CN111127972A - Electrocardiogram learning system - Google Patents
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Abstract
The present application relates to an electrocardiogram learning system, which comprises: the basic teaching module, the guide image reading module and the self-testing module; the basic teaching module provides the electrocardiogram knowledge stored in the knowledge base for the user to independently learn; the guide image reading module provides a training electrocardiogram for a user to perform autonomous analysis, and when the user analysis is determined to be wrong, prompt information corresponding to the training electrocardiogram is obtained and returned to the user, wherein the prompt information is used for guiding the user to perform correct analysis on the training electrocardiogram; the self-testing module provides the electrocardiogram test questions in the test question bank for the user to test. The system can improve the efficiency.
Description
Technical Field
The application relates to the technical field of medical imaging, in particular to an electrocardiogram learning system.
Background
The electrocardiogram is a graph of the change of electrical activity generated by each cardiac cycle of the heart recorded from the body surface by an electrocardiograph, and is one of the most commonly used examinations in clinic. Specialized ecg analysts who analyze electrocardiograms typically require years of expertise training and practice. Most of the current methods still culture the electrocardiogram analysis doctors by the traditional teaching mode, for example, the experienced electrocardiogram professional analysis doctors to carry out teaching. However, offline teaching not only needs to consume a large amount of human resources but also is limited by time, resulting in low learning efficiency.
Disclosure of Invention
In view of the above, it is desirable to provide an electrocardiogram learning system capable of improving learning efficiency.
An electrocardiogram learning system, the system comprising: the basic teaching module, the guide image reading module and the self-testing module;
the basic teaching module provides the electrocardiogram knowledge stored in the knowledge base for the user to independently learn;
the guide image reading module provides a training electrocardiogram for a user to perform autonomous analysis, and when the user analysis is determined to be wrong, prompt information corresponding to the training electrocardiogram is obtained and returned to the user, wherein the prompt information is used for guiding the user to perform correct analysis on the training electrocardiogram;
the self-testing module provides the electrocardiogram test questions in the test question bank for the user to test.
In one embodiment, the electrocardiogram learning system further comprises an electrocardiogram communication module, and the electrocardiogram communication module issues the received problematic electrocardiogram and receives the answer information of the problematic electrocardiogram.
In one embodiment, the guidance map reading module is configured to:
receiving a training image reading instruction of a user;
acquiring an electrocardiogram set of a corresponding type according to the training image reading instruction, wherein the electrocardiogram set comprises a training electrocardiogram, and test questions and prompt information corresponding to the training electrocardiogram;
according to the training sequence of each training electrocardiogram in the electrocardiogram set, sequentially returning the training electrocardiogram and the corresponding test questions to the user;
and when the test question answer input by the user according to the test question is received and determined to be wrong, acquiring prompt information corresponding to the training electrocardiogram and returning the prompt information to the user, wherein the prompt information is used for guiding the user to analyze the training electrocardiogram again to obtain the correct test question answer.
In one embodiment, the guidance image reading module is further configured to determine a prompt area in the training electrocardiogram according to the prompt information when the obtained prompt is returned to the user;
and marking the prompt area.
In one embodiment, the labeling the prompt area includes: and performing frame selection or highlighting on the prompt area, wherein the highlighting comprises at least one of highlighting and flashing.
In one embodiment, the prompt message includes at least one of a text message and a voice message;
and the image reading guidance module is also used for synchronously playing the voice information when the prompt information is determined to comprise the voice information.
In one embodiment, the base tutorial module is configured to:
receiving a learning instruction;
and acquiring corresponding electrocardiogram knowledge from a knowledge base according to the learning instruction and returning the electrocardiogram knowledge to the user.
In one embodiment, the basic teaching module is further configured to add a learned flag to the electrocardiogram knowledge when an operation to turn off the electrocardiogram knowledge is captured.
In one embodiment, the basic teaching module is further configured to update the learning times of the electrocardiogram knowledge when it is determined that the learned marks exist in the electrocardiogram knowledge.
In one embodiment, the self-test module is configured to:
receiving a test instruction;
acquiring electrocardiogram test questions from the test question bank according to the test instruction and returning the electrocardiogram test questions to the user;
and when receiving a test answer input by the user according to the electrocardiogram test, calculating a test score according to the test answer, and adding the electrocardiogram test question corresponding to the wrong test answer to the wrong question book.
According to the electrocardiogram learning system, electrocardiogram knowledge in the knowledge base is provided for the user to learn autonomously through the basic teaching module, prompt information is provided through the guidance image reading module to guide the user to perform correct electrocardiogram analysis when the user analyzes an electrocardiogram error, and electrocardiogram test questions in the test question base are provided for the user to perform self test through the self test module, so that the user is assisted to finish training and learning of electrocardiogram analysis doctors autonomously, manpower resources do not need to be consumed, time is not limited, and learning efficiency is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of an electrocardiogram learning system;
FIG. 2 is a flow chart illustrating the use of the ECG learning system in one embodiment;
FIG. 3 is a flow diagram that illustrates the boot flow of the boot image module, according to one embodiment;
fig. 4 is an architecture diagram of an electrocardiogram learning system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As shown in fig. 1, a schematic structural diagram of an electrocardiogram learning system is provided. Referring to fig. 1, the electrocardiogram learning system includes a basic teaching module 10, a guidance image reading module 20, and a self-testing module 30.
The basic teaching module 10 provides the electrocardiogram knowledge stored in the knowledge base to the user for autonomous learning according to the learning instruction sent by the user, so that the user can autonomously learn the electrocardiogram related knowledge according to the electrocardiogram knowledge provided by the basic teaching module 10. The electrocardiographic knowledge included in the knowledge base includes, but is not limited to, the heart anatomy physiology, the heart electrophysiology basis, the principles of electrocardiographic generation, electrocardiographic vectors, electrocardiographic leads, normal electrocardiograms and common artifacts, and electrocardiographic examination conventions and reporting specifications, etc. The electrocardiogram knowledge can be stored in any form in a knowledge base, such as any one or more of a PDF (portable document Format) document, a word document, and a txt document.
The image reading guide module 20 provides the training electrocardiogram for training the user to read images to the user for autonomous analysis according to the training instructions of the user. And when the user is determined to have an error in the analysis of the training electrocardiogram, acquiring prompt information corresponding to the training electrocardiogram and returning the prompt information to the user. The user conducts correct analysis on the training electrocardiogram again according to the guidance of the prompt message. The presentation form of the prompt message comprises a text form and a voice form, the prompt confidence of the text form is the text message, and the prompt message of the voice form is the voice message. The text information can be the teaching voice recorded in advance by a professional electrocardiogram analysis doctor, and the analysis steps and the analysis emphasis are expressed by the text.
The prompt message includes at least one of a text message and a voice confidence. When the prompt message comprises voice information in a voice form, and when the image reading module is guided to return the acquired prompt message to the user, the voice information in the prompt message is synchronously played. Or after the prompt message is returned, the voice message can be played according to the operation of the user as required.
The self-testing module 30 provides the user with the electrocardiogram test questions in the test question bank for testing according to the user's test instructions. The user can determine the degree of learning of the electrocardiogram based on the electrocardiogram test questions provided from the self-test module 30.
According to the electrocardiogram learning system, electrocardiogram knowledge in the knowledge base is provided for the user to learn autonomously through the basic teaching module, prompt information is provided through the guidance image reading module to guide the user to perform correct electrocardiogram analysis when the user analyzes an electrocardiogram error, and electrocardiogram test questions in the test question base are provided for the user to perform self test through the self test module, so that the user is assisted to finish training and learning of electrocardiogram analysis doctors autonomously, manpower resources do not need to be consumed, time is not limited, and learning efficiency is improved.
In one embodiment, referring to fig. 1, the ecg learning system further includes an ecg communication module 40. The electrocardio communication module issues the received difficult electrocardiogram and the corresponding question information, and the difficult electrocardiogram is uploaded by a user. Meanwhile, the answer information of other users to the problematic electrocardiogram is received. In this embodiment, the communication of the user is enhanced by the electrocardiographic communication module, so that the image reading analysis capability of the user is further improved.
As shown in fig. 2, a flow chart of the use of the electrocardiogram learning system is provided. Referring to fig. 2, a user first performs user registration in an electrocardiogram learning system. And after the user registration is finished, logging in the electrocardiogram learning system according to the registered account information. When the logging is finished, the basic teaching module 10, the image guide reading module 20, the self-testing module 30 and the electrocardiogram communication module 40 in the electrocardiogram learning system can be selected as required to carry out electrocardiogram learning.
In one embodiment, the map reading guiding module 20 is configured to guide a user to perform a map reading analysis on a electrocardiogram, and specifically includes: receiving a training image reading instruction of a user; acquiring an electrocardiogram set of a corresponding type according to the training image reading instruction, wherein the electrocardiogram set comprises a training electrocardiogram, test questions corresponding to the training electrocardiogram and prompt information; according to the training sequence of each training electrocardiogram in the electrocardiogram set, sequentially returning the training electrocardiogram and the corresponding test questions to the user; and when the test question answer input by the user according to the test question is received and determined to be wrong, obtaining prompt information corresponding to the training electrocardiogram and returning the prompt information to the user, wherein the prompt information is used for guiding the user to analyze the training electrocardiogram again to obtain the correct test question answer.
The electrocardiogram set is a system which is configured in advance for learning the electrocardiogram, and comprises at least one training electrocardiogram and test questions and prompt information corresponding to the training electrocardiogram. Types of the electrocardiograph set include, but are not limited to, various types of sinus, atrial, ventricular, borderline arrhythmia and conduction block, and some common or special electrocardiograph phenomena (such as differential conduction, dragging phenomenon, hooking phenomenon, etc.) in clinic. The training sequence may be a pre-configured sequence or may be the same as the training electrocardiogram in the set. The test questions can be understood as analysis questions configured according to the training electrocardiogram in advance, and a user can determine the analysis direction of the training electrocardiogram according to the test questions.
Specifically, the user may issue a corresponding instruction through an interactive interface provided by the electrocardiogram system. In this embodiment, a user enters the image reading guidance module of the electrocardiogram system through the interactive interface, and then selects the electrocardiogram type to be subjected to image reading training on the interface of the image reading guidance module. When the image reading module is guided to receive clicking operation of a user, the electrocardiogram type selected by the user is determined, and a training image reading instruction of the electrocardiogram type is synchronously generated. Because the training image reading instruction is generated according to the electrocardiogram type selected by the user, the image reading module can directly acquire the electrocardiogram set of the corresponding type according to the generated training image reading instruction. And after acquiring the electrocardiogram sets of the corresponding types according to the training image reading instruction, sequentially returning the training electrocardiograms and the corresponding test questions to the user according to the training sequence of the training electrocardiograms in the electrocardiogram sets. For example, the training electrocardiogram 1 and the corresponding test questions are returned to the user, and after the user completes the analysis of the training electrocardiogram according to the test questions, the training electrocardiogram 2 and the corresponding test questions are returned to the user until all the training electrocardiograms in the electrocardiogram set are returned or the user's instruction of reading is received. And after the training electrocardiogram and the corresponding test questions are returned to the user, receiving the answer of the test questions selected or input by the user through image reading analysis of the training electrocardiogram according to the test questions. And comparing the correct answer preset by the training electrocardiogram with the answer of the test question, and when the answer of the test question is determined to be wrong, guiding the learning module to determine the analysis error of the user. Then, the image reading module is guided to acquire prompt information of the training electrocardiogram with the analysis error, and the prompt information of the training electrocardiogram with the analysis error is returned to the user. And guiding the user to carry out correct analysis on the training electrocardiogram again through the returned prompt information to obtain correct answer to the test question. The reminder information may be any information used to guide the user through electrocardiographic analysis. For example, the prompt information may include "please analyze whether the normal sinus rhythm is present", "please measure the values of each wave band and the angle of the electrocardiograph axis", etc., and may be configured according to the functional requirements of the electrocardiograph learning system and the condition of each training electrocardiogram.
In one embodiment, the guidance image reading module 40 is further configured to determine a prompt area in the training electrocardiogram according to the acquired prompt information when the acquired prompt information is returned to the user; and marking the prompt area.
Specifically, since the training electrocardiogram is guided by the prompt message to train the user's ability to analyze the electrocardiogram, there is some abnormality in the training electrocardiogram used for training. Therefore, when the prompt information is returned, the abnormal area corresponding to the training electrocardiogram is determined according to the prompt information, and the abnormal area is the prompt area needing prompting. Then, the prompt region of the training electrocardiogram is labeled. And marking the prompt area, wherein the marking of the prompt area comprises the step of performing frame selection or highlighting on the prompt area. The shape of the box can be any one, such as square, rectangle, triangle, etc. And highlighting includes at least one of highlighting, flashing, blacking, underlining, and the like. Highlighting may be understood as altering the display color and display brightness of the cueing area. Abnormalities in the electrocardiogram include, but are not limited to, any one or more of P-wave abnormalities, Q-wave abnormalities, QRS complex abnormalities, ST-segment abnormalities, T-wave abnormalities, QT interval abnormalities, and U-wave abnormalities.
In the embodiment, the user is guided to analyze the reading of the training electrocardiogram by the prompting information, and the abnormal region of the training electrocardiogram is labeled and prompted at the same time, so that the user can be accurately prompted to analyze the training electrocardiogram and label and guide the abnormal region of the training electrocardiogram required to be analyzed, and the guiding capability of the system is enhanced.
In one embodiment, as shown in fig. 3, a flow diagram of a boot flow of a boot image reading module is provided. The boot flow is described in detail with reference to the flow diagram of the boot flow of fig. 3.
Referring to fig. 3, a training instruction including a user selected type of training electrocardiogram is received. The training electrocardiogram type is selected in an interactive interface of a guide image reading module after a user enters the guide image reading module of the electrocardiogram learning system. And the image reading guide module acquires a corresponding electrocardiogram set according to the training electrocardiogram type selected by the user in the training instruction. And returning and displaying the training electrocardiogram and the corresponding test questions in the electrocardiogram set according to the training sequence, and simultaneously displaying the clinical information of the patient corresponding to the training electrocardiogram.
Then, the image reading module is guided to receive answers of the test questions selected or input by the user. The answer of the test questions is obtained by reading and analyzing the training electrocardiogram based on the test questions and the provided training electrocardiogram and patient clinical information after the user obtains the training electrocardiogram and the test questions and the patient clinical information. And guiding the image reading module to receive the answer of the test question after the user selects the answer of the test question or inputs the answer of the test question. It should be understood that the answer pair of the selected test questions is directed to the test questions having the answers to the selectable test questions, and one of the answers is selected or clicked as the answer to the selected test question by the user. And the input answer of the test question refers to the test question without the answer of the selectable test question. The answers of the selectable test questions are configured together when the test questions of the training electrocardiogram are configured.
And when the answer of the test question selected or input by the user is judged to be wrong according to the preset correct answer, acquiring prompt information of the training electrocardiogram. And determining a prompt area of the training electrocardiogram according to the prompt information, labeling the prompt area in the training electrocardiogram, and returning and displaying the prompt information to the user. And returning and displaying the next training electrocardiogram to the user when the answer of the test question selected or input by the user is judged to be correct according to the preset correct answer. Wherein, after the answer of the test question is determined to be correct and before the next training electrocardiogram is displayed to the user, the option of whether to check the prompt information can be returned to the user. When an instruction that the user selects to check the prompt message is received, the process of marking the prompt region and returning the prompt message can still be entered. And after the prompt information is displayed, if a next instruction sent by the user is received, displaying a next training electrocardiogram in the electrocardiogram set to the user according to the training sequence.
In addition, the annotation can mark the prompting area of the electrocardiogram, and can also mark any other information, for example, highlight the important part of the clinical information of the patient, where the important part can be the basic information, the application form, the medical history, the physical examination information, and the like in the clinical information of the patient.
In one embodiment, the basic teaching module 10 provides the ecg knowledge in the knowledge base to the user for self-learning specifically includes: receiving a learning instruction; and acquiring corresponding electrocardiogram knowledge from the knowledge base according to the learning instruction and returning the electrocardiogram knowledge to the user.
Specifically, a user enters a basic teaching module of the electrocardiogram system through an interactive interface, and then selects electrocardiogram knowledge needing self-learning from the interactive interface of the basic teaching module. The electrocardiogram knowledge base includes, but is not limited to, the heart anatomy physiology, the heart electrophysiology basis, the principles of electrocardiogram occurrence, electrocardiogram vectors, electrocardiogram leads, normal electrocardiograms and common artifacts, and electrocardiographic examination conventions and reporting specifications.
And when the basic teaching module receives the clicking operation of the user, determining the electrocardiogram knowledge selected by the user and synchronously generating a learning instruction of the electrocardiogram knowledge. Because the learning instruction is generated according to the electrocardiogram knowledge selected by the user, the basic teaching module can directly acquire the corresponding electrocardiogram knowledge from the knowledge base according to the generated learning instruction and return to display to the user. It should be understood that the knowledge base may be a knowledge base of a terminal where the electrocardiogram learning system is located, and the knowledge base of the terminal is installed together when a user installs the electrocardiogram learning system at the terminal. Or from a knowledge base in a server providing services to the ecg learning system. And when the knowledge in the knowledge base of the server is updated, the knowledge base of the terminal and the knowledge base of the server are updated synchronously.
In one embodiment, the basic teaching module 10 is further configured to add a learned flag to the electrocardiographic knowledge when the operation of turning off the electrocardiographic knowledge is captured.
Specifically, after the basic teaching module returns electrocardiogram knowledge to the user for display, the user can learn according to the displayed electrocardiogram knowledge. When the user finishes learning, the user usually operates a selection close button on the interactive interface to close the learned electrocardiogram knowledge. And when the basic teaching module captures the closing operation of the user, adding a learned mark for the closed electrocardiogram knowledge, and recording the learning progress of each electrocardiogram knowledge through the learned mark. The learned indicium may be in any form, such as a unique number, identifier, or the like.
In one embodiment, the basic teaching module 10 is further configured to update the learning count of the electrocardiogram knowledge when it is determined that the learned flag exists.
Specifically, when the basic teaching module executes addition of the learned mark according to the captured closing operation, the fact that the learned mark exists in the electrocardiogram knowledge is determined, and therefore the learning times of the electrocardiogram knowledge can be obtained and updated. Updating the number of learning may be understood as incrementing the number of learning by 1, e.g., incrementing 2 to 3 originally, incrementing 3 originally to 4, etc. It should be understood that when the basic teaching module adds the learned label to the electrocardiogram learning knowledge, a label of learning times 1 is established for the electrocardiogram learning knowledge. That is, there must be a number of updates to the knowledge of the electrocardiogram for which the learned marker exists. The learned mark and the learning times can be displayed in association with the corresponding electrocardiogram knowledge, and when the user selects the electrocardiogram knowledge to learn, whether the electrocardiogram knowledge is learned or not and the learning times can be directly checked.
In one embodiment, the self-test module 30 provides the ecg test questions in the test question bank to the user for testing, which specifically includes: receiving a test instruction; acquiring electrocardiogram test questions from a test question bank according to the test instructions and returning the electrocardiogram test questions to the user; when receiving the test answers input by the user according to the electrocardiogram test, calculating the test scores according to the test answers, and adding the electrocardiogram test questions corresponding to the wrong test answers to the wrong question book.
The user of the test question bank stores the electrocardiogram test questions, and the electrocardiogram test questions of the test question bank are configured in advance. Each ECG test question includes at least one test question, and each test question has a correct test answer.
Specifically, a user enters a self-testing module of the electrocardiogram system through an interactive interface, and then selects electrocardiogram test questions to be tested from the interactive interface of the self-testing module. When the self-testing module receives the clicking operation of the user, the electrocardiogram testing questions selected by the user are determined and the testing instructions corresponding to the electrocardiogram testing questions are synchronously generated. Because the test instruction is generated according to the electrocardiogram test questions selected by the user, the self-test module can directly obtain the corresponding electrocardiogram test questions from the test question bank according to the generated test instruction and return to the user for display. When the user receives the electrocardiogram test questions returned by the self-test module, the user can perform corresponding problem solving in the electrocardiogram test questions, and inputs or selects a corresponding test answer for each test question.
When the user selects to submit the test answer, the self-test module can receive the test answer input or selected by the user. Then, the self-testing module obtains a preset correct testing answer, and compares the testing answer input or selected by the user with the preset correct testing answer. And determining a correct test answer through comparison, and performing score calculation according to the score of the test question corresponding to the correct test answer to obtain a final test score. Wherein, the value of each test question is allocated when the test questions are allocated. When the self-testing module determines to obtain the wrong testing answer, the testing question corresponding to the wrong testing answer is extracted. The extracted wrong test questions are stored in the wrong test question book, and the wrong test question book can be understood as a document for storing the wrong questions. The form of the document can be any one or more of PDF, word and txt. When the user needs to perform self-test again, the error problem book can be directly selected through the test instruction to perform self-test, so that the user can conveniently perform independent test on the error problem, and the learning efficiency is improved.
In addition, after the test questions with wrong test answers are determined, the knowledge points of the test questions with wrong test answers can be obtained. The knowledge points are configured in advance based on different test questions and can be directly obtained. Then, the knowledge points of the wrong test questions are returned and displayed to the user. And counting according to the type of the knowledge points of the wrong question, generating learning suggestion information according to the counting result and returning the learning suggestion information to the user. For example, when a certain type of knowledge point error is higher than a threshold value, learning suggestion information for complementing the knowledge point may be generated.
In one embodiment, each test question in the test question library is also pre-configured with corresponding prompt information, and when the user selects to analyze the wrong question, the user automatically enters the guidance image reading module 30 from the self-test module. Then, the guidance image reading module 30 obtains the prompt information corresponding to the test questions and guides the prompt information, so as to assist the user in analyzing the reasons of wrong questions. The guide reading of the test subject is the same as the guide analysis principle of the training electrocardiogram, and the description is omitted here.
In one embodiment, as shown in fig. 4, an architecture diagram of an electrocardiogram learning system is provided. Referring to fig. 4, the architecture diagram of the ecg learning system is in the form of a C/S (Client-Server) architecture, and includes a Client and a Server. The client may be installed in a terminal device 401, and the terminal device 401 includes, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server can be deployed in the server 402, and the server 402 can be implemented by a stand-alone server or a server cluster composed of a plurality of servers. The terminal device 401 and the server 402 communicate via a network.
Specifically, the client may be, but is not limited to, a Qt framework development, an exe (executable) program of a windows platform, and is compatible with the offline mode. The server can be, but is not limited to, a SpringBoot technology development. The client comprises a basic teaching module, a guide image reading module, a self-testing module 30 and an electrocardio communication module. The server side comprises a database and an electrocardio communication module, and the database is used for storing data such as a knowledge base and a test question base. When the knowledge base or the test question base in the database of the server is updated, the server 402 passes through the network and the terminal device 401, and the updated knowledge base and the updated test question base in the server are synchronously updated to the client, so that the client is ensured to have the latest knowledge base and the updated test question base. The electrocardio communication module of the server is used for receiving communication information uploaded by the electrocardio communication module of the client, such as difficult electrocardiograms and the like. And then, the received communication information is issued through a network, so that all the clients can communicate.
In one embodiment, a terminal device 401 is provided, the internal structure diagram comprising a processor, a memory, a network interface, a display screen and an input device connected via a system bus. Wherein the processor of the terminal device 401 is adapted to provide computing and control capabilities. The memory of the terminal device 401 includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and an electrocardiogram learning system. The internal memory provides an environment for the operating system and the electrocardiogram learning system in the nonvolatile storage medium to run. The network interface of the terminal apparatus 401 is used for communicating with an external terminal through a network connection. The display screen of the terminal device 401 may be a liquid crystal display screen or an electronic ink display screen, and the input device of the terminal device 401 may be a touch layer covered on the display screen, a key, a trackball or a touch pad arranged on a housing of the terminal device 401, or an external keyboard, a touch pad or a mouse.
In one embodiment, a server 402 is provided whose internal structural diagram includes a processor, memory, network interface, and database connected via a system bus. Wherein the processor of the server 402 is configured to provide computing and control capabilities. The memory of the server 402 includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, an electrocardiogram learning system, and a database. The internal memory provides an environment for the operation of the operating system and the electrocardiogram learning system in the nonvolatile storage medium. The database of the server 402 is used for storing data such as a knowledge base, a test question base and the like. The network interface of the server 402 is used for communication with an external terminal through a network connection.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An electrocardiogram learning system, the system comprising: the basic teaching module, the guide image reading module and the self-testing module;
the basic teaching module provides the electrocardiogram knowledge stored in the knowledge base for the user to independently learn;
the guide image reading module provides a training electrocardiogram for a user to perform autonomous analysis, and when the user analysis is determined to be wrong, prompt information corresponding to the training electrocardiogram is obtained and returned to the user, wherein the prompt information is used for guiding the user to perform correct analysis on the training electrocardiogram;
the self-testing module provides the electrocardiogram test questions in the test question bank for the user to test.
2. The system of claim 1, wherein the electrocardiogram learning system further comprises an electrocardiogram communication module, and the electrocardiogram communication module issues the received problematic electrocardiogram and receives the answer information of the problematic electrocardiogram.
3. The system of claim 1, wherein the guided graph reading module is configured to:
receiving a training image reading instruction of a user;
acquiring an electrocardiogram set of a corresponding type according to the training image reading instruction, wherein the electrocardiogram set comprises a training electrocardiogram, and test questions and prompt information corresponding to the training electrocardiogram;
according to the training sequence of each training electrocardiogram in the electrocardiogram set, sequentially returning the training electrocardiogram and the corresponding test questions to the user;
and when the test question answer input by the user according to the test question is received and determined to be wrong, acquiring prompt information corresponding to the training electrocardiogram and returning the prompt information to the user, wherein the prompt information is used for guiding the user to analyze the training electrocardiogram again to obtain the correct test question answer.
4. The system according to claim 1 or 3, wherein the image reading guidance module is further configured to determine a prompt area in the training electrocardiogram according to the acquired prompt information when the acquired prompt information is returned to the user;
and marking the prompt area.
5. The system of claim 4, wherein the labeling the hint region comprises: and performing frame selection or highlighting on the prompt area, wherein the highlighting comprises at least one of highlighting and flashing.
6. The system according to any one of claims 1-4, wherein the prompt message includes at least one of a text message and a voice message;
and the image reading guidance module is also used for synchronously playing the voice information when the prompt information is determined to comprise the voice information.
7. The system of claim 1, wherein the base teaching module is configured to:
receiving a learning instruction;
and acquiring corresponding electrocardiogram knowledge from a knowledge base according to the learning instruction and returning the electrocardiogram knowledge to the user.
8. The system of claim 1, wherein the basic teaching module is further configured to add a learned flag to the electrocardiographic knowledge when an operation to turn off the electrocardiographic knowledge is captured.
9. The system of claim 8, wherein the basic teaching module is further configured to update the number of studies of the electrocardiographic knowledge when it is determined that the learned flag exists.
10. The system of claim 1, wherein the self-test module is configured to:
receiving a test instruction;
acquiring electrocardiogram test questions from the test question bank according to the test instruction and returning the electrocardiogram test questions to the user;
and when receiving a test answer input by the user according to the electrocardiogram test, calculating a test score according to the test answer, and adding the electrocardiogram test question corresponding to the wrong test answer to the wrong question book.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113012544A (en) * | 2021-02-01 | 2021-06-22 | 北京易优联科技有限公司 | Pulmonary function waveform simulation test method and device, computer equipment and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102280049A (en) * | 2011-08-31 | 2011-12-14 | 中国广东核电集团有限公司 | Device and method for training procedure utilization habit of million kilowatt nuclear power plant |
| CN102332217A (en) * | 2011-10-13 | 2012-01-25 | 纳龙（苏州）信息技术有限公司 | Electrocardiogram teaching system |
| CN102479446A (en) * | 2010-11-25 | 2012-05-30 | 苏州卫生职业技术学院 | Clinical nursing training and examination system and training and examination method thereof |
| CN105139312A (en) * | 2015-08-14 | 2015-12-09 | 太仓苏易信息科技有限公司 | Online network learning system |
| CN106530888A (en) * | 2017-01-03 | 2017-03-22 | 广东小天才科技有限公司 | Experiment simulation method and device |
| CN106846962A (en) * | 2017-03-20 | 2017-06-13 | 安徽七天教育科技有限公司 | A kind of wrong answer list generation method based on the wrong topic of student and accurate recommendation |
| CN107610552A (en) * | 2017-09-04 | 2018-01-19 | 云南电网有限责任公司昆明供电局 | A kind of dynamic drawing demo system of interactive simulation operations |
| CN107731038A (en) * | 2017-11-17 | 2018-02-23 | 浙江建设职业技术学院 | A kind of interactive game tutoring system and method |
| CN109118402A (en) * | 2018-08-31 | 2019-01-01 | 中国人民解放军军事科学院评估论证研究中心 | A kind of army's cadre's on-line study examination assessment system and method |
| US10249214B1 (en) * | 2015-06-17 | 2019-04-02 | Vlad Joseph Novotny | Personal wellness monitoring system |
| CN110459088A (en) * | 2019-08-26 | 2019-11-15 | 郑州铁路职业技术学院 | A kind of standard EMU driver simulation and training/driving simulation method |
-
2019
- 2019-12-30 CN CN201911398620.4A patent/CN111127972A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102479446A (en) * | 2010-11-25 | 2012-05-30 | 苏州卫生职业技术学院 | Clinical nursing training and examination system and training and examination method thereof |
| CN102280049A (en) * | 2011-08-31 | 2011-12-14 | 中国广东核电集团有限公司 | Device and method for training procedure utilization habit of million kilowatt nuclear power plant |
| CN102332217A (en) * | 2011-10-13 | 2012-01-25 | 纳龙（苏州）信息技术有限公司 | Electrocardiogram teaching system |
| US10249214B1 (en) * | 2015-06-17 | 2019-04-02 | Vlad Joseph Novotny | Personal wellness monitoring system |
| CN105139312A (en) * | 2015-08-14 | 2015-12-09 | 太仓苏易信息科技有限公司 | Online network learning system |
| CN106530888A (en) * | 2017-01-03 | 2017-03-22 | 广东小天才科技有限公司 | Experiment simulation method and device |
| CN106846962A (en) * | 2017-03-20 | 2017-06-13 | 安徽七天教育科技有限公司 | A kind of wrong answer list generation method based on the wrong topic of student and accurate recommendation |
| CN107610552A (en) * | 2017-09-04 | 2018-01-19 | 云南电网有限责任公司昆明供电局 | A kind of dynamic drawing demo system of interactive simulation operations |
| CN107731038A (en) * | 2017-11-17 | 2018-02-23 | 浙江建设职业技术学院 | A kind of interactive game tutoring system and method |
| CN109118402A (en) * | 2018-08-31 | 2019-01-01 | 中国人民解放军军事科学院评估论证研究中心 | A kind of army's cadre's on-line study examination assessment system and method |
| CN110459088A (en) * | 2019-08-26 | 2019-11-15 | 郑州铁路职业技术学院 | A kind of standard EMU driver simulation and training/driving simulation method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113012544A (en) * | 2021-02-01 | 2021-06-22 | 北京易优联科技有限公司 | Pulmonary function waveform simulation test method and device, computer equipment and storage medium |
| CN113012544B (en) * | 2021-02-01 | 2023-07-21 | 北京易优联科技有限公司 | Lung function waveform simulation test method, device, computer equipment and storage medium |
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