CN106650269A - Big data mining and data redundancy processing based medical information system - Google Patents
Big data mining and data redundancy processing based medical information system Download PDFInfo
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
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Abstract
The invention relates to the technical field of medical monitoring platform, in particular to a big data mining and data redundancy processing based medical information system which is reliable in operation, accurate in monitoring and capable of effectively improving medical monitoring efficiency to achieve the purpose of optimizing medical treatment resources. The medical information system is characterized by comprising a management and control platform and at least two local monitoring terminals; to be specific, the management and control platform and the local monitoring terminals are in connection through a network communication circuit; the management and control platform comprises a server, a data receiving mechanism and a data analysis mechanism; the data analysis mechanism and the data receiving mechanism are respectively connected with the server; the data analysis mechanism is provided with a data reduction module; the local monitoring terminals are provided with controllers, data acquisition modules, data storage modules and data transmitting modules. As compared with the prior art, the medical information system overcomes the defect that the conventional monitoring system cannot realize effective data transmission in real time and has the advantages of reasonable structure, reliable operation and the like.
Description
Technical field：
The present invention relates to medical monitoring platform technology field, specifically a kind of reliable operation, monitoring are accurate, Neng Gouyou
Effect improve medical monitoring efficiency, and then reach optimization medical resource purpose based on big data excavate and data redundancy process
Medical information system.
Background technology：
At present in the medical field, especially in family's sudden illness, the medical level of general house person is limited, completely according to
The detailed datas such as the state of an illness of patient are passed to into hospital held a consultation for doctor by the simple communication modes of phone or fax etc., this
The situation of full and accurate description patient is difficult to, is that the consultation of doctors of doctor brings certain difficulty, be difficult to doctor to the correct of conditions of patients
Judge to provide effective foundation, and the patient that hospital cannot come in advance for transfer does sufficiently preparation.Said circumstances also Jing
Often occur in daily ambulance first aid.Because the first-aid personnel on ambulance can not be accurately and timely full and accurate by the state of an illness of patient
Describe to hospital, it is impossible to allow hospital to carry out sufficiently preparation, so as to the delay to conditions of patients can be caused, when serious, may danger
And the life of patient.
In order to solve the above problems, researcher is proposed using each item data of medical monitoring instrument collection patient body,
And send to processing platform in time, so as to reach the purpose of timely diagnosis and treatment.Existing remote medical monitoring system mainly includes remote
Journey control platform and local monitor end, local monitor end be provided with for gather the blood sugar of patient body data, blood pressure, body temperature,
The data Jing radio communication circuit for collecting is uploaded to remote-control platform by the parameter acquisition such as heartbeat mechanism, local monitor end,
Typically data are uploaded by GPRS or Ethernet or the mode such as bluetooth or 3G/4G Mobile Communication Circuits, ideally, local prison
Control end can coordinate with remote-control platform and complete monitor in real time/diagnosis, but during being wirelessly transferred of data, easily by
There is time delay or packet loss the problems such as network congestion, the integrality for causing data is destroyed, in order to solve the problem, it should
Network occurs making correct process before congestion situation in time, and shake and time delay are then the early stage signs that network occurs congestion,
The mutation of shake often imply that the arrival of network bottleneck.What shake was represented is the severe degree of packet delay change, if
Assign the time delay of packet as stochastic variable, then shake is exactly the variance at each moment in this random process, actually should
With during, one is done in computational accuracy and computation complexity for the calculating of variance and has accepted or rejected balance, to reach timely standard
Really characterize the demand of network jitter.But existing computational methods sensitivity is relatively low.
The content of the invention：
The shortcoming and defect that the present invention exists for prior art, it is proposed that one kind can fast and accurately by conditions of patients
The medical information system processed based on big data excavation and data redundancy of data transfer to remote diagnosis platform.
The present invention can be reached by following measures：
A kind of medical information system processed based on big data excavation and data redundancy, it is characterised in that be provided with control platform
And plural local monitoring terminals, control platform is connected with local monitoring terminals Jing network communications circuits, wherein institute
State control platform to distinguish including server, data receiver mechanism, data analysis mechanism, data analysis mechanism and data receiving mechanism
It is connected with server, data analysis mechanism is connected with data receiver mechanism, the data analysis mechanism is included for obtaining
The data extraction module of key message, the pretreatment module for being pre-processed to the data for obtaining, data reduction module, use
In the parameter setting module of selection, the data-mining module for data to be analyzed with computing being carried out to processing mode, are used for
Data fusion module that multinomial Result is merged, for the display output module of final result after output fusion；Institute
State local monitoring terminals and be provided with controller, data acquisition module, data memory module, data transmission blocks, wherein controller point
It is not connected with data acquisition module, data memory module, data transmission blocks, data acquisition module and data transmission blocks are divided
It is not connected with data memory module；The local monitoring terminals are additionally provided with the network congestion detection module being connected with controller
Module is switched fast with data communication, wherein network congestion detection module includes transmission delay rate of change acquisition module, a reference value
Adjusting module, judge whether reset a reference value module, a reference value reset module, jitter value computing module, wherein transmission delay become
Rate acquisition module, a reference value adjusting module, judge whether reset a reference value module be sequentially connected, judge whether reset a reference value
The output end of module resets module with a reference value respectively and jitter value computing module is connected, and a reference value resets the output end of module
It is connected with a reference value adjusting module；The data reduction module carries out following process to the data for obtaining：In data to be calculated
Determine length of window in the byte sequence of content；Determine the window number of parallel computation and redirect interval；According to counted window
The fingerprint value of each window of fingerprint value parallel computation, wherein the calculation of the window fingerprint value is：RF(α1、α2、α3......
αβ)=(α1pβ+α2pβ‐1+…+αβ‐1p+αβ)modM；Wherein α1、α2、α3......αβFor the syllable sequence in data content to be calculated
Row, RF (α1、α2、α3……αβ) fingerprint value of the length of window for the byte sequence of β is represented, p and M is optional constant；Described
Calculated by following formula according to the fingerprint value of each window of counted window fingerprint value parallel computation：RF(αi+1、αi+2、αi+3......αi+β)
=(RF (αi、αi+1、αi+2......αi+β‐1)‐αi×pβ)×p+αi+βmodM；Wherein αi+1、αi+2、αi+3......αi+βTo wait to count
Calculate the byte sequence in data content, RF (αi、αi+1、αi+2......αi+β‐1) represent finger of the length of window for the byte sequence of β
Line value, p and M are optional constant；It is number that mark window fingerprint value meets the window's position of predetermined deblocking boundary condition
According to piecemeal border, wherein, window fingerprint value meets predetermined deblocking condition, then the right margin of current sliding window mouth is located
Position mark is the border of deblocking；Calculate deblocking hashed value, and the hashed value of flag data piecemeal with store
Deblocking hashed value it is equal for redundant data block.
Heretofore described window fingerprint value is calculated by Rabin's fingerprint function；It is described to redirect at intervals of the parallel computation
The integral multiple of window number；It is described to redirect the integral multiple that interval is not the window number of the parallel computation；It is described to redirect weight in interval
The folded window fingerprint value for calculating is used to verify；The window of the parallel computation is located at same redirecting in interval；The parallel computation
Window positioned at difference redirect interval in；Carried out with the data that redundant data block is labeled as described in hashed value and reference information replacement
The storage of the data block.
The output end of network congestion detection module is switched fast module and is connected with data communication in the present invention, data communication
It is switched fast the input of module to be connected with the output end of jitter value computing module in network congestion detection module, data communication
Module is switched fast including threshold value comparing module, address assignment module, current service network signal strength signal intensity receiver module, current
Node updates/sets up module, wherein jitter value computing module with base station distance judge module, edge-triggered module, communication port
Output end be connected with threshold value comparing module, the output end of threshold value comparing module is connected with address assignment module, ground
Location distribute module updates/sets up module successively with present node and base station distance judge module, edge-triggered module, communication port
It is connected, the volume output end of current service network signal strength signal intensity receiver module is connected with threshold value comparing module.
Data acquisition module in local monitoring terminals of the present invention is used to gather patient body data, including blood pressure
Value, blood glucose value, body temperature, heartbeat etc..
Transmission delay rate of change acquisition module of the present invention continuous time discretization, using frame as discretization when
Between unit, TiTo Ti+1Interior totally 20 frame of time interval, uses DiRepresent the transmission delay of packet, propagation delay time DiComputing formula
For：Di=(Ri‐Si), wherein RiFor the time that receiving terminal receives packet, SiFor the transmission time that packet is carried, calculating Ti‐1
To TiThe mean value and T of transmission delay in timeiTo Ti+1In time the mean value of transmission delay according to and obtain transmission delay
Rate of change DRi。
A reference value adjusting module of the present invention carries out time per unit adjustment a reference value：E=E+DRi× Δ t, wherein, E
For desired value, Δ t is the time difference of two interframe.
It is of the present invention to judge whether that resetting a reference value module judges whether to need to reset a reference value：If so, base is then passed through
Quasi- value resets module and resets to a reference value：E=Di+DRi×(Ti+1‐Ti)/2, are then fed into jitter value computing module, otherwise directly
Pick into jitter value computing module.
Jitter value computing module is averaged the difference with a reference value in the present invention, and the absolute value of this difference is done refers to
Number is smooth, calculates jitter value JiFor：Ji=(15 × Ji‐1+|Di- E |)/16, characterize network congestion, jitter value with jitter value
More big then imminent network congestion is more serious.
The present invention compared with prior art, can overcome existing data in monitoring system cannot real-time high-efficiency propagate ask
Topic, with the significant advantage such as rational in infrastructure, reliable operation.
Description of the drawings：
Accompanying drawing 1 is the structured flowchart of the present invention.
Accompanying drawing 2 is the structured flowchart of network congestion detection module in the present invention.
Accompanying drawing 3 is the structured flowchart that data communication is switched fast module in the present invention.
Accompanying drawing 4 is the structured flowchart of data analysis mechanism in the present invention.
Reference；Control platform 1, local monitoring terminals 2, server 3, data receiver mechanism 4, data analysis mechanism 5,
Controller 6, data acquisition module 7, data memory module 8, data transmission blocks 9, network congestion detection module 10, data communication
It is switched fast module 11, transmission delay rate of change acquisition module 12, a reference value adjusting module 13, judges whether to reset a reference value mould
Block 14, a reference value resets module 15, jitter value computing module 16, threshold value comparing module 17, address assignment module 18, current clothes
Business network signal intensity receiver module 19, present node and base station distance judge module 20, edge-triggered module 21, communication port
Update/set up module 22, data extraction module 23, pretreatment module 24, parameter setting module 25, data-mining module 26, number
According to Fusion Module 27, display output module 28.
Specific embodiment：
Below in conjunction with the accompanying drawings the present invention is further illustrated.
As shown in drawings, the present invention proposes a kind of medical information system processed based on big data excavation and data redundancy
System, it is characterised in that be provided with control platform 1 and plural local monitoring terminals 2, control platform 1 and local monitoring terminals
2 Jing network communications circuits are connected, wherein the control platform 1 includes server 3, data receiver mechanism 4, data analysis mechanism
5, data analysis mechanism 5 and data receiving mechanism 4 are connected respectively with server 3, data analysis mechanism 5 and data receiver mechanism
4 are connected, and the data analysis mechanism is included for obtaining the data extraction module 23 of key message, for the data for obtaining
Pretreatment module 24, data reduction module 29, the parameter setting module for carrying out selection to processing mode for being pre-processed
25th, for data to be analyzed with the data-mining module 26 of computing, for melting to the data that multinomial Result is merged
Matched moulds block 27, for output fusion after final result display output module 28；The local monitoring terminals 2 be provided with controller 6,
Data acquisition module 7, data memory module 8, data transmission blocks 9, wherein controller 6 respectively with 7 pieces of parameter acquisition mould, data
Memory module 8, data transmission blocks 9 are connected, data acquisition module 7 and data transmission blocks 9 respectively with data memory module 8
It is connected；The local monitoring terminals 2 are additionally provided with the network congestion detection module 10 that is connected with controller 6 and data communication is fast
Fast handover module 11, wherein network congestion detection module 10 include that transmission delay rate of change acquisition module 12, a reference value adjusts mould
Block 13, judge whether that resetting a reference value module 14, a reference value resets module 15, wherein jitter value computing module 16, transmission delay
Rate of change acquisition module 12, a reference value adjusting module 13, judge whether that resetting a reference value module 14 is sequentially connected, and judges whether weight
The output end for putting a reference value module 14 is connected respectively with a reference value replacement module 15 and jitter value computing module 16, a reference value weight
The output end for putting module 15 is connected with a reference value adjusting module 13.
The output end of network congestion detection module 10 is switched fast 11 pieces of mould and is connected with data communication in the present invention, data
Communication is switched fast the input of module 11 and is connected with the output end of jitter value computing module 16 in network congestion detection module 10
Connect, data communication is switched fast module 11 including threshold value comparing module 17, address assignment module 18, current service network signal
Strength reception module 19, present node and base station distance judge module 20, edge-triggered module 21, communication port update/set up
Module 22, the wherein output end of jitter value computing module 16 are connected with threshold value comparing module 17, threshold value comparing module 17
Output end be connected with address assignment module 18, address assignment module 18 and present node and base station distance judge module 20,
Edge-triggered module 21, communication port updates/sets up module 22 and be sequentially connected and connects, current service network signal strength signal intensity receiver module
19 volume output end is connected with threshold value comparing module 17.
Data acquisition module in local monitoring terminals of the present invention is used to gather patient body data, including blood pressure
Value, blood glucose value, body temperature, heartbeat etc..
Transmission delay rate of change acquisition module of the present invention continuous time discretization, using frame as discretization when
Between unit, TiTo Ti+1Interior totally 20 frame of time interval, uses DiRepresent the transmission delay of packet, propagation delay time DiComputing formula
For：Di=(Ri‐Si), wherein RiFor the time that receiving terminal receives packet, SiFor the transmission time that packet is carried, calculating Ti‐1
To TiThe mean value and T of transmission delay in timeiTo Ti+1In time the mean value of transmission delay according to and obtain transmission delay
Rate of change DRi。
A reference value adjusting module of the present invention carries out time per unit adjustment a reference value：E=E+DRi× Δ t, wherein, E
For desired value, Δ t is the time difference of two interframe.
It is of the present invention to judge whether that resetting a reference value module judges whether to need to reset a reference value：If so, base is then passed through
Quasi- value resets module and resets to a reference value：E=Di+DRi×(Ti+1‐Ti)/2, are then fed into jitter value computing module, otherwise directly
Pick into jitter value computing module.
Jitter value computing module is averaged the difference with a reference value in the present invention, and the absolute value of this difference is done refers to
Number is smooth, calculates jitter value JiFor：Ji=(15 × Ji‐1+|Di- E |)/16, characterize network congestion, jitter value with jitter value
More big then imminent network congestion is more serious.
The present invention compared with prior art, can overcome existing data in monitoring system cannot real-time high-efficiency propagate ask
Topic, with the significant advantage such as rational in infrastructure, reliable operation.
Claims (8)
1. it is a kind of based on big data excavate and data redundancy process medical information system, it is characterised in that be provided with control platform with
And plural local monitoring terminals, control platform is connected with local monitoring terminals Jing network communications circuits, wherein described
Control platform includes server, data receiver mechanism, data analysis mechanism, data analysis mechanism and data receiving mechanism respectively with
Server is connected, and data analysis mechanism is connected with data receiver mechanism, and the data analysis mechanism includes being closed for obtaining
The data extraction module of key information, for the data for obtaining are pre-processed pretreatment module, data reduction module, be used for
The parameter setting module of selection, the data-mining module for data to be analyzed with computing are carried out to processing mode, for right
Data fusion module that multinomial Result is merged, for the display output module of final result after output fusion；It is described
Local monitoring terminals are provided with controller, data acquisition module, data memory module, data transmission blocks, wherein controller difference
It is connected with data acquisition module, data memory module, data transmission blocks, data acquisition module and data transmission blocks are distinguished
It is connected with data memory module；The local monitoring terminals be additionally provided with the network congestion detection module that is connected with controller and
Data communication is switched fast module, and wherein network congestion detection module includes that transmission delay rate of change acquisition module, a reference value are adjusted
Mould preparation block, judge whether reset a reference value module, a reference value reset module, jitter value computing module, wherein transmission delay change
Rate acquisition module, a reference value adjusting module, judge whether reset a reference value module be sequentially connected, judge whether reset a reference value mould
The output end of block resets module and jitter value computing module and is connected with a reference value respectively, a reference value reset the output end of module with
A reference value adjusting module is connected；The data reduction module carries out following process to the data for obtaining：In data to be calculated
Determine length of window in the byte sequence of appearance；Determine the window number of parallel computation and redirect interval；Referred to according to counted window
The fingerprint value of each window of line value parallel computation, wherein the calculation of the window fingerprint value is：RF(α1、α2、α3......αβ)
=(α1pβ+α2pβ‐1+...+αβ‐1p+αβ)mod M；Wherein α1、α2、α3......αβFor the syllable sequence in data content to be calculated
Row, RF (α1、α2、α3......αβ) fingerprint value of the length of window for the byte sequence of β is represented, p and M is optional constant；It is described
Calculated by following formula according to the fingerprint value of each window of counted window fingerprint value parallel computation：RF(αi+1、αi+2、αi+3......
αi+β)=(RF (αi、αi+1、αi+2......αi+β‐1)‐αi×pβ)×p+αi+βmod M；Wherein αi+1、αi+2、αi+3......αi+βFor
Byte sequence in data content to be calculated, RF (αi、αi+1、αi+2......αi+β‐1) represent byte sequence of the length of window for β
Fingerprint value, p and M be optional constant；Mark window fingerprint value meets the window's position of predetermined deblocking boundary condition
For deblocking border, wherein, window fingerprint value meets predetermined deblocking condition, then by the right margin of current sliding window mouth
Position is labeled as the border of deblocking；Calculate deblocking hashed value, and the hashed value of flag data piecemeal with
The deblocking hashed value of storage it is equal for redundant data block.
2. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
Levy is that the window fingerprint value is calculated by Rabin's fingerprint function；It is described to redirect the whole of the window number at intervals of the parallel computation
Several times；It is described to redirect the integral multiple that interval is not the window number of the parallel computation；The window for redirecting overlapping calculation in interval
Mouth fingerprint value is used to verify；The window of the parallel computation is located at same redirecting in interval；The window of the parallel computation is located at
Difference is redirected in interval；The data block is carried out with the data that redundant data block is labeled as described in hashed value and reference information replacement
Storage.
3. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
It is that the output end of network congestion detection module is switched fast module and is connected with data communication to levy, and data communication is switched fast mould
The input of block is connected with the output end of jitter value computing module in network congestion detection module, and data communication is switched fast mould
Block includes threshold value comparing module, address assignment module, current service network signal strength signal intensity receiver module, present node and base station
Distance Judgment module, edge-triggered module, communication port update/set up module, wherein the output end of jitter value computing module with
Threshold value comparing module is connected, and the output end of threshold value comparing module is connected with address assignment module, address assignment module
Module being updated/set up with present node and base station distance judge module, edge-triggered module, communication port and being sequentially connected connect, when
The volume output end of front service network signal strength signal intensity receiver module is connected with threshold value comparing module.
4. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
It is that data acquisition module in the local monitoring terminals is used to gathering patient body data to levy, including pressure value, blood glucose value,
Body temperature, heartbeat etc..
5. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
Levy be the transmission delay rate of change acquisition module continuous time discretization, using frame as the chronomere of discretization,
TiTo Ti+1Interior totally 20 frame of time interval, uses DiRepresent the transmission delay of packet, propagation delay time DiComputing formula be：Di=
(Ri‐Si), wherein RiFor the time that receiving terminal receives packet, SiFor the transmission time that packet is carried, calculating Ti‐1To TiTime
The mean value and T of interior transmission delayiTo Ti+1In time the mean value of transmission delay according to and obtain the rate of change of transmission delay
DRi。
6. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
Levy is that a reference value adjusting module carries out time per unit adjustment a reference value：E=E+DRi× Δ t, wherein, E is expectation
Value, Δ t is the time difference of two interframe.
7. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
Levy is described to judge whether that resetting a reference value module judges whether to need to reset a reference value：If so, then by a reference value replacement
Module resets to a reference value：E=Di+DRi×(Ti+1‐Ti)/2, are then fed into jitter value computing module, are otherwise sent directly into and tremble
Dynamic value computing module.
8. it is according to claim 1 it is a kind of excavated based on big data and medical information system that data redundancy is processed, it is special
It is difference that jitter value computing module is averaged with a reference value to levy, and the absolute value to this difference does exponential smoothing, meter
Calculate jitter value JiFor：Ji=(15 × Ji‐1+|Di- E |)/16, network congestion is characterized with jitter value, jitter value is more big then will
The network congestion of generation is more serious.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112202504A (en) * | 2020-09-25 | 2021-01-08 | 陈广慈 | Wireless communication system of peripheral transmission thickener |
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| CN103078709A (en) * | 2013-01-05 | 2013-05-01 | 中国科学院深圳先进技术研究院 | Data redundancy identifying method |
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