CN110491461A - A kind of healthy data processing system - Google Patents
A kind of healthy data processing system Download PDFInfo
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- CN110491461A CN110491461A CN201810930053.1A CN201810930053A CN110491461A CN 110491461 A CN110491461 A CN 110491461A CN 201810930053 A CN201810930053 A CN 201810930053A CN 110491461 A CN110491461 A CN 110491461A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- 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
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- 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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
Abstract
The present invention relates to a kind of healthy data processing systems, including line module, data acquisition module, data analysis module, data prediction module, data display module, mobile terminal.Human body physical sign data can be manually entered or human body physical sign data are measured by measuring instrument in real time.By analysis, human body physical sign data can be divided into normal index, abnormal index and in the following possible abnormal index, every sign data of user is efficiently monitored.
Description
Technical field
The application field more particularly to a kind of healthy data processing system that the present invention relates to computers in terms of medical treatment
System.
Background technique
With the development of science and technology and the continuous quickening of aging of population process, more and more home medical health equipments
Start to occur and also than being more valued by people in the past.Blood pressure instrument, blood glucose meter, batheroom scale, falling-resistant detection device etc.
Deng also bringing certain problem while providing people with convenience, for example device category is various, user using intrusion sense compared with
It is strong etc..On the other hand, the measurement of Medical Devices is difficult the health data of a period of time being subject to benefit with certain independent property
With also lacking a kind of management software of synthesis due to the complexity of sign data.Therefore, a multi-functional people is designed and Implemented
Body health data processing system has critically important realistic meaning and theoretical research value.The system can be compatible with variety classes and
The Medical Devices of different manufacturers can provide analysis as a result, and can effectively organize to the measured value of a variety of sign datas
The historical data of user's measurement makes prediction to following sound development situation, moreover it is possible to determine the general health of user
Position alarm.
Summary of the invention
In view of this, the present invention provides a kind of healthy data processing system solved or part solves the above problems.
To achieve the effect that above-mentioned technical proposal, the technical solution of the present invention is as follows: a kind of healthy data processing system,
Including line module, data acquisition module, data analysis module, data prediction module, data display module, mobile terminal；
Line module, data acquisition module, data analysis module, data prediction module, data display module are all integrated in
On mobile terminal；
Mobile terminal is equipped with input-output equipment, and in input-output equipment, user can input use in line module
Name in an account book and password enter healthy data processing system；User can enter data acquisition module by input-output equipment,
Typing personal data can also pass into data display module and check information；
Line module is used to manage the personal data of user, and user is health management system arranged to use after line module registration
Unique identity ID is distributed at family, and by identity ID, user can log in healthy data processing system, inquire in database
All personal data；Can be by input-output equipment typing personal data, and personal data are saved in database；
Data acquisition module is used to acquire the human body physical sign data of user, and human body physical sign data include height, weight, blood
Sugar, blood pressure；Data acquisition module includes data entry element and data measuring unit；Data entry element is for being manually entered people
Body sign data after user enters data entry element, can choose and update human body physical sign data, be manually filling new body
The time of measuring of data and new human body physical sign data is levied, and is saved；Data entry element is used for real-time measurement human body physical sign number
According to；Data entry element using when be connected with external measurement devices, external measurement devices include blood pressure instrument, blood glucose meter, batheroom scale；
Class obtains the survey of new human body physical sign data and new human body physical sign data after data entry element is connect with external measurement devices
The time is measured, and is saved；
Whether in the normal range data analysis module for analyzing human body physical sign data；Data acquisition module is by body
Sign data are sent to data analysis module, the mark that data analysis module announces the human body physical sign data received and authoritative institution
Quasi- data are contrasted, and whether in the reasonable scope to analyze each comparative run, and obtain comparison, each comparative run
A comparison is obtained, the comparison of comparative run in the reasonable scope is 1, not the ratio of comparative run in the reasonable scope
It is 0 according to result；
Data prediction module is used to predict the variation tendency in human body physical sign data future；Data analysis module is by comparison
It corresponds to human body physical sign data for 1 comparative run and is sent to data prediction module, combined using gray model and neural network
Method predicts the value within the scope of following two standard time, obtains anticipation trend, the standard time, range was by healthy data
The background work personnel of reason system determine；Data prediction module compares the normal data that anticipation trend is announced with authoritative institution
According to whether in the reasonable scope analyzing each comparative run, and obtain prediction comparison, each comparative run obtains one
Comparison, the prediction comparison of comparative run in the reasonable scope are 1, not the prediction ratio of comparative run in the reasonable scope
It is 0 according to result；
Data display module is used for analysis result, the prediction result of data prediction module of display data analysis module, and
Realize warning function；Data display module includes health data unit, abnormal data unit, alarm unit；Health data unit
For showing that normal human body physical sign index, normal human body physical sign index are that comparison is 1 and prediction comparison is 1
Comparison project shows change of the normal human body physical sign index within former and later two standard time at current time with line chart
Change trend；For abnormal data unit for showing abnormal human body physical sign index, it is 0 that abnormal human body physical sign index, which is comparison,
And predict that comparison is 1 comparison project, two of normal human body physical sign index before current time are shown with line chart
Variation tendency within the scope of a standard time；Alarm unit is used to show human body physical sign index that may be abnormal, may be abnormal
Human body physical sign index is that comparison is 0 and predicts the comparison project that comparison is 0, shows possible abnormal people with line chart
Variation tendency of the body sign Index within the scope of two standard time before current time；Data display module uses formula one again
Calculate health degree:
Formula one:
Wherein, δ is health degree, is the percentage between 0~100%, without unit；A, b, c are regulation coefficient by human body
The background work personnel of health data processing system determine；T is the time of measuring of the new human body physical sign data of comparative run, accurately
To day；T is current time, is accurate to day；M is the number of normal human body physical sign index；I is normal human body physical sign index
Number；TiIt is the time of measuring of the new human body physical sign data of the comparative run of the normal human body physical sign index of i for number；N is
The number of abnormal human body physical sign index；J is the number of abnormal human body physical sign index；TjTo number the abnormal human body for being j
The time of measuring of the new human body physical sign data of the comparative run of sign Index；P is the number of human body physical sign index that possible abnormal；
K is the number of human body physical sign index that possible abnormal；TkIt is the comparative run of the human body physical sign index of the possibility exception of k for number
The time of measuring of new human body physical sign data；
If health degree is less than secure threshold, data display module is prompted, and illustrates the comparison project and power of user
The normal data that prestige mechanism announces is by larger gap；If health degree be not less than secure threshold, data display module without
Prompt illustrates the comparison project of user in the reasonable scope, secure threshold by healthy data processing system background work
Personnel determine.
Beneficial achievement of the invention are as follows: the present invention provides a kind of healthy data processing system, be equipped with line module,
Data acquisition module, data analysis module, data prediction module, data display module, mobile terminal.Human body can be manually entered
Sign data measures human body physical sign data by measuring instrument in real time.By analysis, human body physical sign data can be divided into just
Chang Zhibiao, abnormal index and it is following may abnormal index, every sign data of user is efficiently monitored.
Specific embodiment
In order to which technical problems, technical solutions and advantages to be solved are more clearly understood, tie below
Embodiment is closed, the present invention will be described in detail.It should be noted that specific embodiment described herein is only to explain
The present invention is not intended to limit the present invention, and the product for being able to achieve said function belongs to equivalent replacement and improvement, is all contained in this hair
Within bright protection scope.The specific method is as follows:
Embodiment 1: the present embodiment specifically describes the structure of healthy data processing system, as follows:
Healthy data processing system includes line module, data acquisition module, data analysis module, data prediction mould
Block, data display module, mobile terminal；
Line module, data acquisition module, data analysis module, data prediction module, data display module are all integrated in
On mobile terminal；
Mobile terminal is equipped with input-output equipment, and in input-output equipment, user can input use in line module
Name in an account book and password enter healthy data processing system；User can enter data acquisition module by input-output equipment,
Typing personal data can also pass into data display module and check information；
Line module is used to manage the personal data of user, and user is health management system arranged to use after line module registration
Unique identity ID is distributed at family, and by identity ID, user can log in healthy data processing system, inquire in database
All personal data；Can be by input-output equipment typing personal data, and personal data are saved in database；
Data acquisition module is used to acquire the human body physical sign data of user, and human body physical sign data include height, weight, blood
Sugar, blood pressure；Data acquisition module includes data entry element and data measuring unit；Data entry element is for being manually entered people
Body sign data after user enters data entry element, can choose and update human body physical sign data, be manually filling new body
The time of measuring of data and new human body physical sign data is levied, and is saved；Data entry element is used for real-time measurement human body physical sign number
According to；Data entry element using when be connected with external measurement devices, external measurement devices include blood pressure instrument, blood glucose meter, batheroom scale；
Class obtains the survey of new human body physical sign data and new human body physical sign data after data entry element is connect with external measurement devices
The time is measured, and is saved；
Whether in the normal range data analysis module for analyzing human body physical sign data；Data acquisition module is by body
Sign data are sent to data analysis module, the mark that data analysis module announces the human body physical sign data received and authoritative institution
Quasi- data are contrasted, and whether in the reasonable scope to analyze each comparative run, and obtain comparison, each comparative run
A comparison is obtained, the comparison of comparative run in the reasonable scope is 1, not the ratio of comparative run in the reasonable scope
It is 0 according to result；
Data prediction module is used to predict the variation tendency in human body physical sign data future；Data analysis module is by comparison
It corresponds to human body physical sign data for 1 comparative run and is sent to data prediction module, combined using gray model and neural network
Method predicts the value within the scope of following two standard time, obtains anticipation trend, the standard time, range was by healthy data
The background work personnel of reason system determine；Data prediction module compares the normal data that anticipation trend is announced with authoritative institution
According to whether in the reasonable scope analyzing each comparative run, and obtain prediction comparison, each comparative run obtains one
Comparison, the prediction comparison of comparative run in the reasonable scope are 1, not the prediction ratio of comparative run in the reasonable scope
It is 0 according to result；
Data display module is used for analysis result, the prediction result of data prediction module of display data analysis module, and
Realize warning function；Data display module includes health data unit, abnormal data unit, alarm unit；Health data unit
For showing that normal human body physical sign index, normal human body physical sign index are that comparison is 1 and prediction comparison is 1
Comparison project shows change of the normal human body physical sign index within former and later two standard time at current time with line chart
Change trend；For abnormal data unit for showing abnormal human body physical sign index, it is 0 that abnormal human body physical sign index, which is comparison,
And predict that comparison is 1 comparison project, two of normal human body physical sign index before current time are shown with line chart
Variation tendency within the scope of a standard time；Alarm unit is used to show human body physical sign index that may be abnormal, may be abnormal
Human body physical sign index is that comparison is 0 and predicts the comparison project that comparison is 0, shows possible abnormal people with line chart
Variation tendency of the body sign Index within the scope of two standard time before current time；Data display module uses formula one again
Calculate health degree:
Formula one:
Wherein, δ is health degree, is the percentage between 0~100%, without unit；A, b, c are regulation coefficient by human body
The background work personnel of health data processing system determine；T is the time of measuring of the new human body physical sign data of comparative run, accurately
To day；T is current time, is accurate to day；M is the number of normal human body physical sign index；I is normal human body physical sign index
Number；TiIt is the time of measuring of the new human body physical sign data of the comparative run of the normal human body physical sign index of i for number；N is
The number of abnormal human body physical sign index；J is the number of abnormal human body physical sign index；TjTo number the abnormal human body for being j
The time of measuring of the new human body physical sign data of the comparative run of sign Index；P is the number of human body physical sign index that possible abnormal；
K is the number of human body physical sign index that possible abnormal；TkIt is the comparative run of the human body physical sign index of the possibility exception of k for number
The time of measuring of new human body physical sign data；
If health degree is less than secure threshold, data display module is prompted, and illustrates the comparison project and power of user
The normal data that prestige mechanism announces is by larger gap；If health degree be not less than secure threshold, data display module without
Prompt illustrates the comparison project of user in the reasonable scope, secure threshold by healthy data processing system background work
Personnel determine.
Embodiment 2: the present embodiment concrete example illustrates the architecture design of healthy data processing system, as follows:
Client is the application software in android system, is realized by numerous container controls on Activity component
Alternation of bed user interface write and measurement data, the displaying of data and curves.Service layer provides branch to upper layer logic
It holds, data acquisition, data analysis and network communication can be divided into according to function.Data Layer then utilizes SQLite database complete
At.
Server-side is the Web server application software write using Java EE technology, and it is synchronous with cloud to complete local data
Function.Alternation of bed it is existing towards object be client-side program, temporarily without operation interface.Service layer, which needs to provide upper layer reception, to be asked
It asks the parsing of data and completes the ability of complex logic function.Data Layer utilizes MySQL.
Beneficial achievement of the invention are as follows: the present invention provides a kind of healthy data processing system, be equipped with line module,
Data acquisition module, data analysis module, data prediction module, data display module, mobile terminal.Human body can be manually entered
Sign data measures human body physical sign data by measuring instrument in real time.By analysis, human body physical sign data can be divided into just
Chang Zhibiao, abnormal index and it is following may abnormal index, every sign data of user is efficiently monitored.
The foregoing is merely the preferred embodiments of the invention, the claims that are not intended to limit the invention.
Simultaneously it is described above, for those skilled in the technology concerned it would be appreciated that and implement, therefore other be based on institute of the present invention
The equivalent change that disclosure is completed, should be included in the covering scope of the claims.
Claims (1)
1. a kind of healthy data processing system characterized by comprising line module, data acquisition module, data analysis
Module, data prediction module, data display module, mobile terminal；
The line module, the data acquisition module, the data analysis module, the data prediction module, the data
Display module all integrates on the mobile terminal；
The mobile terminal is equipped with input-output equipment, and in the input-output equipment, user can be in the line module
Middle input username and password enters the healthy data processing system；User can by the input-output equipment into
Enter the data acquisition module, typing personal data can also pass into the data display module and check information；
The line module is used to manage the personal data of user, and user is after line module registration, the health control
System distributes unique identity ID to user, and by the identity ID, user can log in the healthy data processing system
System, inquires all personal data in database；Can by personal data described in the input-output equipment typing, and
The personal data are saved in the database；
The data acquisition module is used to acquire the human body physical sign data of user, the human body physical sign data include height, weight,
Blood glucose, blood pressure；The data acquisition module includes data entry element and data measuring unit；The data entry element is used for
The human body physical sign data are manually entered, after user enters the data entry element, can choose and update the human body
Sign data, is manually filling the time of measuring of new human body physical sign data and new human body physical sign data, and saves；The data
Typing unit is for human body physical sign data described in real-time measurement；The data entry element using when be connected with externally measured set
Standby, the external measurement devices include blood pressure instrument, blood glucose meter, batheroom scale；The data entry element externally measured is set with described
Class obtains the time of measuring of new human body physical sign data and the new human body physical sign data after standby connection, and saves；
Whether in the normal range the data analysis module for analyzing the human body physical sign data；The data acquisition module
The human body physical sign data are sent to the data analysis module, the body that the data analysis module will receive
The normal data that sign data are announced with authoritative institution is contrasted, and whether in the reasonable scope to analyze each comparative run, and
Comparison is obtained, each described comparative run obtains the comparison, the comparison in the zone of reasonableness
The comparison of item is 1, and the comparison of the comparative run not in the zone of reasonableness is 0；
The data prediction module is used to predict the variation tendency in the human body physical sign data future；The data analysis module will
The comparative run that the comparison is 1 correspond to human body physical sign data and is sent to the data prediction module, using gray model with
The method that neural network combines predicts the value within the scope of following two standard time, obtains anticipation trend, the standard time
Range is determined by the background work personnel of the healthy data processing system；The data prediction module becomes the prediction
The normal data that gesture is announced with authoritative institution is contrasted, and whether in the reasonable scope to analyze each comparative run, and obtain
Predict comparison, each described comparative run obtains the comparison, the comparison in the zone of reasonableness
The prediction comparison of item is 1, and the prediction comparison of the comparative run not in the zone of reasonableness is 0；
The data display module is used to show the prediction of the analysis result, the data prediction module of the data analysis module
As a result, and realizing warning function；The data display module includes health data unit, abnormal data unit, alarm unit；Institute
It is the comparison that health data unit, which is stated, for showing normal human body physical sign index, the normal human body physical sign index
For 1 and the comparison project for predicting that comparison is 1, show the normal human body physical sign index when current with line chart
The variation tendency within the scope of former and later two described standard time carved；The abnormal data unit is for showing abnormal body
Index is levied, the abnormal human body physical sign index is the comparative run that the comparison is 0 and the prediction comparison is 1
Mesh shows the normal human body physical sign index within the scope of two standard time before current time with line chart
Variation tendency；The alarm unit is used to show human body physical sign index that may be abnormal, and the possible abnormal human body physical sign refers to
It is designated as the comparison project that the comparison is 0 and the prediction comparison is 0, shows the possible exception with line chart
Variation tendency of the human body physical sign index within the scope of two standard time before current time；The data display module
Health degree is calculated with formula one again:
Formula one:
Wherein, δ is the health degree, is the percentage between 0~100%, without unit；A, b, c are regulation coefficient by described
The background work personnel of healthy data processing system determine；T is the measurement of the new human body physical sign data of the comparative run
Time is accurate to day；T is current time, is accurate to day；M is the number of the normal human body physical sign index；I be it is described just
The number of normal human body physical sign index；TiIt is the new of the comparative run of the normal human body physical sign index of i for number
The time of measuring of human body physical sign data；N is the number of the abnormal human body physical sign index；J is the abnormal human body physical sign
The number of index；TjIt is the new human body physical sign data of the comparative run of the abnormal human body physical sign index of j for number
Time of measuring；P is the number of the possible abnormal human body physical sign index；K is the possible abnormal human body physical sign index
Number；TkIt is the new human body physical sign data of the comparative run of the possible abnormal human body physical sign index of k for number
Time of measuring；
If the health degree is less than secure threshold, the data display module is prompted, and illustrates the comparison project of user
The normal data announced with the authoritative institution is by larger gap；If the health degree is not less than secure threshold, the number
According to display module without prompt, illustrate the comparison project of user in the reasonable scope, the secure threshold is good for by the human body
The background work personnel of health data processing system determine.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109480793A (en) * | 2018-11-01 | 2019-03-19 | 禚志红 | A kind of healthy data processing system |
| CN109480792A (en) * | 2018-10-28 | 2019-03-19 | 禚志红 | A kind of healthy data processing system |
| CN111477330A (en) * | 2020-04-30 | 2020-07-31 | 马少才 | Health condition evaluation method based on medical big data |
| CN113628710A (en) * | 2021-07-22 | 2021-11-09 | 海信集团控股股份有限公司 | Data processing method of household health equipment, terminal equipment and server |
| CN114491284A (en) * | 2022-04-15 | 2022-05-13 | 科学技术文献出版社有限公司 | Information pushing system based on multi-channel data analysis |
-
2018
- 2018-08-15 CN CN201810930053.1A patent/CN110491461A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109480792A (en) * | 2018-10-28 | 2019-03-19 | 禚志红 | A kind of healthy data processing system |
| CN109480793A (en) * | 2018-11-01 | 2019-03-19 | 禚志红 | A kind of healthy data processing system |
| CN111477330A (en) * | 2020-04-30 | 2020-07-31 | 马少才 | Health condition evaluation method based on medical big data |
| CN113628710A (en) * | 2021-07-22 | 2021-11-09 | 海信集团控股股份有限公司 | Data processing method of household health equipment, terminal equipment and server |
| CN114491284A (en) * | 2022-04-15 | 2022-05-13 | 科学技术文献出版社有限公司 | Information pushing system based on multi-channel data analysis |
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