KR20240115757A - Method, program, and system for providing electrocardiogram readout service - Google Patents

Abstract

According to one embodiment of the present disclosure, a method, program, and device for providing an electrocardiogram reading service performed by a computing device are disclosed. The method includes uploading ECG data generated as ECG measurement is completed to a user interface; and changing a first graphic indicating a reading progress status of ECG data to be read among the ECG data uploaded to the user interface.

Description

Method, program and system for providing electrocardiogram reading service {METHOD, PROGRAM, AND SYSTEM FOR PROVIDING ELECTROCARDIOGRAM READOUT SERVICE}

The content of this disclosure relates to medical service-related technology, and specifically relates to a method of supporting a process for a user to use an electrocardiogram reading service.

Currently, the positive prediction rate (i.e. the probability of an actual disease when the device determines that there is a disease) of ECG devices that users can use in their daily lives, such as smartwatches, is only 5%. Of the cases where an ECG device that can be used in daily life detects a disease, 95% of cases can be considered as cases in which there is no disease.

As a result, waste of medical expenses due to unnecessary hospital visits is increasing. In addition, the reliability of electrocardiogram readings measured in daily life is reduced, resulting in problems such as failing to detect diseases early and preventing complications. In particular, in the case of diseases such as arrhythmia that may recur at any time, continuous and stable monitoring is necessary, but if the reliability of readings of ECG devices that can be used in daily life is not secured, there is a problem that long-term use is difficult.

Additionally, since devices such as smartwatches are not linked to hospitals, users often print out ECG results on a large amount of paper or request confirmation from medical staff via cell phone. Therefore, medical staff spend an unnecessarily large amount of time checking the results, which inevitably leads to a waste of medical resources.

Republic of Korea Patent Publication No. 10-2272448 (2021.07.02.)

The purpose of this disclosure is to provide an electrocardiogram reading service that can stably analyze and monitor electrocardiograms measured in daily life by linking them with hospitals or reading centers.

However, the problems to be solved by this disclosure are not limited to the problems mentioned above, and other problems not mentioned can be clearly understood based on the description below.

According to an embodiment of the present disclosure for realizing the above-described problem, a method of providing an electrocardiogram reading service performed by a computing device is disclosed. The method includes uploading ECG data generated as ECG measurement is completed to a user interface; and changing a first graphic indicating a reading progress status of ECG data to be read among the ECG data uploaded to the user interface.

Alternatively, the upload may be performed based on a first user input commanding selection of one of the stored ECG data as the ECG measurement is completed.

Alternatively, the first user input may be performed in a user interface for inputting basic information including the user's personal information, past medical history information, and electrocardiogram information.

Alternatively, at least one of color, saturation, brightness, shape, or form of the first graphic may be changed depending on the reading progress status of the ECG data that is to be read.

Alternatively, at least one of the color, saturation, brightness, shape or form of the first graphic is used to read the ECG data that is the subject of reading according to a second user input commanding the reading of the ECG data uploaded to the user interface. Once this is completed, it may be subject to change.

Alternatively, the method may further include displaying, on the user interface, a value related to heart age for the ECG data to be read among the ECG data uploaded to the user interface.

Alternatively, the value related to cardiac age may be calculated based on a third user input commanding calculation of cardiac age for the electrocardiogram data to be read.

Alternatively, the third user input may include: an input for selecting a second graphic for triggering calculation of heart age for each ECG data uploaded on the user interface; and an input for entering or selecting information necessary for calculating heart age in a user interface output according to the selection of the second graphic.

Alternatively, the second graphic is such that, when the calculation of the heart age is completed based on the information necessary for the calculation of the heart age, some of the characters guiding the calculation of the heart age display a value related to the calculated heart age. It can be reconstructed into the number it represents.

Alternatively, the necessary information for calculating the heart age may include at least one of blood pressure information, information on whether or not the patient is taking antihypertensive medication, information on whether or not the patient smokes, or information on whether or not the patient has diabetes.

Alternatively, the method may further include displaying information about the reading result on the user interface based on a fourth user input commanding confirmation of the reading result of the ECG data to be read. .

Alternatively, the fourth user input may be performed on the first graphic changed based on the second user input.

According to an embodiment of the present disclosure for realizing the above-described object, a computer program stored in a computer-readable storage medium is disclosed. When the computer program runs on one or more processors, it performs operations to provide an electrocardiogram reading service. At this time, the operations include uploading the ECG data generated as the ECG measurement is completed to the user interface; and an operation of changing a first graphic indicating a reading progress status of ECG data to be read among the ECG data uploaded to the user interface.

According to an embodiment of the present disclosure for realizing the above-described problem, a computing device that provides an electrocardiogram reading service is disclosed. The device includes a processor including at least one core; a memory containing program codes executable on the processor; And it may include a network unit. At this time, the processor uploads the ECG data generated as the ECG measurement is completed to the user interface, and changes the first graphic showing the reading progress status of the ECG data to be read among the ECG data uploaded to the user interface.

According to the method of the present disclosure, by stably analyzing electrocardiograms measured in daily life in conjunction with a hospital or reading center, high reading reliability can be secured and waste of medical resources can be minimized.

1 is a block diagram of a system according to an embodiment of the present disclosure.
2 to 5 are conceptual diagrams showing a user interface screen according to an embodiment of the present disclosure.
Figure 6 is a flowchart showing a method of providing an electrocardiogram reading service according to an embodiment of the present disclosure.
7 is a block diagram of a computing device according to an embodiment of the present disclosure.

Below, with reference to the attached drawings, embodiments of the present disclosure are described in detail so that those skilled in the art (hereinafter referred to as skilled in the art) can easily implement the present disclosure. The embodiments presented in this disclosure are provided to enable any person skilled in the art to use or practice the subject matter of this disclosure. Accordingly, various modifications to the embodiments of the present disclosure will be apparent to those skilled in the art. That is, the present disclosure can be implemented in various different forms and is not limited to the following embodiments.

The same or similar reference numerals refer to the same or similar elements throughout the specification of this disclosure. Additionally, in order to clearly describe the present disclosure, reference numerals in portions of the drawings that are not related to the description of the present disclosure may be omitted.

As used in this disclosure, the term “or” is intended to mean an inclusive “or” and not an exclusive “or.” That is, unless otherwise specified in the present disclosure or the meaning is not clear from the context, “X uses A or B” should be understood to mean one of natural implicit substitutions. For example, unless otherwise specified in the present disclosure or the meaning is not clear from the context, “X uses A or B” means that It can be interpreted as one of the cases where all B is used.

The term “and/or” as used in this disclosure should be understood to refer to and include all possible combinations of one or more of the listed related concepts.

The terms “comprise” and/or “comprising” as used in this disclosure should be understood to mean that certain features and/or elements are present. However, the terms “comprise” and/or “including” should be understood as not excluding the presence or addition of one or more other features, other components, and/or combinations thereof.

Unless otherwise specified in this disclosure or the context is clear to indicate a singular form, the singular should generally be construed to include “one or more.”

The term “Nth (N is a natural number)” used in the present disclosure can be understood as an expression used to distinguish the components of the present disclosure according to a predetermined standard such as a functional perspective, a structural perspective, or explanatory convenience. there is. For example, in the present disclosure, components performing different functional roles may be distinguished as first components or second components. However, components that are substantially the same within the technical spirit of the present disclosure but must be distinguished for convenience of explanation may also be distinguished as first components or second components.

The term “acquisition” used in this disclosure is understood to mean not only receiving data through a wired or wireless communication network with an external device or system, but also generating data in an on-device form. It can be.

Meanwhile, the term "module" or "unit" used in this disclosure refers to a computer-related entity, firmware, software or part thereof, hardware or part thereof. , can be understood as a term referring to an independent functional unit that processes computing resources, such as a combination of software and hardware. At this time, the “module” or “unit” may be a unit composed of a single element, or may be a unit expressed as a combination or set of multiple elements. For example, a "module" or "part" in the narrow sense is a hardware element or set of components of a computing device, an application program that performs a specific function of software, a process implemented through the execution of software, or a program. It may refer to a set of instructions for execution, etc. Additionally, as a broad concept, “module” or “unit” may refer to the computing device itself constituting the system, or an application running on the computing device. However, since the above-described concept is only an example, the concept of “module” or “unit” may be defined in various ways within a range understandable to those skilled in the art based on the contents of the present disclosure.

As used in this disclosure, the term "model" refers to a system implemented using mathematical concepts and language to solve a specific problem, a set of software units to solve a specific problem, or a process to solve a specific problem. It can be understood as an abstract model of a process. For example, a neural network “model” may refer to an overall system implemented as a neural network that has problem-solving capabilities through learning. At this time, the neural network can have problem-solving capabilities by optimizing parameters connecting nodes or neurons through learning. A neural network “model” may include a single neural network or a neural network set in which multiple neural networks are combined.

The explanation of the foregoing terms is intended to aid understanding of the present disclosure. Therefore, if the above-mentioned terms are not explicitly described as limiting the content of the present disclosure, it should be noted that the content of the present disclosure is not used in the sense of limiting the technical idea.

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

Referring to FIG. 1, the system according to an embodiment of the present disclosure includes a client 100 of a user requesting an ECG reading, and a server 200 that receives the reading request through communication with the client 100 and performs ECG analysis. ) may include. The client 100 may transmit a read request or a request for an additional service to the server 200 through wired or wireless communication. The server 200 may read ECG data based on a reading request received from the client 100. At this time, the reading may include a first reading performed through a pre-trained machine learning model that analyzes the presence or absence of the disease, the possibility of developing the disease, or the possibility of worsening the disease, and a second reading performed by a human reading expert. When reading is completed, the server 200 can transmit the reading result to the client 100. At this time, if there is a request for an additional service from the client 100, the server 200 may provide the client 100 with an additional service corresponding to the request.

For example, a user can measure an electrocardiogram using an electrocardiogram measurement device he or she owns and then save it in the client 100. Then, the user can run the application on the client 100 to authenticate himself and then transmit the stored ECG data to the server 200. The server 200 may analyze the ECG data transmitted from the client 100. And, the server 200 may transmit the reading result obtained through analysis to the client 100. The user can run the application on the client 100 and check the reading result transmitted from the server 200.

Meanwhile, the server 200 may be composed of a single entity or may be composed of multiple entities. For example, the server 200 may be a hospital server as a single entity that performs both ECG reading and medical treatment. In addition, the server 200 is comprised of a plurality of entities, such as a hospital server that receives and manages ECG data from the client 100 and does not directly perform the reading, and a reading server that receives a reading request from the hospital server and directly performs the reading. It may be configured.

2 to 5 are conceptual diagrams showing a user interface screen according to an embodiment of the present disclosure.

A computing device according to an embodiment of the present disclosure may run an application and provide a user interface for an ECG reading service. Referring to FIG. 2, the computing device may provide a first user interface 310 for inputting the user's basic information. The first user interface 310 may include graphics for inputting the user's personal information, past medical history information, and electrocardiogram information. When a user performs an action such as clicking or double-clicking a graphic included in the first user interface 310, the computing device may input personal information, past medical history information, or electrocardiogram information based on the action performed for each graphic. .

For example, when the user performs an action of selecting the “Add ECG” graphic implemented in the first user interface 310, the computing device displays a second user interface 317 that sorts and displays the ECG data measured and stored by the user. ) can be provided. Then, when the user performs an operation of selecting one of several ECG data exposed in the second user interface 317, the computing device displays the selected ECG data in a graphic area that outputs an image implemented in the first user interface 310. It can be uploaded to (315) and printed. And, the computing device can manage the selected ECG data as a read candidate.

Meanwhile, based on the user input through the first user interface 310, even if the ECG information is not entered among the user's basic information, the computing device displays the ECG data generated as the ECG measurement is completed through the first user interface 310. You can upload to . When the computing device receives ECG data through communication with the ECG measurement device, the computing device uploads the ECG data to the graphic area 315 of the first user interface 310, which is activated as the application runs, without separate user input. can do.

Referring to FIG. 3, the computing device may provide a third user interface 320 that sorts and displays ECG data that are candidates for reading. That is, the third user interface 320 can be understood as an interface for managing ECG information input through the first user interface 310. At this time, the third user interface 320 may include a filtering graphic 321 for classifying and displaying ECG data according to reading results and an ECG graphic 323 for sorting and displaying ECG data input as reading candidates by date. .

For example, when a user performs an operation of selecting a filtering graphic 321, the computing device may provide an electrocardiogram graphic 323 matching the selected filter through the third user interface 320. The user may select the “read request” graphic 325a included in the ECG graphic 323 and input a read command for the corresponding ECG. The computing device may perform reading through communication with the reading device based on the input read command. At this time, the “read request” graphic 325a may change at least one of color, saturation, brightness, shape, or form depending on the read progress status. Once the read performance is complete, the computing device may automatically change the color of the “read request” graphic 325a as shown in FIG. 3 so that the user is aware of the status that the read has been completed. Meanwhile, the computing device may change the color of the “read request” graphic 325a for each stage in which the user can perceive the state, such as when reading is in progress, as well as when reading is completed as shown in FIG. 3. Additionally, the computing device may change at least one of saturation, brightness, shape, or form as well as color, as shown in FIG. 3 .

Meanwhile, without the user selecting the filtering graphic 321, the reading of the ECG data input as a reading candidate and the change to the “reading request” graphic 325a may be performed automatically. When ECG data is added through the first user interface 310 as shown in FIG. 2, the computing device can read the added ECG data through communication with the reading device without user input. At this time, the computing device may change at least one of the color, saturation, brightness, shape, or form of the “read request” graphic 325a depending on the reading progress status. That is, when reading is automatically performed without user input, the “reading request” graphic 325a may perform an information providing function to visualize the reading progress status to the user.

The computing device may control the third user interface 320 to allow the user to access the read results via a color-changed “read request” graphic 325b. Referring to FIG. 4, the user can view the read results by selecting the “read request” graphic 325b whose color has been changed. The computing device may provide a fourth user interface 330 that visualizes reading result information based on an input command to view the reading result. At this time, the reading result information may include tag information corresponding to a filter of ECG data and diagnostic information including the presence or absence of a disease, the possibility of developing a disease, or the possibility of worsening the disease.

Meanwhile, the computing device performs identity authentication for the user before providing the fourth user interface 330 that visualizes the read result information according to the operation of selecting the color-changed “read request” graphic 325b. A fifth user interface (not shown) may be provided. Since the reading result information is sensitive information, it is desirable to prohibit access by anyone other than the user in principle. Accordingly, when the user performs an operation of selecting the color-changed “read request” graphic 325b, the computing device may provide a fifth user interface for performing identity authentication. And, when the user completes identity authentication through the fifth user interface, the computing device may provide a fourth user interface 330 that visualizes the reading result information as shown in FIG. 4.

Referring to FIG. 5, the electrocardiogram graphic 323 may include a trigger graphic 327a that generates a command to calculate heart age. Heart age can be understood as an indicator of the health of the heart that can be determined through information related to heart activity, past medical history, and medication history. Heart age can statistically indicate the age group in which the heart is in good health based on cardiovascular information that can be confirmed through examination. Therefore, the user can intuitively determine how healthy the heart is through heart age.

For example, when the user performs an operation of selecting the trigger graphic 327a named “Calculate heart age” implemented in the third user interface 320, the computing device provides the necessary information for calculation of heart age. A sixth user interface 320 for input may be provided. Information required for calculating heart age may include at least one of blood pressure information, information on whether or not the patient is taking antihypertensive medication, information on whether or not the patient smokes, or information on whether or not the patient has diabetes. When the user inputs information such as blood pressure information, whether taking antihypertensive medication, smoking status, diabetes status, etc. through the sixth user interface 320, the computing device may calculate heart age based on the input information. At this time, the calculation of heart age may be performed by the computing device itself, or the computing device may be performed through communication with the reading device. Once the calculation of the age of the heart is complete, the computing device may modify a portion of the trigger graphic 327a to display the value regarding the heart age in the third user interface 320. As shown in FIG. 5 , the computing device may change some of the characters constituting the trigger graphic 327a into numbers representing values related to heart age and implement the reconstructed trigger graphic 327b in the third user interface 320.

Meanwhile, calculation of heart age for ECG data input as a read candidate may be performed automatically without the user selecting the trigger graphic 327a. When ECG data is added through the first user interface 310 as shown in FIG. 2, the computing device can calculate the heart age for the added ECG data by itself or through communication with a reading device without user input. . Once the calculation of heart age is complete, the computing device may modify a portion of the trigger graphic 327a to display a value related to heart age in the third user interface 320. That is, when the reading is automatically performed without user input, the trigger graphic 327a can perform an information providing function to visualize and show the value related to heart age to the user.

Figure 6 is a flowchart showing a method of providing an electrocardiogram reading service according to an embodiment of the present disclosure. The computing device described with reference to FIG. 6 may correspond to the client of FIG. 1 .

Referring to FIG. 6, the computing device according to an embodiment of the present disclosure may upload ECG data generated as ECG measurement is completed to the user interface (S100). At this time, the upload of the ECG data may be performed based on a first user input commanding selection of one of the stored ECG data as the ECG measurement is completed, and the ECG data is generated as the ECG measurement is completed in the ECG measurement device. If so, it may be performed automatically without a separate command. The first user input may be performed in a user interface for inputting basic information including the user's personal information, past medical history information, and electrocardiogram information. That is, basic information for ECG reading may be input through the first user input, and a reading candidate may be selected from ECG data stored in the computing device or an ECG measurement device linked to the computing device.

The computing device according to an embodiment of the present disclosure may change the first graphic indicating the reading progress status of the ECG data to be read among the ECG data uploaded to the user interface (S200). At this time, reading of the ECG data for changing the first graphic may be performed based on a second user input commanding reading of the ECG data uploaded to the user interface, and the ECG data is uploaded to the user interface through step S100. If so, it may be performed automatically without a separate command. The second user input may be performed through a first graphic implemented in the user interface that visualizes the ECG data uploaded through the first user input. When a second user input is received in the first graphic that generates an ECG reading command, the computing device may perform reading through communication with a reading device corresponding to the server of FIG. 1 . When reading is completed and the computing device receives the reading result data from the reading device, the computing device may change at least one of color, saturation, brightness, shape, or form of the first graphic. The computing device may visualize the first graphic so that the user can intuitively determine that the reading has been completed by changing at least one of the color, saturation, brightness, shape, or form of the first graphic according to the completion of the reading.

The computing device according to an embodiment of the present disclosure may display a value related to heart age for the ECG data that is to be read among the ECG data uploaded to the user interface on the user interface (S300). At this time, the calculation of the heart age may be performed based on a third user input that commands calculation of the heart age for the ECG data uploaded to the user interface, and when the ECG data is uploaded to the user interface through step S100, a separate command is sent. It can also be performed automatically. The third user input is an input for selecting a second graphic to trigger calculation of cardiac age for each ECG data uploaded on the user interface, and calculation of cardiac age in the user interface output according to the selection of the second graphic. It may include input to enter or select necessary information for. That is, the third user input may be performed through a second graphic implemented in a user interface that visualizes the ECG data uploaded through the first user input, and the user created to input the necessary information for calculation of cardiac age. This can be done through an interface. First, when a third user input is received in the second graphic that generates a heart age calculation command, the computing device may provide a user interface for receiving information necessary for calculating heart age. At this time, the information needed to calculate the heart age may include at least one of blood pressure information, information about whether or not the patient is taking high blood pressure medication, information about whether or not the patient smokes, or information about whether or not the patient has diabetes. When a third user input inputting the above-described required information is received through the user interface, the computing device may calculate heart age based on the required information. Additionally, the computing device may display the calculated heart age value on the user interface. Specifically, when the calculation of the heart age is completed based on the information necessary for the calculation of the heart age, the computing device converts some of the characters guiding the calculation of the heart age in the second graphic into numbers indicating the value regarding the calculated heart age. It can be reconstructed as

The computing device according to an embodiment of the present disclosure may display information about the reading result on the user interface based on a fourth user input commanding confirmation of the reading result of the ECG data to be read. At this time, the fourth user input may be performed through the first graphic implemented in the user interface that visualizes the ECG data uploaded through the first user input. Specifically, the fourth user input may be performed on the first graphic changed based on the second user input. When the ECG reading is completed through the second user input and at least one of the color, saturation, brightness, shape, or form of the first graphic is changed, and a fourth user input is received for the first graphic, the previously derived reading result A command for viewing can be created. The computing device may provide a user interface for visualizing the reading results based on a command for viewing the reading results.

7 is a block diagram of a computing device according to an embodiment of the present disclosure.

The computing device 1000 according to an embodiment of the present disclosure may be a hardware device or part of a hardware device that performs comprehensive processing and calculation of data, or may be a software-based computing environment connected to a communication network. For example, the computing device 1000 may be a server that performs intensive data processing functions and shares resources, or it may be a client that shares resources through interaction with the server. Since the above description is only an example related to the type of computing device 1000, the type of computing device 1000 may be configured in various ways within a range understandable to those skilled in the art based on the contents of the present disclosure.

Referring to FIG. 7, a computing device 1000 according to an embodiment of the present disclosure may include a processor 1100, a memory 1200, and a network unit 1300. there is. However, since FIG. 7 is only an example, the computing device 1000 may include other components for implementing a computing environment. Additionally, only some of the configurations disclosed above may be included in computing device 1000.

The processor 1100 according to an embodiment of the present disclosure may be understood as a structural unit including hardware and/or software for performing computing operations. For example, the processor 1100 may read a computer program to create and implement a user interface. Data processing for machine learning can be performed by reading computer programs. The processor 1100 can process computational processes such as processing input data for machine learning, extracting features for machine learning, and calculating errors based on backpropagation. The processor 1100 for performing such data processing includes a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), a tensor processing unit (TPU), and an on-demand processing unit. It may include a semiconductor (ASIC: application specific integrated circuit), or a field programmable gate array (FPGA: field programmable gate array). Since the above-described type of processor 1100 is only an example, the type of processor 1100 may be configured in various ways within a range understandable to those skilled in the art based on the contents of the present disclosure.

The memory 1200 according to an embodiment of the present disclosure may be understood as a structural unit including hardware and/or software for storing and managing data processed in the computing device 1000. That is, the memory 1200 can store any type of data generated or determined by the processor 1100 and any type of data received by the network unit 1300. For example, the memory 1200 may be a flash memory type, hard disk type, multimedia card micro type, card type memory, or random access memory (RAM). ), SRAM (static random access memory), ROM (read-only memory), EEPROM (electrically erasable programmable read-only memory), PROM (programmable read-only memory), magnetic memory , may include at least one type of storage medium among a magnetic disk and an optical disk. Additionally, the memory 1200 may include a database system that controls and manages data in a predetermined system. Since the type of memory 1200 described above is only an example, the type of memory 1200 may be configured in various ways within a range understandable to those skilled in the art based on the contents of the present disclosure.

The memory 1200 can manage data required for the processor 1100 to perform operations, combinations of data, and program codes executable on the processor 1100 by structuring and organizing them. For example, the memory 1200 may store data received through the network unit 1300, which will be described later. The memory 1200 includes program code that operates the neural network model to receive data and perform learning, program code that operates the neural network model to receive data and perform inference according to the purpose of use of the computing device 1000, and program code. As the is executed, the generated processing data, etc. can be saved.

The network unit 1300 according to an embodiment of the present disclosure may be understood as a structural unit that transmits and receives data through any type of known wired or wireless communication system. For example, the network unit 1300 may support local area network (LAN), wideband code division multiple access (WCDMA), long term evolution (LTE), and WiBro (wireless). broadband internet, 5th generation mobile communication (5G), ultra wide-band wireless communication, ZigBee, radio frequency (RF) communication, wireless LAN, wireless fidelity ), data transmission and reception can be performed using a wired or wireless communication system such as near field communication (NFC), or Bluetooth. Since the above-described communication systems are only examples, the wired and wireless communication systems for data transmission and reception of the network unit 1300 may be applied in various ways other than the above-described examples.

The network unit 1300 may receive data necessary for the processor 1100 to perform calculations through wired or wireless communication with any system or client. Additionally, the network unit 1300 may transmit data generated through calculations of the processor 1100 through wired or wireless communication with any system or any client. For example, the network unit 1300 may receive data through communication with a database, cloud server, client, etc. The network unit 1300 may transmit intermediate data, processed data, etc. derived from the calculation process of the processor 1100 through communication with the above-described database, server, client, etc.

The various embodiments of the present disclosure described above may be combined with additional embodiments and may be changed within the scope understandable to those skilled in the art in light of the above detailed description. The embodiments of the present disclosure should be understood in all respects as illustrative and not restrictive. For example, each component described as unitary may be implemented in a distributed manner, and similarly, components described as distributed may also be implemented in a combined form. Accordingly, all changes or modified forms derived from the meaning and scope of the claims of the present disclosure and their equivalent concepts should be construed as being included in the scope of the present disclosure.

Claims (14)

A method of providing an electrocardiogram reading service performed by a computing device including at least one processor, comprising:
Uploading the generated ECG data to a user interface as the ECG measurement is completed; and
changing a first graphic indicating a reading progress status of ECG data to be read among the ECG data uploaded to the user interface;
Including,
method.
According to claim 1,
The upload is,
As the electrocardiogram measurement is completed, it is performed based on a first user input commanding selection of one of the stored electrocardiogram data,
method.
According to claim 2,
The first user input is,
Performed on a user interface for input of basic information including the user's personal information, past medical history information, and electrocardiogram information,
method.
According to claim 1,
The first graphic is,
At least one of color, saturation, brightness, shape or form changes depending on the reading progress status of the ECG data that is the subject of reading,
method.
According to claim 4,
At least one of the color, saturation, brightness, shape or form of the first graphic,
When the reading of the ECG data to be read is completed according to a second user input commanding the reading of the ECG data uploaded to the user interface, it is changed.
method.
According to claim 1,
displaying, on the user interface, a value related to heart age for the ECG data to be read among the ECG data uploaded to the user interface;
Containing more,
method.
According to claim 6,
The value related to the heart age is,
Calculated based on a third user input commanding calculation of heart age for the electrocardiogram data to be read,
method.
According to claim 7,
The third user input is,
an input for selecting a second graphic for triggering calculation of cardiac age for each electrocardiogram data uploaded on the user interface; and
an input for entering or selecting necessary information for calculating heart age in a user interface output according to the selection of the second graphic;
containing
method.
According to claim 8,
The second graphic is,
When the calculation of the heart age is completed based on the information necessary for calculating the heart age, some of the characters that guide the calculation of the heart age are reconstructed into numbers indicating the calculated value related to the heart age.
method.
According to claim 8,
The necessary information for calculating the heart age is:
Containing at least one of blood pressure information, information about whether you are taking high blood pressure medication, information about whether you smoke, or information about whether you have diabetes,
method.
According to claim 1,
Displaying information about the reading result on the user interface based on a fourth user input commanding confirmation of the reading result of the ECG data that is the reading target;
Containing more,
method.
According to claim 11,
The fourth user input is,
It is performed on the first graphic changed based on the second user input,
method.
A computer program stored in a computer-readable storage medium, wherein the computer program, when executed on one or more processors, performs operations for providing an electrocardiogram reading service,
The above operations are:
An operation of uploading ECG data generated as ECG measurement is completed to a user interface; and
An operation of changing a first graphic indicating a reading progress status of ECG data to be read among the ECG data uploaded to the user interface;
Including,
computer program.
A computing device that provides electrocardiogram reading services, comprising:
A processor including at least one core;
a memory containing program codes executable on the processor; and
network unit;
Including,
The processor,
As the ECG measurement is completed, the generated ECG data is uploaded to the user interface,
Changing the first graphic indicating the reading progress status of the ECG data to be read among the ECG data uploaded to the user interface,
Device.