measured during the first time t ₅ , and the seventh period 917 is a measurement of the biological signal during the first time t ₇ . Similarly, in the second period 912, no bio-signals were measured during the first time t ₂ , and in the fourth period 914, no bio-signals were measured during the first time t ₄ , In the sixth section 916 , no biosignals are measured during the first time t ₆ .

When the sum of the times of the sections (eg, first, third, fifth, and seventh sections) in which the biosignal is measured is equal to or greater than a predetermined time (eg, 30 seconds), the electronic device 101 performs the first section The biosignals measured in 911, the third section 913, the fifth section 915, and the seventh section 917 may be combined, and the parameter displacement in the time domain may be analyzed using the combined biosignal. . If the sum of the time periods in which biosignals are measured is less than the predetermined time (eg, 30 seconds), the movement of the electronic device 101 continues to occur for a predetermined time (eg, 1 minute) or more In this case, the electronic device 101 may not use the bio-signals measured before the movement occurs to combine the bio-signals.

Referring to FIG. 9B , the horizontal (X) axis is the time axis, and the vertical (Y) axis is the motion intensity axis. Fig. 9b (a) shows the intensity of movement over time, Fig. 9b (b) shows a section in which the sensor module is activated according to a conventionally predetermined time period, and Fig. 9b (c) shows an embodiment This indicates a section in which the sensor module is activated when the motion intensity is smaller than a predetermined threshold value (eg, less than 1). Comparing FIG. 9b (b) and FIG. 9b (c), the movement intensity is smaller than a predetermined threshold (eg, less than 1) than in the conventional case of activating 920 the sensor module according to a predetermined time period. In this case, since the present invention of activating ( 930 ) the sensor module is necessary, the sensor module is activated, so that battery consumption can be reduced.

Referring to FIG. 9C , the electronic device 101 may measure a bio-signal while no movement is occurring, and may temporarily stop measuring the bio-signal when a movement occurs. Also, if no movement occurs after the temporary stop, the electronic device 101 may measure the biosignal again. When no movement occurs or the movement is less than a predetermined threshold value, the electronic device 101 may measure the biosignal to determine the stress, and the stress may be displayed as a graph 960 according to the measured time. have. Also, the electronic device 101 may display a section 970 in which the measurement of the biosignal is not performed together with the graph 960 .

10 is a flowchart illustrating a process of comparing a current stress index with an own average stress index according to an embodiment of the present invention.

Hereinafter, with reference to FIG. 10, a process of comparing the current stress index and the own average stress index according to an embodiment of the present invention will be described in detail as follows.

When the bio-signal is measured ( 1010 ), the electronic device 101 analyzes the parameter variation in the time domain using the measured bio-signal ( 1012 ), and converts the analyzed parameter into bio-information (eg, stress index). There is (1014). The electronic device 101 may measure the biosignal at least once. The electronic device 101 may analyze the parameter variation in the time domain in real time using the biosignal measured in real time, and may convert the analyzed parameter into biometric information in real time. The electronic device 101 may measure the biosignal at least once, and may analyze a parameter of the measured biosignal. The electronic device 101 may analyze the parameter in the time domain of the measured biosignal, and may analyze the displacement of the parameter using the beating interval of the biosignal. The parameter in the time domain of the heartbeat edge may be the square root of an average value of the squared difference between successive heartbeat cycle values, and the measurement time may be in seconds. Then, the electronic device 101 may convert the analyzed parameter into biometric information. The electronic device 101 may take the natural logarithm (ln) of the reciprocal of the parameter and convert it into biometric information (eg, a stress index).

The electronic device 101 may compare the converted stress index with the pre-stored average stress index ( 1016 ). The electronic device 101 may compare the stress index with the user's average stress index pre-stored in the storage unit 130 . The electronic device 101 may compare the user's current stress index and the user's average stress index pre-stored in the storage unit 130 in response to the measurement of the biosignal. The storage unit 130 may store, in real time, a stress index converted in response to a bio-signal measured by a user under the control of the electronic device 101 . The storage unit 130, under the control of the electronic device 101, calculates the average of the stress index converted in response to the biosignal measured by the user in at least one unit of time period, day, day, month, and year. can be saved The storage unit 130 may calculate and store an average of a plurality of pre-stored stress indices in at least one unit of time period, day, day of week, month, and year under the control of the electronic device 101 . In addition, the storage unit 130 may store the average stress index for each age group (eg, teens, 20s, 30s...), periodically or aperiodically from the server 106 that provides this average stress index. can be received and stored.

The electronic device 101 may output a comparison result ( 1018 ). In addition, the electronic device 101 may generate a guide indicating a breathing method for reducing stress in response to the comparison result. When the converted stress index is higher than the previously stored stress index, the electronic device 101 may generate a guide for lowering the stress index. When the converted stress index is lower than the previously stored stress index, the electronic device 101 may generate a guide indicating that the stress index is low and including information beneficial to health. The guide may include at least one of information for lowering the stress index, a warning informing that the stress index is high, and a breathing method for lowering the stress index. In addition, the electronic device 101 may output a comparison result or output the generated guide. The electronic device 101 may output the comparison result and/or the generated guide through at least one of voice, vibration, and a graphical user interface (GUI). In addition, the electronic device 101 may detect respiration or may determine that respiration has been detected by receiving information on whether respiration and a respiration amount detected through at least one sensor provided in the sensor module 1740, Respiratory volume can be analyzed. The electronic device 101 may generate a guide indicating a breathing method for reducing stress in response to the comparison result, and may output the generated guide. When respiration is sensed from the user in a state in which the guide is output, the electronic device 101 may compare the sensed respiration with the guide in real time and output it.

11A is an exemplary diagram comparing a user's current stress index with a pre-stored average stress index according to an embodiment of the present invention, and FIG. 11B is an exemplary diagram illustrating the user's average stress index for each time period according to an embodiment of the present invention. , FIG. 11C is an exemplary diagram comparing the current stress index and the average stress index by day according to an embodiment of the present invention, and FIG. 11D is an example comparing the current stress index and the average stress index by month according to an embodiment of the present invention FIG. 11E is an exemplary diagram comparing the current stress index and the average stress index for each day of the week according to an embodiment of the present invention, and FIG. 11F is the current stress index and the average stress index according to an embodiment of the present invention on weekdays and weekends , and FIG. 11g is an exemplary diagram comparing the current stress index and the average stress index in working hours and non-working hours according to an embodiment of the present invention.

Referring to FIG. 11A , FIG. 11A is a diagram illustrating a comparison between a user's current stress index and a pre-stored average stress index according to an embodiment of the present invention. When the user's stress index is higher than the pre-stored average stress index, the electronic device Reference numeral 101 may output the comparison result through the display 150 . When the user's stress index is lower than the pre-stored average stress index, the electronic device 101 may output the comparison result through the display 150 . According to the comparison result, the display 150 displays information for lowering the stress index when the user's stress index is higher than the pre-stored average stress index, and when the user's stress index is lower than the pre-stored average stress index, stress It may be divided into a first area 1110 indicating a low index and displaying information beneficial to health, and an area 1120 indicating how high or low the user's stress index is compared to a pre-stored average stress index.

For example, when the user's stress index is higher than the pre-stored average stress index, the first area 1110 sends a warning message to pay attention to health because the stress index is higher than the average stress index measured and averaged in the past. It can be displayed, and various information such as food, exercise method, weight control and breathing method to lower the stress index can be displayed. Also, since the stress index is higher than that of the same age group, the first area 1110 may display an animation telling you to pay attention to your health. In addition, the second area 1120 may display a graph 1123 corresponding to the user's current stress index and a graph 1121 corresponding to a pre-stored average stress index. Also, in the second area 1120, the user's stress index can be displayed with different expressions of the emoticons 1122 and 1124 according to the difference between the pre-stored average stress index, and through the expression of the emoticon, the user can relieve stress. It is possible to recognize the seriousness of the need to decrease.

Referring to FIG. 11B , FIG. 8B is an exemplary diagram illustrating a user's average stress index for each time period according to an embodiment of the present invention. The electronic device 101 calculates an average for each time period 1131 on the display 1130 . One stress index can be displayed. For example, if today is August 2, 2014, the electronic device 101 calculates the average of the stress index for each time period of August 2, and displays the calculated average on the display 1130 in units of time. can For example, the electronic device 101 may display the average of a plurality of stress indices measured by the user during the 2 pm time zone (14:00 to 15:00) as points 1134, and the high and low values of these points Accordingly, the user can know that the stress index was high at a certain time. And, when the current time is 15:12 minutes, the point 1133 indicating the current stress index may also change in real time according to the real-time change of the stress index. And, when time passes and it reaches 16:00, the average of the stress index measured from 15:00 to 1 hour may be calculated and displayed on the display 1130 like the point 1134 . And, a point 1132 indicates to what extent the current stress index is among the maximum and minimum values of the same time.

Referring to FIG. 11C , FIG. 11C is an exemplary view comparing the current stress index and the average stress index by day according to an embodiment of the present invention, and the electronic device 101 displays the average on the display 1140 by 1141 per day. The calculated stress index can be displayed. For example, when the month is August 2014, the electronic device 101 may calculate an average of the stress index for each day of August, and display the calculated average on the display 1140 for each day. For example, the electronic device 101 may display the maximum and minimum values of the stress index measured for each day as points, and depending on the high and low of these points, the user can know that the stress index was high and low for several days. have. For example, in displaying the stress index of August 1, by displaying a point 1143 indicating the maximum stress index and a point 1144 indicating the minimum stress index, the user can know the amount of change in stress on August 1 and can be compared with the stress index of another day. In addition, when the current date is August 2, points indicating the current stress index may also be changed in real time according to the real-time change in the stress index. In addition, the average stress index as of August 2 may be displayed as a point 1145 . And, if today is August 2, the electronic device 101 displays the maximum stress index and the minimum stress index measured during this day (August 2) as points, and calculates the average of the stress index measured during the current day. Point 1146 may be displayed on display 1130 . In addition, a point 1142 indicates what the average stress index of the current day is. Also, the point 1146 may be changed in real time according to the real-time change of the stress index.

Referring to FIG. 11D , FIG. 11D is an exemplary diagram comparing the current stress index and the average stress index by month according to an embodiment of the present invention, and the electronic device 101 displays the average on the display 1150 by month 1151 The calculated stress index can be displayed. For example, when the year is 2014, the electronic device 101 may calculate an average of the monthly stress index for 2014, and display the calculated average on the display 1150 for each month. For example, the electronic device 101 may display the maximum and minimum values of the stress index measured for each month as points, and depending on the high and low of these points, the user can know that several months have a high and low stress index. have. For example, in displaying the stress index for August, by displaying the point 1153 indicating the maximum stress index and the point 1154 indicating the minimum stress index, the user can know the amount of stress change in August, and other It can be compared with the stress index of the month. In addition, when the current month is August, points indicating the current stress index may also be changed in real time according to the real-time change of the stress index. In addition, the average stress index in August may be displayed as a point 1155 . And, when this month is August, the electronic device 101 displays the maximum stress index and the minimum stress index measured during the current month (August) as points 1153 and 1154, and calculates an average of the stress indexes measured during the current month. Thus, the point 855 may be displayed on the display 1150 . In addition, a point 1152 indicates what the average stress index of the current month is. Also, the point 1155 may be changed in real time according to the real-time change of the stress index.

Referring to FIG. 11E , FIG. 11E is a diagram illustrating a comparison between a current stress index and an average stress index for each day of the week according to an embodiment of the present invention. The electronic device 101 calculates the average for each day on the display 1160 . The stress index can be displayed. The electronic device 101 may calculate an average of the stress index for each day of the week, and display the calculated average on the display 1160 for each day of the week. The electronic device 101 may calculate an average of the stress index for each day and time according to the day of the week, and display the calculated average on the display 1160 for each day and time according to the day of the week.

The electronic device 101 may display the maximum and minimum values of the stress index measured for each day of the week as points, and according to the high and low levels of these points, the user can know that a certain day of the week has a high and low stress index. For example, in displaying Friday's stress index, by displaying a point 1161 indicating the maximum stress index and a point 1162 indicating the minimum stress index at 4 pm on Friday, the user can know the amount of stress change on Friday. and can be compared with the stress index of other days of the week. In addition, the average stress index at 4 pm on Friday may be displayed as a point 1163 .

Referring to FIG. 11F , FIG. 11F is a diagram illustrating a comparison between a current stress index and an average stress index on weekdays and weekends according to an embodiment of the present invention, and the electronic device 101 displays weekdays and weekends on the display 1170 . The averaged stress index can be displayed. Typically, weekdays mean Monday to Friday, and weekends mean Saturday and Sunday. The electronic device 101 may calculate an average of the stress index for weekdays and weekends, and display the calculated average on the display 1170 for weekdays and weekends. The electronic device 101 may calculate an average of the stress index for each weekday and weekend and each time according to the weekday and weekend, and may display the calculated average on the display 1170 for each weekday and weekend and time.

The electronic device 101 may display the maximum and minimum values of the stress index measured on weekdays and weekends as points, and depending on the high and low of these points, the user can know that the stress index was high and low at any time during the week or weekend. can For example, in displaying the stress index at 4 pm on the weekday, by displaying the point 1171 indicating the maximum stress index and the point 1172 indicating the minimum stress index, the user can know the amount of stress change on Friday and , can be compared with the stress index of other days of the week. In addition, the average stress index at 4 pm on a weekday may be displayed as a point 1173 .

Referring to FIG. 11G , FIG. 11G is an exemplary diagram comparing the current stress index and the average stress index for working hours and non-working hours according to an embodiment of the present invention, wherein the electronic device 101 is displayed on the display 1180 You can display the stress index averaged by hours and non-working hours. In general, working hours are from 9 am to 6 pm, and non-working hours are hours excluding the above working hours. The electronic device 101 may calculate an average of the stress index for working hours and non-working hours, and may display the calculated average on the display 1180 as working hours and non-working hours. The electronic device 101 calculates the average of the stress index for each working and non-working time and each time according to the working and non-working time, and displays the calculated average on the display 1180 for each working and non-working time and time. can be displayed in The working hours and non-working hours may be variably adjusted.

The electronic device 101 may display the maximum and minimum values of the stress index measured in working hours and non-working hours as points, and depending on the high and low of these points, the user can determine the stress index at any time during working hours and non-working hours. It can be seen that is high and low. For example, in displaying the stress index of working hours, by displaying a point 1181 indicating the maximum stress index and a point 1182 indicating the minimum stress index at 4 pm of the working hour, the user can determine the amount of stress change on Friday. can be known, and can be compared with the stress index of other days of the week. In addition, the average stress index at 4 pm of the working time may be displayed as a point 1183 .

12 is a flowchart illustrating a process of outputting a personalized breathing guide to reduce stress when stress is high, performing actual breathing, and outputting a comparison result with the guide according to an embodiment of the present invention.

Hereinafter, according to an embodiment of the present invention, with reference to FIG. 12 , a process of outputting a personalized breathing guide to reduce stress when stress is high, and outputting a comparison result with the guide through actual breathing will be described in detail as follows. .

When the measured stress index of the user is higher than the stress index of the same age group ( 1210 ), the electronic device 101 may generate a breathing guide for lowering the stress index ( 1212 ). The electronic device 101 may measure the bio-signal at least once, analyze a parameter variation in the time domain using the measured bio-signal, and convert the analyzed parameter into bio-information. The electronic device 101 may compare the converted stress index with the pre-stored average stress index of the same age group. The electronic device 101 may receive the user's age and compare the converted stress index with the inputted user's age and the average stress index of the same age or age group. The process of measuring such a bio-signal, converting the measured bio-signal into bio-information, and comparing the converted bio-information with average bio-information of the same age group is the same as described above. In addition, the electronic device 101 may generate a guide indicating a breathing method for reducing stress in response to the comparison result. When the converted stress index is higher than the stress index of the same age group, the electronic device 101 may generate a guide for lowering the stress index. When the converted stress index is lower than the stress index of the same age group, the electronic device 101 may generate a guide indicating that the stress index is low and including information beneficial to health. The guide may include at least one of information for lowering the stress index, a warning informing that the stress index is high, and a breathing method for lowering the stress index. Then, the electronic device 101 may output the generated guide.

When respiration is detected ( 1214 ), the electronic device 101 may compare the sensed respiration with the generated respiration guide in real time ( 1216 ) and output the comparison result ( 1216 ). The electronic device 101 may detect respiration, or may determine that respiration has been detected by receiving information on whether respiration and respiration amount detected through at least one sensor provided in the sensor module 1240 , and measure the respiration amount. can be analyzed. The electronic device 101 may generate a guide indicating a breathing method for reducing stress in response to the comparison result, and may output the generated guide. When respiration is sensed from the user in a state in which the guide is output, the electronic device 101 may compare the sensed respiration with the guide in real time and output it. In addition, the electronic device 101 may output a stress index that is changed in response to the generated guide and real-time respiration. The electronic device 101 may output the comparison result and/or the generated guide through at least one of voice, vibration, and a graphical user interface (GUI).

13 is an exemplary diagram illustrating in real time breathing for reducing the stress index in a state in which a guide is output according to an embodiment of the present invention.

Referring to FIG. 13 , when the user's stress index is higher than the average stress index of the same age group, the electronic device 101 displays various information for lowering the stress index and the stress index changed by respiration through the display 1350 in real time. can be printed out. The electronic device 101 displays a first area 1330 displaying useful information for lowering the stress index on the display 1350 and a second outputting amount of respiration of the user breathing to reach the average stress index of the same age group in real time. It can be divided into two regions 1340 . When the stress index of the user is higher than the stress index of the same age group, the display 1350 may display information for lowering the stress index under the control of the electronic device 101 . For example, when the user's stress index is higher than the stress index of the same age group, the display 1350 may output information to take a deeper breath in order to lower the stress index in the first area 1330, In the second area 1340 , a stress index that is changed according to the degree of inhalation and exhalation may be output in real time according to respiration. The first area 1330 may display a caution message to pay attention to health and may display an animation. And, the second area 1340 is a respiration guide curve 1310 for reaching the stress index of the same age group, and a real-time respiration that expresses in real time the amount of respiration that the user currently breathes 1321 to reach this respiration guide curve. A curve 1320 may be displayed. The second area 1340 may display a guide so that the character can breathe as much as they breathe, or express a state in which a balloon inflates/contracts or a state in which a dolphin is submerged in water and then floats as inhalation/exhalation. In addition, the electronic device 101 of the present invention can output a human voice containing a message for guiding inhalation and exhalation, or through a tactile sensor provided in the sensor module 1740, the pressure according to the user's inhalation and exhalation. can be applied to the skin of A previous curve of the current respiration 1321 in the real-time respiration curve 1320 may be displayed as a solid line. For example, the second region 1340 may be divided into a first section 1341 , a second section 1342 , and a third section 1343 according to a respiration time. The first section 1341 shows a case in which the amount of inhalation is smaller than the amount of inhalation presented by the breathing guide, and the second section 1342 shows a case in which the amount of exhalation is smaller than the amount of exhalation presented by the breathing guide. , and the third section 1343 represents a case in which the amount of inhalation is smaller than the amount of inhalation suggested by the breathing guide. In addition, in the second region 1340 , the difference 1322 between the amount of inhalation suggested by the breathing guide in the first section 1341 and the amount of the current breathing 1321 may be expressed as a numerical value. Information displayed in the first region may be changed according to a difference 1322 between the amount of inhalation suggested by the breathing guide and the amount of current breathing in the breathing guide. For example, when there is a difference between the amount of inhalation suggested by the breathing guide and the amount of current inhalation, the first region may display 'take a deeper breath'. And, when the amount of exhalation suggested by the breathing guide is different from the amount of current exhalation, the first region may display 'exhale more deeply'.

14 is a flowchart illustrating a method of measuring a biosignal according to another embodiment of the present invention.

Hereinafter, a method of measuring a biosignal according to another embodiment of the present invention will be described in detail with reference to FIG. 14 .

When an input for measuring a biosignal is generated ( 1410 ), the electronic device 101 may analyze the parameter variation in the time domain in real time using the measured biosignal. In response to the generation of an input for measuring the biosignal, the electronic device 101 may start to measure the biosignal, and may analyze the parameter variation in the time domain through the measured biosignal in real time. The electronic device 101 may analyze the parameter variation in the time domain in real time using the biosignal measured in real time, and may convert the analyzed parameter into biometric information in real time. The electronic device 101 may analyze the displacement of the parameter using the beat interval of the measured biosignal. For example, when a user inputs an input for measuring a biosignal through the electronic device 101 in order to know a change in his or her stress index for a certain period of time, such as watching a movie, watching a drama, or visiting a concert, the electronic device ( 101) may start measuring a biosignal in response to the input.

The electronic device 101 may convert the analyzed parameter into biometric information and store it ( 1430 ), and display the converted stress index in real time ( 1440 ). The electronic device 101 may take the natural logarithm (ln) of the reciprocal of the parameter and convert it into biometric information (eg, a stress index). The electronic device 101 may display the stress index converted in response to the measurement of the biosignal on the display 150 in real time. Also, the electronic device 101 may analyze the parameter variation in the time domain using the measured biosignal, convert the analyzed parameter into biometric information, and store it. Also, the electronic device 101 may display the stored stress index on the display 150 .

When an input for stopping measurement of the biosignal is generated, the electronic device 101 may display the stored stress index on the display 150 ( 1460 ). When an input for stopping measurement of the biosignal is sensed, the electronic device 101 may stop measuring the biosignal and display the stress index stored in step 1430 on the display 150 . For example, when the user stops measuring the bio-signal to know the change in the stress index through the measured bio-signal for a certain period of time, such as watching a movie, watching a drama, or visiting a concert, the electronic device 101 receives the input In response, the stress index stored in the process 1430 may be displayed on the display 150 in the form of a graph. The user may know the change trend of stress during a time when an input for measuring a biosignal is generated and an input for stopping measurement of the biosignal is generated. Through this, the user can know in which section the stress index increased or decreased during the predetermined time.

15A is an exemplary diagram showing a stress index in real time in response to measurement of a biosignal according to an embodiment of the present invention, and FIG. 15B is a stress corresponding to a biosignal measured for a predetermined time according to an embodiment of the present invention. It is an example diagram showing the index.

Referring to FIG. 15A , the electronic device 101 may display the stress index on the display 150 in real time in response to the measurement of the biosignal. The electronic device 101 may display information indicating that the current stress is being measured in the first area 1510 , and display the change trend 1521 of the stress index in the second area 1520 . Through this, the user can grasp the current trend 1521 of his/her stress index. For example, when a user inputs an input for measuring a biosignal through the electronic device 101 in order to know a change in his or her stress index for a certain period of time, such as watching a movie, watching a drama, or visiting a concert, the electronic device ( 101) may start measuring the biosignal in response to the input, and display the stress index corresponding to the measured biosignal on the display 150 in real time.

Referring to FIG. 15B , the electronic device 101 may display the stored stress index in response to the measurement of the biosignal on the display 150 . The electronic device 101 may store the stress index converted through the biosignal measured in response to the measurement of the biosignal. In the measurement of such biosignals, the storage of the stress index may be repeatedly performed for a predetermined time. The electronic device 101 may display information informing of a stress measurement result in the first area 1530 in response to detection of an input stopping measurement of a biosignal, and display the stored stress index in the second area 1540 . have. Through this, the user can grasp the trend 1541 of his/her stress index for the predetermined time. For example, a user inputs an input for measuring a biosignal through the electronic device 101 in order to know a change in his or her stress index for a certain period of time, such as watching a movie, watching a drama, or visiting a concert, and after a certain amount of time If an input for stopping measurement of the biosignal is input after the elapse of time, the electronic device 101 may display a stress index corresponding to the biosignal measured for the predetermined time period (eg, 2 hours) on the display 150 . .

16A is a graph showing an electrocardiogram (ECG) in a biosignal according to an embodiment of the present invention, and FIG. 16B is a graph showing a ballistocardiogram (BCG) in a biosignal according to an embodiment of the present invention. , FIG. 16C is a graph showing photoplethysmography (PPG) in a biosignal according to an embodiment of the present invention, and FIG. 16D is a graph showing impedance plethysmography in a biosignal according to an embodiment of the present invention , and FIG. 16e is a graph showing the RR interval in an electrocardiogram (ECG) according to an embodiment of the present invention, and FIG. 16f is a ballistocardiogram (BCG) according to an embodiment of the present invention. It is a graph showing the JJ interval.

The biosignal according to an embodiment of the present invention includes at least one of heartbeat, pulse, impedance plethysmography, ballistocardiogram (BCG), electrocardiogram (ECG), photoplethysmography (PPG), and blood flow. may include The present invention may include various biosignals used to measure a user's stress index in addition to the biosignals described above. In addition, the parameters analyzed through these biosignals are heart rate (HR), heart rate cycle, standard deviation of N-N intervals (SDNN), and mean value of squared difference between consecutive heart rate cycle values. contains at least one of the Root Mean of Sum of Squared Differences (RMSSD) and the percentage of successive normal NN intervals difference greater than 50 msec: pNN50 in the total heart rate cycle. can do. The beat interval may include at least one of a heart rate cycle (RR interval), a pulse interval, and a JJ interval of the biosignal. The heartbeat period may indicate an interval between two peaks of the electrocardiogram, the JJ period may indicate an interval between two peaks of the heart trajectory, and the pulse period may indicate an interval between two peaks of the impedance blood volume and the optical blood flow.

17A is a diagram showing the correlation between the results of analysis with standard 5-minute data and data of different lengths for each parameter in the time domain according to an embodiment of the present invention for each age group, and FIG. 17B and FIG. 17C is a diagram showing the correlation between the results of analysis with standard 5-minute data and the results of analysis with data of different lengths for each parameter in the frequency domain by age group according to an embodiment of the present invention.

17A, 17B, and 17C are [Table 1] showing the correlation between the HRV variables calculated through the conventional standard 5 minutes and the measurement time according to the embodiment of the present invention, parameters in the time domain and parameters in the frequency domain It is a diagram showing the measurement results for each age group and various time zones. As shown in FIGS. 17A, 17B and 17C , the correlation indicates the presence or absence of linearity, and decreases with a decrease in the measurement time of the heartbeat cycle for all age groups and HRV parameters.

18 is a block diagram of an electronic device according to various embodiments of the present disclosure;

The electronic device may constitute, for example, all or a part of the electronic device 101 illustrated in FIG. 1 . Referring to FIG. 18 , the electronic device 1801 includes one or more application processors (AP) 1810 , a communication unit 1820 , a subscriber identification module (SIM) card 1824 , a memory 1830 , and a sensor unit. 1840, input device 1850, display 1860, interface 1870, audio unit 1880, camera unit 1891, power management unit 1895, battery 1896, indicator 1897 and motor ( 1898) may be included.

The AP 1810 may control a plurality of hardware or software components connected to the AP 1810 by driving an operating system or an application program, and may perform various data processing and operations including multimedia data. The AP 1810 may be implemented as, for example, a system on chip (SoC). According to an embodiment, the AP 1810 may further include a graphic processing unit (GPU).

The communication unit 1820 (eg, the communication interface 160) is connected to the electronic device 1801 (eg, the electronic device 101) and other electronic devices (eg, the electronic device 104) connected through a network. In communication between the servers 106 ), data transmission and reception may be performed. According to an embodiment, the communication unit 1820 includes a cellular module 1821 , a Wifi module 1823 , a BT module 1825 , a GPS module 1827 , an NFC module 1828 and a radio frequency (RF) module 1829 . ) may be included.

The cellular module 1821 may provide a voice call, a video call, a text service, or an Internet service through a communication network (eg, LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro or GSM, etc.). Also, the cellular module 1821 may perform identification and authentication of an electronic device in a communication network using, for example, a subscriber identification module (eg, the SIM card 1824 ). According to an embodiment, the cellular module 1821 may perform at least some of the functions that the AP 1810 may provide. For example, the cellular module 1821 may perform at least a part of a multimedia control function.

According to an embodiment, the cellular module 1821 may include a communication processor (CP). Also, the cellular module 1821 may be implemented as, for example, an SoC. In FIG. 18 , components such as the cellular module 1821 (eg, a communication processor), the memory 1830 , or the power management unit 1895 are illustrated as separate components from the AP 1810 , but in one embodiment According to an example, the AP 1810 may be implemented to include at least some of the aforementioned components (eg, the cellular module 1821 ).

According to an embodiment, the AP 1810 or the cellular module 1821 (eg, a communication processor) loads a command or data received from at least one of a non-volatile memory or other components connected thereto into a volatile memory ( load) can be processed. Also, the AP 1810 or the cellular module 1821 may store data received from at least one of other components or generated by at least one of the other components in a nonvolatile memory.

Each of the Wifi module 1823, the BT module 1825, the GPS module 1827, or the NFC module 1828 includes, for example, a processor for processing data transmitted and received through the corresponding module. can In FIG. 18, the cellular module 1821, the Wifi module 1823, the BT module 1825, the GPS module 1827, or the NFC module 1828 are each shown as separate blocks, but according to one embodiment, the cellular module ( 1821), at least some (eg, two or more) of the Wifi module 1823, the BT module 1825, the GPS module 1827, or the NFC module 1828 may be included in one integrated chip (IC) or IC package. have. For example, at least some of the processors corresponding to each of the cellular module 1821 , the Wifi module 1823 , the BT module 1825 , the GPS module 1827 or the NFC module 1828 (eg, the cellular module 1821 ) A communication processor corresponding to , and a Wifi processor corresponding to the Wifi module 1823) may be implemented as one SoC.

The RF module 1829 may transmit/receive data, for example, transmit/receive an RF signal. Although not shown, the RF module 1829 may include, for example, a transceiver, a power amp module (PAM), a frequency filter, or a low noise amplifier (LNA). In addition, the RF module 1829 may further include a component for transmitting and receiving electromagnetic waves in free space in wireless communication, for example, a conductor or a conducting wire. In FIG. 18 , the cellular module 1821 , the Wifi module 1823 , the BT module 1825 , the GPS module 1827 and the NFC module 1828 are shown to share one RF module 1829 with each other, but one According to the embodiment, at least one of the cellular module 1821, the Wifi module 1823, the BT module 1825, the GPS module 1827, or the NFC module 1828 performs transmission and reception of an RF signal through a separate RF module. can do.

The SIM card 1824 may be a card including a subscriber identification module, and may be inserted into a slot formed at a specific location of the electronic device. The SIM card 1824 may include unique identification information (eg, integrated circuit card identifier (ICCID)) or subscriber information (eg, international mobile subscriber identity (IMSI)).

The memory 1830 (eg, the memory 130 ) may include an internal memory 1832 or an external memory 1834 . The internal memory 1832 is, for example, a volatile memory (eg, dynamic RAM (DRAM), static RAM (SRAM), synchronous dynamic RAM (SDRAM), etc.) or non-volatile memory (eg, non-volatile memory). For example, one time programmable ROM (OTPROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, NAND flash memory, NOR flash memory, etc.) It may include at least one.

According to one embodiment, the internal memory 1832 may be a solid state drive (SSD). The external memory 1834 may be a flash drive, for example, compact flash (CF), secure digital (SD), micro secure digital (Micro-SD), mini secure digital (Mini-SD), extreme digital (xD), or Memory Stick and the like may be further included. The external memory 1834 may be functionally connected to the electronic device 1801 through various interfaces. According to an embodiment, the electronic device 1801 may further include a storage device (or storage medium) such as a hard drive.

The sensor module 1840 may measure a physical quantity or sense an operating state of the electronic device 1801 to convert the measured or sensed information into an electrical signal. The sensor unit 1840 includes, for example, a gesture sensor 1840A, a gyro sensor 1840B, a barometric pressure sensor 1840C, a magnetic sensor 1840D, an acceleration sensor 1840E, a grip sensor 1840F, and a proximity sensor ( 1840G), color sensor (1840H) (eg RGB (red, green, blue) sensor), biometric sensor (1840I), temperature/humidity sensor (1840J), illuminance sensor (1840K) or UV (ultra violet) sensor (1840M) ) may include at least one of. Additionally or alternatively, the sensor unit 1840 may include, for example, an olfactory sensor (E-nose sensor, not shown), an electromyography sensor (not shown), an electroencephalogram sensor (EEG sensor, not shown), or an ECG sensor. (electrocardiogram sensor, not shown), an IR (infra red) sensor (not shown), an iris sensor (not shown), or a fingerprint sensor (not shown). The sensor unit 1840 is at least capable of detecting or recognizing biosignals such as a fingerprint, a foot print, an iris, a face, a heart rate, an EEG, a joint, and a pulse. It may include one sensor. In addition, the sensor module 1840 may include various sensors capable of detecting the user's respiration in addition to the plurality of sensors described above. The sensor module 1840 may further include a control circuit for controlling at least one or more sensors included therein.

The input device 1850 may include a touch panel 1852 , a (digital) pen sensor 1854 , a key 1856 or an ultrasonic input device 1858 . can The touch panel 1852 may recognize a touch input using, for example, at least one of a capacitive type, a pressure sensitive type, an infrared type, and an ultrasonic type. Also, the touch panel 1852 may further include a control circuit. In the case of capacitive, physical contact or proximity recognition is possible. The touch panel 1852 may further include a tactile layer. In this case, the touch panel 1852 may provide a tactile response to the user.

The (digital) pen sensor 1854 may be implemented, for example, using the same or similar method as receiving a user's touch input or a separate recognition sheet. The key 1856 may include, for example, a physical button, an optical key, or a keypad. The ultrasonic input device 1858 is a device that can check data by detecting sound waves from the electronic device 1801 with a microphone (eg, a microphone 1888) through an input tool that generates an ultrasonic signal, recognition is possible According to an embodiment, the electronic device 1801 may receive a user input from an external device (eg, a computer or a server) connected thereto using the communication unit 1820 .

The display 1860 (eg, the display 150 ) may include a panel 1862 , a hologram device 1864 , or a projector 1866 . The panel 1862 may be, for example, a liquid-crystal display (LCD) or an active-matrix organic light-emitting diode (AM-OLED). The panel 1862 may be implemented, for example, to be flexible, transparent, or wearable. The panel 1862 may be configured as a single module with the touch panel 1852 . The hologram device 1864 may display a stereoscopic image in the air by using light interference. The projector 1866 may display an image by projecting light onto the screen. The screen may be located inside or outside the electronic device 1801, for example. According to an embodiment, the display 1860 may further include a control circuit for controlling the panel 1862 , the hologram device 1864 , or the projector 1866 .

The interface 1870 is, for example, a high-definition multimedia interface (HDMI) 1872 , a universal serial bus (USB) 1874 , an optical interface 1876 , or a D-subminiature (D-sub). ) (1878). The interface 1870 may be included in, for example, the communication interface 160 shown in FIG. 1 . Additionally or alternatively, the interface 1870 may be, for example, a mobile high-definition link (MHL) interface, a secure digital (SD) card/multi-media card (MMC) interface, or an infrared data association (IrDA) standard interface. may include

The audio unit 1880 may interactively convert a sound and an electric signal. At least some components of the audio unit 1880 may be included in, for example, the input/output interface 140 shown in FIG. 1 . The audio unit 1880 may process sound information input or output through, for example, a speaker 1882 , a receiver 1884 , an earphone 1886 , or a microphone 1888 .

The camera 1891 is a device capable of capturing still images and moving images, and according to an embodiment, one or more image sensors (eg, a front sensor or a rear sensor), a lens (not shown), and an image signal processor (ISP). city) or a flash (not shown) (eg, LED or xenon lamp).

The power management unit 1895 may manage power of the electronic device 1801 . Although not shown, the power management unit 1895 may include, for example, a power management integrated circuit (PMIC), a charger integrated circuit (IC), or a battery or fuel gauge.

The PMIC may be mounted in, for example, an integrated circuit or an SoC semiconductor. The charging method can be divided into wired and wireless. The charger IC may charge a battery and may prevent inflow of overvoltage or overcurrent from the charger. According to an embodiment, the charging IC may include a charging IC for at least one of a wired charging method and a wireless charging method. As a wireless charging method, for example, there is a magnetic resonance method, a magnetic induction method, or an electromagnetic wave method, and an additional circuit for wireless charging, for example, a circuit such as a coil loop, a resonance circuit or a rectifier may be added. have.

The battery gauge may measure, for example, the remaining amount of the battery 1896, voltage, current, or temperature during charging. The battery 1896 may store or generate electricity, and may supply power to the electronic device 1801 using the stored or generated electricity. The battery 1896 may include, for example, a rechargeable battery or a solar battery.

The indicator 1897 may display a specific state of the electronic device 1801 or a part thereof (eg, the AP 1810 ), for example, a booting state, a message state, or a charging state. The motor 1898 may convert an electrical signal into mechanical vibration. Although not shown, the electronic device 1801 may include a processing unit (eg, GPU) for supporting mobile TV. The processing device for supporting mobile TV may process media data according to standards such as digital multimedia broadcasting (DMB), digital video broadcasting (DVB), or media flow, for example.

Each of the above-described components of the electronic device according to the present disclosure may be composed of one or more components, and the name of the corresponding component may vary depending on the type of the electronic device. The electronic device according to the present disclosure may be configured to include at least one of the above-described components, and some components may be omitted or may further include additional other components. In addition, since some of the components of the electronic device according to the present disclosure are combined to form a single entity, the functions of the components prior to being combined may be performed identically.

19 illustrates a communication protocol 1900 between a plurality of electronic devices (eg, a first electronic device 1910 and a second electronic device 1930) according to various embodiments of the present disclosure.

Referring to FIG. 19 , for example, the communication protocol 1900 includes a device discovery protocol 1951 , a capability exchange protocol 1953 , a network protocol 1955 , and It may include an application protocol 1957 and the like.

According to an embodiment, the device discovery protocol 1951 enables electronic devices (eg, the first electronic device 1910 or the second electronic device 1930) to detect an external electronic device capable of communicating with itself or to detect a detected external electronic device. It may be a protocol for connecting with an electronic device. For example, the first electronic device 1910 (eg, the electronic device 101 ) uses the device discovery protocol 1951 to enable communication methods (eg, Wifi, The second electronic device 1930 (eg, the electronic device 104) may be detected through BT or USB. The first electronic device 1910 obtains identification information on the sensed second electronic device 1930 using the device discovery protocol 1951 for communication connection with the second electronic device 1930, can be saved The first electronic device 1910 may establish a communication connection with the second electronic device 1930 based on at least the identification information.

According to some embodiments, the device discovery protocol 1951 may be a protocol for mutual authentication between a plurality of electronic devices. For example, the first electronic device 1910 provides communication information (eg, a media access control (MAC) address, a universally unique identifier (UUID), and a subsystem identification (SSID) for connection with the at least one second electronic device 1930 . ) and an Internet protocol (IP) address), authentication may be performed between the first electronic device 1910 and the second electronic device 1930 .

According to an embodiment, the function exchange protocol 1953 may be a protocol for exchanging information related to a function of a service supportable by at least one of the first electronic device 1910 and the second electronic device 1930 . For example, the first electronic device 1910 and the second electronic device 1930 may exchange information related to a function of a service currently provided by each of them with each other through the function exchange protocol 1953 . The exchangeable information may include identification information indicating a specific service among a plurality of services supportable by the first electronic device 1910 and the second electronic device 1930 . For example, the first electronic device 1910 may receive identification information of a specific service provided by the second electronic device 1930 from the second electronic device 1930 through the function exchange protocol 1953 . . In this case, the first electronic device 1910 may determine whether the first electronic device 1910 can support the specific service based on the received identification information.

According to an embodiment, the network protocol 1955 provides a service between electronic devices (eg, the first electronic device 1910 and the second electronic device 1930 ) connected to enable communication, for example, by interworking with a service. It may be a protocol for controlling the data flow, which is transmitted and received for For example, at least one of the first electronic device 1910 and the second electronic device 1930 may use the network protocol 1955 to perform error control or data quality control. Additionally or alternatively, the network protocol 1955 may determine a transmission format of data transmitted/received between the first electronic device 1910 and the second electronic device 1930 . Also, at least one of the first electronic device 1910 and the second electronic device 1930 uses the network protocol 1955 to manage at least a session for mutual data exchange (eg, session connection or session). end) can be done.

According to an embodiment, the application protocol 1957 may be a protocol for exchanging data related to a service provided to an external electronic device, or for providing a procedure or information. For example, the first electronic device 1910 (eg, the electronic device 101) transmits the second electronic device 1930 (eg, the electronic device 104 or the server 106) through the application protocol 1957. service can be provided.

According to an embodiment, the communication protocol 1900 may include a standard communication protocol, a communication protocol designated by an individual or an organization (eg, a communication protocol designated by a communication device manufacturer or a network supplier, etc.), or a combination thereof. have.

As used herein, the term “module” may mean a unit including, for example, one or a combination of two or more of hardware, software, or firmware. The term “module” may be used interchangeably with terms such as, for example, unit, logic, logical block, component, or circuit. A “module” may be a minimum unit or a part of an integrally configured component. A “module” may be a minimum unit or a part of performing one or more functions. A “module” may be implemented mechanically or electronically. For example, a “module” according to the present disclosure is an application-specific integrated circuit (ASIC) chip, field-programmable gate arrays (FPGAs) or programmable logic device (FPGA) that performs certain operations, known or to be developed in the future. logic device).

According to various embodiments, at least a part of an apparatus (eg, modules or functions thereof) or a method (eg, operations) according to the present disclosure is a computer-readable storage medium (eg, in the form of a programming module) It can be implemented as a command stored in -readable storage media). When the instruction is executed by one or more processors (eg, the processor 120), the one or more processors may perform a function corresponding to the instruction. The computer-readable storage medium may be, for example, the memory 1830 . At least a part of the programming module may be implemented (eg, executed) by, for example, the processor 120 . At least a portion of the programming module may include, for example, a module, a program, a routine, sets of instructions, or a process for performing one or more functions.

The computer-readable recording medium includes a magnetic medium such as a hard disk, a floppy disk, and a magnetic tape, and an optical recording medium such as a CD-ROM (Compact Disc Read Only Memory) and DVD (Digital Versatile Disc). Media), magneto-optical media such as a floptical disk, and program instructions such as read only memory (ROM), random access memory (RAM), flash memory, etc. (e.g. programming a hardware device specially configured to store and perform the module). In addition, the program instructions may include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present disclosure, and vice versa.

A module or programming module according to the present disclosure may include at least one or more of the above-described components, some may be omitted, or may further include additional other components. Operations performed by a module, programming module, or other component according to the present disclosure may be executed in a sequential, parallel, iterative, or heuristic manner. Also, some operations may be executed in a different order, omitted, or other operations may be added. According to various embodiments, in a storage medium storing instructions, when the instructions are executed by the at least one processor, the at least one processor is configured to perform at least one operation and detects the movement of the electronic device. a first command set for performing a first command set; a second command set for measuring a biosignal at least once when the detected motion is less than or equal to a threshold value; a third command set for analyzing a parameter of the measured biosignal; A fourth instruction set for converting parameters into biometric information may be included.

In addition, the embodiments of the present disclosure disclosed in the present specification and drawings are merely provided for specific examples to easily explain the technical content of the present disclosure and help the understanding of the present disclosure, and are not intended to limit the scope of the present disclosure. Therefore, the scope of the present disclosure should be construed as including all changes or modifications derived from the technical spirit of the present disclosure in addition to the embodiments disclosed herein as being included in the scope of the present disclosure.

101: electronic device 110: bus
120: processor 130: storage
140: input/output interface 150: display
160: communication interface 170: biosignal controller

Claims (21)

A method for measuring a biosignal in an electronic device, the method comprising:
executing an application related to biometric information of a user wearing the electronic device;
While the application is running, the object including an object that expands to guide the user's inhalation and contracts to guide the user's exhalation and has an animation effect for the inhalation and the exhalation of the electronic device displaying on the display;
acquiring at least one biosignal related to the heart rate of the user through the sensor unit of the electronic device while the object having the animation effect is displayed; and
displaying the biometric information corresponding to the at least one biosignal on the display;
The method is
detecting a motion of the electronic device having an intensity equal to or greater than a threshold intensity;
continuously performing the operation of displaying the object and the operation of acquiring the at least one biosignal based on whether the movement of the electronic device is stopped before exceeding a predetermined time; and
Based on the movement of the electronic device continuing for more than the predetermined time:
terminating the operation of acquiring the at least one biosignal; and
and terminating the operation of displaying the object without displaying the biometric information.
According to claim 1,
The operation of displaying the object is
and displaying, on a display of the electronic device, text for guiding the inhalation and the exhalation together with the object.
According to claim 1,
The animation effect guides the depth of each inhalation and each exhalation of the user.
According to claim 1,
Further comprising the operation of starting the breathing guide on the electronic device,
The breathing guide is started when the biometric information previously measured by the electronic device is high in biometric information for users of the same age as the user.
According to claim 1,
The operation of displaying the biometric information is,
and displaying the biometric information corresponding to the at least one biosignal through the display in real time.
According to claim 1,
The operation of displaying the biometric information is,
and displaying the biometric information in a graph form according to time.
According to claim 1,
The operation of acquiring the at least one biosignal includes:
and acquiring the at least one biosignal for the user for an adjustable preset time period.
delete delete delete An electronic device for measuring a biosignal, comprising:
display;
a sensor unit configured to acquire at least one biosignal; and
at least one processor;
the at least one processor,
executing an application related to biometric information of a user wearing the electronic device;
While the application is running, display the object on the display, including an object that expands to guide the user's inhalation and contracts to guide the user's exhalation, and has an animation effect for the inhalation and exhalation. display,
acquiring at least one biosignal related to the heart rate of the user through the sensor unit while the object having the animation effect is displayed; and
displaying the biometric information corresponding to the at least one biosignal on the display;
the at least one processor,
detecting the movement of the electronic device having an intensity equal to or greater than a threshold intensity;
Continuously performing the operation of displaying the object and the operation of acquiring the at least one biosignal based on whether the movement of the electronic device is stopped before exceeding a predetermined time, and
Based on the movement of the electronic device continuing for more than the predetermined time:
terminating the operation of acquiring the at least one biosignal, and
The electronic device further configured to terminate the operation of displaying the object without displaying the biometric information.
12. The method of claim 11,
the at least one processor,
An electronic device for displaying a text guiding the inhalation and the exhalation together with the object on the display.
12. The method of claim 11,
The animation effect is an electronic device for guiding the depth of each inhalation and each exhalation of the user.
12. The method of claim 11,
the at least one processor,
further configured to initiate breathing guidance on the electronic device;
The breathing guide is started when the biometric information previously measured by the electronic device is high in biometric information for users of the same age as the user.
15. The method of claim 14,
The previously measured biometric information includes at least a heart rate of the user.
15. The method of claim 14,
the at least one processor,
detecting the user's respiration by the electronic device,
comparing the detected respiration with the respiration amount suggested by the respiration guide, and
The electronic device further configured to display a result of the comparison in real time through the display.
12. The method of claim 11,
the at least one processor,
An electronic device further configured to transmit the biometric information to another electronic device.
12. The method of claim 11,
the at least one processor,
The electronic device configured to display the biometric information corresponding to the at least one biosignal through the display in real time.
12. The method of claim 11,
the at least one processor,
An electronic device configured to display the biometric information in a graph form according to time.
12. The method of claim 11,
the at least one processor,
An electronic device configured to acquire the at least one biosignal for the user for an adjustable preset time period.
A non-transitory computer-readable medium having stored thereon computer-executable instructions to be executed by at least one processor of the electronic device to perform a method for measuring biometric information in an electronic device, the method comprising:
executing an application related to biometric information of a user wearing the electronic device;
While the application is running, the object including an object that expands to guide the user's inhalation and contracts to guide the user's exhalation and has an animation effect for the inhalation and the exhalation of the electronic device displaying on the display;
acquiring at least one biosignal related to the heart rate of the user through the sensor unit of the electronic device while the object having the animation effect is displayed; and
displaying the biometric information corresponding to the at least one biosignal on the display;
The method is
detecting a motion of the electronic device having an intensity equal to or greater than a threshold intensity;
continuously performing the operation of displaying the object and the operation of acquiring the at least one biosignal based on whether the movement of the electronic device is stopped before exceeding a predetermined time; and
Based on the movement of the electronic device continuing for more than the predetermined time:
terminating the operation of acquiring the at least one biosignal; and
The non-transitory computer-readable medium further comprising an operation of terminating the operation of displaying the object without displaying the biometric information.

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