CN114724663A - Blood pressure management method and system - Google Patents
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Abstract
The invention discloses a blood pressure management method and system, and relates to the technical field of health management. The method comprises the following steps: acquiring first blood pressure data of a user acquired through a finger-type sphygmomanometer according to a preset acquisition period; acquiring second blood pressure data of the user acquired by the upper arm type pressure sphygmomanometer according to a preset acquisition period; leading the first blood pressure data and the second blood pressure data of the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, generating and sending blood pressure optimization information to a finger type sphygmomanometer and an upper arm type pressurization sphygmomanometer; and uploading the first blood pressure data, the second blood pressure data and the blood pressure optimization information to a terminal APP. The invention combines comprehensive data to accurately and effectively manage and analyze the blood pressure condition of the user.
Description
Technical Field
The invention relates to the technical field of health management, in particular to a blood pressure management method and system.
Background
Cardiovascular disease is a disease that affects the heart, blood vessels, or both, and one of the most common causes of cardiovascular disease is hypertension. Hypertension is a chronic disease that seriously affects health, and the number of hypertensive patients increases year by year with changes in living conditions and tends to be younger. In the prior art, hypertension is often judged by a sphygmomanometer. The blood pressure score is mercury sphygmomanometer, electronic sphygmomanometer, and these sphygmomanometers generally all can only realize single blood pressure and measure, and the user of being not convenient for carries, can't be anytime and anywhere carry out accurate measurement and obtain data such as long-range continuous blood pressure, blood oxygen and rhythm of the heart, and then lead to can't carrying out accurate effectual understanding analysis to user's individual blood pressure variation condition.
Disclosure of Invention
In order to overcome the above problems or at least partially solve the above problems, embodiments of the present invention provide a method and a system for managing blood pressure, which combine comprehensive data to perform accurate and effective management analysis on a blood pressure condition of a user.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present invention provides a blood pressure management method, including the following steps:
acquiring first blood pressure data of a user acquired through a finger-type sphygmomanometer according to a preset acquisition period;
acquiring second blood pressure data of the user acquired by the upper arm type pressure sphygmomanometer according to a preset acquisition period;
leading the first blood pressure data and the second blood pressure data of the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, generating and sending blood pressure optimization information to a finger type sphygmomanometer and an upper arm type pressurization sphygmomanometer;
and uploading the first blood pressure data, the second blood pressure data and the blood pressure optimization information to a terminal APP.
In order to solve the technical problem that accurate measurement and acquisition of data such as long-range continuous blood pressure, blood oxygen, heart rate and the like cannot be performed anytime and anywhere in the prior art, so that accurate and effective understanding and analysis of the blood pressure change condition of a user cannot be performed, the invention combines a plurality of different blood pressure detection devices to simultaneously detect the blood pressure condition of the user at different moments, combines a plurality of data to analyze the blood pressure data of the user at the same moment acquired by different equipment by adopting a preset artificial intelligent blood pressure analysis model, generates a comparison analysis result, compares and adjusts the blood pressure data of the user acquired by the different equipment in the same time period to further obtain reasonable blood pressure optimization information, sends the reasonable blood pressure optimization information to corresponding finger type sphygmomanometer and upper arm type pressure sphygmomanometer, calibrates the acquired blood pressure values of the two equipment, then stores the acquired blood pressure values, and sends the related data to a terminal APP of the user, the user can in time look over the relevant blood pressure data of oneself, and then carries out accurate understanding to the health condition of oneself. Meanwhile, when various blood pressure data are stored, the follow-up user can conveniently see the doctor, and medical staff can accurately know the historical blood pressure change condition of the user.
Based on the first aspect, in some embodiments of the present invention, the blood pressure management method further comprises the steps of:
constructing an initial artificial intelligence algorithm model based on the blood pressure parameters;
and obtaining and carrying out initial artificial intelligence algorithm model training according to historical reference blood pressure sample data to construct an artificial intelligence blood pressure analysis model.
Based on the first aspect, in some embodiments of the present invention, the blood pressure management method further comprises the steps of:
setting a target area and a sampling period;
acquiring user blood pressure data and environmental information of a target area according to a sampling period;
and importing the user blood pressure data and the environmental information of the target area into a preset association analysis model to generate blood pressure association analysis information.
Based on the first aspect, in some embodiments of the present invention, the blood pressure management method further comprises the steps of:
generating a blood pressure curve graph according to the first blood pressure data and the second blood pressure data according to a preset interval;
and generating and sending a blood pressure comparison curve graph to the terminal APP for display according to the blood pressure optimization information and the blood pressure curve graph.
In a second aspect, an embodiment of the present invention provides a blood pressure management system, including a first sampling module, a second sampling module, an analysis module, and a data uploading module, where:
the first sampling module is used for acquiring first blood pressure data of a user acquired by the finger-type sphygmomanometer according to a preset acquisition cycle;
the second adoption module is used for acquiring second blood pressure data of the user acquired by the upper arm type pressure sphygmomanometer according to a preset acquisition cycle;
the analysis module is used for importing the first blood pressure data and the second blood pressure data in the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, and generating and sending blood pressure optimization information to the finger type sphygmomanometer and the upper arm type pressurizing sphygmomanometer;
and the data uploading module is used for uploading the first blood pressure data, the second blood pressure data and the blood pressure optimization information to the terminal APP.
In order to solve the technical problem that accurate measurement and acquisition of long-range continuous data such as blood pressure, blood oxygen, heart rate and the like cannot be carried out at any time and any place in the prior art, so that the individual blood pressure change condition of a user cannot be accurately and effectively understood and analyzed, the system is combined with a plurality of different blood pressure detection devices to simultaneously detect the blood pressure conditions of the user at different moments, the blood pressure data acquired by two blood pressure meters corresponding to the same moment are respectively acquired through a first sampling module and a second sampling module, the analysis module is combined with a plurality of data to analyze the blood pressure data of the user at the same moment acquired by different devices through a preset artificial intelligence blood pressure analysis model to generate a comparison analysis result, the blood pressure data of the user acquired by different devices in the same time period are compared and adjusted to further obtain reasonable blood pressure optimization information, and the reasonable blood pressure optimization information is sent to the corresponding finger type blood pressure meter and the upper arm type pressure meter, the blood pressure value of gathering to two equipment is calibrated, then saves to through data upload module with relevant data transmission for user's terminal APP, the user can be timely look up own relevant blood pressure data, and then carry out accurate understanding to the health condition of oneself. Meanwhile, when various blood pressure data are stored, the medical staff can conveniently and accurately know the historical blood pressure change condition of the user when the follow-up user goes to the doctor.
Based on the second aspect, in some embodiments of the invention, the blood pressure management system further comprises an initial model module and a model training module, wherein:
the initial model module is used for constructing an initial artificial intelligence algorithm model based on the blood pressure parameters;
and the model training module is used for obtaining and carrying out initial artificial intelligence algorithm model training according to the historical reference blood pressure sample data so as to construct an artificial intelligence blood pressure analysis model.
Based on the second aspect, in some embodiments of the present invention, the blood pressure management system further includes a sampling setting module, a region data obtaining module, and an association analysis module, wherein:
the sampling setting module is used for setting a target area and a sampling period;
the regional data acquisition module is used for acquiring user blood pressure data and environmental information of a target region according to a sampling period;
and the correlation analysis module is used for importing the user blood pressure data and the environmental information of the target area into a preset correlation analysis model to generate blood pressure correlation analysis information.
Based on the second aspect, in some embodiments of the present invention, the blood pressure management system further comprises a curve generation module and a display module, wherein:
the curve generation module is used for generating a blood pressure curve graph according to the first blood pressure data and the second blood pressure data according to a preset interval;
and the display module is used for generating and sending the blood pressure comparison curve graph to the terminal APP for display according to the blood pressure optimization information and the blood pressure curve graph.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a blood pressure management method and a blood pressure management system, which solve the technical problem that accurate measurement and acquisition of long-range continuous blood pressure, blood oxygen, heart rate and other data cannot be carried out at any time and any place in the prior art, so that the individual blood pressure change condition of a user cannot be accurately and effectively understood and analyzed, the invention combines a plurality of different blood pressure detection devices to simultaneously detect the blood pressure conditions of the user at different moments, combines a plurality of data, adopts a preset artificial intelligent blood pressure analysis model to analyze the blood pressure data of the user at the same moment acquired by different devices, generates a comparative analysis result, contrasts and adjusts the blood pressure data of the user acquired by the different devices in the same time period, further obtains reasonable blood pressure optimization information, sends the reasonable blood pressure optimization information to corresponding finger type sphygmomanometer and upper arm type pressure sphygmomanometer, calibrates the acquired blood pressure values of the two devices, then store to give user's terminal APP with relevant data transmission, the user can be timely looks up own relevant blood pressure data, and then carries out accurate understanding to own health condition. Meanwhile, when various blood pressure data are stored, the medical staff can conveniently and accurately know the historical blood pressure change condition of the user when the follow-up user goes to the doctor.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a blood pressure management method according to an embodiment of the present invention;
FIG. 2 is a flowchart of model construction in a blood pressure management method according to an embodiment of the present invention;
FIG. 3 is a schematic block diagram of a blood pressure management system according to an embodiment of the present invention;
FIG. 4 is a block diagram of a blood pressure management system according to an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Icon: 100. a first sampling module; 200. a second adoption module; 300. an analysis module; 400. a data uploading module; 500. an initial model module; 600. a model training module; 700. a sampling setting module; 800. a regional data acquisition module; 900. a correlation analysis module; 1000. a curve generation module; 1100. a display module; 101. a memory; 102. a processor; 103. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Examples
As shown in fig. 1, in a first aspect, an embodiment of the present invention provides a blood pressure management method, including the following steps:
s1, acquiring first blood pressure data of a user acquired through a finger type sphygmomanometer according to a preset acquisition cycle; in order to ensure that real-time blood pressure data of a user can be acquired and the finger type sphygmomanometer is convenient for the user to carry, the finger type sphygmomanometer is worn on a finger of the user, the blood pressure value of the user for 12 hours is continuously monitored for a long time (the general finger type sphygmomanometer can be in long-term standby for 12 hours after being charged once), the blood pressure value is higher than 100 times, and data can be acquired once every minute. The detected blood pressure data stored by the finger-type sphygmomanometer can be extracted according to actual requirements and a certain acquisition period, and early warning and alarming can be realized. The finger type sphygmomanometer adopted in the invention can acquire blood pressure data at a high frequency of once per minute so as to realize continuous blood pressure monitoring, meet the requirement of continuous monitoring of the blood pressure of a user and improve the accuracy and effectiveness of data measurement. Real-time trend data comparison graphs of blood pressure values on different dates can be realized; meanwhile, multi-parameter (blood pressure, blood oxygen saturation, continuous pulse wave, blood fat, blood sugar and carotid artery ultrasound) monitoring data can be obtained. The data of blood pressure, blood oxygen saturation and pulse rate are combined, the sleep respiration condition can be evaluated, and early warning and prediction means are further provided for cardiovascular and cerebrovascular critical conditions such as myocardial infarction, cerebral infarction and the like.
S2, acquiring second blood pressure data of the user acquired by the upper arm type pressure sphygmomanometer according to a preset acquisition cycle; the collection period can be set to be once every 10 days or every 7 days, the traditional upper arm type pressure sphygmomanometer is worn on the upper arm of the user for collecting blood pressure data 3-4 times every month, and the blood pressure value is measured every 1 hour in the day.
S3, importing the first blood pressure data and the second blood pressure data in the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, generating and sending blood pressure optimization information to the finger type sphygmomanometer and the upper arm type pressurizing sphygmomanometer; the blood pressure data of two sources are compared and analyzed through a preset blood pressure analysis model, the data in the finger type sphygmomanometer and the upper arm type pressurizing sphygmomanometer are calibrated by combining the acquisition time, and the blood pressure value of the individual user optimized in real time is calibrated to the blood pressure value predicted by a PPG method (photoplethysmography).
S4, uploading the first blood pressure data, the second blood pressure data and the blood pressure optimization information to a terminal APP.
In order to solve the technical problem that accurate measurement and acquisition of long-range continuous blood pressure, blood oxygen, heart rate and other data cannot be performed at any time and any place in the prior art, so that the individual blood pressure change condition of a user cannot be accurately and effectively understood and analyzed, the invention combines a plurality of different blood pressure detection devices to simultaneously detect the blood pressure condition of the user at different moments, combines a plurality of data to analyze the blood pressure data of the user at the same moment acquired by different devices by adopting a preset artificial intelligent blood pressure analysis model, generates a comparison analysis result, compares and adjusts the blood pressure data of the user acquired by the different devices in the same time period, further obtains reasonable blood pressure optimization information, sends the reasonable blood pressure optimization information to the corresponding finger type sphygmomanometer and upper arm type pressure sphygmomanometer, calibrates the acquired blood pressure values of the two devices, then stores the blood pressure values, and sends the related data to a terminal APP of the user, the user can in time look over the relevant blood pressure data of oneself, and then carries out accurate understanding to the health condition of oneself. Meanwhile, when various blood pressure data are stored, the medical staff can conveniently and accurately know the historical blood pressure change condition of the user when the follow-up user goes to the doctor.
In order to improve the accuracy of continuously monitoring the blood pressure value for a long time, the invention uses a portable and non-sensitive photoplethysmography (PPG method) sphygmomanometer (finger sphygmomanometer), and obtains a synchronous blood pressure value from a traditional upper arm type electronic sphygmomanometer periodically every month, and analyzes an individual blood pressure value through an artificial intelligent blood pressure analysis model, so that the blood pressure data stored by the finger sphygmomanometer in the same time period is calibrated, and the accuracy of the stored blood pressure data of a user is ensured.
As shown in fig. 2, according to the first aspect, in some embodiments of the present invention, the blood pressure management method further includes the following steps:
a1, constructing an initial artificial intelligence algorithm model based on the blood pressure parameters;
and A2, obtaining and carrying out initial artificial intelligence algorithm model training according to historical reference blood pressure sample data to construct an artificial intelligence blood pressure analysis model.
In order to ensure that the blood pressure data of a user is quickly and effectively analyzed, before the data are analyzed, firstly, an initial artificial intelligence algorithm model which takes the blood pressure data as a model parameter is established, then, a large amount of historical reference blood pressure sample data is obtained, and the model is trained on the basis of the historical reference blood pressure sample data, so that a more accurate initial artificial intelligence algorithm model is obtained. The historical reference blood pressure sample data comprises historical normal blood pressure data of people of different ages and different sexes. And an artificial intelligence algorithm model is adopted to carry out accurate analysis and comparison on the data so as to adjust and optimize, and the data analysis efficiency and accuracy are greatly improved.
Based on the first aspect, in some embodiments of the present invention, the blood pressure management method further comprises the steps of:
setting a target area and a sampling period;
acquiring user blood pressure data and environmental information of a target area according to a sampling period;
and importing the user blood pressure data and the environmental information of the target area into a preset association analysis model to generate blood pressure association analysis information.
In order to further analyze and research the blood pressure conditions of users in different areas and different environments, blood pressure data of user groups in corresponding ranges are acquired by setting corresponding target research areas and corresponding sampling periods, environment information of the users is acquired at the same time, the user blood pressure data and the environment information of the target areas are led into a preset correlation analysis model, the data are analyzed through the correlation analysis model, comparison analysis research is carried out, the influence of environment parameters such as air pressure, air temperature and the like on the predicted blood pressure is verified, blood pressure correlation analysis information is generated, whether the acquired blood pressure of the users is accurate or not is judged according to the blood pressure correlation analysis information, and adjustment and optimization are further carried out. The correlation analysis model is a mathematical model which can analyze the correlation influence relationship between the environment and the blood pressure value by analyzing a large amount of blood pressure change condition data in combination with the weather environment. The blood pressure related analysis information comprises blood pressure data, time, collection temperature, humidity, altitude and air pressure, a comparison table of the data and blood pressure change and the like.
Based on the first aspect, in some embodiments of the invention, the blood pressure management method further comprises the following steps:
generating a blood pressure curve graph according to the first blood pressure data and the second blood pressure data according to a preset interval;
and generating and sending a blood pressure comparison curve graph to the terminal APP for display according to the blood pressure optimization information and the blood pressure curve graph.
In order to facilitate a user to visually check the change condition of the blood pressure of the user, a blood pressure curve graph is generated according to a preset interval by combining first blood pressure data and second blood pressure data which are collected in different periods, the time is taken as an abscissa, and a corresponding curve graph is generated by taking a blood pressure value as an ordinate, so that the user can conveniently check the curve graph, the blood pressure curve graph is dynamically adjusted by combining blood pressure optimization information, a dynamically changed blood pressure comparison curve graph is generated and is sent to a terminal APP of the user, and the user can check the curve graph.
As shown in fig. 3, in a second aspect, an embodiment of the present invention provides a blood pressure management system, including a first sampling module 100, a second sampling module 200, an analysis module 300, and a data uploading module 400, wherein:
the first sampling module 100 is configured to acquire first blood pressure data of a user acquired by a finger sphygmomanometer according to a preset acquisition cycle;
a second adoption module 200, configured to obtain second blood pressure data of the user acquired by the upper arm type sphygmomanometer according to a preset acquisition cycle;
the analysis module 300 is configured to import the first blood pressure data and the second blood pressure data in the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, generate and send blood pressure optimization information to the finger sphygmomanometer and the upper arm type pressure sphygmomanometer;
the data uploading module 400 is configured to upload the first blood pressure data, the second blood pressure data and the blood pressure optimization information to the terminal APP.
In order to solve the technical problem that accurate measurement and acquisition of long-range continuous data such as blood pressure, blood oxygen and heart rate cannot be performed at any time and any place in the prior art, so that the individual blood pressure change condition of a user cannot be accurately and effectively understood and analyzed, the system combines a plurality of different blood pressure detection devices to simultaneously detect the blood pressure conditions of the user at different moments, respectively acquires the blood pressure data acquired by two blood pressure meters corresponding to the same moment through a first sampling module 100 and a second sampling module 200, analyzes the blood pressure data of the user at the same moment acquired by different devices through an analysis module 300 by combining a plurality of data and adopting a preset artificial intelligence blood pressure analysis model, generates a contrasted analysis result, contrasts and adjusts the blood pressure data of the user acquired by different devices in the same time period, further obtains reasonable blood pressure optimization information, and sends the reasonable blood pressure optimization information to the corresponding finger type blood pressure meters and upper arm type pressurizing blood pressure meters, the blood pressure value of gathering to two equipment is calibrated, then saves to through data upload module 400 with relevant data transmission for user's terminal APP, the user can be timely look over oneself relevant blood pressure data, and then carry out accurate understanding to the health condition of oneself. Meanwhile, when various blood pressure data are stored, the medical staff can conveniently and accurately know the historical blood pressure change condition of the user when the follow-up user goes to the doctor.
As shown in fig. 4, based on the second aspect, in some embodiments of the present invention, the blood pressure management system further comprises an initial model module 500 and a model training module 600, wherein:
an initial model module 500, configured to construct an initial artificial intelligence algorithm model based on the blood pressure parameters;
and the model training module 600 is configured to obtain and perform initial artificial intelligence algorithm model training according to historical reference blood pressure sample data to construct an artificial intelligence blood pressure analysis model.
In order to ensure that the blood pressure data of the user is quickly and effectively analyzed, before the data are analyzed, firstly, an initial artificial intelligence algorithm model which takes the blood pressure data as a model parameter is established through an initial model module 500, then, a large amount of historical reference blood pressure sample data is obtained through a model training module 600, and the model is trained on the basis of the historical reference blood pressure sample data, so that a more accurate initial artificial intelligence algorithm model is obtained.
As shown in fig. 4, according to the second aspect, in some embodiments of the present invention, the blood pressure management system further includes a sampling setting module 700, a region data obtaining module 800, and an association analysis module 900, wherein:
a sampling setting module 700 for setting a target region and a sampling period;
the regional data acquisition module 800 is configured to acquire user blood pressure data and environmental information of a target region according to a sampling period;
and the association analysis module 900 is configured to import the user blood pressure data and the environmental information of the target area into a preset association analysis model, and generate blood pressure association analysis information.
In order to further analyze and research the blood pressure of users in different areas and different environments, a corresponding target research area and a corresponding sampling period are set through the sampling setting module 700, blood pressure data of user groups in a corresponding range are acquired through the area data acquisition module 800, environment information of the users is acquired at the same time, the user blood pressure data and the environment information of the target area are led into a preset correlation analysis model through the correlation analysis module 900, the data are analyzed through the correlation analysis model, comparison analysis research is carried out, the influence of environment parameters such as air pressure and air temperature on the predicted blood pressure is verified, blood pressure correlation analysis information is generated, whether the acquired blood pressure of the users is accurate or not is judged according to the blood pressure correlation analysis information, and adjustment and optimization are further carried out. The correlation analysis model is a mathematical model which can analyze the correlation influence relationship between the environment and the blood pressure value by analyzing a large amount of blood pressure change condition data in combination with the weather environment. The blood pressure related analysis information comprises blood pressure data, time, collection temperature, humidity, altitude and air pressure, a comparison table of the data and blood pressure change and the like.
As shown in fig. 4, based on the second aspect, in some embodiments of the present invention, the blood pressure management system further comprises a curve generation module 1000 and a display module 1100, wherein:
the curve generating module 1000 is configured to generate a blood pressure curve graph according to the first blood pressure data and the second blood pressure data at preset intervals;
and a display module 1100, configured to generate and send a blood pressure comparison graph to the terminal APP for display according to the blood pressure optimization information and the blood pressure graph.
In order to facilitate a user to visually check the change condition of the blood pressure of the user, the curve generation module 1000 is used for generating a blood pressure curve graph according to a preset interval by combining first blood pressure data and second blood pressure data acquired in different periods, time is taken as an abscissa, a corresponding curve graph is generated by taking a blood pressure value as an ordinate, the user can conveniently check the curve graph, the display module 1100 is used for dynamically adjusting the blood pressure curve graph by combining blood pressure optimization information, a dynamically changed blood pressure comparison curve graph is generated and is sent to a terminal APP of the user, and the user can check the curve graph.
As shown in fig. 5, in a third aspect, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A method of blood pressure management, comprising the steps of:
acquiring first blood pressure data of a user acquired through a finger-type sphygmomanometer according to a preset acquisition period;
acquiring second blood pressure data of the user acquired by the upper arm type pressure sphygmomanometer according to a preset acquisition cycle;
leading the first blood pressure data and the second blood pressure data of the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, generating and sending blood pressure optimization information to a finger type sphygmomanometer and an upper arm type pressurization sphygmomanometer;
and uploading the first blood pressure data, the second blood pressure data and the blood pressure optimization information to a terminal APP.
2. A method for blood pressure management according to claim 1, further comprising the steps of:
constructing an initial artificial intelligence algorithm model based on the blood pressure parameters;
and obtaining and carrying out initial artificial intelligence algorithm model training according to historical reference blood pressure sample data to construct an artificial intelligence blood pressure analysis model.
3. A method for blood pressure management according to claim 1, further comprising the steps of:
setting a target area and a sampling period;
acquiring user blood pressure data and environmental information of a target area according to a sampling period;
and importing the user blood pressure data and the environmental information of the target area into a preset association analysis model to generate blood pressure association analysis information.
4. A method for blood pressure management according to claim 1, further comprising the steps of:
generating a blood pressure curve graph according to the first blood pressure data and the second blood pressure data according to a preset interval;
and generating and sending a blood pressure comparison curve graph to the terminal APP for display according to the blood pressure optimization information and the blood pressure curve graph.
5. The utility model provides a blood pressure management system, its characterized in that adopts module, analysis module and data upload module including first sampling module, second, wherein:
the first sampling module is used for acquiring first blood pressure data of a user acquired by the finger-type sphygmomanometer according to a preset acquisition cycle;
the second adoption module is used for acquiring second blood pressure data of the user acquired by the upper arm type pressure sphygmomanometer according to a preset acquisition cycle;
the analysis module is used for importing first blood pressure data and second blood pressure data in the same time period in the same acquisition cycle into a preset artificial intelligence blood pressure analysis model, and generating and sending blood pressure optimization information to the finger type sphygmomanometer and the upper arm type pressurization sphygmomanometer;
and the data uploading module is used for uploading the first blood pressure data, the second blood pressure data and the blood pressure optimization information to the terminal APP.
6. A blood pressure management system according to claim 5, further comprising an initial model module and a model training module, wherein:
the initial model module is used for constructing an initial artificial intelligence algorithm model based on the blood pressure parameters;
and the model training module is used for obtaining and carrying out initial artificial intelligence algorithm model training according to historical reference blood pressure sample data so as to construct an artificial intelligence blood pressure analysis model.
7. The blood pressure management system according to claim 5, further comprising a sampling setting module, a regional data acquisition module, and an association analysis module, wherein:
the sampling setting module is used for setting a target area and a sampling period;
the regional data acquisition module is used for acquiring user blood pressure data and environmental information of a target region according to a sampling period;
and the correlation analysis module is used for importing the user blood pressure data and the environmental information of the target area into a preset correlation analysis model to generate blood pressure correlation analysis information.
8. The blood pressure management system of claim 5, further comprising a curve generation module and a display module, wherein:
the curve generation module is used for generating a blood pressure curve graph according to the first blood pressure data and the second blood pressure data according to a preset interval;
and the display module is used for generating and sending the blood pressure comparison curve graph to the terminal APP for display according to the blood pressure optimization information and the blood pressure curve graph.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117037993A (en) * | 2023-10-07 | 2023-11-10 | 深圳市爱保护科技有限公司 | Intelligent blood pressure monitoring management method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117037993A (en) * | 2023-10-07 | 2023-11-10 | 深圳市爱保护科技有限公司 | Intelligent blood pressure monitoring management method and system |
| CN117037993B (en) * | 2023-10-07 | 2024-01-26 | 深圳市爱保护科技有限公司 | Intelligent blood pressure monitoring management method and system |
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