CN116417131B - Method and system for collecting home data and monitoring home data of pregnant and lying-in women in real time - Google Patents
Method and system for collecting home data and monitoring home data of pregnant and lying-in women in real time Download PDFInfo
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Abstract
The invention provides a home data acquisition and real-time monitoring method and system for pregnant and lying-in women, and belongs to the technical field of health data acquisition and monitoring. The method can be applied to a mobile terminal and a cloud intelligent medical platform and comprises a primary data input step, a data acquisition period generation step and a data acquisition reminding step of pregnant and lying-in women. And the target application program of the mobile terminal sends a communication request to the cloud intelligent medical seeking platform when detecting that the current input pregnant and lying-in woman state data is input for the first time. And when the second pregnant and lying-in woman state data is not input for the first time in the target application program, generating a second data acquisition period to remind the pregnant and lying-in woman to acquire data and input the target application program of the mobile terminal. According to the technical scheme, the phenomenon that the cloud server is possibly connected with multiple terminals simultaneously and concurrently to cause data downtime is avoided, meanwhile, the health data monitoring and acquisition requirements of the terminals can be responded timely, and the home health monitoring consciousness of pregnant and lying-in women in the group number is improved.
Description
Technical Field
The invention belongs to the technical field of health data acquisition and monitoring, and particularly relates to a home data acquisition and real-time monitoring method and system for pregnant and lying-in women.
Background
Medical monitoring equipment is household, medical places are transferred to families from a medical center, health self management is achieved for the families, and the medical monitoring equipment is a medical concept of modern 4P medicine (Preventive), predictive, individuation and participation (particope), so that ordinary people, especially special patients, including household old people, disabled people, chronic patients, pregnant and lying-in women and the like, can be provided with finer and safer individuation medical services.
Along with the popularization of encouraging the fertility policy, there are a large number of health monitoring and health guidance demands of pregnant and lying-in women that continue to increase, and the medical resource of synchronization forms a gap in supporting short term, therefore home medical monitoring and data acquisition become fine supplementary, mobile terminal internet's popularization and high in the clouds data system then provide convenience for this reason. After the physiological data of the user are detected through the sensor, the system automatically performs preliminary processing on the data, then the ZigBee communication technology is utilized to upload the data to the cloud to realize summarization, storage and analysis, and the system also transmits the analysis result to the mobile phone of the family of the user in real time through a network, so that independent, healthy, safe, convenient and continuous humanized health care service is provided for the user, the pressure of a hospital is relieved, and the low-cost medical development is promoted.
One problem with this is: a large amount of mobile terminals are simultaneously and concurrently connected to a cloud server in a short time, so that overload of data connection is easily caused to generate a data downtime event, the remote experience of a terminal patient is influenced, the patient is easily subjected to health anxiety, further, the remote guidance is subjected to an untrustworthy sense, on-site medical treatment is further relied on, and the medical resource tension degree of a hospital is increased. The cloud server further expands the data broadband or server resources, which increases the operation cost of the hospital.
Disclosure of Invention
In order to solve the technical problems, the invention provides a home data acquisition and real-time monitoring method and system for pregnant and lying-in women, and the method can be applied to a mobile terminal and a cloud intelligent medical platform and comprises a primary data input step, a data acquisition period generation step and a data acquisition reminding step for the pregnant and lying-in women. And the target application program of the mobile terminal sends a communication request to the cloud intelligent medical seeking platform when detecting that the current input pregnant and lying-in woman state data is input for the first time. And when the second pregnant and lying-in woman state data is not input for the first time in the target application program, generating a second data acquisition period to remind the pregnant and lying-in woman to acquire data and input the target application program of the mobile terminal.
In a first aspect of the invention, a method for acquiring and monitoring home data of pregnant and lying-in women in real time is provided, and the method is applied to a mobile terminal.
The method comprises the following steps:
primary entering of maternal and maternal data: the method comprises the steps of firstly inputting maternal state data in a target application program of a mobile terminal;
the mobile terminal comprises an image scanning component;
in the primary inputting step of the maternal and pregnant woman data, a target application program of the mobile terminal calls the image scanning component to scan a first state data check list provided by the maternal and pregnant woman, so as to input the maternal and pregnant woman state data;
and a data acquisition period generation step: the method comprises the steps of determining a latest data acquisition period based on latest maternal state data currently received by a target application program;
if the latest pregnant and lying-in woman state data currently received by the target application program is first-time pregnant and lying-in woman state data which are firstly input in the target application program of the mobile terminal, the target application program acquires a first data acquisition period from the cloud intelligent medical seeking platform, and the first data acquisition period represents a time node of next data acquisition of a first grouping of pregnant and lying-in women; the first pregnant and lying-in women of the first grouping meet a first preset condition through first-time pregnant and lying-in women state data input for the first time in a target application program;
If the latest maternal state data currently received by the target application program is non-first maternal state data which are not first recorded in the target application program of the mobile terminal, the target application program generates a second data acquisition period based on the non-first maternal state data and the previous maternal state data of the non-first maternal state data, wherein the second data acquisition period is used for representing a time node for data acquisition next time of the current first maternal that is recorded in the non-first maternal state data.
A data acquisition reminding step: the target application program is used for reminding a pregnant and lying-in woman to acquire data and recording acquired state data of the pregnant and lying-in woman into the mobile terminal;
when a second pregnant and lying-in woman enters second pregnant and lying-in woman state data for the first time through a target application program of a second mobile terminal, the second mobile terminal sends the second pregnant and lying-in woman state data to the cloud intelligent medical seeking platform, and the cloud intelligent medical seeking platform determines a second group where the second pregnant and lying-in woman is located based on the second pregnant and lying-in woman state data;
the cloud intelligent medical seeking platform acquires a second data acquisition period corresponding to the second packet and sends the second data acquisition period to the second mobile terminal;
And when the second data acquisition period is reached, the second mobile terminal reminds the pregnant and lying-in women to acquire data and inputs the acquired pregnant and lying-in women state data into the target application program of the mobile terminal.
The target application program can be communicated with a cloud intelligent medical seeking platform;
the cloud intelligent medical seeking platform can be communicated with a plurality of different mobile terminals, gathers pregnant and lying-in woman state data which are firstly input by target application programs of the different mobile terminals, and carries out grouping state monitoring on a plurality of different pregnant and lying-in women corresponding to the different mobile terminals based on the gathered pregnant and lying-in woman state data which are firstly input by the target application programs of the different mobile terminals.
A target application program of the mobile terminal is internally provided with a pregnant and lying-in woman state data trend analysis model;
the data acquisition reminding step reminds the pregnant and lying-in women to acquire data and records acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal, and the method specifically comprises the following steps:
when the second pregnant and lying-in women enter second pregnant and lying-in women state data for the first time through a target application program of a second mobile terminal, the target application program takes the second pregnant and lying-in women state data which are not entered for the first time as input of a pregnant and lying-in women state data trend analysis model, and a second data acquisition period is generated;
And when the second data acquisition period is reached, the second mobile terminal reminds the pregnant and lying-in women to acquire data and inputs the acquired pregnant and lying-in women state data into the target application program of the mobile terminal.
In a second aspect of the invention, a home data acquisition and real-time monitoring method for pregnant and lying-in women is provided, the method is applied to a cloud intelligent medical platform, the cloud intelligent medical platform can communicate with a plurality of mobile terminals, and each mobile terminal is internally provided with a target application program;
the method comprises the following steps:
when the cloud intelligent medical seeking platform receives a first communication request sent by the mobile terminal through the target application program, judging whether a first user parameter corresponding to the first communication request exists in a user database of the cloud intelligent medical seeking platform;
when the judgment result is negative, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish a first communication connection based on a first communication request, the first user parameter is added to the user database, and the target application program of the mobile terminal sends pregnant and lying-in woman state data to the cloud intelligent medical seeking platform through the first communication connection;
The cloud intelligent medical seeking platform determines a third group of the current pregnant and lying-in women based on the state data of the pregnant and lying-in women, and sends a third data acquisition period corresponding to the third group to the mobile terminal;
when the third data acquisition period is reached, the mobile terminal reminds the current pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal;
the third data acquisition period represents a time node of the next data acquisition of the pregnant and lying-in women of the third group; the first maternal state data of the third grouping meet a first preset condition through the first input maternal state data in the target application program;
when the judgment result is yes, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish second communication connection based on a first communication request, and the cloud intelligent medical seeking platform acquires whether a pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated based on the second communication connection;
when the cloud intelligent medical seeking platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated, the cloud intelligent medical seeking platform disconnects the second communication connection after updating the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal.
And when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal does not need to be updated, the second communication connection is disconnected.
In a third aspect of the present invention, a system for collecting and monitoring home data of a pregnant and lying-in woman in real time is provided, wherein the system comprises a cloud intelligent medical platform and at least one mobile terminal, and is used for realizing the home data collecting and real-time monitoring method of the pregnant and lying-in woman in the first or second aspect.
Specifically, the mobile terminal is provided with a target application program, and a pregnant and lying-in woman state data trend analysis model is arranged in the target application program;
the pregnant and lying-in women enter the state data of the pregnant and lying-in women under the guidance of the target application program of the mobile terminal;
when the target application program of the mobile terminal detects that the current input pregnant and lying-in woman state data is input for the first time, a first communication connection can be established with the cloud intelligent medical seeking platform;
based on a first communication connection, the target application program of the mobile terminal sends maternal state data to the cloud intelligent medical seeking platform, the cloud intelligent medical seeking platform determines a third group of a current maternal and lying-in woman based on maternal state data, and sends a third data acquisition period corresponding to the third group to the mobile terminal;
When the third data acquisition period is reached, the mobile terminal reminds the current pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal;
the third data acquisition period represents a time node of the next data acquisition of the pregnant and lying-in women of the third group; the first maternal state data of the third grouping meet a first preset condition through the first input maternal state data in the target application program;
when the target application program of the mobile terminal detects that the current input pregnant and lying-in woman state data is not input for the first time, a second communication connection can be established with the cloud intelligent medical seeking platform;
the cloud intelligent medical seeking platform acquires whether a pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated or not based on the second communication connection;
when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated, the cloud intelligent medical platform disconnects the second communication connection after updating the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal;
And when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal does not need to be updated, the second communication connection is disconnected.
In a fourth aspect of the present invention, there is provided a computer readable storage medium storing at least one instruction for execution by a processor to implement all or part of the steps of the maternal home data acquisition and real time monitoring method of the first or second aspect.
According to the technical scheme, the phenomenon that the cloud server is possibly connected with multiple terminals simultaneously and concurrently to cause data downtime is avoided, meanwhile, the health data monitoring and acquisition requirements of the terminals can be responded timely, and the home health monitoring consciousness of pregnant and lying-in women in the group number is improved.
Further advantages of the invention will be further elaborated in the description section of the embodiments in connection with the drawings.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a main flow chart of a method for acquiring and monitoring home data of a pregnant and lying-in woman in real time, which is applied to a mobile terminal according to an embodiment of the invention
Fig. 2 is a schematic view of a real-time monitoring scenario for home data acquisition of pregnant and lying-in women according to the present invention
Fig. 3 is a main flow chart of a method for acquiring home data and monitoring home data of pregnant and lying-in women applied to cloud intelligent medical platform
FIG. 4 is a schematic workflow diagram of a maternal home data acquisition and real-time monitoring system implementing one embodiment of the present invention
Detailed Description
The present invention will be described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Referring to fig. 1, fig. 1 is a main flow chart of a maternal home data acquisition and real-time monitoring method applied to a mobile terminal according to an embodiment of the present invention.
Although the method of fig. 1 is described as standing on the patient side (the mobile terminal side held by the pregnant and parturient women), it will be appreciated that the method is in fact interactively implemented by the cloud wisdom seeking platform in communicating with a plurality of different mobile terminals.
The method shown in fig. 1 comprises a primary recording step of maternal and pregnant woman data, a data acquisition period generating step and a data acquisition reminding step.
The first inputting step of the maternal and lying-in woman data is used for inputting maternal and lying-in woman state data for the first time in a target application program of the mobile terminal;
in particular, in one particular embodiment, the mobile terminal includes an image scanning component;
in the primary entering step of the maternal and maternal data, the target application program of the mobile terminal invokes the image scanning assembly to scan a first state data check list provided by the maternal and maternal, so as to enter the maternal and maternal state data.
In the embodiment of the invention, the first maternal state data input for the first time of the maternal birth test (pregnancy test) is completed through the on-site test of a hospital.
It will be appreciated that the first time delivery (pregnancy) requires the patient to be in a hospital to create a file (profile), and the first time examination is performed to obtain a first examination data sheet, in this embodiment referred to as a first status data examination sheet, in which basic information of the patient, such as time of conception, name of the conception taker, age, weight, blood type, allergy history, disease history, etc., is recorded.
To avoid the first basic information input error of the patient, the first improvement of the embodiment is that the mobile terminal comprises an image scanning component; in the primary entering step of the maternal and maternal data, the target application program of the mobile terminal invokes the image scanning assembly to scan a first state data check list provided by the maternal and maternal, so as to enter the maternal and maternal state data.
It can be seen that the first-time input data is obtained by the mobile terminal through the image scanning assembly scanning the first-time state data inspection sheet, so that errors possibly caused by manual input are avoided; meanwhile, the number of the background cloud servers which are concurrently connected when a large number of local mobile terminals are simultaneously logged in is also avoided through a local scanning mode instead of a mode of logging in the background cloud servers to obtain.
The data acquisition period generation step is used for determining the latest data acquisition period based on the latest maternal state data currently received by the target application program;
as a further specific technical means, the data acquisition period generating step determines the latest data acquisition period based on the latest maternal state data currently received by the target application program, specifically including two cases:
case one: the latest maternal state data currently received by the target application program is first maternal state data which are firstly input in the target application program of the mobile terminal;
and a second case: the latest maternal state data currently received by the target application program is non-first maternal state data which are not first recorded in the target application program of the mobile terminal.
In a first case, if the latest maternal and maternal state data currently received by the target application program is first maternal and maternal state data firstly input in the target application program of the mobile terminal, the target application program acquires a first data acquisition period from the cloud intelligent medical seeking platform, wherein the first data acquisition period represents a time node of next data acquisition of a first group of maternal and maternal women; the first pregnant and lying-in women of the first grouping meet a first preset condition through first-time pregnant and lying-in women state data input for the first time in a target application program;
as a specific embodiment, the first maternal state data meets a first preset condition, which may be: conception time and age are the same or similar; the allergic history and blood type of the pregnant women are the same; the production time of puerpera is the same. The specific preset conditions employed may be selected or set based on experience.
It can be seen that, by means of grouping, when the data input by a pregnant and lying-in woman falls into a known grouping for the first time, the first data acquisition period of the known grouping can be directly adopted, and complex data analysis or operation is not required each time, so that the data transmission quantity is reduced, and the data downtime is avoided;
In a second case, if the latest maternal state data currently received by the target application program is non-first maternal state data which is not first recorded in the target application program of the mobile terminal, the target application program generates a second data acquisition period based on the non-first maternal state data and previous maternal state data of the non-first maternal state data, wherein the second data acquisition period is used for representing a time node of the next data acquisition of the current first maternal that is recorded in the non-first maternal state data.
It can be seen that only in a few cases, the mobile terminal needs to connect to the cloud intelligent medical platform (i.e. the cloud server) during the data acquisition period, and in a few cases, the mobile terminal does not need to connect to the cloud intelligent medical platform (i.e. the cloud server) during the data acquisition period, but can be generated locally.
Therefore, the improvement of the embodiment can avoid the phenomenon of data downtime possibly caused by the simultaneous concurrent connection of multiple terminals to the cloud server under most conditions, and can timely respond to the health data monitoring and acquisition requirements of the terminals.
As a further realization of the advantages, the target application program of the mobile terminal is internally provided with a maternal state data trend analysis model;
the data acquisition reminding step reminds the pregnant and lying-in women to acquire data and records acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal, and the method specifically comprises the following steps:
when the second pregnant and lying-in women enter second pregnant and lying-in women state data for the first time through a target application program of a second mobile terminal, the target application program takes the second pregnant and lying-in women state data which are not entered for the first time as input of a pregnant and lying-in women state data trend analysis model, and a second data acquisition period is generated;
and when the second data acquisition period is reached, the second mobile terminal reminds the pregnant and lying-in women to acquire data and inputs the acquired pregnant and lying-in women state data into the target application program of the mobile terminal.
The maternal state data trend analysis model may employ various known analysis models including neural network models based on historical data learning, deep learning models based on self-learning feedback, time trend models based on historical data fitting, gray series prediction models, and the like.
For example, the literature (Wang Moping, liu Yanping) shows a grey number series prediction model for predicting the occurrence rate of a pregnant and lying-in woman [ J ]. J.J. 2015,32 (06): 445-447), which is a grey number series prediction model for predicting the high risk value of a pregnant and lying-in woman, so as to remind the pregnant and lying-in woman.
As a specific model input/output example, the model may be a neural network model, which inputs second maternal state data including a current time point, a maternal previous data acquisition time point, and maternal age, and outputs as a maternal next data acquisition time point;
as still another specific model input/output example, the model may be a time trend model fitted with historical data, which is input as third maternal state data including a current time point, a time point of previous data acquisition of maternal and a weight sequence value monitored daily by the maternal after the previous data acquisition, and output as a time point (i.e. a next time data acquisition time point) when the next weight monitoring value of the maternal reaches a preset value;
of course, other predictors, such as blood pressure, fetal movement, etc., may be used in addition to body weight. The embodiment does not develop this as long as the corresponding time alert node can be generated.
Next, the data acquisition reminding step reminds the pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal, and the method specifically comprises the following steps:
when a second pregnant and lying-in woman enters second pregnant and lying-in woman state data for the first time through a target application program of a second mobile terminal, the second mobile terminal sends the second pregnant and lying-in woman state data to the cloud intelligent medical seeking platform, and the cloud intelligent medical seeking platform determines a second group where the second pregnant and lying-in woman is located based on the second pregnant and lying-in woman state data;
the cloud intelligent medical seeking platform acquires a second data acquisition period corresponding to the second packet and sends the second data acquisition period to the second mobile terminal;
and when the second data acquisition period is reached, the second mobile terminal reminds the pregnant and lying-in women to acquire data and inputs the acquired pregnant and lying-in women state data into the target application program of the mobile terminal.
As a further preferred embodiment, in the embodiment of fig. 1, the target application program of the mobile terminal sends a communication request to the cloud smart doctor-seeing platform only when detecting that the current input maternal state data is the first input, and specifically, the target application program of the mobile terminal sends a data uplink transmission communication request to the cloud smart doctor-seeing platform only when detecting that the current input maternal state data is the first input.
Fig. 2 is a schematic diagram of a scenario of home data acquisition and real-time monitoring of pregnant and lying-in women. In fig. 2, a plurality of mobile terminals a, B and C, which are provided with target application programs (such as a maternal health management APP), perform bidirectional or unidirectional data communication with a cloud intelligent medical platform (i.e. a cloud server) through a wireless network, and implement home data acquisition and real-time monitoring of maternal based on the method described in fig. 1.
Based on the hardware architecture of fig. 2, fig. 3 shows a main flow chart of a maternal home data acquisition and real-time monitoring method applied to a cloud smart hospitalizing platform according to another embodiment of the present invention from the perspective of a cloud server.
In fig. 3, the method comprises:
when the cloud intelligent medical seeking platform receives a first communication request sent by the mobile terminal through the target application program, judging whether a first user parameter corresponding to the first communication request exists in a user database of the cloud intelligent medical seeking platform;
when the judgment result is negative, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish a first communication connection based on a first communication request, the first user parameter is added to the user database, and the target application program of the mobile terminal sends pregnant and lying-in woman state data to the cloud intelligent medical seeking platform through the first communication connection;
It can be seen that the first communication connection is a data uplink transmission communication request;
the cloud intelligent medical seeking platform determines a third group of the current pregnant and lying-in women based on the state data of the pregnant and lying-in women, and sends a third data acquisition period corresponding to the third group to the mobile terminal;
when the third data acquisition period is reached, the mobile terminal reminds the current pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal;
the third data acquisition period represents a time node of the next data acquisition of the pregnant and lying-in women of the third group; the first maternal state data of the third grouping meet a first preset condition through the first input maternal state data in the target application program;
when the judgment result is yes, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish second communication connection based on a first communication request, and the cloud intelligent medical seeking platform acquires whether a pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated based on the second communication connection;
it can be seen that the second communication connection is a data downlink transmission request;
When the cloud intelligent medical seeking platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated, the cloud intelligent medical seeking platform disconnects the second communication connection after updating the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal.
In another aspect, when the cloud intelligent medical platform determines that the maternal state data trend analysis model built in the target application program of the mobile terminal does not need to be updated, the second communication connection is disconnected.
As a further preferred aspect, to avoid wasting resources of the cloud server, when there is only a small amount of first communication request or second communication request, the method in fig. 3 is further implemented as follows:
when the cloud intelligent medical seeking platform receives a first communication request sent by the mobile terminal through the target application program, acquiring a first quantity FirNum of first communication requests and a second quantity SecNum of second communication requests which are established currently by the cloud intelligent medical seeking platform;
judgingWhether or not to establish;
wherein alpha and beta are preset uplink weights and downlink weights respectively; α, β e (0, 1), α+β=1;
UpV is the data uplink rate limit of the cloud intelligent medical platform, down is the data downlink rate limit of the cloud intelligent medical platform, V up The historical average data uplink transmission rate of the first communication request; vdown is the historical average data downlink transmission rate of the second communication request; kr=min { FirNum, secNum }; min { } represents taking the smallest value of the plurality of values.
If yes, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish a first communication connection based on a first communication request;
if not, judging whether the first user parameter corresponding to the first communication request exists in a user database of the cloud intelligent medical seeking platform;
when the judgment result is negative, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish a first communication connection based on a first communication request, the first user parameter is added to the user database, and the target application program of the mobile terminal sends pregnant and lying-in woman state data to the cloud intelligent medical seeking platform through the first communication connection;
the subsequent flow is the same as the existing flow of fig. 3.
It can be seen that in the above improved embodiment, if the first number of FirNum of the first communication requests that are currently established and the second number of SecNum of the second communication requests that are already established by the cloud smart doctor-seeing platform meet the above conditions, it means that there is a free resource of the current uplink connection or downlink connection, and in this case, in order to avoid resource waste, the connection request may be directly responded without distinguishing whether it is the first connection or not.
In order to implement the principles or methods of fig. 1-3, the embodiment of the invention further comprises a home data acquisition and real-time monitoring system for pregnant and lying-in women, wherein the system comprises a cloud intelligent medical platform and at least one mobile terminal. The mobile terminal is provided with a target application program, and a pregnant and lying-in woman state data trend analysis model is arranged in the target application program.
Fig. 4 shows a schematic workflow of a home data acquisition and real-time monitoring system for pregnant and parturients according to the embodiment
Firstly, under the guidance of the target application program of the mobile terminal, the state data of the pregnant and lying-in women are input;
when the target application program of the mobile terminal detects that the current input pregnant and lying-in woman state data is input for the first time, a first communication connection can be established with the cloud intelligent medical seeking platform;
Based on a first communication connection, the target application program of the mobile terminal sends maternal state data to the cloud intelligent medical seeking platform, the cloud intelligent medical seeking platform determines a third group of a current maternal and lying-in woman based on maternal state data, and sends a third data acquisition period corresponding to the third group to the mobile terminal;
when the third data acquisition period is reached, the mobile terminal reminds the current pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal;
the third data acquisition period represents a time node of the next data acquisition of the pregnant and lying-in women of the third group; the first maternal state data of the third grouping meet a first preset condition through the first input maternal state data in the target application program;
when the target application program of the mobile terminal detects that the current input pregnant and lying-in woman state data is not input for the first time, a second communication connection can be established with the cloud intelligent medical seeking platform;
the cloud intelligent medical seeking platform acquires whether a pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated or not based on the second communication connection; when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated, the cloud intelligent medical platform disconnects the second communication connection after updating the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal;
And when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal does not need to be updated, the second communication connection is disconnected.
The method or principle steps of fig. 1-3 may be performed automatically by an electronic device, server or other terminal in the form of computer program instructions. An electronic device, server, or other terminal includes a variety of computer system readable media. Such media can be any available media that can be accessed by the electronic device, server, or other terminal and includes both volatile and nonvolatile media, removable and non-removable media.
Accordingly, further embodiments of the present invention also include a computer readable storage medium having stored thereon at least one instruction for execution by a processor to implement a maternal home data acquisition and real-time monitoring method as described in fig. 1.
The storage device may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory, RAM, and/or cache memory), the terminal may further include other removable/non-removable, volatile/nonvolatile computer system storage media, by way of example only, the storage system may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in fig. 4, commonly referred to as a "hard disk drive"). The storage device may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of embodiments of the invention.
It can be seen that, in the embodiment of the present invention, when the target application program of the mobile terminal detects that the current input maternal state data is the first input, the target application program sends a communication request to the cloud intelligent medical seeking platform. And when the second pregnant and lying-in woman state data is not input for the first time in the target application program, generating a second data acquisition period to remind the pregnant and lying-in woman to acquire data and input the target application program of the mobile terminal. According to the technical scheme, the phenomenon that the cloud server is possibly connected with multiple terminals simultaneously and concurrently to cause data downtime is avoided, meanwhile, the health data monitoring and acquisition requirements of the terminals can be responded timely, and the home health monitoring consciousness of pregnant and lying-in women in the group number is improved.
In addition, in order to avoid the resource waste of the cloud server, when only a small amount of first communication requests or second communication requests are needed, whether the first connection or the non-first connection is needed is not distinguished, and the connection requests can be directly responded.
In the various embodiments of the present invention, the embodiments of the present invention have been shown and described, but it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principle and spirit of the present invention, the scope of which is defined by the appended claims and their equivalents.
Furthermore, while some of the exemplary embodiments described above are described as processes or methods depicted as flowcharts. Although a flowchart depicts steps as a sequential process, many of the steps may be implemented in parallel, concurrently, or with other steps. Furthermore, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Furthermore, the terms "first," "second," and the like, may be used herein to describe various directions, acts, steps, or elements, etc., but these directions, acts, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. The terms "first," "second," and the like, are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, the meaning of "plurality" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Claims (9)
1. The home data acquisition and real-time monitoring method for the pregnant and lying-in women is applied to a mobile terminal and is characterized by comprising the following steps:
primary entering of maternal and maternal data: the method comprises the steps of firstly inputting maternal state data in a target application program of a mobile terminal;
and a data acquisition period generation step: the method comprises the steps of determining a latest data acquisition period based on latest maternal state data currently received by a target application program;
a data acquisition reminding step: the target application program is used for reminding a pregnant and lying-in woman to acquire data and recording acquired state data of the pregnant and lying-in woman into the mobile terminal;
the target application program can be communicated with a cloud intelligent medical seeking platform;
the cloud intelligent medical seeking platform can be communicated with a plurality of different mobile terminals, gathers pregnant and lying-in woman state data which are firstly input by target application programs of the different mobile terminals, and carries out grouping state monitoring on a plurality of different pregnant and lying-in women corresponding to the different mobile terminals based on the gathered pregnant and lying-in woman state data which are firstly input by the target application programs of the different mobile terminals; the data acquisition period generating step determines the latest data acquisition period based on the latest maternal state data currently received by the target application program, and specifically comprises the following steps:
If the latest pregnant and lying-in woman state data currently received by the target application program is first-time pregnant and lying-in woman state data which are firstly input in the target application program of the mobile terminal, the target application program acquires a first data acquisition period from the cloud intelligent medical seeking platform, and the first data acquisition period represents a time node of next data acquisition of a first grouping of pregnant and lying-in women; the first pregnant and lying-in women of the first grouping meet a first preset condition through first-time pregnant and lying-in women state data input for the first time in a target application program;
if the latest maternal state data currently received by the target application program is non-first maternal state data which are not first recorded in the target application program of the mobile terminal, the target application program generates a second data acquisition period based on the non-first maternal state data and the previous maternal state data of the non-first maternal state data, wherein the second data acquisition period is used for representing a time node for data acquisition next time of the current first maternal that is recorded in the non-first maternal state data.
2. The method for acquiring and monitoring home data of pregnant and lying-in women in real time as claimed in claim 1, wherein the method comprises the following steps:
The mobile terminal comprises an image scanning component;
in the primary entering step of the maternal and maternal data, the target application program of the mobile terminal invokes the image scanning assembly to scan a first state data check list provided by the maternal and maternal, so as to enter the maternal and maternal state data.
3. The method for acquiring and monitoring home data of pregnant and lying-in women in real time as claimed in claim 1, wherein the method comprises the following steps:
the data acquisition reminding step reminds the pregnant and lying-in women to acquire data and records acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal, and the method specifically comprises the following steps:
when a second pregnant and lying-in woman enters second pregnant and lying-in woman state data for the first time through a target application program of a second mobile terminal, the second mobile terminal sends the second pregnant and lying-in woman state data to the cloud intelligent medical seeking platform, and the cloud intelligent medical seeking platform determines a second group where the second pregnant and lying-in woman is located based on the second pregnant and lying-in woman state data;
the cloud intelligent medical seeking platform acquires a second data acquisition period corresponding to the second packet and sends the second data acquisition period to the second mobile terminal;
and when the second data acquisition period is reached, the second mobile terminal reminds the pregnant and lying-in women to acquire data and inputs the acquired pregnant and lying-in women state data into the target application program of the mobile terminal.
4. The method for acquiring and monitoring home data of pregnant and lying-in women in real time as claimed in claim 1, wherein the method comprises the following steps:
a target application program of the mobile terminal is internally provided with a pregnant and lying-in woman state data trend analysis model;
the data acquisition reminding step reminds the pregnant and lying-in women to acquire data and records acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal, and the method specifically comprises the following steps:
when a second pregnant and lying-in woman enters second pregnant and lying-in woman state data for the first time through a target application program of a second mobile terminal, the target application program takes the second pregnant and lying-in woman state data which is not entered for the first time as input of a pregnant and lying-in woman state data trend analysis model, and a second data acquisition period is generated;
and when the second data acquisition period is reached, the second mobile terminal reminds the pregnant and lying-in women to acquire data and inputs the acquired pregnant and lying-in women state data into the target application program of the mobile terminal.
5. The method for acquiring and monitoring home data of pregnant and lying-in women in real time as claimed in claim 1, wherein the method comprises the following steps:
and the target application program of the mobile terminal sends a communication request to the cloud intelligent medical seeking platform when detecting that the current input pregnant and lying-in woman state data is input for the first time.
6. The method is applied to a cloud intelligent medical platform, the cloud intelligent medical platform can be communicated with a plurality of mobile terminals, and each mobile terminal is internally provided with a target application program, and the method is characterized by comprising the following steps:
when the cloud intelligent medical seeking platform receives a first communication request sent by the mobile terminal through the target application program, judging whether a first user parameter corresponding to the first communication request exists in a user database of the cloud intelligent medical seeking platform;
when the judgment result is negative, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish a first communication connection based on a first communication request, the first user parameter is added to the user database, and the target application program of the mobile terminal sends pregnant and lying-in woman state data to the cloud intelligent medical seeking platform through the first communication connection;
the cloud intelligent medical seeking platform determines a third group of the current pregnant and lying-in women based on the state data of the pregnant and lying-in women, and sends a third data acquisition period corresponding to the third group to the mobile terminal;
When the third data acquisition period is reached, the mobile terminal reminds the current pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal;
the third data acquisition period represents a time node of the next data acquisition of the pregnant and lying-in women of the third group; the first maternal state data of the third grouping meet a first preset condition through the first input maternal state data in the target application program;
when the judgment result is yes, the cloud intelligent medical seeking platform and the target application program of the mobile terminal establish second communication connection based on a first communication request, and the cloud intelligent medical seeking platform acquires whether a pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated based on the second communication connection;
when the cloud intelligent medical seeking platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated, the cloud intelligent medical seeking platform disconnects the second communication connection after updating the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal.
7. The method for acquiring and monitoring home data of pregnant and lying-in women in real time as claimed in claim 6, wherein:
and when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal does not need to be updated, the second communication connection is disconnected.
8. The utility model provides a pregnant and lying-in woman data acquisition and real-time supervision system at home, the system includes high in the clouds wisdom platform of seeking medical advice and at least one mobile terminal, its characterized in that:
the mobile terminal is provided with a target application program, and a pregnant and lying-in woman state data trend analysis model is arranged in the target application program;
the pregnant and lying-in women enter the state data of the pregnant and lying-in women under the guidance of the target application program of the mobile terminal;
when the target application program of the mobile terminal detects that the current input pregnant and lying-in woman state data is input for the first time, a first communication connection can be established with the cloud intelligent medical seeking platform;
based on a first communication connection, the target application program of the mobile terminal sends maternal state data to the cloud intelligent medical seeking platform, the cloud intelligent medical seeking platform determines a third group of a current maternal and lying-in woman based on maternal state data, and sends a third data acquisition period corresponding to the third group to the mobile terminal;
When the third data acquisition period is reached, the mobile terminal reminds the current pregnant and lying-in women to acquire data and inputs acquired state data of the pregnant and lying-in women into the target application program of the mobile terminal;
the third data acquisition period represents a time node of the next data acquisition of the pregnant and lying-in women of the third group; the first maternal state data of the third grouping meet a first preset condition through the first input maternal state data in the target application program;
when the target application program of the mobile terminal detects that the current input pregnant and lying-in woman state data is not input for the first time, a second communication connection can be established with the cloud intelligent medical seeking platform;
the cloud intelligent medical seeking platform acquires whether a pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated or not based on the second communication connection;
when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal needs to be updated, the cloud intelligent medical platform disconnects the second communication connection after updating the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal;
And when the cloud intelligent medical platform judges that the pregnant and lying-in woman state data trend analysis model built in the target application program of the mobile terminal does not need to be updated, the second communication connection is disconnected.
9. A computer readable storage medium storing at least one instruction for execution by a processor to implement a maternal home data acquisition and real time monitoring method according to any one of claims 1 to 7.
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