KR102078703B1 - Ecg measuring system for determining existence and non existence of heart disease using single lead ecg data and method thereof - Google Patents

Abstract

Provided are an electrocardiogram (ECG) measuring system for determining existence or non-existence of a heart disease using single-lead ECG data, and a method thereof. The method is a method of measuring an ECG performed in the ECG measuring system which includes an ECG measuring device and a management server. The method comprises the following steps: receiving, by the ECG measuring device, ECG standard data including ECG data generated by matching single-lead data and 12 lead data from the management server and heart disease data corresponding to the 12 lead data; generating, by the ECG measuring device, single-lead measuring data; generating, by the ECG measuring device, ECG result data from the single-lead measuring data by learning the ECG standard data; and transmitting, by the ECG measuring device, the ECG result data to the management server. The step of generating ECG result data may comprise the following steps: generating, by the ECG measuring device, single-lead ECG data by analyzing the single-lead measuring data based on the ECG data; generating, by the ECG measuring device, read result data in which existence or non-existence of a heart disease corresponding to the heart disease data is determined using the single-lead ECG data; and outputting, by the ECG measuring device, the ECG result data including the single-lead ECG data and the read result data.

Description

ECG MEASURED SYSTEM FOR DETERMINING EXISTENCE AND NON EXISTENCE OF HEART DISEASE USING SINGLE LEAD ECG DATA AND METHOD THEREOF}

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

In general, electrocardiogram (ECG) systems monitor the electrical activity of the patient's heart. Electrocardiogram systems are useful devices for conveniently diagnosing a patient's heart condition. Electrocardiographs can be classified into several types depending on their purpose. As a hospital electrocardiograph to obtain as much information as possible, a 12-channel electrocardiograph using 10 wet electrodes is used as a standard. The measured electrocardiogram can be largely composed of P wave caused by depolarization of the atrium, QRS complex caused by depolarization of the ventricles, and T wave due to repolarization of the ventricles. ECG analysis is a well established method for the study of cardiac function in patients and for identifying disorders of the heart. Doctors have been using the ECG system for decades to monitor cardiac activity in Chinese characters. Currently, there are several other systems that monitor ECG signals to monitor the electrical activity of the patient's heart and to identify the type of heart disease the patient is experiencing. Portable ECG measuring apparatuses to which such systems are applied have been developed. However, such a portable electrocardiogram measuring device could not identify various heart diseases by measuring the electrocardiogram using a single electrode as in Korean Patent Registration No. 10-1432813 (2014.08.14).

The problem to be solved by the present invention is to learn the ECG standard data generated by matching the 12-lead data and the single-lead data to extract the feature of the 12-lead data from the single-lead measurement data obtained from the user to determine the presence of heart disease It provides an electrocardiogram measuring system and method for determining the presence of heart disease using single-lead electrocardiogram data.

Disclosure of Invention Problems to be solved by the present invention are to provide an electrocardiogram measuring system and method for determining the presence of a disease of a heart using single-lead electrocardiogram data in consideration of user diversity, convenience and reliability.

The problem to be solved by the present invention is to use the single-lead ECG data that can determine the presence of heart disease by extracting features of the 12-lead data from the single-lead measurement data by generating and learning ECG standard data using deep learning By providing an electrocardiogram measuring system and method for determining the presence of a disease of the heart.

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

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

Electrocardiogram measurement method for determining the presence of a disease of the heart by using a single-lead electrocardiogram data according to an embodiment of the present invention for solving the above problems, ECG measurement in an electrocardiogram measurement system including an electrocardiogram measuring device and a management server The ECG measuring apparatus may include receiving ECG standard data including ECG data generated by matching single-lead data and 12-lead data and heart disease data corresponding to the 12-lead data from the management server; The electrocardiogram measuring device generating single read measurement data; The electrocardiogram measuring device learning the electrocardiogram standard data to generate the electrocardiogram result data from the single lead measurement data; And the electrocardiogram measuring device transmitting the electrocardiogram result data to the management server. The generating of the electrocardiogram result data may include the single electrocardiogram measuring data being measured by the electrocardiogram measuring device based on the electrocardiogram data. Analyzing and generating single-lead electrocardiogram data; Generating, by the ECG measuring device, read result data in which a heart disease corresponding to the heart disease data is determined using the single-lead ECG data; And outputting, by the EKG apparatus, the ECG result data including the single-lead ECG data and the read result data.

In an embodiment of the present disclosure, the generating of the single-lead electrocardiogram data may include extracting a feature of the 12-lead data from the single-lead measurement data to generate the single-lead electrocardiogram data.

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

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 read data corresponding to the 12 read data; Generating, by the management server, the ECG data by matching the 12-lead data and the single-lead data; Extracting, by the management server, the heart disease data corresponding to the 12 lead data of the heart disease data; And generating, by the management server, the electrocardiogram standard data including the electrocardiogram data and the heart disease data corresponding to the electrocardiogram data.

In an embodiment of the present disclosure, the generating of the electrocardiogram data may include: analyzing, by the management server, an electrode waveform of the 12 lead data; Analyzing, by the management server, an electrode waveform of the single read 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 ECG data by extracting a common electrode waveform of the 12 lead data and the single lead data.

In one embodiment of the present invention, when the management server receives the single-lead measurement data from the electrocardiogram measuring device, the electrocardiogram standard data is generated by generating the electrocardiogram result data from the single-lead measurement data and the electrocardiogram Can be sent to the measuring device.

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

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

In an embodiment of the present disclosure, the generating of the electrocardiogram result data may generate the electrocardiogram result data from the single lead measurement data by learning the electrocardiogram standard data based on the cardiac information of the user.

In addition, an electrocardiogram measurement system for determining the presence of a disease of the heart by using a single-lead electrocardiogram data according to another embodiment of the present invention for solving the above problems, the single-lead measurement from the user in direct contact with the user's body A driver for acquiring data; And 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, and analyzing the single-lead measurement data to identify a disease of the user's heart. An electrocardiogram measuring apparatus including a body portion for determining and outputting electrocardiogram result data, wherein the body portion learns the electrocardiogram standard data and extracts the 12 lead data from the single lead measurement data to obtain single lead electrocardiogram data. In addition, the cardiac disease data corresponding to the single-lead electrocardiogram data may be used to determine whether there is a disease of the heart and generate read result data including the determination result.

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

In one embodiment of the present invention, when receiving the single-lead measurement data from the electrocardiogram measuring device and receiving the electrocardiogram standard data from the management server, by using the single-lead measurement data by learning the electrocardiogram standard data The apparatus may further include a user terminal configured to generate the ECG result data.

A program according to an embodiment of the present invention is combined with a computer, which is hardware, and can be read by a computer, which can be read by a computer so as to perform an electrocardiogram measuring method for determining a disease of a heart using the single-lead ECG data. Are stored in.

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

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

According to the present invention, electrocardiogram result data is generated by learning ECG standard data generated by matching 12-lead data with single-lead data, thereby more accurately determining the presence or absence of a disease of the heart, thereby providing confidence to the user.

According to the present invention, the electrocardiogram measuring device is portable, thereby increasing the user's convenience regardless of time and place, and acquiring single-lead electrocardiogram data to accurately determine the presence or absence of heart disease, thereby respecting the diversity of users. While convenience and reliability can be increased.

According to the present invention, the electrocardiogram measuring device is equipped with a built-in power supply that can be charged, while preventing unnecessary waste of battery and can be charged by a general portable terminal charger, it is easy to charge and do not need to purchase a separate charger Can be economical.

According to the present invention, the ECG standard data is learned based on the information of the user to generate the ECG result data, so that the disease state of the user can be determined more quickly.

According to the present invention, by grasping the cardiac disease data that can occur to the user based on the user's information, and learning the electrocardiogram standard data to generate electrocardiogram result data, it is possible to more accurately determine the presence of heart disease to the user It can give you confidence.

Effects of the present invention are not limited to the above-mentioned effects, 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 measuring system for determining the presence or absence of a disease of a heart using single-lead electrocardiogram data according to an embodiment of the present invention.
FIG. 2 is a diagram for describing a detailed configuration of an electrocardiogram measuring system for determining whether a heart disease exists using the single-lead electrocardiogram data shown in FIG. 1.
3 is a view for explaining an electrocardiogram measuring method for determining the presence of a disease of the heart using the single-lead electrocardiogram data according to an embodiment of the present invention.
4 and 5 are diagrams for explaining the step of generating the electrocardiogram standard data shown in FIG.
FIG. 6 is a diagram illustrating an electrocardiogram measurement method for determining a disease of a heart 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 of heart disease using single-lead electrocardiogram data according to another embodiment of the present invention.
8 is a view for explaining an electrocardiogram measurement method for determining the presence of a disease of the heart using the single-lead electrocardiogram data according to another embodiment of the present invention.

Advantages and features of the present invention, and methods of achieving them will be 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 embodied in various different forms, only the present embodiments are intended to complete the disclosure of the present invention, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully inform the skilled person of the scope of the invention, which is defined only by the scope of the claims.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and / or "comprising" does not exclude the presence or addition of one or more other components in addition to the mentioned components. Like reference numerals refer to like elements throughout, and "and / or" includes each and all combinations of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are of course not limited by these terms. These terms are only used to distinguish one component from another. Therefore, of course, the first component mentioned below may be the second component within the technical spirit of the present invention.

Unless otherwise defined, all terms used in the present specification (including technical and scientific terms) may be used in a sense that can be commonly understood by those skilled in the art. In addition, terms that are defined in a commonly used dictionary are not ideally or excessively interpreted unless they are specifically defined clearly.

Hereinafter, with reference to the accompanying drawings will be described an embodiment of the present invention;

1 is a conceptual diagram illustrating an electrocardiogram measuring system for determining the presence of a disease of a heart using single-lead electrocardiogram data according to an embodiment of the present invention, and FIG. 2 is a diagram of a single-lead electrocardiogram data shown in FIG. It is a figure for demonstrating the detailed structure of the ECG measuring system which determines the presence or absence of the disease of the heart.

1 and 2, an electrocardiogram measuring system 1 for determining the presence of a disease of a heart using single-lead electrocardiogram data according to an embodiment of the present invention is an electrocardiogram measuring apparatus 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. Wireless communication networks may be supported by various telecommunication methods, for example, wireless LAN (WLAN), Digital Living Network Alliance (DLNA), Wireless Broadband (Wibro), and WiMAX (World Interoperability for Microwave Access: Wimax). ), Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (EV-DO), Wideband CDMA (WCDMA) , 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: WMBS, BLE (Bluetooth Low Energy), Zigbee (Zigbee), RF (Radio Frequency), LoRa (Long Range) can be applied to a variety of communication methods, such as, but not limited to a variety of widely known wireless or mobile communication Method applied May.

The electrocardiogram measuring apparatus 10 is a portable electrocardiogram measuring apparatus 10, and may operate using an application program or an application in the present disclosure, and the application program may be executed through an external server or a wireless communication. It can be downloaded from the management server 20. The electrocardiogram measuring apparatus 10 may be a patch type and may be formed of an electronic device that is attached to a chest or a wrist of a user using one electrocardiogram lead to acquire an electrode waveform of the user. Without being limited to this, the electronic device may be a wearable device capable of obtaining electrode waveforms from the body, for example, a body wearable device (eg, a head wearable device, a bracelet, anklet, a necklace, a ring, a watch, etc.), It may be at least one of a one-piece garment, a body-mounted or a living implant.

As shown in FIG. 2, the ECG 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 electrocardiogram standard data from the management server 20 and transmit the electrocardiogram result data to the management server 20. In addition, when transmitting the single read measurement data to the management server 20, the communication module 120 may receive the ECG result data from the management server 20.

 Here, the single read measurement data may be data obtained through the driver 12. The electrocardiogram result data may include reading result data of the presence or absence of a disease of the user's heart and single lead electrocardiogram data extracted from the single lead measurement data using the electrocardiogram 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 corresponding to the ECG result data.

The heart disease data may include arrhythmia, cardiac hypertrophy, congenital heart malformations, heart valve disease, myocardial disease, coronary artery disease, inflammatory disease of the heart, and cardiac disease data based on a large category of electrolyte imbalance.

The display module 122 is a means for visually and audibly displaying the current operating state of the electrocardiogram measuring apparatus 10. The display module 122 may display symbols, letters, numbers, and the like on the screen according to the operating state. It may include a lamp for outputting, or a speaker for outputting audio.

For example, when the ECG result data is output after the ECG measurement is completed, the display module 122 displays the read result data as O / X, blinks the screen in red or green, or is 'normal' or 'hospital'. Recommend a visit. ” At the same time, the display module 122 may guide the guide phrases to the sound so that the user can accurately check the presence or absence of a disease of his heart.

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

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

The power module 126 may receive power from an external power source or an internal power source under the control of the control module 128 to supply power to each component included in the ECG 10. The power module 126 includes a battery (not shown), and can visually check the battery remaining amount. The battery can be charged by connecting a USB to a 220V commercial power source or a laptop or computer. In addition, the battery unit is a battery for mobile phones, using a 3.7V lithium-ion battery, the most economical and efficient secondary battery can be used to charge the battery with a mobile phone battery charger. Alternatively, the battery may be a built-in battery or a replaceable battery.

When the control module 128 receives the single-lead measurement data from the driving unit 12 by operating the driving unit 12 by a manual operation of a user, the control module 128 learns electrocardiogram standard data received from the management server 20 to electrocardiogram result data. You can generate and output In detail, the control module 128 analyzes single-lead measurement data using electrocardiogram data included in electrocardiogram standard data, extracts 12-lead data from the single-lead measurement data, and generates single-lead electrocardiogram data corresponding thereto. The read result data in which the cardiac disease is determined using the read ECG data, that is, the heart disease data corresponding to the 12-lead data may be generated. Accordingly, the controller 128 obtains a read result of the heart disease data that can be checked in the 12-lead data using only the single-lead measurement data of the user, thereby accurately determining the presence or absence of the disease in the user's heart regardless of time or place. can do. In other words, by using the portable electrocardiogram measuring device 10, it is possible to accurately determine whether there is a disease of the heart by acquiring single-lead ECG data while increasing user convenience regardless of time and place, thereby respecting the diversity of users. While convenience and reliability can be increased.

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

On the contrary, when the control module 128 receives the single read measurement data from the drive unit 12 by operating the drive unit 12 by a user's manual operation, and transmits the single read measurement data to the management server 20, The ECG result data for the single read 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 the user who usually measures the ECG by using the ECG measuring device 10 from time to time, the control module 128 grasps a portion that is different from previous single-lead measurement data. The ECG result data reflecting the changed portion may be output.

For example, when the second single read measurement data received from the user is different from the first single read measurement data measured before the second single read measurement data, the control module 128 determines the changed part. ECG result data including guidance of 'acute heart disease' or 'no heart disease' may be output.

When the control module 128 receives the single read measurement data from the user, the control module 128 compares the user's cardiac information with the single read measurement data based on the cardiac information of the user to change the electrode waveform of some of the leads of the ECG. Sensing and outputting the electrocardiogram result data reflecting the changed part to the user.

For example, when the user has a chronic heart disease, the control module 128 detects a change in the single lead measurement data of the user every time of measurement and learns electrocardiogram standard data from the single lead measurement data to generate electrocardiogram result data. You can print In this case, the cardiac information of the user may be received from the management server 20 or received from the user through an input device (not shown) of the electrocardiogram measuring apparatus 10 or from another server such as a hospital. 12 is a stimulus means for directly contacting the user's body, in this embodiment may be a patch type consisting of one lead wire, but is not limited thereto.

The driver 12 may be in contact with the skin of the user under the control of the control module 128 to provide an electrical stimulus to obtain single-lead measurement data of the electrical stimulus from the user. Although the attachment position of the driving unit 12 is described in this embodiment as the chest or the wrist, the present invention is not limited thereto, and may be any part of the body that is capable of acquiring data reacted by an electrical stimulus.

Alternatively, the driver 12 may include a proximity sensor (not shown) included in the inner surface of the driver 12 in contact with the user's skin and detecting a change in distance between the user's skin and the driver 12. . For example, the proximity sensor detects between the user's skin and the driver 12 when the driver 12 is driven, and checks whether the patch of the driver 12 is well attached to the user's skin. By energizing the electricity that can be accurately obtained the electrical signal of the heart to the user's heartbeat.

In addition, the driving unit 12 may include a temperature sensor (not shown) included in the inner surface of the driving unit 12 in contact with the user's skin to sense a temperature change between the user's skin and the driving unit 12. For example, by detecting the temperature rise between the patch and the skin of the drive unit 12 can be prevented in advance to damage the user's skin due to the excessive temperature rise, thereby allowing the user to safely protect the ECG device 10 Can be used

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

The database unit 24 may store data transmitted and received with the ECG 10 through a wireless communication network. In this case, the ECG standard data may be updated and stored in real time corresponding 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 applications (application programs or applications), data for operating the management server 20, and instructions that are driven by the management server 20. At least some of these application programs may be downloaded from an external server through wireless communication.

Meanwhile, the single lead data, the 12 lead data, the electrocardiogram disease data, and the electrocardiogram standard data used in the present embodiment stored in the database unit 24 may be implemented in the form of a mapping table corresponding thereto, but are not limited thereto.

The monitoring unit 26 displays an operating state of the ECG measuring apparatus 10 by a user operation, an operating state of the management server 20, and data transmitted and received between the ECG measuring apparatus 10 and the management server 20. Can be monitored through. That is, by checking the use state of the electrocardiogram measuring apparatus 10 in real time, the user can be more convenient to use and can give the user more confidence.

The management controller 28 may generate electrocardiogram standard data by matching single-lead data and 12-lead data using deep learning. Although it has been described as using deep learning in the present embodiment, a machine learning technique such as a random forest and a support vector machine may be used without being limited thereto.

Electrocardiogram standard data may include electrocardiogram data and heart disease data. Here, the electrocardiogram data may be 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 electrocardiogram data. The method of generating electrocardiogram standard data will be described later in more detail with reference to FIGS. 4 and 5.

On the other hand, the management control unit 28, when receiving the single-lead measurement data from the electrocardiogram measuring apparatus 10, by grasping the heart disease data that can occur from the single-lead measurement data to learn to match the corresponding 12-lead data ECG standard data can be generated.

Accordingly, when receiving the single-lead measurement data from the electrocardiogram measuring apparatus 10, the management control unit 28 uses the learned electrocardiogram standard data so that the electrode waveforms of some of the leads of the electrocardiogram from the single-lead measurement data of the user are changed. It can detect the change and generate electrocardiogram result data. In other words, the single-lead electrocardiogram data is generated by extracting the 12-lead data from the single-lead measurement data, and the presence or absence of heart disease using the single-lead electrocardiogram data, that is, the heart disease data corresponding to the 12-lead data, is used. Can generate the determined read result data.

For example, when a plurality of single-lead measurement data is received from the ECG 10, when the second single-lead measurement data is different from the first single-lead measurement data previously received than the second single-lead measurement data. In addition, the management control unit 28 may detect the changed part and output the electrocardiogram result data including the guidance of 'acute heart disease' or 'no heart disease'.

In addition, when receiving the single-lead measurement data from the electrocardiogram measuring apparatus 10, the management control unit 28 compares the cardiac information of the user with the single-lead measurement data to detect that the electrode waveform of some of the leads of the ECG is changed and the user ECG result data reflecting the changed part can be output.

For example, if the user has a chronic heart disease, the management control unit 28 detects the change of the single-lead measurement data of the user at each measurement, learns electrocardiogram standard data from the single-lead measurement data, and generates electrocardiogram result data. You can print In this case, the cardiac information of the user may be input from the user or may be input from an external server such as the ECG measuring apparatus 10 or a hospital.

The management server 20 may be implemented by hardware circuits (eg, CMOS-based logic circuits), 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.

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

First, as shown in FIG. 3, the management server 20 may generate electrocardiogram 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, electrocardiogram is a signal recording the electrical activity of the heart, it can be obtained by measuring the electrical signal generated from the heart muscle through the electrode attached to the body surface.

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

For example, heart disease data for electrode waveforms of the first to twelve leads may be received together. Cardiac disease data may be data that can be largely categorized through first to 12 lead electrode waveforms. The present embodiment may include, but is not limited to, arrhythmia, cardiac hypertrophy, congenital heart malformations, heart valve disease, myocardial disease, coronary artery disease, inflammatory disease of the heart, and cardiac disease data based on a large class of electrolyte imbalances.

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, the heart disease data can be received through the 12-lead data.

For example, referring to FIG. 5A, the first lead (I-aVR), the second lead (aVR-V1), the third lead (V1-V4), the fourth lead (V4-II), and the first lead (I-aVR) 5 lead (II-aVL), 6th lead (aVL-V2), 7th lead (V2-V5), 8th lead (V5-III), 9th lead (III-aVF), 10th lead (aVF- The first lead heart disease data and the second lead (V1), which can be checked in the first lead (I-aVR) while receiving electrode waveforms of V3), eleventh lead (V3-V6), and twelfth lead (V6-end). Second lead heart disease data found in aVR-V1), third lead heart disease data found in third lead (V1-V4), fourth lead heart disease found in fourth lead (V4-II) Disease data, Lead 5 heart disease data found in Lead 5 (II-aVL), Lead 6 heart disease data found in Lead 6 (aVL-V2), Lead 7 in heart lead (V2-V5) In the seventh lead heart disease data that can be found, the eighth lead heart disease data that can be found in the eighth lead (V5-III), and the ninth lead (III-aVF) Lead 9 heart disease data available, Lead 10 heart disease data available in Lead 10 (aVF-V3), Lead 11 heart disease data available in Lead 11 (V3-V6), 12 Each of the twelfth lead heart disease data that can be checked in the leads V6-end may be received.

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

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

For example, after analyzing the electrode waveform of the 12-lead data and the electrode waveform of the single-lead data, the characteristics of the electrode waveforms are extracted, and the electrode waveforms are matched with each other, and the ECG data having the characteristics of the common electrode waveforms are learned through the learning. Can be generated. Here, the method of extracting the characteristics of the electrode waveform is characterized by detecting characteristic points such as P, Q, R, S, T peaks, P points, QRS complex, T points, and the like in the ECG signal. As a characteristic value, a reference point based feature extraction method using time information, amplitude, area, angle, etc. may be mainly used. Alternatively, a hybrid method using wavelet coefficients, autocorrelatioin coefficients, or reference point-based features may be used without using feature points.

Next, the management server 20 may extract cardiac disease data corresponding to electrocardiogram data (S105), and generate electrocardiogram standard data including electrocardiogram data and heart disease data (S106). That is, electrocardiogram data is generated by matching single-lead data with 12-lead data to obtain a read result of heart disease data that can be checked in the 12-lead data using only the single-lead measurement data. In other words, electrocardiogram data including the characteristics of the 12-lead data and the characteristics of the single-lead data, and cardiac disease data identified during the 12-lead data correspond to the electrocardiogram data. Can identify heart disease more accurately

On the other hand, when the management server 20 receives the single-lead measurement data from the electrocardiogram measuring apparatus 10, by identifying the heart disease data that may occur from the single-lead measurement data to learn to match the 12-lead data corresponding to each other The ECG standard data corresponding to the single read measurement data may be generated.

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

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

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 generate the single-lead electrocardiogram data and the read result data by analyzing the single-lead measurement data by learning the electrocardiogram standard data (S130).

Specifically, the ECG data included in the ECG standard data is learned to extract features from an electrode waveform of 12-lead data from the single-lead measurement data to generate single-lead ECG data, and correspond to the single-lead ECG data, that is, 12-lead data. The cardiac disease data may be used to generate reading result data in which a heart disease is determined. Here, the method of extracting the characteristics of the electrode waveform is characterized by detecting characteristic points such as P, Q, R, S, T peaks, P points, QRS complex, T points, and the like in the ECG signal. As a characteristic value, a reference point based feature extraction method using time information, amplitude, area, angle, etc. may be mainly used. Alternatively, a hybrid method using wavelet coefficients, autocorrelatioin coefficients, or reference point-based features may be used without using feature points.

Next, the electrocardiogram measuring apparatus 10 may output the electrocardiogram result data including the single-lead electrocardiogram data and the read result data to be visually or audibly so that the user can check it (S140). For example, when the ECG result data is output after the ECG measurement is completed, the ECG 10 displays the read result data as O / X, blinks the screen in red or green, or is' normal 'or' Recommend a visit to the hospital '. At the same time, the electrocardiogram measuring apparatus 10 may guide the guide phrase by sound.

In contrast, when the electrocardiogram measuring apparatus 10 obtains the single lead measurement data measured by the user, the electrocardiogram measuring apparatus 10 may output the electrocardiogram result data in which the changed portion is reflected by grasping the change portion with the previous single lead measurement data. In addition, the electrocardiogram measuring apparatus 10 compares the cardiac information of the user with the single-lead measurement data based on the cardiac information of the user, detects that the electrode waveform of some of the leads of the electrocardiogram is changed, and reflects the changed portion to the user. Data can be output.

Next, the electrocardiogram measuring apparatus 10 may transmit the electrocardiogram 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 apparatus 10 (S160).

FIG. 6 is a diagram illustrating an electrocardiogram measurement method for determining a disease of a heart 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 electrocardiogram standard data (S200). Generating electrocardiogram standard data may be performed in the same manner as in step S100.

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

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

Next, the management server 20 may receive the single-lead measurement data, learn ECG standard data, analyze the single-lead measurement data, and generate the single-lead ECG data and the read result data (S230).

Specifically, the management server 20 generates the single-lead electrocardiogram data by extracting the feature of the 12-lead data from the single-lead measurement data using electrocardiogram data included in the electrocardiogram standard data, and generates the single-lead electrocardiogram data, that is, the 12-lead electrocardiogram data. The cardiac disease data corresponding to the data may be used to generate read result data in which a heart disease is determined.

In contrast, when the management server 20 receives a plurality of single-lead measurement data from the electrocardiogram measuring apparatus 10, the management server 20 grasps a portion having a change from previous single-lead measurement data and generates electrocardiogram result data reflecting the changed portion. can do. In addition, the management server 20 compares the cardiac information of the user with the single-lead measurement data based on the cardiac information of the user to detect the change in the electrode waveform of some of the leads of the electrocardiogram ECG result data reflecting the changed portion to the user Can be generated.

Next, the electrocardiogram measuring apparatus 10 may receive the electrocardiogram result data including the single-lead electrocardiogram data and the read result data from the management server 20 and output the electrocardiogram result data visually or audibly for the user to check. There is (S240).

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

7 is a view for explaining an electrocardiogram measuring system for determining the presence of 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 whether a heart disease is present 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 illustrated in FIG. 7, the single terminal electrocardiogram data illustrated in FIGS. 1 and 2 may have the same characteristics as the electrocardiogram measuring system 1 that determines the presence or absence of a disease of the heart.

In the following FIG. 7, detailed descriptions of overlapping contents with those described in FIGS. 1 and 2 may be omitted, and the description may be mainly focused on different points. Therefore, the components that perform the same function as the electrocardiogram measuring system 2 shown in FIG. 7 are given the same reference numerals as those in FIGS. 1 and 2 and detailed description thereof will be omitted.

First, the user terminal 30 may control the operation of the electrocardiogram measuring apparatus 10 in the user terminal 30 by using an application program or application, and the application program may be controlled through wireless communication. It can be downloaded from an external server or management server 20.

The user terminal 30 may transmit and receive data by synchronizing in real time using the ECG 10 and the management server 20 in a wireless communication network.

The user terminal 30 may include a signal transmitter / receiver 32, a memory 34, a display 36, and a terminal controller 38.

The signal transmitter / receiver 32 may receive ECG standard data from the management server 20, and receive single-lead measurement data from the ECG measuring apparatus 10. In addition, the signal transmission and reception unit 32 may transmit the ECG result data to the ECG measuring apparatus 10 and the management server 20.

The memory unit 34 may store data transmitted and received between the ECG apparatus 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 apparatus 10, the management server 20, and the user terminal 30 through a screen. The operation state of the electrocardiogram measuring apparatus 10 can be visually and audibly outputted so that the user can easily check the result. Accordingly, since the user can control the ECG 10 through the user terminal 30 without directly operating the ECG 10, it may further increase the ease of use.

 The terminal controller 38 learns the electrocardiogram standard data received from the management server 20, analyzes the single lead measurement data received from the electrocardiogram measuring apparatus 10, and includes the single electrocardiogram data and the read result data. You can generate data.

In addition, the terminal control unit 38 is a conventional single-lead measurement data when the user receives a plurality of single-lead measurement data from the electrocardiogram measuring device 10, the measurement of the electrocardiogram using the ECG measurement device 10 from time to time And the part where the change is made, and the ECG result data reflecting the changed part can be output.

For example, when the second single read measurement data received from the user is different from the first single read measurement data measured before the second single read measurement data, the terminal controller 38 determines the changed part. ECG result data including guidance of 'acute heart disease' or 'no heart disease' may be output.

In addition, when receiving single-lead measurement data from the user based on the cardiac information of the user, the terminal controller 38 compares the cardiac information of the user with the single-lead measurement data, indicating that the electrode waveform of some of the leads of the ECG is changed. Sensing and outputting the electrocardiogram result data reflecting the changed part to the user.

For example, when the user has a chronic heart disease, the terminal controller 38 detects a change in the single lead measurement data of the user every time of measurement and learns electrocardiogram standard data from the single lead measurement data to generate electrocardiogram result data. You can print In this case, the cardiac information of the user may be received from the management server 20 or received from the user through an input device (not shown) of the electrocardiogram measuring apparatus 10 or may be input from a hospital institution.

On the contrary, when the electrocardiogram result data is generated in the electrocardiogram measuring apparatus 10, the terminal controller 38 may receive the electrocardiogram result data from the electrocardiogram measuring apparatus 10 and transmit the received electrocardiogram result data to the management server 20. In addition, when the ECG result data is generated in the management server 20, the terminal controller 38 may receive the ECG result data from the management server 20 and transmit the ECG result data to the ECG measuring apparatus 10.

The user terminal 30 may include various portable electronic communication devices supporting communication with the electrocardiogram measuring apparatus 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 watch type terminal (Smartwatch), a glass type terminal) (Smart Glass), HMD (Head Mounted Display, etc.) and a variety of terminals such as Internet of Things (IoT) terminal may include, but is not limited thereto.

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

In FIG. 8, a case in which electrocardiogram result data is generated by the user terminal 30 will be described. Accordingly, step S310 of generating electrocardiogram standard data is the same as steps S100 and S200 of FIGS. 3 and 6, and step S320 of generating single-lead measurement data is similar to steps S120 and S210 of FIGS. 3 and 6. The same step, S350 step of outputting ECG result data is the same as step S140 and S240 shown in Figs. 3 and 6, S360 step of updating the ECG standard data is step S160 and S250 shown in Figs. 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 ECG standard data from the management server 20 (S310) and receive single-lead measurement data from the ECG 10 (S330). ).

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

In addition, when the user terminal 30 receives a plurality of single-lead measurement data from the electrocardiogram measuring apparatus 10, the user terminal 30 may identify a portion having a change from previous single-lead measurement data and generate electrocardiogram result data reflecting the changed portion. Can be. In addition, the user terminal 30 compares the cardiac information of the user with the single-lead measurement data based on the cardiac information of the user, detects a change in the electrode waveform of a part of the lead of the ECG, and reflects the changed ECG result data to the user. Can be generated.

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

The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, in a software module executed by hardware, or by 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 in any form of computer readable recording medium well known in the art.

In the above, embodiments of the present invention have been described with reference to the accompanying drawings, but those skilled in the art to which the present invention pertains may realize the present invention in other specific forms without changing the technical spirit or essential features thereof. I can understand that. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive.

10: ECG measuring device
20: management server
30: user terminal

Claims (13)

An electrocardiogram measuring method in an electrocardiogram measuring system including an electrocardiogram measuring device and a management server,
Receiving the ECG standard data including ECG data generated by matching single-lead data and 12-lead data and heart disease data corresponding to the 12-lead data from the management server;
The electrocardiogram measuring device generating single read measurement data;
The electrocardiogram measuring device learning the electrocardiogram standard data to generate electrocardiogram result data from the single lead measurement data; And
And the electrocardiogram measuring apparatus transmitting the electrocardiogram result data to the management server.
Generating the electrocardiogram result data,
Generating, by the EKG apparatus, single-lead ECG data by analyzing the single-lead measurement data based on the ECG data;
Generating, by the ECG measuring device, read result data in which a heart disease corresponding to the heart disease data is determined using the single-lead ECG data; And
And electrocardiogram measuring device outputting the electrocardiogram result data including the single-lead electrocardiogram data and the read result data; determining whether a heart disease exists using the single-lead electrocardiogram data. The method of claim 1,
Generating the single-lead electrocardiogram data,
Electrocardiogram measuring method for determining the presence of heart disease using the single-lead electrocardiogram data to generate the single-lead electrocardiogram data by extracting the feature of the 12-lead data from the single-lead measurement data. The method of claim 1,
And generating, by the management server, the electrocardiogram standard data. The electrocardiogram measuring method of determining whether a heart disease exists using single-lead electrocardiogram data. 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 read data corresponding to the 12 read data;
Generating, by the management server, the ECG data by matching the 12-lead data and the single-lead data;
Extracting, by the management server, the heart disease data corresponding to the 12 lead data of the heart disease data; And
Generating, by the management server, the electrocardiogram standard data including the electrocardiogram data and the heart disease data corresponding to the electrocardiogram data; determining the presence or absence of a disease of the heart using the single-lead electrocardiogram data; Way. The method of claim 4, wherein
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 read data;
Matching, by the management server, an electrode waveform of the 12 lead data and an electrode waveform of the single lead data; And
And extracting, by the management server, common electrode waveforms of the 12-lead data and the single-lead data to generate the electrocardiogram data. The method of claim 1,
When the management server receives the single lead measurement data from the electrocardiogram measuring device, the electrocardiogram standard data is learned and the electrocardiogram result data is generated from the single lead measurement data and transmitted to the electrocardiogram measuring device. Electrocardiogram measurement method using data to determine the presence of heart disease. The method of claim 1,
The cardiac disease data includes a cardiac disease data that can be identified through the electrode waveform of the 12-lead data, ECG measurement method for determining the presence of heart disease using single-lead electrocardiogram data. The method of claim 1,
And receiving, by the management server, the ECG result data from the ECG measuring device and updating the ECG standard data. The method of claim 1,
Generating the electrocardiogram result data,
Electrocardiogram measuring method for determining the presence of a disease of the heart using the single-lead electrocardiogram data to generate the electrocardiogram result data from the single-lead measurement data by learning the electrocardiogram standard data based on the user's heart information. A driver for directly contacting a user's body to obtain single read measurement data from the user; And
ECG standard data including ECG data generated by matching single-lead data with 12-lead data and heart disease data corresponding to the 12-lead data is analyzed to analyze the single-lead measurement data to determine the heart disease of the user. Including an electrocardiogram measuring apparatus comprising a; main body for outputting the electrocardiogram result data
The main body unit learns the ECG standard data, extracts the 12-lead data from the single-lead measurement data, generates single-lead ECG data, and uses the cardiac disease data corresponding to the single-lead ECG data to determine whether there is a disease of the heart. ECG system for determining the presence or absence of a disease of the heart using the single-lead electrocardiogram data to determine the to generate the read result data including the determination result. The method of claim 10,
A management server generating the electrocardiogram standard data and learning the electrocardiogram standard data and generating the electrocardiogram result data using the single lead measurement data when receiving the single lead measurement data from the electrocardiogram measuring device; Electrocardiogram measuring system for determining the presence of heart disease using a single-lead ECG data. The method of claim 11,
When receiving the single-lead measurement data from the electrocardiogram measuring device, and receiving the electrocardiogram standard data from the management server, a user for learning the electrocardiogram standard data to generate the electrocardiogram result data using the single-lead measurement data Electrocardiogram measuring system further comprising; terminal, using a single-lead electrocardiogram data to determine the presence of a disease of the heart. A computer program, coupled with a computer, which is hardware, stored on a recording medium readable by a computer to perform the method of claim 1.

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