WO2021015570A1 - Electrocardiogram measurement system for determining presence or absence of heart disease by using single-lead electrocardiogram data, and method therefor - Google Patents

Abstract

The present invention relates to an electrocardiogram measurement method in an electrocardiogram measurement system. The method may comprise the steps of: receiving, by an electrocardiogram measurement device, electrocardiogram standard data including electrocardiogram data generated by matching single-lead data and 12-lead data and heart disease data corresponding to the 12-lead data from a management server; generating, by the electrocardiogram measurement device, single-lead electrocardiogram measurement data; generating, by the electrocardiogram measurement device, electrocardiogram result data from the electrocardiogram measurement data by learning the electrocardiogram standard data; and transmitting, by the electrocardiogram measurement device, the electrocardiogram result data to the management server. The step of generating the electrocardiogram result data may comprise the steps of: analyzing, by the electrocardiogram measurement device, the single-lead electrocardiogram measurement data on the basis of the electrocardiogram data to generate single-lead electrocardiogram data; generating, by the electrocardiogram measurement device, readout result data, which is related to determination of the presence or absence of heart disease, corresponding to heart disease data by using the single-lead electrocardiogram data; and outputting, by the electrocardiogram measurement device, the electrocardiogram result data including the single-lead electrocardiogram data and the readout result data to a user.

Description

Electrocardiogram measurement system and method for determining the presence or absence of heart disease using single-lead electrocardiogram data

The present invention is an electrocardiogram measuring system and method for determining the presence or absence of a heart disease using single-lead electrocardiogram data that can determine the presence or absence of a heart disease of the user from the single-lead electrocardiogram measurement data acquired from the user by learning ECG standard data It is about.

Typically, an electrocardiogram (ECG) system monitors the electrical activity of a patient's heart. The electrocardiogram system is a useful device that can conveniently diagnose a patient's heart condition. Electrocardiograms can be classified into several types according to the purpose of use. A 12-channel electrocardiogram using 10 wet electrodes is used as a standard as an electrocardiogram for hospitals to obtain as much information as possible. The measured electrocardiogram can be largely composed of three types: a P wave caused by atrial depolarization, a QRS complex generated by a ventricular depolarization, and a T wave caused by repolarization of the ventricle. ECG analysis is a well-established method for the study of heart function in patients and for the identification of disorders of the heart. Doctors have used the ECG system to monitor the heart activity of Chinese characters for decades. Currently, there are several other systems that monitor the electrical activity of the patient's heart and analyze the ECG signal to identify the type of heart disease the patient is experiencing. However, these systems are generally fixed and not suitable for portable use.

The problem to be solved by the present invention is to learn the ECG standard data generated by matching 12-lead data and single-lead data, and to determine the presence or absence of a heart disease by extracting features of 12-lead data from the single-lead ECG measurement data acquired from the user. It is to provide an electrocardiogram measuring system and method for determining the presence or absence of a heart disease using single-lead electrocardiogram data.

The problem to be solved by the present invention is to provide an electrocardiogram measuring system and method for determining the presence or absence of a heart disease using portable single-lead electrocardiogram data in consideration of user diversity, convenience, and reliability.

The problem to be solved by the present invention is to generate and learn standard electrocardiogram data using deep learning, thereby extracting features of 12-lead data from the single-lead electrocardiogram measurement data to generate single-lead electrocardiogram data that can determine the presence or absence of a heart disease. It is to provide an electrocardiogram measuring system and method for determining the presence or absence of a heart disease.

The problem to be solved by the present invention is to provide an electrocardiogram measuring system and method for determining the presence or absence of a heart disease using single-lead electrocardiogram data using a separate smart device capable of communicating with an electrocardiogram measuring device.

The problems to be solved by the present invention are not limited to the problems mentioned above, and other problems that are not mentioned will be clearly understood by those skilled in the art from the following description.

An electrocardiogram measurement method for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to an embodiment of the present invention for solving the above-described problem, is an electrocardiogram measurement in an electrocardiogram measurement system including an electrocardiogram measurement device and a management server. As a method, the electrocardiogram measuring apparatus receiving, from the management server, electrocardiogram data generated by matching single-lead data and 12-lead data and ECG standard data including heart disease data corresponding to the 12-lead data; The electrocardiogram measuring apparatus generating single-lead electrocardiogram measurement data; The electrocardiogram measuring apparatus learning the electrocardiogram standard data and generating electrocardiogram result data from the electrocardiogram measurement data; And transmitting the electrocardiogram result data to the management server by the electrocardiogram measuring device, wherein the generating of the electrocardiogram result data includes, by the electrocardiogram measuring device, the single lead electrocardiogram measurement data based on the electrocardiogram data Generating single-lead electrocardiogram data by analyzing the data; Generating, by the electrocardiogram measuring device, read result data of determining whether or not there is a heart disease corresponding to the heart disease data by using the single lead electrocardiogram data; And outputting, by the ECG measuring device, the ECG result data including the single lead ECG data and the read result data to the user.

In an embodiment of the present invention, the generating of the single-lead ECG data may generate the single-lead ECG data by extracting features of the 12-lead data from the single-lead measurement data.

In one embodiment of the present invention, the management server generating the ECG standard data; may include.

In one embodiment of the present invention, the management server receiving the 12-lead data and the heart disease data corresponding to the 12-lead data; Receiving, by the management server, the single-lead data corresponding to the 12-lead data; Generating the electrocardiogram data by matching the 12-lead data and the single-lead data by the management server; Extracting, by the management server, the heart disease data corresponding to the 12-lead data from the heart disease data; And generating, by the management server, the ECG data and the ECG standard data including the heart disease data corresponding to the ECG data.

In one embodiment of the present invention, the generating of the electrocardiogram data includes: analyzing, by the management server, an electrode waveform of the 12-lead data; Analyzing, by the management server, an electrode waveform of the single lead data; Matching, by the management server, an electrode waveform of the 12-lead data and an electrode waveform of the single-lead data; And generating, by the management server, the electrocardiogram data by extracting a common electrode waveform of the read data and the single lead data.

In one embodiment of the present invention, the management server, when receiving the single-lead ECG measurement data from the ECG measurement device, learns the ECG standard data and generates ECG result data from the ECG measurement data to measure the ECG Can be transferred to the device.

In an embodiment of the present invention, the heart disease data may include heart disease data that can be identified through an electrode waveform of the 12-lead data.

In an embodiment of the present invention, the management server may further include the step of receiving the ECG result data from the ECG measuring device and updating the ECG standard data.

In an embodiment of the present invention, in the generating of the ECG result data, the ECG result data may be generated from the single lead measurement data by learning the ECG standard data based on the user's heart information.

In addition, the electrocardiogram measuring system for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention for solving the above-described problem, is directly contacted with the user's body to receive a single-lead electrocardiogram from the user. A driving unit for obtaining measurement data; And ECG data generated by matching single-lead data and 12-lead data, and ECG standard data including heart disease data corresponding to the 12-lead data, and analyzing the single-lead ECG measurement data to analyze the user's heart disease. Including an electrocardiogram measuring device including; a main body for determining the ECG result data and outputting the ECG result data, wherein the main body learns the ECG standard data and extracts the 12-lead data from the single-lead ECG measurement data Data may be generated, and the presence or absence of a heart disease may be determined using heart disease data corresponding to the single lead electrocardiogram data, and read result data including the determination result may be generated.

In one embodiment of the present invention, when the ECG standard data is generated and the single-lead ECG measurement data is received from the ECG measuring device, the ECG result is obtained by learning the ECG standard data and using the ECG measurement data. It may include; a management server for generating data.

In one embodiment of the present invention, when receiving the single-lead ECG measurement data from the ECG measuring device and receiving the ECG standard data from the management server, the ECG standard data is learned and the ECG measurement data is used. It may further include a; user terminal for generating the ECG result data.

The program according to an embodiment of the present invention is a computer-readable recording medium that can be read from a computer to perform an electrocardiogram measurement method for determining the presence or absence of a heart disease by using the single-lead electrocardiogram data. Is stored in.

Other specific details of the present invention are included in the detailed description and drawings.

According to the present invention, by extracting ECG result data obtained from 12 ECG leads using one ECG lead, it is possible to accurately determine the presence or absence of a heart disease, thereby giving a user a sense of trust.

According to the present invention, by learning ECG standard data generated by matching 12-lead data and single-lead data to generate ECG result data, it is possible to more accurately determine the presence or absence of a heart disease, thereby giving users a sense of trust.

According to the present invention, since the ECG measuring device is portable, it is possible to accurately determine the presence or absence of a heart disease by acquiring single-lead ECG data while increasing user convenience regardless of time and location, thereby respecting the diversity of users. While improving convenience and reliability.

According to the present invention, by providing a built-in power supply capable of charging the ECG measuring device, unnecessary battery waste can be prevented and at the same time, it can be charged with a general portable terminal charger, so that it is possible to charge easily and without purchasing a separate charger. Can be economical.

According to the present invention, by learning ECG standard data based on the user's information and generating ECG result data, it is possible to more quickly determine the user's disease state.

According to the present invention, based on the user's information, it is possible to more accurately determine the presence or absence of a heart disease by learning the ECG standard data and generating the ECG result data by grasping the heart disease data that may cause the user. It can give you a sense of trust.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a conceptual diagram illustrating an electrocardiogram measurement system for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating a detailed configuration of an electrocardiogram measuring system for determining the presence or absence of a heart disease using single-lead electrocardiogram data shown in FIG. 1.

3 is a view for explaining a method of measuring an electrocardiogram for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to an embodiment of the present invention.

4, 5A, and 5B are diagrams for explaining a step of generating the ECG standard data shown in FIG. 3.

6 is a view for explaining a method of measuring an electrocardiogram for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.

7 is a view for explaining an electrocardiogram measuring system for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.

8 is a view for explaining a method of measuring an electrocardiogram for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in a variety of different forms, only the present embodiments are intended to complete the disclosure of the present invention, It is provided to fully inform the technician of the scope of the present invention, and the present invention is only defined by the scope of the claims.

The terms used in the present specification are for describing exemplary embodiments and are not intended to limit the present invention. In this specification, the singular form also includes the plural form unless specifically stated in the phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other components other than the mentioned components. Throughout the specification, the same reference numerals refer to the same elements, and “and/or” includes each and all combinations of one or more of the mentioned elements. Although "first", "second", and the like are used to describe various elements, it goes without saying that these elements are not limited by these terms. These terms are only used to distinguish one component from another component. Therefore, it goes without saying that the first component mentioned below may be the second component within the technical idea of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in the present specification may be used as meanings that can be commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not interpreted ideally or excessively unless explicitly defined specifically.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

FIG. 1 is a conceptual diagram illustrating an electrocardiogram measurement system for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to an embodiment of the present invention, and FIG. 2 is a conceptual diagram illustrating the single-lead electrocardiogram data shown in FIG. A diagram for explaining a detailed configuration of an electrocardiogram measuring system for determining the presence or absence of a heart disease.

1 and 2, an electrocardiogram measuring system 1 for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to an embodiment of the present invention includes an electrocardiogram measuring device 10 and a management server 20 It may include.

Here, the electrocardiogram measuring apparatus 10 and the management server 20 may be synchronized in real time using a wireless communication network to transmit and receive data. The wireless communication network can support various telecommunication methods, for example, Wireless LAN (WLAN), DLNA (Digital Living Network Alliance), Wireless Broadband: Wibro, and Wimax (World Interoperability for Microwave Access: Wimax). ), GSM (Global System for Mobile communication), CDMA (Code Division Multi Access), CDMA2000 (Code Division Multi Access 2000), EV-DO (Enhanced Voice-Data Optimized or Enhanced Voice-Data Only), WCDMA (Wideband CDMA) , High Speed Downlink Packet Access (HSDPA), High Speed Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTEA), Broadband Wireless Mobile Communication Service (Wireless Mobile) Broadband Service: Various communication methods such as WMBS), BLE (Bluetooth Low Energy), Zigbee, RF (Radio Frequency), LoRa (Long Range) can be applied, but are not limited thereto, and widely known various wireless or mobile communications The method may be applied.

The electrocardiogram measuring device 10 is a portable electrocardiogram measuring device 10, and can be operated using an application program (application program or application) in the present disclosure, and such an application program is an external server or It can be downloaded from the management server 20. Such an electrocardiogram measuring device 10 is a patch type, and may be formed of an electronic device that is attached to a user's chest or wrist using a single electrocardiogram lead to obtain a user's electrode waveform. The electronic device is not limited thereto, and the electronic device is a wearable device capable of acquiring an electrode waveform from a body, for example, a body-worn type (eg, a head-worn device, a bracelet, an anklet, a necklace, a ring, a watch, etc.), It may be at least one of an integrated clothing type, a body attachment type, and a living body implant type.

As illustrated in FIG. 2, the electrocardiogram measuring apparatus 10 may include a main body 12 and a driving unit 12.

The main body 12 may include a communication module 120, a display module 122, a storage module 124, a power module 126, and a control module 128.

The communication module 120 may receive ECG standard data from the management server 20 and transmit the ECG result data to the management server 20. In addition, the communication module 120 may receive ECG result data from the management server 20 when transmitting the single lead measurement data to the management server 20.

Here, the single lead measurement data may be data obtained through the driving unit 12. The ECG result data may include data of a result of determining whether a user has a heart disease, and single-lead ECG data extracted from single-lead measurement data using the ECG data. The ECG standard data may include ECG data generated by matching single-lead data and 12-lead data, and heart disease data corresponding to 12-lead data or ECG data. Here, the ECG standard data may be updated in real time in response to the ECG result data.

In this case, the heart disease data may include cardiac disease data based on a large classification criterion for arrhythmia, cardiac hypertrophy, congenital heart anomaly, heart valve disease, myocardial disease, coronary artery disease, inflammatory disease of the heart, and electrolyte imbalance.

The display module 122 is a means for visually and aurally displaying the current operating state of the electrocardiogram measuring device 10, and is capable of displaying symbols, letters, numbers, etc. on the screen according to the operating state, by color change or blinking. It may include a lamp that outputs or a speaker that outputs audio.

For example, in the case of outputting ECG result data after ECG measurement is completed, the display module 122 displays the read result data as O/X, flashes the screen in red or green, or is'normal' or'hospital. You can display information such as'I recommend you to visit'. At the same time, the display module 122 may guide the guide phrase by sound so that the user can accurately check the presence or absence of a heart disease.

The storage module 124 may store data transmitted and received through the communication module 120 and data supporting various functions of the electrocardiogram measuring apparatus 10.

The storage module 124 may store a plurality of application programs or applications driven by the electrocardiogram measuring apparatus 10, data for the operation of the electrocardiogram measuring apparatus 10, and commands. At least some of these application programs may be downloaded from an external server through wireless communication.

The power module 126 may receive external power and internal power under the control of the control module 128 to supply power to each of the components included in the electrocardiogram measuring apparatus 10. The power module 126 includes a battery (not shown), and the remaining amount of the battery can be visually checked. The battery may be charged by connecting a 220V commercial power source or USB to a laptop or computer. In addition, the battery part is a cell phone battery, and it can be charged with a cell phone battery charger using a 3.7V lithium-ion battery, which is the most economical and efficient secondary battery. Alternatively, the battery may be a built-in battery or a replaceable battery.

When the control module 128 operates the driving unit 12 by a user's manual operation and receives single-lead measurement data from the driving unit 12, the control module 128 learns the ECG standard data received from the management server 20 to obtain the ECG result data. Can be generated and printed. Specifically, the control module 128 analyzes the single-lead measurement data using the ECG data included in the ECG standard data, extracts 12-lead data from the single-lead measurement data, and generates single-lead ECG data corresponding thereto. Reading result data on which the presence or absence of a heart disease may be determined may be generated using lead ECG data, that is, heart disease data corresponding to 12-lead data. Accordingly, the control unit 128 accurately determines the presence or absence of a heart disease of the user regardless of the time or location by obtaining the reading result of the heart disease data that can be checked in the 12-lead data using only the user's single-lead measurement data. can do. In other words, it is possible to accurately determine the presence or absence of a heart disease by acquiring single-lead ECG data while increasing user convenience regardless of time and place by using the portable ECG measuring device 10, thereby respecting the diversity of users. While improving convenience and reliability.

In this case, the control module 128 may visually and/or audibly display the ECG result data to the user through the display module 122.

In contrast, when the control module 128 operates the driving unit 12 by a user's manual operation and receives single-lead measurement data from the driving unit 12, it transmits the single-lead measurement data to the management server 20, The ECG result data for single lead measurement data may be received from the management server 20.

On the other hand, when the control module 128 receives a plurality of single-lead measurement data from a user who measures an electrocardiogram using the electrocardiogram measuring device 10 from time to time, the control module 128 identifies a part with a change from the previous single-lead measurement data. Thus, the ECG result data reflecting the changed part may be output.

For example, when the second single-lead measurement data received from the user has a change from the first single-lead measurement data measured before the second single-lead measurement data, the control module 128 identifies the changed part and It is possible to output the ECG result data including the guidance of'Acute Heart Disease' or'No Heart Disease'.

In addition, when receiving the single-lead measurement data from the user, the control module 128 compares the user's heart information and the single-lead measurement data based on the user's heart information to determine that the electrode waveform of some of the leads of the ECG has changed. It is possible to detect and output ECG result data reflecting the changed part to the user.

For example, when the user has chronic heart disease, the control module 128 detects the change of the user's single-lead measurement data every measurement, learns ECG standard data from the single-lead measurement data, and generates ECG result data. Can be printed. In this case, the user's cardiac information may be received from the management server 20, input from the user through an input device (not shown) of the electrocardiogram measuring device 10, or may be input from another server such as a hospital institution. The driving unit 12 is a stimulation means that directly contacts the user's body, and may be a patch type composed of one lead wire in the present embodiment, but is not limited thereto.

The driving unit 12 may contact the user's skin under the control of the control module 128 to provide electrical stimulation to obtain single lead measurement data for the electrical stimulation from the user. The attachment position of the driving unit 12 is described as a chest or a wrist in the present embodiment, but the present invention is not limited thereto, and may be any part of the body as long as it is a position where data reacted by electrical stimulation can be obtained.

Alternatively, the driving unit 12 may include a proximity sensor (not shown) included on the inner surface of the driving unit 12 in contact with the user's skin to detect a change in the distance between the user's skin and the driving unit 12 . For example, when the driving unit 12 is driven, the proximity sensor detects between the user's skin and the driving unit 12 to check whether the patch of the driving unit 12 is well attached to the user’s skin, and is generated in the driving unit 12 By energizing the generated electricity, it is possible to accurately obtain an electrical signal of the heart for the user's heartbeat.

In addition, the driving unit 12 may include a temperature sensor (not shown) that is included on the inner surface of the driving unit 12 in contact with the user's skin and senses a temperature change between the user's skin and the driving unit 12. For example, by detecting an increase in temperature between the patch of the driving unit 12 and the skin, it is possible to prevent the user's skin from being damaged due to an excessive temperature increase, through which the user can safely use the ECG measuring device 10. I can.

The management server 20 may include a communication unit 22, a database unit 24, a monitoring unit 26, and a management control unit 28.

The communication unit 22 may transmit standard ECG data to the ECG measuring device 10 and receive ECG result data from the ECG measuring device 10. In addition, when receiving single-lead measurement data from the electrocardiogram measuring apparatus 10, the communication unit 22 may transmit the ECG result data to the electrocardiogram measuring apparatus 10.

The database unit 24 may store data transmitted and received with the electrocardiogram measuring apparatus 10 through a wireless communication network. In this case, the ECG standard data may be updated and stored in real time in response to the ECG result data.

The database unit 24 may store data supporting various functions of the management server 20. The database unit 24 may store a plurality of application programs (application programs or applications) driven by the management server 20, data for the operation of the management server 20, and commands. At least some of these application programs may be downloaded from an external server through wireless communication.

Meanwhile, single-lead data, 12-lead data, ECG disease data, and ECG standard data stored in the database unit 24 may be implemented in the form of corresponding mapping tables, but are not limited thereto.

The monitoring unit 26 screens the operation status of the electrocardiogram measuring device 10, the operation state of the management server 20, and data transmitted/received between the electrocardiogram measuring device 10 and the management server 20 by user manipulation. It can be monitored through. That is, by checking the state of use of the electrocardiogram measuring apparatus 10 in real time, it is possible to provide more confidence to the user by making it convenient for the user to use.

The management and control unit 28 may generate standard ECG data by matching single-lead data and 12-lead data using deep learning. Although it has been described that deep learning is used in the present embodiment, it is not limited thereto, and machine learning techniques such as a random forest and a support vector machine may be used.

The ECG standard data may include ECG data and heart disease data. Here, the ECG data is data learned to match single-lead data and 12-lead data using deep learning, and the heart disease data may be heart disease data corresponding to the ECG data. A method of generating ECG standard data will be described later in more detail with reference to FIGS. 4, 5A, and 5B.

On the other hand, when receiving single-lead measurement data from the electrocardiogram measuring device 10, the management and control unit 28 recognizes heart disease data that may occur from the single-lead measurement data and learns to match 12-lead data corresponding thereto. ECG standard data can be generated.

Accordingly, when receiving single-lead measurement data from the electrocardiogram measuring device 10, the management and control unit 28 uses the learned ECG standard data to change the electrode waveforms of some of the leads of the ECG from the user's single-lead measurement data. By detecting the change, the ECG result data can be generated. In other words, 12-lead data is extracted from single-lead measurement data to generate single-lead ECG data, and the presence or absence of a heart disease is determined by using single-lead ECG data, that is, heart disease data corresponding to 12-lead data. The determined reading result data can be generated.

For example, when a plurality of single-lead measurement data is received from the electrocardiogram measuring device 10, the second single-lead measurement data has a change with the first single-lead measurement data previously received than the second single-lead measurement data , The management and control unit 28 may recognize the changed part and output ECG result data including the guidance of'acute heart disease' or'no heart disease'.

In addition, when receiving single-lead measurement data from the electrocardiogram measuring device 10, the management and control unit 28 compares the user's heart information with the single-lead measurement data, and detects that the electrode waveform of some of the leads of the electrocardiogram has changed. The ECG result data reflecting the changed part can be output.

For example, if the user has chronic heart disease, the management and control unit 28 detects the change of the user's single-lead measurement data every measurement, learns ECG standard data from the single-lead measurement data, and generates ECG result data. Can be printed. In this case, the user's heart information may be input from the user or may be input from the ECG measuring apparatus 10 or an external server such as a hospital institution.

The management server 20 may be implemented by a hardware circuit (eg, a CMOS-based logic circuit), firmware, software, or a combination thereof. For example, it may be implemented using transistors, logic gates, and electronic circuits in the form of various electrical structures.

An operation of an electrocardiogram measuring method for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to an embodiment of the present invention having such a structure is as follows. 3 is a diagram for explaining an electrocardiogram measurement method for determining the presence or absence of a heart disease using single-lead electrocardiogram data, which is an embodiment of the present invention, and FIGS. 4, 5A, and 5B are standard electrocardiogram data shown in FIG. As a view for explaining the step S100 of generating, FIG. 5A is a diagram showing 12-lead data, and FIG. 5B is a diagram showing single-lead data.

First, as shown in FIG. 3, the management server 20 may generate ECG standard data (S100).

Specifically, referring to FIG. 4, the management server 20 may receive 12-lead data and heart disease data corresponding to 12-lead data (S101).

In general, the electrocardiogram is a signal that records the electrical activity of the heart, and can be obtained by measuring an electrical signal generated from the heart muscle through an electrode attached to the body surface.

In this embodiment, 12-lead data may be received in order to increase measurement accuracy. However, the present invention is not limited thereto, and an electrocardiogram may be obtained through multiple leads of 12 or more. Here, the 12-lead data may be attached to the user's body by attaching multiple electrodes to the upper left and right, lower left and right of the chest, and in some cases, to both hands and feet to obtain an electrocardiogram.

For example, cardiac disease data for electrode waveforms of the first to 12 leads may be received together. The heart disease data may be data that can be largely classified through electrode waveforms of the first to 12 leads. In the present embodiment, cardiac disease data based on a large classification standard of arrhythmia, cardiac hypertrophy, congenital heart anomaly, heart valve disease, myocardial disease, coronary artery disease, inflammatory disease of the heart, and electrolyte imbalance may be included, but are not limited thereto.

In other words, the management server 20 may receive 12-lead data and heart disease data that can be classified through the electrode waveform of the 12-lead data. That is, cardiac disease data that can be checked through 12-lead data may be received.

For example, referring to FIG. 5A, a first lead (I-aVR), a second lead (aVR-V1), a third lead (V1-V4), a fourth lead (V4-II), and a fifth lead ( Ⅱ-aVL), lead 6 (aVL-V2), lead 7 (V2-V5), lead 8 (V5-III), lead 9 (III-aVF), lead 10 (aVF-V3), The first lead heart disease data and the second lead (aVR-V1) that can be checked in the first lead (I-aVR) while receiving the electrode waveforms of the 11th lead (V3-V6) and 12th lead (V6-end) ) Of the second lead heart disease data, the third lead heart disease data that can be found in the third lead (V1-V4), the fourth lead heart disease data that can be found in the fourth lead (V4-II), Lead 5 heart disease data found in lead 5 (II-aVL), lead 6 heart disease data identified in lead 6 (aVL-V2), and lead 7 (V2-V5) 7th lead heart disease data, 8th lead heart disease data that can be found in the 8th lead (V5-III), 9th lead heart disease data that can be confirmed in the 9th lead (III-aVF), 10th lead (aVF) -Lead 10 heart disease data identified in V3), lead 11 heart disease data identified in lead 11 (V3-V6), and lead 12 heart disease identified in lead 12 (V6-end) Each of the data can be received.

Next, the management server 20 may receive single-lead data matching 12-lead data (S102). In this case, the single lead data may have an electrode waveform as shown in FIG. 5B.

Next, the management server 20 may generate ECG data by matching 12-lead data and single-read data (S103) with each other (S104). That is, the management server 20 may learn to match 12-lead data and single-read data by using deep learning to generate ECG data corresponding thereto.

For example, after analyzing the electrode waveform of 12-lead data and the electrode waveform of single-lead data to extract the characteristics of the electrode waveform, learn to match the electrode waveforms with each other, and learn ECG data having the characteristics of the common electrode waveform through learning. Can be generated. Here, as a method of extracting the features of the electrode waveform, characteristic points such as the P, Q, R, S, T peaks and P waves, QRS complex, and T-wave start points and end points are detected from the ECG signal A reference point-based feature extraction method using time information, amplitude, area, angle, etc. as (characteristic value) can be mainly used. Alternatively, a hybrid method using a wavelet correlation coefficient or an autocorrelatioin coefficient without using a feature point, or using a reference point-based features together may be used.

Next, the management server 20 may extract cardiac disease data corresponding to the electrocardiogram data (S105) and generate ECG standard data including the electrocardiogram data and the cardiac disease data (S106). That is, by matching single-lead data and 12-lead data to generate electrocardiogram data, it is possible to obtain a result of reading cardiac disease data that can be confirmed from 12-lead data using only single-lead measurement data. In other words, the ECG data including the characteristics of the 12-lead data and the characteristics of the single-lead data, and the heart disease data identified during the 12-lead data are matched to the ECG data, so that the single-lead data can only be checked through the 12-lead data. Heart disease can be more accurately identified.

On the other hand, the management server 20, when receiving single-lead measurement data from the electrocardiogram measuring device 10, recognizes heart disease data that may occur from the single-lead measurement data, and learns to match 12-lead data corresponding thereto. ECG standard data corresponding to single-lead measurement data can be generated.

Next, the electrocardiogram measuring apparatus 10 may receive standard electrocardiogram data generated from the management server 20 (S110).

Next, the electrocardiogram measuring apparatus 10 may acquire an electrocardiogram from a user who wants to measure an electrocardiogram and generate single-lead measurement data (S120).

In this case, in this embodiment, step S110 of receiving ECG standard data may be performed after step S120 of generating single-lead measurement data.

Next, the electrocardiogram measuring apparatus 10 may learn standard electrocardiogram data and analyze the single-lead measurement data to generate single-lead electrocardiogram data and read result data (S130).

Specifically, the ECG data included in the ECG standard data is learned to extract features from the electrode waveform of 12-lead data from the single-lead measurement data to generate single-lead ECG data, corresponding to the single-lead ECG data, that is, 12-lead data. The read result data for determining the presence or absence of a heart disease may be generated by using the heart disease data. Here, as a method of extracting the features of the electrode waveform, characteristic points such as the P, Q, R, S, T peaks and P waves, QRS complex, and T-wave start points and end points are detected from the ECG signal A reference point-based feature extraction method using time information, amplitude, area, angle, etc. as (characteristic value) can be mainly used. Alternatively, a hybrid method using a wavelet correlation coefficient and an autocorrelation coefficient without using a feature point, or using a reference point-based features together may be used.

Next, the electrocardiogram measuring apparatus 10 may visually or aurally output the single-lead electrocardiogram data and electrocardiogram result data including the read result data so that the user can check it (S140). For example, if the ECG result data is output after the ECG measurement is completed, the ECG measurement device 10 displays the read result data as O/X, flashes the screen in red or green, or'is normal' or ' You can display information such as'I recommend a visit to the hospital'. At the same time, the electrocardiogram measuring device 10 may guide the silver guide phrase with sound.

In contrast, when the single-lead measurement data measured by the user is acquired, the electrocardiogram measuring apparatus 10 may recognize the previous single-lead measurement data and a portion where there is a change, and output ECG result data reflecting the changed portion. In addition, the electrocardiogram measuring apparatus 10 compares the user's heart information and single-lead measurement data based on the user's heart information, detects that the electrode waveform of some of the leads of the electrocardiogram has changed, and reflects the changed part to the user. Data can be output.

Next, the ECG measuring apparatus 10 may transmit the ECG result data to the management server 20 (S150).

Finally, the management server 20 may update the ECG standard data in real time using the ECG result data received from the ECG measuring device 10 (S160).

6 is a view for explaining a method of measuring an electrocardiogram for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.

First, as shown in FIG. 6, the management server 20 may generate ECG standard data (S200). The step of generating ECG standard data may be performed in the same manner as in step S100.

Next, the electrocardiogram measuring apparatus 10 may obtain an electrocardiogram from a user who wants to measure an electrocardiogram and generate single-lead measurement data (S210).

Next, the electrocardiogram measuring apparatus 10 may transmit single-lead measurement data to the management server 20 (S220).

Next, the management server 20 receives the single-lead measurement data, learns ECG standard data, analyzes the single-lead measurement data, and generates single-lead ECG data and read result data (S230).

Specifically, the management server 20 generates single-lead ECG data by extracting features of 12-lead data from single-lead measurement data using the ECG data included in the standard ECG data, and generates the single-lead ECG data, that is, 12-lead By using the heart disease data corresponding to the data, reading result data for determining whether or not there is a heart disease may be generated.

In contrast, when receiving a plurality of single-lead measurement data from the electrocardiogram measuring device 10, the management server 20 identifies the previous single-lead measurement data and the part where there is a change, and generates ECG result data reflecting the changed part. can do. In addition, the management server 20 compares the user's heart information with the single-lead measurement data based on the user's heart information, detects that the electrode waveform of some of the leads of the ECG has changed, and reflects the changed part to the user. Can be created.

Next, the electrocardiogram measuring apparatus 10 may receive the electrocardiogram result data including single-lead electrocardiogram data and read result data from the management server 20 and output the electrocardiogram result data visually or aurally so that the user can check it. Yes (S240).

Finally, the management server 20 may update the standard ECG data in real time using the ECG result data (S250).

7 is a view for explaining an electrocardiogram measuring system for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.

Referring to FIG. 7, an electrocardiogram measuring system 2 for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention may include a user terminal 30.

Except for the user terminal 30 shown in FIG. 7, it may have the same characteristics as the electrocardiogram measurement system 1 that determines the presence or absence of a heart disease using single-lead electrocardiogram data shown in FIGS. 1 and 2.

In FIG. 7 below, detailed descriptions of contents overlapping with those described in FIGS. 1 and 2 may be omitted, and different points may be mainly described. Accordingly, components that perform the same functions as those of the electrocardiogram measuring system 2 illustrated in FIG. 7 are denoted by the same reference numerals as those of FIGS. 1 and 2, and detailed descriptions thereof will be omitted.

First, the user terminal 30 can control the operation of the ECG measuring device 10 in the user terminal 30 by using an application program (application program or application), such an application program through wireless communication. It can be downloaded from an external server or management server (20).

The user terminal 30 is synchronized in real time with the electrocardiogram measuring device 10 and the management server 20 using a wireless communication network to transmit and receive data.

The user terminal 30 may include a signal transmission/reception unit 32, a memory unit 34, a display unit 36, and a terminal control unit 38.

The signal transmitting and receiving unit 32 may receive standard electrocardiogram data from the management server 20 and receive single-lead measurement data from the electrocardiogram measuring device 10. In addition, the signal transmitting and receiving unit 32 may transmit ECG result data to the ECG measuring device 10 and the management server 20.

The memory unit 34 may store data transmitted/received between the ECG measuring device 10 and the management server 20 through a wireless communication network.

The display unit 36 may monitor data transmitted and received between the electrocardiogram measuring device 10, the management server 20, and the user terminal 30 through a screen. The operating state of the electrocardiogram measuring device 10 is visually and aurally output so that the user can easily check it. Accordingly, since the user can control the ECG measuring device 10 through the user terminal 30 without directly manipulating the ECG measuring device 10, it is possible to further increase the convenience of use.

The terminal control unit 38 learns the standard ECG data received from the management server 20, analyzes the single lead measurement data received from the ECG measuring device 10, and analyzes the single lead ECG data and the ECG result including the read result data. Data can be created.

In addition, the terminal control unit 38 receives a plurality of single-lead measurement data from the electrocardiogram measuring device 10, which is usually measured by the user using the ECG measuring device 10 from time to time, the previous single-lead measurement data It is possible to identify the part with the change and output ECG result data reflecting the changed part.

For example, if the second single-lead measurement data received from the user has a change from the first single-lead measurement data measured before the second single-lead measurement data, the terminal control unit 38 identifies the changed part and It is possible to output the ECG result data including the guidance of'Acute Heart Disease' or'No Heart Disease'.

In addition, when receiving single-lead measurement data from the user based on the user's heart information, the terminal control unit 38 compares the user's heart information with the single-lead measurement data to detect changes in electrode waveforms of some of the leads of the ECG. It is possible to detect and output ECG result data reflecting the changed part to the user.

For example, if the user has chronic heart disease, the terminal control unit 38 detects the change of the user's single-lead measurement data at each measurement, learns ECG standard data from the single-lead measurement data, and generates ECG result data. Can be printed. At this time, the user's cardiac information may be received from the management server 20, may be input from a user through an input device (not shown) of the electrocardiogram measuring device 10, or may be input from a hospital institution.

In contrast, when the ECG result data is generated by the ECG measuring device 10, the terminal controller 38 may receive the ECG result data from the ECG measuring device 10 and transmit it to the management server 20. In addition, when the ECG result data is generated by the management server 20, the terminal control unit 38 may receive the ECG result data from the management server 20 and transmit it to the ECG measuring device 10.

Such a user terminal 30 may include various portable electronic communication devices supporting communication with the electrocardiogram measuring device 10 and the management server 20. For example, as a separate smart device, a smart phone, a personal digital assistant (PDA), a tablet, a wearable device, for example, a smartwatch, a glass-type terminal (Including Smart Glass), Head Mounted Display (HMD), etc.), and various terminals such as Internet of Things (IoT) terminals, but are not limited thereto.

The operation of the electrocardiogram measurement system 2 for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention having such a structure is as follows. 8 is a view for explaining a method of measuring an electrocardiogram for determining the presence or absence of a heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.

In FIG. 8, a case in which ECG result data is generated by the user terminal 30 will be described. Accordingly, steps S310 of generating ECG standard data are the same as steps S100 and S200 shown in FIGS. 3 and 6, and steps S320 of generating single lead measurement data are steps S120 and S210 shown in FIGS. 3 and 6 and The same, steps S350 of outputting ECG result data are the same as steps S140 and S240 shown in FIGS. 3 and 6, and steps S360 of updating standard ECG data are steps S160 and S250 shown in FIGS. 3 and 6 Since it may be the same as, detailed description thereof will be omitted.

First, as shown in FIG. 8, the user terminal 30 may receive standard ECG data from the management server 20 (S310), and receive single-lead measurement data from the ECG measuring device 10 (S330). ).

Next, the user terminal 30 learns the ECG standard data received from the management server 20, analyzes the single lead measurement data received from the ECG measuring device 10, and includes the single lead ECG data and the read result data. The resulting ECG data may be generated (S340).

In addition, when receiving a plurality of single-lead measurement data from the electrocardiogram measuring device 10, the user terminal 30 identifies the previous single-lead measurement data and the portion where there is a change, and generates ECG result data reflecting the changed portion. I can. In addition, the user terminal 30 compares the user's heart information with the single lead measurement data based on the user's heart information, detects that the electrode waveform of some of the leads of the ECG has changed, and reflects the changed part to the user. Can be created.

On the other hand, when the ECG result data is generated by the ECG measuring device 10, the user terminal 30 receives the ECG result data from the ECG measuring device 10 and transmits it to the management server 20, or the management server 20 When the ECG result data is generated in, the ECG result data may be received from the management server 20 and transmitted to the ECG measuring device 10.

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or a combination thereof. Software modules include Random Access Memory (RAM), Read Only Memory (ROM), Erasable Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), Flash Memory, Hard Disk, Removable Disk, CD-ROM, or It may reside on any type of computer-readable recording medium well known in the art to which the invention pertains.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those of ordinary skill in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features. You can understand. Therefore, the embodiments described above are illustrative in all respects, and should be understood as non-limiting.

Claims (13)

As an electrocardiogram measurement method in an electrocardiogram measurement system including an electrocardiogram measurement device and a management server, Receiving, by the management server, ECG data generated by matching single-lead data and 12-lead data and ECG standard data including heart disease data corresponding to the 12-lead data from the management server; The electrocardiogram measuring apparatus generating single-lead electrocardiogram measurement data; The electrocardiogram measuring apparatus learning the electrocardiogram standard data and generating electrocardiogram result data from the electrocardiogram measurement data; And Including, the ECG measuring device transmitting the ECG result data to the management server, The step of generating the ECG result data, Generating, by the electrocardiogram measuring device, the single-lead electrocardiogram data by analyzing the single-lead electrocardiogram data based on the electrocardiogram data; Generating, by the electrocardiogram measuring device, read result data of determining whether or not there is a heart disease corresponding to the heart disease data by using the single lead electrocardiogram data; And Outputting, by the electrocardiogram measuring device, the electrocardiogram result data including the single lead electrocardiogram data and the read result data to the user; including, electrocardiogram measurement for determining the presence or absence of a heart disease using the single lead electrocardiogram data Way. The method of claim 1, Generating the single lead electrocardiogram data, An electrocardiogram measuring method for determining the presence or absence of a heart disease by using the single-lead electrocardiogram data to generate the single-lead electrocardiogram data by extracting features of the 12-lead data from the single-lead measurement data. The method of claim 1, Generating, by the management server, the ECG standard data; including, Using single-lead ECG data to determine the presence or absence of a heart disease ECG measurement method. The method of claim 3, Receiving, by the management server, the 12-lead data and the heart disease data corresponding to the 12-lead data; Receiving, by the management server, the single-lead data corresponding to the 12-lead data; Generating the electrocardiogram data by matching the 12-lead data and the single-lead data by the management server; Extracting, by the management server, the heart disease data corresponding to the 12-lead data from the heart disease data; And Generating, by the management server, the ECG data and the ECG standard data including the heart disease data corresponding to the ECG data; including, ECG measurement for determining the presence or absence of a heart disease using single-lead ECG data Way. The method of claim 4, Generating the electrocardiogram data, Analyzing, by the management server, an electrode waveform of the 12-lead data; Analyzing, by the management server, an electrode waveform of the single lead data; Matching, by the management server, an electrode waveform of the 12-lead data and an electrode waveform of the single-lead data; And Generating the electrocardiogram data by extracting, by the management server, a common electrode waveform of the lead data and the single-lead data; including, using the single-lead electrocardiogram data to determine the presence or absence of a heart disease. The method of claim 1, The management server, when receiving the single-lead ECG measurement data from the ECG measuring device, learns the ECG standard data, generates ECG result data from the ECG measurement data, and transmits the ECG result data to the ECG measuring device. Electrocardiogram measurement method to determine the presence or absence of heart disease using. The method of claim 1, The cardiac disease data includes cardiac disease data that can be checked through an electrode waveform of the 12-lead data, using single-lead electrocardiogram data to determine the presence or absence of a heart disease. The method of claim 1, The management server receiving the ECG result data from the ECG measuring device and updating the ECG standard data; further comprising, using single-lead ECG data to determine the presence or absence of a heart disease. The method of claim 1, The step of generating the ECG result data, Learning the ECG standard data based on the user's heart information to generate the ECG result data from the single lead measurement data. A driving unit that is in direct contact with the user's body to obtain single-lead electrocardiogram measurement data from the user; And ECG data generated by matching single-lead data and 12-lead data and ECG standard data including heart disease data corresponding to the 12-lead data are learned to analyze the single-lead ECG measurement data to determine the user's heart disease. Including an electrocardiogram measuring device including; a main body for determining and outputting ECG result data, The body unit learns the standard ECG data, extracts the 12-lead data from the single-lead ECG measurement data, generates single-lead ECG data, and uses heart disease data corresponding to the single-lead ECG data An electrocardiogram measuring system for determining the presence or absence of a heart disease using single-lead electrocardiogram data for generating read result data including the determination result. The method of claim 10, And a management server that generates the ECG standard data and, when receiving the single-lead ECG measurement data from the ECG measuring device, learns the ECG standard data and generates the ECG result data using the ECG measurement data; An electrocardiogram measurement system that determines the presence or absence of a heart disease using single lead electrocardiogram data The method of claim 11, When receiving the single-lead ECG measurement data from the ECG measuring device and receiving the ECG standard data from the management server, a user who learns the ECG standard data and generates the ECG result data using the ECG measurement data An electrocardiogram measuring system for determining the presence or absence of a heart disease using single-lead electrocardiogram data, further comprising a terminal. A computer program combined with a computer as hardware and stored in a recording medium readable by a computer to perform the method of claim 1.

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