CN106485083B - Home user sign data monitoring method - Google Patents
Home user sign data monitoring method Download PDFInfo
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- CN106485083B CN106485083B CN201610907715.4A CN201610907715A CN106485083B CN 106485083 B CN106485083 B CN 106485083B CN 201610907715 A CN201610907715 A CN 201610907715A CN 106485083 B CN106485083 B CN 106485083B
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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
- G16H50/70—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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- 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
Abstract
The embodiment of the invention relates to a method for monitoring physical sign data of a home user, which comprises the following steps: acquiring a user ID of each user in a family group list in a user management database; acquiring user sign detection data from a user sign database according to the user ID of each user; the user sign detection data has time information; comparing and analyzing the user sign detection data of each user according to the time information, and determining a set of user sign detection data with commonalities in the same time period; generating customized suggestion information facing the family group list according to the set of the user sign detection data with commonality; and pushing the customized advice information according to the user ID included in the family group list.
Description
Technical Field
The invention relates to the technical field of communication, in particular to a method for monitoring physical sign data of a home user.
Background
With the development of the times and the improvement of the quality of life, health problems are more and more concerned by people. It is a common dream for everyone to have a healthy body.
According to the needs of users, the industry has developed applications capable of performing online physical examination for users, and the applications are widely popular among various groups of people. However, the processing of the collected physical examination data is only the analysis and determination of isolated data, and is not combined with other relevant factors for analysis. The detection result has very limited functions and can not provide more information for the user.
Disclosure of Invention
The invention aims to provide a method for monitoring the physical sign data of a family user, which aims at overcoming the defects of the prior art, tracks, counts and compares the physical sign data of each user in the same family, determines the physical sign data with commonalities, analyzes the data and generates analysis result information facing the family user according to the analysis result. The influence of relevant family factors is considered in the data analysis process, so that the analysis result is more targeted and more accurate.
In view of this, an embodiment of the present invention provides a method for monitoring family user sign data, including:
acquiring a user ID of each user in a family group list in a user management database;
acquiring user sign detection data from a user sign database according to the user ID of each user; the user sign detection data has time information;
comparing and analyzing the user sign detection data of each user according to the time information, and determining a set of user sign detection data with commonalities in the same time period;
generating customized suggestion information facing the family group list according to the set of the user sign detection data with commonality;
and pushing the customized advice information according to the user ID included in the family group list.
Preferably, the method further comprises:
a first user terminal receives user registration information input by a first user; the user registration information comprises first user information and a first family ID of a first user;
the first user terminal sends the user registration information to the server;
the server searches whether a family group list with the first family ID exists in a user management database according to the first family ID;
and when the family group list has the first family ID, adding the first user information into the family group list.
Preferably, the method further comprises:
a first user terminal receives new family group request information input by a first user;
acquiring user registration information receiving display data and generating a user registration information receiving display page;
receiving first user information and a newly-built family ID input by the first user;
the first user terminal sends the first user information and the newly-built family ID to the server;
and the server establishes a new family group list according to the newly-established family ID, adds the first user information into the family group list and stores the first user information in a user management database.
Preferably, the user physical sign detection data has attribute information, and the attribute information includes information of the corresponding user ID and physical sign data item.
Further preferably, the physical sign data items include: heart rate, blood pressure, blood oxygen saturation and blood viscosity.
Further preferably, the comparing and analyzing the user physical sign detection data of each user according to the time information, and determining a set of user physical sign detection data having commonalities in the same time period specifically includes:
sorting the user sign detection data of different sign data items of each user respectively according to the time information, and generating a plurality of user sign detection curves;
and comparing the user sign detection curves of the users based on the sign data items to obtain a set of user sign detection data with commonality in the same time period.
According to the method for monitoring the family user sign data, provided by the embodiment of the invention, the sign data of each user in the same family are tracked, counted and compared, the common sign data are determined, the data are analyzed, and analysis result information facing the family user is generated according to the analysis result. The influence of relevant family factors is considered in the data analysis process, so that the analysis result is more targeted and more accurate.
Drawings
Fig. 1 is a flowchart of a method for monitoring physical sign data of a home user according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for adding a user to a home group according to an embodiment of the present invention;
fig. 3 is a flowchart of a method for creating a new family group according to an embodiment of the present invention.
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
In general, we will naturally consider the food and environment within the home to be safer and cleaner than the social environment. Quite unknown, families also hide many hidden dangers which are easy to neglect and affect health. The family diseases are generated in families, and various aspects such as life style, psychological state, health concept, geographical environment and the like of the whole family can be factors for spreading the family diseases. Bad life style like bacteria and bad life habit are spread faster in families, and are unconscious, so that a family behavior is easily formed. For example, parents love sweets, snacks, and children may "inherit"; it is also a common 'behavioral infectious disease' to dislike exercise, stay up all night, etc. On the other hand, some bad life styles will not "infect", but will indirectly affect others. For example, if a father smokes the cigarette, even if the wife and the child do not smoke, the father will be hurt by the second-hand smoke, and the risk of suffering lung diseases is much higher than that of the family who does not smoke the cigarette. Bad emotions of the family can be infected. The mood pervasive in a household can also unknowingly affect a person's health. For example, some parents are very urgent and children are also difficult to avoid and influenced by the parents. And the blood pressure of the impatient person is easy to be high, so children, spouses and the like can suffer from hypertension. In addition, health concepts and local customs also become the direct cause of family diseases. In contrast, genetic diseases related to genes and family history have influence only in vertical families, and most of the genetic diseases can be screened and checked through marriage examinations. But the family diseases spread laterally without a distinct "attack" on family members and are therefore more harmful. Therefore, it is essential to maintain health to improve bad habits from every member of the family.
The method for monitoring the physical sign data of the family user is based on the factors, and the influence of the family factors with correlation is fully considered in the data analysis process by tracking and counting the physical sign detection data of the family members, so that the improvement suggestions for diet, exercise and daily life habits of the family members, which are provided according to the analysis result, are more targeted and accurate.
Fig. 1 is a flowchart of a method for monitoring family user physical sign data according to an embodiment of the present invention, as shown in fig. 1, including:
step 110, the server obtains the user ID of each user included in a family group list in the user management database;
specifically, in the user management database, user information and family group information, and a correspondence between a user and a family group are recorded. Wherein, the corresponding relation is recorded by a family group list mode.
The user information includes a user ID, and may further include information such as a name, a sex, an age, a occupation, a past medical history, and a lifestyle habit of the user. The home group information includes a home group ID.
The family group list records a correspondence between the user ID and the family group ID.
One user ID may correspond to a plurality of home group IDs, and similarly, one home group ID may correspond to a plurality of user IDs. However, in one family group list, the correspondence between one family group ID and a plurality of user IDs is recorded.
Step 120, obtaining user sign detection data from a user sign database according to the user ID of each user;
specifically, the user physical sign detection data has attribute information, and the attribute information includes information of a corresponding user ID and a physical sign data item. The user sign detection data also has time information for recording the test time of the sign detection data.
Further items of vital sign data may include heart rate, blood pressure, blood oxygen saturation and blood viscosity; these data can be acquired by a monitoring device of the user terminal, for example, by a camera of a smart phone and a corresponding processing chip, based on the pulse wave. And may also include data such as blood glucose, weight, height, etc. that may be recorded by the user manually entering the user terminal.
Step 130, comparing and analyzing the user sign detection data of each user according to the time information, and determining a set of user sign detection data having commonalities in the same time period;
specifically, the user sign detection data of different sign data items of each user can be sorted respectively according to the time information, and a plurality of user sign detection curves are generated; then, based on different sign data items, user sign detection curves of all users under each sign data item are compared respectively, and a set of user sign detection data with commonalities in the same time period is obtained.
Step 140, generating customized suggestion information facing the family group list according to the set of the user sign detection data with commonality;
specifically, after generating customized advice information for a family group list, the customized advice information is pushed according to a user ID included in one family group list. And pushing the customized suggestion information facing the family group list to a user terminal of a user corresponding to each user ID in the family group for displaying.
The customized advice information may specifically include improvement information in terms of reasonable diet, physical exercise, lifestyle habits, etc. analyzed from the set of user sign detection data for the family member at different time periods.
Further specifically, the customized advice information is generated based on user sign detection data of each user in the family group, and may be based on single data in the same time period, for example, blood pressure data of each user in the family group on the same day is higher than a normal upper limit, and may represent that each user in the family group is in an emotional state on the same day; or may be based on data of a period of time, such as a period of three days, a week or a month, a half year, etc., for example, it is detected that the blood pressure data of each user in the family group continuously rises during the period of time, which indicates that the abnormal blood pressure changes of each user in the family group are probably caused by the same factors. Taking the above two cases as examples, the customized health message may include an abnormal prompt message of the abnormal item and an adjustment suggestion related to the abnormal item. For example, the continuous rise of blood pressure can prompt each user in the family group to light diet, pay attention to reasonable exercise and the like.
The customized advice information can be generated automatically based on the analysis data after analyzing the user sign detection data and the user information of each user in the family group through the server; or the server sends the user physical sign detection data and the user information to a user terminal of a specific user for display, and then receives the input of the specific user according to the user physical sign detection data and the user information in the family group.
And 150, the user terminal receives the customized suggestion information and displays the customized suggestion information.
Specifically, each user in the family group may receive the customized advice information through its own user terminal.
The customized advice information may specifically include text information, or may include information in which the text information is combined with one or both of chart information and trend information.
The customized advice information is displayed in a visual or audio-visual display mode. The display can be performed in a default display mode in the user terminal, or can be performed according to the requirements set by the user.
Through the process, the method for monitoring the family user sign data provided by the embodiment of the invention is realized, common sign data is determined by tracking, counting and comparing the sign data of each user in the same family, the data is analyzed, and analysis result information facing the family user is generated according to the analysis result. The influence of relevant family factors is considered in the data analysis process, so that the analysis result is more targeted and more accurate.
In addition, the embodiment of the invention also provides a method for adding users in the family group and a method for creating the new family group, which are introduced below.
First, a method of adding a user to a home group will be described:
if a new user is added to the existing group, the process may be as shown in fig. 2, including the following steps:
the user registration information includes first user information and a first home ID of the first user.
in step 240, when the family group list has the first family ID, the first user information is added to the family group list.
And step 250, generating error prompt information to be returned to the first user terminal for displaying when the family group list does not have the first family ID.
The user can be prompted that the family ID input by the user does not exist through the error prompt message, and the user cannot join the group.
Through the above process, a process of adding users in a family group is realized.
Next, a method for creating a new family group is described:
if a user creates a new family group while registering, the process can be as shown in fig. 3, which includes the following steps:
in step 350, the server will create a new family group list according to the new family ID, and add the first user information to the family group list, and store it in the user management database.
Through the process, the process of building the family group is realized.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A method for monitoring family user sign data is characterized by comprising the following steps:
acquiring a user ID of each user in a family group list in a user management database;
acquiring user sign detection data from a user sign database according to the user ID of each user; the user sign detection data has time information;
comparing and analyzing the user sign detection data of each user according to the time information, and determining a set of user sign detection data with commonalities in the same time period;
generating customized suggestion information facing the family group list according to the set of the user sign detection data with commonality;
pushing the customized advice information according to the user ID included in the one family group list;
the customized suggestion information is generated based on user physical sign detection data of each user in a family group;
when data are detected based on single user sign in the same time period, if blood pressure data of each user in a family group on the day are higher than a normal upper limit, judging that each user in the family group is in an emotional excited state on the day;
when data are detected based on the user physical signs in a period of time, if the blood pressure data of all users in a family group are detected to continuously rise in the period of time, the abnormal change of the blood pressure of all users in the family group is judged to be caused by the same factors.
2. The method for monitoring family user vital signs data of claim 1, further comprising:
a first user terminal receives user registration information input by a first user; the user registration information comprises first user information and a first family ID of a first user;
the first user terminal sends the user registration information to a server;
the server searches whether a family group list with the first family ID exists in a user management database according to the first family ID;
and when the family group list has the first family ID, adding the first user information into the family group list.
3. The method for monitoring family user vital signs data of claim 1, further comprising:
a first user terminal receives new family group request information input by a first user;
acquiring user registration information receiving display data and generating a user registration information receiving display page;
receiving first user information and a newly-built family ID input by the first user;
the first user terminal sends the first user information and the newly-built family ID to a server;
and the server establishes a new family group list according to the newly-established family ID, adds the first user information into the family group list and stores the first user information in a user management database.
4. The method for monitoring family user physical sign data according to claim 1, wherein the user physical sign detection data has attribute information, and the attribute information includes information of the corresponding user ID and physical sign data item.
5. The method for monitoring family user vital signs data according to claim 4, wherein the vital signs data items comprise: heart rate, blood pressure, blood oxygen saturation and blood viscosity.
6. The method for monitoring family user physical sign data according to claim 4 or 5, wherein the comparing and analyzing the user physical sign detection data of each user according to time information, and determining a set of user physical sign detection data having commonalities in the same time period specifically includes:
sorting the user sign detection data of different sign data items of each user respectively according to the time information, and generating a plurality of user sign detection curves;
and comparing the user sign detection curves of the users based on the sign data items to obtain a set of user sign detection data with commonality in the same time period.
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| CN108538392A (en) * | 2018-04-23 | 2018-09-14 | 京东方科技集团股份有限公司 | A kind of information processing method and system |
| CN109935324A (en) * | 2019-01-31 | 2019-06-25 | 北京汉博信息技术有限公司 | A kind of sign data monitoring method and terminal |
| CN112037902A (en) * | 2020-08-26 | 2020-12-04 | 福建省万物智联科技有限公司 | Information management device and mobile terminal |
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