Patent Publication Number: US-2023144358-A1

Title: Wearable device and method for measuring human body impedance

Description:
CROSS-REFERENCE TO RELATED APPLICATION(S) 
     This application is a continuation of International Application No. PCT/KR2021/009122, which was filed on Jul. 15, 2021, and claims priority to Korean Patent Application Nos. 10-2020-0088362 and 10-2021-0091081, filed on Jul. 16, 2020 and Jul. 12, 2021, respectively, in the Korean Intellectual Property Office, the disclosure of which are incorporated by reference herein their entirety. 
    
    
     BACKGROUND 
     Technical Field 
     Various embodiments of the disclosure relate to a wearable device and a method for measuring biometric information, and to an electronic device and a method for detecting when the two hands of a user come into contact with each other when measuring biometric information. 
     Description of Related Art 
     The disclosure relates to a body component measurement device using bioelectrical impedance and, specifically, to a method and a device for detecting when the two hands of a user come into contact with each other. 
     The four principal components that make up a biological body include water, protein, body fat, and minerals. The ratios between these components in the body, in particular in human bodies, vary by gender and individual, but is approximately 55:20:20:5. These four components may be identified based on the total amount of water in the body. The protein and the total body water are main components for forming muscle and have a mutually proportional relationship, and thus the amount of protein and inorganic mass may be determined based on the amount of the total body water and the amount of body fat may be determined by subtracting the amount of the total body water, protein, and inorganic mass from the body weight. The most frequently used methods for measuring body fat may be bioelectrical impedance analysis (BIA) and underwater body density analysis. Other methods include computed tomography, subcutaneous fat thickness measurement, etc. 
     The bioelectrical impedance analysis is a method of measuring body fat based on the fact that the amount of the total body water and the body&#39;s electrical resistance are in inverse proportion. 
     The bioelectrical impedance analysis has advantages in that the measurement is simple, fast, and non-invasive. When a weak alternating current electrical signal is applied to a human body, the electricity flows along the total body water having high conductivity. The width of the path through which the electricity flows is determined according to the amount of moisture, and a measurement value according thereto is the bio-impedance. A method of calculating a body component from the bio-impedance includes applying a fine alternating current through the human body in the frequency band of 50 kHz. When the current flows, human body resistance is measured and used to calculate the total body water amount. The protein amount and the inorganic material amount are calculated from the total body water amount and body fat is calculated by using the protein amount, the inorganic material amount, and the body weight. 
     SUMMARY 
     A conventional wearable device for measuring a body component may require an electrode to be contact with one wrist of one arm and another electrode to be contact with the other arm or a finger so as to accurately measure human body impedance. When the measurement is taken, the arms of the user should not be in contact with each other. However, accurate measurement of human body impedance may be difficult when both arms are in contact with each other due to user&#39;s negligence. 
     In addition, because the wearable device is used in everyday life rather in in restricted settings such as in hospitals, it may be difficult to demand the user perform specific postures. 
     An electronic device according to an embodiment may include a housing and a biometric sensor, wherein the biometric sensor is configured to sense whether a first part of a human body is in contact with a first electrode and a second electrode, detect whether a second part of the human body is in contact with a third electrode and a fourth electrode, acquire impedance phase information of the human body by using the first, second, third and fourth electrodes, determine whether the acquired impedance phase information is within a designated range, and provide a guide for a measurement method in case that the acquired phase information of the impedance deviates from the designated range. 
     An operation method of an electronic device according to an embodiment may include an operation of sensing, through a biometric sensor, whether a first part of a human body is in contact with a first electrode and a second electrode, an operation of detecting, through the biometric sensor, whether a second part of the human body is in contact with a third electrode and a fourth electrode, an operation of acquiring impedance phase information of the human body by using the first, second, third, and fourth electrodes, an operation of determining whether the acquired impedance phase information is within a designated range, and an operation of providing a guide for a measurement method in case that the acquired impedance phase information deviates from the designated range. 
     An electronic device according to an embodiment may include a housing including a first surface configured to come into contact with a first portion of a human body of a user when worn, a second surface configured to not come into contact with the first portion of the human body in case that the first surface comes into contact with the first portion, and a lateral surface configured to surround at least a portion of a space between the first surface and the second surface, a memory, a biometric circuit including a first electrode and a second electrode exposed through the first surface and a third electrode and a fourth electrode exposed through at least one of the second surface and the lateral surface, and at least one processor electrically connected to the biometric circuit and the memory, wherein the at least one processor is configured to measure a parasitic impedance value through the biometric sensor, store the measured parasitic impedance value in the memory, detect, through the biometric circuit, that the first portion of the human body comes into contact with the first electrode and the second electrode, detect, through the biometric circuit, that a second portion of the human body comes into contact with the third electrode and the fourth electrode, apply a current to the human body through the second electrode and the third electrode via the biometric circuit, measure, through the biometric circuit, a voltage across both ends of the first electrode and the fourth electrode in response to the application of the current, acquire impedance phase information of the human body based on the applied current, the measured voltage, and the parasitic impedance value, and provide notification related to biometric data measurement in case that the acquired impedance phase information deviated from a predetermined range. 
     Additional aspects will be set forth in part in the description which follows and, in part, will be apparent from the description, or may be learned by practice of the presented embodiments. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The above and other aspects, features, and advantages of certain embodiments of the present disclosure will be more apparent from the following description taken in conjunction with the accompanying drawings, in which: 
         FIG.  1    is a view illustrating mounting of a wearable device on a portion of a human body according to an embodiment. 
         FIG.  2 A  is a perspective view illustrating a wearable device according to an embodiment. 
         FIG.  2 B  is a perspective view illustrating a wearable device according to an embodiment. 
         FIG.  2 C  is an exploded view illustrating a lower surface of a wearable device according to an embodiment. 
         FIG.  3    is a block diagram illustrating a wearable device according to an embodiment. 
         FIG.  4    is a view illustrating a location of an electrode in a wearable device according to an embodiment. 
         FIG.  5    is a view illustrating locations of an electrode and a user body coming into contact with the electrode in a wearable device according to an embodiment. 
         FIG.  6 A  is a view illustrating a human body closed loop formed in case that a user body comes into contact with an electrode connected to a biometric sensor in a wearable device according to an embodiment. 
         FIG.  6 B  is a view illustrating, on a human body, a human body closed loop formed in case that a user body comes into contact with an electrode connected to a biometric sensor in a wearable device according to an embodiment. 
         FIG.  6 C  is a view illustrating acquisition of biometric data considering of a parasitic component existing in a biometric contact circuit in a wearable device according to an embodiment. 
         FIG.  7    is a flowchart illustrating provision of a notification related to biometric data measurement to a user according to acquired biometric data in a wearable device according to an embodiment. 
         FIG.  8    is a flowchart for selecting a control method of a processor according to whether acquired biometric data is within a predetermined range in a wearable device according to an embodiment. 
         FIG.  9 A  to  FIG.  9 E  are views illustrating UIs displayed on a display in a wearable device according to various embodiments. 
         FIG.  10    illustrates a graph indicating a method for determining whether acquired biometric data is within a predetermined range in a wearable device according to an embodiment. 
         FIG.  11 A  is a view illustrating a human body closed loop formed in case that an acquired phase information falls within a predetermined range in a wearable device according to an embodiment. 
         FIG.  11 B  is a view illustrating a human body closed loop formed in case that both hands of a user are into contact in a wearable device according to an embodiment. 
         FIG.  11 C  is a view illustrating a human body closed loop formed in case that an error occurs in an electrode in a wearable device according to an embodiment. 
         FIG.  12    is a block diagram illustrating an electronic device in a network environment according to an embodiment. 
     
    
    
     DETAILED DESCRIPTION 
     One or more embodiments of the instant disclosure relate to a method for detecting when the two arms of the user are in contact to each other so as to inform the user that measurement is not performed properly and to guide the user to perform remeasurement. 
     The electronic device and the method according to one or more embodiments of the instant disclosure may provide users with biometric information more accurately and quickly by promptly detecting the situation where body component measurement is not performed properly and guiding the user to measure correctly. 
       FIG.  1    is a view illustrating mounting of a wearable device on a portion of a human body according to an embodiment. 
     The wearable device  100  in  FIG.  1    according to an embodiment may be a smart watch as shown in the drawing. However, without limitation thereto, the wearable device  100  may include various types of wearable devices attachable to the body of a user  101  to be used. 
     According to an embodiment, the wearable device  100  may include a strap to be attached to the body of the user  101  in which the strap is wound around a wrist of the user  101 . However, without limitation thereto, the wearable device  100  may having various other shapes, sizes, etc. so as to be attached to various other body parts of the user  101 . For example, the wearable device  100  may be attached to portions of the hand such as the back of the hand, a finger, a fingernail, a fingertip, and the like, as well. 
       FIG.  2 A  is a perspective view illustrating a wearable device according to an embodiment. 
     Referring to  FIG.  2 A , the wearable device  100  may include a housing  110 , an electrode  201 ,  202 ,  203 , or  204 , a display  120 , and a strap  130 . According to an embodiment, the wearable device  100  may omit at least one component or additionally include other components. 
     According to an embodiment, the housing  110  may include a first surface facing a first direction, a second surface facing a second direction opposite to the first direction, and a lateral surface configured to surround at least a portion of the space between the first surface and the second surface. According to an embodiment, two or more of the first surface, the second surface, and the lateral surface of the housing  110  may be integrated together. According to an embodiment, the housing  110  may be configured by various combinations. For example, the housing  110  may be configured by a combination of a lateral bezel structure  111  and a rear plate  193  in  FIG.  2 B . According to an embodiment, the first surface of the housing  110  may be a surface that includes at least one of the first electrode  201  and the second electrode  202 , and the second surface and/or the lateral surface of the housing  110  may be a surface the includes at least one of the third electrode  203  and the fourth electrode  204 . 
     According to an embodiment, the electrode  201 ,  202 ,  203 , or  204  may be exposed to the outside or exterior of the wearable device through at least a portion of the housing  110 . For example, at least one of the first electrode  201  and the second electrode  202  may be exposed to the outside through at least a portion of the first surface of the housing. Furthermore, at least one of the third electrode  203  and the fourth electrode  204  may be exposed to the outside through at least a portion of the second surface and/or the lateral surface of the housing. The electrode  201 ,  202 ,  203 , or  204  may be made of a conductive material through which electrical current may flow. The shape and size of the electrode may vary. In various different embodiments, at least one electrode included in the wearable device  100  may be disposed on the first surface and the second surface of the wearable device  100 , or on a portion of the housing  110  other than the first surface and the second surface. 
     According to an embodiment, the display  120  may visually provide biometric data of the user to the user of the wearable device  100 . According to an embodiment, the display  120  may convert an output screen through an input of the user with respect to a portion (e.g., bezel) of the housing  110 . For example, the display  120  may convert a watch screen into a biometric data screen (e.g., displaying body components and heart rate) in response to a user input. 
     According to an embodiment, the strap  130  may be connected to at least a portion of the housing  110  and detachably couple the wearable device  100  to a portion (e.g., a wrist, an ankle, and the like) of the user body. According to an embodiment, the user of the wearable device  100  may adjust the strap  130  to increase a degree of adhesion. 
       FIG.  2 B  is a perspective view illustrating a wearable device according to an embodiment. 
     Referring to  FIG.  2 B , the electronic device  100  may include a lateral bezel structure  111 , a wheel key  121 , a front plate  101 , a display  120 , an antenna  150 , a support member  160  (e.g., a bracket), a battery  170 , a printed circuit board  180 , a sealing member  190 , a rear plate  193 , a biometric sensor  140 , a wireless charging coil  142 , an electrode  146 , and a strap  130 . The support member  160  may be disposed in the electronic device  100  to be connected to the lateral bezel structure  111  or integrated with the lateral bezel structure  111 . The support member  160  may be made of, for example, metal material and/or non-metal (e.g., polymer) material. The support member  160  may have the display  120  coupled to one surface thereof and the printed circuit board  180  coupled to the other surface thereof. A processor, a memory, and/or an interface may be mounted to the printed circuit board  180 . The processor may include, for example, one or more of a central processing unit, an application processor, a graphic processing unit (GPU), an application processor, a sensor processor, or a communication processor. The processor may include a microprocessor or any suitable type of processing circuitry, such as one or more general-purpose processors (e.g., ARM-based processors), a Digital Signal Processor (DSP), a Programmable Logic Device (PLD), an Application-Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), a Graphical Processing Unit (GPU), a video card controller, etc. In addition, it would be recognized that when a general purpose computer accesses code for implementing the processing shown herein, the execution of the code transforms the general purpose computer into a special purpose computer for executing the processing shown herein. Certain of the functions and steps provided in the Figures may be implemented in hardware, software or a combination of both and may be performed in whole or in part within the programmed instructions of a computer. No claim element herein is to be construed under the provisions of U.S.C. 112(f), unless the element is expressly recited using the phrase “means for.” In addition, an artisan understands and appreciates that a “processor” or “microprocessor” may be hardware in the claimed disclosure. Under the broadest reasonable interpretation, the appended claims are statutory subject matter in compliance with 35 U.S.C. § 101. 
     The memory may include, for example, a volatile memory or a non-volatile memory. The interface may include, for example, a high-definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, and/or an audio interface. The interface, for example, may electrically or physically connect the electronic device  100  to an external electronic device, and may include a USB connector, an SD card/MMC connector, or an audio connector. 
     The battery  170  is a device for supplying power to at least one component of the electronic device  100 , and may include, for example, a non-rechargeable primary battery, or a rechargeable secondary battery, or a fuel cell. At least a part of the battery  170  may be disposed on the substantially same plane as the printed circuit board  180 . The battery  170  may be disposed and integrally formed in the electronic device  100  or may be disposed to be attachable to/detachable from the electronic device  100 . 
     The antenna  150  may be disposed between the display  120  and the support member  160 . The antenna  150  may include, for example, a near field communication (NFC) antenna, a wireless charging antenna, and/or a magnetic secure transmission (MST) antenna. The antenna  150 , for example, may perform a near field communication with an external electronic device, wirelessly transmit and receive power required for charging, or transmit a magnetism-based signal including a near field communication signal or payment data. In another embodiment, an antenna structure may be formed of a part or a combination of the lateral bezel structure  111  and/or the support member  160 . 
     The sealing member  190  may be disposed between the lateral bezel structure  111  and the rear plate  193 . The sealing member  190  may be configured to block moisture and foreign substances from being introduced from the outside to the internal space of the wearable device, i.e., the space surrounded by the lateral bezel structure  111  and the rear plate  193 . 
     The biometric sensor  140  and the wireless charging coil  142  may be located between the rear plate  193  and the electrode  146 . In another embodiment, the biometric sensor  140  and the wireless charging coil  142  may also be located between the sealing member  190  and the electrode  146 . 
     The electrode  146  may be exposed to the outside through the first surface of the housing  110 . According to an embodiment, the electrode  146  may include two or more electrodes electrically separated from each other. 
       FIG.  2 C  is an exploded view illustrating a lower surface of a wearable device according to an embodiment. 
     Referring to  FIG.  2 C , a rear plate  193 , an electrode  146 , a biometric sensor  140 , and a wireless charging coil  142  may be located on the lower surface of an electronic device (e.g., the electronic device  100  in  FIG.  2 B ). 
     According to an embodiment, the electrode  146  may be electrically connected to the biometric sensor  140  included in the electronic device  100  and used for acquiring body information or health information. For example, the electrode  146  may be electrically connected to a bioelectric impedance analysis (BIA) sensor included in the electronic device  100  and used for measuring body fat ratio. Furthermore, the electrode may be electrically connected to an electrocardiogram (ECG) sensor included in the electronic device and used for measuring electrocardiogram. The sensors connectible to the electrode  146  described above are merely exemplary and the instant disclosure is not limited thereto. 
     The structure of the above-described wearable device  100  is exemplary and the wearable device  100  may be implemented differently from  FIG.  2 A ,  FIG.  2 B , and  FIG.  2 C . The wearable device  100  may have various shapes/structures suitable for performing the method for measuring biometric data disclosed herein. 
       FIG.  3    is a block diagram illustrating a wearable device according to an embodiment. 
     Referring to  FIG.  3   , the wearable device  100  may include a processor  310 , a display  320 , a memory  330 , a speaker  340 , a motor  350 , an LED  360 , and a sensor part  370 . In certain embodiments, the wearable device  100  may additionally include components other than the component described in  FIG.  3    or omit at least one of the components described in  FIG.  3   . 
     According to an embodiment, the processor  310  may acquire biometric data (e.g., impedance phase information) of the user based on data values (e.g., data regarding a body component) acquired from the sensor part  370 . According to an embodiment, the processor  310  may provide the acquired biometric data to the user through the display  320 . According to an embodiment, in case that the acquired biometric data deviates from a predetermined range, the processor  310  may provide a guide for inducing remeasurement to the user through the display  320 . 
     According to an embodiment, the memory  330  may store various data used by at least one component (e.g., the processor) of the electronic device  100 . For example, the memory  330  may store user biometric data acquired by the sensor part  370 . 
     According to an embodiment, the speaker  340  may output audio data stored in the memory  330 , based on the user biometric data acquired by the sensor part  370 . For example, in case that the acquired biometric data deviates from a predetermined range, the processor  310  may output a voice guide or sound for providing a notification related to remeasurement to the user through the speaker  340 . 
     According to an embodiment, the motor  350  may convert an electrical signal into a mechanical stimulation (e.g., vibration or movement) that a user may perceive. For example, in case that the user&#39;s wearing is detected, but both hands of a user are in contact, or it is determined that the electrode has an error, the processor  310  may output vibration through the motor  350 . 
     According to an embodiment, the LED  360  may emit visible light based on an electrical signal received from the biometric sensor. For example, in case that the user&#39;s wearing is detected, but both hands of the user are in contact, or it is determined that the electrode has an error, the processor  310  may provide a notification to a user through flashing of the LED. 
     According to an embodiment, the sensor part  370  may detect a state of the user and transmit a signal corresponding to the detected state to the processor  310 . According to an embodiment, the sensor part  370  may include a biometric sensor (e.g., the biometric sensor  140  in  FIG.  2 B ). According to an embodiment, the biometric sensor may include at least one of a bioelectrical impedance analysis (BIA) sensor, a heart ratio monitor (HRM) sensor, an electrocardiogram (ECG) sensor, and a saturation of percutaneous oxygen (SpO2) sensor. 
     According to an embodiment, the sensor part  370  may include multiple electrodes. According to an embodiment, the multiple electrodes may include a first electrode, a second electrode, a third electrode, and a fourth electrode. According to an embodiment, the first electrode and the second electrode may come into contact with a first area  380  of the user body. According to an embodiment, the third electrode and the fourth electrode may come into contact with a second area  390  of the user body, which does not overlap the first area  380 . 
     The sensor part  370  disclosed herein may be referred to as simply a sensor, a sensor circuit, a sensor module, or the like. 
       FIG.  4    is a view illustrating a location of an electrode in a wearable device according to an embodiment. 
     According to an embodiment, the BIA sensor (e.g., the biometric sensor  140  in  FIG.  2 B  or the sensor part  370  in  FIG.  3   ) may include multiple electrodes. According to an embodiment, a first electrode  370   a  and a second electrode  370   b  of the electrodes of the BIA sensor may be arranged on an upper surface portion or lateral surface portion of the wearable device  100 . According to an embodiment, a third electrode  370   c  and a fourth electrode  370   d  may be arranged on a rear surface portion of the wearable device not to overlap the first electrode  370   a  and the second electrode  370   b . According to an embodiment, the first electrode  370   a , the second electrode  370   b , the third electrode  370   c , and the fourth electrode  370   d  may be exposed to the outside of the housing while being spaced apart from each other. 
       FIG.  5    is a view illustrating locations of an electrode and a user body coming into contact with the electrode in a wearable device according to an embodiment. 
     According to an embodiment, the first electrode  370   a  of the biometric sensor may come into contact with a portion  500   a  of a right hand (or a left hand) of the user  101 , the second electrode  370   b  may come into contact with a portion  500   b  of the right hand of the user  101  that does not overlap with the portion  500   a  of the right hand (or the left hand) of the user. 
     According to an embodiment, the third electrode  370   c  of the biometric sensor may come into contact with a portion  500   c  of the left hand (or the right hand) of the user and the fourth electrode  370   d  may come into contact with a portion  500   d  of the left hand (or the right hand). 
       FIG.  6 A  is a view illustrating a human body closed loop formed in case that a user body comes into contact with an electrode connected to a biometric sensor in a wearable device according to an embodiment. 
     Referring to  FIG.  6 A , a first electrode  630   a  (e.g., the first electrode  370   a  in  FIG.  3   ) of the biometric sensor  600  (e.g., the biometric sensor  140  in  FIG.  2 B ) according to an embodiment may be connected to an alternating current source. According to an embodiment, a third electrode  630   c  (e.g., the second electrode  370   b  in  FIG.  3   ) of the biometric sensor  600  may be connected to the alternating current source. According to an embodiment, in case that a portion of the user body comes into contact with the first electrode  630   a  and the third electrode  630   c , a micro current may flow to the human body. According to an embodiment, in case that the micro current flows to the human body, a current loop  620  may be formed between the contacted portions. According to an embodiment, in case that body portions respectively in contact with the first electrode  630   a  and the third electrode come into contact with each other, an unexpected human body closed loop  610  may be formed. For example, in case that the right hand and the left hand of a user come into contact with each other, a different human body closed loop  610  may be formed so that data that may not be generated from the human body in a correct posture may be measured. 
     According to an embodiment, a second electrode  630   b  (e.g., the second electrode  370   b  in  FIG.  3   ) of the biometric sensor  600  may be connected to a voltage detector. According to an embodiment, a fourth electrode  630   d  (e.g., the fourth electrode  370   d  in  FIG.  3   ) of the biometric sensor  600  may be connected to the voltage detector. The voltage detector connected to the second electrode  630   b  and the fourth electrode  630   d  may measure a voltage between both electrodes. 
       FIG.  6 B  is a view illustrating, on a human body, a human body closed loop formed in case that a user body comes into contact with an electrode connected to a biometric sensor in a wearable device according to an embodiment. 
     According to an embodiment the first electrode  630   a  and the third electrode  630   c  may be electrodes for supplying a current. According to an embodiment the second electrode  630   b  and the fourth electrode  630   d  may be electrodes for measuring a voltage. According to an embodiment, in case that a user body comes into contact with the first electrode and the third electrode, a human body closed loop may be formed. According to an embodiment, in case that the human body closed loop is formed, a value corresponding to the sum of impedances of the left arm and the right arm may be measured. 
       FIG.  6 C  is a view illustrating acquisition of biometric data when a parasitic component existing in a biometric contact circuit in a wearable device according to an embodiment. 
     Referring to  FIG.  6 C , the processor  310  according to an embodiment may measure a parasitic impedance value  601  through the biometric circuit  650 . The parasitic impedance value  601  may be produced with respect to four electrodes (e.g., the first electrode  630   a , the second electrode  630   b , the third electrode  630   c , and the fourth electrode  630   d ) included in the biometric circuit  650 . For example, a first parasitic impedance value  601   a , a second parasitic impedance value  601   b , a third parasitic impedance value  601   c , and a fourth parasitic impedance value  601   d  may be produced with respect to the first electrode  630   a , the second electrode  630   b , the third electrode  630   c , and the fourth electrode  630   d , respectively. 
     According to an embodiment, the parasitic impedance value  601  may be derived from a parasitic component inside the wearable device. For example, the parasitic component may include at least one of unintentionally produced resistance, capacitance, inductance, and/or a component that interfere with an electrical signal in the biometric circuit  650 . 
     According to an embodiment, the processor  310  may store the parasitic impedance value  601  measured through the biometric circuit  650  in the memory. According to an embodiment, the processor  310  may detect, through the biometric circuit  650 , that a first portion of the human body of the user  101  comes into contact with the first electrode  630   a  and the second electrode  630   b  and a second portion of the human body of the user  101  comes into contact with the third electrode  630   c  and the fourth electrode  630   d.    
     According to an embodiment, the processor  310  may apply a current to the human body through the second electrode  630   b  and the third electrode  630   c  via the biometric circuit  650 . According to an embodiment, in case that a portion of the user ( 101 ) body comes into contact with the first electrode  630   a  and the third electrode  630   c , a micro current may flow to the human body. According to an embodiment, in case that the micro current flows to the human body, a current loop  620  may be formed between the contacted portions. According to an embodiment, the current may flow through the current loop  620 . 
     According to an embodiment, the processor  310  may measure the voltage across both ends of the first electrode  630   a  and the fourth electrode  630   d  through the biometric circuit  650  in response to the application of the current. According to an embodiment, a voltage loop  640  in which voltage is measured may be formed in the human body. 
     According to an embodiment, the processor  310  may acquire impedance phase information of the human body based on the applied current, the measured voltage, and the parasitic impedance value  601 . 
     According to an embodiment, in case that the acquired impedance information deviates from a predetermined range, the processor  310  may be configured to provide a notification related to the biometric data measurement. 
       FIG.  7    is a flowchart illustrating provision of a notification related to biometric data measurement to a user according to acquired biometric data in a wearable device according to an embodiment. 
     According to an embodiment, in operation  710 , the wearable device (e.g., the wearable device  100  in  FIG.  1   ) may detect, through a biometric sensor, that a first portion of a human body comes into contact with a first electrode and a second electrode. 
     According to an embodiment, in operation  720 , the wearable device  100  may detect, through the biometric sensor, that a second portion of the human body comes into contact with a third electrode and a fourth electrode. 
     According to an embodiment, in case of detecting a measurement mode, the wearable device  100  may detect that the first portion of the human body comes into contact with the first electrode and the second electrode and that the second portion of the human body comes into contact with the third electrode and the fourth electrode so as to measure biometric information. According to an embodiment, in case of detecting that the first portion of the human body comes into contact with the first electrode and the second electrode and that the second portion of the human body comes into contact with the third electrode and the fourth electrode, the wearable device  100  may automatically measure biometric information. According to an embodiment, the biometric information may include impedance phase information and/or impedance size information. 
     According to an embodiment, in operation  730 , the wearable device  100  may acquire impedance phase information of the human body by using Equation 1, Equation 2, and Equation 3. 
         Z=R+jX   [Equation 1]
 
     In Equation 1, Z indicates a bio-impedance value. R indicates a resistance component and X indicates a reactance component. The impedance phase information is acquired by using the reactance component. 
         V=IR   [Equation 2]
 
     In Equation 2, V indicates a voltage value measured by a voltage detector. I indicates a current value, which flows through a human body from an alternating current source. R indicates a resistance component. The resistance component is acquired by using the voltage value and the current value. 
     
       
         
           
             
               
                 
                   
                     phase 
                     ⁢ 
                         
                     angle 
                   
                   = 
                   
                     arctan 
                     ⁡ 
                     ( 
                     
                       
                         
                           X 
                           ⁢ 
                           L 
                         
                         - 
                         
                           X 
                           ⁢ 
                           C 
                         
                       
                       R 
                     
                     ) 
                   
                 
               
               
                 
                   [ 
                   
                     Equation 
                     ⁢ 
                         
                     3 
                   
                   ] 
                 
               
             
           
         
       
     
     In Equation 3, a phase angle may refer to a phase angle difference between a voltage and a current. X L  indicates an inductive reactance, and X C  means a capacitive reactance. The phase angle is acquired by using information of the inductive reactance and/or the capacitive reactance. For example, the value of the capacitive reactance may be acquired by using the value of a voltage at an electrode and the value of a reference capacitance inside a circuit. As shown in the above-described embodiment, the phase angle may be acquired by using information of the inductive reactance. 
     According to an embodiment, in operation  740 , the wearable device  100  may determine whether the acquired impedance phase information acquired using Equation 2 and Equation 3 calculated by the processor falls within a predetermined range. 
     According to an embodiment, in case that the acquired impedance phase information falls within a predetermined range, the wearable device  100  may provide a UI indicating that measurement is normally performed to the user through a display. 
     According to an embodiment, in operation  750 , in case that acquired phase information deviates the predetermined range, the wearable device  100  may provide a notification to the user. According to another embodiment, in case that acquired impedance size information deviates the predetermined range, the wearable device  100  may provide a notification to the user. 
     According to an embodiment, in case that the acquired phase information falls within a first range, the wearable device  100  may provide a notification to indicate measurement error. For example, the measurement error may include at least one of a case in which user&#39;s information is insufficiently input, a case in which a user&#39;s wrist is not into contact with an electrode, a case in which a user&#39;s finger is not in contact with an electrode, a case in which a user&#39;s wrist is dry enough to prevent a current from flowing, a case in which a user&#39;s finger is dry enough to prevent a current from flowing, a case in which a user&#39;s both hands are in contact, and a case in which a user&#39;s posture is not stable. 
     According to an embodiment, in case that the acquired phase information falls within a second range, the wearable device  100  may provide a notification to indicate an electrode error. According to an embodiment, the electrode error may include a case in which an electrode is short-circuiting or grounded. 
     According to an embodiment, the notification provided to the user may include at least one of a UI through a display, a voice guide or sound through a speaker, vibration through a motor, and flashing of an LED. For example, in case that the user&#39;s information is insufficiently input, a UI for guiding to input user&#39;s information may be provided together with vibration. 
       FIG.  8    is a flowchart for selecting a control method of a processor according to whether acquired biometric data is within a predetermined range in a wearable device according to an embodiment. In relation to a description of  FIG.  8   , description corresponding to, identical to, or similar to the aforementioned description may be omitted. 
     Referring to  FIG.  8   , in operation  801 , a user (e.g., the user  101  in  FIG.  1   ) may input information such as user&#39;s height, weight, age, and gender to a wearable device (e.g., the electronic device  100  in  FIG.  1   ). According to an embodiment, the user&#39;s information may be stored in a memory (e.g., the memory  330  in  FIG.  3   ). 
     According to an embodiment, in operation  803 , the wearable device  100  may provide a guide for a correct measurement posture to the user  101 . For example, the wearable device may inform the user of the location in which a finger touches an electrode and guide the user to take a posture where arms are as wide as possible so that the left and right hands of the user do not touch each other. 
     According to an embodiment, in operation  805 , the wearable device  100  may start bio-impedance measurement of the user  101 . According to an embodiment, in case of detecting a measurement mode, the wearable device  100  may detect whether the human body of the user  101  comes into contact with an electrode and start measurement. According to an embodiment, in case of detecting whether the human body of the user  101  comes into contact with an electrode, the wearable device  100  may automatically start measurement. 
     According to an embodiment, in operation  807 , the wearable device  100  may acquire biometric data during a first time through a sensor part (e.g., the sensor part  370  in  FIG.  3   ). For example, the wearable device  100  may acquire biometric data for 5 to 9 seconds. According to an embodiment, the biometric data may include heart rate, blood oxygen saturation (SpO2), electrocardiogram, and bio-impedance information. 
     According to an embodiment, in operation  809 , the wearable device  100  may determine whether the resistance value of the bio-impedance of the user  101  falls within a predetermined range when determined based on first accuracy. For example, it may be determined whether the user&#39;s body resistance falls within the predetermined range by counting the times at which the human body resistance measured during a first time falls within a certain range (e.g., +/−50Ω) with reference to 700Ω. 
     According to an embodiment, it may be determined that the resistance value of the bio-impedance falls within the predetermined range when determined based on the first accuracy. For example, it may be determined that the user&#39;s body resistance falls within the predetermined range in case that the frequency at which the user&#39;s body resistance measured during the first time is within a certain range (e.g., +/−50Ω) with reference to 700Ω in 75% or more of the total samples. Accordingly, in operation  811 , the wearable device may determine whether phase information of the bio-impedance falls within the predetermined range based on the first accuracy. 
     According to an embodiment, it may be determined that the resistance value of the bio-impedance deviates from the predetermined range when determined based on the first accuracy. For example, in case that resistance variation measured during the first time is larger than or equal to a designated reference, it may be determined to deviate from the predetermined range. Accordingly, in operation  813 , the wearable device may induce remeasurement of the user by displaying or outputting a guide. For example, the guide for remeasurement may include at least one of a UI through a display, a voice guide or sound through a speaker, vibration through a motor, and flashing of an LED. 
     According to an embodiment, in operation  811 , the wearable device may determine that the phase value of the bio-impedance falls within the predetermined range when determined based on the first accuracy. Accordingly, in operation  815 , the wearable device may additionally proceed with bio-impedance measurement during a second time. For example, the wearable device may additionally proceed with bio-impedance measurement for 3 seconds. The duration of the second time may vary based on the first accuracy. 
     According to an embodiment, the wearable device may determine that the phase value of the bio-impedance deviates from a predetermined range when determined based on the first accuracy. Accordingly, in operation  817 , the wearable device may induce remeasurement of the user through a guide. 
     According to an embodiment, in operation  819 , the wearable device may determine whether phase information and resistance value of the bio-impedance fall within a predetermined range when determined based on the second accuracy. 
     According to an embodiment, it may be determined that the phase information and resistance value of the bio-impedance falls within a predetermined range when determined based on the second accuracy. For example, it may be determined that the user&#39;s body resistance falls within the predetermined range in case that the frequency at which the user&#39;s body resistance measured during the second time is within a certain range (e.g., +/−50Ω) with reference to 700Ω in 50% or more of the total samples. Accordingly, in operation  821 , the wearable device may filter out values deviating from the predetermined range and calculate an average value from values within the predetermined range to be substituted into a body component algorithm. 
     According to an embodiment, the wearable device may determine that the resistance value and phase information of the bio-impedance deviate from the predetermined range when determined based on the second accuracy. Accordingly, in operation  823 , the wearable device may induce remeasurement of the user. 
     According to an embodiment, the first accuracy and/or the second accuracy may be determined based on the biometric information acquired from the user. For example, the biometric information may include at least one of a magnitude of the user&#39;s bio-impedance, a resistance value of the user&#39;s bio-impedance, and a reactance value of the user&#39;s bio-impedance. 
       FIG.  9 A  to  FIG.  9 E  are views illustrating UIs displayed on a display in a wearable device according to certain embodiments. In relation to a description of  FIG.  9 A  to  FIG.  9 E , description corresponding to, identical to, or similar to the aforementioned description may be omitted. 
     Referring to  FIG.  9 A , the wearable device  900   a  (e.g., the wearable device  100  in  FIG.  1   ) according to an embodiment may stop measuring a bio-impedance in case that a user (e.g., the user  101  in  FIG.  1   ) does not bring a human body in contact with an electrode at a correct position. According to an embodiment, in case of determining that the user has not bring a human body in contact with an electrode at the correct position, the wearable device  900   a  may output a guide message to the user through the display. For example, the wearable device  900   a  may output a guide message (e.g., “Put your hand on the BIA electrode”) for guiding the user to bring a finger in contact with a correct location. 
     Referring to  FIG.  9 B , in case of determining that the bio-impedance of the user is normally measured, the wearable device  900   b  according to an embodiment may continuously proceed the bio-impedance measurement. According to an embodiment, in case of determining that the bio-impedance of the user is normally measured, the wearable device  900   b  may output a guide message to the user through a display. For example, the wearable device  900   b  may output a guide message (e.g., “Body impedance measuring . . . ”) to inform that the bio-impedance of the user is normally measured. 
     Referring to  FIG.  9 C , in case of determining that the bio-impedance of the user is not normally measured, the wearable device  900   c  according to an embodiment may stop the bio-impedance measurement. For example, the case of determining that the bio-impedance of the user is not normally measured may include a case of not receiving a measured signal or a case that a measured signal is received but deviates from a normal range. In another embodiment, this may be caused by the user&#39;s hand not being in contact with the electrode, only one hand being in contact with the electrode, the user&#39;s hands being in contact with each other, the user&#39;s finger or wrist is dry enough to make it difficult to measure normal biometric information, and biometric information may not be measured due to the user&#39;s movement. 
     According to an embodiment, in case of determining that an electrode has an error, the wearable device  900   c  may output a guide message to the user through a display. For example, the wearable device  900   c  may output a guide message (e.g., “There is an error and proper function is not possible”) indicating that the electrode has an error. 
     Referring to  FIG.  9 D , in case that the bio-impedance has been normally measured, the wearable device  900   d  according to an embodiment may provide a content related to a biometric analysis result to a user through a display. For example, the biometric analysis result may include information related to at least one of the user&#39;s weight, muscle mass, body fat mass, body fat percentage, and BMI. In another embodiment, the wearable device  900   d  may provide information indicating whether the biometric analysis result of the user falls within a reference range through a display. 
     Referring to  FIG.  9 E , in case that the bio-impedance has been normally measured, the wearable device  900   e  according to an embodiment may provide a content related to a biometric analysis result in a graphic form to a user through a display. For example, the wearable device  900   e  may provide information indicating whether the user has a standard weight in a graphic form, based on information on at least one of the user&#39;s weight, muscle mass, body fat mass, body fat percentage, and BMI. 
     According to an embodiment, the wearable device  900  may output notification vibration to induce the user to remeasure through a haptic motor (not shown). For example, the wearable device  900  may provide, to the user, a guide message through a display and/or notification vibration through a haptic motor so as to cause the user to take a correct posture. 
       FIG.  10    illustrates a graph indicating a method for determining whether acquired biometric data is within a predetermined range in a wearable device according to an embodiment. In relation to a description of  FIG.  10   , description corresponding to, identical to, or similar to the aforementioned description may be omitted. 
     Referring to  FIG.  10   , the wearable device (e.g., the electronic device  100  in  FIG.  1   ) may detect that impedance phase information of a user falls in a first range  1010 , a predetermined range  1020 , and a second range  1030 . According to an embodiment, in case that phase information falls within the first range  1010 , a processor (e.g.,  310  in  FIG.  3   ) of the wearable device may control to provide a guide for remeasurement to the user through at least one of a display, a motor, a speaker, and an LED. 
     According to an embodiment, in case that phase information falls within the predetermined range  1020 , the processor ( 310  in  FIG.  3   ) of the wearable device may control a biometric sensor to continuously measure bio-impedance of a user. 
     According to an embodiment, in case that phase information falls within the second range  1030 , the processor (e.g.,  310  in  FIG.  3   ) of the wearable device may control to provide a notification indicating that an electrode has an error to the user through at least one of a display, a motor, a speaker, and an LED. 
       FIG.  11 A  is a view illustrating a human body closed loop formed in case that an acquired phase information falls within a predetermined range in a wearable device according to an embodiment. 
     According to an embodiment, a bio-impedance value may be derived by information on a current flowing to the human body through an alternating current source  1110  and information on a voltage measured by a voltage detector  1120 . According to an embodiment, the phase information may be derived from a value including reactance other than a resistance value in the bio-impedance. According to an embodiment, in case that an alternating current flows through an alternating current source  1110 , a human body closed loop  1100  through both arms of a user may be formed. According to an embodiment, in case that a normal human body closed loop is formed, a normal bio-impedance  1130  may be measured. For example, in case that a normal human body closed loop is formed, a phase angle may be within a range of −3° to −14°. 
       FIG.  11 B  is a view illustrating a human body closed loop formed in case that both hands of a user are in contact in a wearable device according to an embodiment. 
     According to an embodiment, in case that a closed loop caused by contact of both hands of a user is formed in addition to the normal human body closed loop, a bio-impedance  1140  caused by the contact of both hands other than the normal human body closed loop  1130  may be measured. For example, in case of measuring a bio-impedance in the state when both hands of the user are in contact, the phase angle may be within a range below −14°. 
       FIG.  11 C  is a view illustrating a human body closed loop formed in case that an error occurs in an electrode in a wearable device according to an embodiment. 
     According to an embodiment, in case that an electrode has an error, a bio-impedance  1150  caused by the error of the electrode other than the normal human body closed loop  1130  may be measured. For example, the phase angle acquired in case that the electrode is short-circuited or grounded may be a range above −3°. 
       FIG.  12    is a block diagram illustrating an electronic device  1201  in a network environment  1200  according to various embodiments. Referring to  FIG.  12   , the electronic device  1201  in the network environment  1200  may communicate with an electronic device  1202  via a first network  1298  (e.g., a short-range wireless communication network), or at least one of an electronic device  1204  or a server  1208  via a second network  1299  (e.g., a long-range wireless communication network). According to an embodiment, the electronic device  1201  may communicate with the electronic device  1204  via the server  1208 . According to an embodiment, the electronic device  1201  may include a processor  1220 , memory  1230 , an input module  1250 , a sound output module  1255 , a display module  1260 , an audio module  1270 , a sensor module  1276 , an interface  1277 , a connecting terminal  1278 , a haptic module  1279 , a camera module  1280 , a power management module  1288 , a battery  1289 , a communication module  1290 , a subscriber identification module (SIM)  1296 , or an antenna module  1297 . In some embodiments, at least one of the components (e.g., the connecting terminal  1278 ) may be omitted from the electronic device  1201 , or one or more other components may be added in the electronic device  1201 . In some embodiments, some of the components (e.g., the sensor module  1276 , the camera module  1280 , or the antenna module  1297 ) may be implemented as a single component (e.g., the display module  1260 ). 
     The processor  1220  may execute, for example, software (e.g., a program  1240 ) to control at least one other component (e.g., a hardware or software component) of the electronic device  1201  coupled with the processor  1220 , and may perform various data processing or computation. According to one embodiment, as at least part of the data processing or computation, the processor  1220  may store a command or data received from another component (e.g., the sensor module  1276  or the communication module  1290 ) in volatile memory  1232 , process the command or the data stored in the volatile memory  1232 , and store resulting data in non-volatile memory  1234 . According to an embodiment, the processor  1220  may include a main processor  1221  (e.g., a central processing unit (CPU) or an application processor (AP)), or an auxiliary processor  1223  (e.g., a graphics processing unit (GPU), a neural processing unit (NPU), an image signal processor (ISP), a sensor hub processor, or a communication processor (CP)) that is operable independently from, or in conjunction with, the main processor  1221 . For example, when the electronic device  1201  includes the main processor  1221  and the auxiliary processor  1223 , the auxiliary processor  1223  may be adapted to consume less power than the main processor  1221 , or to be specific to a specified function. The auxiliary processor  1223  may be implemented as separate from, or as part of the main processor  1221 . 
     The auxiliary processor  1223  may control at least some of functions or states related to at least one component (e.g., the display module  1260 , the sensor module  1276 , or the communication module  1290 ) among the components of the electronic device  1201 , instead of the main processor  1221  while the main processor  1221  is in an inactive (e.g., sleep) state, or together with the main processor  1221  while the main processor  1221  is in an active state (e.g., executing an application). According to an embodiment, the auxiliary processor  1223  (e.g., an image signal processor or a communication processor) may be implemented as part of another component (e.g., the camera module  1280  or the communication module  1290 ) functionally related to the auxiliary processor  1223 . According to an embodiment, the auxiliary processor  1223  (e.g., the neural processing unit) may include a hardware structure specified for artificial intelligence model processing. An artificial intelligence model may be generated by machine learning. Such learning may be performed, e.g., by the electronic device  1201  where the artificial intelligence is performed or via a separate server (e.g., the server  1208 ). Learning algorithms may include, but are not limited to, e.g., supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning. The artificial intelligence model may include a plurality of artificial neural network layers. The artificial neural network may be a deep neural network (DNN), a convolutional neural network (CNN), a recurrent neural network (RNN), a restricted Boltzmann machine (RBM), a deep belief network (DBN), a bidirectional recurrent deep neural network (BRDNN), deep Q-network or a combination of two or more thereof but is not limited thereto. The artificial intelligence model may, additionally or alternatively, include a software structure other than the hardware structure. 
     The memory  1230  may store various data used by at least one component (e.g., the processor  1220  or the sensor module  1276 ) of the electronic device  1201 . The various data may include, for example, software (e.g., the program  1240 ) and input data or output data for a command related thereto. The memory  1230  may include the volatile memory  1232  or the non-volatile memory  1234 . 
     The program  1240  may be stored in the memory  1230  as software, and may include, for example, an operating system (OS)  1242 , middleware  1244 , or an application  1246 . 
     The input module  1250  may receive a command or data to be used by another component (e.g., the processor  1220 ) of the electronic device  1201 , from the outside (e.g., a user) of the electronic device  1201 . The input module  1250  may include, for example, a microphone, a mouse, a keyboard, a key (e.g., a button), or a digital pen (e.g., a stylus pen). 
     The sound output module  1255  may output sound signals to the outside of the electronic device  1201 . The sound output module  1255  may include, for example, a speaker or a receiver. The speaker may be used for general purposes, such as playing multimedia or playing record. The receiver may be used for receiving incoming calls. According to an embodiment, the receiver may be implemented as separate from, or as part of the speaker. 
     The display module  1260  may visually provide information to the outside (e.g., a user) of the electronic device  1201 . The display module  1260  may include, for example, a display, a hologram device, or a projector and control circuitry to control a corresponding one of the display, hologram device, and projector. According to an embodiment, the display module  1260  may include a touch sensor adapted to detect a touch, or a pressure sensor adapted to measure the intensity of force incurred by the touch. 
     The audio module  1270  may convert a sound into an electrical signal and vice versa. According to an embodiment, the audio module  1270  may obtain the sound via the input module  1250 , or output the sound via the sound output module # 55  or a headphone of an external electronic device (e.g., an electronic device # 02 ) directly (e.g., wiredly) or wirelessly coupled with the electronic device  1201 . 
     The sensor module  1276  may detect an operational state (e.g., power or temperature) of the electronic device  1201  or an environmental state (e.g., a state of a user) external to the electronic device  1201 , and then generate an electrical signal or data value corresponding to the detected state. According to an embodiment, the sensor module  1276  may include, for example, a gesture sensor, a gyro sensor, an atmospheric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an infrared (IR) sensor, a biometric sensor, a temperature sensor, a humidity sensor, or an illuminance sensor. 
     The interface  1277  may support one or more specified protocols to be used for the electronic device  1201  to be coupled with the external electronic device (e.g., the electronic device  1202 ) directly (e.g., wiredly) or wirelessly. According to an embodiment, the interface  1277  may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, a secure digital (SD) card interface, or an audio interface. 
     A connecting terminal  1278  may include a connector via which the electronic device  1201  may be physically connected with the external electronic device (e.g., the electronic device  1202 ). According to an embodiment, the connecting terminal  1278  may include, for example, a HDMI connector, a USB connector, a SD card connector, or an audio connector (e.g., a headphone connector). 
     The haptic module  1279  may convert an electrical signal into a mechanical stimulus (e.g., a vibration or a movement) or electrical stimulus which may be recognized by a user via his tactile sensation or kinesthetic sensation. According to an embodiment, the haptic module  1279  may include, for example, a motor, a piezoelectric element, or an electric stimulator. 
     The camera module  1280  may capture a still image or moving images. According to an embodiment, the camera module  1280  may include one or more lenses, image sensors, image signal processors, or flashes. 
     The power management module  1288  may manage power supplied to the electronic device  1201 . According to one embodiment, the power management module  1288  may be implemented as at least part of, for example, a power management integrated circuit (PMIC). 
     The battery  1289  may supply power to at least one component of the electronic device # 01 . According to an embodiment, the battery  1289  may include, for example, a primary cell which is not rechargeable, a secondary cell which is rechargeable, or a fuel cell. 
     The communication module  1290  may support establishing a direct (e.g., wired) communication channel or a wireless communication channel between the electronic device  1201  and the external electronic device (e.g., the electronic device  1202 , the electronic device  1204 , or the server  1208 ) and performing communication via the established communication channel. The communication module  1290  may include one or more communication processors that are operable independently from the processor  1220  (e.g., the application processor (AP)) and supports a direct (e.g., wired) communication or a wireless communication. According to an embodiment, the communication module  1290  may include a wireless communication module  1292  (e.g., a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module  1294  (e.g., a local area network (LAN) communication module or a power line communication (PLC) module). A corresponding one of these communication modules may communicate with the external electronic device via the first network  1298  (e.g., a short-range communication network, such as Bluetooth™, wireless-fidelity (Wi-Fi) direct, or infrared data association (IrDA)) or the second network  1299  (e.g., a long-range communication network, such as a legacy cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (e.g., LAN or wide area network (WAN)). These various types of communication modules may be implemented as a single component (e.g., a single chip), or may be implemented as multi components (e.g., multi chips) separate from each other. The wireless communication module  1292  may identify and authenticate the electronic device  1201  in a communication network, such as the first network  1298  or the second network  1299 , using subscriber information (e.g., international mobile subscriber identity (IMSI)) stored in the subscriber identification module  1296 . 
     The wireless communication module  1292  may support a 5G network, after a 4G network, and next-generation communication technology, e.g., new radio (NR) access technology. The NR access technology may support enhanced mobile broadband (eMBB), massive machine type communications (mMTC), or ultra-reliable and low-latency communications (URLLC). The wireless communication module  1292  may support a high-frequency band (e.g., the mmWave band) to achieve, e.g., a high data transmission rate. The wireless communication module  1292  may support various technologies for securing performance on a high-frequency band, such as, e.g., beamforming, massive multiple-input and multiple-output (massive MIMO), full dimensional MIMO (FD-MIMO), array antenna, analog beam-forming, or large scale antenna. The wireless communication module  1292  may support various requirements specified in the electronic device  1201 , an external electronic device (e.g., the electronic device  1204 ), or a network system (e.g., the second network  1299 ). According to an embodiment, the wireless communication module  1292  may support a peak data rate (e.g., 20 Gbps or more) for implementing eMBB, loss coverage (e.g., 164 dB or less) for implementing mMTC, or U-plane latency (e.g., 0.5 ms or less for each of downlink (DL) and uplink (UL), or a round trip of 1 ms or less) for implementing URLLC. 
     The antenna module  1297  may transmit or receive a signal or power to or from the outside (e.g., the external electronic device) of the electronic device  1201 . According to an embodiment, the antenna module  1297  may include an antenna including a radiating element composed of a conductive material or a conductive pattern formed in or on a substrate (e.g., a printed circuit board (PCB)). According to an embodiment, the antenna module  1297  may include a plurality of antennas (e.g., array antennas). In such a case, at least one antenna appropriate for a communication scheme used in the communication network, such as the first network  1298  or the second network  1299 , may be selected, for example, by the communication module  1290  (e.g., the wireless communication module  1292 ) from the plurality of antennas. The signal or the power may then be transmitted or received between the communication module  1290  and the external electronic device via the selected at least one antenna. According to an embodiment, another component (e.g., a radio frequency integrated circuit (RFIC)) other than the radiating element may be additionally formed as part of the antenna module  1297 . 
     According to various embodiments, the antenna module  1297  may form a mmWave antenna module. According to an embodiment, the mmWave antenna module may include a printed circuit board, a RFIC disposed on a first surface (e.g., the bottom surface) of the printed circuit board, or adjacent to the first surface and capable of supporting a designated high-frequency band (e.g., the mmWave band), and a plurality of antennas (e.g., array antennas) disposed on a second surface (e.g., the top or a side surface) of the printed circuit board, or adjacent to the second surface and capable of transmitting or receiving signals of the designated high-frequency band. 
     At least some of the above-described components may be coupled mutually and communicate signals (e.g., commands or data) therebetween via an inter-peripheral communication scheme (e.g., a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)). 
     According to an embodiment, commands or data may be transmitted or received between the electronic device  1201  and the external electronic device  1204  via the server  1208  coupled with the second network  1299 . Each of the electronic devices  1202  or  1204  may be a device of a same type as, or a different type, from the electronic device  1201 . According to an embodiment, all or some of operations to be executed at the electronic device  1201  may be executed at one or more of the external electronic devices  1202 ,  1204 , or  1208 . For example, if the electronic device  1201  should perform a function or a service automatically, or in response to a request from a user or another device, the electronic device  1201 , instead of, or in addition to, executing the function or the service, may request the one or more external electronic devices to perform at least part of the function or the service. The one or more external electronic devices receiving the request may perform the at least part of the function or the service requested, or an additional function or an additional service related to the request, and transfer an outcome of the performing to the electronic device  1201 . The electronic device  1201  may provide the outcome, with or without further processing of the outcome, as at least part of a reply to the request. To that end, a cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used, for example. The electronic device  1201  may provide ultra low-latency services using, e.g., distributed computing or mobile edge computing. In another embodiment, the external electronic device  1204  may include an internet-of-things (IoT) device. The server  1208  may be an intelligent server using machine learning and/or a neural network. According to an embodiment, the external electronic device  1204  or the server  1208  may be included in the second network  1299 . The electronic device  1201  may be applied to intelligent services (e.g., smart home, smart city, smart car, or healthcare) based on 5G communication technology or IoT-related technology. 
     The electronic device according to various embodiments may be one of various types of electronic devices. The electronic devices may include, for example, a portable communication device (e.g., a smartphone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance. According to an embodiment of the disclosure, the electronic devices are not limited to those described above. 
     It should be appreciated that various embodiments of the present disclosure and the terms used therein are not intended to limit the technological features set forth herein to particular embodiments and include various changes, equivalents, or replacements for a corresponding embodiment. With regard to the description of the drawings, similar reference numerals may be used to refer to similar or related elements. It is to be understood that a singular form of a noun corresponding to an item may include one or more of the things, unless the relevant context clearly indicates otherwise. As used herein, each of such phrases as “A or B,” “at least one of A and B,” “at least one of A or B,” “A, B, or C,” “at least one of A, B, and C,” and “at least one of A, B, or C,” may include any one of, or all possible combinations of the items enumerated together in a corresponding one of the phrases. As used herein, such terms as “1st” and “2nd,” or “first” and “second” may be used to simply distinguish a corresponding component from another, and does not limit the components in other aspect (e.g., importance or order). It is to be understood that if an element (e.g., a first element) is referred to, with or without the term “operatively” or “communicatively”, as “coupled with,” “coupled to,” “connected with,” or “connected to” another element (e.g., a second element), it means that the element may be coupled with the other element directly (e.g., wiredly), wirelessly, or via a third element. 
     As used in connection with various embodiments of the disclosure, the term “module” may include a unit implemented in hardware, software, or firmware, and may interchangeably be used with other terms, for example, “logic,” “logic block,” “part,” or “circuitry”. A module may be a single integral component, or a minimum unit or part thereof, adapted to perform one or more functions. For example, according to an embodiment, the module may be implemented in a form of an application-specific integrated circuit (ASIC). 
     Various embodiments as set forth herein may be implemented as software (e.g., the program  1240 ) including one or more instructions that are stored in a storage medium (e.g., internal memory  1236  or external memory  1238 ) that is readable by a machine (e.g., the electronic device  1201 ). For example, a processor (e.g., the processor  1220 ) of the machine (e.g., the electronic device  1201 ) may invoke at least one of the one or more instructions stored in the storage medium, and execute it, with or without using one or more other components under the control of the processor. This allows the machine to be operated to perform at least one function according to the at least one instruction invoked. The one or more instructions may include a code generated by a compiler or a code executable by an interpreter. The machine-readable storage medium may be provided in the form of a non-transitory storage medium. Wherein, the term “non-transitory” simply means that the storage medium is a tangible device, and does not include a signal (e.g., an electromagnetic wave), but this term does not differentiate between where data is semi-permanently stored in the storage medium and where the data is temporarily stored in the storage medium. 
     According to an embodiment, a method according to various embodiments of the disclosure may be included and provided in a computer program product. The computer program product may be traded as a product between a seller and a buyer. The computer program product may be distributed in the form of a machine-readable storage medium (e.g., compact disc read only memory (CD-ROM)), or be distributed (e.g., downloaded or uploaded) online via an application store (e.g., PlayStore™), or between two user devices (e.g., smart phones) directly. If distributed online, at least part of the computer program product may be temporarily generated or at least temporarily stored in the machine-readable storage medium, such as memory of the manufacturer&#39;s server, a server of the application store, or a relay server. 
     According to various embodiments, each component (e.g., a module or a program) of the above-described components may include a single entity or multiple entities, and some of the multiple entities may be separately disposed in different components. According to various embodiments, one or more of the above-described components may be omitted, or one or more other components may be added. Alternatively or additionally, a plurality of components (e.g., modules or programs) may be integrated into a single component. In such a case, according to various embodiments, the integrated component may still perform one or more functions of each of the plurality of components in the same or similar manner as they are performed by a corresponding one of the plurality of components before the integration. According to various embodiments, operations performed by the module, the program, or another component may be carried out sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations may be executed in a different order or omitted, or one or more other operations may be added. 
     Certain of the above-described embodiments of the present disclosure can be implemented in hardware, firmware or via the execution of software or computer code that can be stored in a recording medium such as a CD ROM, a Digital Versatile Disc (DVD), a magnetic tape, a RAM, a floppy disk, a hard disk, or a magneto-optical disk or computer code downloaded over a network originally stored on a remote recording medium or a non-transitory machine readable medium and to be stored on a local recording medium, so that the methods described herein can be rendered via such software that is stored on the recording medium using a general purpose computer, or a special processor or in programmable or dedicated hardware, such as an ASIC or FPGA. As would be understood in the art, the computer, the processor, microprocessor controller or the programmable hardware include memory components, e.g., RAM, ROM, Flash, etc. that may store or receive software or computer code that when accessed and executed by the computer, processor or hardware implement the processing methods described herein. 
     While the present disclosure has been shown and described with reference to various embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the present disclosure as defined by the appended claims and their equivalents.