KR102397066B1 - Apparatus for monitoring health - Google Patents

Abstract

The present invention relates to a health monitoring apparatus to accurately measure an electroencephalogram (EEG) when a user uses a keyboard and mouse. According to the present invention, the health monitoring apparatus comprises: a lower cover disposed near a keyboard to measure an EEG of a user who uses a keyboard or mouse, supporting the wrist of the user who uses the keyboard or mouse, having a plate shape extending left and right, and fixing at least one of components included in the health monitoring apparatus; an electrode module acquiring an electrical signal by coming in contact with the user's wrist; a control unit acquiring the EEG 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.

Description

HEALTH MONITORING DEVICE {APPARATUS FOR MONITORING HEALTH}

The present disclosure relates 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 mouse.

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

However, conventional medical devices are operated by medical staff capable of skillful manipulations with specialized knowledge, and devices capable of determining the results are expensive and generally unavailable to the general public.

A blood pressure monitor or thermometer is provided as equipment for self-diagnosis (measurement) of health conditions in general homes. In the case of a blood pressure monitor, information about high or low blood pressure, normal blood pressure, etc. can be obtained by measuring the user's blood pressure and displaying the value. do. However, since only a function to simply measure blood pressure and body temperature is provided with a blood pressure monitor or thermometer, etc., the user's health status, for example, more precise information on heartbeat, and information on human mental adjustment or relaxation process However, there is a limitation that information on mental relaxation or arousal due to stress could not be presented as a whole along with pulse and body temperature.

On the other hand, as a conventional medical device that can be used in general homes, there is a pulsimeter, which is an oriental medicine diagnostic equipment. This pulsimeter has the function of enabling pulsation by measuring the pulse wave at the fingertips, and the pattern of the measured pulse wave appears as a change in the pulse wave with age, and through the measurement, it is possible to distinguish up to 15 pulses, and It is a device that can identify various symptoms such as sclerosis, paralysis, speech disorders, heart failure, and parasympathetic hyperactivity.

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

In addition, there has been a case in which the mouse includes a configuration for monitoring the user's health in the prior art. However, since it is rare for a user to use only a mouse, a method for measuring the ECG of a user using a keyboard and mouse needs to be studied.

The present disclosure provides an apparatus capable of accurately measuring an electrocardiogram when a user uses a keyboard and a mouse. In addition, a device for notifying a user or an acquaintance of the user of whether the user's health is abnormal so that the user can take necessary measures is provided.

The method of operating the health monitoring device is performed in such a way that an electrode included in the keyboard palm rest and the user's wrist or palm come into contact with each other to measure an electrocardiogram signal. In order to determine whether the user's body is in contact with the electrode, it is possible to read the change in the pressure value of the pressure sensor configured in the health monitoring device, or check whether a valid signal is generated during the real-time monitoring of the ECG electrode. Also, when the user's body is in contact with the electrode, ECG measurement may be started. The measured ECG signal may be collected based on a monitoring program installed in the user terminal (eg, PC) and periodically transmit data to the ECG analysis server to analyze the 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 general keyboard/mouse palm rest type. In addition, the health monitoring device may include a fixed wrist rest type in which electrodes are fixed, and a movable wrist rest type in which the electrodes can move left and right + rotation. The electrode of the health monitoring device may include a signal electrode and a reference electrode for receiving a signal in contact with the user's body. In addition, the health monitoring device includes a PCB that collects each signal and a communication device that transmits the signal to a PC or other medium. The health monitoring device may use, as a power source, communication power of a data wire connection or by sharing 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 a part 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 the keyboard, measures the electrocardiogram of a user using the keyboard or mouse, and supports the wrist of the user using the keyboard or mouse, and the health monitoring device moves left and right It has an extended plate shape, and a lower cover for fixing at least one of the components included in the health monitoring device, an electrode module contacting the user's wrist to obtain an electrical signal, and acquiring the user's electrocardiogram based on the electrical signal, A control unit for controlling the health monitoring device, and a control unit coupled to the upper side of the lower cover to form a space therein, the control unit is mounted in the formed space, and an upper cover for protecting the control unit and wires, and in the 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 sequentially from the left to the right of the upper cover, the first electrode group, the second electrode group and the third the electrode group is disposed, the first electrode group includes the 1-1 electrode and the 1-2 electrode, the second electrode group includes the 2-1 electrode and the 2-2 electrode, and the third electrode group includes the first electrode group and the second electrode group. includes a 3-1 th electrode and a 3-2 electrode, and a 1-1 electrode, a 1-2 electrode, a 2-1 electrode, a 2-2 electrode, a 3-1 electrode, and a 3-th electrode At least one of the 2 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 is 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 each extend left and right. It includes a base electrode and a plurality of protruding electrodes periodically arranged along the base electrode, and one protruding electrode included in the first 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 th electrode, and a third-th protrusion electrode included in the 3-1 th electrode is positioned between the two consecutive protruding electrodes included in the 3-1 electrode. One protruding electrode included in the two electrodes is positioned.

The control unit 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 two selected electrode groups based on the user's ECG.

The control unit of the health monitoring device according to the present disclosure receives an electrical signal from a first electrode group to a third electrode group, and determines whether the electrical signal received from the first electrode group to the third electrode group is associated with an 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 the first mode or the second mode, and when the switch is in the first mode, the second electrode group and the third electrode group are short-circuited to open the first short-circuit group forming, the control unit acquires the user's electrocardiogram based on the electrical signal 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 short-circuited to cause the second short-circuit A group is formed, and the control unit acquires an electrocardiogram of the user 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 obtains information about a disease by applying the user's electrocardiogram to a machine learning model, and the machine learning model is a model obtained by machine learning the correlation between the user's electrocardiogram and information about the disease.

The health monitoring device according to the present disclosure is located near a keyboard, measures an electrocardiogram of a user who uses the keyboard or mouse, and supports the wrist of a user who uses the keyboard. The health monitoring device according to the present disclosure includes: A base module including a guide extending from side to side so that the electrode module can move from side to side, coupled to the base module, movable left and right on the base module along the guide extending from side to side, and receives an electrical signal by touching the user's wrist An electrode module to be acquired, a pressure sensor located under the electrode module that detects whether the user puts his or her wrist on the electrode module, and a signal received from the electrode module and a signal received from the pressure sensor based on the user's electrocardiogram It includes a control unit to obtain.

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 control unit acquires information about a hand gripping the mouse And, the user's electrocardiogram is obtained using at least one of a signal received from the first electrode module or a signal received from the second electrode module based on at least one of information about a hand holding the mouse or a signal from a 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 The user's electrocardiogram is obtained using the signal received from the second electrode module, and the second threshold pressure is greater than the first threshold pressure.

The health monitoring device according to the present disclosure includes a third electrode module that acquires an electrical signal by contacting a user's hand using a mouse, wherein the control unit has a signal from the pressure sensor that is less than or equal to a second threshold pressure, and the first When 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 obtained using the signal received from the first electrode module and the signal received from the third electrode module.

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

In addition, a program for implementing the method of operating 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 may accurately measure the user's electrocardiogram. In addition, modern people use a mouse and keyboard a lot, and since the ECG is automatically measured when the mouse and keyboard are used without the need for the user to consciously measure the ECG, the user's convenience is increased. In addition, since the ECG is measured periodically and frequently, it is possible to secure a large amount of data on the user's ECG to obtain big data. In addition, it is possible to immediately determine whether there is an abnormality in the user's health and notify the user or an acquaintance of the user. Accordingly, the health monitoring device may 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 apparatus, 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 view for explaining an electrode group according to an embodiment of the present disclosure.
7 is a view illustrating 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 a method of operating a health monitoring apparatus 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 is 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 an electrode 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 embodiments described below in conjunction with the accompanying drawings. However, the present disclosure is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only the present embodiments allow the present disclosure to be complete, and those of ordinary skill in the art to which the present disclosure pertains. It is only provided 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.

Terms used in this specification have been selected as currently widely used general terms as possible while considering the functions in the present disclosure, but these may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technology, and the like. In addition, in a specific case, there is a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the corresponding invention. Therefore, the terms used in the present disclosure should be defined based on the meaning of the term and the contents of the present disclosure, rather than the simple name of the term.

References in the singular herein include plural expressions unless the context clearly dictates the singular. Also, the plural expression includes the singular expression unless the context clearly dictates the plural.

In the entire specification, when a part "includes" a certain element, this means that other elements may be further included, rather than excluding other elements, unless otherwise stated.

Also, as used herein, the term “unit” refers to a software or hardware component, and “unit” performs certain roles. However, "part" is not meant to be limited to software or hardware. A “unit” may be configured to reside on an addressable storage medium and may be configured to refresh one or more processors. Thus, by way of example, “part” includes 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. The functionality provided within components and “parts” may be combined into a smaller number of components and “parts” or further divided into additional components and “parts”.

According to an embodiment of the present disclosure, “unit” may be implemented with 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, a “processor” may refer to an application specific semiconductor (ASIC), a programmable logic device (PLD), a 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 combination with a DSP core, or any other such configurations. may 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), erase-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 is capable of reading information from and/or writing information to the memory. A memory integrated in 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 of ordinary skill in the art to which the present disclosure pertains can easily implement them. And in order to clearly describe the present disclosure in the drawings, parts not related to the description will be 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 recognition unit 120 . The server 320 as described above may include a processor and a memory.

The data learning unit 110 may learn a machine learning model for performing a target task by using a data set. The data learner 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 recognition unit 120 may output label information by applying a machine learning model to input data. Also, the data recognition unit 120 may use input data, label information, and a result output by the machine learning model to update the machine learning model.

At least one of the data learning unit 110 and the data recognition 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 recognition unit 120 may be manufactured in the form of a dedicated hardware chip for artificial intelligence (AI), or a conventional 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 on various electronic devices described above.

Also, the data learning unit 110 and the data recognition unit 120 may be respectively mounted on separate electronic devices. For example, one of the data learning unit 110 and the data recognition unit 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 recognition unit 120 may provide the machine learning model information built by the data learning unit 110 to the data recognition unit 120 through wire or wireless, and recognize data. 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 recognition unit 120 may be implemented as a software module. When at least one of the data learning unit 110 and the data recognition unit 120 is implemented as a software module (or a program module including instructions), the software module is a memory or computer-readable ratio It may be stored in a non-transitory computer readable media. Also, in this case, at least one software module may be provided by an operating system (OS) or may be provided by a predetermined application. Alternatively, a part 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 preprocessing unit 112 , a training data selection unit 113 , a model learning unit 114 , and a model evaluation unit 115 . may 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 allocated to each of the plurality of data. The label information may be information describing each of a plurality of data. The label information may be information that a target task wants to derive. The 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 share price growth rate based on past share price information, the plurality of data used for machine learning will be the past share price data for each stock, and the label information will be the future share price increase rate. will be. Also, if the target task is to predict stocks that will surge in stock prices 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 or not stocks soar.

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

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

The model learning unit 114 may learn a criterion regarding which label information to output based on the data set. Also, the model learning unit 114 may perform machine learning by using the data set and label information for the data set as training data. Also, the model learning unit 114 may perform machine learning by additionally using the previously acquired 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 constructed in consideration of the field of application 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), BRDNN (Bidirectional Recurrent Deep Neural Network), Convolutional Neural Networks (CNN) can be used as machine learning models. However, the present invention is not limited thereto.

According to various embodiments, the model learning unit 114 may determine, as a machine learning model to learn, a machine learning model having a high correlation between the input learning data and the basic learning data when there are a plurality of pre-built machine learning models. there is. In this case, the basic learning data may be pre-classified for each type of data, and the machine learning model may be previously built for each type of data. For example, the basic training data may be pre-classified according to various criteria such as a place where the training data is generated, a time when the training data is generated, the size of the training data, a generator of the training data, and the type of object in the training data.

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

Also, the model learning unit 114 may learn the machine learning model through supervised learning using, for example, learning data as an input value. In addition, the model learning unit 114, for example, by self-learning the type of data required for the target task without any guidance, unsupervised learning (unsupervised learning) to find a standard for the target task Through this, a machine learning model can be obtained. Also, the model learning unit 114 may learn the machine learning model through, for example, reinforcement learning using feedback on whether a result of a 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 recognition 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. The memory may also store software and/or programs. A program may include, for example, a kernel, middleware, an application programming interface (API) and/or an application program (or "application"), and the like.

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

For example, the model evaluation unit 115, among the results of the machine learning model learned for the evaluation data, does not satisfy a predetermined criterion when the number or ratio of evaluation data for which the recognition result is not accurate exceeds a preset threshold. can be evaluated as For example, when the predetermined criterion is defined as a ratio of 2%, when the learned machine learning model outputs an erroneous recognition result for more than 20 evaluation data out of a total of 1000 evaluation data, the model evaluation unit 115 learns It can be evaluated that the 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 a predetermined criterion is satisfied with respect to each learned machine learning model, and the 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 satisfying the predetermined criteria, the model evaluation unit 115 may determine one or a predetermined number of models preset in the order of the highest evaluation score as the final machine learning model.

Meanwhile, at least one of the data acquisition unit 111 , the preprocessor 112 , the training 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 may be manufactured in the form of a hardware chip of For example, at least one of the data acquisition unit 111 , the preprocessor 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 this purpose, or it 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 on the various electronic devices described above.

In addition, the data acquisition unit 111 , the preprocessor 112 , the training data selection unit 113 , the model learning unit 114 , and the model evaluation unit 115 may be mounted in one electronic device, or separate Each of the electronic devices may be mounted. For example, some of the data acquisition unit 111 , the preprocessor 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 rest are It can be included in the server.

In addition, at least one of the data acquisition unit 111 , the preprocessor 112 , the training data selection unit 113 , the model learning unit 114 , and the model evaluation unit 115 may be implemented as a software module. A program in which at least one of the data acquisition unit 111, the preprocessor 112, the learning data selection unit 113, the model learning unit 114, and the model evaluation unit 115 includes a software module (or instructions) module), the software module may be stored in a computer-readable non-transitory computer readable medium. Also, in this case, at least one software module may be provided by an operating system (OS) or may be provided by a predetermined application. Alternatively, a part 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 obtaining unit 121 , a preprocessing unit 122 , a recognition data selecting unit 123 , a recognition result providing unit 124 , and a model updating unit 125 . may include

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

The recognition data selection unit 123 may select necessary data from the pre-processed data. The selected data may be provided to the recognition result providing unit 124 . The recognition data selection unit 123 may select some or all of the preprocessed data according to a preset criterion. Also, the recognition data selection unit 123 may select data according to a preset criterion 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 providing unit 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 update unit 125 may provide the model learning unit 114 with the recognition result provided by the recognition result providing unit 124 so that the model learning unit 114 updates the machine learning model. there is.

Meanwhile, at least one of the data acquisition unit 121 , the preprocessor 122 , the recognition data selection unit 123 , the recognition result providing unit 124 , and the model update unit 125 in the data recognition unit 120 is at least It may be manufactured in the form of a single hardware chip and mounted in an electronic device. For example, at least one of the data acquisition unit 121 , the preprocessor 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 on the various electronic devices described above.

In addition, the data acquisition unit 121 , the preprocessor 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. It may be mounted on each of the electronic devices of For example, some of the data acquiring unit 121 , the preprocessing unit 122 , the recognition data selection unit 123 , the recognition result providing unit 124 , and the model updating unit 125 are included in the electronic device, and the remaining parts are included in the electronic device. may be included in the server.

In addition, at least one of the data acquisition unit 121 , the preprocessor 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 preprocessor 122, the recognition data selection unit 123, the recognition result providing unit 124, and the model update unit 125 includes a software module (or instructions) When implemented as a program module), the software module may be stored in a computer-readable non-transitory computer readable medium. Also, in this case, at least one software module may be provided by an operating system (OS) or may be provided by a predetermined application. Alternatively, a part 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 the data acquisition unit 111 , the preprocessor 112 , and the training data selection unit 113 of the data learning unit 110 to receive and process the training data will be described in more detail.

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

The health monitoring apparatus 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 recognition unit 120 . The data learning unit 110 or the data recognition 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 apparatus 100 , the user terminal 310 , and the server 320 may include a communication unit. Accordingly, the health monitoring apparatus 100 , the user terminal 310 , and the server 320 may communicate with each other.

The user terminal 310 may include a PC, a smart phone, a PDA, a notebook computer, a tablet, or a wearable device used by the user. The user terminal 310 may relay data. For example, the health monitoring apparatus 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 ECG as text, table, or graph, so that the user can check his or her ECG value. Also, 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 ECG. Accordingly, when the user terminal 310 requests, the accumulated user's ECG can be provided at any time. Also, 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, the analysis result may include information about the 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 positioned behind the keyboard 410 to support the user's wrist. Here, the rear means the rear when the user sits in front of the keyboard.

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

In addition, many people currently use a keyboard and mouse at work or at home, and there are cases in which a wrist rest is used to protect the wrist when using the keyboard and mouse. The health monitoring apparatus 100 may have a form of a wrist rest. When the user uses the keyboard or mouse, the health monitoring apparatus 100 has the effect of frequently measuring the user's electrocardiogram because the user's wrist is always in contact. In addition, there is an effect that the user's health can be improved by quickly detecting an abnormality in the user's health because the electrocardiogram is frequently measured. Hereinafter, a configuration included in the health monitoring device 100 will be described in more detail with reference to FIG. 5 .

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

The health monitoring apparatus 100 may include a lower cover 510 . The lower cover 510 may have a plate shape extending from side to side. 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 apparatus 100 may include an electrode module 520 . The electrode module 520 may be a conductor. The electrode module 520 may acquire an electrical signal by contacting the user's wrist. The electrode module 520 may be a silicon electrode or a metal. The metal used for the electrode module 520 may be SUS (Steel Use Stainless) or nickel-chromium-plated metal. In addition, when a silicon electrode is used as the electrode module 520 , the user can feel comfortable because the user's wrist does not feel cold 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 sequentially disposed 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. The distance of 2 cm or less is provided so that both hands do not contact one electrode group. In order to accurately measure the electrocardiogram, the electrodes need to be in contact with at least two parts of the user's body. However, when both 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 provided to prevent a short circuit between the two electrode groups. The health monitoring device according to the present disclosure may measure an accurate electrocardiogram by placing a distance between electrode groups. 6 to describe the components included in the first electrode group 521 , the second electrode group 522 , and the third electrode group 523 .

6 is a view 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 1-1th electrode 610 and the 1-2th electrode 620 may be arranged side by side. The protrusion of the 1-1th electrode 610 may be disposed in a form inserted into the groove of the 1-2th electrode 620 . The protrusions of the 1-2-th electrodes 620 may be inserted into the grooves of the 1-1-th electrodes 610 . The minimum distance between the 1-1 electrode 610 and the 1-2 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 regions as possible without causing a short circuit.

The second electrode group 522 may include a 2-1 th electrode and a 2-2 th electrode. The 2-1 th electrode and the 2-2 th electrode may be arranged side by side. The protrusion of the 2-1 th electrode may be disposed in a form inserted into the groove of the 2-2 th electrode. The protrusion of the 2nd-2nd electrode may be inserted into the groove of the 2-1th electrode. The minimum distance between the 2-1 th electrode and the 2-2 th electrode may be 5 mm or more and 10 mm or less. The shape of the 2-1 th electrode may correspond to the shape of the 1-1 th 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 th electrode may correspond to the function of the 1-1 th 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 th electrode and a 3-2 th electrode. The 3-1 th electrode and the 3-2 th electrode may be arranged side by side. The protrusion of the 3-1 electrode may be disposed in a form 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 th electrode may correspond to the shape of the 1-1 th electrode 610 . Also, the shape of the 3-2 electrode may correspond to the shape of the 1-2 electrode 620 . Also, the function of the 3-1 th electrode may correspond to the function of the 1-1 th electrode 610 . Also, 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. Accordingly, there is an effect of increasing the productivity of the health monitoring device 100 .

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 may be a ground electrode. The ground electrode may mean an electrode corresponding to a reference signal. That is, the ground electrode may be a reference electrode.

Also, 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 may be a signal electrode. The signal electrode may be an electrode that acquires a signal based on the signal of the ground electrode. The controller 530 may receive a signal of the signal electrode with respect to the ground electrode as an electrical signal. Also, the controller 530 may acquire an electrocardiogram based on the electrical signal.

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

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

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 first 1-2 electrode, the 2-1 electrode, and the 3-2 electrode may be a ground electrode. According to various embodiments of the present disclosure, the first-first electrode, the second-second electrode, and the third-first electrode may be a ground electrode. In addition, the first 1-2 electrode, the 2-1 electrode, and the 3-2 electrode may be signal electrodes. As described above, 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 the short circuit, it has the effect of expanding the range of the ground electrode.

The controller 530 may obtain a signal of the signal electrode with respect to the ground electrode as an electrical signal. Also, the controller 530 may acquire 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 grounded. electrode, and the other electrode may be a signal electrode.

The control unit 530 determines whether the ground electrode among 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 determined according to a predetermined criterion. The electrode to be used can be selected. Also, the controller 530 may select at least one of the remaining electrodes as the signal electrode according to a predetermined criterion. The controller 530 may acquire 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. Users can select the most accurately measured ECG.

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 the plurality of electrocardiograms. The controller 530 may select an electrode group on which the user's wrist is raised from 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 a sensor or a signal from the 1-1 to 3-2 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 th electrode as the ground electrode and select the 1-2 th electrode, the 2-1 th electrode, and the 2-2 th electrode as the signal electrode. The controller 530 may acquire electrical signals of the 1-2 th electrode, the 2-1 th electrode, and the 2-2 th electrode. The controller 530 may select the 1-2 th electrode as the ground electrode and select the 1-1 th electrode, the 2-1 th electrode, and the 2-2 th electrode as the signal electrode. The controller 530 may acquire electrical signals of the 1-1 th electrode, the 2-1 th electrode, and the 2-2 th electrode. The controller 530 may select the 2-1 th electrode as the ground electrode and select the 1-1 th electrode, the 1-2 th electrode, and the 2-2 th electrode as the signal electrode. The controller 530 may obtain 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 1-1th electrode, the 1-2th electrode, and the 2-1th electrode. The controller 300 may calculate an average of the electrical signal when the 1-1 electrode is selected as the signal electrode and the electrical signal when the 1-2 electrode is selected as the signal electrode in real time. Also, the average value calculated in real time can be determined as an electrocardiogram for the left hand. Also, the controller 300 may calculate the average of the electrical signal when the 2-1 th electrode is selected as the signal electrode and the electrical signal when the 2-2 th electrode is selected as the signal electrode in real time. In addition, the average value calculated in real time can be determined as an electrocardiogram for the right hand.

In order 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, refer to FIG. 7 .

7 is a diagram illustrating 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 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. Since 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 have the same shape, the 1-1 electrode, the 1-th electrode The same diagrams as in FIG. 7 may be drawn with respect to the second electrode, the 2-1 th electrode, the 2-2 th electrode, the 3-1 th electrode, and the 3-2 th 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 each extend to the left and right 705 base electrodes 710 . may include

Also, 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 . The front and rear 706 may be in a direction perpendicular to the left and right 705 of FIG. 7 .

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

The protruding electrodes 721 and 722 may allow the user's one wrist to contact both electrodes. For example, when the user's wrist is positioned on the first electrode group 521 by the protruding electrodes 721 and 722 , the two electrodes included in the first electrode group 521 can contact the user's wrist. there is. When the user's wrist is positioned on 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 on 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 . Because the protruding electrodes 721 and 722 are periodically formed, by increasing the contact area between the user's wrist and the electrode, noise in the electrical signal may be reduced, and the health monitoring apparatus 100 may obtain a stable electrical signal. Therefore, the accuracy of the electrocardiogram may be increased.

In addition, the 1-1, 1-2, 2-1, 2-2, 3-1, and 3-2 electrodes may include a tail portion 730 . The tail 730 may be included in the base electrode 710 . The tail portion 730 may be configured to extend from the base electrode 710 . The tail 730 may also be configured to increase the contact area with the user's wrist. For example, the tail 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 another electrode may be positioned between two consecutive protruding electrodes 720 included in one electrode. For example, one protruding electrode included in the first 1-2 electrode may be positioned between two consecutive protruding electrodes included in the 1-1 electrode. Also, one protruding electrode included in the 1-1 electrode may be positioned between two consecutive protruding electrodes included in the first and second electrodes. In addition, one protruding electrode included in the 2-2 electrode may be positioned between two consecutive protruding electrodes included in the 2-1 th electrode. In addition, one protrusion electrode included in the 2-1 th 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 another 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 apparatus 100 may include a controller 530 . The controller 530 may acquire 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 a noise component 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 acquire 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 ECG, the user terminal 310 may obtain an ECG analysis result based on the user's ECG. The user terminal 310 may store at least one of a user's electrocardiogram and an electrocardiogram analysis result. Also, the user terminal 310 may transmit at least one of the user's electrocardiogram and an electrocardiogram analysis result to the server 320 . When the server 320 receives the user's ECG from the user terminal, the server 320 may obtain an ECG analysis result based on the user's ECG. The server 320 may store at least one of the user's electrocardiogram and electrocardiogram analysis result.

Also, the controller 530 may control the health monitoring device. The controller 530 may include a processor or a memory. The controller 530 may operate based on a command stored in the memory. Also, the control unit 530 may include a communication unit for communicating with other devices. The control unit 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 in which the controller 530 acquires the electrocardiogram has been described, but the present invention is not limited thereto. The controller 530 may transmit an electrical signal received from the received electrode module 520 to the user terminal 310 . The user terminal 310 may acquire 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 combined, 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. In addition, the upper cover 540 or the lower cover 510 may protect the control unit 530 and the electric wires. The wire may be configured to transmit/receive 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 . 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 a groove formed in the upper cover 540 and coupled thereto. 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 a method of operating a health monitoring device according to an embodiment of the present disclosure.

The controller 530 may perform an operation 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 an operation of acquiring the user's electrocardiogram based on the two selected electrode groups.

The controller 530 may perform an operation 810 of receiving an electrical signal from the first electrode group 521 to the third electrode group 523 . Also, as already described, the first electrode group 521 to the third electrode group 523 may acquire the signal of the signal electrode with respect to the ground electrode as an electrical signal. The first electrode group 521 to the third electrode group 523 may transmit the acquired 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 the ECG 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 the ECG 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 electric 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 ECG corresponds to a person's ECG, the controller 530 may determine whether a similarity obtained by comparing a previously stored ECG signal with a measured electrical signal is equal to or greater than a threshold value. When the similarity is equal to or greater than the threshold, the controller 530 may determine that the received electrical signal corresponds to a person's electrocardiogram. Also, the controller 530 may perform an actual ECG measurement process. The actual ECG measurement process may be a process for actually measuring the user's ECG.

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

The controller 530 may determine whether there are two or more electrical signals related to an electrocardiogram among electrical signals received from the first electrode group 521 to the third electrode group 523 . The control unit 530 determines whether there is less than one electrical signal 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 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 an operation 830 of selecting two electrode groups corresponding to the electrical signal related to the electrocardiogram from among the first to third electrode groups. When there are two electrical signals associated with the electrocardiogram, the controller 530 may select two electrode groups corresponding to the electrical signals. Also, the health monitoring apparatus 100 may acquire an electrocardiogram based on the electrical signals obtained from the two selected electrode groups. For example, the health monitoring apparatus 100 may determine the electrical signal obtained from the two selected electrode groups as an electrocardiogram. 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 signal of the first electrode group and the electrical signal of the second electrode group. Also, the controller 530 may determine a second degree of similarity between the electrical signal of the second electrode group and the electrical signal 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 signal of the first electrode group and the electrical signal 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. Also, the health monitoring apparatus 100 may acquire an electrocardiogram based on the electrical signal of the third electrode group and the first representative electrical signal. For example, the health monitoring apparatus 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 indicate the ECG of the right wrist, and the second representative electrical signal may indicate the ECG of the left wrist.

When the first similarity is less 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, an average 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. 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, the health monitoring apparatus 100 may acquire an electrocardiogram based on the electrical signal of the first electrode group and the second representative electrical signal. For example, the health monitoring apparatus 100 may determine the electrical signal of the first electrode group and the second representative electrical signal as an electrocardiogram. For example, the electrical signal of the first electrode group may indicate the ECG of the left wrist, and the second representative electrical signal may indicate the ECG of the right wrist.

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

According to various embodiments of the present disclosure, the controller 530 calculates a similarity between a predetermined pattern and an electrical signal received from the first electrode group 521 to the third electrode group 523, and calculates the similarity between the two Two electrode groups corresponding to electrical signals can be selected. Also, the health monitoring apparatus 100 may acquire an electrocardiogram based on the electrical signals obtained from the two selected electrode groups. For example, the health monitoring apparatus 100 may determine the electrical signal obtained from the two selected electrode groups as an electrocardiogram.

In this way, the controller 530 may automatically determine the electrode group that the user's body is in contact with. Accordingly, since the health monitoring apparatus 100 can operate without a user's separate manipulation, the user's convenience can be increased.

When the control unit 530 performs the step 820 of determining whether the electrical signal received from the first electrode group 521 to the third electrode group 523 is related to the electrocardiogram, the following process may be further performed. can

The controller 530 may store a predetermined pattern related to 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, the readings of the signals contained in the predetermined 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 to obtain the first electrode group 521 to the third electrode group 523 . It may be determined whether the received electrical signal is associated with an ECG of the left hand or an ECG 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 determine the first electrode group 521 and the second electrode group 522 . It can be determined whether the electrical signal received from the left hand is related to the electrocardiogram of the left hand. The control unit 530 compares the electric signals received from the second electrode group 522 and the third electrode group 523 with a predetermined pattern for the right hand to obtain the second electrode group 522 and the third electrode group 523 . It can be determined whether the electrical signal received from the right hand is related to the electrocardiogram of the right hand.

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

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

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

According to various embodiments of the present disclosure, the health monitoring apparatus 100 may include a switch 550 . The switch 550 may be configured to select a mode of the health monitoring apparatus 100 . The health monitoring apparatus 100 may include a first mode and a second mode. The switch 550 may be a toggle switch. When the button of the switch 550 is on one side, the mode of the health monitoring apparatus 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 apparatus 100 may be the second mode.

As already described, the first electrode group 521 may be located at the leftmost side of the health monitoring apparatus 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 apparatus 100 .

In this case, 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. The signal electrode included in the second electrode group 522 may be short-circuited with the signal electrode included in the third electrode group 523 . The ground electrode included in the second electrode group 522 may be short-circuited with the ground electrode included in the third electrode group 523 . For example, the 2-1 th electrode included in the second electrode group 522 may be short-circuited with the 3-1 th 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 first mode, the electrical signal acquired by the second electrode group 522 from the user's body and the electrical signal acquired 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 shorting 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 such, the health monitoring device according to the present disclosure has an advantage in that it can measure the user's ECG without any problem even if the user's right hand is on the keyboard or the mouse.

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

In the second mode, the arrangement of the keyboard, the mouse, and the health monitoring apparatus 100 may vary. This will be described together with 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. The signal electrode included in the first electrode group 521 may be short-circuited with the signal electrode included in the second electrode group 522 . The ground electrode included in the first electrode group 521 may be short-circuited with the 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 . Also, the first and second electrodes included in the first electrode group 521 may be short-circuited with the second second electrode included in the second electrode group 522 .

In the second mode, the electrical signal acquired by the first electrode group 521 from the user's body and the electrical signal acquired by the second electrode group 522 from the user's body 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 short-circuiting 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 an advantage in that it can measure the user's ECG without any problem even if the user's left hand is on the keyboard or the mouse.

The controller may acquire 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 be in contact with the wrist of the user's right hand to obtain an electrical signal. The health monitoring apparatus 100 may obtain an electrocardiogram from the electrical signal of the third electrode group 523 . Also, the second short group may be in contact with the wrist of the user's left hand to obtain an electrical signal. The health monitoring apparatus 100 may acquire an electrocardiogram based on the electrical signal of the second short group. The health monitoring apparatus 100 may periodically acquire an electrocardiogram from both arms of the user. Since the health monitoring apparatus 100 of the present disclosure can frequently measure an 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 disposed under the first electrode group 521 , the second electrode group 522 , and the third electrode group 523 , respectively. The health monitoring device 100 determines whether the pressure sensors respectively disposed under the first electrode group 521, the second electrode group 522, and the third electrode group 523 have a value greater than or equal to a predetermined threshold pressure. Thus, it can be determined that the user puts his or her hand or 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 the predetermined threshold pressure, and the pressure sensor located below the second electrode group 522 is measured When one pressure is higher than a predetermined threshold pressure, it may be determined that the user puts his or her wrist on the first electrode group 521 and the second electrode group 522 .

Also, the contact temperature sensor may be disposed on at least one of front, rear, left, and right 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 the value of the contact temperature sensor disposed in the vicinity of the first electrode group 521 , the second electrode group 522 , and the third electrode group 523 is within a predetermined body temperature range. Based on the , it may be determined that the user puts his or 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 the electrode. This is because, when the electrode is a metal, the thermal conductivity is high. The range of the predetermined body temperature may be approximately 36 degrees or more and 38 degrees or less. For example, in the health monitoring apparatus 100 , the temperature measured by the contact temperature sensor located in the vicinity of the first electrode group 521 is included in the range of the predetermined body temperature, and the contact temperature is located in the vicinity of the second electrode group 522 . When the temperature measured by the temperature sensor is included in the range of the predetermined body temperature, it may be determined that the user puts his or 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 obtain information about the disease by applying the user's electrocardiogram to the machine learning model. Here, the machine learning model may be a model obtained by machine learning the correlation between the user's electrocardiogram and the information on the disease. More specifically, the machine learning model can be generated by the following process.

The server 320 may collect a large amount of information 1012 about past electrocardiograms 1011 and past diseases. The data recognition unit 120 of the server 320 may generate a machine learning model 1020 by machine learning the correlation between the past electrocardiogram 1011 and the information 1012 on the past disease. The past electrocardiogram 1011 may be a data set. Also, the information 1012 on the past disease may be label information for the data set. The information 1012 about the past disease may be a ground truth value. The target task may be to predict information about a disease from the user's electrocardiogram. Information on past diseases may be values recorded by medical personnel. Information on the past disease may correspond to the past electrocardiogram 1011 . The information on the past disease may be identification information on the disease. The identification information for the disease may be a combination of text or numbers. Identification information for 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 along with 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 other devices by wire or wireless. The health monitoring apparatus 100 may store the generated machine learning model 1020 .

The health monitoring apparatus 100 may acquire an 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, a redundant description will be omitted.

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

The health monitoring apparatus 100 may output information 1040 about the disease. Alternatively, the health monitoring apparatus 100 may transmit the information 1040 on the disease to the user terminal 310 . The user terminal 310 may output information 1040 about the disease. The user may check the output information 1040 about the disease. In addition, the user terminal 310 may transmit a notification message to an external hospital/administrator/acquaintance, etc. when the disease information 1040 is the same as the predetermined fatal information. The predetermined fatal 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 help the user by transmitting a notification message to an external hospital/administrator/acquaintance or the like.

11 is 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 that of the health monitoring apparatus 100 illustrated in FIGS. 1 to 10 may be applied to the health monitoring apparatus 100 illustrated in FIGS. 11 and 12 . Hereinafter, differences from the health monitoring apparatus 100 of FIGS. 1 to 10 will be mainly described.

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

The health monitoring apparatus 100 may include a base module 1110 . The base module 1110 may include guides 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 on the guide 1111 to be coupled to the electrode modules 1030 and 1040 .

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 upper cover 1120 and the base module 1110 are combined, a space is formed between the upper cover 1120 and the base module 1110 , and the control unit 530 may be mounted in the formed space. In addition, the upper cover 1120 or the base module 1110 may protect the control unit 530 and the electric wires. The wire may be configured to transmit/receive electrical signals between the control unit 530 and the electrode modules 1130 and 1140 .

The health monitoring apparatus 100 may include electrode modules 1130 and 1140 . The electrode modules 1130 and 1140 are coupled to the base module, and may be movable left and right on the base module along the guide 1111 extending left and right. The electrode modules 1130 and 1140 may acquire an electrical signal 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 coupled to 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 wrist may contact the electrode modules 1130 and 1140 .

The coupling part 1133 may be coupled to the rotating part 1132 . The electrode modules 1130 and 1140 may include a rotating part 1132 that enables the wrist rest 1131 to rotate based on the z-axis. The z-axis may mean the upper side. The upper side may be a direction perpendicular to the ground including the forward, backward, left, and right directions. The rotating part 1132 may be a rotating bearing. The rotating unit 1132 may allow the wrist rest 1131 to be rotatable based on the z-axis, so that the user can comfortably place the 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. The electrode may be a conductor. The electrode may be a metal or a silicon electrode. The electrode may be connected to the controller 530 with an electric wire. The metal used for the electrode may be SUS (Steel Use Stainless) or nickel-chromium-plated metal. In addition, when a silicon electrode is used as the electrode, the user can feel comfortable because the user's wrist does not feel cold and does not press the user's wrist.

The health monitoring device 100 may include a pressure sensor. The pressure sensor may be located below the electrode module. The pressure sensor may be located in the base module 1110 . Alternatively, the pressure sensor may be included in the moving unit 1112 or the rotating unit 1132 . The pressure sensor may detect whether the user puts his or her wrist on the electrode module. The pressure sensor can be replaced with a switch that is pressed 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. Also, when the switch is not pressed, it may indicate that the user's arm is not on the electrode module.

The pressure sensor may be replaced by a contact temperature sensor. The contact temperature sensor may measure the temperature of the contacted object. The health monitoring apparatus 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 included in the human body temperature range, the health monitoring apparatus 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 apparatus 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 the normal range, the health monitoring apparatus 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 or equal to 36 degrees and less than or equal to 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 more than 34 degrees and less than 36 degrees, or more than 38 degrees and less than 40 degrees. The health monitoring apparatus 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 . Accordingly, the user can easily recognize that there is an abnormality in his or her health. In addition, the company that manages users can quickly find out that there is an abnormality in the user's health and take necessary measures.

The health monitoring apparatus 100 may include a controller 530 . The controller 530 may acquire the user's electrocardiogram based on the signal received from the electrode modules 1130 and 1140 and the signal 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 acquire information about the hand that grips the mouse. For example, the controller 530 may receive information about a hand gripping the mouse from the user terminal 310 . Alternatively, the controller 530 may pre-store information on the hand gripping the mouse. The information on the hand gripping the mouse may indicate whether the user grips the mouse with the left hand or the right hand.

The control unit 530 is based on at least one of information about the hand holding the mouse or a signal of the pressure sensor, at least one of a signal received from the first electrode module 1130 and a signal received from the second electrode module 1140 . can be used to obtain the user's electrocardiogram.

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 previously 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 controller 530 acquires 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 That the signal of the pressure sensor is greater than the second threshold pressure may indicate that both hands of the user are on the health monitoring device 100 .

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

The health monitoring apparatus 100 may include a third electrode module that acquires an electrical signal by contacting the 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, greater than the first threshold pressure, and the information about the hand holding the mouse indicates the right hand, the signal received from the first electrode module and the second The user's ECG can be obtained by using the signal received from the 3-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 placed on the health monitoring apparatus 100 . The user's other arm may rest on the mouse. Accordingly, the controller 530 may acquire an electrocardiogram using the third electrode module included in the mouse. Also, when the information on the hand gripping 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 apparatus 100 . Accordingly, the controller 530 may acquire an electrocardiogram using the first electrode module 1130 located to the left of the second electrode module 1140 .

When the signal of the pressure sensor is less than or equal to the second threshold pressure, greater than the first threshold pressure, and the information about the hand holding the mouse indicates the left hand, the signal received from the second electrode module and the second The user's ECG can be obtained by using the signal received from the 3-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 placed on the health monitoring apparatus 100 . The user's other arm may rest on the mouse. Accordingly, the controller 530 may acquire an electrocardiogram using the third electrode module included in the mouse. Also, when the information on the hand gripping 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 the health monitoring apparatus 100 . Accordingly, the controller 530 may acquire an electrocardiogram using the second electrode module 1140 located to the right of the first electrode module 1130 .

The 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, the present invention 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 positioned under the first electrode module 1130 and a second pressure sensor positioned under the second electrode module 1140 .

The control unit 530 uses at least one of a signal received from the first electrode module 1130 or a signal received from the second electrode module 1140 based on the signals of the first pressure sensor and the second pressure sensor. An electrocardiogram can be obtained.

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

When the signal of the first pressure sensor indicates that the user puts the wrist on the first electrode module 1130 and the signal of the second pressure sensor indicates that the user puts 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 acquire 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 puts the wrist on the first electrode module 1130 , and the signal of the second pressure sensor indicates that the user puts the wrist on the second electrode module 1140 . When it indicates that it is not released, the user's electrocardiogram may be obtained using the signal received from the first electrode module 1130 and the signal received from the third electrode module.

In addition, the control unit 530 indicates that the signal of the first pressure sensor indicates that the user does not put the wrist on the first electrode module, and that the signal of the second pressure sensor indicates that the user puts the wrist on the second electrode module. In this case, 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.

As described above, using the pressure sensor, the controller 530 may automatically select an electrode module from which an electrocardiogram is to be acquired. In addition, an electrocardiogram may be acquired based on the electrical signals received from the two selected electrode modules. Accordingly, the health monitoring apparatus 100 may periodically acquire an electrocardiogram for the user's left hand and right hand without a separate operation by the user. Accordingly, the health monitoring apparatus 100 may improve the user's health.

As described above, the health monitoring apparatus 100 may monitor a change in an electrocardiogram during a user's work for a long time, and output a notification to the user terminal 310 when a stress increase state is determined. In addition, the user terminal 310 may output a message recommending a rest recommendation or adjustment of the workload along with the notification. Therefore, the user can effectively manage his or her stress. In addition, the health monitoring apparatus 100 of the present disclosure may be used for an employee support program (EAP) of a company to actively manage employee stress. For example, a company can monitor a user's stress and recommend a break if an increase in stress is detected. As work efficiency decreases when stress increases, employee support programs can encourage people to return to work after relieving stress. Accordingly, the user's work efficiency may be increased.

In addition, due to long-time work, health problems, obesity, and various adult diseases are on the rise. The health monitoring device 100 of the present disclosure measures an electrocardiogram and analyzes it with an AI algorithm to periodically recommend exercise, and output an active alarm for disease prevention, so that the user can quickly take action according to his or her health condition 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 an electrode included in a health monitoring device according to an embodiment of the present disclosure.

According to an embodiment of the present disclosure, the health monitoring apparatus 100 may be disposed on the left and right sides of the keyboard. The health monitoring apparatus 100 may include a left health monitoring apparatus 1310 and a right health monitoring apparatus 1320 . When the user rests while using the keyboard, he or she may place a palm or finger on the health monitoring device 100 . For example, the user may place the left hand on the left health monitoring device 1310 . The user may also place their right hand over the right health monitoring device 1320 . When the user's finger or palm accesses the health monitoring apparatus 100 , the health monitoring apparatus 100 may measure the user's electrocardiogram.

According to another embodiment of the present disclosure, the health monitoring apparatus 100 may be included in a keyboard. At least one of the plurality of keys included in the keyboard may include an electrode. For example, the electrode may be disposed on the 'F' key and the 'J' key. When the user rests while using the keyboard, he or she may place a palm or finger on the electrodes of the keyboard. For example, the user may place the left index finger on top of the 'F' key on the keyboard. Also, the user can place the right index finger on top of the 'J' key on the keyboard. When the user's finger or palm connects to the electrode, the health monitoring apparatus 100 included in the keyboard may measure the user's electrocardiogram.

At least one electrode may be included in each of the left health monitoring device 1310, the right health monitoring device 1320, the 'F' key, or the 'J' key described above. The shape of the electrode may be as shown in FIG. 14 .

Referring to the top 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, the present invention 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 top view 1420 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 1421 and a ground electrode 1422 , respectively. However, the present invention 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 the plan view 1430 of the 'F' key, the 'F' key may include a signal electrode 1431 and a ground electrode 1432 . However, the present invention is not limited thereto, and the 'F' key may include a signal electrode 1432 and a ground electrode 1431 . Since either the signal electrode or the ground electrode has the shape of an 'F', a separate engraving on the key may not be necessary. In addition, since the electrode is made of metal or a silicon electrode, the aesthetic effect may be excellent. In addition, since the electrode is formed on the key, the health monitoring device 100 according to the present disclosure does not need to include a device including a separate electrode, so it is possible to implement 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, the present invention 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 the shape of a 'J', a separate engraving on the key may not be necessary. In addition, since the electrode is made of metal or a silicon electrode, the aesthetic effect may be excellent. In addition, since the electrode is formed on the key, the health monitoring device 100 according to the present disclosure does not need to include a device including a separate electrode, so it is possible to implement a minimalistic interior. The signal electrode and the ground electrode may have different colors. However, the present invention is not limited thereto.

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

So far, various embodiments have been mainly looked at. Those of ordinary skill in the art to which the present invention pertains will 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 are to be considered in an illustrative rather than a restrictive sense. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present invention.

Meanwhile, 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 a storage medium such as a magnetic storage medium (eg, a ROM, a floppy disk, a hard disk, etc.) and an optically readable medium (eg, a CD-ROM, a DVD, etc.).

Claims (12)

As a health monitoring device located near the keyboard, measuring the ECG of a user using the keyboard or mouse, and supporting the wrist of the user using the keyboard or mouse,
a plate shape extending from side to side, the lower cover for fixing at least one of the components included in the health monitoring device;
an electrode module contacting the user's wrist to obtain an electrical signal;
a controller for acquiring an electrocardiogram of a user based on the electrical signal and controlling the health monitoring device; and
It is coupled to the upper side of the lower cover to form a space therein, the control unit is mounted in the formed space, and includes an upper cover for protecting the control unit and wires,
The electrode module is inserted into the groove of the upper cover,
The electrode module includes a first electrode group, a second electrode group, and a third electrode group,
The first electrode group, the second electrode group, and the third electrode group are sequentially arranged from left to right of the upper cover,
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,
The third electrode group includes a 3-1 electrode and a 3-2 electrode,
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 a ground electrode,
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 a 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 are base electrodes extending to the left and right, respectively. and a plurality of protruding electrodes periodically arranged along the base electrode,
One protruding electrode included in the first 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;
One protruding electrode included in the 3-2 electrode is positioned between two consecutive protruding electrodes included in the 3-1 electrode,
Each of the protruding electrodes includes an extension 722 and a distal end 721 , and the extension 722 is configured to extend the electrode from the base electrode to the distal end 721 . The shape is circular,
The control unit is
determining a first similarity between the electrical signal of the first electrode group and the electrical signal of the second electrode group;
determining a second degree of similarity between the electrical signal of the second electrode group and the electrical signal of the third electrode group;
When the first similarity is greater than the second similarity, a first representative electric signal is generated based on the first electrode group and the second electrode group, and the electric signal of the third electrode group and the first representative electric signal are generated. acquiring the user's electrocardiogram based on the signal,
When the first similarity is less than the second similarity, a second representative electric signal is generated based on the second electrode group and the third electrode group, and the electric signal of the first electrode group and the second representative electric signal are generated. acquiring the user's electrocardiogram based on the signal,
When the first similarity is the same as the second similarity, the health monitoring device receives an electrical signal again from the first electrode group to the third electrode group.
delete delete The method of claim 1,
The control unit is
selecting two electrode groups from among the first electrode group to the third electrode group based on electrical signals from the first electrode group to the third electrode group;
A health monitoring device for acquiring the user's electrocardiogram based on the selected two electrode groups.
5. The method of claim 4,
The control unit is
receiving an electrical signal from the first electrode group to the third electrode group;
determining whether an electrical signal received from the first electrode group to the third electrode group is associated with an electrocardiogram;
A health monitoring device for selecting two electrode groups corresponding to an electrical signal related to an electrocardiogram from among the first electrode group to the third electrode group.
The method of claim 1,
The health monitoring device further comprises a switch for selecting the first mode or the second mode,
when the switch is in the first mode, the second electrode group and the third electrode group are short-circuited to form a first short-circuit group;
The control unit acquires the user's electrocardiogram based on the electrical signals of the first electrode group and the first short-circuit group,
when the switch is in the second mode, the first electrode group and the second electrode group are short-circuited to form a second short-circuit group;
The control unit is a health monitoring device to obtain the electrocardiogram of the user based on the electrical signals of the third electrode group and the second short group.
The method of claim 1,
The control unit is
The user's electrocardiogram is applied to the machine learning model to obtain information about the disease,
The machine learning model is a health monitoring device that is a model obtained by machine learning the correlation between the user's electrocardiogram and information on disease.
As a health monitoring device for measuring an electrocardiogram of a user using a keyboard or mouse and supporting a wrist of a user using a keyboard, located near the keyboard,
a base module including a guide extending from side to side so that the electrode module can move from side to side;
an electrode module coupled to the base module, movable left and right on the base module along the guide extending left and right, and contacting the user's wrist to obtain an electrical signal;
a pressure sensor positioned under the electrode module and configured to detect whether the user puts a wrist on the electrode module; and
and a controller configured to acquire the user's electrocardiogram based on the signal received from the electrode module and the signal received from the pressure sensor.
9. The method of claim 8,
The electrode module 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,
The control unit is
Acquire information about the hand gripping the mouse,
Based on at least one of information about a hand holding the mouse or a signal of the pressure sensor, the user's electrocardiogram is measured using at least one of a signal received from the first electrode module or a signal received from the second electrode module. Acquiring health monitoring devices.
10. The method of claim 9,
The control unit is
comparing the signal of the pressure sensor with a first threshold pressure and a second threshold pressure;
When the signal of the pressure sensor is greater than the second threshold pressure, the user's electrocardiogram is obtained using the signal received from the first electrode module and the signal received from the second electrode module,
wherein the second threshold pressure is greater than the first threshold pressure.
11. The method of claim 10,
The health monitoring device includes a third electrode module that acquires an electrical signal by contacting a user's hand using a mouse,
The control unit is
When the signal of the pressure sensor is less than or equal to the second threshold pressure, greater than the first threshold pressure, and the information on the hand holding the mouse indicates the right hand, the signal received from the first electrode module and the A health monitoring device for acquiring the user's electrocardiogram using a signal received from a third electrode module.
12. The method of claim 11,
The control unit is
When the signal of the pressure sensor is less than or equal to the second threshold pressure, greater than the first threshold pressure, and the information on the hand holding the mouse indicates the left hand, the signal received from the second electrode module and the A health monitoring device for acquiring the user's electrocardiogram using a signal received from a third electrode module.

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