KR20220156439A - Apparatus for monitoring health - Google Patents

Abstract

The present invention relates to a health monitoring apparatus. The health monitoring apparatus comprises: a lower cover placed near a keyboard to measure the electroencephalogram of a user using the keyboard or a mouse, supporting the wrist of the user using the keyboard or the mouse, having the shape of a plate elongated in a lateral direction, and fixing at least one of components included in the health monitoring apparatus; an electrode module for acquiring an electrical signal by coming in contact with the wrist of the user; a control unit for acquiring the electroencephalogram of the user on the basis of the electrical signal and controlling the health monitoring apparatus; and an upper cover coupled to the upper side of the lower cover to form a space therein, allowing the control unit to be mounted in the formed space, and protecting the control unit and wires. The electrode module is inserted into a groove of the upper cover. Therefore, the electroencephalogram of a user can be measured accurately.

Description

Health monitoring device {APPARATUS FOR MONITORING HEALTH}

The present disclosure is directed to a health monitoring device. More specifically, the present disclosure relates to an apparatus for periodically monitoring the health of a user using a keyboard and a mouse.

One of the characteristics of modern society is that the general public's medical interest and sharing of professional knowledge is popular. can do.

However, conventional medical devices are operated by medical staff capable of skilled operation with specialized knowledge, and devices capable of determining the results are expensive and are generally unavailable to ordinary people.

BACKGROUND ART A blood pressure monitor, a thermometer, and the like are provided as equipment for self-diagnosis (measurement) of a health condition in a home or the like. In the case of a blood pressure monitor, information on high blood pressure, low blood pressure, or normal blood pressure can be acquired by measuring the user's blood pressure and displaying the value. do. However, blood pressure monitors and thermometers provide only functions that can simply measure blood pressure and body temperature, so it is practically possible to obtain more precise information about the user's health condition, for example, heart rate, and information about the human mental adjustment or relaxation process. However, there is a limitation in that information on mental relaxation or arousal due to stress could not be comprehensively presented along with pulse or body temperature.

On the other hand, as a conventional medical device that can be used at home, there is a pulsimeter, which is an oriental medicine diagnostic device. This pulse monitor has the function of measuring the pulse wave at the fingertips and enabling the pulse measurement. The pattern of the pulse wave measured in this way appears as a change in the pulse wave with age, and through the measurement, it is possible to distinguish up to 15 pulses. It is a device that can identify various symptoms such as hardening, paralysis, language disorder, heart failure, and paraglial hyperactivity.

However, since the conventional pulse monitor described above measures only the pulse wave, there is a limitation in that it cannot provide more detailed and diverse self-diagnosis information such as physiological signals and vital signs to the user.

In addition, in the past, there have been cases in which a mouse includes a configuration for monitoring a user's health. However, since it is rare for a user to use only a mouse, a method for measuring the electrocardiogram of a user using a keyboard and a mouse needs to be researched.

The present disclosure provides a device capable of accurately measuring an electrocardiogram when a user uses a keyboard and a mouse. In addition, a device for notifying the user or an acquaintance of the user of the user's health abnormality to allow the user to take necessary action is provided.

The operating method of the health monitoring device is performed by measuring an electrocardiogram signal by contacting an electrode included in a wrist rest of a keyboard with a user's wrist or palm. In order to determine whether the user's body is in contact with the electrode, it is possible to read the change in pressure value of the pressure sensor configured in the health monitoring device or to check whether a valid signal is generated during real-time monitoring of the ECG electrode. Also, when the user's body comes into contact with the electrode, electrocardiogram measurement may start. The measured electrocardiogram signal may be collected based on a monitoring program installed in a user terminal (eg, PC), and the data may be periodically transmitted to an electrocardiogram analysis server to analyze a user's health condition. In addition, the user terminal may perform periodic analysis (FFT) with a monitoring program including an analysis algorithm to diagnose the user's health condition based on a change in the analysis result.

The hardware configuration of the health monitoring device may include a wrist rest form of a general keyboard/mouse. In addition, the health monitoring device may include a fixed type of wrist rest in which electrodes are fixed and a type of movable type of wrist rest in which electrodes can move left and right + rotation. Electrodes of the health monitoring device may include a signal electrode and a reference electrode that contact the user's body and receive signals. In addition, the health monitoring device includes a PCB for collecting each signal and a communication device for transmitting the signal to a PC or other medium. As a power source, the health monitoring device may use communication power of a data wired connection or share driving power of a keyboard. More specifically, the health monitoring device may use a Power over Ethernet (POE) function using a power line of a wired communication line (eg, a LAN line). In addition, the health monitoring device may use some of the driving power of the keyboard or mouse supplied from the user terminal as a power source.

The health monitoring device according to the present disclosure is located near a keyboard, measures an electrocardiogram of a user using a keyboard or mouse, and supports the user's wrist using a keyboard or mouse, and the health monitoring device moves left and right. An extended plate shape, a lower cover for fixing at least one of components included in the health monitoring device, an electrode module that obtains an electrical signal by contacting the user's wrist, and an electrocardiogram of the user based on the electrical signal; A control unit for controlling the health monitoring device and an upper cover coupled to the upper side of the lower cover to form a space therein, a control unit mounted in the formed space, and an upper cover for protecting the control unit and wires, in a groove of the upper cover The electrode module is inserted.

The electrode module of the health monitoring device according to the present disclosure includes a first electrode group, a second electrode group, and a third electrode group, and the first electrode group, the second electrode group, and the third electrode group are sequentially from left to right of the upper cover. Electrode groups are disposed, the first electrode group includes a 1-1 electrode and a 1-2 electrode, the second electrode group includes a 2-1 electrode and a 2-2 electrode, and a third electrode group includes a 3-1 electrode and a 3-2 electrode, and includes the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-1 electrode. At least one of the two electrodes is a ground electrode, and at least one of the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode signal electrode.

The 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode of the health monitoring device according to the present disclosure extend left and right, respectively. It includes a base electrode and a plurality of protruding electrodes periodically arranged along the base electrode, and one protruding electrode included in the 1-2 electrode is positioned between two consecutive protruding electrodes included in the 1-1 electrode, One protruding electrode included in the 2-2 electrode is positioned between two consecutive protruding electrodes included in the 2-1 electrode, and a third protruding electrode included in the 3-1 electrode is positioned between two consecutive protruding electrodes included in the 3-1 electrode. One protruding electrode included in the two electrodes is located.

The controller of the health monitoring device according to the present disclosure selects two electrode groups from among the first to third electrode groups based on electrical signals from the first to third electrode groups, and selects the two selected electrode groups. Based on the electrocardiogram of the user is obtained.

The controller of the health monitoring device according to the present disclosure receives electrical signals from the first to third electrode groups, determines whether the electrical signals received from the first to third electrode groups are related to the electrocardiogram, Two electrode groups corresponding to electrical signals related to the electrocardiogram are selected from the first to third electrode groups.

The health monitoring device according to the present disclosure further includes a switch for selecting a first mode or a second mode, and when the switch is in the first mode, the second electrode group and the third electrode group are short-circuited to form the first short-circuit group. and the control unit acquires the user's electrocardiogram based on the electrical signals of the first electrode group and the first short circuit group, and when the switch is in the second mode, the first electrode group and the second electrode group are shorted to generate a second short circuit. A group is formed, and the control unit acquires the user's electrocardiogram based on the electrical signals of the third electrode group and the second short group.

The control unit of the health monitoring device according to the present disclosure applies the user's electrocardiogram to a machine learning model to obtain information on disease, and the machine learning model is a model obtained by machine learning the correlation between the user's electrocardiogram and the disease information.

The health monitoring device according to the present disclosure is located near the keyboard, measures the electrocardiogram of the user using the keyboard or mouse, and supports the user's wrist using the keyboard. A base module including guides extending left and right so that the electrode module can move left and right, coupled to the base module, can move left and right on the base module along the guides extended left and right, and contacts the user's wrist to transmit electrical signals. An electrode module to be acquired, a pressure sensor located under the electrode module and detecting whether or not the user puts his or her wrist on the electrode module, and an electrocardiogram of the user based on the signal received from the electrode module and the signal received from the pressure sensor. It includes a control unit for obtaining.

The electrode module of the health monitoring device according to the present disclosure includes a first electrode module and a second electrode module, the first electrode module is located on the left side of the second electrode module, and the controller acquires information about the hand holding the mouse. and obtains the user's electrocardiogram using at least one of a signal received from the first electrode module and a signal received from the second electrode module based on at least one of the information on the hand holding the mouse and the signal of the pressure sensor. .

The control unit of the health monitoring device according to the present disclosure compares the signal of the pressure sensor with the first threshold pressure and the second threshold pressure, and when the signal of the pressure sensor is greater than the second threshold pressure, the signal received from the first electrode module and An electrocardiogram of the user is obtained using the signal received from the second electrode module, and the second threshold pressure is greater than the first threshold pressure.

A health monitoring device according to the present disclosure includes a third electrode module that obtains an electrical signal by contacting a user's hand using a mouse, and the control unit determines that the signal of the pressure sensor is less than or equal to a second threshold pressure, and the first If the pressure is greater than the threshold pressure and the information on the hand holding the mouse indicates the right hand, the user's electrocardiogram is acquired using the signal received from the first electrode module and the signal received from the third electrode module.

The control unit of the health monitoring device according to the present disclosure, when the signal of the pressure sensor is less than or equal to the second threshold pressure and greater than the first threshold pressure, and the information on the hand holding the mouse indicates the left hand, controls the control from the second electrode module. An electrocardiogram of the user is obtained using the received signal and the signal received from the third electrode module.

In addition, a program for implementing the operating method of the health monitoring device of the present disclosure as described above may be recorded in a computer-readable recording medium.

The health monitoring device according to the present disclosure can accurately measure the user's electrocardiogram. In addition, modern people use a mouse and keyboard a lot, and the user's convenience is increased because the electrocardiogram is automatically measured when the mouse and keyboard are used without the user having to consciously measure the electrocardiogram. In addition, since the electrocardiogram is measured periodically and frequently, it is possible to secure big data by securing a large amount of data on the user's electrocardiogram. In addition, it is possible to immediately determine whether or not there is an abnormality in the user's health and inform the user or the user's acquaintances. Thus, the health monitoring device can improve the user's health.

1 is a block diagram of a server 320 according to an embodiment of the present disclosure.
2 is a diagram illustrating a health monitoring device, a user terminal, and a server according to an embodiment of the present disclosure.
3 is a diagram for explaining a configuration for communicating with a health monitoring device according to an embodiment of the present disclosure.
4 is a diagram illustrating a health monitoring device according to an embodiment of the present disclosure.
5 is an exploded view of a health monitoring device according to an embodiment of the present disclosure.
6 is a diagram for explaining an electrode group according to an embodiment of the present disclosure.
7 illustrates the shapes of a 1-1 electrode, a 1-2 electrode, a 2-1 electrode, a 2-2 electrode, a 3-1 electrode, and a 3-2 electrode according to an embodiment of the present disclosure. It is a flat view shown.
8 is a flowchart illustrating an operating method of a health monitoring device according to an embodiment of the present disclosure.
9 is a diagram illustrating a health monitoring device according to an embodiment of the present disclosure.
10 is a diagram for explaining a machine learning model according to an embodiment of the present disclosure.
11 shows an exploded view of a health monitoring device according to an embodiment of the present disclosure.
12 is a perspective view of a health monitoring device according to an embodiment of the present disclosure.
13 is a diagram illustrating a health monitoring device according to an embodiment of the present disclosure.
14 is a diagram illustrating electrodes included in a health monitoring device according to an embodiment of the present disclosure.

Advantages and features of the disclosed embodiments, and methods of achieving them, will become apparent with reference to the following embodiments in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below and may be implemented in various different forms, only the present embodiments make the present disclosure complete, and those of ordinary skill in the art to which the present disclosure belongs It is provided only to fully inform the person of the scope of the invention.

Terms used in this specification will be briefly described, and the disclosed embodiments will be described in detail.

The terms used in this specification have been selected from general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but they may vary according to the intention of a person skilled in the related field, a precedent, or the emergence of new technologies. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, terms used in the present disclosure should be defined based on the meaning of the term and the general content of the present disclosure, not simply the name of the term.

Expressions in the singular number in this specification include plural expressions unless the context clearly dictates that they are singular. Also, plural expressions include singular expressions unless the context clearly specifies that they are plural.

When it is said that a certain part "includes" a certain component throughout the specification, it means that it may further include other components without excluding other components unless otherwise stated.

Also, the term “unit” used in the specification means a software or hardware component, and “unit” performs certain roles. However, "unit" is not meant to be limited to software or hardware. A “unit” may be configured to reside in an addressable storage medium and may be configured to reproduce on one or more processors. Thus, as an example, “unit” can refer to components such as software components, object-oriented software components, class components and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functionality provided within components and "parts" may be combined into fewer components and "parts" or further separated into additional components and "parts".

According to an embodiment of the present disclosure, “unit” may be implemented as a processor and a memory. The term “processor” should be interpreted broadly to include general-purpose processors, central processing units (CPUs), microprocessors, digital signal processors (DSPs), controllers, microcontrollers, state machines, and the like. In some circumstances, “processor” may refer to an application specific integrated circuit (ASIC), programmable logic device (PLD), field programmable gate array (FPGA), or the like. The term "processor" refers to a combination of processing devices, such as, for example, a combination of a DSP and a microprocessor, a combination of a plurality of microprocessors, a combination of one or more microprocessors in conjunction with a DSP core, or any other such configuration. may also refer to

The term "memory" should be interpreted broadly to include any electronic component capable of storing electronic information. The term memory includes random access memory (RAM), read-only memory (ROM), non-volatile random access memory (NVRAM), programmable read-only memory (PROM), erasable-programmable read-only memory (EPROM), electrical may refer to various types of processor-readable media, such as erasable PROM (EEPROM), flash memory, magnetic or optical data storage, registers, and the like. A memory is said to be in electronic communication with the processor if the processor can read information from and/or write information to the memory. Memory integrated with the processor is in electronic communication with the processor.

Hereinafter, with reference to the accompanying drawings, embodiments will be described in detail so that those skilled in the art can easily carry out the embodiments. And in order to clearly describe the present disclosure in the drawings, parts irrelevant to the description are omitted.

1 is a block diagram of a server 320 according to an embodiment of the present disclosure.

Referring to FIG. 1 , a server 320 according to an embodiment may include at least one of a data learning unit 110 and a data recognizing unit 120 . The server 320 as described above may include a processor and memory.

The data learning unit 110 may learn a machine learning model for performing a target task using a data set. The data learning unit 110 may receive label information related to a data set and a target task. The data learning unit 110 may obtain a machine learning model by performing machine learning on the relationship between the data set and the label information. The machine learning model obtained by the data learning unit 110 may be a model for generating label information using a data set.

The data recognition unit 120 may receive and store the machine learning model of the data learning unit 110 . The data recognizer 120 may output label information by applying a machine learning model to input data. In addition, the data recognizer 120 may use input data, label information, and results output by the machine learning model to update the machine learning model.

At least one of the data learning unit 110 and the data recognizing unit 120 may be manufactured in the form of at least one hardware chip and mounted in an electronic device. For example, at least one of the data learning unit 110 and the data recognizing unit 120 may be manufactured in the form of a dedicated hardware chip for artificial intelligence (AI), or an existing general-purpose processor (eg, CPU). Alternatively, it may be manufactured as a part of an application processor) or a graphics-only processor (eg GPU) and mounted in various electronic devices described above.

Also, the data learning unit 110 and the data recognizing unit 120 may be mounted on separate electronic devices. For example, one of the data learner 110 and the data recognizer 120 may be included in the electronic device, and the other may be included in the server. In addition, the data learning unit 110 and the data recognizing unit 120 may provide machine learning model information built by the data learning unit 110 to the data recognizing unit 120 through wired or wireless communication, and data recognition Data input to the unit 120 may be provided to the data learning unit 110 as additional learning data.

Meanwhile, at least one of the data learning unit 110 and the data recognizing unit 120 may be implemented as a software module. When at least one of the data learning unit 110 and the data recognizing unit 120 is implemented as a software module (or a program module including instructions), the software module is a memory or a computer-readable non-transitory module. It may be stored in a temporary readable recording medium (non-transitory computer readable media). Also, in this case, at least one software module may be provided by an Operating System (OS) or a predetermined application. Alternatively, some of the at least one software module may be provided by an Operating System (OS), and the other part may be provided by a predetermined application.

The data learning unit 110 according to an embodiment of the present disclosure includes a data acquisition unit 111, a pre-processing unit 112, a training data selection unit 113, a model learning unit 114, and a model evaluation unit 115. can include

The data acquisition unit 111 may acquire data necessary for machine learning. Since a lot of data is required for learning, the data acquisition unit 111 may receive a data set including a plurality of data.

Label information may be assigned to each of a plurality of data. The label information may be information describing each of a plurality of pieces of data. Label information may be information to be derived by a target task. Label information may be obtained from a user input, from a memory, or from a result of a machine learning model. For example, if the target task is to predict the future stock price increase rate based on past stock price information, the plurality of data used for machine learning will be the past stock price data for each stock, and the label information will be the future stock price increase rate. will be. Also, if the target task is to predict stock prices to soar based on past stock price information, the plurality of data used for machine learning will be past stock price data for each stock, and label information will be whether each stock will surge or not.

The pre-processing unit 112 may pre-process the acquired data so that the received data can be used for machine learning. The pre-processing unit 112 may process the acquired data set into a preset format so that the model learning unit 114 to be described later may use it.

The learning data selector 113 may select data necessary for learning from preprocessed data. The selected data may be provided to the model learning unit 114 . The learning data selector 113 may select data necessary for learning from preprocessed data according to a predetermined criterion. In addition, the learning data selection unit 113 may select data according to a predetermined criterion by learning by the model learning unit 114 to be described later.

The model learning unit 114 may learn a criterion for which label information to output based on the data set. In addition, the model learning unit 114 may perform machine learning using a data set and label information for the data set as training data. In addition, the model learning unit 114 may perform machine learning by additionally using a previously obtained machine learning model. In this case, the previously acquired machine learning model may be a pre-built model. For example, the machine learning model may be a model built in advance by receiving basic learning data.

The machine learning model may be built in consideration of the application field of the learning model, the purpose of learning, or the computer performance of the device. The machine learning model may be, for example, a model based on a neural network. For example, models such as Deep Neural Network (DNN), Recurrent Neural Network (RNN), Long Short-Term Memory models (LSTM), Bidirectional Recurrent Deep Neural Network (BRDNN), and Convolutional Neural Networks (CNN) can be used as machine learning models. may, but is not limited thereto.

According to various embodiments, when a plurality of pre-built machine learning models exist, the model learning unit 114 may determine a machine learning model having a high correlation between the input learning data and the basic learning data as the machine learning model to be learned. have. In this case, the basic learning data may be pre-classified for each type of data, and the machine learning model may be pre-built for each type of data. For example, the basic learning data may be pre-classified according to various criteria such as a place where the learning data was created, a time when the learning data was created, a size of the learning data, a creator of the learning data, and a type of object in the learning data.

In addition, the model learning unit 114 may train the machine learning model using a learning algorithm including, for example, error back-propagation or gradient descent.

In addition, the model learning unit 114 may learn a machine learning model through, for example, supervised learning using learning data as an input value. In addition, the model learning unit 114 performs, for example, unsupervised learning in which a criterion for a target task is discovered by self-learning the type of data necessary for the target task without any guidance. Through this, a machine learning model can be obtained. In addition, the model learning unit 114 may learn the machine learning model through, for example, reinforcement learning using feedback about whether the result of the target task according to learning is correct.

In addition, when the machine learning model is learned, the model learning unit 114 may store the learned machine learning model. In this case, the model learning unit 114 may store the learned machine learning model in the memory of the electronic device including the data recognizing unit 120 . Alternatively, the model learning unit 114 may store the learned machine learning model in a memory of a server connected to the electronic device through a wired or wireless network.

The memory in which the learned machine learning model is stored may also store, for example, commands or data related to at least one other component of the electronic device. Also, the memory may store software and/or programs. Programs may include, for example, kernels, middleware, application programming interfaces (APIs) and/or application programs (or “applications”).

The model evaluation unit 115 may input evaluation data to the machine learning model and, if a result output from the evaluation data does not satisfy a predetermined criterion, may cause the model learning unit 114 to learn again. In this case, the evaluation data may be preset data for evaluating the machine learning model.

For example, the model evaluator 115 determines that a predetermined criterion is not satisfied when the number or ratio of evaluation data for which the recognition result is not accurate among the results of the machine learning model learned for the evaluation data exceeds a preset threshold. can be evaluated as For example, when a predetermined criterion is defined as a ratio of 2%, and a learned machine learning model outputs an erroneous recognition result for evaluation data exceeding 20 out of a total of 1000 evaluation data, the model evaluation unit 115 performs learning It can be evaluated that the applied machine learning model is not suitable.

On the other hand, when there are a plurality of learned machine learning models, the model evaluation unit 115 evaluates whether or not a predetermined criterion is satisfied for each learned machine learning model, and a model that satisfies the predetermined criterion is used as the final machine learning model. can decide In this case, when there are a plurality of models that satisfy a predetermined criterion, the model evaluation unit 115 may determine one or a predetermined number of models preset in order of high evaluation scores as the final machine learning model.

Meanwhile, at least one of the data acquisition unit 111, the preprocessing unit 112, the learning data selection unit 113, the model learning unit 114, and the model evaluation unit 115 in the data learning unit 110 is at least one It can be manufactured in the form of a hardware chip and mounted in an electronic device. For example, at least one of the data acquisition unit 111, the pre-processing unit 112, the training data selection unit 113, the model learning unit 114, and the model evaluation unit 115 is artificial intelligence (AI). It may be manufactured in the form of a dedicated hardware chip for the computer, or may be manufactured as a part of an existing general-purpose processor (eg, CPU or application processor) or graphics-only processor (eg, GPU) and mounted in various electronic devices described above.

In addition, the data acquisition unit 111, the pre-processing unit 112, the training data selection unit 113, the model learning unit 114, and the model evaluation unit 115 may be mounted on one electronic device, or may be installed in separate electronic devices. It may also be mounted on each electronic device. For example, some of the data acquisition unit 111, the pre-processing unit 112, the training data selection unit 113, the model learning unit 114, and the model evaluation unit 115 are included in the electronic device, and the others are included in the electronic device. can be included in the server.

In addition, at least one of the data acquisition unit 111, the preprocessing unit 112, the learning data selection unit 113, the model learning unit 114, and the model evaluation unit 115 may be implemented as a software module. At least one of the data acquisition unit 111, the pre-processing unit 112, the training data selection unit 113, the model learning unit 114, and the model evaluation unit 115 is a software module (or a program including instructions) module), the software module may be stored in a computer-readable, non-transitory computer readable recording medium (non-transitory computer readable media). Also, in this case, at least one software module may be provided by an Operating System (OS) or a predetermined application. Alternatively, some of the at least one software module may be provided by an Operating System (OS), and the other part may be provided by a predetermined application.

The data recognition unit 120 according to an embodiment of the present disclosure includes a data acquisition unit 121, a preprocessing unit 122, a recognition data selection unit 123, a recognition result providing unit 124, and a model update unit 125. can include

The data acquisition unit 121 may receive input data. The preprocessing unit 122 may preprocess the acquired input data so that the acquired input data can be used in the recognition data selection unit 123 or the recognition result providing unit 124 .

The recognition data selection unit 123 may select necessary data from preprocessed data. The selected data may be provided to the recognition result provider 124 . The recognition data selection unit 123 may select some or all of the pre-processed data according to a predetermined criterion. In addition, the recognition data selection unit 123 may select data according to a standard set by learning by the model learning unit 114 .

The recognition result providing unit 124 may obtain result data by applying the selected data to the machine learning model. The machine learning model may be a machine learning model generated by the model learning unit 114 . The recognition result provider 124 may output result data.

The model updating unit 125 may update the machine learning model based on the evaluation of the recognition result provided by the recognition result providing unit 124 . For example, the model updater 125 may provide the recognition result provided by the recognition result provider 124 to the model learner 114 so that the model learner 114 updates the machine learning model. have.

Meanwhile, at least one of the data acquisition unit 121, the pre-processing unit 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 in the data recognizing unit 120, at least It is manufactured in the form of a single hardware chip and can be mounted in an electronic device. For example, at least one of the data acquisition unit 121, the pre-processing unit 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 is artificial intelligence (AI). ), or may be manufactured as a part of an existing general-purpose processor (eg, CPU or application processor) or graphics-only processor (eg, GPU) and mounted in various electronic devices described above.

In addition, the data acquisition unit 121, the pre-processing unit 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 may be mounted in one electronic device or separately. may be mounted on each of the electronic devices. For example, some of the data acquisition unit 121, the pre-processing unit 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 are included in the electronic device, and the other part is included in the electronic device. may be included in the server.

In addition, at least one of the data acquisition unit 121, the preprocessing unit 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 may be implemented as a software module. At least one of the data acquisition unit 121, the pre-processing unit 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 includes a software module (or an instruction) When implemented as a program module), the software module may be stored in a computer-readable, non-transitory computer readable recording medium (non-transitory computer readable media). Also, in this case, at least one software module may be provided by an Operating System (OS) or a predetermined application. Alternatively, some of the at least one software module may be provided by an Operating System (OS), and the other part may be provided by a predetermined application.

Hereinafter, a method and apparatus for receiving and processing learning data by the data acquiring unit 111, the preprocessing unit 112, and the learning data selection unit 113 of the data learning unit 110 will be described in more detail.

2 is a diagram illustrating a health monitoring device, a user terminal, and a server according to an embodiment of the present disclosure.

The health monitoring device 100 , the user terminal 310 , and the server 320 may include a processor 210 and a memory 220 . The processor 210 may execute instructions stored in the memory 220 .

As described above, the server 320 may include the data learning unit 110 or the data recognizing unit 120 . The data learning unit 110 or the data recognizing unit 120 may be implemented by the processor 210 and the memory 220 .

3 is a diagram for explaining a configuration for communicating with a health monitoring device according to an embodiment of the present disclosure.

The health monitoring device 100, the user terminal 310, and the server 320 may include a communication unit. Accordingly, the health monitoring device 100, the user terminal 310, and the server 320 may communicate with each other.

The user terminal 310 may include a PC, smart phone, PDA, laptop, tablet, or wearable device used by the user. The user terminal 310 may relay data. For example, the health monitoring device 100 may transmit at least one of an electrocardiogram and an electrocardiogram analysis result to the user terminal 310 . The user terminal 310 may display the electrocardiogram as text, a table, or a graph so that the user can check his or her electrocardiogram value. In addition, the user terminal 310 may transmit at least one of an electrocardiogram or an electrocardiogram analysis result to the server 320 . The server 320 may accumulate and store the user's electrocardiogram. Accordingly, when requested by the user terminal 310, the accumulated electrocardiogram of the user may be provided at any time. In addition, the server 320 may transmit an analysis result based on the user's electrocardiogram to the user terminal 310 . The analysis result may indicate information about the user's health condition. For example, assay results may include information about a disease. The user terminal 310 may output an analysis result. The user can take necessary actions based on the output analysis result.

4 is a diagram illustrating a health monitoring device according to an embodiment of the present disclosure.

The health monitoring device 100 may be located near the keyboard 410 . The health monitoring device 100 may be located behind the keyboard 410 to support the user's wrist. Here, the rear means the back when the user sits with the keyboard in front.

The health monitoring device 100 may measure an electrocardiogram of a user using a keyboard or a mouse by including electrodes in contact with the user's wrist. In addition, the health monitoring device 100 may provide convenience when the user uses the keyboard and mouse by supporting the user's wrist using the keyboard or mouse.

In addition, many people currently use keyboards and mice at work or at home, and sometimes use wrist rests to protect wrists when using keyboards and mice. The health monitoring device 100 may have a form of a wrist rest. Since the user's wrist is always in contact with the user's wrist when the user uses a keyboard or a mouse, the health monitoring device 100 has an effect of frequently measuring the user's electrocardiogram. In addition, by frequently measuring the electrocardiogram and quickly detecting abnormalities in the user's health, there is an effect of improving the user's health. Hereinafter, components included in the health monitoring device 100 will be described in more detail together with FIG. 5 .

5 is an exploded view of a health monitoring device according to an embodiment of the present disclosure.

The health monitoring device 100 may include a lower cover 510 . The lower cover 510 may have a plate shape extending left and right. The lower cover 510 may fix at least one of components included in the health monitoring device. For example, the control unit 530 or the switch 550 may be fixed to the lower cover 510 .

The health monitoring device 100 may include an electrode module 520 . The electrode module 520 may be a conductor. The electrode module 520 may obtain an electrical signal by contacting the user's wrist. The electrode module 520 may be a silicon electrode or a metal. The metal used in the electrode module 520 may be SUS (Steel Use Stainless) or nickel chrome plated metal. In addition, when a silicon electrode is used as the electrode module 520, the user can feel comfortable because it does not give a cold feeling to the user's wrist and does not press the user's wrist.

The electrode module 520 may include a first electrode group 521 , a second electrode group 522 , and a third electrode group 523 . A first electrode group 521 , a second electrode group 522 , and a third electrode group 523 may be disposed sequentially from left to right of the upper cover 540 . The distance between the first electrode group 521 and the second electrode group 522 may be 2 cm or less and 0.5 cm or more. Also, the distance between the second electrode group 522 and the third electrode group 523 may be 2 cm or less. Such a distance of 2 cm or less is to prevent both hands from contacting one electrode group. In order to accurately measure the electrocardiogram, electrodes need to be in contact with at least two parts of the user's body. However, when both hands and wrists contact one of the first electrode group 521, the second electrode group 522, and the third electrode group 523, the obtained electrocardiogram may be inaccurate. A distance of 0.5 cm or more is to prevent a short circuit from occurring between the two electrode groups. The health monitoring device according to the present disclosure may accurately measure an electrocardiogram by placing a distance between electrode groups. Reference is made to FIG. 6 to describe components included in the first electrode group 521 , the second electrode group 522 , and the third electrode group 523 .

6 is a diagram for explaining an electrode group according to an embodiment of the present disclosure.

The first electrode group 521 may include a 1-1 electrode 610 and a 1-2 electrode 620 . The 1-1 electrode 610 and the 1-2 electrode 620 may be disposed side by side. The protrusion of the 1-1 electrode 610 may be inserted into the groove of the 1-2 electrode 620 . The protrusion of the 1-2 electrode 620 may be inserted into the groove of the 1-1 electrode 610 . The minimum distance between the 1-1st electrode 610 and the 1-2nd electrode 620 may be 5 mm or more and 10 mm or less. The 1-1 electrode 610 and the 1-2 electrode 620 having such a distance have an effect of contacting the user's wrist with as many electrode areas as possible without causing a short circuit.

The second electrode group 522 may include a 2-1 electrode and a 2-2 electrode. The 2-1 electrode and the 2-2 electrode may be disposed side by side. The protrusion of the 2-1 electrode may be inserted into the groove of the 2-2 electrode. The protrusion of the 2-2nd electrode may be inserted into the groove of the 2-1st electrode. The minimum distance between the 2-1 electrode and the 2-2 electrode may be 5 mm or more and 10 mm or less. The shape of the 2-1 electrode may correspond to the shape of the 1-1 electrode 610 . Also, the shape of the 2-2 electrode may correspond to the shape of the 1-2 electrode 620 . Also, the function of the 2-1 electrode may correspond to the function of the 1-1 electrode 610 . In addition, the function of the 2-2 electrode may correspond to the function of the 1-2 electrode 620 .

The third electrode group 523 may include a 3-1 electrode and a 3-2 electrode. The 3-1 electrode and the 3-2 electrode may be disposed side by side. The protrusion of the 3-1 electrode may be inserted into the groove of the 3-2 electrode. The protrusion of the 3S-2 electrode may be inserted into the groove of the 3-1 electrode. The minimum distance between the 3-1 electrode and the 3-2 electrode may be 5 mm or more and 10 mm or less. The shape of the 3-1 electrode may correspond to the shape of the 1-1 electrode 610 . Also, the shape of the 3-2 electrode may correspond to the shape of the 1-2 electrode 620 . In addition, the function of the 3-1 electrode may correspond to the function of the 1-1 electrode 610 . In addition, the function of the 3-2 electrode may correspond to the function of the 1-2 electrode 620 .

The 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode may all have the same shape. Therefore, productivity of the health monitoring device 100 is increased.

At least one of the 1-1 electrode, 1-2 electrode, 2-1 electrode, 2-2 electrode, 3-1 electrode, and 3-2 electrode may be a ground electrode. The ground electrode may refer to an electrode corresponding to a reference signal. That is, the ground electrode may be a reference electrode.

In addition, at least one of the 1-1 electrode, 1-2 electrode, 2-1 electrode, 2-2 electrode, 3-1 electrode, and 3-2 electrode may be a signal electrode. The signal electrode may be an electrode that obtains a signal based on a signal of the ground electrode. The controller 530 may receive a signal of the signal electrode for the ground electrode as an electrical signal. Also, the controller 530 may obtain an electrocardiogram based on the electrical signal.

According to an embodiment of the present disclosure, the 1-1 electrode, the 2-1 electrode, and the 3-1 electrode may be ground electrodes. Also, the first-second electrode, the second-second electrode, and the third-second electrode may be signal electrodes.

According to various embodiments of the present disclosure, the 1-1 electrode, the 2-1 electrode, and the 3-1 electrode may be signal electrodes. Also, the first-second electrode, the second-second electrode, and the third-second electrode may be ground electrodes.

According to various embodiments of the present disclosure, the 1-1 electrode, the 2-2 electrode, and the 3-1 electrode may be signal electrodes. Also, the 1-2 electrode, the 2-1 electrode, and the 3-2 electrode may be ground electrodes. According to various embodiments of the present disclosure, the 1-1 electrode, the 2-2 electrode, and the 3-1 electrode may be ground electrodes. Also, the 1-2 electrode, the 2-1 electrode, and the 3-2 electrode may be signal electrodes. In this way, when the signal electrodes included in the first electrode group 521 to the third electrode group 523 are alternately arranged, the second electrode group 522, the first electrode group 521, and the third electrode group 523 ) while avoiding a short circuit, there is an effect of widening the range of the ground electrode.

The controller 530 may obtain a signal of the signal electrode for the ground electrode as an electrical signal. Also, the controller 530 may obtain an electrocardiogram based on the electrical signal.

According to various embodiments of the present disclosure, at least one of the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode is ground. electrode and the remaining electrodes may be signal electrodes.

The controller 530 selects the ground electrode among the 1-1 electrode, 1-2 electrode, 2-1 electrode, 2-2 electrode, 3-1 electrode, and 3-2 electrode according to a predetermined standard. electrode can be selected. Also, the controller 530 may select at least one of the remaining electrodes as a signal electrode according to a predetermined criterion. The controller 530 may obtain an electrocardiogram based on the electrical signal received from the electrode module 520 .

The controller 530 may acquire a plurality of electrocardiograms based on various combinations of electrodes as described above. Also, the controller 530 may transmit a plurality of electrocardiograms to the user terminal 310 . The user terminal 310 may output a plurality of electrocardiograms. The user may select the most accurately measured electrocardiogram.

The controller 530 may acquire a plurality of electrocardiograms based on various combinations of electrodes as described above. Also, the controller 530 may obtain a final electrocardiogram based on a plurality of electrocardiograms. The controller 530 may select an electrode group on which the user's wrist is raised among the electrode modules 520 . The controller 530 may select an electrode group on which the user's wrist is raised based on a signal from the sensor or signals from the 1-1st to 3-2nd electrodes. A method of selecting an electrode group will be described later.

When the user's wrist is placed on the first electrode group 521 and the second electrode group 522, the controller 530 may select the first electrode group 521 and the second electrode group 522. The controller 530 may select the 1-1 electrode as the ground electrode, and select the 1-2 electrode, the 2-1 electrode, and the 2-2 electrode as the signal electrode. The controller 530 may acquire electrical signals of the 1-2 electrode, the 2-1 electrode, and the 2-2 electrode. The controller 530 may select the 1-2 electrode as the ground electrode, and select the 1-1 electrode, the 2-1 electrode, and the 2-2 electrode as the signal electrode. The controller 530 may obtain electrical signals of the 1-1 electrode, the 2-1 electrode, and the 2-2 electrode. The controller 530 may select the 2-1 electrode as the ground electrode, and select the 1-1 electrode, the 1-2 electrode, and the 2-2 electrode as the signal electrode. The controller 530 may acquire electrical signals of the 1-1 electrode, the 1-2 electrode, and the 2-2 electrode. The controller 530 may select the 2-2 electrode as the ground electrode, and select the 1-1 electrode, the 1-2 electrode, and the 2-1 electrode as the signal electrode. The controller 530 may acquire electrical signals of the 1-1 electrode, the 1-2 electrode, and the 2-1 electrode. The controller 300 may calculate in real time an average of an electrical signal when the 1-1st electrode is selected as the signal electrode and an electrical signal when the 1-2nd electrode is selected as the signal electrode. In addition, the average value calculated in real time can be determined by electrocardiogram for the left hand. Also, the controller 300 may calculate in real time an average of an electrical signal when the 2-1 electrode is selected as the signal electrode and an electrical signal when the 2-2 electrode is selected as the signal electrode. In addition, the average value calculated in real time can be determined as the electrocardiogram for the right hand.

Referring to FIG. 7 to describe the shapes of the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode.

7 illustrates the shapes of a 1-1 electrode, a 1-2 electrode, a 2-1 electrode, a 2-2 electrode, a 3-1 electrode, and a 3-2 electrode according to an embodiment of the present disclosure. It is a flat view shown.

7 shows one electrode of the 1-1st electrode, the 1-2nd electrode, the 2-1st electrode, the 2-2nd electrode, the 3-1st electrode, and the 3-2nd electrode. Since the shape of the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode are the same, the 1-1 electrode, the 1-1 electrode 7 may be drawn for the second electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode.

The 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode are base electrodes 710 extending left and right 705, respectively. can include

In addition, the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode are periodically arranged along the base electrode 710, respectively. A plurality of protruding electrodes 721 and 722 may be included. The protruding electrodes 721 and 722 may extend forward and backward (706). Front and back 706 may be a direction perpendicular to the left and right 705 of FIG. 7 .

The protruding electrodes 721 and 722 may include an extension portion 722 and an end portion 721 . The extension part 722 may be configured to extend from the base electrode 710 to the end part 721 . The shape of the distal end 721 may be circular. When the distal end 721 is circular, by increasing the contact area between the user's wrist and the electrode, noise in the electrical signal can be reduced, and the health monitoring device 100 can obtain a stable electrical signal. Accordingly, the accuracy of the electrocardiogram may be increased.

The protruding electrodes 721 and 722 may allow one wrist of the user to contact both electrodes. For example, when the user's wrist is positioned above the first electrode group 521 by the protrusion electrodes 721 and 722, the two electrodes included in the first electrode group 521 may contact the user's wrist. have. When the user's wrist is positioned above the second electrode group 522 by the protruding electrodes 721 and 722, the two electrodes included in the second electrode group 522 may contact the user's wrist. When the user's wrist is positioned above the third electrode group 523 by the protruding electrodes 721 and 722, the two electrodes included in the third electrode group 523 may contact the user's wrist.

The protruding electrodes 721 and 722 may be periodically arranged along the base electrode 710 . Due to the periodic formation of the protruding electrodes 721 and 722, the contact area between the user's wrist and the electrodes is widened, thereby reducing noise in the electrical signal, and the health monitoring device 100 can obtain a stable electrical signal. Accordingly, the accuracy of the electrocardiogram may be increased.

In addition, the 1-1 electrode, the 1-2 electrode, the 2-1 electrode, the 2-2 electrode, the 3-1 electrode, and the 3-2 electrode may include a tail portion 730 . The tail portion 730 may be included in the base electrode 710 . The tail portion 730 may extend from the base electrode 710 . The tail portion 730 may also be configured to increase a contact area with the user's wrist. For example, the tail portion 730 of the 1-1 electrode faces the protruding electrodes 721 and 722 of the 1-2 electrode, thereby increasing the contact area with the user's body.

One protruding electrode 740 included in the other electrode may be positioned between two consecutive protruding electrodes 720 included in one electrode. For example, one protruding electrode included in the 1-2 electrode may be positioned between two consecutive protruding electrodes included in the 1-1 electrode. In addition, one protruding electrode included in the 1-1st electrode may be positioned between two consecutive protruding electrodes included in the 1-2nd electrode. In addition, one protruding electrode included in the 2-2nd electrode may be positioned between two consecutive protruding electrodes included in the 2-1st electrode. In addition, one protruding electrode included in the 2-1 electrode may be positioned between two consecutive protruding electrodes included in the 2-2 electrode. In addition, one protruding electrode included in the 3-2 electrode may be positioned between two consecutive protruding electrodes included in the 3-1 electrode. In addition, one protruding electrode included in the 3-1 electrode may be positioned between two consecutive protruding electrodes included in the 3-2 electrode. As such, when one protruding electrode 740 included in the other electrode is positioned between two consecutive protruding electrodes 720 included in one electrode, the minimum distance between one electrode and the other electrode is 5 mm to 10 mm or less. can have a value of

Referring back to FIG. 5 , the health monitoring device 100 may include a controller 530 . The controller 530 may obtain the user's electrocardiogram based on the electrical signal. The electrical signal received by the controller 530 may be a low-power signal. The controller 530 may remove noise components from the electrical signal using an electrical filter and a software filter. In addition, the controller 530 may perform R-peak to R-peak interval (RRI) analysis, fast Fourier transform (FFT) analysis, and the like on the electrical signal. The controller 530 may obtain at least one of the user's electrocardiogram and electrocardiogram analysis result through the above process. In addition, the controller 530 may transmit at least one of the user's electrocardiogram and electrocardiogram analysis result to the user terminal 310 .

In addition, the user terminal 310 may receive at least one of the user's electrocardiogram and electrocardiogram analysis result from the health monitoring device 100 . When the user terminal 310 receives the user's electrocardiogram, the user terminal 310 may obtain an electrocardiogram analysis result based on the user's electrocardiogram. The user terminal 310 may store at least one of a user's electrocardiogram and an electrocardiogram analysis result. In addition, the user terminal 310 may transmit at least one of the user's electrocardiogram and the electrocardiogram analysis result to the server 320 . When the server 320 receives the user's electrocardiogram from the user terminal, the server 320 may obtain an electrocardiogram analysis result based on the user's electrocardiogram. The server 320 may store at least one of a user's electrocardiogram and an electrocardiogram analysis result.

Also, the controller 530 may control the health monitoring device. The controller 530 may include a processor or memory. The controller 530 may operate based on commands stored in memory. Also, the control unit 530 may include a communication unit for communicating with other devices. The controller 530 may communicate with the user terminal 310 based on the communication unit. The controller 530 may transmit the obtained electrocardiogram to the user terminal 310 . Also, the control unit 530 may include an input unit for receiving a signal and an output unit for outputting a signal.

In the above, the configuration for obtaining the electrocardiogram by the controller 530 has been described, but is not limited thereto. The controller 530 may transmit the electrical signal received from the electrode module 520 to the user terminal 310 . The user terminal 310 may obtain an electrocardiogram based on the received electrical signal. In addition, the user terminal 310 may obtain an analysis result by analyzing the electrocardiogram.

The health monitoring device 100 may include an upper cover 540 . The upper cover 540 may be coupled to the upper side of the lower cover 510 . The upper cover 540 and the lower cover 510 may be screwed together. When the upper cover 540 and the lower cover 510 are coupled, a space is formed between the upper cover 540 and the lower cover 510, and the control unit 530 may be included in the formed space. Also, the upper cover 540 or the lower cover 510 may protect the control unit 530 and wires. The wire may be a component for transmitting and receiving electrical signals between the control unit 530 and the electrode module 520.

The upper cover 540 may have a groove corresponding to the electrode module 520 formed therein. That is, the upper cover 540 may have a groove corresponding to the shape of the electrode module 520 . The electrode module 520 may be inserted into and coupled to a groove formed in the upper cover 540 . When the electrode module 520 is coupled to the upper cover 540, the electrode module 520 may protrude from the upper surface of the upper cover 540. Accordingly, the user's wrist may contact the electrode module 520 .

8 is a flowchart illustrating an operating method of a health monitoring device according to an embodiment of the present disclosure.

The controller 530 may perform a step of selecting two electrode groups from among the first to third electrode groups based on electrical signals from the first to third electrode groups. Also, the controller 530 may perform a step of obtaining an electrocardiogram of the user based on the two selected electrode groups.

The controller 530 may perform step 810 of receiving electrical signals from the first electrode group 521 to the third electrode group 523 . Also, as described above, the first electrode group 521 to the third electrode group 523 may acquire signals of signal electrodes with respect to the ground electrode as electrical signals. The first electrode group 521 to the third electrode group 523 may transmit the obtained signal to the controller 530 .

When the electrical signal received from at least one of the first electrode group 521 to the third electrode group 523 is a valid signal, the controller 530 may control electrocardiogram measurement to start. That is, the controller 530 may perform a preliminary measurement process of acquiring an electrical signal from at least one of the first electrode group 521 to the third electrode group 523 before electrocardiogram measurement starts. The preliminary measurement process may be a process for determining whether the user's body has touched the electrode. In addition, the controller 530 may perform a process of determining whether an electrical signal received from at least one of the first electrode group 521 to the third electrode group 523 corresponds to a person's electrocardiogram through a preliminary measurement process. In order to determine whether the electrocardiogram corresponds to a person, the controller 530 may determine whether a similarity obtained by comparing a pre-stored electrocardiogram signal with a measured electrical signal is greater than or equal to a threshold value. When the degree of similarity is greater than or equal to a threshold value, the controller 530 may determine that the received electrical signal corresponds to a person's electrocardiogram. Also, the controller 530 may perform an actual electrocardiogram measurement process. The actual electrocardiogram measurement process may be a process for actually measuring the user's electrocardiogram.

In addition, the controller 530 may perform step 820 of determining whether the electrical signals received from the first electrode group 521 to the third electrode group 523 are related to the electrocardiogram. The controller 530 may store a predetermined pattern associated with the electrocardiogram. The ECG signal may have a predetermined pattern. Because the heart moves periodically, the electrocardiogram shows the electrical activity of the heart. The control unit 530 compares the electrical signals received from the first electrode group 521 to the third electrode group 523 with a predetermined pattern, and compares the electrical signals received from the first electrode group 521 to the third electrode group 523. It can be determined whether the electrical signal is correlated with the electrocardiogram. For example, the control unit 530 calculates the similarity between the predetermined pattern and the electrical signal received from the first electrode group 521 to the third electrode group 523, and if the similarity is greater than or equal to a threshold value, the received electrical signal is converted to an electrocardiogram. can be determined to be associated with In addition, the controller 530 calculates the similarity between the predetermined pattern and the electrical signals received from the first electrode group 521 to the third electrode group 523, and determines two electrical signals corresponding to the two electrical signals having the highest similarity. Electrode groups can be selected.

The controller 530 may determine whether two or more electrical signals related to the electrocardiogram are received from among the electrical signals received from the first electrode group 521 to the third electrode group 523 . The controller 530 controls the number of electrical signals related to the electrocardiogram among the electrical signals received from the first electrode group 521 to the third electrode group 523 to be less than one.

The controller 530 may perform the following steps when there are two or more electrical signals related to the electrocardiogram among the electrical signals received from the first electrode group 521 to the third electrode group 523 .

The controller 530 may perform step 830 of selecting two electrode groups corresponding to electrical signals related to the electrocardiogram from the first to third electrode groups. When there are two electrical signals associated with the ECG, the controller 530 may select two electrode groups corresponding to the electrical signals. Also, based on the electrical signals obtained from the two selected electrode groups, the health monitoring device 100 may obtain an electrocardiogram. For example, the health monitoring device 100 may determine electrical signals acquired from the two selected electrode groups as electrocardiograms. The electrocardiogram may include an electrocardiogram related to the left arm and an electrocardiogram related to the right arm.

Also, when there are three electrical signals associated with the electrocardiogram, the controller 530 may perform the following process to select two electrode groups corresponding to the electrical signals.

The controller 530 may determine a first similarity between the electrical signals of the first electrode group and the electrical signals of the second electrode group. Also, the controller 530 may determine a second similarity between the electrical signals of the second electrode group and the electrical signals of the third electrode group. When the first similarity is greater than the second similarity, the controller 530 may generate a first representative electrical signal based on the first electrode group and the second electrode group. For example, an average of the electrical signals of the first electrode group and the electrical signals of the second electrode group may be generated as the first representative electrical signal. Alternatively, a predetermined one of the electrical signal of the first electrode group and the electrical signal of the second electrode group may be generated as the first representative electrical signal. In addition, the health monitoring device 100 may obtain an electrocardiogram based on the electrical signal of the third electrode group and the first representative electrical signal. For example, the health monitoring device 100 may determine the electrical signal of the third electrode group and the first representative electrical signal as an electrocardiogram. For example, the electrical signal of the third electrode group may represent the ECG of the right wrist, and the second representative electrical signal may represent the ECG of the left wrist.

When the first similarity is smaller than the second similarity, the controller 530 may generate a second representative electrical signal based on the second electrode group and the third electrode group. For example, the average of the electrical signals of the second electrode group and the electrical signals of the third electrode group may be generated as the second representative electrical signal. Alternatively, a predetermined one of the electrical signal of the second electrode group and the electrical signal of the third electrode group may be generated as the second representative electrical signal. Also, based on the electrical signal of the first electrode group and the second representative electrical signal, the health monitoring device 100 may obtain an electrocardiogram. For example, the health monitoring device 100 may determine the electrical signal of the first electrode group and the second representative electrical signal as an electrocardiogram. For example, an electrical signal of the first electrode group may indicate an electrocardiogram of a left wrist, and a second representative electrical signal may indicate an electrocardiogram of a right wrist.

When the first similarity is equal to the second similarity, the controller 530 may receive electrical signals from the first electrode group 521 to the third electrode group 523 again.

According to various embodiments of the present disclosure, the control unit 530 calculates the similarity between the predetermined pattern and the electrical signals received from the first electrode group 521 to the third electrode group 523, and selects two signals having the highest similarity. Two electrode groups corresponding to electrical signals can be selected. Also, based on the electrical signals obtained from the two selected electrode groups, the health monitoring device 100 may obtain an electrocardiogram. For example, the health monitoring device 100 may determine electrical signals acquired from the two selected electrode groups as electrocardiograms.

As such, the controller 530 can automatically determine the electrode group with which the user's body is in contact. Therefore, since the health monitoring device 100 can be operated without a user's separate manipulation, user convenience can be increased.

When performing step 820 of determining whether the electrical signals received from the first electrode group 521 to the third electrode group 523 are related to the electrocardiogram, the controller 530 further performs the following process. can

The controller 530 may store a predetermined pattern associated with the electrocardiogram. The ECG signal may have a predetermined pattern. The predetermined pattern may include a predetermined pattern for the left hand and a predetermined pattern for the right hand. Since the heart is on the left side, the reading of the signals contained in the pre-determined pattern for the left hand can be further counted. The control unit 530 compares the two predetermined patterns with the electrical signals received from the first electrode group 521 to the third electrode group 523, and from the first electrode group 521 to the third electrode group 523. It may be determined whether the received electrical signal is correlated with the electrocardiogram of the left hand or the electrocardiogram of the right hand. The control unit 530 compares a predetermined pattern for the left hand with the electrical signals received from the first electrode group 521 and the second electrode group 522 to generate the first electrode group 521 and the second electrode group 522. It is possible to determine whether the electrical signal received from the left hand is related to the electrocardiogram. The control unit 530 compares a predetermined pattern for the right hand with electrical signals received from the second electrode group 522 and the third electrode group 523 to generate the second electrode group 522 and the third electrode group 523. It is possible to determine whether the electrical signal received from the right hand is related to the electrocardiogram.

The controller 530 may calculate a similarity between a predetermined pattern for the left hand and electrical signals received from the first electrode group 521 and the second electrode group 522 . The controller 530 may calculate a first similarity between a predetermined pattern for the left hand and an electrical signal of the first electrode group 521 . The controller 530 may calculate a second similarity between the predetermined pattern for the left hand and the electrical signal of the second electrode group 522 . The controller 530 may calculate a third similarity between the electric signal of the second electrode group 522 and the predetermined pattern for the right hand. The controller 530 may calculate a fourth similarity between the predetermined pattern for the right hand and the electric signal of the third electrode group 523 .

The controller 530 may determine whether at least one of the first similarity and the second similarity is equal to or greater than a predetermined threshold similarity and at least one of the third similarity and the fourth similarity is equal to or greater than a predetermined threshold similarity. If this condition is not satisfied, the controller 530 may acquire electrical signals from the first electrode group 521 to the third electrode group 523 again. If this condition is satisfied, the following process can be further performed.

The controller 530 may determine a higher value among the first similarity and the second similarity. When the first similarity is high, the controller 530 may obtain an electrocardiogram of the user's left hand based on the electrical signal of the first electrode group 521 . When the second similarity is high, the controller 530 may obtain an electrocardiogram of the user's left hand based on the electrical signal of the second electrode group 522 . Also, the controller 530 may determine a higher value among the third similarity and the fourth similarity. When the fourth degree of similarity is high, the controller 530 may obtain an electrocardiogram of the left hand of the user based on the electrical signal of the third electrode group 523 . When the third degree of similarity is high, the controller 530 may obtain an electrocardiogram of the user's left hand based on the electrical signal of the second electrode group 522 . If the first similarity is smaller than the second similarity and the fourth similarity is smaller than the third similarity, the control unit 530 may obtain electrical signals from the first electrode group 521 to the third electrode group 523 again. have.

According to various embodiments of the present disclosure, the health monitoring device 100 may include a switch 550. The switch 550 may be a component for selecting a mode of the health monitoring device 100 . The health monitoring device 100 may include a first mode and a second mode. Switch 550 may be a toggle switch. When the button of the switch 550 is on one side, the mode of the health monitoring device 100 may be the first mode. Also, when the button of the switch 550 is on the other side, the mode of the health monitoring device 100 may be the second mode.

As already described, the first electrode group 521 may be positioned at the leftmost side of the health monitoring device 100 . Also, the second electrode group 522 may be located in the middle of the health monitoring device 100 . Also, the third electrode group 523 may be located on the right side of the health monitoring device 100 .

* At this time, when the switch 550 is in the first mode, the second electrode group and the third electrode group may be short-circuited to form a first short-circuit group. The first mode may be a right-handed mode. A signal electrode included in the second electrode group 522 may be shorted to a signal electrode included in the third electrode group 523 . A ground electrode included in the second electrode group 522 may be shorted to a ground electrode included in the third electrode group 523 . For example, the 2-1 electrode included in the second electrode group 522 may be short-circuited with the 3-1 electrode included in the third electrode group 523 . Also, the 2-2 electrode included in the second electrode group 522 may be short-circuited with the 3-2 electrode included in the third electrode group 523 .

Referring to FIG. 4 , in the case of the first mode, the electrical signal obtained by the second electrode group 522 from the user's body and the electrical signal obtained by the third electrode group 523 from the user's body may be the same. . If the user is right-handed, the user's left hand will be on the keyboard, and the user's right hand may be on the keyboard or on the mouse. When the user's right hand is on the keyboard, the second electrode group 522 may contact the wrist of the user's right hand. Also, when the user's right hand is on the mouse, the third electrode group 523 may contact the wrist of the user's right hand. That is, the first short-circuit group formed by shorting the second electrode group 522 and the third electrode group 523 may contact the wrist of the user's right hand to measure the user's electrocardiogram. As described above, the health monitoring device according to the present disclosure has an advantage in that the user's electrocardiogram can be measured without problems even if the user's right hand is on the keyboard or mouse.

The controller 530 may obtain the user's electrocardiogram based on the electrical signals of the first electrode group 521 and the first short group. The first electrode group 521 may acquire an electrical signal by contacting the wrist of the user's left hand. The health monitoring device 100 may acquire an electrocardiogram based on the electrical signal of the first electrode group 521 . For example, the electrical signal of the first electrode group 521 may be an electrocardiogram. In addition, the first paragraph group may contact the wrist of the user's right hand to obtain an electrical signal. The health monitoring device 100 may acquire an electrocardiogram based on the electrical signal of the first short group. The health monitoring device 100 may periodically acquire electrocardiograms from both arms of the user. Since the health monitoring device 100 of the present disclosure can frequently measure the electrocardiogram, it is possible to quickly determine an abnormality in the user's health.

In the second mode, arrangements of the keyboard, mouse, and health monitoring device 100 may be different. This will be described with reference to FIG. 9 .

9 is a diagram illustrating a health monitoring device according to an embodiment of the present disclosure.

When the switch 550 is in the second mode, the first electrode group and the second electrode group may be short-circuited to form a second short-circuit group. The second mode may be a left-handed mode. A signal electrode included in the first electrode group 521 may be shorted to a signal electrode included in the second electrode group 522 . A ground electrode included in the first electrode group 521 may be shorted to a ground electrode included in the second electrode group 522 . For example, the 1-1 electrode included in the first electrode group 521 may be short-circuited with the 2-1 electrode included in the second electrode group 522 . In addition, the first-second electrodes included in the first electrode group 521 may be short-circuited with the second-second electrodes included in the second electrode group 522 .

In the case of the second mode, the electrical signal obtained from the body of the user by the first electrode group 521 and the electrical signal obtained from the body of the user by the second electrode group 522 may be the same. If the user is left-handed, the user's right hand will be on the keyboard, and the user's left hand may be on the keyboard or on the mouse. When the user's left hand is on the keyboard, the second electrode group 522 may contact the wrist of the user's left hand. Also, when the user's left hand is on the mouse, the first electrode group 521 may contact the wrist of the user's left hand. That is, the second short-circuit group formed by shorting the first electrode group 521 and the second electrode group 522 may contact the wrist of the user's left hand to measure the user's electrocardiogram. As described above, the health monitoring device according to the present disclosure has the advantage of measuring the user's electrocardiogram without problems even if the user's left hand is on the keyboard or mouse.

The controller may obtain the user's electrocardiogram based on the electrical signals of the third electrode group 523 and the second short group. The third electrode group 523 may obtain an electrical signal by contacting the wrist of the user's right hand. The health monitoring device 100 may obtain an electrocardiogram from an electrical signal of the third electrode group 523 . In addition, the second paragraph group may acquire an electrical signal by coming into contact with the wrist of the user's left hand. The health monitoring device 100 may acquire an electrocardiogram based on the electrical signal of the second short group. The health monitoring device 100 may periodically acquire electrocardiograms from both arms of the user. Since the health monitoring device 100 of the present disclosure can frequently measure the electrocardiogram, it is possible to quickly determine an abnormality in the user's health.

According to various embodiments of the present disclosure, the health monitoring device 100 may include a pressure sensor or a contact temperature sensor. The pressure sensor may be respectively disposed under the first electrode group 521 , the second electrode group 522 , and the third electrode group 523 . The health monitoring device 100 determines whether the pressure sensors disposed under the first electrode group 521, the second electrode group 522, and the third electrode group 523 have values equal to or greater than a predetermined threshold pressure. Accordingly, it may be determined that the user has placed a hand or a wrist on the corresponding electrode group. For example, in the health monitoring device 100, the pressure measured by the pressure sensor located below the first electrode group 521 is higher than a predetermined threshold pressure and measured by the pressure sensor located below the second electrode group 522. When one pressure is higher than a predetermined threshold pressure, it may be determined that the user is placing his/her wrist on the first electrode group 521 and the second electrode group 522 .

In addition, the contact temperature sensor may be disposed on at least one of the front, rear, left, and right sides of the first electrode group 521 , the second electrode group 522 , and the third electrode group 523 , respectively. The health monitoring device 100 determines whether contact temperature sensors disposed near the first electrode group 521, the second electrode group 522, and the third electrode group 523 have values within a predetermined range of body temperature. Based on this, it may be determined that the user has placed his/her hand or wrist on the corresponding electrode group. The contact temperature sensor may measure the temperature directly from the user's wrist or hand, but may measure the user's hand or wrist by measuring the temperature of an electrode. This is because when the electrode is made of metal, the thermal conductivity is high. The predetermined range of body temperature may be approximately 36 degrees or more and 38 degrees or less. For example, in the health monitoring device 100, the temperature measured by the contact temperature sensor located near the first electrode group 521 is included in a predetermined body temperature range and the contact located near the second electrode group 522 When the temperature measured by the temperature sensor is within a predetermined range of body temperature, it may be determined that the user is placing his/her wrist on the first electrode group 521 and the second electrode group 522 .

10 is a diagram for explaining a machine learning model according to an embodiment of the present disclosure.

The controller 530 may apply the user's electrocardiogram to the machine learning model to obtain information about the disease. Here, the machine learning model may be a machine learning model of a correlation between the user's electrocardiogram and information about a disease. More specifically, the machine learning model may be generated by the following process.

The server 320 may collect a large amount of past electrocardiograms 1011 and information 1012 on past diseases. The data recognition unit 120 of the server 320 may generate the machine learning model 1020 by machine learning the correlation between the past electrocardiogram 1011 and the information 1012 on past diseases. The past electrocardiogram 1011 may be a data set. In addition, the information 1012 on past diseases may be label information on a data set. The information 1012 about a past disease may be a ground truth value. The target task may be to predict information about a disease from a user's electrocardiogram. Information on past diseases may be values recorded by medical personnel. Information on past diseases may correspond to past electrocardiograms 1011 . Information on a past disease may be identification information on a disease. Identification information about the disease may be a combination of text or numbers. Identification information on a disease may correspond one-to-one with diseases such as arrhythmia, sudden increase in stress, and myocardial infarction. Since the step of generating the machine learning model 1020 has been described with reference to FIG. 1 , a detailed description thereof will be omitted.

The server 320 may store the generated machine learning model 1020 . The server 320 may transmit the machine learning model 1020 to another device wired or wireless. The health monitoring device 100 may store the generated machine learning model 1020 .

The health monitoring device 100 may acquire the electrocardiogram 1030 . The electrocardiogram 1030 may be obtained based on electrical signals of the first electrode group 521 to the third electrode group 523 . Since the process of acquiring the electrocardiogram 1030 has already been described, duplicate descriptions will be omitted.

The health monitoring device 100 may apply the electrocardiogram 1030 to the machine learning model 1020 to output disease information 1040 . The disease information 1040 may indicate a disease predicted based on the electrocardiogram 1030 . The disease information 1040 may be identification information about the disease. The identification information on the disease may be a combination of text or numbers. Identification information on diseases may correspond one-to-one with diseases such as arrhythmia, rapid increase in stress, and myocardial infarction.

The health monitoring device 100 may output information 1040 on diseases. Alternatively, the health monitoring device 100 may transmit disease information 1040 to the user terminal 310 . The user terminal 310 may output information 1040 on the disease. The user can check the information 1040 on the output disease. In addition, the user terminal 310 may transmit a notification message to an external hospital/administrator/acquaintance when the disease information 1040 is the same as predetermined critical information. The predetermined fatality information may indicate a case in which the user is in an emergency state. The user may be unable to seek help due to illness. The user terminal 310 may provide help to the user by sending a notification message to an external hospital/administrator/acquaintance.

11 shows an exploded view of a health monitoring device according to an embodiment of the present disclosure. 12 is a perspective view of a health monitoring device according to an embodiment of the present disclosure.

The same description as the description of the health monitoring device 100 disclosed in FIGS. 1 to 10 may be applied to the health monitoring device 100 disclosed in FIGS. 11 and 12 . Hereinafter, differences from the health monitoring device 100 of FIGS. 1 to 10 will be mainly described.

Referring to FIGS. 11 and 12 , the health monitoring device 100 may be located near a keyboard and measure an electrocardiogram of a user using a keyboard or a mouse. The health monitoring device 100 may be located behind the keyboard 410 to support the user's wrist. Here, the rear means the back when the user sits with the keyboard in front. The health monitoring device 100 may support the user's wrist using the keyboard.

The health monitoring device 100 may include a base module 1110 . The base module 1110 may include a guide 1111 extending left and right so that the electrode modules 1130 and 1140 can move left and right. The base module 1110 may include a moving part 1112 for being coupled to the electrode modules 1030 and 1040 on the guide 1111 .

The health monitoring device 100 may include an upper cover 1120 . The upper cover 1120 may be coupled to the upper side of the base module 1110 . The upper cover 1120 and the base module 1110 may be screwed together. When the top cover 1120 and the base module 1110 are coupled, a space is formed between the top cover 1120 and the base module 1110, and the control unit 530 can be mounted in the formed space. Also, the upper cover 1120 or the base module 1110 may protect the control unit 530 and wires. The wire may be a component for transmitting and receiving electrical signals between the controller 530 and the electrode modules 1130 and 1140 .

The health monitoring device 100 may include electrode modules 1130 and 1140 . The electrode modules 1130 and 1140 are coupled to the base module and may move left and right on the base module along the guide 1111 extending left and right. The electrode modules 1130 and 1140 may obtain electrical signals by contacting the user's wrist. The electrode modules 1130 and 1140 may include a first electrode module 1130 and a second electrode module 1140 .

The electrode modules 1130 and 1140 may include a coupling part 1133 for coupling with the moving part 1112 . The moving unit 1112 may be configured to move left and right on the guide 1111 . The coupling unit 1133 may be configured to couple the electrode modules 1130 and 1140 and the moving unit 1112 to each other. Since the electrode modules 1130 and 1140 are combined with the moving unit 1112, they can move left and right. Accordingly, even if the user moves his/her hand to use the keyboard or mouse, the user's wrist may come into contact with the electrode modules 1130 and 1140 .

The coupling part 1133 may be coupled with the rotating part 1132 . The electrode modules 1130 and 1140 may include a rotating part 1132 that allows the wrist rest 1131 to rotate about the z-axis. The z-axis may mean an upper side. The upper side may be a direction perpendicular to the ground including front, rear, left and right directions. Rotating part 1132 may be a rotating bearing. The rotation unit 1132 allows the wrist rest 1131 to be rotatable about the z-axis, so that the user can comfortably place his or her wrist on the wrist rest 1131 .

The electrode modules 1130 and 1140 may include a wrist rest 1131 . The wrist rest 1131 may include at least two electrodes. Electrodes can be conductors. The electrodes may be metal or silicon electrodes. The electrodes may be connected to the controller 530 by wires. The metal used for the electrode may be SUS (Steel Use Stainless) or nickel chrome plated metal. In addition, when a silicon electrode is used as an electrode, the user can feel comfortable because it does not give a cold feeling to the user's wrist and does not press the user's wrist.

The health monitoring device 100 may include a pressure sensor. The pressure sensor may be located under the electrode module. The pressure sensor may be located in the base module 1110. Alternatively, the pressure sensor may be included in the moving part 1112 or the rotating part 1132. The pressure sensor may detect whether or not the user places his/her wrist on the electrode module. The pressure sensor can be replaced with a switch that is depressed by pressure. The switch may be a tact switch or a push button switch. When the switch is pressed, it may indicate that the user's arm is on the electrode module. In addition, when the switch is not pressed, it may indicate that the user's arm is not on the electrode module.

The pressure sensor can be replaced with a contact temperature sensor. The contact temperature sensor may measure the temperature of a contacted object. The health monitoring device 100 may detect whether the wrist is placed on the electrode module based on the temperature from the contact temperature sensor. When the contact temperature sensor measures a temperature within the range of human body temperature, the health monitoring device 100 may determine that the wrist is placed on the electrode module. For example, the range of body temperature may be approximately 36 degrees or more and 38 degrees or less. Also, the health monitoring device 100 may determine whether the user's body temperature is within a normal range based on the contact temperature sensor. For example, when the user's body temperature measured by the contact temperature sensor is within a normal range, the health monitoring device 100 may determine that the user's wrist or hand is placed on the electrode module. For example, the normal range may be greater than 36 degrees and less than 38 degrees. In addition, when the user's body temperature measured by the contact temperature sensor is in the abnormal range, the health monitoring device 100 determines that the user's wrist or hand is placed on the electrode module and indicates that the user's body temperature is in the abnormal range. You can create an alarm. For example, the abnormal range may be greater than 34 degrees and less than 36 degrees, or greater than 38 degrees and less than 40 degrees. The health monitoring device 100 may transmit an alarm and a body temperature value to the user terminal 310 . The user terminal 310 may output an alarm and a body temperature value as sound or light. Also, the user terminal 310 may transmit an alarm and a body temperature value to the server 320 . Therefore, the user can easily know that there is an abnormality in his or her health. In addition, the company that manages the user can quickly know that there is an abnormality in the user's health and take necessary measures.

The health monitoring device 100 may include a controller 530. The controller 530 may obtain an electrocardiogram of the user based on signals received from the electrode modules 1130 and 1140 and signals received from the pressure sensor.

The first electrode module 1130 may be located on the left side of the second electrode module 1140 . The controller 530 may obtain information about the hand holding the mouse. For example, the controller 530 may receive information about the hand holding the mouse from the user terminal 310 . Alternatively, the controller 530 may store information about the hand holding the mouse in advance. The information on the hand holding the mouse may indicate whether the user's hand holding the mouse is the left hand or the right hand.

The control unit 530 controls at least one of a signal received from the first electrode module 1130 and a signal received from the second electrode module 1140 based on at least one of information about the hand holding the mouse and a signal from a pressure sensor. An electrocardiogram of the user may be acquired using

More specifically, the controller 530 may compare the signal of the pressure sensor with the first threshold pressure and the second threshold pressure. The first threshold pressure and the second threshold pressure may be pre-stored values. The second threshold pressure may be greater than the first threshold pressure. When the signal of the pressure sensor is greater than the second threshold pressure, the control unit 530 obtains the user's electrocardiogram using the signal received from the first electrode module 1130 and the signal received from the second electrode module 1140. can If the signal of the pressure sensor is greater than the second threshold pressure, it may indicate that both hands of the user are on the health monitoring device 100 .

More specifically, the controller 530 may obtain an electrocardiogram from an electrical signal of the first electrode module 1130 . Also, the controller 530 may obtain an electrocardiogram from an electrical signal of the second electrode module 1140 .

The health monitoring device 100 may include a third electrode module that obtains an electrical signal by contacting a user's hand using a mouse. The third electrode module may be formed on the mouse.

When the signal of the pressure sensor is less than or equal to the second threshold pressure and greater than the first threshold pressure, and the information on the hand holding the mouse indicates the right hand, the control unit 530 determines the signal received from the first electrode module and the second threshold pressure. The user's electrocardiogram can be obtained using the signal received from the three-electrode module. When the signal of the pressure sensor is less than or equal to the second threshold pressure and greater than the first threshold pressure, it may mean that only one hand of the user is on top of the health monitoring device 100 . The user's other arm may be placed on the mouse. Accordingly, the controller 530 may obtain an electrocardiogram using the third electrode module included in the mouse. In addition, when the information on the hand holding the mouse indicates the right hand, it may indicate that the left hand is on the keyboard. That is, it may indicate that the left hand is on the health monitoring device 100 . Accordingly, the controller 530 may obtain an electrocardiogram using the first electrode module 1130 on the left side of the second electrode module 1140 .

When the signal of the pressure sensor is equal to or less than the second threshold pressure and greater than the first threshold pressure, and the information on the hand holding the mouse indicates the left hand, the control unit 530 determines the signal received from the second electrode module and the second threshold pressure. The user's electrocardiogram can be obtained using the signal received from the three-electrode module. When the signal of the pressure sensor is less than or equal to the second threshold pressure and greater than the first threshold pressure, it may mean that only one hand of the user is on top of the health monitoring device 100 . The user's other arm may be placed on the mouse. Accordingly, the controller 530 may obtain an electrocardiogram using the third electrode module included in the mouse. In addition, when the information on the hand holding the mouse indicates the left hand, it may indicate that the right hand is on the keyboard. That is, it may indicate that the right hand is on top of the health monitoring device 100 . Accordingly, the controller 530 may acquire an electrocardiogram using the second electrode module 1140 located on the right side of the first electrode module 1130 .

A pressure sensor may be included in the base module 1110 . The health monitoring device 100 may include one pressure sensor and may operate as described above. However, it is not limited thereto, and the health monitoring device 100 may include two pressure sensors.

More specifically, the pressure sensor may include a first pressure sensor located below the first electrode module 1130 and a second pressure sensor located below the second electrode module 1140 .

The control unit 530 uses at least one of a signal received from the first electrode module 1130 and a signal received from the second electrode module 1140 based on the signals of the first pressure sensor and the second pressure sensor to determine the user's Electrocardiogram can be obtained.

The controller 530 may determine whether the signal of the first pressure sensor indicates that the user has placed his/her wrist on the first electrode module 1130 . It may be determined whether the signal of the second pressure sensor indicates that the user has placed his/her wrist on the second electrode module 1140 .

When the signal of the first pressure sensor indicates that the user has placed the wrist on the first electrode module 1130 and the signal of the second pressure sensor indicates that the user has placed the wrist on the second electrode module 1140 , The user's electrocardiogram may be obtained using the signal received from the first electrode module 1130 and the signal received from the second electrode module 1140 . That is, the controller 530 may obtain an electrocardiogram based on the electrical signals received from the first electrode module 1130 and the second electrode module 1140 .

The control unit 530 indicates that the signal of the first pressure sensor indicates that the user has placed his/her wrist on the first electrode module 1130, and the signal of the second pressure sensor indicates that the user has placed his or her wrist on the second electrode module 1140. If it indicates that it is not released, the user's electrocardiogram may be acquired using the signal received from the first electrode module 1130 and the signal received from the third electrode module.

In addition, the controller 530 determines that the signal of the first pressure sensor indicates that the user has not placed his/her wrist on the first electrode module, and the signal of the second pressure sensor indicates that the user has placed his/her wrist on the second electrode module. When indicated, the user's electrocardiogram may be obtained using the signal received from the second electrode module and the signal received from the third electrode module.

In this way, by using the pressure sensor, the controller 530 may automatically select an electrode module to obtain an electrocardiogram. Also, an electrocardiogram may be obtained based on electrical signals received from the selected two electrode modules. Accordingly, the health monitoring device 100 may periodically acquire electrocardiograms of the user's left hand and right hand without a user's separate manipulation. Therefore, the health monitoring device 100 can improve the user's health.

The health monitoring device 100 described above may monitor changes in the electrocardiogram during the user's long-time work, and output a notification to the user terminal 310 when a state of increased stress is determined. In addition, the user terminal 310 may output a message recommending rest or workload control along with a notification. Therefore, the user can effectively manage his or her stress. In addition, the health monitoring device 100 of the present disclosure may be utilized in a company's employee assistance program (EAP) to actively manage employee stress. For example, a company could monitor a user's stress and recommend a break if an increase in stress is detected. Work efficiency decreases when stress increases, so an employee support program can help them return to work after stress relief. Therefore, the work efficiency of the user may be increased.

In addition, there is an increasing trend of health abnormalities, obesity, and various adult diseases due to recent long hours of work. The health monitoring device 100 of the present disclosure measures the electrocardiogram, analyzes it with an AI algorithm, recommends exercise periodically, and outputs an active alarm for disease prevention, so that the user can quickly take action according to his/her health abnormalities. let it be

13 is a diagram illustrating a health monitoring device according to an embodiment of the present disclosure. 14 is a diagram illustrating electrodes included in a health monitoring device according to an embodiment of the present disclosure.

According to one embodiment of the present disclosure, the health monitoring device 100 may be disposed on the left and right sides of the keyboard. The health monitoring device 100 may include a left health monitoring device 1310 and a right health monitoring device 1320 . When taking a break from using the keyboard, the user may place his or her palm or fingers on the health monitoring device 100 . For example, the user may place his left hand on the left health monitoring device 1310 . Also, the user may place his right hand on the right health monitoring device 1320 . When the user's finger or palm accesses the health monitoring device 100, the health monitoring device 100 may measure the user's electrocardiogram.

According to another embodiment of the present disclosure, the health monitoring device 100 may be included in a keyboard. An electrode may be included in at least one of a plurality of keys included in the keyboard. For example, the electrodes can be placed on the 'F' key and the 'J' key. When a user takes a break from using the keyboard, he/she may place his/her palm or fingers on the electrode of the keyboard. For example, the user may place his left index finger on the 'F' key of the keyboard. Also, the user can place his right index finger on the 'J' key of the keyboard. When the user's fingers or palms connect to the electrodes, the health monitoring device 100 included in the keyboard may measure the user's electrocardiogram.

Each of the above-described left health monitoring device 1310, right health monitoring device 1320, 'F' key or 'J' key may include at least one electrode. The shape of the electrode may be the same as that of FIG. 14 .

Referring to the plan view 1410 of the left health monitoring device 1310, the right health monitoring device 1320, the 'F' key or the 'J' key, the left health monitoring device 1310, the right health monitoring device 1320, The 'F' key or the 'J' key may include a signal electrode 1411 and a ground electrode 1412, respectively. However, it is not limited thereto, and the left health monitoring device 1310, the right health monitoring device 1320, the 'F' key or the 'J' key may include a signal electrode 1412 and a ground electrode 1411, respectively. .

Referring to the plan view 1420 of the left health monitoring device 1310, right health monitoring device 1320, 'F' key or 'J' key, left health monitoring device 1310, right health monitoring device 1320, The 'F' key or the 'J' key may include a signal electrode 1421 and a ground electrode 1422, respectively. However, it is not limited thereto, and the left health monitoring device 1310, the right health monitoring device 1320, the 'F' key or the 'J' key may include a signal electrode 1422 and a ground electrode 1421, respectively. .

Referring to a plan view 1430 of the 'F' key, the 'F' key may include a signal electrode 1431 and a ground electrode 1432. However, it is not limited thereto, and the 'F' key may include a signal electrode 1432 and a ground electrode 1431. Since one of the signal electrode or the ground electrode has an 'F' shape, a separate engraving on the key may not be necessary. In addition, since the electrode is a metal material or a silicon electrode, aesthetic effects may be excellent. In addition, since the electrodes are formed on the key, the health monitoring device 100 according to the present disclosure does not need to have a device including separate electrodes, and thus has an effect of realizing a minimalistic interior.

Referring to a plan view 1440 of the 'J' key, the 'J' key may include a signal electrode 1441 and a ground electrode 1442 . However, it is not limited thereto, and the 'J' key may include a signal electrode 1442 and a ground electrode 1441. Since one of the signal electrode or the ground electrode has a 'J' shape, it may not be necessary to separately engrave the key. In addition, since the electrode is a metal material or a silicon electrode, aesthetic effects may be excellent. In addition, since the electrodes are formed on the key, the health monitoring device 100 according to the present disclosure does not need to have a device including separate electrodes, and thus has an effect of realizing a minimalistic interior. The signal electrode and the ground electrode may have different colors. However, it is not limited thereto.

A minimum distance between the signal electrode and the ground electrode may be greater than or equal to 5 mm and less than or equal to 10 mm. The signal electrode and the ground electrode having such a distance have an effect of contacting the user's wrist with as many areas of the electrode as possible without causing a short circuit.

So far, we have looked at various embodiments. Those skilled in the art to which the present invention pertains will be able to understand that the present invention can be implemented in a modified form without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered from an illustrative rather than a limiting point of view. The scope of the present invention is shown in the claims rather than the foregoing description, and all differences within the equivalent scope will be construed as being included in the present invention.

On the other hand, the above-described embodiments of the present invention can be written as a program that can be executed on a computer, and can be implemented in a general-purpose digital computer that operates the program using a computer-readable recording medium. The computer-readable recording medium includes storage media such as magnetic storage media (eg, ROM, floppy disk, hard disk, etc.) and optical reading media (eg, CD-ROM, DVD, etc.).

Claims (1)

health monitoring device.

Images