CN113160988B - Health management system based on big data analysis - Google Patents
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- 230000036541 health Effects 0.000 title claims abstract description 164
- 238000007405 data analysis Methods 0.000 title claims abstract description 19
- 238000012544 monitoring process Methods 0.000 claims abstract description 163
- 238000004458 analytical method Methods 0.000 claims abstract description 100
- 230000002159 abnormal effect Effects 0.000 claims abstract description 6
- 238000004080 punching Methods 0.000 claims description 25
- 230000008821 health effect Effects 0.000 claims description 17
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- 230000007613 environmental effect Effects 0.000 claims description 15
- 230000005540 biological transmission Effects 0.000 claims description 9
- 238000012549 training Methods 0.000 claims description 5
- 230000036772 blood pressure Effects 0.000 claims description 4
- 230000036760 body temperature Effects 0.000 claims description 4
- 230000003862 health status Effects 0.000 claims description 4
- 238000005286 illumination Methods 0.000 claims description 3
- 230000036391 respiratory frequency Effects 0.000 claims description 3
- 230000000875 corresponding effect Effects 0.000 abstract description 14
- 208000017667 Chronic Disease Diseases 0.000 abstract description 13
- 238000007726 management method Methods 0.000 description 10
- 201000010099 disease Diseases 0.000 description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 4
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—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
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Abstract
The invention provides a health management system based on big data analysis, which comprises: wearable monitoring terminal and cloud server; the wearable monitoring terminal is used for collecting user health monitoring data and uploading the collected 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, obtaining 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 the health condition of themselves timely and accurately, and to make corresponding actions timely when the health condition is abnormal so as to control the recurrence of chronic diseases of themselves.
Description
Technical Field
The invention relates to the technical field of big data of health management, in particular to a health management system based on big data analysis.
Background
The aging problem of the population in China is more serious, and along with the existence of chronic diseases and other diseases, the ill population also presents an aging trend, and the occurrence of the situations brings comprehensive challenges to the medical industry. At present, chronic disease patients are easily affected by factors such as environment, self, living habit and the like in daily life, so that the phenomenon of repeated illness is caused; in the prior art, a patient can regularly carry out re-diagnosis to a medical institution to know the change of the self health condition, but in the interval period of re-diagnosis, the patient cannot know related information in time, so that the patient can easily perceive the disease condition when the disease condition shows serious conditions, and the patient is damaged.
Disclosure of Invention
In view of the foregoing, the present invention aims to provide a health management system based on big data analysis.
The aim of the invention is realized by adopting the following technical scheme:
the invention shows a health management system based on big data analysis, comprising: wearable monitoring terminal and cloud server; wherein,,
the wearable monitoring terminal is used for collecting user health monitoring data and uploading the collected 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, obtaining 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 sign monitoring unit, an environment monitoring unit, a positioning unit and a data transmission unit; wherein,,
the sign monitoring unit is used for collecting sign monitoring data of a user, wherein the sign monitoring data comprise one or more of pulse frequency, blood pressure, body temperature and respiratory frequency;
the environment monitoring data are used for collecting environment monitoring data of the environment where the user is located, wherein the environment monitoring data comprise 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 environment monitoring data and the positioning data to the cloud server.
In one embodiment, the wearable monitoring terminal further comprises an image acquisition unit; wherein,,
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 gear establishment 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 user health file, and establishing a user database corresponding to the user from the 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; wherein the user health monitoring data comprises one or more of physical sign monitoring data, environmental monitoring data, positioning data and 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 status 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 status analysis unit and a health impact analysis unit; wherein,,
the personal health state analysis unit is used for analyzing the personal health state of the user according to the physical sign monitoring data, and comprises the steps of generating an input data set according to basic health information of the user and the physical sign monitoring data acquired in a period of time of the user, inputting the input data set into the trained personal health state analysis model, and acquiring a personal health analysis result of the user, which is output by the personal health state analysis model;
the health effect analysis unit is used for analyzing the health effect possibly received by the user according to the physical sign monitoring data, the environment monitoring data, the positioning data and the punching video data, and comprises the steps of generating an input data set according to the basic health information of the user and the physical sign monitoring data, the environment monitoring data, the positioning data and the punching video data acquired in a period of time of the user, inputting the input data and the input data into a trained health effect analysis model, and acquiring a health effect analysis result output by the health effect analysis model.
In one embodiment, the warning module is configured to send corresponding warning information to the wearable monitoring terminal when an abnormality occurs in the personal health analysis result or the health impact analysis result.
The beneficial effects of the invention are as follows: the user health monitoring data are collected in real time through the wearable monitoring terminal and uploaded to the cloud server, a dedicated user database is built for the user through the cloud server, big data analysis is conducted on the user health monitoring data through the cloud server, the health condition of the user can be accurately estimated and predicted according to the data uploaded by the user in real time or periodically, and the user health analysis result is sent to the wearable monitoring terminal, so that the user can timely and accurately know the health condition of the user, and corresponding actions are timely made to control the chronic disease recurrence condition of the user when the health condition is abnormal.
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The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a frame structure diagram of an exemplary embodiment of a health management system based on big data analysis according to the present invention.
Detailed Description
The invention is further described in connection with the following application scenario.
Referring to the embodiment of fig. 1, a health management system based on big data analysis includes: wearable monitoring terminal and cloud server; wherein,,
the wearable monitoring terminal is used for collecting user health monitoring data and uploading the collected 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, obtaining 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 user health monitoring data are acquired in real time through the wearable monitoring terminal and uploaded to the cloud server, the cloud server builds a dedicated user database for the user, and the cloud server analyzes the big data of the user health monitoring data, so that the health condition of the user can be accurately estimated and predicted according to the data uploaded by the user in real time or periodically, and the user health analysis result is sent to the wearable monitoring terminal, thereby being beneficial to the user to timely and accurately know the health condition of the user, and timely make corresponding actions to control the chronic disease recurrence condition of the user when the health condition is abnormal.
In a scene, the wearable monitoring terminal collects health monitoring data of a wearing user (patient) in real time and uploads the health monitoring data to the cloud server, the cloud server stores the received health monitoring data in a database corresponding to the user, meanwhile, the cloud server can conduct big data analysis according to the health monitoring data of the user, and the user health monitoring data and historical data of the user or other monitoring data are subjected to longitudinal or transverse analysis, so that a user health analysis result is obtained, and the user health analysis result is returned to the user, so that the user can timely know the real situation of the health condition of the user, and the user can make measures for preventing chronic diseases in advance according to the health analysis result.
In one embodiment, the wearable monitoring terminal comprises a sign monitoring unit, an environment monitoring unit, a positioning unit and a data transmission unit; wherein,,
the sign monitoring unit is used for collecting sign monitoring data of a user, wherein the sign monitoring data comprise one or more of pulse frequency, blood pressure, body temperature and respiratory frequency;
the environment monitoring data are used for collecting environment monitoring data of the environment where the user is located, wherein the environment monitoring data comprise 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 environment monitoring data and the positioning data to the cloud server.
In one scenario, the wearable monitoring terminal comprises a physical 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 armband, a waist band and the like); the system is used for collecting physical sign monitoring data and environment monitoring data of the user in real time or periodically and uploading the physical sign monitoring data and the environment monitoring data to the cloud server.
The physical sign monitoring unit is used for recording the change of physical characteristics of a user, directly monitoring physical sign monitoring data reflecting physical conditions and accurately reflecting the physical conditions of the user; meanwhile, the environment monitoring unit records the environment condition of the environment where the user is located, and records the environment factors which possibly influence the health condition of the user (particularly, the chronic diseases are easily influenced by environmental changes so as to generate fluctuation of the illness state) from the side face, and the physical condition of the user can be reflected from the direct and indirect angles by combining and recording the environment data and the physical sign monitoring data, so that when the health condition fluctuation of the user occurs, the health condition of the user can be analyzed by combining the environment data, and the reliability of the health condition management of the user is improved.
When the traditional data recording mode is used for recording data, the traditional data recording mode is only related to the data acquisition time; in the embodiment, the positioning unit records the user positioning data, and correlates the collected physical sign monitoring data and environment monitoring data with the corresponding positioning information, so that the composition of the data reflecting the health condition of the user is further improved, and the accuracy of analyzing the big data of the health condition of the user according to the user health monitoring data is further improved.
In one embodiment, the wearable monitoring terminal further comprises an image acquisition unit; wherein,,
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 above data objectively collected through physical sign monitoring data, environmental monitoring data and the like, the wearable monitoring terminal is further provided with an image collecting unit for recording a user card punching video, and the user can reflect subjective data records of the user on the health condition of the user (such as the situation that the physical sign monitoring data cannot be reflected) by describing the card punching video of the health condition of the user, so that further analysis of the physical condition of the user can be facilitated by combining the objective data and the subjective data.
The cloud server can extract corresponding key comment identifiers, such as "normal," "soreness of hands and feet," "poor spirit," and the like, according to the user card-punching video data, and is used for summarizing the user card-punching video content; wherein the key comment identification may also be added by a user or administrator. The key comment identification is used for laying a foundation for further carrying out model analysis according to the card punching video data.
In one embodiment, the cloud server comprises a gear establishment 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 user health file, and establishing a user database corresponding to the user from the cloud server; when the user uses the cloud server for the first time, the medical institution or the user logs in the cloud server for filling in basic health information and establishing a health file, 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; wherein the user health monitoring data comprises one or more of physical sign monitoring data, environmental monitoring data, positioning data and 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 also connected with an external medical institution system, a weather prediction system and the like, and acquires various data required by analysis of user health monitoring data according to requirements. So as to meet the requirement of the cloud server for big data analysis.
In one embodiment, the user health analysis results include 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 personal health state analysis unit is used for analyzing the personal health state of the user according to the physical sign monitoring data, and comprises the steps of generating an input data set according to basic health information of the user and the physical sign monitoring data acquired in a period of time of the user, inputting the input data set into the trained personal health state analysis model, and acquiring a personal health analysis result of the user, which is output by the personal health state analysis model;
the health effect analysis unit is used for analyzing health effects possibly received by a user according to one or more of physical sign monitoring data, environment monitoring data, positioning data and punching video data, and comprises the steps of generating an input data set according to basic health information of the user and one or more of physical sign monitoring data, environment monitoring data, positioning data and punching video data acquired in a period of time of the user, inputting the input data set and the input data set into a trained health effect analysis model, and acquiring health effect analysis results output by the health effect analysis model;
in one embodiment, the warning module is configured to send corresponding warning information to the wearable monitoring terminal when an abnormality occurs in the personal health analysis result or the health impact analysis result.
In a scene, a personal health state analysis unit trains a personal health state analysis model according to historical health monitoring data and change trends in a user database, acquires the trained personal health state analysis model, inputs sign monitoring data acquired in a period of time into the trained personal health state analysis model, outputs the change trend of the sign monitoring data by the model, and compares the change trend with indexes of all monitoring data (wherein the indexes correspond to chronic disease types of users) to acquire a personal health state analysis result.
In a scene, the current health condition of the user can be obtained as a personal health analysis result of the user by processing the current health condition of the user according to the current physical sign monitoring data of the user and the type of the chronic disease of the user by adopting a cluster analysis model trained according to the physical sign monitoring data and health conditions of a large number of chronic disease patients of the same type.
In one scenario, the health impact analysis unit may train the health impact analysis model based on massive data, e.g. based on the impact of the environmental monitoring data on the sign monitoring data; or according to the positioning data, acquiring the environmental change trend of the region, predicting the change of future environmental monitoring data by combining the current environmental monitoring data, and training a health influence analysis model by combining the influence of the physical sign monitoring data on the health of the user; or training a health influence analysis model and the like according to the key comment identification of the card punching video data and the influence of the sign monitoring data on the health of the user; and further inputting corresponding user health monitoring data into the trained model to obtain a corresponding health influence analysis result.
For example, in one scenario, for chronic disease patients with rheumatoid arthritis, 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, accesses an external system through a model to acquire weather data of the area, compares the current weather data of the area with the current weather data of the area according to environment monitoring data of the user, predicts the change trend of the current weather data of the area and the predicted weather data, and predicts the change of the environment where the user is located; combining comment identification in the user card-punching video data and user sign data (for example, the current sign index of the user is normal, but the user feels tired), and combining the change of the environment where the user is located (for example, the humidity is increased to an exceeding level); thereby, a health influence analysis result (for example, the environment where the user is located is about to seriously influence the illness state of the user) is obtained, so that the user can take preventive measures in advance after the health influence analysis result is obtained.
In one embodiment, the data management module includes an archive unit; wherein,,
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, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the 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 flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted 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. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media 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 for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (1)
1. A big data analysis based health management system, comprising: wearable monitoring terminal and cloud server; wherein,,
the wearable monitoring terminal is used for collecting user health monitoring data and uploading the collected 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; performing big data analysis according to the user health monitoring data in the user database, obtaining a user health analysis result, and sending the user health analysis result to the wearable monitoring terminal;
the wearable monitoring terminal comprises a physical sign monitoring unit, an environment monitoring unit, a positioning unit and a data transmission unit; wherein,,
the sign monitoring unit is used for collecting sign monitoring data of a user, wherein the sign monitoring data comprise one or more of pulse frequency, blood pressure, body temperature and respiratory frequency;
the environment monitoring data are used for collecting environment monitoring data of the environment where the user is located, wherein the environment monitoring data comprise 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 environmental monitoring data and the positioning data to the cloud server;
the wearable monitoring terminal further comprises an image acquisition unit; wherein,,
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;
the cloud server comprises a file establishment 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 user health file, and establishing a user database corresponding to the user from the 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; wherein the user health monitoring data comprises one or more of physical sign monitoring data, environmental monitoring data, positioning data and 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 status 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;
the analysis module comprises a personal health state analysis unit and a health influence analysis unit; wherein,,
the personal health state analysis unit is used for analyzing the personal health state of the user according to the physical sign monitoring data, and comprises the steps of generating an input data set according to basic health information of the user and the physical sign monitoring data acquired in a period of time of the user, inputting the input data set into the trained personal health state analysis model, and acquiring a personal health analysis result of the user, which is output by the personal health state analysis model;
the health effect analysis unit is used for analyzing the health effect possibly received by the user according to the physical sign monitoring data, the environment monitoring data, the positioning data and the punching video data, and generating an input data set according to the basic health information of the user and the physical sign monitoring data, the environment monitoring data, the positioning data and the punching video data acquired in a period of time of the user, inputting the input data and the input data into the trained health effect analysis model, and acquiring a health effect analysis result output by the health effect analysis model;
the health effect analysis unit trains a health effect analysis model based on massive data, and comprises: training a health influence analysis model according to the influence of the environmental monitoring data on the physical sign monitoring data; acquiring environmental change trend of a corresponding region according to the positioning data, predicting the change of future environmental monitoring data by combining current environmental monitoring data, and training a health influence analysis model by combining the influence of the sign monitoring data on the health of a user; training a health influence analysis model according to the influence of the key comment identification of the punching video data and the sign monitoring data on the health of the user; the corresponding user health monitoring data are further input into the trained model, and a corresponding health influence analysis result is obtained;
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, accesses an external system through a model to acquire weather data of the area, compares the current weather data of the area with the environment monitoring data of the user, predicts the change of the environment where the user is located according to the change trend of the current weather data of the area and the predicted weather data; combining comment identification in the user card-punching video data and user sign monitoring data, and combining the change of the environment where the user is located; thereby obtaining the analysis result of health influence.
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| CN113948208A (en) * | 2021-10-20 | 2022-01-18 | 郑州轻工业大学 | Chronic disease patient health real-time monitoring system based on cloud edge-end cooperation |
| CN114010159A (en) * | 2021-11-10 | 2022-02-08 | 中防通用河北电信技术有限公司 | Prediction system for predicting physical health state of user |
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| CN109036557A (en) * | 2018-10-11 | 2018-12-18 | 泰安康尔健医疗科技有限公司 | A kind of intelligent health management platform based on cloud service |
| CN109102881A (en) * | 2018-10-12 | 2018-12-28 | 河北健康侍卫网络科技有限公司 | A kind of intelligence Chinese medicine domestic monitoring alarm system |
| CN111667599A (en) * | 2020-06-09 | 2020-09-15 | 安徽省徽腾智能交通科技有限公司 | Face recognition card punching system and method |
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