CN107147746A - Slow sick data backup device and method based on binary system speech recognition - Google Patents
Slow sick data backup device and method based on binary system speech recognition Download PDFInfo
- Publication number
- CN107147746A CN107147746A CN201710529300.2A CN201710529300A CN107147746A CN 107147746 A CN107147746 A CN 107147746A CN 201710529300 A CN201710529300 A CN 201710529300A CN 107147746 A CN107147746 A CN 107147746A
- Authority
- CN
- China
- Prior art keywords
- data
- processing equipment
- binary code
- data processing
- slow sick
- 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.)
- Withdrawn
Links
- 229910002056 binary alloy Inorganic materials 0.000 title claims abstract description 25
- 238000000034 method Methods 0.000 title claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 111
- 238000006243 chemical reaction Methods 0.000 claims abstract description 19
- 230000009471 action Effects 0.000 claims abstract description 8
- 238000004891 communication Methods 0.000 claims description 13
- 201000010099 disease Diseases 0.000 claims description 9
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 9
- 230000009467 reduction Effects 0.000 claims description 5
- 230000003111 delayed effect Effects 0.000 abstract description 4
- 208000017667 Chronic Disease Diseases 0.000 description 6
- 238000002955 isolation Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 3
- 239000008186 active pharmaceutical agent Substances 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 229940079593 drug Drugs 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Computational Linguistics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Telephonic Communication Services (AREA)
Abstract
The present invention provides a kind of slow sick data backup device and method based on binary system speech recognition, and this method includes：First data processing equipment receives slow sick data to be backed up from first server and incites somebody to action slow sick data conversion into binary code；First data processing equipment control voice playing device plays binary code；When the voice playing device plays binary code, the second data processing equipment control recording device records played binary code；Second data processing equipment identifies recorded binary code by speech recognition algorithm, and is converted into corresponding slow sick data according to the binary code identified and is stored in second server.Implementing the present invention can avoid data from directly transmitting the infectiousness of caused network attack, and when first server is delayed machine by network attack, the data safety between different server can't be effectively improved by network attack as standby second server.
Description
Technical field
The present invention relates to medical information field, more particularly to a kind of slow sick data backup based on binary system speech recognition
Device and method.
Background technology
Slow disease data are the original records that chronic disease crowd treats overall process in hospital diagnosis, by periodically checking chronic disease
The chronic disease data of crowd, with effective monitoring and can improve the health of chronic disease crowd, it is to avoid the state of an illness of chronic disease crowd enters one
Step deteriorates.
Further, it is however generally that, chronic disease data are stored in the medical treatmentization of medical institutions information system, in order to prevent
The collapse of medical information system, the medical treatmentization information system needs periodically to be migrated anti-to carry out backup to slow sick data
Only there is the situation of data corruption.Existing slow sick Data Migration is all the direct information data transfer between different server,
Interconnected between server, if wherein one server can be infected to other servers by network attack, because
This, carries out data backup by the way of information data is directly transmitted, and security is not high.
The content of the invention
It is a primary object of the present invention to provide a kind of slow sick data backup device based on binary system speech recognition and side
Method, it is intended to solve based on existing technology of data copy due to causing the not high skill of security by the way of directly being transmitted using data
Art problem.
To achieve the above object, the invention provides a kind of slow sick data backup device based on binary system speech recognition,
The slow sick data backup device based on binary system speech recognition includes the first data processing equipment, voice playing device, record
Mixer and the second data processing equipment, wherein, first data processing equipment is connected with the voice playing device, described
Second data processing equipment is connected with the recording device, first data processing equipment also with first server communication link
Connect, second data processing equipment is also connected with the second server, wherein：
First data processing equipment, for receiving slow sick data to be backed up from first server and inciting somebody to action slow sick data
Binary code is converted into, and controls the voice playing device to play the binary code；
Second data processing equipment, for when the voice playing device plays binary code, controlling the record
Mixer records played binary code；And
Second data processing equipment, for identifying recorded binary code, and root by speech recognition algorithm
Corresponding slow sick data are reduced into according to the binary code identified and are stored in second server.
It is preferred that, when the first data processing equipment exports binary code to voice playing device, the speech play dress
Put and each binary code is played one by one.
It is preferred that, the voice playing device set between the corresponding binary code of the slow sick data of different batches it is default between
Every reproduction time.
It is preferred that, it is no between the voice playing device and recording device to be connected using wired or wireless communication mode,
Also do not connected between first data processing equipment and the second data processing equipment using wired or wireless communication mode.
It is preferred that, first data processing equipment call built-in binary code transcoding software will slow sick data conversion into
Binary code, second data processing equipment calls the binary code reduction that built-in binary code transcoding software will identify that
Go out corresponding slow sick data.
On the other hand, the present invention also provides a kind of slow sick data back up method based on speech recognition, applied to based on two
In the slow sick data backup device of system speech recognition, the slow sick data backup device based on binary system speech recognition includes
First data processing equipment, voice playing device, recording device and the second data processing equipment, wherein, at first data
Reason device is connected with the voice playing device, and second data processing equipment is connected with the recording device, and described first
Data processing equipment is also communicated to connect with first server, and second data processing equipment also connects with the second server
Connect, this method comprises the following steps：
First data processing equipment receives slow sick data to be backed up from first server；
First data processing equipment incites somebody to action slow sick data conversion into binary code；
First data processing equipment controls the voice playing device to play the binary code；
When the voice playing device plays binary code, second data processing equipment controls the recording device
The played binary code of record；
Second data processing equipment identifies recorded binary code by speech recognition algorithm；
Second data processing equipment is reduced into corresponding slow sick data according to the binary code identified；And
The slow sick data of reduction are stored in second server by second data processing equipment.
It is preferred that, when the first data processing equipment exports binary code to voice playing device, the speech play dress
Put and each binary code is played one by one.
It is preferred that, the voice playing device set between the corresponding binary code of the slow sick data of different batches it is default between
Every reproduction time.
It is preferred that, it is no between the voice playing device and recording device to be connected using wired or wireless communication mode,
Also do not connected between first data processing equipment and the second data processing equipment using wired or wireless communication mode.
It is preferred that, first data processing equipment call built-in binary code transcoding software will slow sick data conversion into
Binary code, second data processing equipment calls the binary code reduction that built-in binary code transcoding software will identify that
Go out corresponding slow sick data.
The present invention uses above-mentioned technical proposal, and the technique effect brought is：The present invention is in first server and second service
Data backup is carried out using physical isolation mode between device, it is to avoid the infectiousness of network attack caused by data are directly transmitted,
, can't be by network attack, effectively as standby second server when first server is delayed machine by network attack
Improve the data safety between different server.
Brief description of the drawings
Fig. 1 is the application environment schematic diagram of the slow sick data backup device of the invention based on binary system speech recognition；
Fig. 2 is the flow chart of the preferred embodiment of the slow sick data back up method of the invention based on speech recognition.
The object of the invention is realized, functional characteristics and advantage will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
Further to illustrate the present invention to reach the technological means and effect that predetermined goal of the invention is taken, below in conjunction with
Accompanying drawing and preferred embodiment, to embodiment, structure, feature and its effect of the present invention, are described in detail as follows.It should manage
Solution, the specific embodiments described herein are merely illustrative of the present invention, is not intended to limit the present invention.
Shown in reference picture 1, Fig. 1 is the application environment of the slow sick data backup device of the invention based on binary system speech recognition
Schematic diagram.
The slow sick data backup device 2 based on binary system speech recognition and first server 1 and second server 3 are logical
Letter connection.The slow sick data backup device 2 based on binary system speech recognition can access the first server 1 (or
Two servers 3), and obtain various types of slow sick data from the first server 1 (or second server 3).The slow disease
Data include, but not limited to, patient's name, patient age, sick time, slow name of disease claim, ill reason, slow sick diagnostic message,
Nomenclature of drug, Quantity of drugs, physician names, the contact method of medical hospital and section office, expense and patient are (for example, E-mail address
Address, phone number, instant messaging account etc.), slow sick encyclopaedia, the information such as Government Medical policy document.
The first server 1 provides data introducting interface (for example, application programming interfaces, Application Program
Interface, API), accessing the equipment or system of the data introducting interface can obtain slowly from the first server 1
Sick data.
The second server 3 provides data introducting interface (for example, application programming interfaces, Application Program
Interface, API), accessing the equipment or system of the data introducting interface can obtain slowly from the second server 3
Sick data.
It should be noted that the second server 3 is the standby server of the first server 1, first clothes
Slow sick data in business device 1, which can be migrated into second server 3, to backup.The first server 1 and second server 3 can
To be, but it is not limited to, the server (for example, blade server) for storing data.In other embodiments, in order to tackle Pang
Big data storage, can use by multiple server groups into computer cluster (i.e. data center) replace described first respectively
Server 1 and second server 3.
In the present embodiment, the slow sick data backup device 2 based on binary system speech recognition can pass through wired network
Network or wireless network are communicated to connect with the first server 1 and second server 3.
The slow sick data backup device 2 based on binary system speech recognition includes the first data processing equipment 20, voice
Playing device 22, the data processing equipment 26 of recording device 24 and second.Wherein, first data processing equipment 20 and institute's predicate
Sound playing device 22 is connected, and second data processing equipment 26 is connected with the recording device 24.
Further, first data processing equipment 20 communicates to connect (wired or wireless company with the first server 1
Connect), for obtaining slow sick data from the first server 1.
Specifically, first data processing equipment 20 is obtained in special time period (for example, 2 points to 4 points of every night)
The slow sick data of first server 1 are taken, and incite somebody to action slow sick data conversion into binary code.
In the present embodiment, first data processing equipment 20 calls built-in binary code transcoding software (for example, peace
Loaded on unicode transcoders or binary code transcoder etc. on the first data processing equipment 20) slow sick data conversion is incited somebody to action into two
Ary codes.
First data processing equipment 20 also controls the voice playing device 22 to play the binary code.Specifically
Say, the voice playing device 22 is specific toy trumpet, when the first data processing equipment 20 output binary code to voice is broadcast
When putting device 22, each binary code of 22 pairs of voice playing device is played one by one.It should be noted that in order to avoid
The binary codes of different type and the slow sick data of different pieces of information unit is obscured, the conversion of the first data processing equipment 20 one
After the binary code of the slow sick data of pen, soundplay device 22 is allowed to play the binary code of the slow sick data of this immediately.At other
In embodiment, the voice playing device 22 sets predetermined interval to broadcast between the corresponding binary code of the slow disease data of different batches
Put the time, specifically, after the corresponding binary code of slow sick data finishes playing, next record is being played in interval after three seconds
The corresponding binary code of slow disease data.
When the voice playing device 22 plays binary code, second data processing equipment 26 controls the recording
Device 24 records played binary code.It should be noted that not adopted between voice playing device 22 and recording device 24
Connected, also do not used between the first data processing equipment 20 and the second data processing equipment 26 with wired or wireless communication mode
Wired or wireless communication mode is connected.In other words, adopted between the first data processing equipment 20 and the second data processing equipment 26
With physical isolation mode, it is to avoid data are directly transmitted.When first server 1 is delayed machine by network attack, due to first
Physical isolation mode is employed between the data processing equipment 26 of data processing equipment 20 and second, standby second server is used as
3 can't be effectively improved the data safety between different server by network attack.
Further, second data processing equipment 26 identifies recorded binary system by speech recognition algorithm
Code, second data processing equipment 26 is reduced into corresponding slow sick data according to the binary code identified and is stored in second
In server 3, so as to complete the data backup from first server 1 into second server 3.Specifically, second number
Built-in binary code transcoding software is called (for example, being installed on unicode on the second data processing equipment 26 according to processing unit 26
Transcoder or binary code transcoder etc.) restore corresponding slow sick data.
In the present embodiment, the data processing equipment 26 of the first data processing equipment 20 and second is provided with binary system
Code switching software, for being reduced to slow sick data by slow sick data conversion into binary code or by binary code.The binary system
Code switching software may be, but not limited to, other arbitrary binary codes such as unicode code converters or binary code converter
Switching software.The data processing equipment 26 of first data processing equipment 20 and second may be, but not limited to, individual calculus
Other personnel such as machine, server (for example, blade server) can be by slow sick data conversion is into binary code and can enter two
Code processed is reduced to the computing device of slow sick data.
It should be noted that the definition in order to improve speech play, the voice playing device 22 is using high-fidelity
Speech player so that speech play is apparent.Because binary code is simple, slow sick data conversion is broadcast into binary code
Put, reduce the complexity of speech recognition, improve the degree of accuracy of speech recognition, can preferably reduce slow sick data.
It is the flow of the preferred embodiment of the slow sick data back up method of the invention based on speech recognition shown in reference picture 2
Figure.With reference to shown in Fig. 1, the slow sick data back up method based on speech recognition is applied to based on binary system speech recognition
In slow disease data backup device 1, this method comprises the following steps：
Step S11：First data processing equipment 20 receives slow sick data to be backed up from first server 1.
Specifically, first data processing equipment 20 is obtained in special time period (for example, 2 points to 4 points of every night)
Take the slow sick data of first server 1.
Step S12：First data processing equipment 20 is by the slow sick data conversion into binary code.In the present embodiment,
First data processing equipment 20 calls built-in binary code transcoding software (for example, being installed on the first data processing equipment
Unicode transcoders or binary code transcoder etc. on 20) slow sick data conversion is incited somebody to action into binary code.
Step S13：First data processing equipment 20 controls the voice playing device 22 to play the binary code.
Specifically, the voice playing device 22 is specific toy trumpet, when the first data processing equipment 20 exports binary code extremely
During voice playing device 22, each binary code of 22 pairs of voice playing device is played one by one.It should be noted that being
The binary code of different type and the slow sick data of different pieces of information unit is avoided to obscure, first data processing equipment 20
After the binary code of the slow sick data of conversion one, soundplay device 22 is allowed to play the binary code of the slow sick data of this immediately.
In other embodiments, the voice playing device 22 plays the slow sick data of different batches in preset interval time (for example, 3 seconds)
Corresponding binary code, specifically, after the corresponding binary code of slow sick data finishes playing, interval is being broadcast after three seconds
Put the corresponding binary code of the slow disease data of next record.
Step S14：When the voice playing device 22 plays binary code, second data processing equipment 26 is controlled
The recording device 24 records played binary code.
Step S15：Second data processing equipment 26 identifies recorded binary code by speech recognition algorithm.
Step S16：Second data processing equipment 26 is reduced into corresponding slow sick data according to the binary code of identification.
Specifically, second data processing equipment 26 calls built-in binary code transcoding software (for example, being installed on the second data
Unicode transcoders or binary code transcoder etc. in processing unit 26) restore corresponding slow sick data.
Step S17：The slow sick data of reduction are stored in second server 3 by second data processing equipment 26, from
And the data backup from first server 1 is completed into second server 3.
It should be noted that the definition in order to improve speech play, the voice playing device 22 is using high-fidelity
Speech player so that speech play is apparent.Because binary code is simple, slow sick data conversion is broadcast into binary code
Put, reduce the complexity of speech recognition, improve the degree of accuracy of speech recognition, can preferably reduce slow sick data.
Further, in the present invention, without using wired or wireless between voice playing device 22 and recording device 24
Communication mode is connected, also not using wired or wireless logical between the first data processing equipment 20 and the second data processing equipment 26
Letter mode is connected.In other words, physical isolation is employed between the first data processing equipment 20 and the second data processing equipment 26
Mode, it is to avoid data are directly transmitted.When first server 1 is delayed machine by network attack, due to the first data processing equipment
20 and second employ physical isolation mode between data processing equipment 26, can't be by as standby second server 3
Network attack, effectively improves the data safety between different server.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
Equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of slow sick data backup device based on binary system speech recognition, it is characterised in that including the first data processing dress
Put, voice playing device, recording device and the second data processing equipment, first data processing equipment and the speech play
Device is connected, and second data processing equipment is connected with the recording device, and first data processing equipment is also with first
Server communication is connected, and second data processing equipment is also connected with the second server, wherein：
First data processing equipment, for receiving slow sick data to be backed up from first server and inciting somebody to action slow sick data conversion
Into binary code, and the voice playing device is controlled to play the binary code；
Second data processing equipment, for when the voice playing device plays binary code, controlling the recording dress
Put and record played binary code；And
Second data processing equipment, for identifying recorded binary code by speech recognition algorithm, and according to knowledge
The binary code not gone out is reduced into corresponding slow sick data and is stored in second server.
2. the slow sick data backup device as claimed in claim 1 based on binary system speech recognition, it is characterised in that when first
Data processing equipment export binary code to voice playing device when, the voice playing device to each binary code carry out by
It is individual to play.
3. the slow sick data backup device as claimed in claim 1 based on binary system speech recognition, it is characterised in that institute's predicate
Sound playing device sets predetermined interval reproduction time between the corresponding binary code of the slow disease data of different batches.
4. the slow sick data backup device as claimed in claim 1 based on binary system speech recognition, it is characterised in that institute's predicate
It is no between sound playing device and recording device to be connected using wired or wireless communication mode, the first data processing equipment and second
Also do not connected between data processing equipment using wired or wireless communication mode.
5. the slow sick data backup device based on binary system speech recognition as claimed in claim 1, it is characterised in that described the
One data processing equipment calls built-in binary code transcoding software by slow sick data conversion into binary code, second data
The binary code that processing unit calls built-in binary code transcoding software will identify that restores corresponding slow sick data.
6. a kind of slow sick data back up method based on speech recognition, standby applied to the slow sick data based on binary system speech recognition
In part device, it is characterised in that the slow sick data backup device based on binary system speech recognition includes the first data processing
Device, voice playing device, recording device and the second data processing equipment, wherein, first data processing equipment with it is described
Voice playing device is connected, and second data processing equipment is connected with the recording device, first data processing equipment
Also communicated to connect with first server, second data processing equipment is also connected with the second server, and this method includes
Following steps：
First data processing equipment receives slow sick data to be backed up from first server；
First data processing equipment incites somebody to action slow sick data conversion into binary code；
First data processing equipment controls the voice playing device to play the binary code；
When the voice playing device plays binary code, second data processing equipment controls the recording device record
The binary code played；
Second data processing equipment identifies recorded binary code by speech recognition algorithm；
Second data processing equipment is reduced into corresponding slow sick data according to the binary code identified；And
The slow sick data of reduction are stored in second server by second data processing equipment.
7. the slow sick data back up method as claimed in claim 6 based on speech recognition, it is characterised in that at the first data
When managing device output binary code to voice playing device, the voice playing device is broadcast one by one to each binary code
Put.
8. the slow sick data back up method as claimed in claim 6 based on speech recognition, it is characterised in that the speech play
Device sets predetermined interval reproduction time between the corresponding binary code of the slow disease data of different batches.
9. the slow sick data back up method as claimed in claim 6 based on speech recognition, it is characterised in that the speech play
It is no between device and recording device to be connected using wired or wireless communication mode, at the first data processing equipment and the second data
Also do not connected between reason device using wired or wireless communication mode.
10. the slow sick data back up method as claimed in claim 6 based on speech recognition, it is characterised in that first number
Call built-in binary code transcoding software by slow sick data conversion into binary code according to processing unit, second data processing
The binary code that device calls built-in binary code transcoding software will identify that restores corresponding slow sick data.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710529300.2A CN107147746A (en) | 2017-07-01 | 2017-07-01 | Slow sick data backup device and method based on binary system speech recognition |
| PCT/CN2017/108179 WO2019006922A1 (en) | 2017-07-01 | 2017-10-28 | Chronic disease data backup apparatus and method based on binary speech recognition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710529300.2A CN107147746A (en) | 2017-07-01 | 2017-07-01 | Slow sick data backup device and method based on binary system speech recognition |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107147746A true CN107147746A (en) | 2017-09-08 |
Family
ID=59785013
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710529300.2A Withdrawn CN107147746A (en) | 2017-07-01 | 2017-07-01 | Slow sick data backup device and method based on binary system speech recognition |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN107147746A (en) |
| WO (1) | WO2019006922A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019006925A1 (en) * | 2017-07-01 | 2019-01-10 | 深圳市前海安测信息技术有限公司 | Chronic disease data backup apparatus and method based on binary conversion and image recognition |
| WO2019006923A1 (en) * | 2017-07-01 | 2019-01-10 | 深圳市前海安测信息技术有限公司 | Chronic disease file backup apparatus and method based on voice recognition |
| WO2019006922A1 (en) * | 2017-07-01 | 2019-01-10 | 深圳市前海安测信息技术有限公司 | Chronic disease data backup apparatus and method based on binary speech recognition |
Family Cites Families (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9430612B2 (en) * | 2009-02-04 | 2016-08-30 | NaviNet, Inc. | System and method for healthcare data management |
| US20120158432A1 (en) * | 2010-12-15 | 2012-06-21 | Uday Jain | Patient Information Documentation And Management System |
| CN102831163A (en) * | 2012-07-20 | 2012-12-19 | 江苏缨思贝睿物联网科技有限公司 | Data transfer method and data transfer system |
| CN102868752A (en) * | 2012-09-25 | 2013-01-09 | 北京苹果派科技有限公司 | Method, system and terminals for data transmission |
| CN106534340A (en) * | 2016-12-02 | 2017-03-22 | 深圳市前海安测信息技术有限公司 | Electronic medical record processing system and method based on cluster data migration |
| CN106548037A (en) * | 2016-12-02 | 2017-03-29 | 深圳市前海安测信息技术有限公司 | Electronic health record data mover system and method based on mobile terminal |
| CN107301107A (en) * | 2017-07-01 | 2017-10-27 | 深圳市前海安测信息技术有限公司 | The slow sick data backup device and method recognized based on Binary Conversion and image |
| CN107147746A (en) * | 2017-07-01 | 2017-09-08 | 深圳市前海安测信息技术有限公司 | Slow sick data backup device and method based on binary system speech recognition |
-
2017
- 2017-07-01 CN CN201710529300.2A patent/CN107147746A/en not_active Withdrawn
- 2017-10-28 WO PCT/CN2017/108179 patent/WO2019006922A1/en active Application Filing
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019006925A1 (en) * | 2017-07-01 | 2019-01-10 | 深圳市前海安测信息技术有限公司 | Chronic disease data backup apparatus and method based on binary conversion and image recognition |
| WO2019006923A1 (en) * | 2017-07-01 | 2019-01-10 | 深圳市前海安测信息技术有限公司 | Chronic disease file backup apparatus and method based on voice recognition |
| WO2019006922A1 (en) * | 2017-07-01 | 2019-01-10 | 深圳市前海安测信息技术有限公司 | Chronic disease data backup apparatus and method based on binary speech recognition |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019006922A1 (en) | 2019-01-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107301107A (en) | The slow sick data backup device and method recognized based on Binary Conversion and image | |
| US9973582B2 (en) | Method and apparatus for bi-directional communication and data replication between multiple locations during intermittent connectivity | |
| Kim et al. | Sex‐based disparities in incidence, treatment, and outcomes of cardiac arrest in the United States, 2003–2012 | |
| JPH08506460A (en) | Method and apparatus for audio conferencing connection of multiple telephone channels | |
| US11587669B2 (en) | Passing authentication token to authorize access to rest calls via web sockets | |
| EP3340063A1 (en) | Method, device, terminal, server, and system for accessing usb device | |
| CN107147746A (en) | Slow sick data backup device and method based on binary system speech recognition | |
| US9294277B2 (en) | Audio encryption systems and methods | |
| US20140032244A1 (en) | Systems and methods for telehealth delivery and analysis | |
| US20190327196A1 (en) | Service apparatus and method for providing deferred message, and storage medium | |
| L’Ecuyer et al. | Impact of donor cardiopulmonary resuscitation on pediatric heart transplant outcome | |
| US11050875B1 (en) | Conducting automated content processing to identify policy compliance | |
| US9596366B1 (en) | Video mail between residents of controlled-environment facilities and non-residents | |
| US20220392622A1 (en) | System and Method for Improved Medical Contact Center | |
| Lee et al. | Impact of continuous glucose monitoring in youth with type 1 diabetes aged 15–21 years | |
| EP3117584A1 (en) | Client side device accessing data during communication distruptions | |
| US10795864B1 (en) | Method and apparatus for bi-directional communication and data replication between local and remote databases during intermittent connectivity | |
| CN107357683A (en) | Slow sick file backup device and method based on speech recognition | |
| US11095770B1 (en) | Dynamic controlled-environment facility resident communication allocation based on call volume | |
| US10999438B1 (en) | Communication session scheduling queue | |
| Obbels et al. | The clinical practice of assessing cognitive function in adults receiving electroconvulsive therapy: Whom are we missing? | |
| CN112447280A (en) | Intelligent medical system for medical image information management | |
| CN112350921A (en) | Message processing method, terminal and storage medium | |
| Van Dam et al. | Telehealth experiences of vulnerable clients living in Tasmania | |
| JP6718949B2 (en) | Test support device, test support method, and program |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20170908 |