KR20160028329A - Electronic device and method for measuring vital information - Google Patents

Abstract

The present invention relates to an electronic device for setting a block and a method thereof. According to the present invention, the method comprises the following operations of: detecting a motion of the electronic device; measuring bio-information at least one time when the detected motion is lower than or equal to a threshold value; analyzing a parameter of the measured bio-information; and converting the analyzed parameter into a stress index. Therefore, the method can efficiently measure stress.

Description

TECHNICAL FIELD [0001] The present invention relates to an electronic device and a method for measuring biometric information,

The present invention relates to an electronic apparatus and method for measuring biometric information.

[0002] Recently, various services and additional functions provided by portable electronic devices are gradually expanding. To increase the utility value of such electronic devices and satisfy various needs of users, various applications that can be executed in electronic devices are being developed.

Through these electronic devices, users can measure their own vital signs, and for this reason, mobile healthcare is in the spotlight. It is one of the bio-signals that can be easily measured by Electrocardiogram (ECG), Photoplethysmography (PPG), Ballistocardiogram (BCG), Impedance Plethysmography. These heart rate measurement methods are considered non-invasive and include various health-related information, making them an optimal measurement method for mobile healthcare. Through this, heart rate variability (HRV) can be measured, and the equilibrium level of the autonomic nervous system of the sympathetic nervous system and the parasympathetic nervous system can be monitored using the heart beat variability.

The analysis method for heart rate variability and the definition of parameters of time and frequency domain are already well known in the academic world. Various parameters can be obtained through heart rate variability analysis. Usually, in order to measure stress, Is used.

However, in the past, only a method of calculating the stress index is not suggested, and it is merely suggested that the measurement of the heart rate variability can measure the stress using the increase or decrease of the parameter.

For example, in the prior art (Patent Document 10-2012-0033777), stress was determined through parameters in the frequency domain of heart beat variability. However, in order to analyze heart beat variability in such frequency domain, a measurement time of at least 2 minutes is required It is not easy to apply to mobile healthcare devices. In addition, another conventional method disclosed in Japanese Patent Laid-Open Publication No. 10-2012-0131898 suggests that a time for measuring heart rate variability is required for calculating the stress index, and stress index, fatigue index, and health index can be obtained using heart rate variability And it is possible to substitute blood glucose, blood pressure, body temperature, body weight, etc. However, it is impossible to analyze heart rate variability using blood glucose, blood pressure, body temperature, and body weight. In addition, although it has been disclosed in the related art (patent document 10-2010-0008875) that it takes 5 minutes to perform frequency domain analysis and nonlinear analysis of heart rate variability, and reading and analyzing the electrocardiogram data from the memory, Individual differences were not reflected in the stress measurement by applying the same method without reflecting the individual heart beat variability.

The above-described prior art can be applied only to an on-demand type product which can be measured only when the user operates the electronic device with an intention to measure the stress, and a method of relieving stress or relieving stress is quantitatively Did not provide.

Therefore, it is possible to measure the biometric information without user's intention and to analyze the stress, to show the analyzed result to the user, and to compare the user's own stress index with the average stress index of the same age group, There is a need to quantify and present the comparison result to the user.

Thus, various embodiments of the present invention provide electronic devices and methods for measuring biometric information.

According to an embodiment of the present invention, there is provided a method of measuring biometric information of an electronic device, the method comprising: sensing movement of an electronic device; measuring biometric information at least once if the detected motion is below a predetermined threshold; Operation, analyzing the measured parameters of the biometric information, and converting the analyzed parameter to a stress index.

According to another aspect of the present invention, there is provided an electronic device for measuring biometric information, comprising: a first sensor unit for sensing movement of an electronic device; A second sensor unit for measuring at least one time, and a controller for analyzing the parameters of the measured biometric information and converting the parameters into a stress index.

According to another aspect of the present invention, there is provided a computer readable storage medium storing a program including instructions for measuring biometric information of an electronic device, the computer readable storage medium comprising: a first instruction set for sensing movement of an electronic device; A second instruction set for measuring biometric information at least once if the motion is less than or equal to a predetermined threshold; a third instruction set for analyzing the measured parameters of the biometric information; And a fourth instruction set.

According to various embodiments of the present invention, by providing an electronic device and method for measuring biometric information, it is possible to compare the stress index of the same age with the stress index of the user, and compare the current stress index with the previous stress index . In addition, according to various embodiments of the present invention, it is possible to provide a guide for relieving the stress so that the user can relieve the stress.

According to various embodiments of the present invention, when the motion is less than a predetermined threshold value, the user's biometric information is measured, and the measured biometric information is combined and converted into a stress index, thereby enabling efficient stress measurement.

1 illustrates a network environment including an electronic device according to various embodiments of the present invention.
2 is a block diagram of a sensor unit for measuring biometric information and a biometric information control unit for controlling measured biometric information according to various embodiments of the present invention.
3A is a perspective view of an electronic device according to one of various embodiments of the present invention.
Figure 3B is a perspective view showing the body portion of the electronic device according to one of the various embodiments of the present invention viewed from a different direction.
3C is a diagram of a sensor module of an electronic device according to one of various embodiments of the present invention.
4A is an exemplary view of an electronic device according to an embodiment of the present invention mounted on a part of a body (a chest or a wrist).
4B is an exemplary view illustrating an electronic device according to an embodiment of the present invention worn on a cuff.
4C is an exemplary view of an electronic device according to an embodiment of the present invention worn on the forehead.
4D is an exemplary view of an electronic device according to an embodiment of the present invention worn on the ankle.
5 is a flowchart illustrating a method of measuring biometric information according to an embodiment of the present invention.
FIG. 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.
FIG. 6B is a diagram illustrating a comparison result when a stress index of a user according to an embodiment of the present invention is higher than an average stress index of the same age range.
7 is a flowchart illustrating a process of measuring biometric information according to an embodiment of the present invention and storing a stress index corresponding to the measured biometric information.
8 is a flowchart illustrating a process of converting biometric information into a stress index by combining biometric information according to an embodiment of the present invention.
FIG. 9 is a diagram illustrating an example of a section for measuring biometric information according to an embodiment of the present invention.
FIG. 10 is a flowchart illustrating a process of comparing a current stress index and an average stress index according to an embodiment of the present invention.
FIG. 11A is an exemplary view comparing a current stress index of a user and a previously stored average stress index according to an embodiment of the present invention.
FIG. 11B is a graph illustrating an average stress index of a user according to time zones according to an exemplary embodiment of the present invention.
FIG. 11C is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention.
FIG. 11D is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention on a monthly basis.
FIG. 11E is an example of comparing the current stress index and the mean stress index according to the embodiment of the present invention by day of the week.
FIG. 11f is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention on weekdays and weekends.
FIG. 11G is an exemplary view comparing the current stress index and the average stress index according to the embodiment of the present invention with the working time and the non-working time.
FIG. 12 is a flowchart illustrating a process of outputting a personalized breathing guide to reduce stress when a stress is high according to an embodiment of the present invention, and outputting a guide and a comparison result by performing actual breathing.
FIG. 13 is an exemplary diagram showing respiration in real time to reduce the stress index in a state where the guide according to an embodiment of the present invention is outputted. FIG.
14 is a flowchart illustrating a method of measuring biometric information according to another embodiment of the present invention.
FIG. 15A is an example of displaying a stress index in real time corresponding to measurement of biometric information according to an embodiment of the present invention. FIG.
FIG. 15B is a diagram illustrating a stress index corresponding to biometric information measured during a predetermined time according to an embodiment of the present invention. FIG.
16A is a graph showing an electrocardiogram (ECG) in biometric information according to an embodiment of the present invention.
FIG. 16B is a graph showing a ballistocardiogram (BCG) in biometric information according to an embodiment of the present invention.
16C is a graph illustrating photoplethysmography (PPG) in the bio-information according to an embodiment of the present invention.
FIG. 16D is a graph showing an impedance blood volume in the biometric information according to an embodiment of the present invention. FIG.
16E is a graph showing an RR interval (RR interval) in an electrocardiogram (ECG) according to an embodiment of the present invention.
16F is a graph showing the JJ period (JJ interval) in the ballistocardiogram (BCG) according to an embodiment of the present invention.
17 shows a block diagram of an electronic device according to various embodiments of the present invention.
18 illustrates a communication protocol 1800 between a plurality of electronic devices (e.g., first electronic device 1810 and second electronic device 1830) in accordance with various embodiments.

The present disclosure will be described below with reference to the accompanying drawings. The present disclosure is capable of various modifications and various embodiments, and specific embodiments are illustrated in the drawings and detailed description of the invention is set forth. It is to be understood, however, that this disclosure is not intended to be limited to the specific embodiments, but includes all changes and / or equivalents and alternatives falling within the spirit and scope of the disclosure. In connection with the description of the drawings, like reference numerals have been used for like elements.

The use of the terms "comprises" or "comprising" may be used in the present disclosure to indicate the presence of a corresponding function, operation, or element, etc., and does not limit the presence of one or more other features, operations, or components. Also, in this disclosure, the terms "comprises" or "having ", and the like, specify that the presence of stated features, integers, But do not preclude the presence or addition of other features, numbers, steps, operations, components, parts, or combinations thereof.

The "or" in the present disclosure includes any and all combinations of words listed together. For example, "A or B" may include A, B, or both A and B.

The expressions "first," " second, "" first, " or "second, " and the like in the present disclosure can modify various elements of the disclosure but do not limit the elements. For example, the representations do not limit the order and / or importance of the components. The representations may be used to distinguish one component from another. For example, both the first user equipment and the second user equipment are user equipment and represent different user equipment. For example, without departing from the scope of the present disclosure, the first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

It is to be understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, . On the other hand, when an element is referred to as being "directly connected" or "directly connected" to another element, it should be understood that there are no other elements in between.

The terminology used in this disclosure is used only to describe a specific embodiment and is not intended to limit the disclosure. The singular expressions include plural expressions unless the context clearly dictates otherwise.

Unless otherwise defined, 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 commonly used dictionaries are to be interpreted as having a meaning consistent with the contextual meaning of the relevant art and are to be interpreted as either ideal or overly formal in the sense of the art unless explicitly defined in this disclosure Do not.

The electronic device according to the present disclosure may be a device including a display control function. For example, the electronic device can be a smartphone, a tablet personal computer, a mobile phone, a videophone, an e-book reader, a desktop personal computer, a laptop Such as a laptop personal computer (PC), a netbook computer, a personal digital assistant (PDA), a portable multimedia player (PMP), an MP3 player, a mobile medical device, a camera, or a wearable device Such as a head-mounted-device (HMD) such as electronic glasses, an electronic garment, an electronic bracelet, an electronic necklace, an electronic app apparel, an electronic tattoo, or a smartwatch.

According to some embodiments, the electronic device may be a smart home appliance having a display control function. [0003] Smart household appliances, such as electronic devices, are widely used in the fields of television, digital video disk (DVD) player, audio, refrigerator, air conditioner, vacuum cleaner, oven, microwave oven, washing machine, air cleaner, set- And may include at least one of a box (e.g., Samsung HomeSyncTM, Apple TVTM, or Google TVTM), game consoles, an electronic dictionary, an electronic key, a camcorder, or an electronic frame.

According to some embodiments, the electronic device may be a variety of medical devices (e.g., magnetic resonance angiography (MRA), magnetic resonance imaging (MRI), computed tomography (CT) (global positioning system receiver), EDR (event data recorder), flight data recorder (FDR), automotive infotainment device, marine electronic equipment (eg marine navigation device and gyro compass), avionics, A security device, a head unit for a vehicle, an industrial or home robot, an ATM (automatic teller machine) of a financial institution, or a point of sale (POS) of a shop.

According to some embodiments, the electronic device may be a piece of furniture or a structure / structure including a display control function, an electronic board, an electronic signature receiving device, a projector, And may include at least one of various measuring instruments (e.g., water, electricity, gas, or radio wave measuring instruments, etc.). An electronic device according to the present disclosure may be one or more of the various devices described above. Further, the electronic device according to the present disclosure may be a flexible device. It should also be 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 as used in various embodiments may refer to a person using an electronic device or a device using an electronic device (e.g., an artificial intelligence electronic device).

1 illustrates a network environment including an electronic device according to various embodiments of the present invention.

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, 170).

An electronic device according to various embodiments of the present invention may include various electronic devices capable of transmitting and receiving data and capable of performing certain operations by transmitting or receiving biometric information. The electronic device may include a smart phone, a mobile phone, a notebook, a door-lock, an air conditioner, a washing machine, a notebook PC, a tablet PC, a smart TV,

The bus 110 may be a circuit that interconnects the components described above and communicates (e.g., control messages) between the components described above.

The processor 120 may communicate with other components (e.g., the storage 130, the input / output interface 140, the display 150, the communication interface 160, or the biometric information control unit 170), decrypts the received command, and executes an operation or data processing according to the decrypted command.

The storage unit 130 may be connected to the processor 120 or other components such as the input and output interface 140, the display 150, the communication interface 160, or the biometric information control unit 170, Or store instructions or data generated by the processor 120 or other components. The storage 130 may include programming modules such as, for example, a kernel 131, a 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 of them.

The kernel 131 may include system resources used to execute operations or functions implemented in other programming modules, such as the middleware 132, the API 133 or the application 134 (E.g., the bus 110, the processor 120, or the storage unit 130). The kernel 131 may also provide an interface through which the individual components of the electronic device 101 may be accessed and controlled or managed in the middleware 132, the API 133 or the application 134 have.

The middleware 132 can act as an intermediary for the API 133 or the application 134 to communicate with the kernel 131 to exchange data. In addition, the middleware 132 may be associated with at least one of the applications 134 with respect to work requests received from the application 134, such as system resources (e.g., (E.g., scheduling or load balancing) of a work request using a method such as assigning a priority to use the bus 110, the processor 120, or the storage 130) can do.

The API 133 is an interface for the application 134 to control the functions provided by the kernel 131 or the middleware 132. For example, the API 133 may be a file control, a window control, At least one interface or function (e.g.

According to various embodiments, the application 134 may be an SMS / MMS application, an email application, a calendar application, an alarm application, a health care application (e.g., an application that measures momentum or blood glucose) E.g., applications that provide air pressure, humidity, or temperature information, etc.). Additionally or alternatively, the application 134 may be associated with the exchange of information between the electronic device 101 and an external electronic device (e.g., the first external electronic device 102 and / or the second external electronic device 104) Application. The electronic device 101 and the first external electronic device 102 may be connected via a wired line 164 and the electronic device 101 and the second external electronic device 104 may be connected via a network 162 Can be connected. And, the application associated with the information exchange may include, for example, a notification relay application for communicating specific information to the external electronic device, or a device management application for managing the external electronic device .

For example, the notification delivery application may send notification information generated by another application (e.g., SMS / MMS application, email application, healthcare application, or environment information application) of the electronic device 101 to an external electronic device 1 external electronic device 102 and / or a second external electronic device 104). Additionally or alternatively, the notification delivery application may receive notification information from, for example, an external electronic device (e.g., electronic device 104) and provide it to the user. The device management application may be configured to perform functions for at least a portion of an external electronic device (e.g., electronic device 104) that communicates with the electronic device 101 (e.g., (E.g., controlling the turn-on / turn-off of the external electronic device or adjusting the brightness (or resolution) of the display), managing an application running on the external electronic device or services , Deleted or updated).

According to various embodiments, the application 134 may be associated with an attribute (e.g., type of electronic device) of the external electronic device (e.g., first external electronic device 102 and / or second external electronic device 104) You can include the application specified accordingly. For example, if the external electronic device is an MP3 player, the application 134 may include an application related to music playback. Similarly, if the external electronic device is a mobile medical device, the application 134 may include applications related to healthcare. According to one embodiment, the application 134 may include an application or an external electronic device (e.g., a first external electronic device 102, a second external electronic device 104, or a server 106) Lt; RTI ID = 0.0 > a < / RTI >

The input / output interface 140 connects commands or data input from a user via an input / output device (e.g., a sensor, a display, a keyboard or a touch screen) to the processor 120, To the storage unit 130, the communication interface 160, or the biometric information control unit 170. For example, the input / output interface 140 may provide the processor 120 with data on the user's touch input through the touch screen. The input / output interface 140 is connected to the processor 120, the storage 130, the communication interface 160, or the biometric information controller 170 through the bus 110 Outputting the command or data through the input / output device (e.g., a speaker or a display). For example, the input / output interface 140 can output voice data processed through the processor 120 to a user through a speaker.

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

The communication interface 160 may connect communications between the electronic device 101 and an external device (e.g., 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 via wireless or wired communication to communicate with the external device. The wireless communication may include, for example, wireless fidelity, Bluetooth, near field communication (NFC), global positioning system (GPS) , WiBro or GSM, etc.). The wired communication may include at least one of, for example, a universal serial bus (USB), a high definition multimedia interface (HDMI), a recommended standard 232 (RS-232) or a 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, an internet, an internet of things, or a telephone network. According to one embodiment, a protocol for communication between the electronic device 101 and an external device (e.g., the first external electronic device 102, the second external electronic device 104) (e.g., transport layer protocol, data link layer protocol or physical layer protocol) may be supported in 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 or a different kind of device as the electronic device 101. [ According to one embodiment, the server 106 may include one or more groups of servers. According to various embodiments, all or a portion of the operations (or functions) implemented in the electronic device 101 may be performed by one or more other electronic devices (e.g., the first external electronic device 102, (E.g., server 104 or server 106). According to one embodiment, in the event that the electronic device 101 has to perform a function or service automatically or upon request, the electronic device 101 may, instead of executing the function or the service itself, Additionally, at least some of its associated functions may be requested to other devices (e.g., first electronic device 102, second electronic device 104, or server 106). The other electronic device (e.g., the first electronic device 102, the second electronic device 104, or the server 106) executes the requested function or additional function and sends the result to the electronic device 101. [ . The electronic device 101 can directly or additionally process the received result to provide the requested function or service. For this purpose, for example, cloud computing, distributed computing, or client-server computing technology may be used.

The server 106 may include a biometric information control server module 108 that can support the biometric information control unit 170 implemented in the electronic device 101. For example, the biometric information control server module 108 may include at least one component of the biometric information control unit 170 to perform at least one of the operations performed by the biometric information control unit 170 )can do.

The biometric information control unit 170 may receive at least one of information acquired from other components (e.g., the processor 120, the storage unit 130, the input / output interface 140, or the communication interface 160) Some of which can be handled and presented to the user in a variety of ways. For example, the biometric information control unit 170 may be configured to communicate with the electronic device 101 (e.g., the electronic device 104 or the server 106) with or without the processor 120. For example, It is possible to control at least some functions of the electronic device 101 to interlock. According to one embodiment, at least one configuration of the biometric information control unit 170 may be included in the server 106 (e.g., the biometric information control server module 108) and may be transmitted from the server 106 to the biometric information control unit 170 The biometric information control unit 170 may receive at least one operation performed by the biometric information control unit 170. Additional information on the biometric information control unit 170 may be provided through FIGs.

2 is a block diagram of a sensor unit for measuring biometric information and a biometric information control unit for controlling measured biometric information according to various embodiments of the present invention.

Referring to FIG. 2, the sensor unit 210 may include a motion sensor 220 and a bio-information measurement sensor 230. The motion sensor 220 may include a motion sensor such as an acceleration sensor 221 and a gyro sensor (not shown). The movement sensor 220 according to various embodiments of the present invention may further include various sensors for detecting motion in addition to the acceleration sensor 221 and the gyro sensor. The bioinformation measuring sensor 230 may include an optical sensor 231, a GSR sensor 232, a temperature sensor 233, and a heartbeat sensor 234. [ The biometric information measurement sensor 230 according to various embodiments of the present invention may further include various sensors capable of measuring biometric information of a user in addition to the above-described sensors.

The motion sensor 220 can 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 one embodiment, the acceleration sensor 221 may include a two axis (X axis, Y axis) acceleration sensor or a three axis (X axis, Y axis, Z axis) acceleration sensor.

The bio-information measuring sensor 230 can measure various bio-signals of the human body and output various bio-sensor values related to the human body. According to one embodiment, the bio-information measuring sensor 230 measures various bio-signals for determining whether the electronic device 101 is worn on the human body, and outputs the bio-sensor value corresponding thereto.

According to various embodiments, the bio-information measurement sensor 230 may include a photo sensor 231, a galvanic skin response sensor 232, a temperature sensor 225 and a heart rate sensor 234, Or the like. The bio-information measuring sensor 230 may further include other bio-sensors that can measure the bio-information of the human body or whether the electronic device 101 is worn on the human body in addition to the sensors described above.

The optical sensor 231 can convert light itself or information contained in light into an electric signal. The optical sensor 231 may include a light emitting portion and a light receiving portion, output light through the light emitting portion, and receive light through the light receiving portion. The optical sensor 231 may be in contact with or in contact with a part of the human body when the electronic device 101 is worn on the human body. When the light sensor 231 comes close to or touches a part of the human body, the light output through the light emitting unit can be irradiated to the human body, and the light reflected by the light irradiated to the human body can be received by the light receiving unit. The light sensor 231 can output light through the light emitting unit and then measure and output the amount of light received through the light receiving unit. The amount of light of the measured light may be used to determine whether the light sensor 231 is in contact with or proximate to a portion of the human body and whether the light sensor 231 is in proximity to or in contact with a portion of the human body may be determined by the electronic device 101, May be used to determine whether or not it has been worn on the human body.

The GSR sensor 232 may comprise a current skin resistance response sensor. The GSR sensor 232 may be any one of an EDR (Electrodermal response) sensor, a PGR (psycho galvanic reflex) sensor, and a SCR (skin conductance response) sensor. The GSR sensor 232 includes an ohmmeter and is capable of measuring the electrical conductivity between two points on the skin. The GSR sensor 232 may be proximate or in contact with a portion of the human body when the electronic device 101 is worn on the human body. The GSR sensor 232 can output a skin resistance value by measuring the electrical conductivity between two points on the skin after flowing a predetermined small amount of current to the skin of the human body when the human body approaches or touches a part of the human body. The measured electrical conductivity may be used to determine whether the GSR sensor 232 is proximate or contacted with a portion of the body and whether the GSR sensor 232 is proximate or contacted with a portion of the human body may be determined by the electronic device 101 It can be used to judge whether or not it is worn on the human body.

The temperature sensor 233 may be a sensor that measures the internal resistance by a temperature change or the internal resistance value, the voltage change value, or the current change value when the voltage or current changes. The temperature sensor 233 can come into contact with or touch a part of the human body when the electronic device 101 is worn on the human body. The temperature sensor 233 can output an internal resistance change value, a voltage change value or a current change value due to the heat of the human body when the temperature sensor 233 is in proximity to or contact with a part of the human body. The measured internal resistance change value, the voltage change value, or the current change value may be used to determine whether the temperature sensor 233 is in proximity to or contacted with a part of the human body, and the temperature sensor 233 is close to a part of the human body Whether contact has been made can be used to determine whether the electronic device 101 has been worn on the human body.

The heart rate sensor 234 can measure a bio-signal related to a heartbeat in a mechanical, electrical, or optical manner. The heartbeat sensor 234 includes an electrocardiogram sensor (not shown) for measuring electrocardiogram (ECG), a heart ballistic sensor (not shown) for measuring cardiac trajectory, a heart sound level sensor (not shown) for converting vibrations caused by heart or large blood light into electrical signals Not shown). In addition, the heartbeat sensor 234 according to various embodiments of the present invention may include various sensors capable of measuring the biometric information of the human body in addition to the sensors described above. In addition, the biometric information measurement sensor 230 may include other sensors as long as the biometric information measurement sensor 230 can measure biometric signals that can determine whether the electronic device 101 is worn on the human body, in addition to the above-described sensors. For example, it may include an HRV (Heart Rate Variability) sensor for measuring a pulse wave signal. Such electronic device 101 may be any of a variety of devices that may be worn on a part of the body of the user.

The biometric information control unit 170 may include a biometric information acquisition module 240, a parameter analysis module 250, a stress index conversion module 260, and a stress resolution guide providing module 270. The biometric information control unit 170 controls at least one of the biometric information measurement module 240, the parameter analysis module 250, the stress index conversion module 260, and the stress resolution guide providing module 270, Function can be performed. The functions performed by at least one of the bio-information measurement module 240, the parameter analysis module 250, the stress index conversion module 260, and the stress resolution guide providing module 270 may be performed by the processor 120 , The biometric information control unit 170 may be referred to as a control unit.

According to one embodiment, the biometric information control unit 170 acquires the measured biometric information from the sensor unit 210, analyzes the acquired parameters of the biometric information, converts the analyzed parameters into the stress index, The converted stress index may be compared with the stress index of the same age range as the user who measured the biometric information, and the comparison result may be output.

The biometric information control unit 170 can acquire biometric information from the sensor unit 210 at least once. The biometric information control unit 170 may sense movement of the electronic device 101 to acquire biometric information and may acquire the biometric information from the sensor unit 210 when the motion is less than a predetermined threshold value have. The predetermined threshold value can be variably adjusted. The biological information control unit 170 can receive information on the presence or absence of respiration and the amount of respiration sensed through at least one sensor provided in the sensor module 1740 to determine that respiration has been detected and analyze the amount of respiration.

The biometric information control unit 170 may measure the biometric information for a predetermined time (for example, 30 seconds) to analyze parameters of the biometric information when the motion is less than a predetermined threshold value. If the motion is smaller than the predetermined threshold value, the biometric information can be continuously measured for the predetermined time. When a motion smaller than a predetermined threshold value is continued for a time shorter than a predetermined time (for example, 10 seconds) in order to obtain the biometric information parameter, the biometric information can be measured only during the motionless section. The biometric information control unit 170 can sum up the biometric information corresponding to the difference between the time periods for measuring biometric information less than a predetermined time and analyze the parameters of the summed biometric information. If two non-consecutive intervals are shorter than a predetermined threshold value, they can be used to obtain parameters of biometric information by continuously combining them. For example, if a discontinuous interval measuring biometric information is 10 seconds, 15 seconds, 5 seconds, and the data interval is less than a predetermined time (e.g., 1 minute) from each other (e.g., Thereafter, when the biometric information is not measured due to a motion occurring for 1 minute), the biometric information control unit 170 may combine the 30 seconds to obtain the biometric information parameter. And, the predetermined threshold value can be variably adjusted.

The biometric information control unit 170 can acquire biometric information at least once and analyze the acquired parameters of the biometric information. The biometric information control unit 170 can analyze the parameters in the time domain of the acquired biometric information and analyze the displacement of the parameters using the beating interval of the biometric information. The biometric information may include at least one of a heart beat, a pulse, an impedance plethysmography, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG), and a blood flow. The parameters include the heart rate (HR), the heart rate, the standard deviation of the NN intervals (SDNN), and the Root Mean of Sum of the number of squared differences Squared Differences (RMSSD), and a percentage of consecutive heartbeat cycles in the entire heartbeat cycle that exceeds 50 ms (percent of successive normal NN intervals difference greater than 50 msec: pNN50). The heartbeat interval may include at least one of a heartbeat interval (RR interval), a pulse interval, and a JJ interval of the bioinformation. The heartbeat cycle represents two peak intervals of the electrocardiogram, the JJ cycle represents two peak intervals of the cardiac trajectory, and the pulse cycle represents two peak intervals of the impedance blood volume and the optical blood flow.

The biometric information control unit 170 may convert the analyzed parameters into a stress index. The biological information control unit 170 can take the natural logarithm (ln) into the reciprocal of the parameter and convert it into a stress index. The bio-information controller 170 may convert the analyzed parameter into a stress index by taking a natural logarithm to a value obtained by dividing 1000 by a heart rate variability (HRV). The biometric information control unit 170 may compare the converted stress index with the stress index of the same age group as the user who measured the biometric information. The biometric information control unit 170 can receive the age of the user and compare the converted stress index with the age of the inputted user or the average stress index of the same age group. Through these comparisons, it is possible to determine whether the user's stress index measuring the biometric information is higher or lower than the same age or average stress index of the same age range. The average stress index may be stored in the electronic device 101 or received from the server 106.

The biometric information control unit 170 compares the converted stress index with an age or an average stress index of the same age group as the input user's age and outputs the comparison result through the display 150. [ The biological information control unit 170 may output the comparison result through at least one of voice, vibration, and graphical user interface (GUI). The biological information control unit 170 may generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result and output the generated guide through the display 150. [ The biological information control unit 170 may generate and output a guide for lowering the stress index when the converted stress index is higher than the stress index of the same age range. When the converted stress index is lower than the stress index of the same age range, the biometric information control unit 170 may generate and output a guide including health information indicating a low stress index. The guide may include at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index. The biological information control unit 170 may compare the sensed breath with the guide in real time when the respiration is sensed by the user while the guide is being output. The biological information control unit 170 scales the stress index changed by the sensed breath and outputs the changed stress index according to the respiration so that the user can recognize that the stress index is changed by breathing.

In addition, the biometric information control unit 170 may store the converted stress index. The biological information control unit 170 may calculate the average of the stress index in units of at least one of time, day, day, month, and year, and store the average in the storage unit 130. The storage unit 130 may store the converted stress index corresponding to the biometric information measured by the user in real time and may average the stored stress index in units of at least one of time, day, day, month, and year Can be calculated and stored. In addition, the storage unit 130 may store an average stress index for each age group (e.g., 10, 20, 30,...) And periodically or aperiodically from the server 106 providing such an average stress index And receive and store.

According to one embodiment, the biometric information acquisition module 240 may acquire at least one biometric information measured from the sensor unit 210. At least one sensor module provided in the electronic device 101 or the electronic device 101 can sense the movement of the electronic device 101. [ The electronic device 101 may be a wearable electronic device for measuring a user's biometric information, and may be mounted on a part of the body. The electronic device 101, which can be mounted on a part of the body, can measure the user's heartbeat, pulse, electrocardiogram, optical blood flow, and blood flow volume through the bio-information acquisition module 240, Heart rate, electrocardiogram, photoperiod and blood flow can be measured. The biometric information acquisition module 240 can measure the biometric information at least once if the motion is less than a predetermined threshold value. The biometric information acquisition module 240 can detect the movement of the electronic device 101 and determine whether to measure biometric information. When the movement of the electronic device 101 is sensed, the biometric information acquisition module 240 may acquire at least one biometric information from the sensor unit 210. The electronic device 101 measures sweat discharge amount through a GSR sensor (not shown), and can determine whether the user is physically stable through the measurement result. If the user is determined to be physically stable, the electronic device 101 can perform a stress analysis to measure a reference stress level required for a relative stress analysis. The biometric information may include at least one of a heart beat, a pulse, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG), and a blood flow. The heartbeat interval may include at least one of at least one of an RR interval, a pulse interval, and a JJ interval of the bio-information. The biometric information measurement module 210 can measure the biometric information in real time and transmit the measured value to the parameter analysis module 250.

According to one embodiment, the parameter analysis module 250 may analyze the parameters of the biometric information through the biometric information received from the biometric information acquisition module 240. The parameter analysis module 250 may analyze parameters in the time domain of the measured biometric information. In addition, the parameter analysis module 250 can analyze the displacement of the parameter using the beating interval of the biometric information. The parameter analysis module 250 analyzes the heart rate, the pulse rate, the optical blood flow, the ballistocardiogram (BCG), the electrocardiogram (ECG), the photoplethysmography (PPG) At least one beating interval can be measured. The parameter analysis module 250 analyzes the heart rate (HR), the heart rate, the standard deviation of the NN intervals (SDNN), and the number obtained by squaring the difference between the consecutive heart rate values At least one of the percentages of consecutive normal NN intervals difference greater than 50 msec: pNN50 (the mean of the root mean square of the squared differences (RMSSD) You can analyze the included parameters. The heartbeat interval may analyze a parameter including at least one of a heartbeat interval (RR interval), a pulse interval and a JJ interval of the bio-information. The heartbeat period represents two peak intervals of the electrocardiogram, the JJ period represents two peak intervals of the cardiac trajectory, and the pulse period represents two peak intervals of the optical blood flow and the optical blood flow. The parameter analysis module 250 may transmit the analyzed result to the stress index conversion module 230.

According to one embodiment, the stress exponent conversion module 260 may convert the parameters received from the parameter analysis module 250 to a stress exponent. The stress index conversion module 260 may take the natural logarithm (ln) in the reciprocal of the parameter and convert the parameter into a stress index. The stress index conversion module 260 may take a natural logarithm to a value obtained by dividing 1000 by a heart rate variability (HRV), and convert the analyzed parameter into a stress index. The stress index conversion module 260 can compare the converted stress index with the stress index of the same age group as the user who measured the biometric information. The stress index conversion module 260 compares the current stress index of the user who measured the biometric information through the biometric information measurement module 210 with the user's age or the input age of the user, Can be compared. Through these comparisons, it is possible to determine whether the user's stress index measuring the biometric information is higher or lower than the same age or average stress index of the same age range.

According to one embodiment, the stress reduction guide providing module 270 includes a result of comparing the stress index of the user with the stress index of the same age group as the user through the stress index received from the stress index converting module 260 Can be generated. The stress relief guide providing module 270 may generate a guide that indicates a low stress index and includes health information when the transformed stress index is lower than the stress index of the same age range. The guide may include at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index. The biological information control unit 170 may store the converted stress index. The biological information control unit 170 may calculate the average of the stress index in units of at least one of time, day, day, month, and year, and store the average in the storage unit 130. The guide may include a result of comparing the stress index corresponding to at least one of the current stress index of the user and the stress index of the previously stored user by time, day, day, month, and year. The guide can display the stress index of the same age range and the stress index changed by breathing measured in real time in real time. The guide may include at least one of a maximum stress index, a minimum stress index, and a current stress index comparison result of at least one of time, day, day, month, and year. At least one sensor of the sensor unit 210 or the sensor module 1740 can measure the breathing of the user in real time.

At least one function performed by the biometric information acquisition module 240, the parameter analysis module 250, the stress index conversion module 260 and the stress resolution guide providing module 270 is performed by the biometric information control unit 170 Or may be performed in the processor 120. [

Figure 3a is a perspective view of an electronic device according to one of various embodiments of the present invention, Figure 3b is a perspective view showing a body portion of an electronic device according to one of various embodiments of the present invention viewed from another direction, 3c is a view of a sensor module of an electronic device according to one of various embodiments of the present invention.

Referring to FIG. 3A, an electronic device 101 according to an embodiment of the present invention illustrates an electronic device that can be worn, for example, as a watch, an armband, a hair band, or a brace. However, it should be understood that the various embodiments of the present invention are not limited thereto, but may be embodied in various other forms such as a bracelet, a strip, a band, a band-type band, a belt, Clip type, arm band type, contact lens device, digital garment, remote controller, or the like. In addition, the electronic device 101 according to various embodiments of the present invention can be variously applied to a portion where the curvature exists in the user's body. An example of a body part where a curvature exists in a user's body is a wrist, a cuff, or an ankle. In addition, the electronic device according to various embodiments of the present invention can be conveniently worn on various parts of the user's body, depending on the configuration of the wearer.

The electronic device 101 according to one of the various embodiments of the present invention may include a body portion 310 and a wear portion 320 having a wear member (including a band or strap). The main body 310 may be coupled to or detachable from the wearer 320. A display unit 311 for displaying various kinds of information, a push key (for example, a side key 331) for inputting various kinds of information, a sensor unit (for example, a biometric information measuring sensor) , A touch input unit, and the like. The main body 310 may include a front surface F and a rear surface R that contacts the user's body in a wearing state. The display device 311 may include a front surface F of the main body 310, The sensor unit may be disposed on at least one of the rear surface R of the main body 310 and the wearer 320. In addition, the sensor unit may be disposed on the rear surface R of the main body 310 or may be disposed at any position of the wearer 320 which may be in close contact with the user.

The body portion 310 may have a curved shape corresponding to a user's body at least partially in a bar-shaped shape. For example, the main body 310 may have a rectangular shape extending in the longitudinal direction (Y-axis direction), and may have a curvature. Binding grooves 340a and 340b may be formed on the side surface of the main body 310 to engage with the wear parts 320. [ The binding groove may be formed in a plurality of side surfaces of the main body 310 or may have a closed curve shape extending along the periphery of the main body 310.

The wearer 320 is made of an elastic material so that the body 310 can be stably worn on the user's body and the body 310 can be brought into close contact with the user's body skin as needed . In addition, the main body 310 is detachably attached to the wearer 320, and the wearer 320 can be used in accordance with the user's individuality or taste. In another embodiment, the portion of the wearing portion 320 coupled with the body 310 (e.g., the seat portion 321) is configured to be elastically deformable, and a wear surface portion (The inner surface of the first and second wearer members 320) may not be made of an elastic material. The wearer 320 may include an opening portion through which the main body portion 310 is detached, The seating portion 321 is formed to surround the opening and at least the seating portion 321 of the wearing portion 320 may be made of an elastic material. At least a portion of the seating portion 321 may be fitted into a coupling groove extending along a side surface of the main body portion 310 when the coupling portion 320 is coupled.

The first and second wearing members 340a and 340b may extend from at least a portion of the seating portion 321 to be away from each other along the longitudinal direction Y of the body portion 310. [ Considering that the electronic device 101 is worn on the wearer's body, the first and second wearing members 340a and 340b are positioned in the thickness direction of the main body 310 with respect to the seating portion 321, (Z). In addition, the wearer 320 may include means for binding the first and second wearers 340a and 340b to each other.

The body 310, for example, the body housing 330, may have a curved shape. Since the seat portion 321 is made of a material having elasticity and elastically deformed, the seat portion 321 can be coupled while being deformed according to the shape of the body portion 310. In the case of a changeable structure, the wearing part 320 may be implemented in various designs and colors and may be used in accordance with the user's taste. For example, the wearer 320 may be used as an accessory to show its own personality.

Referring to FIG. 3B, the main body 310 has a curvature. The front surface F of the main body housing 330 has a display 311 disposed therein to facilitate the display of the displayed screen. Has a good fit to the wrist and can be provided with a shape that is in close contact with the user's body wrist because the sensor module 210 (e.g., biometric information measurement sensor) is disposed.

The body housing 330 has an appropriate curvature in consideration of the body shape of the user, for example, the thickness and the curvature of the wrist, thereby improving the wearer comfort and improving the compatibility with various consumer wrist circumferences. A curved display device 311 is provided on the front surface of the main body housing 330 and a sensor module S such as a biosensor is provided on the rear surface R and the rear surface R is provided on the user's body : Wrist). As described above, the main body housing 330 has a curvature in consideration of the user's body shape and the like, and can closely contact the sensor unit 210 with the user's body. The sensor unit 210 included in the main body 310 may include at least one of an optical sensor, a GSR sensor, a temperature sensor, and a heart rate sensor. The display 311 reflects a user's body surface, but may be a flat panel display (LCD), 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 main body unit 330, for example, an interface window. A protrusion (not shown) may be formed on the rear surface R to dispose the sensor interface unit 360. As the sensor interface unit 360 is disposed on the protruding portion, the sensor module 210 may be more closely attached to the body of the user in detecting a biological signal. Connecting members 350, e.g., charging terminals, may be arranged on the rear surface R of the body portion 330. [ The arrangement of the connecting members 350 may be located adjacent to the sensor module S.

3C, the sensor unit 210 includes an acceleration sensor 221 and a biosensor for measuring a biological signal, such as a heart sensor 234, a GRS sensor 232, and a temperature sensor 233 May be disposed in at least one of the rear surface (R) and the wearing portion (320) of the main body housing (33) in a module form. In addition, the sensor unit may be disposed on the rear surface R of the main body 310 or may be disposed at any position of the wearer 320 which may be in close contact with the user.

According to one embodiment, the acceleration sensor 221 may be a two axis (X axis, Y axis) acceleration sensor or a three axis (X axis, Y axis, Z axis) acceleration sensor. The living body 210 may measure various kinds of living body signals of the human body and output various living body sensor values related to the human body, and at least one of the living body sensors may be activated for detecting the wearing state. According to one embodiment, the heartbeat sensor 234 may be activated, the GRS sensor 232 may be activated, or the temperature sensor 233 may be activated for wear detection. Alternatively, more than one sensor may be activated. And may include other biological sensors for detecting a sensing value for determining whether the electronic device 101 is worn.

FIG. 4A is an exemplary view of an electronic device according to an embodiment of the present invention mounted on a part of a body (a chest or a wrist), FIG. 4B is an exemplary view of an electronic device according to an exemplary embodiment of the present invention, FIG. 4C is an exemplary view of an electronic device according to an embodiment of the present invention, and FIG. 4D is an exemplary view illustrating an electronic device according to an exemplary embodiment of the present invention.

An electronic device 101 according to an embodiment of the present invention may include a wearable electronic device having at least one sensor for measuring a user's biometric information and the electronic device 101 or at least one sensor It may be mounted on a part thereof. Further, the electronic device 101 according to the embodiment of the present invention can receive biometric information measured from the at least one sensor, analyze the received parameters, and convert the analyzed parameters into stress indexes , The at least one sensor may be structurally separate from the electronic device and mounted to the body, and the electronic device 101 may include various electronic devices such as a portable terminal, a cellular phone, a notebook, a tablet PC, etc., .

4A, a user may mount an electronic device (e.g., a smart watch) 410 equipped with the at least one sensor on his or her wrist. In addition, the electronic device 410 may receive the bio-signal measured from the patch-type electronic device (e.g., pacemaker) 420 attached to the chest. The electronic devices 410 and 420 may be sensors for measuring biometric information. In this case, the electronic devices 410 and 420 may transmit the measured biometric information to various electronic devices such as a portable terminal, a cellular phone, a notebook, Device.

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

Referring to FIG. 4C, the electronic device 101 may be a hair band 440 worn on the head. The hair band 440 may calculate the motion intensity in a predetermined time unit and judge a change in the motion intensity to judge whether the motion intensity change pattern is worn on the head when the change pattern is a predetermined pattern. Hair band 440 may perform sleep monitoring when worn on the head.

4D, the electronic device 101 may be a brace 450 that can be worn on the ankle. The footbal 450 may calculate the motion intensity in a predetermined time unit and determine a change in the motion intensity to determine whether the motion intensity change pattern is worn on the ankle when the change pattern is a predetermined pattern. The ankle 450 can perform sleep monitoring when worn on the ankle. The present invention can be installed anywhere in a user's body that can measure biometric information of a user in these various electronic devices. In addition, the electronic device according to various embodiments of the present invention may be mounted anywhere on the user's body, which can measure the user's biometric information in addition to the user's wrist, ankle, forehead and chest.

The electronic device 101, 410, 420, 430, 440, 450 according to various embodiments of the present invention may sense motion to measure biometric information, and if the motion is less than a predetermined threshold, Information can be measured. The electronic devices 101, 410, 420, 430, 440 and 450 may be mounted with at least one of an acceleration sensor, an optical sensor, a GSR sensor, a temperature sensor, and a heartbeat sensor capable of sensing motion and measuring biometric information . In addition, the electronic device according to various embodiments of the present invention may be equipped with various sensors capable of sensing motion and measuring biometric information in addition to the sensors described above.

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

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

The electronic device 101 may measure biometric information for a predetermined time (510). The electronic device 101 can measure the biometric information at least once. The electronic device 101 may measure the biometric information at least once for a predetermined time (e.g., 30 seconds). The predetermined time may be in seconds or in minutes. And, the measurement can be measured in ms. This predetermined time and the time (e.g. ms) of the measurement unit can be variably adjusted.

The measurement time according to the parameters of the biometric information according to the embodiment of the present invention is 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

As shown in Table 1, in the case of HR, SDNN, RMSSD and pNN50, the data lengths of 10 seconds, 240 seconds, 30 seconds and 60 seconds are statistically similar to 5 minutes data. In general, SDNN is related to stress, and RMSSD has a high correlation with SDNN. Therefore, the present invention can measure biometric information without distortion even when using a sufficient RMSSD even in 30 seconds instead of SDNN requiring a minimum of 240 seconds. Further, since SDNN can be used in the wearable device such as a wristwatch-type device, it is possible to measure non-subjective and continuous biometric information.

Then, the electronic device 101 may analyze the parameter variation in the time domain using the measured biometric information (512) and convert the analyzed parameter to a stress index (514). The electronic device 101 can measure the biometric information at least once and analyze the parameters of the measured biometric information. The electronic device 101 can analyze the parameters in the time domain of the measured biometric information and analyze the displacement of the parameters using the beating interval of the biometric information. The parameter in the time domain of the heartbeat side can be the square root of the mean value of the squared difference of successive heartbeat period values and the measurement time can be in seconds. In this case, the electronic device 101 accumulates the intervals of the measured heartbeat cycles and accumulates them until the final sum exceeds the first predetermined time. Also, the electronic device 101 can measure and accumulate until the number of heart beats reaches a predetermined threshold. The biometric information may include at least one of a heart beat, a pulse, an impedance plethysmography, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG), and a blood flow. The parameters include the heart rate (HR), the heart rate, the standard deviation of the NN intervals (SDNN), and the Root Mean of Sum of the number of squared differences Squared Differences (RMSSD), and a percentage of consecutive heartbeat cycles in the entire heartbeat cycle that exceeds 50 ms (percent of successive normal NN intervals difference greater than 50 msec: pNN50). The heartbeat interval may include at least one of a heartbeat interval (RR interval), a pulse interval, and a JJ interval of the bioinformation. The heartbeat period represents two peak intervals of the electrocardiogram, the JJ period represents two peak intervals of the cardiac trajectory, and the pulse period represents two peak intervals of the optical blood flow and the optical blood flow.

The electronic device 101 may then convert the analyzed parameters to a stress index. The electronic device 101 can take the natural logarithm in the inverse of the parameter and convert it into the stress index. The electronic device 101 may convert the analyzed parameter to a stress index using Equation (1) below.

In Equation (1), P denotes a parameter.

The electronic device 101 can convert the analyzed parameter into a stress index through Equation (1).

The electronic device 101 may compare the converted stress index with the average stress index of the same stored age range, and output the comparison result (516, 518). The electronic device 101 can compare the converted stress index with the stress index of the same age group as the user who measured the biometric information. The electronic device 101 can receive the age of the user and compare the converted stress index with the age of the inputted user or an average stress index of the same age range. The average stress index may be stored in the electronic device 101 or received from the server 106. Through these comparisons, it is possible to determine whether the user's stress index measuring the biometric information is higher or lower than the same age or average stress index of the same age range. Then, the electronic device 101 may generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result. The electronic device 101 may generate a guide for lowering the stress index if the transformed stress index is higher than the stress index of the same age range. The electronic device 101 may generate a guide that indicates a low stress index and contains health information if the transformed stress index is lower than the stress index of the same age range. The guide may include at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index. Then, the electronic device 101 can output the 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 graphical user interface (GUI). The electronic device 101 may sense breathing or may receive information about the breathing volume and the breathing volume sensed through at least one sensor provided in the sensor module 1740 to determine that breathing has been sensed, Tidal volume can be analyzed. The electronic device 101 can generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result, and can output the generated guide. The electronic device 101 can compare the sensed breath with the guide in real time when the respiration is sensed by the user while the guide is being output.

FIG. 6A is a diagram illustrating a comparison between a user's stress index and an average stress index at the same age according to an exemplary embodiment of the present invention. FIG. 6B is a graph illustrating an average stress index Is higher than the index.

Referring to FIG. 6A, FIG. 6A is a diagram illustrating a comparison between a user's stress index and an average stress index at the same age according to an embodiment of the present invention. The average and standard deviation of the pyramids And the user's measured parameters are converted into the stress index using the mean and standard deviation of the same age range. When the stress index is converted into the stress index of the same age group, Or how low it is. The first interval is when the user's stress index is much lower than the average stress index of the same age range, the second interval is when the user's stress index is a little lower than the average stress index of the same age range, A third interval when the user's stress index is slightly higher than the average stress index of the same age range, a fourth interval when the user's stress index is slightly higher than the average stress index of the same age range of the third interval, The third section is much higher than the average stress index of the same age group in the fifth section. Through such a comparison, the user can know how high or low the stress index of his / her current stress index is than those of the same age as his / her own, and the comparison result can be output through the display 150.

6B shows an example of a comparison result when the stress index of a user according to an embodiment of the present invention is higher than the average stress index of the same age range. If the exponent is higher than the exponent, the electronic device 101 may output the result of the comparison through the display 150. The display 150 displays information for lowering the stress index when the stress index of the user is higher than the stress index of the same age range according to the comparison result and when the user's stress index is lower than the stress index of the same age range A first region 610 that represents a low stress index and displays healthful information, and a second region 620 that represents how high or low the user's stress index is in comparison with the average stress index of the same age range Can be divided.

For example, if the user's stress index is higher than the stress index of the same age group, the first region 610 may display a message of caution for health because the stress index is higher than the same age range, A variety of information such as food for lowering, exercise method, weight control and breathing method can be displayed. Also, since the first region 610 has a higher stress index than the same age range, the first region 610 can display an animation to pay attention to health. The second region 620 may display a graph 621 corresponding to the user's own stress index and an average stress index of the same age range. In addition, the second region 620 can display the expressions of the emoticons 622 and 624 differently according to the difference of the stress index of the user in the same age range. Through the expression of the emoticons, We can recognize the seriousness of the need to reduce.

7 is a flowchart illustrating a process of measuring biometric information according to an embodiment of the present invention and storing a stress index corresponding to the measured biometric information.

Hereinafter, a process of measuring biometric information according to an embodiment of the present invention and storing a stress index corresponding to the measured biometric information will be described in detail with reference to FIG.

The electronic device 101 may measure the biometric information (710). The electronic device 101 can measure the biometric information at least once. Electronic device 101 may measure biometric information at least once for a predetermined time. The electronic device 101 may measure the biometric information at least once for a predetermined time (e.g., 30 seconds). The predetermined time may be in seconds or in minutes. And, the measurement can be measured in ms. This predetermined time and the time (e.g. ms) of the measurement unit can be variably adjusted. The electronic device 101 can measure biometric information in real time.

The electronic device 101 may analyze the parameter variations in the time domain using the measured biometric information (712) and convert the analyzed parameters to a stress index (714). The electronic device 101 can analyze the parameter variation in the time domain in real time using the biological information measured in real time and convert the analyzed parameter into the stress index in real time. The electronic device 101 can measure the biometric information at least once and analyze the parameters of the measured biometric information. The electronic device 101 can analyze the parameters in the time domain of the measured biometric information and analyze the displacement of the parameters using the beating interval of the biometric information. The parameter in the time domain of the heartbeat side can be the square root of the mean value of the squared difference of successive heartbeat period values and the measurement time can be in seconds. In this case, the electronic device 101 accumulates the intervals of the measured heartbeat cycles and accumulates them until the final sum exceeds the first predetermined time. Also, the electronic device 101 can measure and accumulate until the number of heart beats reaches a predetermined threshold. The electronic device 101 may then convert the analyzed parameters to a stress index. The electronic device 101 can take the natural logarithm in the inverse of the parameter and convert it into the stress index.

The electronic device 101 may store the analyzed parameter variation and the transformed stress index (716). 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 which is converted corresponding to the measurement of the at least one biometric information in the storage unit 130 at every biometric information measurement. In addition, the electronic device 101 may calculate and store an average of at least one stress index that is translated corresponding to the measurement of the at least one biometric information. In addition, the electronic device 101 may calculate the average of the converted stress index or the previously stored stress index in units of at least one of time, day, day, month, and year, and store the calculated average in the storage unit 130. Such a series of processes for measuring biometric information, analyzing parameter displacement, converting to stress index, and storing the converted stress index can be performed for less than a unit time for measuring biometric information. In addition, the results obtained by a series of processes for measuring biometric information, analyzing parameter displacement, converting to stress index, and storing the converted stress index are stored in a temporary memory (not shown), and after the measurement of biometric information is completed , Each result value may be stored or an average of each result value may be calculated and stored.

When the electronic device 101 detects the biometric information, the process returns to the step 710 and the biometric information can be measured. The above-described processes 710 to 718 may be repeatedly performed for a predetermined time or when biometric information is detected.

8 is a flowchart illustrating a process of converting biometric information into a stress index by combining biometric information according to an embodiment of the present invention.

Hereinafter, the process of converting biometric information according to an embodiment of the present invention into a stress index will be described in detail with reference to FIG.

If no movement occurs (810), the electronic device 101 may measure the biometric information and temporarily store the measured biometric information (820). The electronic device 101 can measure the biometric information at least once while no motion is generated. The measurement can be measured in ms. This predetermined time and the time (e.g. ms) of the measurement unit can be variably adjusted. The electronic device 101 can measure biometric information in real time while motion is not generated. Then, the electronic device 101 can temporarily store the measured biometric information. If motion is generated in step 810, the electronic device 101 may determine whether the generated motion exceeds a predetermined time. In addition, the electronic device 101 may determine whether the motion lasts for a predetermined time. For example, if the generated motion does not exceed the predetermined time, the electronic device 101 feedbacks to the process 810 to detect whether motion is generated, and if not, performs an operation of measuring biometric information repeatedly can do.

If the total sum of the measured biometric information is greater than or equal to a predetermined value 830, the electronic device 101 may analyze the parameter variation in the time domain using at least one biometric information temporarily stored 840. The electronic device 101 can measure the biometric information while the motion is not sensed and store the measured biometric information. When a motion occurs during the measurement of the biometric information, the electronic device 101 can suspend the operation of measuring the biometric information. In addition, the electronic device 101 can perform the operation of measuring the biometric information again if no motion is detected while the measurement operation is temporarily stopped. As described above, when the total sum of the times of measuring the biometric information is equal to or longer than a predetermined time (e.g., 30), the electronic device 101 can add the stored biometric information and calculate the parameters Variations can be analyzed. The electronic device 101 can analyze the parameters in the time domain of the measured biometric information and analyze the displacement of the parameters using the beating interval of the biometric information. The parameter in the time domain of the heartbeat side can be the square root of the mean value of the squared difference of successive heartbeat period values and the measurement time can be in seconds. In this case, the electronic device 101 accumulates the intervals of the measured heartbeat cycles and accumulates them until the final sum exceeds the first predetermined time. Also, the electronic device 101 can measure and accumulate until the number of heart beats reaches a predetermined threshold.

The electronic device 101 may convert the analyzed parameter to a stress index, and store the analyzed parameter variation and the converted stress index (850). The electronic device 101 may convert the analyzed parameter to a stress index. The electronic device 101 can take the natural logarithm in the inverse of the parameter and convert it into the stress index. The electronic device 101 may store the analyzed parameter variation and the transformed stress index (716). 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 which is converted corresponding to the measurement of the at least one biometric information in the storage unit 130 at every biometric information measurement. In addition, the electronic device 101 converts the biometric information into the stress index through the parameter variation analyzed through the combined at least one biometric information when the total sum of the biometric information measurement times is equal to or greater than a predetermined time (e.g., 30 seconds) . The stress index may be stored in the storage unit 130 by averaging at least one unit of time, day, day, month, and year.

FIG. 9 is a diagram illustrating an example of a section for measuring biometric information according to an embodiment of the present invention.

Referring to FIG. 9, the electronic device 101 can measure biometric information while motion is not generated, and can temporarily stop the measurement of biometric information when motion occurs. The first section 910, the third section 930, the fifth section 950 and the seventh section 970 are sections for measuring biometric information and the second section 920, the fourth section 940, , And the sixth section 960 is a section in which the biometric information is not measured. The electronic device 101 can measure the biometric information while no motion is generated. The first section 910 measures biometric information during a first time t1 and the third section 930 measures a biometric information during a first time t3 and the fifth section 950 Is a measurement of the biometric information during the first time t5 and the seventh interval 970 is the measurement of the biometric information during the first time t7. Similarly, the second section 920 does not measure the biometric information during the first time t2, the fourth section 940 does not measure the biometric information during the first time t4, 6 section 960 does not measure biometric information during the first time t6.

When the total sum of the times of the periods (for example, the first, third, fifth, and seventh intervals) in which the biometric information is measured is equal to or longer than a predetermined time (e.g., 30 seconds), the electronic device 101 The biometric information measured in the third period 910, the third period 930, the fifth period 950 and the seventh interval 970 may be combined and the parameter displacement in the time domain may be analyzed using the combined biometric information . If the movement of the electronic device 101 continues to occur at a predetermined time (e.g., one minute) or more, in a state in which the total sum of the time periods of the measured biometric information is less than the predetermined time (e.g., 30 seconds) The electronic device 101 may not use the biometric information measured before the motion is generated for the combination of the biometric information.

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

Referring to FIG. 10, the process of comparing the current stress index with the current stress index according to an embodiment of the present invention will be described in detail.

When the biometric information is measured (1010), the electronic device 101 analyzes the parameter variation in the time domain using the measured biometric information (1012), and converts the analyzed parameter into a stress index (1014). The electronic device 101 can measure the biometric information at least once. The electronic device 101 can analyze the parameter variation in the time domain in real time using the biological information measured in real time and convert the analyzed parameter into the stress index in real time. The electronic device 101 can measure the biometric information at least once and analyze the parameters of the measured biometric information. The electronic device 101 can analyze the parameters in the time domain of the measured biometric information and analyze the displacement of the parameters using the beating interval of the biometric information. The parameter in the time domain of the heartbeat side can be the square root of the mean value of the squared difference of successive heartbeat period values and the measurement time can be in seconds. The electronic device 101 may then convert the analyzed parameters to a stress index. The electronic device 101 can take the natural logarithm in the inverse of the parameter and convert it into the stress index.

The electronic device 101 may compare the converted stress index and the pre-stored average stress index (1016). The electronic device 101 can compare the stress index with the average stress index of the user stored in the storage unit 130. [ The electronic device 101 may compare the current stress index of the user with the average stress index of the user stored in the storage unit 130 in response to the measurement of the biometric information. The storage unit 130 may store the converted stress index in real time corresponding to the biometric information measured by the user under the control of the electronic device 101. [ Under the control of the electronic device 101, the storage unit 130 calculates an average of the converted stress index in units of at least one of time, day, day, month, and year according to the biometric information measured by the user Can be stored. The storage unit 130 may calculate and store an average of at least one of the previously stored plurality of story indices by time, date, day of the week, month, and year under the control of the electronic device 101. [ In addition, the storage unit 130 may store an average stress index for each age group (e.g., 10, 20, 30,...) And periodically or aperiodically from the server 106 providing such an average stress index And receive and store.

The electronic device 101 may output the comparison result (1018). Then, the electronic device 101 may generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result. The electronic device 101 may generate a guide for lowering the stress index if the transformed stress index is higher than the pre-stored stress index. The electronic device 101 may generate a guide that indicates a low stress index and contains health information if the transformed stress index is lower than the pre-stored stress index. The guide may include at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index. Then, the electronic device 101 can output the 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 graphical user interface (GUI). The electronic device 101 may sense breathing or may receive information about the breathing volume and the breathing volume sensed through at least one sensor provided in the sensor module 1740 to determine that breathing has been sensed, Tidal volume can be analyzed. The electronic device 101 can generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result, and can output the generated guide. The electronic device 101 can compare the sensed breath with the guide in real time when the respiration is sensed by the user while the guide is being output.

FIG. 11A is a diagram illustrating a comparison between a user's current stress index and a previously stored average stress index according to an exemplary embodiment of the present invention, FIG. 11B is an exemplary view illustrating an average stress index according to an embodiment of the present invention, And FIG. 11C is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention. FIG. 11D is a graph illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention FIG. 11E is a graph comparing the current stress index and the mean stress index according to the embodiment of the present invention. FIG. 11F shows the current stress index and the mean stress index according to the embodiment of the present invention, And FIG. 11G is a graph showing the relationship between the current stress index and the mean stress index according to the embodiment of the present invention, This is an example of comparison with working hours.

Referring to FIG. 11A, FIG. 11A illustrates an example of a comparison between a current stress index of a user and a previously stored average stress index according to an embodiment of the present invention. When a stress index of a user is higher than a previously stored average stress index, (101) can output the comparison result through the display (150). If the user's stress index is lower than the pre-stored average stress index, the electronic device 101 may output the comparison results via 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. If the user's stress index is lower than the pre-stored average stress index, A first region 1110 indicating low index and displaying healthful information and an area 1120 indicating how high or low the user's stress index is compared to the pre-stored average stress index.

For example, if the user's stress index is higher than the pre-stored average stress index, the first region 1110 may display a warning message to the user that he / she should pay attention to health because the stress index is higher than the average stress index And display various information such as food, exercise method, weight control and breathing method for lowering the stress index. In addition, since the first region 1110 has a higher stress index than the same age range, the first region 1110 can display an animation to warn of health. The second region 1120 may display a graph 1123 corresponding to a user's current stress index and a graph 1121 corresponding to a previously stored average stress index. In addition, the second area 1120 can display the expressions of the emoticons 1122 and 1124 differently according to the difference of the stress index of the user and the pre-stored average stress index. Through the expression of the emoticons, We can recognize the seriousness of the need to reduce.

Referring to FIG. 11B, FIG. 8B is a graph illustrating an average stress index according to a user's time according to an embodiment of the present invention. The electronic device 101 calculates an average on a display 1130 by a time period 1131 A stress index can be displayed. For example, if today is August 2, 2014, the electronic device 101 calculates the average of the stress index by time of day on August 2 and displays the calculated average on a display 1130 in time units . For example, the electronic device 101 may display an average of a plurality of stress indices measured by a user in the 2-hour time zone (from 14:00 to 15:00 in the afternoon) as a point 1134, , The user can know that the stress index is high at any time. If the current time is 15:12 minutes, the point 1133 indicating the current stress index can be changed in real time according to the real time change of the stress index. Then, when the time passes, at 16:00, an average of the stress index measured for one hour from 15:00 can be calculated and displayed on the display 1130 like the point 1134. Point 1132 indicates how much the current stress index is in the maximum and minimum values of the same time.

11C is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention. The electronic device 101 displays a daily average 1141 on the display 1140, Can be expressed as a stress index. For example, if this month is August 2014, the electronic device 101 may calculate the average of the August stress index for each month and display the calculated average on a display 1140 by day. For example, the electronic device 101 can display the maximum value and the minimum value of the stripe index measured by day as a point, and according to the high and low of the point, the user can know that the stress index is high and low for several days . For example, in expressing the stress index of August 1, by displaying the point 1143 representing the maximum stress index and the point 1144 representing the minimum stress index, the user can know the amount of stress change on August 1 And can be compared with the stress index of other days. When the current date is Aug. 2, the point indicating the current stress index can be changed in real time according to the real time change of the stress index. Then, the average stress index of August 2 can be indicated by a point (1145). When today is August 2, the electronic device 101 displays the maximum stress index and the minimum stress index measured for today (August 2) as a point, calculates the average of the stress index measured during the present day Point 1146 may be displayed on display 1130. Point 1142 indicates the average stress index of the current day. In addition, the point 1146 can be changed in real time in accordance with the real-time change of the stress index.

11D is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention on a monthly basis. The electronic device 101 displays a monthly average 1151 on the display 1150, Can be expressed as a stress index. For example, if the year is 2014, the electronic device 101 may calculate the average of the monthly stress index for 2014 and display the calculated average on a monthly display 1150. For example, the electronic device 101 can display the maximum and minimum values of the stripe index measured by month in points, and according to the high and low of the points, the user can know that the stress index is high and low for several months . For example, in expressing the stress index in August, by displaying a point 1153 representing the maximum stress index and a point 1154 representing the minimum stress index, the user can know the amount of stress change in August, It can be compared with the monthly stress index. If the current month is August, the point representing the current stress index can be changed in real time according to the change of the stress index in real time. Then, the average stress index of August can be expressed by a point (1155). If the current month is August, the electronic device 101 displays the maximum stress index and the minimum stress index measured at the point (1153, 1154) during the month (August) and calculates the average of the stress index measured during the current month And display point 855 on display 1150. Point 1152 represents the average stress index of the current month. Also, the point 1155 can 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 according to an embodiment of the present invention. The electronic device 101 calculates a mean 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 by time according to the day of the week and the day of the week, and may display the calculated average on the display 1160 for each day of the week and for each day of the week.

The electronic device 101 can display the maximum and minimum values of the stripe index measured by the day of the week as a point. Depending on the high and low points of the point, the user can know that a certain day of the week has a high and low stress index. For example, to indicate the stress index on Friday, by marking a point 1161 representing the maximum stress index and a point 1162 representing 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. Then, an average stress index at 4 pm on Friday can be displayed as a point (1163).

11F is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention on weekdays and weekends. The electronic device 101 includes a display 1170 on weekdays and on weekends The average stress index can be displayed. Normally, weekdays mean Monday through Friday, and weekends mean Saturday and Sunday. The electronic device 101 may calculate the average of the stress indexes on weekdays and weekends and display the calculated average on the display 1170 on weekdays and weekends. The electronic device 101 may calculate the average of the stress indexes by time in the week and on weekends and the time in the weekdays and weekends, and display the calculated average on the display 1170 by weekdays, weekends, and times.

The electronic device 101 can display the maximum and minimum values of the stripe indices measured on weekdays and weekends as points. Depending on the high and low of the points, the user can select whether the stress index is high or low, Able to know. For example, in marking the stress index at 4:00 pm on weekdays, by displaying a point 1171 indicating the maximum stress index and a 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. Then, the average stress index at 4:00 pm during the week can be displayed as a point 1173.

Referring to FIG. 11G, FIG. 11G is a diagram illustrating a comparison between a current stress index and an average stress index according to an embodiment of the present invention in terms of working time and nonworking time. The electronic apparatus 101 includes a display 1180, You can display a stress index that calculates the average over time and nonwork time. Typically, the working hours are 9:00 am to 6:00 pm, and non-working hours are times excluding the above working hours. The electronic device 101 may calculate an average of the stress index with working hours and nonworking hours and display the calculated average on the display 1180 with working hours and nonworking hours. The electronic device 101 calculates an average of the stress index by time according to the working time, the non-working time, the time according to the working time and the non-working time, and displays the calculated average by the working time and the non- Can be displayed. The working hours and the nonworking hours can be variably controlled.

The electronic device 101 can display the maximum and minimum values of the string index measured by the working time and the nonworking time in terms of points. Depending on the high and low of the points, The index was high and low. For example, in indicating the stress index of the working hours, by indicating a point 1181 representing the maximum stress index at 4:00 pm of working hours and a point 1182 representing the minimum stress index, And can be compared with the stress index of other days. Then, the average stress index at 4:00 pm in the working hours can be indicated by a point (1183).

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

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

If the measured user's stress index is higher than the same age stress index 1210, the electronic device 101 may generate a breathing guide 1212 to lower the stress index. The electronic device 101 can measure the biometric information at least once, analyze the parameter variation in the time domain using the measured biometric information, and convert the analyzed parameter into the stress index. The electronic device 101 can compare the converted stress index with the average stress index of the same stored age group. The electronic device 101 can receive the age of the user and compare the converted stress index with the age of the inputted user or an average stress index of the same age range. The process of measuring the biometric information, converting the measured biometric information into the stress index, and comparing the converted stress index with the average stress index of the same age range is as described above. Then, the electronic device 101 may generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result. The electronic device 101 may generate a guide for lowering the stress index if the transformed stress index is higher than the stress index of the same age range. The electronic device 101 may generate a guide that indicates a low stress index and contains health information if the transformed stress index is lower than the stress index of the same age range. The guide may include at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index. Then, the electronic device 101 can output the generated guide.

If breathing is detected 1214, the electronic device 101 may compare the sensed breath with the generated respiratory guide 1216 and output 1216 the result of the comparison. The electronic device 101 can sense respiration or can receive information on the presence or absence of respiration and the amount of respiration sensed through at least one sensor provided in the sensor module 1240 to determine that respiration has been detected, Can be analyzed. The electronic device 101 can generate a guide indicating a breathing method for lowering the stress corresponding to the comparison result, and can output the generated guide. The electronic device 101 can compare the sensed breath with the guide in real time when the respiration is sensed by the user while the guide is being output. Then, the electronic device 101 can output a stress index that changes in accordance with the generated guide and the real-time breathing. The electronic device 101 may output the comparison result and / or the generated guide through at least one of voice, vibration, and graphical user interface (GUI).

FIG. 13 is an exemplary diagram showing respiration in real time to reduce the stress index in a state where the guide according to an embodiment of the present invention is outputted. FIG.

13, when the user's stress index is higher than the average stress index of the same age range, the electronic device 101 displays various information for lowering the stress index and the stress index changed by respiration, Can be output. The electronic device 101 includes a first region 1330 for displaying useful information for lowering the stress index and a second region 1330 for outputting a breathing amount of a user breathing in order to reach an average stress index of the same age 2 < / RTI > area 1340, as shown in FIG. If the user's stress index is higher than the stress index of the same age range, the display 1350 may display information for lowering the stress index under the control of the electronic device 101. [ For example, if the user's stress index is higher than the stress index of the same age range, the display 1350 may output information to the first region 1330 to breathe deeper to lower the stress index, The second region 1340 can output the stress index that varies depending on the degree of inspiration and expiration in real time according to breathing. The first area 1330 may display a caution message to note health and may display an animation. The second region 1340 includes a breathing guide curve 1310 for reaching the stress index of the same ages and a real time breathing function 1310 for expressing in real time the amount of breath that the user is currently breathing to reach the breathing guide curve A curve 1320 can be displayed. The second area 1340 can display a guide for resting as the character breathe, a balloon expanding / contracting, or a dolphin floating in the water and then floating. In addition, the electronic device 101 of the present invention can output a voice of a person holding a message to guide breathing and exhalation, or can output pressure according to a user's breathing and exhalation through a tactile sensor provided in the sensor module 1740 Of the skin. In the real-time breathing curve 1320, the previous curve of the current breathing 1321 may be indicated by a solid line. For example, the second region 1340 can be divided into a first region 1341, a second region 1342, and a third region 1343 according to respiration time. The first section 1341 represents a case where the amount of inspiration is smaller than the amount of inspiration presented by the respiration guide and the second section 1342 represents a case where the amount of expiration is smaller than the amount of expiration suggested by the respiration guide And the third section 1343 represents a case where the amount of inhalation is smaller than the amount of inhalation presented in the respiratory guide. The second area 1340 can express the difference 1322 between the amount of the inspiration presented in the respiration guide and the amount of the inspiration inspired by the current breath 1321 in the first section 1341. The information displayed in the first area may be changed according to the difference (1322) between the amount of inspiration presented in this respiration guide and the amount of inspiration breathing currently. For example, if the amount of inspiration presented in the respiration guide differs from the amount of inspiration presently present, the first area can display 'Drink more deeply'. And, if the amount of exhalation presented in the breathing guide differs from the amount of current exhalation, the first region may indicate 'Spit breathing deeper'.

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

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

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

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

When an input for stopping the measurement of the biometric information is generated, the electronic device 101 may display the stored stress index on the display 150 (1460). If an input for stopping the measurement of biometric information is sensed, the electronic device 101 may stop measuring the biometric information and display the stored stress index on the display 150 in step 1430. For example, when the user stops measuring the biometric information in order to know the change of the stress index through the biometric information measured by the user during a certain period of time such as watching a movie, watching a drama, or visiting a concert, The stress index stored in the process 1430 may be displayed on the display 150 in the form of a graph. An input for measuring the biometric information is generated by the user and the change of the stress during the time when the input for stopping the measurement of the biometric information is generated can be known. Through this, the user can know in which interval the stress index has increased or decreased during the predetermined time.

FIG. 15A is a diagram illustrating a stress index in real time corresponding to measurement of biometric information according to an embodiment of the present invention. FIG. 15B is a graph showing stresses corresponding to biometric information measured during a predetermined time according to an embodiment of the present invention Fig.

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

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

FIG. 16A is a graph showing an electrocardiogram (ECG) in biometric information according to an embodiment of the present invention, FIG. 16B is a graph showing ballistocardiogram (BCG) in biometric information according to an embodiment of the present invention FIG. 16C is a graph showing photoplethysmography (PPG) in the bio-information according to an embodiment of the present invention, FIG. 16D is a graph showing the impedance blood plethysmography in the bio-information according to an embodiment of the present invention, FIG. 16E is a graph showing an RR interval (RR interval) in an electrocardiogram (ECG) according to an embodiment of the present invention, FIG. 16F is a graph showing a ballistocardiogram (BCG) according to an embodiment of the present invention JJ interval (JJ interval).

The biometric information according to an embodiment of the present invention may include at least one of a heart beat, a pulse, an impedance plethysmography, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG) . The present invention may include various biometric information used for measuring the user's stress index in addition to the biometric information described above. Parameters analyzed through the biometric information are heart rate (HR), heart rate, standard deviation of the heart rate (SDNN), mean value of squares of the difference between consecutive heart rate values (RMSSD) and a ratio of successive heartbeat cycles in the entire heartbeat cycle exceeding 50 ms (percent of successive normal NN intervals difference greater than 50 msec: pNN50). can do. The heartbeat interval may include at least one of a heartbeat interval (RR interval), a pulse interval, and a JJ interval of the bioinformation. The heartbeat period represents two peak intervals of the electrocardiogram, the JJ period represents two peak intervals of the cardiac trajectory, and the pulse period may represent two peak intervals of the impedance blood volume and the optical blood flow.

17 shows a block diagram of an electronic device according to various embodiments of the present invention.

The electronic device may constitute all or part of the electronic device 101 shown in Fig. 1, for example. 17, the electronic device 1701 includes at least one application processor (AP) 1710, a communication unit 1720, a SIM (subscriber identification module) card 1724, a memory 1730, An input device 1750, a display 1760, an interface 1770, an audio portion 1780, a camera portion 1791, a power management portion 1795, a battery 1796, an indicator 1797, and a motor 1798).

The AP 1710 may control a plurality of hardware or software components connected to the AP 1710 by driving an operating system or an application program, and may perform various data processing and operations including multimedia data. The AP 1710 may be implemented as a system on chip (SoC), for example. According to one embodiment, the AP 1710 may further include a graphics processing unit (GPU) (not shown).

The communication unit 1720 (e.g., the communication interface 160) may communicate with the electronic device 1701 (e.g., the electronic device 101) and other electronic devices Server 106) can perform data transmission and reception. According to one embodiment, the communication unit 1720 includes a cellular module 1721, a Wifi module 1723, a BT module 1725, a GPS module 1727, an NFC module 1728, and a radio frequency (RF) module 1729 ).

The cellular module 1721 may provide voice calls, video calls, text services, or Internet services over a communication network (e.g., LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro or GSM). The cellular module 1721 may also perform identification and authentication of electronic devices within the communication network using, for example, a subscriber identity module (e.g., SIM card 1724). According to one embodiment, the cellular module 1721 may perform at least some of the functions that the AP 1710 can provide. For example, the cellular module 1721 may perform at least some of the multimedia control functions.

According to one embodiment, the cellular module 1721 may include a communication processor (CP). In addition, the cellular module 1721 may be implemented as an SoC, for example. 17, components such as the cellular module 1721 (e.g., a communication processor), the memory 1730 or the power management unit 1795 are shown as separate components from the AP 1710, According to an example, the AP 1710 may be implemented to include at least a portion of the above-described components (e.g., cellular module 1721).

According to one embodiment, the AP 1710 or the cellular module 1721 (e.g., a communications processor) may load or read commands or data received from at least one of non-volatile memory or other components connected thereto, load. In addition, the AP 1710 or the cellular module 1721 may store data generated by at least one of the other components or received from at least one of the other components in the non-volatile memory.

Each of the Wifi module 1723, the BT module 1725, the GPS module 1727 or the NFC module 1728 includes a processor for processing data transmitted and received through a corresponding module . Although the cellular module 1721, the Wifi module 1723, the BT module 1725, the GPS module 1727 or the NFC module 1728 are shown as separate blocks in FIG. 17, according to one embodiment, At least some (e.g., two or more) of the wireless module 1721, the Wifi module 1723, the BT module 1725, the GPS module 1727 or the NFC module 1728 may be included in one integrated chip (IC) have. At least some of the processors (e.g., cellular module 1721) corresponding to cellular module 1721, Wifi module 1723, BT module 1725, GPS module 1727, or NFC module 1728, And a Wifi processor corresponding to the Wifi module 1723) may be implemented in one SoC.

The RF module 1729 can transmit and receive data, for example, transmit and receive RF signals. The RF module 1729 may include, for example, a transceiver, a power amplifier module (PAM), a frequency filter, or a low noise amplifier (LNA). In addition, the RF module 1729 may further include a component, for example, a conductor or a lead wire, for transmitting and receiving electromagnetic waves in free space in wireless communication. 17, the cellular module 1721, the Wifi module 1723, the BT module 1725, the GPS module 1727 and the NFC module 1728 are illustrated as sharing one RF module 1729, At least one of the cellular module 1721, the Wifi module 1723, the BT module 1725, the GPS module 1727 or the NFC module 1728 transmits and receives an RF signal through a separate RF module can do.

The SIM card 1724 may be a card including a subscriber identity module and may be inserted into a slot formed at a specific location of the electronic device. The SIM card 1724 may include unique identification information (e.g., ICCID) or subscriber information (e.g., international mobile subscriber identity (IMSI)).

The memory 1730 (e.g., the memory 130) may include an internal memory 1732 or an external memory 1734. The built-in memory 1732 may be a nonvolatile memory such as a dynamic RAM (DRAM), a static RAM (SRAM), a synchronous dynamic RAM (SDRAM), or the like, Such as 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, And may include at least one.

According to one embodiment, the internal memory 1732 may be a solid state drive (SSD). The external memory 1734 may be a flash drive such as a compact flash (CF), a secure digital (SD), a micro secure digital (SD), a mini secure digital (SD), an extreme digital A Memory Stick, and the like. The external memory 1734 may be functionally connected to the electronic device 1701 through various interfaces. According to one embodiment, the electronic device 1701 may further include a storage device (or storage medium) such as a hard drive.

The sensor module 1740 may measure a physical quantity or sense an operating state of the electronic device 1701, and convert the measured or sensed information into an electrical signal. The sensor unit 1740 may include a gesture sensor 1740A, a gyro sensor 1740B, an air pressure sensor 1740C, a magnetic sensor 1740D, an acceleration sensor 1740E, a grip sensor 1740F, A color sensor 1740G, a color sensor 1740H such as an RGB (red, green, blue) sensor, a biosensor 1740I, a temperature / humidity sensor 1740J, an illuminance sensor 1740K, ). ≪ / RTI > Additionally or alternatively, the sensor portion 1740 may include, for example, an E-nose sensor (not shown), an EMG sensor (not shown), an EEG sensor (not shown) (not shown), an IR (infra red) sensor (not shown), an iris sensor (not shown), or a fingerprint sensor (not shown). The sensor unit 1740 is a sensor capable of sensing or recognizing biometric information such as a finger print, a foot finger print, an iris, a face, a heart rate, an EEG, One sensor may be included. In addition, the sensor module 1740 may include various sensors capable of sensing a user's respiration in addition to the plurality of sensors described above. The sensor module 1740 may further include a control circuit for controlling at least one sensor included in the sensor module 1740.

The input device 1750 includes a touch panel 1752, a (digital) pen sensor 1754, a key 1756, or an ultrasonic input device 1758 . The touch panel 1752 can recognize a touch input by at least one of an electrostatic type, a pressure sensitive type, an infrared type, and an ultrasonic type, for example. In addition, the touch panel 1752 may further include a control circuit. In electrostatic mode, physical contact or proximity recognition is possible. The touch panel 1752 may further include a tactile layer. In this case, the touch panel 1752 may provide a tactile response to the user.

The (digital) pen sensor 1754 may be implemented, for example, using the same or similar method as receiving the touch input of the user or using a separate recognizing sheet. The key 1756 may include, for example, a physical button, an optical key or a keypad. The ultrasonic input device 1758 is an apparatus that can confirm data by sensing a sound wave from an electronic device 1701 to a microphone (e.g., a microphone 1788) through an input tool for generating an ultrasonic signal, Recognition is possible. According to one embodiment, the electronic device 1701 may use the communication unit 1720 to receive user input from an external device (e.g., a computer or a server) connected thereto.

The display 1760 (e.g., the display 150) may include a panel 1762, a hologram device 1764, or a projector 1766. The panel 1762 may be, for example, a liquid crystal display (LCD) or an active matrix organic light-emitting diode (AM-OLED). The panel 1762 can be embodied, for example, flexible, transparent or wearable. The panel 1762 may be formed of one module with the touch panel 1752. [ The hologram device 1764 can display a stereoscopic image in the air using interference of light. The projector 1766 can display an image by projecting light onto a screen. The screen may be located, for example, inside or outside the electronic device 1701. According to one embodiment, the display 1760 may further include control circuitry for controlling the panel 1762, the hologram device 1764, or the projector 1766.

The interface 1770 may include a high-definition multimedia interface (HDMI) 1772, a universal serial bus (USB) 1774, an optical interface 1776, or a D- ) 1778. < / RTI > The interface 1770 may, for example, be included in the communication interface 160 shown in FIG. Additionally or alternatively, the interface 1770 may include a mobile high-definition link (MHL) interface, a secure digital (SD) card / multi-media card (MMC) interface, or an infrared data association . ≪ / RTI >

The audio unit 1780 can convert sound and electric signals in both directions. At least some of the components of the audio portion 1780 may be included in, for example, the input / output interface 140 shown in FIG. The audio unit 1780 may process sound information input or output through, for example, a speaker 1782, a receiver 1784, an earphone 1786, a microphone 1788, or the like.

According to one embodiment, the camera 1791 is a device capable of capturing a still image and a moving image, and may include at least one image sensor (e.g., a front sensor or a rear sensor), a lens (not shown), an image signal processor Or a flash (not shown), such as a LED or xenon lamp.

The power management unit 1795 can manage the power of the electronic device 1701. Although not shown, the power management unit 1795 may include, for example, a power management integrated circuit (PMIC), a charger integrated circuit (PMIC), or a battery or fuel gauge.

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

The battery gauge can measure, for example, the remaining amount of the battery 1796, the voltage during charging, the current or the temperature. The battery 1796 may store or generate electricity, and may supply power to the electronic device 1701 using the stored or generated electricity. The battery 1796 may include, for example, a rechargeable battery or a solar battery.

The indicator 1797 may indicate a specific state of the electronic device 1701 or a portion thereof (e.g., the AP 1710), for example, a boot state, a message state, or a charged state. The motor 1798 can convert an electrical signal into a mechanical vibration. Although not shown, the electronic device 1701 may include a processing unit (e.g., GPU) for mobile TV support. The processing device for supporting the mobile TV can process media data conforming to standards such as digital multimedia broadcasting (DMB), digital video broadcasting (DVB), or media flow.

Each of the above-described components of the electronic device according to the present disclosure can be composed of one or more components, and the name of the component can be changed according to 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 further include other additional components. In addition, some of the components of the electronic device according to the present disclosure may be combined and configured as an entity, so that the functions of the corresponding components before being combined can be performed in the same manner.

18 illustrates a communication protocol 1800 between a plurality of electronic devices (e.g., first electronic device 1810 and second electronic device 1830) in accordance with various embodiments.

18, for example, the communication protocol 1800 includes a device discovery protocol 1851, a capability exchange protocol 1853, a network protocol 1855, And application protocol 1857, and the like.

According to one embodiment, the device discovery protocol 1851 may be used to detect an external electronic device capable of communicating with electronic devices (e.g., the first electronic device 1810 or the second electronic device 1830) And may be a protocol for connecting with an electronic device. For example, the first electronic device 1810 (e.g., electronic device 101) may use the device discovery protocol 1851 to communicate with the first electronic device 1810 using a communication method (e.g., Wifi, (E. G., Electronic device 104) via a network (e. G., BT or USB, etc.). The first electronic device 1810 obtains identification information for the sensed second electronic device 1830 using the device discovery protocol 1851 for communication connection with the second electronic device 1830 Can be stored. The first electronic device 1810 may establish a communication connection with the second electronic device 1830, for example, based at least on the identification information.

According to some embodiments, the device discovery protocol 1851 may be a protocol for mutual authentication between a plurality of electronic devices. For example, the first electronic device 1810 may include communication information (e.g., a media access control (MAC) address, a universally unique identifier (UUID), a subsystem identification (SSID) for connection with the at least one second electronic device 1830 ), An IP (internet protocol) address, and so on) to perform authentication between the first electronic device 1810 and the second electronic device 1830.

According to one embodiment, the function exchange protocol 1853 may be a protocol for exchanging information relating to the function of a service that can be supported by at least one of the first electronic device 1810 or the second electronic device 1830. For example, the first electronic device 1810 and the second electronic device 1830 can exchange information, via the function exchange protocol 1853, related to the function of the service they are currently providing. The exchangeable information may include identification information indicating a specific service from a plurality of services that can be supported by the first electronic device 1810 and the second electronic device 1830. [ For example, the first electronic device 1810 may receive identification information of the particular service provided by the second electronic device 1830 from the second electronic device 1830 via the function exchange protocol 1853 . In this case, the first electronic device 1810 may determine, based on the received identification information, whether the first electronic device 1810 can support the particular service.

According to one embodiment, the network protocol 1855 may be used to provide, for example, interworking services between connected electronic devices (e.g., first electronic device 1810, second electronic device 1830) And may be a protocol for controlling data flow. For example, at least one of the first electronic device 1810 or the second electronic device 1830 may utilize the network protocol 1855 to perform error control, data quality control, and the like. Additionally or alternatively, the network protocol 1855 may determine the transmission format of data transmitted between the first electronic device 1810 and the second electronic device 1830. In addition, at least one of the first electronic device 1810 or the second electronic device 1830 may manage at least the session for exchanging data with each other using the network protocol 1855, Termination).

According to one embodiment, the application protocol 757 may be a protocol for providing procedures or information for exchanging data associated with services provided to external electronic devices. For example, a first electronic device 1810 (e.g., electronic device 101) may communicate with a second electronic device 1830 (e.g., electronic device 104 or server 106) via the application protocol 1857. [ As shown in FIG.

According to one embodiment, the communication protocol 1800 can include a standard communication protocol, a communication protocol specified by an individual or a group (e.g., a communication protocol specified by the communication device manufacturer or a network vendor itself), or a combination thereof have.

The term "module" as used in the present invention may mean a unit including, for example, one or a combination of hardware, software, or firmware. A "module" may be interchangeably used with terms such as, for example, unit, logic, logical block, component or circuit. A "module" may be a minimum unit or a portion of an integrally constructed component. A "module" may be a minimum unit or a portion thereof that performs one or more functions. "Modules" may be implemented either mechanically or electronically. For example, a "module" in accordance with the present disclosure may be implemented as an application-specific integrated circuit (ASIC) chip, field-programmable gate arrays (FPGAs) or programmable logic arrays (FPGAs) logic device).

According to various embodiments, at least some of the devices (e.g., modules or functions thereof) or methods (e.g., operations) according to the present disclosure may be stored in a computer readable storage medium -readable storage media). The instructions, when executed by one or more processors (e.g., the processor 210), may cause the one or more processors to perform functions corresponding to the instructions. The computer readable storage medium may be, for example, the memory 220. At least some of the programming modules may be implemented (e.g., executed) by the processor 210, for example. At least some of the programming modules may include, for example, modules, programs, routines, sets of instructions or processes, etc. to perform 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, an optical recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD (Digital Versatile Disc) A magneto-optical medium such as a floppy disk, and a program command such as a read only memory (ROM), a random access memory (RAM), a flash memory, Module) that is configured to store and perform the functions described herein. The program instructions may also include machine language code such as those generated by a compiler, as well as high-level language code that may 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 this disclosure, and vice versa.

A module or programming module according to the present disclosure may include at least one or more of the elements described above, some of which may be omitted, or may further include other additional elements. Operations performed by modules, programming modules, or other components in accordance with the present disclosure may be performed in a sequential, parallel, iterative, or heuristic manner. Also, some operations may be performed in a different order, omitted, or other operations may be added. According to various embodiments, there is provided a storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to be configured to perform at least one operation, A second instruction set that measures biometric information at least once if the detected motion is less than or equal to a predetermined threshold value; a third instruction set that analyzes parameters of the measured biometric information; And a fourth instruction set that transforms the analyzed parameters into a stress index.

And the embodiments of the present disclosure disclosed in this specification and drawings are merely illustrative of specific examples for the purpose of facilitating the understanding of the disclosure of the present disclosure and are not intended to limit the scope of the present disclosure. Accordingly, the scope of the present disclosure should be construed as being included within the scope of the present disclosure in addition to the embodiments disclosed herein, all changes or modifications derived from the technical idea of the present disclosure.

101: electronic device 110: bus
120: processor 130:
140: input / output interface 150: display
160: Communication interface 170: Biometric information control unit

Claims (40)

A method of measuring biometric information of an electronic device,
Detecting movement of the electronic device,
When the detected motion is less than or equal to a predetermined threshold value, performing an operation of measuring biometric information at least once,
Analyzing the measured parameters of the biometric information;
And converting the analyzed parameter into a stress index.
The method according to claim 1,
Comparing the converted stress index with a stress index of the same age range as a user who measured the biometric information, and outputting a comparison result.
The method according to claim 1,
An operation of summing biometric information corresponding to a difference between the time periods for measuring the biometric information less than a predetermined time;
And analyzing the parameter of the summed biometric information.
The method according to claim 1,
The operation of analyzing the parameter includes:
And analyzing parameters in the time domain of the measured biometric information.
5. The method of claim 4,
The operation of analyzing the parameter includes:
And the displacement of the parameter is analyzed using the beat interval of the biometric information.
6. The method of claim 5,
Wherein the biometric information includes at least one of a heart beat, a pulse, a light flow, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG) .
6. The method of claim 5,
Wherein the heartbeat interval is at least one of a heartbeat interval (RR interval), a pulse interval, and a JJ interval of the bio-information.
The method according to claim 1,
And storing the transformed stress index.
9. The method of claim 8,
The act of storing the transformed stress index,
And calculating and storing an average of the stress index in at least one unit of time, day, day, month, and year.
10. The method of claim 9,
Comparing the converted mean stress with the calculated mean, and outputting the biometric information.
3. The method of claim 2,
And receiving the age of the user for comparison with the stress index of the same age range.
The method according to claim 1,
Wherein the electronic device is a wearable electronic device for measuring biometric information of the user, the biometric information being mounted on a part of the body.
3. The method of claim 2,
Wherein the comparison result is output through at least one of voice, vibration, and a graphical user interface.
The method according to claim 1,
Wherein the step of converting the parameter to the stress index comprises:
Wherein a natural logarithm is taken as a reciprocal of the parameter.
5. The method of claim 4,
The parameters include the heart rate (HR), the heart rate, the standard deviation of the heart rate (SDNN), the square root of the mean value of the number of squared differences of the consecutive heart rate values (RMSSD) And a ratio (pNN50) exceeding 50 ms.
3. The method of claim 2,
The operation of outputting the comparison result includes:
And generating and outputting a guide for lowering the stress index when the converted stress index is higher than the stress index of the same age range.
17. The method of claim 16,
Wherein the generated guide includes at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index.
17. The method of claim 16,
An operation of sensing respiration in a state in which the guide is outputted,
Comparing the detected respiration with the guide in real time, and outputting the compared result.
The method according to claim 1,
And displaying the converted stress index in real time.
11. The method of claim 10,
And generating and outputting a guide for lowering the stress index when the converted stress index is higher than the pre-stored average stress index.
An electronic device for measuring biometric information,
A first sensor unit for sensing movement of the electronic device,
A second sensor unit for measuring biometric information at least once if the sensed motion is less than or equal to a predetermined threshold value,
And a controller for analyzing the parameters of the measured biometric information and converting the parameters into a stress index.
22. The method of claim 21,
Further comprising a display indicative of the stress index,
Wherein the controller compares the converted stress index with a stress index of the same age range as the user who measured the biometric information, and outputs the comparison result through the display.
22. The method of claim 21,
Wherein the control unit sums the biometric information corresponding to the difference between the time periods for measuring the biometric information within a predetermined time and analyzes the parameters of the summed biometric information.
22. The method of claim 21,
Wherein the controller analyzes the displacement of the parameter in the time domain using the measured beating interval of the biometric information.
22. The method of claim 21,
Wherein the biometric information includes at least one of a heart beat, a pulse, a light flow, a ballistocardiogram (BCG), an electrocardiogram (ECG), a photoplethysmography (PPG) .
25. The method of claim 24,
Wherein the heartbeat interval is at least one of a heartbeat interval (RR interval), a pulse interval and a JJ period of the bio-information.
22. The method of claim 21,
And a storage unit for storing the converted stress index.
28. The method of claim 27,
Wherein the controller calculates an average of the stress index by at least one unit of time, day, day, month, and year, and stores the average in the storage unit.
29. The method of claim 28,
Wherein the controller compares the converted stress index with the calculated average and outputs the result.
22. The method of claim 21,
Wherein the control unit takes a natural log in an inverse number of the parameter and converts the analyzed parameter into the stress index.
24. The method of claim 23,
The parameters include the heart rate HR, the RR interval, the standard deviation of the heartbeat (SDNN), the square root of the mean value of the number of squared differences of the consecutive heartbeat values (RMSSD) And a ratio (pNN50) in which the difference in the period exceeds 50 ms.
23. The method of claim 22,
Wherein the controller generates a guide for lowering the stress index when the transformed stress index is higher than the stress index of the same age range, and outputs the generated guide through the input / output interface.
33. The method of claim 32,
Wherein the generated guide comprises at least one of information for lowering the stress index, a warning indicating that the stress index is high, and a breathing method for lowering the stress index.
33. The method of claim 32,
Wherein the second sensor unit includes a sensor for sensing respiration of the user,
Wherein the controller compares the sensed breath with the guide in real time and outputs the comparison result.
22. The method of claim 21,
Wherein the controller compares a current stress index with a previously stored average stress index corresponding to the measurement of the biometric information,
Wherein the pre-stored average stress index is calculated by averaging the stress index of the user in units of at least one of time, day, day, month, and year.
36. The method of claim 35,
Wherein the controller generates a guide for lowering the stress index when the current stress index is higher than the pre-stored average stress index, and outputs the generated guide through the input / output interface.
37. The method of claim 36,
Wherein the generated guide comprises at least one of information for lowering the stress index and warning that the stress index is high.
35. The method of claim 34,
Wherein the output of the comparison includes an average stress index of at least one of the time, day, day, month, and year, and a result of comparing the current stress index.
39. The method of claim 38,
Wherein the output result of the comparison includes at least one of a maximum stress index and a minimum stress index of at least one of time, day, day, month, and year, and the current stress index.
A computer readable storage medium storing a program including instructions for measuring biometric information of an electronic device,
A first instruction set for sensing movement of the electronic device,
A second instruction set for measuring biometric information at least once if the sensed motion is less than or equal to a predetermined threshold;
A third instruction set for analyzing the measured parameters of the biometric information,
And a fourth instruction set for transforming the analyzed parameter into a stress index.

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