KR20220128139A - Wearable device and method for measuring biometric information - Google Patents

Abstract

In accordance with one embodiment, a wearable device includes: an electrocardiogram sensor including a first electrode and a second electrode distinct from the first electrode; a capacitance correction circuit electrically connected to at least one of the first electrode and the second electrode; a memory storing control data for correcting a capacitance value of the capacitance correction circuit; and at least one processor electrically connected with the electrocardiogram sensor and the capacitance correction circuit, wherein the at least one processor can generate a control signal based on the control data, and obtain an electrocardiogram signal using the electrocardiogram sensor in a state in which the capacitance value of the capacitance correction circuit is corrected based on the control signal. Therefore, the present invention is capable of improving the accuracy of biometric information measurement.

Description

Wearable device and method for measuring biometric information

Various embodiments according to the present disclosure relate to a technique for improving a common mode rejection ratio when measuring biometric information in a wearable device.

The electrocardiography (ECG) measurement method is a method of measuring an electrical signal of the autonomic nervous system, which is generated for cardiac muscle movement, with an electrode attached to the skin for observation of cardiac activity. A wearable electrocardiogram device can be used to diagnose some arrhythmias, such as atrial fibrillation, using a simplified electrode.

Recently, a technique for measuring a biosignal using a wearable device and monitoring a health condition of a person according to the measurement result is increasing. The wearable device detects an ECG signal from a human body and analyzes the detected ECG signal using hardware such as a digital signal processor.

When detecting the ECG signal, the wearable device acquires the ECG signal by using an ECG sensor including a differential amplifier. The differential amplifier may output a signal amplified by a difference between signals acquired through two input terminals.

An ideal differential amplifier can output only the differential component of two input signals. However, in reality, the differential amplifier may output a common component of two input signals. The degree to which the differential amplifier rejects a signal common to both inputs without passing it through may be expressed as a common-mode rejection ratio (CMRR). The performance of the common-mode rejection ratio of a differential amplifier can affect the performance of signal measurements. Therefore, it is necessary to improve the performance of the common mode rejection ratio in order to improve the performance of the ECG sensor that acquires the ECG signal using the differential amplifier.

When measuring the ECG signal using the wearable device, the wearable device may acquire the ECG signal from the user of the wearable device using a plurality of input terminals. Structural characteristics of the wearable device, unlike a conventional electrocardiogram device, may have different widths, materials, and/or circuit line lengths of electrodes of two input terminals for acquiring an electrocardiogram signal. Due to the difference between these two input stages, the common mode rejection ratio of the differential amplifier may be reduced. In the ECG signal measurement using the wearable device, the ECG sensor may have a low common mode rejection ratio due to the impedance difference between the two input terminals. This may be a factor that deteriorates the performance of the ECG signal measurement.

The technical problems to be achieved in the present disclosure are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by those of ordinary skill in the art to which the present invention belongs from the description below. There will be.

A wearable device according to an embodiment includes an electrocardiogram sensor including a first electrode and a second electrode distinct from the first electrode, a capacitance correction circuit electrically connected to at least one of the first electrode or the second electrode, and capacitance correction a memory for storing control data for correcting a capacitance value of the circuit and at least one processor electrically connected to an electrocardiogram sensor and a capacitance correction circuit, wherein the at least one processor generates a control signal based on the control data; An electrocardiogram signal may be obtained by using the electrocardiogram sensor in a state in which the capacitance value of the capacitance correction circuit is corrected based on the control signal.

According to an embodiment, a method of operating a wearable device including a memory for storing control data for correcting a capacitance value of a capacitance correction circuit includes an operation of reading control data and generating a control signal based on the read control data. The operation and the operation of correcting the capacitance value by controlling the capacitance correction circuit based on the control signal, and the operation of obtaining an electrocardiogram signal using an electrocardiogram sensor electrically connected to the capacitance correction circuit in which the capacitance value has been corrected may include.

A method of controlling a wearable device including an electrocardiogram sensor, while acquiring an electrocardiogram signal using a first electrode and a second electrode of the electrocardiogram sensor, a capacitance of a capacitance correction circuit connected to at least one of a first electrode and a second electrode An operation of changing a value within a set range, an operation of acquiring at least one output signal output from the electrocardiogram sensor while the capacitance value is changing, an operation of making the magnitude of a common signal included in the at least one output signal to be the minimum capacitance value Determining control data for controlling the capacitance correction circuit to have

The wearable device according to various embodiments of the present disclosure may improve the accuracy of measuring biometric information due to a difference between two input terminals of an electrocardiogram signal.

The wearable device according to various embodiments may improve the quality of ECG signal measurement by improving an impedance difference between two input terminals for acquiring an ECG signal.

Effects obtainable in the present disclosure are not limited to the above-mentioned effects, and other effects not mentioned may be clearly understood by those of ordinary skill in the art to which the present disclosure belongs from the description below. will be.

1 is a diagram illustrating that a wearable device is mounted on a part of a body according to an exemplary embodiment.
2 is a perspective view of a wearable device according to an exemplary embodiment.
3 is a block diagram of a wearable device according to an exemplary embodiment.
4A is a diagram illustrating a capacitance correction circuit including a variable capacitor in a wearable device according to an exemplary embodiment.
4B is a diagram illustrating a capacitance correction circuit including a plurality of capacitors in a wearable device according to an exemplary embodiment.
5 is a diagram for describing an electrocardiogram signal acquired through a wearable device according to an exemplary embodiment.
6 is a flowchart for explaining the content of correcting a capacitance value through a wearable device according to an exemplary embodiment.
7 is a flowchart for explaining the contents of storing control data for correcting a capacitance value in a wearable device according to an exemplary embodiment.
8 is a flowchart for explaining the content of determining control data for correcting a capacitance value in a wearable device according to an embodiment.
9 is a diagram illustrating an electrocardiogram measurement UI displayed on a display in a wearable device according to an exemplary embodiment.
10 is a block diagram of an electronic device in a network environment according to an embodiment.

1 is a diagram illustrating a wearable electronic device mounted on a part of a body according to an embodiment.

According to an embodiment, the wearable device 100 of FIG. 1 may be a smart watch as shown. The present invention is not limited thereto, and the wearable device 100 may be a device of various types that can be used while being attached to a user's body.

According to an embodiment, the wearable device 100 may include the strap 130 , and the strap 130 may be attached to the user's body by being wound around the user's wrist. The present invention is not limited thereto, and the wearable device 100 may be attached to various body parts of the user according to the shape and size of the wearable device 100 . For example, the wearable device 100 may also be attached to a hand, the back of a hand, a finger, a fingernail, a fingertip, or the like.

2 is a perspective view of a wearable device according to an embodiment.

Referring to FIG. 2 , the wearable device 100 may include a housing 110 , a display 120 , and a strap 130 . According to an embodiment, the wearable device 100 may omit at least one of the illustrated components or additionally include other components.

According to an embodiment, the housing 110 may include an upper surface, a lower surface, and a side portion surrounding the space between the upper surface and the lower surface. According to an embodiment, the display 120 may be exposed through one area of the housing 110 . According to an embodiment, a physical button for providing a function of the electronic device 100 may be located on the side portion.

According to an embodiment, the plurality of electrodes (eg, 201 , 202 , 203 ) may be disposed on at least a portion of the housing 110 . For example, the first electrode 201 may include an upper surface (eg, a bezel) disposed to surround the display 120 of the housing 110 or a space between the upper and lower surfaces of the wearable device 100 . It may be disposed on the side part. In addition, the first electrode 201 may be disposed on a button located on the side portion in addition to the upper surface or the side portion. For example, the second electrode 202 and/or the third electrode 203 may be disposed on a lower surface of the housing 110 that forms the opposite exterior of the display 120 . In various embodiments, the shape or size of the electrode may be variously configured.

According to an embodiment, the display 120 may display the user's biometric data obtained through the biometric sensor. According to an embodiment, the display 120 may switch an output screen based on a user input to a part (eg, a bezel) of the housing 110 or an input to the display 120 . For example, the display 120 may switch from a watch screen to a biometric data screen (eg, heart rate) in response to a user's input.

According to an embodiment, the strap 130 may be connected to at least a part of the housing 110 , and the wearable device 100 may be detachably attached to a part of the user's body (eg, wrist, ankle). According to an embodiment, the user of the wearable device 100 may adjust the strap 130 to increase the degree of adhesion.

The above-described structure of the wearable device 100 is exemplary, and in various embodiments, the wearable device 100 may be implemented differently from FIG. 2 . The wearable device 100 may have various shapes/structures suitable for performing the method for measuring biometric data disclosed in this document.

3 is a block diagram of a wearable device according to an exemplary embodiment.

Referring to FIG. 3 , the wearable device 100 may include a processor 310 , an electrocardiogram sensor 320 , a capacitance correction circuit 330 , a memory 340 , and a display 350 , or a combination thereof. In various embodiments, the wearable device 100 may include additional components in addition to the components illustrated in FIG. 3 , or may omit at least one of the components illustrated in FIG. 3 .

According to an embodiment, the processor 310 may be electrically or operatively connected to the electrocardiogram sensor 320 , the capacitance correction circuit 330 , the memory 340 , and the display 350 . According to an embodiment, the processor 310 may execute an operation or data processing related to control and/or communication of at least one other component of the wearable device 100 using instructions stored in the memory 340 . According to an embodiment, the processor 310 includes a central processing unit (CPU), a graphics processing unit (GPU), a micro controller unit (MCU), a sensor hub, a supplementary processor, a communication processor, and an application. It may include at least one of a processor (application processor), application specific integrated circuit (ASIC), and field programmable gate arrays (FPGA), and may have a plurality of cores.

According to an embodiment, the processor 310 may acquire the user's biometric information from the electrocardiogram sensor 320 . According to an embodiment, the processor 310 may obtain an electrocardiogram signal from the electrocardiogram sensor 320 . According to an embodiment, the processor 310 may obtain an electrocardiogram signal from the electrocardiogram sensor 320 and analyze biometric information of a user of the wearable device. Specific details related to the operation of the processor 310 for acquiring the electrocardiogram signal will be described later with reference to FIGS. 4A and 4B .

According to an embodiment, the electrocardiogram sensor 320 may detect a user's state and provide a signal corresponding to the sensed state. According to an embodiment, the electrocardiogram sensor 320 includes a first electrode 321 (eg, the first electrode 201 of FIG. 1 ), a second electrode 322 (eg, the second electrode 202 of FIG. 1 ). ) and a third electrode 323 (eg, the third electrode 203 of FIG. 1 ).

According to an embodiment, the electrocardiogram sensor may include at least one of an electrocardiogram (ECG) sensor, an electrodermal activity (EDA) sensor, an electroencephalography (EEG) sensor, and a bioelectrical impedance analysis (BIA) sensor. According to an embodiment, the electrocardiogram sensor 320 may be electrically connected to the first electrode 321 and the second electrode 322 . According to various embodiments, the electrocardiogram sensor 320 is not limited to the above, and may further include at least one electrode in addition to the first electrode 321 , the second electrode 322 , and the third electrode 323 . have.

According to an embodiment, the first electrode 321 (eg, INP electrode), the second electrode 322 (eg, INM electrode), and the third electrode 323 (RLD electrode) included in the electrocardiogram sensor 320 . may be disposed in various positions of the wearable device 100 . For example, the first electrode 321 may be disposed on a side surface or an upper surface of the housing 110 . The second electrode 322 and the third electrode 323 may be disposed on the lower surface of the housing 110 . According to an embodiment, the first electrode 321 may be disposed on the display 350 , and the second electrode 322 and the third electrode 323 may be disposed on a part of the housing 110 . According to an embodiment, at least one electrode included in the electrocardiogram sensor 320 is not limited to the described example and may be replaced with each other. According to an embodiment, the capacitance correction circuit 330 may be electrically connected to the electrocardiogram sensor 320 and the processor 310 . According to an embodiment, the capacitance correction circuit 330 may be electrically connected to at least some of the signal input terminals of the electrocardiogram sensor 320 . For example, the capacitance correction circuit 330 may be electrically connected to at least one of the first electrode 321 and the second electrode 322 .

According to an embodiment, the capacitance correction circuit 330 may include various types of capacitors or at least one variable capacitor. The capacitance correction circuit 330 may change a capacitance value by using a capacitor included in the capacitance correction circuit 330 . According to an embodiment, the capacitance correction circuit 330 may change the capacitance value based on a control signal output from the processor 310 . Accordingly, the impedance of the terminal electrically connected to the capacitance correction circuit 330 may be changed. According to various embodiments, the capacitance correction circuit 330 changes the capacitance value based on the control signal will be described below with reference to FIGS. 4A and 4B .

According to an embodiment, the memory 340 may store various data acquired or used by at least one component (eg, the processor 310 ) of the wearable device 100 . For example, the memory 340 processes data or controls the components of the wearable device 100 in order for the processor 310 to perform an operation of the wearable device 100 when executed. can be saved

According to an embodiment, when the wearable device 100 is worn on the user's body and the ECG signal is measured, the memory 340 may store data used by the processor 310 to measure the ECG signal. According to an embodiment, the memory 340 may store the user's personal information, such as the user's age, height, and weight. Also, according to an embodiment, the memory 340 may store control data for the processor 310 to control the capacitance correction circuit 330 . According to an embodiment, the processor 310 may generate a control signal for controlling the capacitance correction circuit 330 using the control data.

According to an embodiment, the memory 340 may store the user's biometric data acquired by the electrocardiogram sensor 320 . For example, the memory 340 may store electrocardiogram signal data obtained by the electrocardiogram sensor 320 .

according to various embodiments. The memory 340 may be configured as one of various types of non-volatile memories. For example, the memory 340 may be configured as a programmable read only memory (PROM), and according to various embodiments, the memory 340 may be configured as an erasable ROM (EPROM) and/or a one time PROM (OTP). can

According to an embodiment, the display 350 (eg, the display 120 of FIG. 2 ) may display various contents. For example, display 350 may display text, images, video, icons, and/or symbols, and the like. According to an embodiment, the shape of the display 350 may be a shape corresponding to the shape of the housing 110 , and may have various shapes such as a circle, an oval, or a polygon.

According to an embodiment, the display 350 may be disposed adjacent to or coupled to a touch sensing circuit and/or a pressure sensor capable of measuring the intensity (pressure) of the touch. According to an embodiment, the display 350 may display the user's biometric information according to a command from the processor 310 . For example, the user's biometric information may be displayed as numerical values and/or graphs. According to an embodiment, the display 350 may provide a guide on a method of measuring biometric information according to a command from the processor 310 . For example, the display 350 may provide a notification about capacitance correction as an operation for measuring an electrocardiogram according to a command of the processor 310 .

According to an embodiment, the wearable device 100 may acquire the ECG signal while being worn on a part of the user's body (eg, wrist) through the strap 130 . According to an embodiment, the processor 310 may acquire an electrocardiogram signal through the electrocardiogram sensor 320 . According to an embodiment, the processor 310 may obtain an electrocardiogram signal from the electrocardiogram sensor 320 having a corrected capacitance value by controlling the capacitance correction circuit 330 . For example, when a request for measuring an ECG signal is received from a user of the wearable device 100 , the processor 310 may read control data stored in the memory 340 . According to an embodiment, the processor 310 may generate a control signal based on the control data. For example, the processor 310 may generate a control signal by converting a digital signal for control data into an analog signal using a digital-analog converter (DAC) included in the processor 310 . have.

According to an embodiment, the processor 310 may correct the capacitance value of the capacitance correction circuit 330 through the generated control signal. Accordingly, the impedance of the electrocardiogram sensor 320 electrically connected to the capacitance correction circuit 330 may be changed. For example, the capacitance value of at least one of the first electrode 321 and the second electrode 322 of the electrocardiogram sensor 320 may be changed.

According to an embodiment, the processor 310 may acquire an ECG signal using the ECG sensor 320 in a state in which the capacitance value of the capacitance correction circuit 330 is corrected based on the control signal. For example, the processor 310 generates an electrocardiogram signal in a state in which the capacitance value of at least one of the first electrode 321 and the second electrode 322 is changed based on the correction of the capacitance value of the capacitance correction circuit 330 . can be obtained According to an embodiment, the processor 310 may analyze the acquired ECG signal to diagnose the health state of the user of the wearable device 100 .

The wearable device 100 according to an embodiment includes an electrocardiogram sensor 320 including a first electrode 321 and a second electrode 322 distinct from the first electrode 321 , and the first electrode 321 . ) or a capacitance correction circuit 330 electrically connected to at least one of the second electrode 322 and a memory 340 for storing control data for correcting a capacitance value of the capacitance correction circuit 330 and the electrocardiogram sensor and at least one processor (310) electrically connected to (320) and the capacitance correction circuit (330), wherein the at least one processor generates a control signal based on the control data, and based on the control signal Accordingly, an electrocardiogram signal may be obtained using the electrocardiogram sensor in a state in which the capacitance value of the capacitance correction circuit is corrected.

The wearable device 100 according to an embodiment includes a display 350 , an upper surface disposed to surround the display 350 , a lower surface disposed on the opposite surface of the display, and a space between the upper surface and the lower surface. a housing including a side portion surrounding It can be placed on the side.

The at least one processor 310 according to an embodiment may control the display 350 to display a screen including a notification for correction for ECG measurement.

The capacitance correction circuit 330 according to an embodiment includes at least one variable capacitor and a ground part, and the variable capacitor may change a capacitance value based on the control signal.

According to an embodiment, the capacitance correction circuit 330 includes at least one capacitor and a multiplexer electrically connectable to the at least one capacitor, and the multiplexer is based on the control signal, among the at least one capacitor. One may be selected and electrically connected to at least one of the first electrode 321 and the second electrode 322 .

According to an embodiment, the at least one processor 310 includes a digital-to-analog converter, and the digital-to-analog converter receives a digital signal corresponding to the control data from the at least one processor 310, The received digital signal may be converted into an analog signal, and the converted analog signal may be transmitted to the capacitance correction circuit 330 .

According to an embodiment, the at least one processor 310 acquires at least one ECG signal using the ECG sensor 320 while changing the capacitance value of the capacitance correction circuit 330, and the obtained The control data may be determined based on a common signal included in at least one ECG signal.

The at least one processor 310 according to an embodiment stores the control data in the memory 340 , and the memory 340 may be a non-volatile memory.

According to an embodiment, the capacitance correction circuit 330 may be electrically connected to an electrode having a smaller capacitance value among the first electrode 321 or the second electrode 322 .

In the operating method of the wearable device 100 including a memory 340 for storing control data for correcting a capacitance value of the capacitance correction circuit 330 according to an embodiment, the operation of reading the control data, the reading generating a control signal based on the control data, correcting the capacitance value by controlling the capacitance correcting circuit 330 based on the control signal, and the capacitance correcting circuit 330 having the capacitance value corrected; It may include an operation of acquiring an electrocardiogram signal by using the electrocardiogram sensor 320 electrically connected.

The wearable device 100 according to an embodiment includes a digital-to-analog converter, and the generating of the control signal includes receiving a digital signal for the control data and converting the received digital signal into an analog signal. It can include actions.

The wearable device 100 according to an embodiment includes a display 350 , an upper surface disposed to surround the display 350 , a lower surface disposed opposite to the display 350 , and the upper and lower surfaces of the wearable device 100 . a housing including a side portion surrounding the space between the surfaces, wherein the electrocardiogram sensor 320 includes a first electrode 321 and a second electrode 322 distinct from the first electrode 321, The first electrode 321 may be disposed on a lower surface of the housing or the display 350 , and the second electrode 322 may be disposed on a side surface or an upper surface of the housing.

According to an embodiment, the capacitance correction circuit 330 may be electrically connected to an electrode having a smaller capacitance value among the first electrode 321 or the second electrode 322 .

According to an embodiment, the capacitance correction circuit 330 includes at least one variable capacitor and a ground part, and the operation of correcting the capacitance value includes an area or an input of the at least one variable capacitor based on the control signal. It may include an operation of changing the capacitance value by changing the voltage.

The capacitance correction circuit 330 according to an embodiment includes at least one capacitor and a multiplexer electrically connectable to the at least one capacitor, and the operation of correcting the capacitance value is performed by the multiplexer based on the control signal. to select one of the at least one capacitor and electrically connect it to the electrocardiogram sensor.

According to an embodiment, the wearable device 100 includes a digital-to-analog converter, the digital-to-analog converter receives a digital signal corresponding to the control data, and the digital-to-analog converter receives the digital signal. It may include converting a signal into an analog signal and transmitting the converted analog signal to the capacitance correction circuit 330 .

In the method of controlling the wearable device 100 including the electrocardiogram sensor 320 according to an embodiment, an electrocardiogram signal using the first electrode 321 and the second electrode 322 of the electrocardiogram sensor 320 . an operation of changing the capacitance value of the capacitance correction circuit 330 connected to at least one of the first electrode 321 or the second electrode 322 within a set range while acquiring The operation of obtaining at least one output signal output from the electrocardiogram sensor 320, the capacitance correction circuit 330 to have a capacitance value that minimizes the magnitude of a common signal included in the at least one output signal It may include an operation of determining control data to be controlled and an operation of storing the control data in the memory 340 of the wearable device 100 .

The capacitance correction circuit 330 includes at least one variable capacitor and a ground part, and the operation of changing the capacitance value may include changing the area or input voltage of the at least one variable capacitor within the set range to change the capacitance value. It may include an action to change.

The capacitance correction circuit 330 according to an embodiment includes at least one capacitor and a multiplexer electrically connectable to the at least one capacitor, and the operation of changing the capacitance value includes the multiplexer among the at least one capacitor. and changing a capacitor electrically connected to the .

In an embodiment, the determining of the control data may include obtaining a magnitude of at least one common signal included in each of the at least one output signal while changing the capacitance value within the set range, the obtained An operation of determining the minimum common signal among the magnitudes of at least one common signal and an operation of determining control data for controlling the capacitance correction circuit 330 to have a capacitance value corresponding to the minimum common signal as a result of the determination may include

4A is a diagram illustrating a capacitance correction circuit including a variable capacitor in a wearable device according to an exemplary embodiment. 4B is a diagram illustrating a capacitance correction circuit including a plurality of capacitors in a wearable device according to an exemplary embodiment.

Referring to FIG. 4A , the wearable device 100 may further include a filter 430 and a digital-to-analog converter 400 in addition to the configuration described with reference to FIG. 3 . According to an embodiment, the first capacitance correction circuit 410 (eg, the capacitance correction circuit 330 of FIG. 3 ) may include a ground part and a variable capacitor. According to another embodiment, the second capacitance correction circuit 420 (eg, the capacitance correction circuit 330 of FIG. 3 ) may include a multiplexer (MUX) and at least one capacitor (eg, c1 to c4). have.

Referring to FIG. 4B , in the configuration included in FIG. 4A , the wearable device 100 may include a second capacitance correction circuit 420 in place of the first capacitance correction circuit 410 . According to various embodiments, the description related to the first capacitance correction circuit 410 may also be applied to the second capacitance correction circuit 420 .

According to an embodiment, the filter 430 may be electrically connected to the first electrode 321 , the second electrode 322 , and the electrocardiogram sensor 320 . According to various embodiments, the structural position of the filter 430 may be changed. For example, the filter 430 may be positioned between the first electrode 321 and the second electrode 322 and the electrocardiogram sensor 320 .

According to an embodiment, the digital-to-analog converter 400 may be included in the processor 310 . Also, the digital-to-analog converter 400 may be electrically connected to the capacitance correction circuit 330 .

According to an embodiment, the processor 310 may control the capacitance value of the first capacitance correction circuit 410 to measure the ECG signal. According to an embodiment, the processor 310 may read control data stored in the memory 340 . The content of generating control data according to an embodiment will be described later with reference to FIGS. 7 and 8 . According to an embodiment, the processor 310 may generate a control signal for correcting the capacitance value of the capacitance correction circuit 330 based on read control data. For example, the processor 310 may generate a control signal for correcting the capacitance value of the first capacitance correction circuit 410 based on the read control data.

According to another embodiment, the processor 310 may control the capacitance value of the second capacitance correction circuit 410 to measure the ECG signal. According to an embodiment, the processor 310 may generate a control signal for correcting the capacitance value of the second capacitance correction circuit 420 based on the read control data.

According to an embodiment, the processor 310 may generate a control signal using the digital-to-analog converter 400 . For example, the digital-to-analog converter 400 may receive a digital signal corresponding to control data and convert the received digital signal into an analog signal. According to an embodiment, the digital-to-analog converter 400 may transmit an analog signal to the first capacitance correction circuit 410 as a control signal. According to another embodiment, the digital-to-analog converter 400 may transmit an analog signal to the second capacitance correction circuit 420 as a control signal.

The first capacitance correction circuit 410 according to an embodiment may be electrically connected to at least one of the first electrode 321 and the second electrode 322 . According to an embodiment, the first capacitance correction circuit 410 is an electrode having a low capacitance value among the electrodes (eg, the first electrode 321 and the second electrode 322 ) corresponding to the input terminal of the electrocardiogram sensor 320 . can be electrically connected to For example, when the capacitance of the second electrode 322 among the first electrode 321 and the second electrode 322 is low, the first capacitance correction circuit 410 may be electrically connected to the second electrode 322 . have. The first capacitance correction circuit 410 according to an embodiment may be electrically connected to at least one of the first electrode 321 and the second electrode 322 to correct a difference in capacitance values between the two electrodes. According to another embodiment, when the wearable device 100 includes the second capacitance correction circuit 420 , the second capacitance correction circuit 420 performs the above-described operation with respect to the first capacitance correction circuit 410 . can be done

According to an embodiment, the first capacitance correction circuit 410 may change the capacitor value based on the received control signal. For example, the first capacitance correction circuit 410 may correct the capacitance value by adjusting a cross-sectional area of a capacitor included in the variable capacitor or a voltage applied to the capacitor based on the control signal. According to an embodiment, as the capacitance value is changed by the first capacitance correction circuit 410 , the impedance difference between the first electrode 321 and the second electrode 322 may decrease.

According to another embodiment, the second capacitance correction circuit 420 may change the capacitor value based on the received control signal. According to an embodiment, the second capacitance correction circuit 420 may include a multiplexer and at least one capacitor. For example, the second capacitance correction circuit 420 may include first to fourth capacitors c1 to c4 . According to an embodiment, in the second capacitance correction circuit 420 , the multiplexer selects one of the at least one capacitor based on the control signal, so that the selected capacitor and the first electrode 321 or the second electrode 322 are selected. It can be electrically connected to one. For example, the multiplexer of the second capacitance correction circuit 420 may select the second capacitor c2 based on the control signal and electrically connect the second capacitor c2 to the second electrode 322 . According to various embodiments, when the control signal corresponding to the control data is changed because the control data is changed, the second capacitance correction circuit 420 may change the capacitance value by changing the capacitor selected from the multiplexer. According to an embodiment, as the capacitance value is changed by the second capacitance correction circuit 420 , the impedance difference between the first electrode 321 and the second electrode 322 may decrease.

According to an embodiment, the processor 310 changes the capacitance value of the first capacitance correction circuit 410 or the second capacitance correction circuit 420 based on the control signal. data can be obtained. According to an embodiment, when the wearable device 100 is worn on the user's body, the ECG signal may be input to the ECG sensor 320 through the first electrode 321 and the second electrode 322 .

According to an embodiment, the ECG signal input through the first electrode 321 and the second electrode 322 may pass through the filter 430 and be transmitted to the ECG sensor 320 . For example, the filter 430 may filter the ECG signal input through the first electrode 321 and the second electrode 322 and transmit it to the ECG sensor 320 . According to various embodiments, the filter 430 may remove various types of noise included in the ECG signal. According to an embodiment, the filter 430 may remove noise by limiting the frequency band of the ECG signal input through the first electrode 321 and the second electrode 322 . For example, the filter 430 may include a low-pass filter (LPF). Therefore, a high signal frequency band (50 Hz to 150 Hz) can be separated compared to a frequency band (eg, 0.5 Hz to 40 Hz) of the ECG signal. According to various embodiments, the filter 430 may use various signal separation techniques (eg, least mean square (LMS) and root mean square (RMS)) to filter a component of a low frequency band.

According to an embodiment, the processor 310 is a wearable device based on an electrocardiogram signal output from the electrocardiogram sensor 320 in a state in which the capacitance value of the first capacitance correction circuit 410 or the second capacitance correction circuit 420 is corrected. An electrocardiogram of a user of the device 100 may be measured.

5 is a diagram for describing a common signal component included in an electrocardiogram signal acquired through a wearable device according to an exemplary embodiment.

5 is a diagram illustrating a first common signal component 510 included in the first ECG signal obtained by the processor 310 through the ECG sensor 320 and a second common signal component 520 included in the second ECG signal. It is a graph representing In the graph of the first common signal component 510 and the second common signal component 520 according to an exemplary embodiment, an X axis is a time axis, and a Y axis is a voltage indicating a magnitude of an ECG signal according to time.

According to an embodiment, the first common signal component 510 is a signal measured based on an electrocardiogram signal measured using the wearable device 100 that does not include the capacitance correction circuit 330 . A graph representing the first common signal component 510 may represent a common signal component divided into a first section 511 , a second section 512 , and a third section 513 . According to an embodiment, the first section 511 , the second section 512 , and the third section 513 of the graph representing the first common signal component 510 have a set frequency of the digital-to-analog converter 400 , respectively. It may represent a common signal component according to the first frequency (eg, 10 Hz), the second frequency (eg, 20 Hz), and the third frequency (40 Hz). According to an embodiment, referring to the graph showing the first common signal component 510, when the capacitance value is not corrected through the capacitance correction circuit 330, the ECG signal includes many common signal components. have. This may cause deterioration of the ECG signal measurement.

According to another embodiment, the second common signal component 520 is a signal measured based on an electrocardiogram signal measured using the wearable device 100 including the capacitance correction circuit 330 . A graph representing the second common signal component 520 may represent a common signal component divided into a fourth section 521 , a fifth section 522 , and a sixth section 523 . According to an embodiment, the fourth section 521 , the fifth section 522 , and the sixth section 523 of the graph representing the second common signal component 520 are the digital-to-analog converter 400 set frequency, respectively. It may represent a common signal component according to the first frequency (eg, 10 Hz), the second frequency (eg, 20 Hz), and the third frequency (40 Hz). According to an embodiment, referring to the graph representing the first common signal component 520 , when the capacitance value is corrected through the capacitance correction circuit 330 , compared with the first ECG signal, a small amount of the ECG signal is A common signal component may be included and output. This may improve the accuracy of ECG signal measurement.

6 is a flowchart 600 for explaining a content of correcting a capacitance value through a wearable device according to an exemplary embodiment.

Referring to FIG. 6 , the processor 310 may read control data for correcting the capacitance value from the memory 340 in operation 601 to measure the ECG signal. According to an embodiment, the memory 340 may store control data for correcting the capacitance value. According to various embodiments, the control data for correcting the capacitance value may include various values.

According to an embodiment, the processor 310 may generate a control signal based on the control data read in operation 603 . According to an embodiment, the processor 310 may generate a control signal corresponding to the control data using the digital-to-analog converter 400 as described above.

According to an embodiment, the processor 310 may correct the capacitance value of the capacitance correction circuit 330 based on the control signal in operation 605 . According to an embodiment, the processor 310 may generate a control signal using the digital-to-analog converter 400 and transmit the generated control signal to the capacitance correction circuit 330 . For example, the processor 310 may transmit a digital signal corresponding to the control data to the digital-to-analog converter 400 . At this time, the digital signal is converted into an analog signal through the digital-to-analog converter 400 . That is, the processor 310 may obtain an analog signal by passing a digital signal corresponding to the control data through the digital-to-analog converter 400 . According to an embodiment, the analog signal may correspond to the above-described control signal. According to an embodiment, the processor 310 may transmit the generated control signal to the capacitance correction circuit 330 . Accordingly, the capacitance correction circuit 330 receiving the control signal may change the capacitance value based on the received control signal.

According to an embodiment, in operation 607 , the processor 310 may acquire an electrocardiogram by using the electrocardiogram sensor 320 electrically connected to the capacitance correction circuit 330 having a corrected capacitance value. According to an embodiment, as the capacitance value of the capacitance correction circuit 330 is corrected, the capacitance value of the input terminal connected to the capacitance correction circuit 330 may be changed. For example, when the capacitance correction circuit 330 is connected to the second electrode 312 , the impedance of the circuit connected to the second electrode 312 may be changed by changing the capacitance value connected to the second electrode 312 . have. According to an embodiment, the electrocardiogram sensor 320 receives an electrocardiogram signal through the first electrode 311 and the second electrode 312 in a state in which the capacitance value of the second electrode 312 is changed, and the processor 310 . can be output as

According to an embodiment, the processor 310 may measure the ECG of the user of the wearable device 100 based on the ECG signal obtained through the ECG sensor 320 .

7 is a flowchart 700 for explaining contents of storing control data for correcting a capacitance value in a wearable device according to an exemplary embodiment.

Referring to FIG. 7 , in operation 701 , the processor 310 acquires an electrocardiogram signal using the first electrode 321 and the second electrode 322 while acquiring the first electrode 321 or the second electrode 322 . ), the capacitance value of the capacitance correction circuit 330 connected to at least one may be changed within a set range. According to an embodiment, the processor 310 may acquire at least one output signal output from the electrocardiogram sensor while the capacitance value is controlled (corrected). For example, the processor 310 may change the capacitance value of the capacitance correction circuit 330 and repeatedly perform an operation of acquiring an output signal output from the electrocardiogram sensor based on the changed capacitance value.

According to an embodiment, in operation 705 , the processor 310 determines control data for controlling the capacitance correction circuit 330 to have a capacitance value that minimizes the magnitude of the common signal included in the at least one output signal. can According to various embodiments, the operation of the processor 310 determining the control data for controlling the capacitance correction circuit 330 to have a capacitance value that minimizes the common signal will be described in detail below with reference to FIG. 8 .

According to an embodiment, the processor 310 may store the determined control data in the memory 340 of the wearable device 100 in operation 707 . According to various embodiments, the control data may include at least one value.

8 is a flowchart 800 for explaining the content of determining control data for correcting a capacitance value in a wearable device according to an embodiment.

In the following embodiment, each operation may be sequentially performed, but is not necessarily performed sequentially. For example, the order of each operation may be changed, and at least two operations may be performed in parallel.

Referring to FIG. 8 , in operation 801 , the processor 310 uses the first electrode 321 and the second electrode 322 of the ECG sensor while the wearable device 100 is worn on the user's body to receive an ECG signal. can be obtained. According to an embodiment, the ECG signal input to determine the control data may be temporarily stored in the memory 340 and referenced repeatedly while the capacitance value of the capacitance correction circuit 330 is corrected.

According to an embodiment, in operation 803 , the processor 310 may generate a control signal for controlling the capacitance correction circuit 330 within a set range. For example, the processor 310 may generate a control signal for controlling the capacitance correction circuit 330 within a capacitance value that may be changed through the capacitance correction circuit 330 . That is, the set range may correspond to a changeable capacitance value range of the capacitance correction circuit 330 .

According to an embodiment, the processor 310 may correct the capacitance value of the capacitance correction circuit 330 through the generated control signal in operation 805 . According to an embodiment, the capacitance correction circuit 330 may change the capacitance value according to the control signal by performing the operation described with reference to FIGS. 4A and 4B . According to an embodiment, the processor 310 may obtain an output signal output from the electrocardiogram sensor 320 based on the corrected capacitance value.

According to an embodiment, the processor 310 may determine whether the magnitude of the common signal included in the output signal is the minimum based on the corrected capacitance value. According to various embodiments, the processor 310 may determine whether the magnitude of the common signal included in the output signal is the minimum by using various conventional algorithms. For example, the processor 310 may repeatedly perform operations 803 to 807 to change the capacitance value of the capacitance correction circuit 330 within a set range. The processor 310 may repeatedly acquire an output signal output from the electrocardiogram sensor 320 based on the corrected capacitance value. According to an embodiment, the processor 310 may determine an output signal having the smallest magnitude among at least one common signal included in each of the at least one repeatedly obtained output signal. According to an embodiment, the processor 310 may determine a control signal corresponding to an output signal having the minimum magnitude of the common signal.

According to an embodiment, the processor 310 may store control data corresponding to the control signal in the memory 340 in operation 811 .

9 is a diagram illustrating an electrocardiogram measurement UI displayed on a display in a wearable device according to an exemplary embodiment.

Referring to FIG. 9 , the wearable device 100 according to an embodiment may measure the user's biometric information through the electrocardiogram sensor 320 . According to an embodiment, when it is determined that the user's biometric information is being measured normally, the processor 310 may output a guide message through the display 350 . For example, the processor 310 may control the display 350 to output a guide message (eg, “the ECG signal is being measured.”) to inform that the user's biometric information is being measured normally. As another example, the processor 310 may control the display 350 to output a guide message for notifying that the input terminal of the ECG signal is being corrected in order to measure the user's biometric information.

According to an embodiment, the processor 310 may control the display 350 to simultaneously display the ECG signal. For example, the processor 310 may display the ECG signal as a numerical value and/or a graph through the display 350 .

According to the above-described embodiment, the wearable device 100 may support the user to intuitively recognize the measurement result by providing the user's biometric information as a UI including numerical values and/or graphs.

According to the above-described embodiment, the wearable device 100 indicates that biometric information is normally measured through the display 350 , but it is not limited to the display 350 and various components of the wearable device 100 (eg, : You can output guidance through speakers, motors, etc.).

10 is a block diagram of an electronic device in a network environment according to an embodiment.

10 is a block diagram of an electronic device 1001 in a network environment 1000 according to various embodiments of the present disclosure. Referring to FIG. 10 , in the network environment 1000 , the electronic device 1001 communicates with the electronic device 1002 through a first network 1098 (eg, a short-range wireless communication network) or a second network 1099 . It may communicate with at least one of the electronic device 1004 and the server 1008 through (eg, a long-distance wireless communication network). According to an embodiment, the electronic device 1001 may communicate with the electronic device 1004 through the server 1008 . According to an embodiment, the electronic device 1001 includes a processor 1020 , a memory 1030 , an input module 1050 , a sound output module 1055 , a display module 1060 , an audio module 1070 , and a sensor module ( 1076), interface 1077, connection terminal 1078, haptic module 1079, camera module 1080, power management module 1088, battery 1089, communication module 1090, subscriber identification module 1096 , or an antenna module 1097 . In some embodiments, at least one of these components (eg, the connection terminal 1078 ) may be omitted or one or more other components may be added to the electronic device 1001 . In some embodiments, some of these components (eg, sensor module 1076 , camera module 1080 , or antenna module 1097 ) are integrated into one component (eg, display module 1060 ). can be

The processor 1020, for example, executes software (eg, a program 1040) to execute at least one other component (eg, a hardware or software component) of the electronic device 1001 connected to the processor 1020. It can control and perform various data processing or operations. According to one embodiment, as at least part of data processing or computation, the processor 1020 converts commands or data received from other components (eg, the sensor module 1076 or the communication module 1090) to the volatile memory 1032 . may store the command or data stored in the volatile memory 1032 , and store the result data in the non-volatile memory 1034 . According to one embodiment, the processor 1020 is a main processor 1021 (eg, central processing unit or application processor) or a secondary processor 1023 (eg, a graphics processing unit, a neural network processing unit) a neural processing unit (NPU), an image signal processor, a sensor hub processor, or a communication processor). For example, when the electronic device 1001 includes the main processor 1021 and the auxiliary processor 1023 , the auxiliary processor 1023 uses less power than the main processor 1021 or is set to be specialized for a specified function. can The auxiliary processor 1023 may be implemented separately from or as a part of the main processor 1021 .

The coprocessor 1023 is, for example, on behalf of the main processor 1021 while the main processor 1021 is in an inactive (eg, sleep) state, or the main processor 1021 is active (eg, executing an application). ), together with the main processor 1021, at least one of the components of the electronic device 1001 (eg, the display module 1060, the sensor module 1076, or the communication module 1090) It is possible to control at least some of the related functions or states. According to one embodiment, coprocessor 1023 (eg, image signal processor or communication processor) may be implemented as part of another functionally related component (eg, camera module 1080 or communication module 1090). have. According to an embodiment, the auxiliary processor 1023 (eg, a neural network processing unit) may include a hardware structure specialized for processing an artificial intelligence model. Artificial intelligence models can be created through machine learning. Such learning may be performed, for example, in the electronic device 1001 itself on which the artificial intelligence model is performed, or may be performed through a separate server (eg, the server 1008). The learning algorithm may include, for example, supervised learning, unsupervised learning, semi-supervised learning, or reinforcement learning, but in the above example not limited The artificial intelligence model may include a plurality of artificial neural network layers. Artificial neural networks include deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), restricted boltzmann machines (RBMs), deep belief networks (DBNs), bidirectional recurrent deep neural networks (BRDNNs), It may be one of deep Q-networks or a combination of two or more of the above, but is not limited to the above example. The artificial intelligence model may include, in addition to, or alternatively, a software structure in addition to the hardware structure.

The memory 1030 may store various data used by at least one component of the electronic device 1001 (eg, the processor 1020 or the sensor module 1076 ). The data may include, for example, input data or output data for software (eg, the program 1040 ) and instructions related thereto. The memory 1030 may include a volatile memory 1032 or a non-volatile memory 1034 .

The program 1040 may be stored as software in the memory 1030 , and may include, for example, an operating system 1042 , middleware 1044 , or an application 1046 .

The input module 1050 may receive a command or data to be used in a component (eg, the processor 1020 ) of the electronic device 1001 from the outside (eg, a user) of the electronic device 1001 . The input module 1050 may include, for example, a microphone, a mouse, a keyboard, a key (eg, a button), or a digital pen (eg, a stylus pen).

The sound output module 1055 may output a sound signal to the outside of the electronic device 1001 . The sound output module 1055 may include, for example, a speaker or a receiver. The speaker can be used for general purposes such as multimedia playback or recording playback. The receiver can be used to receive incoming calls. According to one embodiment, the receiver may be implemented separately from or as part of the speaker.

The display module 1060 may visually provide information to the outside (eg, a user) of the electronic device 1001 . The display module 1060 may include, for example, a display, a hologram device, or a projector and a control circuit for controlling the corresponding device. According to an embodiment, the display module 1060 may include a touch sensor configured to sense a touch or a pressure sensor configured to measure the intensity of a force generated by the touch.

The audio module 1070 may convert a sound into an electric signal or, conversely, convert an electric signal into a sound. According to an embodiment, the audio module 1070 acquires a sound through the input module 1050 or an external electronic device (eg, a sound output module 1055 ) directly or wirelessly connected to the electronic device 1001 . The electronic device 1002) (eg, a speaker or headphones) may output a sound.

The sensor module 1076 detects an operating state (eg, power or temperature) of the electronic device 1001 or an external environmental state (eg, user state), and generates an electrical signal or data value corresponding to the sensed state. can do. According to an embodiment, the sensor module 1076 may include, for example, a gesture sensor, a gyro sensor, a barometric pressure sensor, a magnetic sensor, an acceleration sensor, a grip sensor, a proximity sensor, a color sensor, an IR (infrared) sensor, a biometric sensor, It may include a temperature sensor, a humidity sensor, or an illuminance sensor.

The interface 1077 may support one or more specified protocols that may be used for the electronic device 1001 to directly or wirelessly connect with an external electronic device (eg, the electronic device 1002 ). According to an embodiment, the interface 1077 may include, for example, a high definition multimedia interface (HDMI), a universal serial bus (USB) interface, an SD card interface, or an audio interface.

The connection terminal 1078 may include a connector through which the electronic device 1001 can be physically connected to an external electronic device (eg, the electronic device 1002 ). According to an embodiment, the connection terminal 1078 may include, for example, an HDMI connector, a USB connector, an SD card connector, or an audio connector (eg, a headphone connector).

The haptic module 1079 may convert an electrical signal into a mechanical stimulus (eg, vibration or movement) or an electrical stimulus that the user can perceive through tactile or kinesthetic sense. According to an embodiment, the haptic module 1079 may include, for example, a motor, a piezoelectric element, or an electrical stimulation device.

The camera module 1080 may capture still images and moving images. According to one embodiment, the camera module 1080 may include one or more lenses, image sensors, image signal processors, or flashes.

The power management module 1088 may manage power supplied to the electronic device 1001 . According to an embodiment, the power management module 1088 may be implemented as, for example, at least a part of a power management integrated circuit (PMIC).

The battery 1089 may supply power to at least one component of the electronic device 1001 . According to one embodiment, battery 1089 may include, for example, a non-rechargeable primary cell, a rechargeable secondary cell, or a fuel cell.

The communication module 1090 is a direct (eg, wired) communication channel or a wireless communication channel between the electronic device 1001 and an external electronic device (eg, the electronic device 1002, the electronic device 1004, or the server 1008). It can support establishment and communication performance through the established communication channel. The communication module 1090 may include one or more communication processors that operate independently of the processor 1020 (eg, an application processor) and support direct (eg, wired) communication or wireless communication. According to one embodiment, the communication module 1090 is a wireless communication module 1092 (eg, a cellular communication module, a short-range wireless communication module, or a global navigation satellite system (GNSS) communication module) or a wired communication module 1094 (eg, : It may include a local area network (LAN) communication module, or a power line communication module). A corresponding communication module among these communication modules is a first network 1098 (eg, a short-range communication network such as Bluetooth, wireless fidelity (WiFi) direct, or infrared data association (IrDA)) or a second network 1099 (eg, legacy). It may communicate with the external electronic device 1004 through a cellular network, a 5G network, a next-generation communication network, the Internet, or a computer network (eg, a telecommunication network such as a LAN or a WAN). These various types of communication modules may be integrated into one component (eg, a single chip) or may be implemented as a plurality of components (eg, multiple chips) separate from each other. The wireless communication module 1092 uses subscriber information (eg, International Mobile Subscriber Identifier (IMSI)) stored in the subscriber identification module 1096 within a communication network, such as the first network 1098 or the second network 1099 . The electronic device 1001 may be identified or authenticated.

The wireless communication module 1092 may support a 5G network after a 4G network and a next-generation communication technology, for example, a new radio access technology (NR). NR access technology includes high-speed transmission of high-capacity data (eMBB (enhanced mobile broadband)), minimization of terminal power and access to multiple terminals (mMTC (massive machine type communications)), or high reliability and low latency (URLLC (ultra-reliable and low-latency) -latency communications)). The wireless communication module 1092 may support a high frequency band (eg, mmWave band) to achieve a high data rate. The wireless communication module 1092 uses various technologies for securing performance in a high-frequency band, for example, beamforming, massive multiple-input and multiple-output (MIMO), all-dimensional multiplexing. It may support technologies such as full dimensional MIMO (FD-MIMO), an array antenna, analog beam-forming, or a large scale antenna. The wireless communication module 1092 may support various requirements specified in the electronic device 1001 , an external electronic device (eg, the electronic device 1004 ), or a network system (eg, the second network 1099 ). According to an embodiment, the wireless communication module 1092 may include a peak data rate (eg, 20 Gbps or more) for realizing eMBB, loss coverage (eg, 164 dB or less) for realizing mMTC, or U-plane latency for realizing URLLC ( Example: Downlink (DL) and uplink (UL) each 0.5 ms or less, or round trip 1 ms or less) can be supported.

The antenna module 1097 may transmit or receive a signal or power to the outside (eg, an external electronic device). According to an embodiment, the antenna module 1097 may include an antenna including a conductor formed on a substrate (eg, a PCB) or a radiator formed of a conductive pattern. According to an embodiment, the antenna module 1097 may include a plurality of antennas (eg, an array antenna). In this case, at least one antenna suitable for a communication scheme used in a communication network such as the first network 1098 or the second network 1099 is connected from the plurality of antennas by, for example, the communication module 1090 . can be selected. A signal or power may be transmitted or received between the communication module 1090 and an external electronic device through the selected at least one antenna. According to some embodiments, other components (eg, a radio frequency integrated circuit (RFIC)) other than the radiator may be additionally formed as a part of the antenna module 1097 .

According to various embodiments, the antenna module 1097 may form a mmWave antenna module. According to one embodiment, the mmWave antenna module comprises a printed circuit board, an RFIC disposed on or adjacent to a first side (eg, bottom side) of the printed circuit board and capable of supporting a designated high frequency band (eg, mmWave band); and a plurality of antennas (eg, an array antenna) disposed on or adjacent to a second side (eg, top or side) of the printed circuit board and capable of transmitting or receiving signals of the designated high frequency band. can do.

At least some of the components are connected to each other through a communication method between peripheral devices (eg, a bus, general purpose input and output (GPIO), serial peripheral interface (SPI), or mobile industry processor interface (MIPI)) and a signal ( e.g. commands or data) can be exchanged with each other.

According to an embodiment, a command or data may be transmitted or received between the electronic device 1001 and the external electronic device 1004 through the server 1008 connected to the second network 1099 . Each of the external electronic devices 1002 and 1004 may be the same as or different from the electronic device 1001 . According to an embodiment, all or a part of operations executed by the electronic device 1001 may be executed by one or more external electronic devices 1002 , 1004 , or 1008 . For example, when the electronic device 1001 needs to perform a function or service automatically or in response to a request from a user or other device, the electronic device 1001 performs the function or service by itself instead of executing the function or service itself. Alternatively or additionally, one or more external electronic devices may be requested to perform at least a part of the function or the service. One or more external electronic devices that have received the request may execute at least a part of the requested function or service, or an additional function or service related to the request, and transmit a result of the execution to the electronic device 1001 . The electronic device 1001 may process the result as it is or additionally and provide it as at least a part of a response to the request. For this purpose, for example, cloud computing, distributed computing, mobile edge computing (MEC), or client-server computing technology may be used. The electronic device 1001 may provide an ultra-low latency service using, for example, distributed computing or mobile edge computing. In another embodiment, the external electronic device 1004 may include an Internet of things (IoT) device. The server 1008 may be an intelligent server using machine learning and/or neural networks. According to an embodiment, the external electronic device 1004 or the server 1008 may be included in the second network 1099 . The electronic device 1001 may be applied to an intelligent service (eg, smart home, smart city, smart car, or health care) based on 5G communication technology and IoT-related technology.

The electronic device according to various embodiments disclosed in this document may have various types of devices. The electronic device may include, for example, a portable communication device (eg, a smart phone), a computer device, a portable multimedia device, a portable medical device, a camera, a wearable device, or a home appliance device. The electronic device according to the embodiment of the present document is not limited to the above-described devices.

The various embodiments of this document and terms used therein are not intended to limit the technical features described in this document to specific embodiments, but it should be understood to include various modifications, equivalents, or substitutions of the embodiments. In connection with the description of the drawings, like reference numerals may be used for similar or related components. The singular form of the noun corresponding to the item may include one or more of the item, unless the relevant context clearly dictates otherwise. As used herein, "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 "A , B, or C," each of which may include any one of the items listed together in the corresponding one of the phrases, or all possible combinations thereof. Terms such as "first", "second", or "first" or "second" may simply be used to distinguish an element from other elements in question, and may refer elements to other aspects (e.g., importance or order) is not limited. It is said that one (eg, first) component is “coupled” or “connected” to another (eg, second) component, with or without the terms “functionally” or “communicatively”. When referenced, it means that one component can be connected to the other component directly (eg by wire), wirelessly, or through a third component.

The term “module” used in various embodiments of this document may include a unit implemented in hardware, software, or firmware, and is interchangeable with terms such as, for example, logic, logic block, component, or circuit. can be used as A module may be an integrally formed part or a minimum unit or a part of the part that performs one or more functions. For example, according to an embodiment, the module may be implemented in the form of an application-specific integrated circuit (ASIC).

Various embodiments of the present document include one or more instructions stored in a storage medium (eg, internal memory 1036 or external memory 1038) readable by a machine (eg, electronic device 1001). may be implemented as software (eg, a program 1040) including For example, a processor (eg, processor 1020 ) of a device (eg, electronic device 1001 ) may call at least one command among one or more commands stored from a storage medium and execute it. This makes it possible for the device to be operated to perform at least one function according to the called at least one command. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-transitory' only means that the storage medium is a tangible device and does not contain a signal (eg, electromagnetic wave), and this term is used in cases where data is semi-permanently stored in the storage medium and It does not distinguish between temporary storage cases.

According to one embodiment, the method according to various embodiments disclosed in this document may be provided in a computer program product (computer program product). Computer program products may be traded between sellers and buyers as commodities. The computer program product is distributed in the form of a machine-readable storage medium (eg compact disc read only memory (CD-ROM)), or via an application store (eg Play Store ^TM ) or on two user devices ( It can be distributed (eg downloaded or uploaded) directly, online between smartphones (eg: smartphones). In the case of online distribution, at least a portion of the computer program product may be temporarily stored or temporarily created in a machine-readable storage medium such as a memory of a server of a manufacturer, a server of an application store, or a relay server.

According to various embodiments, each component (eg, a module or a program) of the above-described components may include a singular or a plurality of entities, and some of the plurality of entities may be separately disposed in other components. have. According to various embodiments, one or more components or operations among the above-described corresponding components may be omitted, or one or more other components or operations may be added. Alternatively or additionally, a plurality of components (eg, a module or a program) may be integrated into one component. In this case, the integrated component may perform one or more functions of each component of the plurality of components identically or similarly to those performed by the corresponding component among the plurality of components prior to the integration. . According to various embodiments, operations performed by a module, program, or other component are executed sequentially, in parallel, repeatedly, or heuristically, or one or more of the operations are executed in a different order, or omitted. or one or more other operations may be added.

Claims (20)

In the wearable device,
an electrocardiogram sensor including a first electrode and a second electrode distinct from the first electrode;
a capacitance correction circuit electrically connected to at least one of the first electrode and the second electrode;
a memory for storing control data for correcting a capacitance value of the capacitance correction circuit; and
at least one processor electrically connected to the electrocardiogram sensor and the capacitance correction circuit, wherein the at least one processor comprises:
generating a control signal based on the control data;
A wearable device for acquiring an electrocardiogram signal using the electrocardiogram sensor in a state in which a capacitance value of the capacitance correction circuit is corrected based on the control signal. The method according to claim 1
A housing including a display and an upper surface disposed to surround the display, a lower surface disposed on an opposite surface of the display, and a side portion surrounding a space between the upper surface and the lower surface,
The first electrode is disposed on a lower surface of the housing or the display, and the second electrode is disposed on a side surface or an upper surface of the housing. 3. The method according to claim 2,
The at least one processor is configured to control the display to display a screen including a notification for correction for ECG measurement. The method according to claim 1,
the capacitance correction circuit includes at least one variable capacitor and a ground;
The variable capacitor is a wearable device for changing a capacitance value based on the control signal. The method according to claim 1,
The capacitance correction circuit includes at least one capacitor and a multiplexer electrically connectable to the at least one capacitor,
The multiplexer selects one of the at least one capacitor based on the control signal and electrically connects to at least one of the first electrode and the second electrode. The method according to claim 1,
The at least one processor includes a digital-to-analog converter,
The digital-to-analog converter receives a digital signal corresponding to the control data from the at least one processor, converts the received digital signal into an analog signal, and transmits the converted analog signal to the capacitance correction circuit. Device. The method according to claim 1,
the at least one processor acquires at least one electrocardiogram signal using the electrocardiogram sensor while changing a capacitance value of the capacitance correction circuit;
A wearable device for determining the control data based on a common signal included in the acquired at least one electrocardiogram signal. The method according to claim 7, wherein the at least one processor stores the control data in the memory,
The memory is a non-volatile memory wearable device. The wearable device of claim 1 , wherein the capacitance correction circuit is electrically connected to an electrode having a smaller capacitance value among the first electrode or the second electrode. A method of operating a wearable device comprising a memory for storing control data for correcting a capacitance value of a capacitance correction circuit, the method comprising:
reading the control data;
generating a control signal based on the read control data;
correcting a capacitance value by controlling the capacitance correction circuit based on the control signal; and
and acquiring an electrocardiogram signal using an electrocardiogram sensor electrically connected to the capacitance correction circuit in which a capacitance value is corrected. 11. The method of claim 10,
The wearable device includes a digital-to-analog converter,
The generating of the control signal may include: receiving a digital signal for the control data; and
A method of operating a wearable device, comprising converting a received digital signal into an analog signal. 11. The method of claim 10,
The wearable device includes a housing including a display and an upper surface disposed to surround the display, a lower surface disposed on the opposite surface of the display, and a side portion surrounding a space between the upper surface and the lower surface,
The electrocardiogram sensor includes a first electrode and a second electrode distinct from the first electrode,
The method of operating a wearable device, wherein the first electrode is disposed on a lower surface of the housing or the display, and the second electrode is disposed on a side surface or an upper surface of the housing. 13. The method of claim 12,
The capacitance correction circuit is electrically connected to an electrode having a smaller capacitance value among the first electrode or the second electrode. 11. The method of claim 10,
the capacitance correction circuit includes at least one variable capacitor and a ground;
The operation of correcting the capacitance value includes changing the capacitance value by changing an area or an input voltage of the at least one variable capacitor based on the control signal. 11. The method of claim 10,
The capacitance correction circuit includes at least one capacitor and a multiplexer electrically connectable to the at least one capacitor,
Compensating the capacitance value may include selecting, by the multiplexer, one of the at least one capacitor based on the control signal and electrically connecting the capacitor to the electrocardiogram sensor. 11. The method of claim 10,
The wearable device includes a digital-to-analog converter,
receiving, by the digital-to-analog converter, a digital signal corresponding to the control data;
converting, by the digital-to-analog converter, the received digital signal into an analog signal; and
The method of operating a wearable device further comprising transmitting the converted analog signal to the capacitance correction circuit. A method of controlling a wearable device including an electrocardiogram sensor, the method comprising:
changing a capacitance value of a capacitance correction circuit connected to at least one of the first electrode and the second electrode within a set range while acquiring an electrocardiogram signal using the first electrode and the second electrode of the electrocardiogram sensor;
acquiring at least one output signal output from the electrocardiogram sensor while the capacitance value is changed;
determining control data for controlling the capacitance correction circuit to have a capacitance value that minimizes the magnitude of a common signal included in the at least one output signal; and
and storing the control data in a memory of the wearable device. 18. The method of claim 17,
the capacitance correction circuit includes at least one variable capacitor and a ground;
The changing of the capacitance value includes changing the capacitance value by changing an area or an input voltage of the at least one variable capacitor within the set range. 18. The method of claim 17,
The capacitance correction circuit includes at least one capacitor and a multiplexer electrically connectable to the at least one capacitor,
The changing of the capacitance value includes changing a capacitor electrically connected to the multiplexer among the at least one capacitor. 18. The method of claim 17,
The operation of determining the control data includes:
obtaining a magnitude of at least one common signal included in each of the at least one output signal while changing the capacitance value within the set range;
determining a minimum common signal among the obtained magnitudes of the at least one common signal; and
and determining control data for controlling the capacitance correction circuit to have a capacitance value corresponding to the minimum common signal as a result of the determination.

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