CN106485063B - The method of data monitoring - Google Patents
The method of data monitoring Download PDFInfo
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- CN106485063B CN106485063B CN201610855395.2A CN201610855395A CN106485063B CN 106485063 B CN106485063 B CN 106485063B CN 201610855395 A CN201610855395 A CN 201610855395A CN 106485063 B CN106485063 B CN 106485063B
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- G—PHYSICS
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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 present embodiments relate to a kind of methods of data monitoring, it include: user's sign data that the first user terminal obtains the first user, user's sign data has attribute information, and the attribute information includes the User ID of first user and the information of sign data project；User's sign data packet includes crucial item data and general item data；Server is sent by user's sign data；The server obtains user's sign parameter threshold of first user according to the User ID of first user；The first exceeded ratio of each crucial item data is determined according to user's sign parameter threshold, also, determines the second exceeded ratio of each general item data；The output result of the data monitoring is generated based on the described first exceeded ratio and the second exceeded ratio.
Description
Technical field
The present invention relates to field of communication technology more particularly to a kind of methods of data monitoring.
Background technique
With the development of the times, the raising of quality of life, health problem have been to be concerned by more and more people.Possess one to be good for
The physique of health is everyone common dream.
According to user demand, the application that online physical examination can be carried out for user has been developed in the industry, by all kinds of people
Group's will be widely welcomed.But the processing for the physical examination data collected, the often only analysis, judgement of independent data, and
The actual conditions of user are not bound with to analyze, thus are likely to result in because of normal data caused by user's actual conditions
It fluctuates misjudged.
For example user just takes exercise and finishes, and measures blood pressure, heart rate, measurement data is likely to beyond standard a certain range,
If not combining user's actual conditions, which will be confirmed to be unqualified data, and data analysis result is caused mistake occur,
Then the accuracy that may influence whether the various prompt informations generated according to the data analysis result provides the user with mistake
Information.
Summary of the invention
It, can be according to acquisition the purpose of the present invention is in view of the drawbacks of the prior art, providing a kind of method of data monitoring
To user's sign data classify, and it is different according to classification, the different standards that transfinites is provided.And with user's body-sensing data
And/or the auxiliary monitoring data such as current step counting data is added in the Effective judgement standard of user's sign data monitoring, with true
Whether really abnormal recognize user's sign data exceeded in current test, is still only because user is due to actual conditions variation
Caused normal fluctuation.
In view of this, the embodiment of the invention provides a kind of methods of data monitoring, comprising:
First user terminal obtains user's sign data of the first user, and user's sign data has attribute information,
The attribute information includes the User ID of first user and the information of sign data project；User's sign data packet includes
Crucial item data and general item data；
Server is sent by user's sign data；
The server obtains user's physical sign parameters threshold of first user according to the User ID of first user
Value；
The first exceeded ratio of each crucial item data is determined according to user's sign parameter threshold, also, is determined every
Second exceeded ratio of a general item data；
The output result of the data monitoring is generated based on the described first exceeded ratio and the second exceeded ratio.
Preferably, described that the defeated of the data monitoring is generated based on the described first exceeded ratio and the second exceeded ratio
Result specifically includes out:
When the described first exceeded ratio of the crucial item data of the first quantity is more than first threshold, according to the super institute the
User's sign data of one threshold value generates the output result of the data monitoring.
Preferably, described that the defeated of the data monitoring is generated based on the described first exceeded ratio and the second exceeded ratio
Result specifically includes out:
When the described first exceeded ratio is more than that the quantity of the crucial item data of second threshold and the second exceeded ratio surpass
When crossing the sum of the quantity of the general item data of third threshold value and reaching the second quantity, according to the super institute first of the described first exceeded ratio
The crucial item data of threshold value and the second exceeded ratio are more than the general item data of the third threshold value, generate the data prison
The output result of control.
Preferably, the method also includes:
Obtain the auxiliary monitoring data of the first user, the auxiliary monitoring data includes user's body sense data and/or current
Step counting data；
Server is sent by the auxiliary monitoring data；
The server obtains user's body-sensing data threshold and/or step counting according to the User ID of first user
Data threshold；
Determine that the third of the auxiliary monitoring data of each auxiliary monitored item is super according to the auxiliary monitoring parameter threshold value
Mark ratio.
It is further preferred that described generated the data and supervised based on the described first exceeded ratio with the second exceeded ratio
The output result of control specifically:
The data prison is generated based on the described first exceeded ratio, the second exceeded ratio and the exceeded ratio of the third
The output result of control.
Preferably, the sign data project includes: heart rate, blood pressure, blood oxygen saturation and blood viscosity.
Preferably, the key item data include the data of blood pressure and blood viscosity；The general term data include the heart
The data of rate and blood oxygen saturation.
The method of data monitoring provided in an embodiment of the present invention can divide according to collected user's sign data
Class, and it is different according to classification, the different standards that transfinites is provided.And with the auxiliary such as user's body-sensing data and/or current step counting data
Monitoring data is added in the Effective judgement standard of user's sign data monitoring, to confirm user's body exceeded in current test
It whether really abnormal levies data, is still only normal fluctuation caused by changing because of user because of actual conditions.
Detailed description of the invention
Fig. 1 is the method flow diagram of data monitoring provided in an embodiment of the present invention.
Specific embodiment
Below by drawings and examples, technical scheme of the present invention will be described in further detail.
Fig. 1 is the method flow diagram of data monitoring provided in an embodiment of the present invention, as shown in Figure 1, comprising:
Step 110, the first user terminal obtains user's sign data of the first user；
Wherein, user's sign data has attribute information, and attribute information includes the User ID and sign data of the first user
The information of project；
Specifically, sign data project may include a variety of projects to user's sign parameter monitoring, such as the body of user
Height, weight, blood pressure etc..Some user's sign datas need user to input, it is some be can by with user terminal with wired
Or the external detection device that is connected of wireless mode realizes that data input, other can be by having on user equipment
Device user's sign information is acquired using obtaining after processing in addition corresponding processing module.
Preferred in this embodiment, sign data project includes: heart rate, blood pressure, blood oxygen saturation and blood viscosity.
The acquisition of user's sign data, being can be by user's sign monitoring device of the first user terminal, such as intelligent hand
The mobile phone camera of machine is acquired acquisition.Using photoplethysmographic graphical method (Photo Plethysmo Graphy,
PPG), the principles such as infrared light spectrophotometric, can be obtained by mobile phone camera the heart rate of user, blood pressure, blood oxygen saturation and
Users' sign data such as blood viscosity.
In this example, in order to which more targetedly whether the monitored data of confirmation really indicate number in case of exceeded
According to exception, or because some variations of user actual state itself cause the fluctuation of data in the reasonable scope, this
Embodiment classifies to user's sign data, and wherein key item includes blood pressure and blood viscosity, general term include heart rate and
Blood oxygen saturation.The considerations of classifying in this way is since it is considered that many people endure the puzzlement of high blood pressure, condensed blood lipid to the fullest extent at present, so will
This two are set as key item.Heart rate fluctuates larger between motion state and non-athletic state, therefore it is as user's sign
The meaning of data monitoring is not very big, it is considered that it is hyperkinesia that heart rate, which is higher than 160 beats/min, and heart rate is lower than 40 beats/min
Bradycardia, blood oxygen saturation remove non-user and just will appear exception in anaerobic conditions such as plateau, gas poisonings, under normal circumstances very
Occurs this situation less, so being set as general term for this two.
Before being monitored to user's sign data, user terminal can determine whether the User ID of user first, specifically can be with
It is obtained by the log-on message that user logs in.
Step 120, the auxiliary monitoring data of the first user is obtained；
Wherein, auxiliary monitoring data includes user's body sense data and/or current step counting data, assists the attribute of monitoring data
Information includes the User ID of the first user；
Specifically, the method for obtaining user's body-sensing data can be with are as follows: after collecting user's sign data, generate user
Body-sensing request of data page data generates user's body-sensing data and acquires the page, prompts user to carry out data input, and obtain user
In the information of page input, user's body-sensing data are generated.
In a specific embodiment, user's body-sensing data are that 0 or 1,0 expression user feels when carrying out sign data monitoring
Feel bad, 1 is normal for feeling.
In another embodiment, user's body-sensing data can be 1-10, and 1 feels worst for user, 10 be it is best, can be with
Setting 6 or 7 is lower limits of normal.
The method for obtaining current step counting data can be the vibration generated built in data call instruction the first user terminal of acquisition
Dynamic sensor and the sensed data for having gravity sensing accelerator, obtain current step counting data.
In this case, it is optional schemes for step 120, using the method stream with 120 steps in more preferably embodiment
Journey.
Step 130, server is sent by user's sign data and auxiliary monitoring data；
Specifically, user terminal uploads onto the server the user's sign data currently obtained and auxiliary monitoring data.
It is acquired in the scheme for assisting monitoring data no, only upload user sign data.
Step 140, server obtains user's sign parameter threshold of the first user according to the User ID of the first user；
Specifically, server, which according to the user's sign data received, parses, determines what the first user for uploading data obtained
User ID, and the user's sign parameter threshold for storing the first user in the server is determined according to User ID.
User's sign parameter threshold of first user can be and update towards first customized, dynamic, can also be with
It is the parameter threshold of the fixation corresponded to from the storing data of server according to information such as the age of the first user, gender, occupations
Value.
Step 150, the first exceeded ratio of each crucial item data is determined according to user's sign parameter threshold, also, really
Second exceeded ratio of fixed each general item data；
Specifically, it is different according to sign data project, determine the exceeded ratio of each sign data project.
Wherein, the first exceeded ratio=(crucial item data-user's sign parameter threshold (maximum or minimum))/user's sign
Parameter threshold (maximum or minimum) × 100%；
Second exceeded ratio=(general item data-user's sign parameter threshold (maximum or minimum))/user's physical sign parameters
Threshold value (maximum or minimum) × 100%.
Step 160, server obtains user's body-sensing data threshold and/or step counting data according to the User ID of the first user
Threshold value；
Specifically, user's body-sensing data threshold is that setting has been stored in system, the feelings for being 0 or 1 in user's body-sensing data
Under condition, body-sensing data threshold can be set as 1.It is exceeded 100% when can then set body-sensing data as 0, when body-sensing data are 1 not
It is exceeded；In the case where user's body-sensing data are 1-10, body-sensing data threshold can be set as 7.Such as 6 be exceeded 10%, 5 are
Exceeded 20%, etc..
Setting for step counting data threshold can be set according to period difference, for example morning 9:00 is set as 2000
Step, noon 12:00 are set as 4000 steps, and afternoon, 18:00 was set as 6000 steps, and late 22:00 is set as 8000 steps.Then basis obtains
The period for taking the current step count data of the first user actually located determines corresponding step counting data threshold；
The setting of period can be based on the user's walking habits information collected in the time of one end, come when setting reasonable
Between section.
Step 170, determine that the third of the auxiliary monitoring data of each auxiliary monitored item is super according to auxiliary monitoring parameter threshold value
Mark ratio.
Specifically, being exceeded when can set body-sensing data as 0 in the case where user's body-sensing data are 0 or 1
100%, body-sensing data are not exceeded when being 1, i.e., exceeded ratio is 0；It is 1-10 in user's body-sensing data, body-sensing data threshold is 7
In the case where, can set body-sensing data as 6 is exceeded 10%, and 5 be exceeded 20%, etc..
For step counting data, such as 5000 step of cut-off same day 22:00 walking, then exceeded (8000-5000)/8000=
37.5%.
It should be noted that above-mentioned steps 160,170 can be with step 140,150 synchronous execution.
Step 180, the data monitoring is generated based on the first exceeded ratio, the second exceeded ratio and the exceeded ratio of third
Export result.
Specifically, do not consider to assist in the scheme of monitoring data in most simple implementation, it can be according to such as lower section
The output result of formula generation data monitoring.
First, can only it be judged with crucial item data, such as when described the first of the crucial item data of the first quantity
When exceeded ratio is more than first threshold, the defeated of the data monitoring is generated according to user's sign data more than first threshold
Result out.
Specifically, for example, any one of key item index is exceeded to reach 10%；For another example, in key item any two it is super
Mark reaches 5%, then can generate the defeated of data monitoring as basic data according to practical exceeded project and exceeded numerical value
Result out.
Second, key item and general term can be considered simultaneously, such as when the described first exceeded ratio is more than second threshold
The quantity of crucial item data and the second exceeded ratio are more than that the sum of the quantity of the general item data of third threshold value reaches second
When quantity, according to the described first exceeded ratio be more than the crucial item data of first threshold and the second exceeded ratio is more than institute
The general item data for stating third threshold value generates the output result of the data monitoring.
Specifically, for example, in key item and general term any three it is exceeded more than 5%, then can be according to practical exceeded item
Mesh and exceeded numerical value generate the output result of data monitoring as basic data.
In the preferred embodiment for considering auxiliary monitoring data, it is referred to above-mentioned second scheme and executes.
Specifically, any binomial is exceeded more than 5% in such as key item and general term, and user's body-sensing superscalar data is more than
20%, then the output knot of data monitoring can be generated as basic data according to practical exceeded project and exceeded numerical value
Fruit.
Or it can also be judged jointly in conjunction with historical data.For example any binomial is exceeded super in key item and general term
Cross 5%, and continuous three days step counting data (be subject to daily last time) are exceeded more than 20%, then it can be according to practical exceeded
Project and exceeded numerical value generate the output result of data monitoring as basic data.
For do not meet generate data monitoring output result it is various exceeded, method through this embodiment is assert
For normal fluctuation in the reasonable scope.
The method of data monitoring provided in an embodiment of the present invention can divide according to collected user's sign data
Class, and it is different according to classification, the different standards that transfinites is provided.And with the auxiliary such as user's body-sensing data and/or current step counting data
Monitoring data is added in the Effective judgement standard of user's sign data monitoring, to confirm user's body exceeded in current test
It whether really abnormal levies data, is still only normal fluctuation caused by changing because of user because of actual conditions.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (2)
1. a kind of method of data monitoring, which is characterized in that the described method includes:
First user terminal obtains user's sign data of the first user, and user's sign data has attribute information, described
Attribute information includes the User ID of first user and the information of sign data project；
Classify to user's sign data；User's sign data packet includes crucial item data and general item data；Institute
State the data that key item data include blood pressure and blood viscosity；The general term data include the number of heart rate and blood oxygen saturation
According to；
The auxiliary monitoring data of the first user is obtained, the auxiliary monitoring data includes user's body sense data and/or current step counting
Data；
Server is sent by user's sign data and auxiliary monitoring data；
The server obtains user's sign parameter threshold of first user according to the User ID of first user；
The first exceeded ratio of each crucial item data is determined according to user's sign parameter threshold, also, determines each one
As item data the second exceeded ratio；
The server obtains user's body-sensing data threshold and/or step counting data according to the User ID of first user
Threshold value；
The exceeded ratio of third of the auxiliary monitoring data of each auxiliary monitored item is determined according to the auxiliary monitoring parameter threshold value
Rate；The data monitoring is generated based on the described first exceeded ratio, the second exceeded ratio and the exceeded ratio of the third
Export result；
Wherein, the output result that the data monitoring is generated based on the described first exceeded ratio and the second exceeded ratio
It specifically includes:
When the described first exceeded ratio of the crucial item data of the first quantity is more than first threshold, according to described more than the first threshold
User's sign data of value generates the output result of the data monitoring；
The quantity and the second exceeded ratio for being more than the crucial item data of second threshold when the described first exceeded ratio are more than the
It is more than described first according to the described first exceeded ratio when the sum of the quantity of the general item data of three threshold values reaches the second quantity
The crucial item data of threshold value and the second exceeded ratio are more than the general item data of the third threshold value, generate the data prison
The output result of control.
2. the method for data monitoring according to claim 1, which is characterized in that it is described based on the described first exceeded ratio and
The second exceeded ratio generates the output result of the data monitoring specifically:
The data monitoring is generated based on the described first exceeded ratio, the second exceeded ratio and the exceeded ratio of the third
Export result.
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| CN101918990B (en) * | 2008-01-21 | 2013-02-13 | 皇家飞利浦电子股份有限公司 | Controlling an alarm in a medical instrument |
| CN105631186A (en) * | 2014-11-07 | 2016-06-01 | 中国移动通信集团公司 | Sign data management method, device and system |
| CN105662356A (en) * | 2014-11-20 | 2016-06-15 | 中兴通讯股份有限公司 | Physiological physical sign monitoring method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB201101858D0 (en) * | 2011-02-03 | 2011-03-23 | Isansys Lifecare Ltd | Health monitoring |
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- 2016-09-28 CN CN201610855395.2A patent/CN106485063B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101918990B (en) * | 2008-01-21 | 2013-02-13 | 皇家飞利浦电子股份有限公司 | Controlling an alarm in a medical instrument |
| CN105631186A (en) * | 2014-11-07 | 2016-06-01 | 中国移动通信集团公司 | Sign data management method, device and system |
| CN105662356A (en) * | 2014-11-20 | 2016-06-15 | 中兴通讯股份有限公司 | Physiological physical sign monitoring method and device |
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