CN113160988A - Health management system based on big data analysis - Google Patents
Health management system based on big data analysis Download PDFInfo
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- CN113160988A CN113160988A CN202110472970.1A CN202110472970A CN113160988A CN 113160988 A CN113160988 A CN 113160988A CN 202110472970 A CN202110472970 A CN 202110472970A CN 113160988 A CN113160988 A CN 113160988A
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring
Abstract
The invention provides a health management system based on big data analysis, comprising: the system comprises a wearable monitoring terminal and a cloud server; the wearable monitoring terminal is used for acquiring user health monitoring data and uploading the acquired user health monitoring data to the cloud server; the cloud server is used for establishing a user database and storing the received user health monitoring data into the user database in a classified manner; and performing big data analysis according to the user health monitoring data in the user database, acquiring a user health analysis result, and sending the user health analysis result to the wearable monitoring terminal. The invention is helpful for users to know their own health status accurately in time and to take corresponding actions in time to control their own chronic disease recurrence when the body status is abnormal.
Description
Technical Field
The invention relates to the technical field of health management big data, in particular to a health management system based on big data analysis.
Background
The aging problem of the population in China is more and more severe, and with the existence of diseases such as chronic diseases and the like, the population suffering from the diseases also presents a low aging trend, and the occurrence of the conditions brings comprehensive challenges to the medical industry. At present, chronic disease patients are easily affected by factors such as environment, self, living habits and the like in daily life, so that the disease condition is repeated; in the prior art, a patient can go to a medical institution regularly for a double-visit to know the change of the health condition of the patient, but the patient cannot know related information in time in the interval period of the double-visit, so that the patient can be easily noticed when the condition of the patient shows a serious condition, and the health of the patient is damaged.
Disclosure of Invention
In view of the above problems, the present invention aims to provide a health management system based on big data analysis.
The purpose of the invention is realized by adopting the following technical scheme:
the invention shows a health management system based on big data analysis, comprising: the system comprises a wearable monitoring terminal and a cloud server; wherein the content of the first and second substances,
the wearable monitoring terminal is used for acquiring user health monitoring data and uploading the acquired user health monitoring data to the cloud server;
the cloud server is used for establishing a user database and storing the received user health monitoring data into the user database in a classified manner; and performing big data analysis according to the user health monitoring data in the user database, acquiring a user health analysis result, and sending the user health analysis result to the wearable monitoring terminal.
In one embodiment, the wearable monitoring terminal comprises a physical sign monitoring unit, an environment monitoring unit, a positioning unit and a data transmission unit; wherein the content of the first and second substances,
the physical sign monitoring unit is used for acquiring physical sign monitoring data of a user, wherein the physical sign monitoring data comprises one or more of pulse frequency, blood pressure, body temperature and respiratory frequency;
the environment monitoring data is used for acquiring environment monitoring data of the environment where the user is located, wherein the environment monitoring data comprises one or more of temperature, humidity and illumination intensity;
the positioning unit is used for acquiring user positioning data;
the data transmission unit is used for transmitting the collected physical sign monitoring data, the collected environment monitoring data and the collected positioning data to the cloud server.
In one embodiment, the wearable monitoring terminal further comprises an image acquisition unit; wherein the content of the first and second substances,
the image acquisition unit is used for recording the user card punching video data and uploading the user card punching video data to the cloud server through the data transmission unit.
In one embodiment, the cloud server comprises a filing module, a database module, an analysis module and a warning module;
the profiling module is used for acquiring basic health information of a user, establishing a health file of the user and establishing a user database corresponding to the user from a cloud server;
the database module is used for carrying out classified management on the user database and storing the received user health monitoring data into the user database in a classified manner; the user health monitoring data comprises one or more of physical sign monitoring data, environment monitoring data, positioning data and card punching video data;
the analysis module is used for carrying out big data analysis on the user health monitoring data in the user database to obtain a user health analysis result; wherein the user health analysis results comprise personal health state analysis results and health influence analysis results;
the warning module is used for sending warning information to the corresponding wearable monitoring terminal when the user health analysis result obtained by the analysis module is abnormal.
In one embodiment, the analysis module comprises a personal health state analysis unit and a health impact analysis unit; wherein the content of the first and second substances,
the personal health state analysis unit is used for analyzing the personal health state of the user according to the sign monitoring data, and comprises an input data set generated according to the basic health information of the user and the sign monitoring data acquired by the user within a period of time, and the input data set is input into a trained personal health state analysis model to obtain the personal health analysis result of the user output by the personal health state analysis model;
the health influence analysis unit is used for analyzing the health influence possibly received by the user according to the sign monitoring data, the environment monitoring data, the positioning data and the card punching video data, generating an input data set according to the basic health information of the user and the sign monitoring data, the environment monitoring data, the positioning data and the card punching video data collected by the user in a period of time, inputting the input data into a trained health influence analysis model, and acquiring a health influence analysis result output by the health influence analysis model.
In one embodiment, the alert module is configured to send corresponding alert information to the wearable monitoring terminal when the personal health analysis result or the health impact analysis result is abnormal.
The invention has the beneficial effects that: the wearable monitoring terminal is used for acquiring the health monitoring data of the user in real time and uploading the health monitoring data to the cloud server, the cloud server constructs an exclusive user database for the user, the health monitoring data of the user is subjected to big data analysis through the cloud server, the health condition of the user can be accurately evaluated and predicted according to the real-time or periodic uploaded data of the user, the health analysis result of the user is sent to the wearable monitoring terminal, the wearable monitoring terminal is beneficial to the user to timely and accurately know the health condition of the user, and corresponding actions are timely taken to control the recurrence condition of the chronic diseases of the user when the physical condition is abnormal.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of a health management system based on big data analysis according to an exemplary embodiment of the present invention.
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to fig. 1, an embodiment of a health management system based on big data analysis includes: the system comprises a wearable monitoring terminal and a cloud server; wherein the content of the first and second substances,
the wearable monitoring terminal is used for acquiring user health monitoring data and uploading the acquired user health monitoring data to the cloud server;
the cloud server is used for establishing a user database and storing the received user health monitoring data into the user database in a classified manner; and performing big data analysis according to the user health monitoring data in the user database, acquiring a user health analysis result, and sending the user health analysis result to the wearable monitoring terminal.
According to the embodiment of the invention, the wearable monitoring terminal is used for acquiring the health monitoring data of the user in real time and uploading the health monitoring data to the cloud server, the cloud server is used for constructing the exclusive user database for the user, the cloud server is used for analyzing the big data of the health monitoring data of the user, the health condition of the user can be accurately evaluated and predicted according to the real-time or periodic uploaded data of the user, and the health analysis result of the user is sent to the wearable monitoring terminal, so that the wearable monitoring terminal is beneficial for the user to know the self health condition timely and accurately, and corresponding action is taken in time when the body condition is abnormal so as to control the self chronic disease recurrence condition.
In the scene, wearable monitoring terminal gathers the health monitoring data of wearing user (patient) in real time and uploads to cloud server, by the database that cloud server will receive health monitoring data storage to correspond with this user, cloud server can carry out big data analysis according to user's health monitoring data simultaneously, through carrying out vertical or horizontal analysis with user's health monitoring data and user's self historical data or other monitoring data, thereby obtain user health analysis result, and return user health analysis result for the user, so that the user can in time know the true situation of self health status, help the user to make the measure that prevents chronic disease relapse according to health analysis result in advance.
In one embodiment, the wearable monitoring terminal comprises a physical sign monitoring unit, an environment monitoring unit, a positioning unit and a data transmission unit; wherein the content of the first and second substances,
the physical sign monitoring unit is used for acquiring physical sign monitoring data of a user, wherein the physical sign monitoring data comprises one or more of pulse frequency, blood pressure, body temperature and respiratory frequency;
the environment monitoring data is used for acquiring environment monitoring data of the environment where the user is located, wherein the environment monitoring data comprises one or more of temperature, humidity and illumination intensity;
the positioning unit is used for acquiring user positioning data;
the data transmission unit is used for transmitting the collected physical sign monitoring data, the collected environment monitoring data and the collected positioning data to the cloud server.
In one scenario, the wearable monitoring terminal comprises a sign sensor (such as a pulse sensor, a blood pressure sensor, a body temperature sensor, a respiration sensor and the like) and an environment sensor (such as a temperature sensor, a humidity sensor, a light intensity sensor and the like) which are arranged on a wearable device (such as a bracelet, an arm ring, a waist ring and the like); the system is used for collecting the physical sign monitoring data and the environmental monitoring data of the user in real time or periodically and uploading the physical sign monitoring data and the environmental monitoring data to the cloud server.
The physical sign monitoring unit is used for recording the change of physical features of the user, directly monitoring physical sign monitoring data reflecting physical conditions and accurately reflecting the health conditions of the user; meanwhile, the environment monitoring unit records the environment condition of the environment where the user is located, environmental factors which possibly affect the health condition of the user (particularly fluctuation of the state of the disease caused by the fact that chronic diseases are easily affected by environmental changes) are recorded from the side, the physical condition of the user can be reflected from a direct and indirect angle by combining and recording the environment data and the physical sign monitoring data, the health condition of the user can be analyzed by combining the environment data when the health condition of the user fluctuates, and the reliability of the health condition management of the user is improved.
In the traditional data recording mode, only the association with the data acquisition time is carried out when data recording is carried out; in the embodiment, the positioning unit is used for recording the user positioning data, associating the collected physical sign monitoring data and the collected environment monitoring data with the corresponding positioning information, so that the data composition reflecting the health condition of the user can be further perfected, and the accuracy of big data analysis on the health condition of the user according to the health monitoring data of the user can be further improved.
In one embodiment, the wearable monitoring terminal further comprises an image acquisition unit; wherein the content of the first and second substances,
the image acquisition unit is used for recording the user card punching video data and uploading the user card punching video data to the cloud server through the data transmission unit.
Besides the data objectively collected through the physical sign monitoring data, the environment monitoring data and the like, the wearable monitoring terminal is further provided with an image collecting unit for recording a user card punching video, the user can reflect subjective data records of the user on the self health condition (for example, some conditions which can not be reflected through the physical sign monitoring data) through the card punching video for describing the self health condition feeling of the user, and the further analysis on the physical condition of the user is facilitated by combining the objective data and the subjective data.
The cloud server can extract corresponding key comment identifications such as 'normal', 'aching pain in hands and feet', and 'bad spirit' identifications according to the user card punching video data, and the cloud server is used for summarizing the user card punching video contents; wherein the key comment identification may also be added by the user or administrator. The key comment identification is used for further carrying out model analysis according to the card punching video data subsequently to lay a foundation.
In one embodiment, the cloud server comprises a filing module, a database module, an analysis module and a warning module;
the profiling module is used for acquiring basic health information of a user, establishing a health file of the user and establishing a user database corresponding to the user from a cloud server; when the user uses the health record for the first time, a medical institution or the user logs in a cloud server to fill in basic health information and establish a health record, wherein the basic health information comprises personal information (such as age, sex, height, weight and the like) and health information (such as chronic disease information, chronic disease duration and the like) of the user.
The database module is used for carrying out classified management on the user database and storing the received user health monitoring data into the user database in a classified manner; the user health monitoring data comprises one or more of physical sign monitoring data, environment monitoring data, positioning data and card punching video data;
the analysis module is used for carrying out big data analysis on the user health monitoring data in the user database to obtain a user health analysis result;
the warning module is used for sending warning information to the corresponding wearable monitoring terminal when the user health analysis result obtained by the analysis module is abnormal.
The cloud server is further connected with an external medical institution system, a meteorological forecasting system and the like, and acquires various data required for analyzing the user health monitoring data according to needs. The requirement of the cloud server for big data analysis is met.
In one embodiment, the user health analysis results comprise personal health status analysis results and health impact analysis results;
the analysis module comprises a personal health state analysis unit and a health influence analysis unit; wherein the content of the first and second substances,
the personal health state analysis unit is used for analyzing the personal health state of the user according to the sign monitoring data, and comprises an input data set generated according to the basic health information of the user and the sign monitoring data acquired by the user within a period of time, and the input data set is input into a trained personal health state analysis model to obtain the personal health analysis result of the user output by the personal health state analysis model;
the health influence analysis unit is used for analyzing the possible health influence on the user according to one or more of the physical sign monitoring data, the environment monitoring data, the positioning data and the card punching video data, generating an input data set according to basic health information of the user and one or more of the physical sign monitoring data, the environment monitoring data, the positioning data and the card punching video data collected by the user within a period of time, inputting the input data into a trained health influence analysis model, and acquiring a health influence analysis result output by the health influence analysis model;
in one embodiment, the alert module is configured to send corresponding alert information to the wearable monitoring terminal when the personal health analysis result or the health impact analysis result is abnormal.
In one scenario, a personal health state analysis unit trains a personal health state analysis model according to historical health monitoring data and variation trends in a user database to obtain the trained personal health state analysis model, sign monitoring data acquired within a period of time is input into the trained personal health state analysis model, the variation trend of the sign monitoring data is output by the model, and the variation trend is compared with indexes of the monitoring data (wherein the indexes correspond to chronic disease types of users) to obtain a personal health state analysis result.
In one scenario, the current physical sign monitoring data of the user can be combined with the type of the chronic disease of the user, a cluster analysis model trained according to the physical sign monitoring data and the health condition of a large number of patients with chronic diseases of the same type is adopted for processing, and the current health condition of the user is obtained and used as the personal health analysis result of the user.
In one scenario, the health impact analysis unit may train a health impact analysis model based on massive data, for example, train a health impact analysis model according to the impact of environmental monitoring data on the physical sign monitoring data; or acquiring the environment change trend of the area according to the positioning data, and predicting the change of future environment monitoring data by combining the current environment monitoring data and the influence of the physical sign monitoring data on the health of the user to train a health influence analysis model; or training a health influence analysis model and the like according to the influence of key comment identification of the card punching video data and the physical sign monitoring data on the health of the user; and then inputting the corresponding user health monitoring data into the trained model to obtain the corresponding health influence analysis result.
For example, in one scenario, for chronic disease patients with rheumatoid arthritis, the environmental changes can have a significant impact on the recurrence of the disease; the health influence analysis unit acquires user health monitoring data of a user, firstly acquires an area where the user is located according to positioning data of the user, and accesses an external system to acquire weather data of the area through a model, wherein the change of the environment where the user is located is predicted according to comparison between environment monitoring data of the user and current weather data of the area and the change trend of the current weather data of the area and the predicted weather data; meanwhile, by combining comment identification and user sign data (for example, the current sign indexes of the user are normal, but the user feels tired) in the user card punching video data, the change of the environment where the user is located (for example, the humidity is increased to an excessive level) is combined; therefore, a health influence analysis result (for example, the environment of the user is about to have a serious influence on the illness state of the user) is obtained, so that the user can take preventive measures in advance after obtaining the health influence analysis result.
In one embodiment, the data management module includes a file unit; wherein the content of the first and second substances,
the archive unit is used for generating a user health archive according to the user health monitoring data, wherein the user health archive comprises physical sign monitoring data, environment monitoring data, positioning data and card punching video data.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the procedures of an embodiment may be performed by a computer program instructing associated hardware. In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. A health management system based on big data analysis, comprising: the system comprises a wearable monitoring terminal and a cloud server; wherein the content of the first and second substances,
the wearable monitoring terminal is used for acquiring user health monitoring data and uploading the acquired user health monitoring data to the cloud server;
the cloud server is used for establishing a user database and storing the received user health monitoring data into the user database in a classified manner; and performing big data analysis according to the user health monitoring data in the user database, acquiring a user health analysis result, and sending the user health analysis result to the wearable monitoring terminal.
2. The health management system based on big data analysis according to claim 1, wherein the wearable monitoring terminal comprises a physical sign monitoring unit, an environment monitoring unit, a positioning unit and a data transmission unit; wherein the content of the first and second substances,
the physical sign monitoring unit is used for acquiring physical sign monitoring data of a user, wherein the physical sign monitoring data comprises one or more of pulse frequency, blood pressure, body temperature and respiratory frequency;
the environment monitoring data is used for acquiring environment monitoring data of the environment where the user is located, wherein the environment monitoring data comprises one or more of temperature, humidity and illumination intensity;
the positioning unit is used for acquiring user positioning data;
the data transmission unit is used for transmitting the collected physical sign monitoring data, the collected environment monitoring data and the collected positioning data to the cloud server.
3. The health management system based on big data analysis according to claim 2, wherein the wearable monitoring terminal further comprises an image acquisition unit; wherein the content of the first and second substances,
the image acquisition unit is used for recording the user card punching video data and uploading the user card punching video data to the cloud server through the data transmission unit.
4. The big data analysis-based health management system according to claim 3, wherein the cloud server comprises a filing module, a database module, an analysis module and an alert module;
the profiling module is used for acquiring basic health information of a user, establishing a health file of the user and establishing a user database corresponding to the user from a cloud server;
the database module is used for carrying out classified management on the user database and storing the received user health monitoring data into the user database in a classified manner; the user health monitoring data comprises one or more of physical sign monitoring data, environment monitoring data, positioning data and card punching video data;
the analysis module is used for carrying out big data analysis on the user health monitoring data in the user database to obtain a user health analysis result; wherein the user health analysis results comprise personal health state analysis results and health influence analysis results;
the warning module is used for sending warning information to the corresponding wearable monitoring terminal when the user health analysis result obtained by the analysis module is abnormal.
5. The big data analysis-based health management system according to claim 4, wherein the analysis module comprises a personal health status analysis unit and a health impact analysis unit; wherein the content of the first and second substances,
the personal health state analysis unit is used for analyzing the personal health state of the user according to the sign monitoring data, and comprises an input data set generated according to the basic health information of the user and the sign monitoring data acquired by the user within a period of time, and the input data set is input into a trained personal health state analysis model to obtain the personal health analysis result of the user output by the personal health state analysis model;
the health influence analysis unit is used for analyzing the health influence possibly received by the user according to the sign monitoring data, the environment monitoring data, the positioning data and the card punching video data, generating an input data set according to the basic health information of the user and the sign monitoring data, the environment monitoring data, the positioning data and the card punching video data collected by the user in a period of time, inputting the input data into a trained health influence analysis model, and acquiring a health influence analysis result output by the health influence analysis model.
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