CN108735271A - A kind of ECG detecting data management system - Google Patents
A kind of ECG detecting data management system Download PDFInfo
- Publication number
- 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
- Authority
- CN
- China
- Prior art keywords
- data
- ecg detecting
- client
- database
- server group
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013523 data management Methods 0.000 title claims abstract description 24
- 238000003860 storage Methods 0.000 claims abstract description 21
- 230000001360 synchronised effect Effects 0.000 claims description 28
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims 1
- 238000000034 method Methods 0.000 description 13
- 230000008569 process Effects 0.000 description 11
- 238000010586 diagram Methods 0.000 description 5
- 238000000547 structure data Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000006854 communication Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000000718 qrs complex Methods 0.000 description 2
- 230000002459 sustained effect Effects 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 208000035211 Heart Murmurs Diseases 0.000 description 1
- 208000000418 Premature Cardiac Complexes Diseases 0.000 description 1
- 230000005189 cardiac health Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 239000012634 fragment Substances 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services
Landscapes
- Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Child & Adolescent Psychology (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
This application discloses a kind of ECG detecting data management systems, ECG detecting data and its associated structural data are uploaded onto the server by client and are stored in group by the ECG detecting data management system, since the storage capacity of database is far above SD card and most of External memory equipment, this guarantees the storage high efficiency of data and convenience is called；In addition, server group takes the strategy of asynchronous upload, the data upload requests received are added in task queue, and the case where sending grant instruction to client according to the sequence of task queue, excess load is caused to server group so as to avoid crossing multi-client while uploading ECG detecting data, occurs.
Description
Technical field
This application involves technical field of data storage, more specifically to a kind of ECG detecting data management system.
Background technology
ECG detecting data are to reflect the significant data of human heart health, and electrocardiographic examination is also that clinical cardiovascular disease is examined
The disconnected important method being commonly used, the preservation and management of the ECG detecting data that electrocardiographic examination generates have weight for a user
Want meaning.
The ECG detecting data and its structural data that are generated after electrocardiographic examination are stored in SD by mobile ECG detecting equipment
In card, and since the storage capacity of SD card is limited, need to increase External memory equipment to realize the more data of storage.But one
The storage capacity of aspect major part External memory equipment is also limited, cannot fundamentally solve the problems, such as that data store；Another party
Face increases External memory equipment, and data call will be made difficult.
Invention content
In order to solve the above technical problems, the present invention provides a kind of ECG detecting data management system, to realize the increase heart
Electric-examination measured data and its storage high efficiency of associated structural data and calling convenience, to electrocardio inspection clinically
The query calls of measured data and research are with reference to the convenient purpose of offer.
To realize the above-mentioned technical purpose, an embodiment of the present invention provides following technical solutions：
A kind of ECG detecting data management system, including：Server group and multiple client, the server group include the
One database and the second database；Wherein,
The client is used for the server group transmission data upload request, and is uploaded after receiving grant instruction
ECG detecting data and structural data associated with the ECG detecting data；
The server group is used to the data upload requests received being added in task queue, and according to the task
The sequence of queue sends grant instruction to the client, and for receiving the ECG detecting data and the structuring number
According to, and the structural data is stored in the first database, the ECG detecting data are stored in second number
According to library.
Preferably, the data upload requests received are added in task queue by the server group is specifically used for, and connects
Data upload requests are received, are judged whether to receive the ECG detecting data and the structuring number according to the data upload requests
According to；If so, the data upload requests are added in task queue according to priority.Preferably, the first database is
MySQL database.
Preferably, second database is MongoDB databases.
Preferably, the server group is additionally operable to the ECG detecting data stored in second database being synchronized to institute
It states in client.
Preferably, the client is additionally operable to send synchronization request to the server group；
The ECG detecting data stored in second database are synchronized in the client by the server group to be had
Body is used for, and after receiving the synchronization request, target ECG detecting data are determined according to the synchronization request, and by the mesh
Mark ECG detecting data are synchronized in the client for sending the synchronization request.
Preferably, the ECG detecting data stored in second database are synchronized to the client by the server group
It is specifically used in end, analyzes the ECG detecting data stored in second database, obtains abnormal data, and will be with described different
Centered on regular data, ECG detecting data are synchronized in the client in predetermined time period.
Preferably, the ECG detecting data stored in second database are synchronized to the client by the server group
It is specifically used in end, is synchronized to the ECG detecting data stored in second database in server group idle period described
In client.
Preferably, the server group is connect with the multiple client by Web Service interfaces.
It can be seen from the above technical proposal that an embodiment of the present invention provides a kind of ECG detecting data management system, institute
It states ECG detecting data management system and ECG detecting data and its associated structural data is uploaded to by institute by client
It states and is stored in server group, since the storage capacity of database is far above SD card and most of External memory equipment, this
It ensures that the storage high efficiency of data and calls convenience；In addition, server group takes the strategy of asynchronous upload, will receive
Data upload requests be added in task queue, and according to the sequence of task queue to client send grant instruction, to
It avoided multi-client while occurring the case where uploading ECG detecting data and cause excess load to server group.
Further, the server group selection different database stores the structuring in the ECG detecting data
Data and unstructured data are conducive to the advantage for playing disparate databases.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of structural schematic diagram for ECG detecting data management system that one embodiment of the application provides；
Fig. 2 is a kind of process flow signal for ECG detecting data management system that one embodiment of the application provides
Figure；
Fig. 3 is that the data upload requests received are added to task by the server group that one embodiment of the application provides
In queue, and according to the sequence of the task queue to the client send grant instruction flow diagram；
Fig. 4 is a kind of process flow signal for ECG detecting data management system that another embodiment of the application provides
Figure；
Fig. 5 is a kind of process flow signal for ECG detecting data management system that another embodiment of the application provides
Figure；
Fig. 6 is a kind of process flow signal for ECG detecting data management system that the further embodiment of the application provides
Figure；
Fig. 7 is a kind of block schematic illustration for ECG detecting data management system that another embodiment of the application provides.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The embodiment of the present application provides a kind of ECG detecting data management system, as depicted in figs. 1 and 2, including：Server
Group 200 and multiple client 100, the server group 200 include first database and the second database；Wherein,
The client 100 is used for 200 transmission data upload request of the server group, and is receiving grant instruction
ECG detecting data and structural data associated with the ECG detecting data are uploaded afterwards；
The server group 200 is used to the data upload requests received being added in task queue, and according to described
The sequence of task queue sends grant instruction to the client 100, and for receiving the ECG detecting data and the knot
Structure data, and the structural data is stored in the first database, the ECG detecting data are stored in described
Second database.
Fig. 1 is the structural schematic diagram of the ECG detecting data management system；Fig. 2 is ECG detecting data management system
The communication process schematic diagram of system；
It should be noted that the data that mobile ECG detecting equipment generates have data volume big, detachable and periodical
Feature the data of generation are divided into ECG detecting data and knot associated with ECG detecting data for These characteristics
Structure data.
In the present embodiment, the server group 200 is by the server cluster that at least a server is constituted, to be promoted
Process performance of the system to ECG detecting data.
The ECG detecting data management system is by client 100 by ECG detecting data and its associated structuring
Data are uploaded in the server group 200 and are stored, and be ensure that the storage high efficiency of data and are called convenience；In addition,
Server group takes the strategy of asynchronous upload, the data upload requests received is added in task queue, and according to task
The sequence of queue sends grant instruction to client, so as to avoid cross multi-client upload ECG detecting data simultaneously and to clothes
The case where business device group causes excess load occurs.
Further, the server group 200 select different databases store the ECG detecting data and with
The associated structural data of ECG detecting data is conducive to the advantage for playing disparate databases.
On the basis of the above embodiments, in one embodiment of the application, the server group 200 will receive
Data upload requests, which are added in task queue, to be specifically used for, and is received data upload requests, is sentenced according to the data upload requests
It is disconnected whether to receive the ECG detecting data and the structural data；If so, according to priority by the data upload requests
It is added in task queue.
With reference to figure 3, Fig. 3 is that the data upload requests received are added in task queue by the server group 200
Flow diagram includes the following steps：
S101 receives data upload requests；
S102 judges whether to receive the ECG detecting data and the structuring number according to the data upload requests
According to；If so, executing step S103；
The data upload requests are added in task queue by S103 according to priority.
It should be noted that the transmission speed that the priority of task can be according to client 100 in the task queue, visitor
100 data transmission fails number of family end and client 100 apply for the size of the ECG detecting data uploaded to determine；For example, can
To determine the priority of task according to the transmission speed of client 100, when certain several client 100 asks to upload electrocardio inspection simultaneously
When measured data, these 100 corresponding tasks of client are arranged according to the sequence of 100 transmission speed of client from fast to slow
Sequence preferentially carries out the client 100 with high speed the upload of electrocardiogram (ECG) data, and it is overall to reduce these clients 100
Stand-by period；Meanwhile if there are requests before a client 100 to upload ECG detecting number in these clients 100
When according to failure, the priority of the 100 corresponding task of client is promoted accordingly, reduces the total waiting time of the client 100；
Furthermore it is also possible to the priority of task be determined according to the ECG detecting size of data of the application upload of client 100, for example, excellent
First carry out the upload of smaller data.The application does not limit the specific determination process of the priority of task, specific to regard in fact
Depending on the situation of border.
In one embodiment of the application, the server group 200 can be by described in the storage of Redis memory databases
The flow of asynchronous upload ECG detecting data is completed in task queue.
On the basis of the above embodiments, in the preferred embodiment of the application, with reference to figure 4, the server group
200 are additionally operable to the ECG detecting data stored in second database being synchronized in the client 100.
In actual application, the case where doctor needs to call ECG detecting data is can be potentially encountered, needs profit at this time
The ECG detecting data in second database are synchronized in the client 100 with the server group 200, for doctor into
Row diagnosis.
In the specific embodiment of the application, a kind of ECG detecting that will be stored in second database is provided
Data are synchronized to the detailed process in the client 100, and with reference to figure 5, the client 100 is additionally operable to the server group
200 send synchronization request；
The ECG detecting data stored in second database are synchronized to the client by the server group 200
It is specifically used in 100, after receiving the synchronization request, target ECG detecting data is determined according to the synchronization request, and
The target ECG detecting data are synchronized in the client 100 for sending the synchronization request.
In the present embodiment, the server group 200 just will only after the synchronization request for receiving the transmission of client 100
Target ECG detecting data required by the synchronization request are synchronized in the client 100 for sending the synchronization request, are avoided
Unnecessary synchronizing process reduces the burden of the server group 200.
Such as user, Xiang after doctor's description information, doctor only focuses on the electrocardiogram (ECG) data of certain period, the synchronization request
It may include initial time and the deadline of ECG detecting data, the initial time and deadline are according to period of concern
It determines, server group 200 needs part ECG detecting data being synchronized to the client 100, and client 100 obtains
This part of ECG detecting data can still carry out parsing displaying.Be greatly lowered in this way server group 200 pressure and
Bandwidth requirement.
On the basis of the above embodiments, another specific embodiment of the application provides a kind of by second data
The ECG detecting data stored in library are synchronized to the detailed process in the client 100, with reference to figure 6, the server group 200
The ECG detecting data stored in second database are synchronized in the client 100 and are specifically used for, analysis described the
The ECG detecting data stored in two databases obtain abnormal data, and will be centered on the abnormal data, and preset time is long
ECG detecting data are synchronized in the client 100 in degree.
Under normal circumstances, the data for being worth being concerned in ECG detecting data are the cardioelectric monitor data in the presence of exception, I
Referred to as abnormal data.It is analyzed in the ECG detecting data and determines that the process of the abnormal data can be according to morning
Fight, the feature of the QRS complex of angiocardiopathies such as heart murmur is differentiated, such as when QRS complex is carried in the position of abscissa
Before, then it may be the corresponding QRS wave feature of premature beat phenomenon, can be determined as abnormal data.
In addition, the predetermined time period can be that the time of more than ten of QRS wave is long depending on actual demand
Degree, can also be the time span of tens QRS waves；Since centered on abnormal data, the electrocardio in predetermined time period is examined
Measured data can substantially reduce the pressure of server group 200, save bandwidth, also compared to whole ECG detecting data very littles
The storage pressure of the client 100 can be reduced, user experience is promoted.
On the basis of the above embodiments, another specific embodiment of the application provides a kind of by second data
The ECG detecting data stored in library are synchronized to the detailed process in the client 100, and the server group 200 is by described
The ECG detecting data stored in two databases, which are synchronized in the client 100, to be specifically used for, when server group 200 is idle
The ECG detecting data stored in second database are synchronized in the client 100 by section.
In the present embodiment, the server group 200 is allowed to be synchronized in 200 idle period of server group, for service
Device group 200 balances, and reduces the pressure of 200 peak hours/period of server group.The server free period can be according to server
The Annual distribution of the visit capacity of group 200 determines, can also be and is determined after technical staff analyzes, the application is to the server
The specific method of determination of idle period does not limit, specifically depending on actual conditions.
On the basis of the above embodiments, in another specific embodiment of the application, as shown in fig. 7, described first
Database is MySQL database.
Second database is MongoDB databases.
The server group 200 is connect with the multiple client 100 by Web Service interfaces.
Fig. 3 is the block schematic illustration of system in the present embodiment, in the present embodiment, the ECG detecting data management system
It realizes that intermodule lower coupling is called using Spring frames, enhances the maintainability and autgmentability of system.Using lightweight ORM
Frame Mybatis realizes persistent storage.Unified interface is externally provided using Web Service, may be implemented across fire wall
Communication improves system compatibility, can reuse code and data, chooses the offer Web Service services of CXF frames and uniformly connects
Mouthful, CXF has performance high, disposes the features such as flexible, can improve the overall performance of system.It is stored and is tied using MySQL database
Structure data, MySQL database support SQL relative to non-relational database, and complicated inquiry may be implemented.MongoDB numbers
So being stored to electrocardiogram (ECG) data using MongoDB databases, MongoDB is towards text very well is supported to mass data according to library
Shelves storage has preferable support, document formula storage to be well suited for electrocardiogram (ECG) data and retrieve electrocardiogram (ECG) data, while server cluster
Synchronization, HA etc. have preferable guarantee.It additionally uses Redis memory databases and does asynchronous queue, the buffer queue of electrocardiogram (ECG) data.
In figure 3, Tomcat is 200 basic framework of server group, and analysis module and electrocardiogram (ECG) data management module are used for to be uploaded
ECG detecting data are analyzed, and generating task by Event Producer is put into task queue, Event Consumer
The task of highest priority in task queue is taken out and executed.
In the present embodiment, the ECG detecting data management system can be very good reply data volume sustained growth and
ECG detecting data upload the stress problems to server；
First, by the horizontal extension of server group 200, the sustained growth of data volume can be coped with, MongoDB and
The all natural support level extensions of Redis, to make system level extension be very easy to.The horizontal extension of MongoDB can be calm
Reply data volume sustainable growth, the horizontal extension of corresponding Redis, server buffer storage capacity also accordingly improves, will
The data buffer storage being easily accessed to is in memory type database Redis, to improve 200 overall performance of server group.Pass through
MongoDB configures fragment, can mitigate server stress.
Secondly, ECG detecting data upload is relatively time-consuming and cost source a operation, larger to server stress, this
System serves as task queue using Redis, does equilibrium for time-consuming operations such as ECG detecting data uploads, prevents from sometime operating
Crossing that multipair server group 200 causes can not expected result.Electrocardiogram (ECG) data is uploaded to by flow with reference to figure 7, three clients 100
Server group 200, server group 200 will not be immediately subjected to upload operation, but task is added in queue, if server group
200 currently without task, upload operation is carried out then taking out the task immediately and establishing connection with client 100, if server
200 current tasks of group are more, and priority that be according to task in queue carries out queuing upload operation.
In conclusion the embodiment of the present application provides a kind of ECG detecting data management system, the ECG detecting data
ECG detecting data and its associated structural data are uploaded onto the server by client and are deposited in group by management system
Storage, since the storage capacity of database is far above SD card and most of External memory equipment, this guarantees the storages of data
High efficiency and calling convenience；In addition, server group takes the strategy of asynchronous upload, the data upload requests received are added
Grant instruction is sent to client into task queue, and according to the sequence of task queue, multi-client is same so as to avoid crossing
Shi Shangchuan ECG detectings data and the case where causing excess load to server group, occur.
Further, the server group 200 selects different databases to store the knot in the ECG detecting data
Structure data and unstructured data are conducive to the advantage for playing disparate databases.
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with other
The difference of embodiment, just to refer each other for identical similar portion between each embodiment.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest range caused.
Claims (9)
1. a kind of ECG detecting data management system, which is characterized in that including：Server group and multiple client, the service
Device group includes first database and the second database；Wherein,
The client is used for the server group transmission data upload request, and electrocardio is uploaded after receiving grant instruction
Detection data and structural data associated with the ECG detecting data；
The server group is used to the data upload requests received being added in task queue, and according to the task queue
Sequence send grant instruction to the client, and for receiving the ECG detecting data and the structural data, and
The structural data is stored in the first database, the ECG detecting data are stored in second database.
2. system according to claim 1, which is characterized in that the server group adds the data upload requests received
Enter and be specifically used for into task queue, receives data upload requests, judged whether described in reception according to the data upload requests
ECG detecting data and the structural data；If so, the data upload requests are added to task queue according to priority
In.
3. system according to claim 1, which is characterized in that the first database is MySQL database.
4. system according to claim 1, which is characterized in that second database is MongoDB databases.
5. system according to claim 1, which is characterized in that the server group is additionally operable to will be in second database
The ECG detecting data of storage are synchronized in the client.
6. system according to claim 5, which is characterized in that the client is additionally operable to send to the server group same
Step request；
The ECG detecting data stored in second database are synchronized in the client and specifically use by the server group
In after receiving the synchronization request, target ECG detecting data being determined according to the synchronization request, and by the target heart
Electric-examination measured data is synchronized in the client for sending the synchronization request.
7. system according to claim 5, which is characterized in that the server group will store in second database
ECG detecting data, which are synchronized in the client, to be specifically used for, and the ECG detecting number stored in second database is analyzed
According to, acquisition abnormal data, and will be centered on the abnormal data, ECG detecting data are synchronized to described in predetermined time period
In client.
8. system according to claim 5, which is characterized in that the server group will store in second database
ECG detecting data, which are synchronized in the client, to be specifically used for, and will be deposited in second database in server group idle period
The ECG detecting data of storage are synchronized in the client.
9. system according to claim 1, which is characterized in that the server group passes through Web with the multiple client
Service interface connects.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710250252.3A CN108735271A (en) | 2017-04-17 | 2017-04-17 | A kind of ECG detecting data management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710250252.3A CN108735271A (en) | 2017-04-17 | 2017-04-17 | A kind of ECG detecting data management system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108735271A true CN108735271A (en) | 2018-11-02 |
Family
ID=63925165
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710250252.3A Pending CN108735271A (en) | 2017-04-17 | 2017-04-17 | A kind of ECG detecting data management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108735271A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109584420A (en) * | 2018-12-04 | 2019-04-05 | 上海掌腾信息科技有限公司 | Rail hands over fast open gate intelligence passing control system and its intelligent passing control method based on vena metacarpea identification in the system of pedestrian passage |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1540566A (en) * | 2003-04-22 | 2004-10-27 | 上海吉量软件科技有限公司 | Palm type mobile system of remote monitoring cardiogram |
| WO2010014490A1 (en) * | 2008-07-30 | 2010-02-04 | Ecardio Diagnostics Llc | System and business method for electrocardiogram review |
| CN101778092A (en) * | 2009-01-13 | 2010-07-14 | 蒋一 | Data transmission method for multiple-client server |
| CN102917038A (en) * | 2012-10-10 | 2013-02-06 | 江苏物联网研究发展中心 | Cloud computation based remote service system for medical internet of things |
| CN102984244A (en) * | 2012-11-21 | 2013-03-20 | 用友软件股份有限公司 | Uploading system and uploading method of bill data |
| CN103139104A (en) * | 2011-12-05 | 2013-06-05 | 深圳迈瑞生物医疗电子股份有限公司 | Network transmission service class adjustment method, data terminal and network server |
| CN103598884A (en) * | 2013-12-03 | 2014-02-26 | 北京信息科技大学 | Portable remote electrocardiogram detection system based on mobile platform |
| CN103634224A (en) * | 2012-08-22 | 2014-03-12 | 深圳市腾讯计算机系统有限公司 | Method and system for transmitting data in network |
| CN103932696A (en) * | 2014-04-18 | 2014-07-23 | 赵小英 | Multifunctional health status detection method and system |
| CN104287722A (en) * | 2014-11-07 | 2015-01-21 | 桂林电子科技大学 | Wireless remote multi-user electrocardiograph monitoring system and method |
| CN205041399U (en) * | 2015-10-14 | 2016-02-24 | 张胜国 | Intelligent electrocardiogram monitoring system |
| CN105933368A (en) * | 2015-12-24 | 2016-09-07 | 中国银联股份有限公司 | User behavior data uploading method and device |
| 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 |
-
2017
- 2017-04-17 CN CN201710250252.3A patent/CN108735271A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1540566A (en) * | 2003-04-22 | 2004-10-27 | 上海吉量软件科技有限公司 | Palm type mobile system of remote monitoring cardiogram |
| WO2010014490A1 (en) * | 2008-07-30 | 2010-02-04 | Ecardio Diagnostics Llc | System and business method for electrocardiogram review |
| CN101778092A (en) * | 2009-01-13 | 2010-07-14 | 蒋一 | Data transmission method for multiple-client server |
| CN103139104A (en) * | 2011-12-05 | 2013-06-05 | 深圳迈瑞生物医疗电子股份有限公司 | Network transmission service class adjustment method, data terminal and network server |
| CN103634224A (en) * | 2012-08-22 | 2014-03-12 | 深圳市腾讯计算机系统有限公司 | Method and system for transmitting data in network |
| CN102917038A (en) * | 2012-10-10 | 2013-02-06 | 江苏物联网研究发展中心 | Cloud computation based remote service system for medical internet of things |
| CN102984244A (en) * | 2012-11-21 | 2013-03-20 | 用友软件股份有限公司 | Uploading system and uploading method of bill data |
| CN103598884A (en) * | 2013-12-03 | 2014-02-26 | 北京信息科技大学 | Portable remote electrocardiogram detection system based on mobile platform |
| CN103932696A (en) * | 2014-04-18 | 2014-07-23 | 赵小英 | Multifunctional health status detection method and system |
| CN104287722A (en) * | 2014-11-07 | 2015-01-21 | 桂林电子科技大学 | Wireless remote multi-user electrocardiograph monitoring system and method |
| CN205041399U (en) * | 2015-10-14 | 2016-02-24 | 张胜国 | Intelligent electrocardiogram monitoring system |
| CN105933368A (en) * | 2015-12-24 | 2016-09-07 | 中国银联股份有限公司 | User behavior data uploading method and device |
| 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 |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109584420A (en) * | 2018-12-04 | 2019-04-05 | 上海掌腾信息科技有限公司 | Rail hands over fast open gate intelligence passing control system and its intelligent passing control method based on vena metacarpea identification in the system of pedestrian passage |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10078875B2 (en) | System and method for real time viewing of critical patient data on mobile devices | |
| CN107302549A (en) | A kind of remote data transmission and storage system and method | |
| US20220117515A1 (en) | Advanced Consumer Application for Mobile Assessment of Functional Capacity and Falls Risk | |
| WO2020216694A1 (en) | A device, system, and method for measuring physiological phenomena and physical activivies in a subject | |
| CN106897159A (en) | A kind of system and method for gathering Data of Automatic Weather | |
| JP2019088847A (en) | Data analysis processing method for elasticity detection device and elasticity detection device | |
| CN107888456A (en) | Method and device for monitoring port data volume | |
| Suksaranjit et al. | Incidental LV LGE on CMR imaging in atrial fibrillation predicts recurrence after ablation therapy | |
| WO2023151212A1 (en) | Automatic calibration method and apparatus, and system for monitoring concentration level of analyte | |
| CN108735271A (en) | A kind of ECG detecting data management system | |
| CN114415603A (en) | Distributed data scheduling monitoring system, method and terminal for intelligent endowment | |
| CN109102880A (en) | Health monitor method and its device, system and computer readable storage medium | |
| Sun et al. | Long‐term impacts of hemodialysis on the right ventricle: assessment via 3‐dimensional speckle‐tracking echocardiography | |
| CN111028931B (en) | Medical data processing method and device, electronic equipment and storage medium | |
| CN110032497A (en) | A kind of monitoring system and method for achievement data | |
| CN109767834A (en) | A kind of medical imaging data sharing service method and system stored based on cloud messaging service platform and object | |
| US20220367017A1 (en) | Health data management methods, health data management device and background device | |
| JP2013009726A (en) | Medical image processing system | |
| CN109257403A (en) | Date storage method and equipment, distributed memory system | |
| CN114093499A (en) | Medical information processing method and system, electronic device and storage medium | |
| CN112463866A (en) | Express delivery industry data exporting method, system, computer and storage medium | |
| Mortara | Telemonitoring in Patients with Heart Failure-Lessons from Recent Randomised Multicentre Trials | |
| CN111243695A (en) | Non-invasive medical data acquisition method and system | |
| Pathinarupothi et al. | Large scale remote health monitoring in sparsely connected rural regions | |
| CN111081336A (en) | Medical diagnosis report sharing system, method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181102 |
|
| RJ01 | Rejection of invention patent application after publication |