CN108735271A - Electrocardio detection data management system - Google Patents
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- CN108735271A CN108735271A CN201710250252.3A CN201710250252A CN108735271A CN 108735271 A CN108735271 A CN 108735271A CN 201710250252 A CN201710250252 A CN 201710250252A CN 108735271 A CN108735271 A CN 108735271A
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- 238000001514 detection method Methods 0.000 title claims abstract description 107
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- 230000005540 biological transmission Effects 0.000 description 5
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- 208000024172 Cardiovascular disease Diseases 0.000 description 2
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Abstract
The application discloses an electrocardiogram detection data management system, which uploads electrocardiogram detection data and associated structured data to a server group for storage through a client, and the storage capacity of a database is far higher than that of an SD card and most external storage equipment, so that the storage efficiency and the calling convenience of the data are ensured; in addition, the server group adopts an asynchronous uploading strategy, adds the received data uploading request into the task queue, and sends a permission instruction to the client according to the sequence of the task queue, so that the situation that excessive clients upload the electrocardiograph detection data at the same time to cause excessive load on the server group is avoided.
Description
Technical Field
The application relates to the technical field of data storage, in particular to an electrocardiogram detection data management system.
Background
The electrocardio detection data is important data reflecting the heart health of a human body, the electrocardio examination is also an important method frequently used for clinical cardiovascular disease diagnosis, and the storage and management of the electrocardio detection data generated by the electrocardio examination are of great significance to users.
The mobile electrocardio detection device stores electrocardio detection data generated after electrocardio examination and structured data thereof in an SD card, and because the SD card has limited storage capacity, an external storage device is required to be added to realize the storage of more data. On one hand, however, most external storage devices have limited storage capacity, and cannot fundamentally solve the problem of data storage; on the other hand, the addition of an external storage device makes data retrieval difficult.
Disclosure of Invention
In order to solve the technical problems, the invention provides an electrocardiograph detection data management system to achieve the purposes of increasing the storage efficiency and the calling convenience of electrocardiograph detection data and associated structured data, and providing convenience for inquiry calling and research reference of clinical electrocardiograph detection data.
In order to achieve the technical purpose, the embodiment of the invention provides the following technical scheme:
an electrocardiographic detection data management system comprising: the system comprises a server group and a plurality of clients, wherein the server group comprises a first database and a second database; wherein,
the client is used for sending a data uploading request to the server group and uploading the electrocardio detection data and the structured data associated with the electrocardio detection data after receiving the permission instruction;
the server group is used for adding the received data uploading request into a task queue, sending a permission instruction to the client according to the sequence of the task queue, receiving the electrocardio detection data and the structured data, storing the structured data in the first database, and storing the electrocardio detection data in the second database.
Preferably, the server group adds the received data upload request to a task queue, and is specifically configured to receive the data upload request, and determine whether to receive the electrocardiographic detection data and the structured data according to the data upload request; and if so, adding the data uploading request into a task queue according to the priority. Preferably, the first database is a MySQL database.
Preferably, the second database is a MongoDB database.
Preferably, the server group is further configured to synchronize the electrocardiographic detection data stored in the second database to the client.
Preferably, the client is further configured to send a synchronization request to the server group;
and the server group synchronizes the electrocardio detection data stored in the second database to the client specifically for determining target electrocardio detection data according to the synchronization request after receiving the synchronization request and synchronizing the target electrocardio detection data to the client sending the synchronization request.
Preferably, the server group synchronizes the electrocardiographic detection data stored in the second database to the client specifically for analyzing the electrocardiographic detection data stored in the second database to obtain abnormal data, and synchronizes the electrocardiographic detection data within a preset time length with the abnormal data as a center to the client.
Preferably, the server group synchronizes the electrocardiographic detection data stored in the second database to the client, specifically, the server group synchronizes the electrocardiographic detection data stored in the second database to the client in an idle period of the server group.
Preferably, the server group is connected with the plurality of clients through a Web Service interface.
According to the technical scheme, the electrocardio detection data management system uploads the electrocardio detection data and the associated structural data to the server group for storage through the client, and the storage capacity of the database is far higher than that of an SD card and most of external storage equipment, so that the storage efficiency and the calling convenience of the data are ensured; in addition, the server group adopts an asynchronous uploading strategy, adds the received data uploading request into the task queue, and sends a permission instruction to the client according to the sequence of the task queue, so that the situation that excessive clients upload the electrocardiograph detection data at the same time to cause excessive load on the server group is avoided.
Furthermore, the server group selects different databases to store structured data and unstructured data in the electrocardiograph detection data, so that the advantages of the different databases are favorably exerted.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an electrocardiographic detection data management system according to an embodiment of the present application;
FIG. 2 is a schematic processing flow diagram of an electrocardiographic detection data management system according to an embodiment of the present application;
fig. 3 is a schematic flowchart illustrating a process in which a server group adds a received data upload request to a task queue and sends a permission instruction to a client according to an order of the task queue according to an embodiment of the present application;
FIG. 4 is a schematic processing flow diagram of an electrocardiographic detection data management system according to another embodiment of the present application;
FIG. 5 is a schematic processing flow diagram of a system for managing electrocardiographic measurement data according to another embodiment of the present application;
FIG. 6 is a schematic processing flow diagram of an electrocardiographic detection data management system according to yet another embodiment of the present application;
fig. 7 is a schematic diagram of a framework of an electrocardiographic detection data management system according to another embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the present application provides an electrocardiographic detection data management system, as shown in fig. 1 and fig. 2, including: a server group 200 and a plurality of clients 100, wherein the server group 200 comprises a first database and a second database; wherein,
the client 100 is configured to send a data upload request to the server group 200, and upload electrocardiographic detection data and structured data associated with the electrocardiographic detection data after receiving a permission instruction;
the server group 200 is configured to add the received data upload request to a task queue, send a permission instruction to the client 100 according to the order of the task queue, receive the electrocardiographic detection data and the structured data, store the structured data in the first database, and store the electrocardiographic detection data in the second database.
FIG. 1 is a schematic structural diagram of the electrocardiographic detection data management system; FIG. 2 is a schematic view of a communication flow of the electrocardiograph detection data management system;
the data generated by the mobile electrocardiographic detection device has the characteristics of large data volume, detachability and periodicity, and the generated data is divided into electrocardiographic detection data and structured data related to the electrocardiographic detection data according to the characteristics.
In this embodiment, the server group 200 is a server cluster formed by at least one server, so as to improve the processing performance of the system on the electrocardiographic detection data.
The electrocardio detection data management system uploads the electrocardio detection data and the associated structured data to the server group 200 for storage through the client 100, so that the storage efficiency and calling convenience of the data are ensured; in addition, the server group adopts an asynchronous uploading strategy, adds the received data uploading request into the task queue, and sends a permission instruction to the client according to the sequence of the task queue, so that the situation that excessive clients upload the electrocardiograph detection data at the same time to cause excessive load on the server group is avoided.
Further, the server group 200 selects different databases to store the electrocardiographic detection data and the structured data associated with the electrocardiographic detection data, which is beneficial to exerting the advantages of the different databases.
On the basis of the above embodiment, in an embodiment of the present application, the server group 200 adds the received data upload request to a task queue, specifically, for receiving the data upload request, and determining whether to receive the electrocardiographic detection data and the structured data according to the data upload request; and if so, adding the data uploading request into a task queue according to the priority.
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating a process of adding a received data upload request to a task queue by the server group 200, including the following steps:
s101, receiving a data uploading request;
s102, judging whether the electrocardio detection data and the structured data are received or not according to the data uploading request; if yes, go to step S103;
s103, adding the data uploading request into a task queue according to the priority.
It should be noted that the priority of the tasks in the task queue may be determined according to the transmission speed of the client 100, the number of times of data transmission failure of the client 100, and the size of the electrocardiographic detection data applied and uploaded by the client 100; for example, the priority of the tasks may be determined according to the transmission speed of the clients 100, when some clients 100 simultaneously request to upload the electrocardiographic detection data, the tasks corresponding to the clients 100 are sorted according to the sequence from high to low of the transmission speed of the clients 100, the electrocardiographic data is preferentially uploaded to the clients 100 with higher transmission speed, and the overall waiting time of the clients 100 is reduced; meanwhile, if there is a failure to request to upload electrocardiographic detection data before one client 100 exists in the clients 100, the priority of the task corresponding to the client 100 is correspondingly improved, and the total waiting time of the client 100 is reduced; in addition, the priority of the task may be determined according to the size of the electrocardiographic detection data that the client 100 applies for uploading, for example, uploading of smaller data is prioritized. The specific determination process of the task priority is not limited in the present application, and is specifically determined according to the actual situation.
In an embodiment of the present application, the server group 200 may put the task queue through a Redis memory database, and complete a process of asynchronously uploading electrocardiographic detection data.
On the basis of the above embodiment, in a preferred embodiment of the present application, referring to fig. 4, the server group 200 is further configured to synchronize the electrocardiographic detection data stored in the second database to the client 100.
In the actual application process, a situation that a doctor needs to call electrocardiographic detection data may be encountered, and at this time, the server group 200 needs to be used to synchronize the electrocardiographic detection data in the second database to the client 100 for the doctor to diagnose.
In a specific embodiment of the present application, a specific process for synchronizing the electrocardiographic detection data stored in the second database to the client 100 is provided, and referring to fig. 5, the client 100 is further configured to send a synchronization request to the server group 200;
the server group 200 synchronizes the electrocardiographic detection data stored in the second database to the client 100, and is specifically configured to, after receiving the synchronization request, determine target electrocardiographic detection data according to the synchronization request, and synchronize the target electrocardiographic detection data to the client 100 that sent the synchronization request.
In this embodiment, the server group 200 synchronizes the target electrocardiographic detection data required by the synchronization request to the client 100 sending the synchronization request only after receiving the synchronization request sent by the client 100, so as to avoid an unnecessary synchronization process and reduce the load of the server group 200.
For example, after the user describes information to the doctor, the doctor only pays attention to the electrocardiographic data in a certain time period, the synchronization request may include a start time and an end time of the electrocardiographic detection data, the start time and the end time are determined according to the time period of attention, the server group 200 only needs to synchronize a part of the electrocardiographic detection data to the client 100, and the client 100 may still perform analysis and display on the part of the electrocardiographic detection data obtained. This greatly reduces the pressure and bandwidth requirements of the server farm 200.
On the basis of the foregoing embodiment, another specific embodiment of the present application provides a specific process for synchronizing the electrocardiographic detection data stored in the second database to the client 100, and referring to fig. 6, the server group 200 synchronizes the electrocardiographic detection data stored in the second database to the client 100, specifically for analyzing the electrocardiographic detection data stored in the second database to obtain abnormal data, and synchronizing the electrocardiographic detection data within a preset time length to the client 100 with the abnormal data as a center.
Generally, data worth attention in the electrocardiographic detection data is electrocardiographic monitoring data with abnormality, and the data is called as abnormal data. The process of analyzing and determining the abnormal data in the electrocardiographic detection data can be distinguished according to the characteristics of the QRS complexes of cardiovascular diseases such as premature beat, arrhythmia and the like, for example, when the position of the QRS complexes on the abscissa is advanced, the QRS complexes may be the QRS wave characteristics corresponding to the premature beat phenomenon, and the QRS complexes can be judged as the abnormal data.
In addition, the preset time length can be determined according to actual requirements, and can be the time length of dozens of QRS waves, and also can be the time length of dozens of QRS waves; because the abnormal data is used as the center, the electrocardiographic detection data in the preset time length is smaller than all electrocardiographic detection data, the pressure of the server group 200 can be greatly reduced, the bandwidth can be saved, the storage pressure of the client 100 can be reduced, and the user experience can be improved.
On the basis of the foregoing embodiment, a further specific embodiment of the present application provides a specific process for synchronizing the electrocardiographic detection data stored in the second database to the client 100, where the server group 200 synchronizes the electrocardiographic detection data stored in the second database to the client 100, and is specifically configured to synchronize the electrocardiographic detection data stored in the second database to the client 100 during an idle period of the server group 200.
In this embodiment, the server group 200 is allowed to synchronize during the idle period of the server group 200, so as to balance the server group 200 and reduce the pressure during the busy period of the server group 200. The idle time period of the server may be determined according to the time distribution of the access amount of the server group 200, or may be determined after analysis by a technician.
Based on the above embodiment, in yet another specific embodiment of the present application, as shown in fig. 7, the first database is a MySQL database.
The second database is a MongoDB database.
The server group 200 is connected to the plurality of clients 100 through a Web Service interface.
Fig. 3 is a schematic frame diagram of the system in this embodiment, the electrocardiographic detection data management system uses a Spring frame to implement low-coupling calling between modules, so that maintainability and expansibility of the system are enhanced. Persistent storage is realized by adopting a lightweight ORM framework Mybatis. The adoption of Web Service provides a unified interface to the outside, can realize the communication across the firewall, improve the compatibility of the system, can reuse codes and data, select the CXF framework to provide the Web Service unified interface, the CXF has the characteristics of high performance, flexible deployment and the like, and can improve the overall performance of the system. The MySQL database is adopted to store structured data, and compared with a non-relational database, the MySQL database supports SQL, and can realize complex query. The MongoDB database supports mass data well, so that the application of the MongoDB database to store the electrocardiogram data is in document-oriented storage, the MongoDB HAs better support to the electrocardiogram data, the document-type storage is also suitable for the electrocardiogram data retrieval, and meanwhile, the synchronization, HA and the like of a server cluster are better guaranteed. And a Redis memory database is also adopted as an asynchronous queue and a cache queue of the electrocardiogram data. In fig. 3, Tomcat is a basic framework of the server group 200, and the analysis module and the ecg data management module are configured to analyze ecg detection data to be uploaded, generate a task through an Event Producer and place the task into a task queue, and an Event Consumer takes out and executes the task with the highest priority in the task queue.
In this embodiment, the electrocardiographic detection data management system can well deal with the problems of continuous increase of data volume and pressure of electrocardiographic detection data uploading to a server;
first, it is possible to cope with the continuous increase in the amount of data by the horizontal extension of the server group 200, and both MongoDB and Redis naturally support the horizontal extension, thereby making the system horizontal extension very easy. The MongoDB horizontal expansion can be used for gradually coping with the continuous increase of the data volume, the corresponding horizontal expansion of the Redis and the corresponding improvement of the cache storage capacity of the server, and data which are easy to access are cached in the memory type database Redis, so that the overall performance of the server group 200 is improved. Server pressure may be mitigated by montodb configuration fragmentation.
Secondly, the uploading of the electrocardiograph detection data is time-consuming and resource-consuming operation, the pressure on the server is high, Redis is adopted as a task queue in the system to balance time-consuming operations such as the uploading of the electrocardiograph detection data, and unpredictable results caused by excessive operation at a certain time to the server group 200 are prevented. Referring to fig. 7, the three clients 100 upload the electrocardiographic data to the server group 200, the server group 200 does not immediately accept the upload operation, but adds the task into the queue, if the server group 200 does not currently have the task, the task is immediately taken out to establish connection with the client 100 for upload operation, and if the server group 200 has more current tasks, the queue upload operation is performed according to the priority of the task in the queue.
In summary, the embodiment of the present application provides an electrocardiographic detection data management system, which uploads electrocardiographic detection data and associated structured data to a server group for storage through a client, and since the storage capacity of a database is much higher than that of an SD card and most external storage devices, the storage efficiency and the calling convenience of data are ensured; in addition, the server group adopts an asynchronous uploading strategy, adds the received data uploading request into the task queue, and sends a permission instruction to the client according to the sequence of the task queue, so that the situation that excessive clients upload the electrocardiograph detection data at the same time to cause excessive load on the server group is avoided.
Further, the server group 200 selects different databases to store structured data and unstructured data in the electrocardiographic detection data, which is beneficial to exerting advantages of the different databases.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. An electrocardiographic detection data management system characterized by comprising: the system comprises a server group and a plurality of clients, wherein the server group comprises a first database and a second database; wherein,
the client is used for sending a data uploading request to the server group and uploading the electrocardio detection data and the structured data associated with the electrocardio detection data after receiving the permission instruction;
the server group is used for adding the received data uploading request into a task queue, sending a permission instruction to the client according to the sequence of the task queue, receiving the electrocardio detection data and the structured data, storing the structured data in the first database, and storing the electrocardio detection data in the second database.
2. The system of claim 1, wherein the server group adds the received data upload request to a task queue, and is specifically configured to receive the data upload request, and determine whether to receive the electrocardiographic detection data and the structured data according to the data upload request; and if so, adding the data uploading request into a task queue according to the priority.
3. The system of claim 1, wherein the first database is a MySQL database.
4. The system of claim 1, wherein the second database is a MongoDB database.
5. The system of claim 1, wherein the server group is further configured to synchronize the electrocardiographic detection data stored in the second database to the client.
6. The system of claim 5, wherein the client is further configured to send a synchronization request to the server group;
and the server group synchronizes the electrocardio detection data stored in the second database to the client specifically for determining target electrocardio detection data according to the synchronization request after receiving the synchronization request and synchronizing the target electrocardio detection data to the client sending the synchronization request.
7. The system according to claim 5, wherein the server group synchronizes the electrocardiographic detection data stored in the second database to the client specifically for analyzing the electrocardiographic detection data stored in the second database to obtain abnormal data, and synchronizes the electrocardiographic detection data within a preset time period to the client with the abnormal data as a center.
8. The system according to claim 5, wherein the server group synchronizes the electrocardiographic detection data stored in the second database to the client specifically for synchronizing the electrocardiographic detection data stored in the second database to the client during a server group idle period.
9. The system of claim 1, wherein the server group and the plurality of clients are connected via a WebService interface.
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| CN106333671A (en) * | 2016-09-21 | 2017-01-18 | 广东工业大学 | Electrocardiogram detection system |
| CN106502837A (en) * | 2016-10-25 | 2017-03-15 | 广东欧珀移动通信有限公司 | A kind of method of data backup, apparatus and system |
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