Self-service health normalization monitoring system, method and device
Through a self-service health normalized monitoring system, the self-service terminal, cloud platform and client of health data collection is used to solve the problem of low efficiency and convenience of existing health monitoring technologies, and efficient and convenient health data collection and analysis are achieved.
Patent Information
- Application Number
- CN202510126731.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-27
- Publication Date
- 2025-05-30
AI Technical Summary
The existing health monitoring technology is low in efficiency and convenience, difficult to promote on a large scale, and the amount of health data collected is limited, resulting in the inability to detect health problems in a timely manner.
It provides a self-service health normalized monitoring system, including a self-service health data collection terminal, a health data management and analysis cloud platform, and information push and management client, through these components, it realizes automatic collection, storage, management and analysis of health data.
It realizes high-frequency, high-efficiency, low-cost and normalized health data collection and analysis, provides more efficient and convenient health monitoring, reduces dependence on professionals, and improves the convenience of monitoring and the timeliness of data.
Smart Images
Figure CN120072359A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical and health monitoring, and particularly to a self-service health normalization monitoring system, method and device. Background Art
[0002] Currently, myopia, dental caries, obesity, spinal curvature, and mental disorders among children and adolescents have become the five most prominent problems, and the significance of health normalization monitoring is great. In related technologies, due to the low efficiency and convenience of health monitoring, a large amount of manpower and time are required, it is difficult to promote on a large scale, often cannot be carried out frequently, and the amount of health data collected is limited, resulting in the inability to detect health problems in a timely manner. Summary of the Invention
[0003] In view of this, the present invention provides a self-service health normalization monitoring system, method and device to provide more efficient and convenient health monitoring.
[0004] In a first aspect, the present invention provides a self-service health normalization monitoring system, which includes a health data collection self-service terminal, a health data management and analysis cloud platform, and an information push and management client; the health data collection self-service terminal is used to collect the health data of the measured person; the health data includes at least one of ophthalmic data, oral data, basic data, and body posture data; the health data collection self-service terminal is connected to the health data management and analysis cloud platform and sends the health data to the health data management and analysis cloud platform; the health data management and analysis cloud platform is used to store, manage and analyze the health data, and manage the health data collection self-service terminal; the information push and management client is used to display and manage the health data of the measured person.
[0005] In an optional implementation manner, the health data collection self-service terminal includes an ophthalmic screening module; the ophthalmic screening module is used to simultaneously measure at least one of the axial length of the eye, refractive power, and corneal curvature to obtain ophthalmic data.
[0006] In an optional implementation manner, the health data collection self-service terminal includes an oral module; the oral detection module is used to simultaneously measure dental plaque and dental caries to obtain oral data.
[0007] In an optional implementation manner, the health data collection self-service terminal includes a basic data detection module; the basic detection module is used to simultaneously measure height, weight and body composition to obtain basic data; the basic data includes height and weight data and body composition data.
[0008] In an optional implementation manner, the health data collection self-service terminal includes a body posture detection module; the body posture detection module is used to simultaneously measure six body posture data to obtain body posture data.
[0009] In an alternative embodiment, the self-service terminal for collecting health data includes a control module; the control module includes a core board and an edge computing module; the core board controls the operation of the ophthalmic screening module, the oral module, the basic data detection module, and the body posture detection module; the edge computing module performs real-time analysis on the health data, obtains a report, and uploads the report to the health data management and analysis cloud platform.
[0010] In a second aspect, the present invention provides a self-service health normalization monitoring method, which is applied to a self-service health normalization monitoring system. The method includes: displaying a login interface; when receiving a login operation triggered by a user, performing health detection on the user according to a preset process.
[0011] In an alternative embodiment, performing health detection on the user according to a preset process includes: playing an oral detection guidance prompt; when it is detected that the user performs an operation corresponding to the oral detection guidance prompt, obtaining oral data; playing a vision detection guidance prompt; when it is detected that the user performs an operation corresponding to the vision detection guidance prompt, obtaining ophthalmic data; playing a height and weight detection guidance prompt; when it is detected that the user performs an operation corresponding to the height and weight detection guidance prompt, obtaining height and weight data; playing a body composition detection guidance prompt; when it is detected that the user performs an operation corresponding to the oral detection guidance prompt, obtaining body composition data; playing a body posture detection guidance prompt; when it is detected that the user performs an operation corresponding to the body posture detection guidance prompt, obtaining body posture data.
[0012] In an alternative embodiment, the method further includes: if it is detected that the user triggers any detection item on the display device, interrupting the current detection process, and performing health detection on the user according to the detection item triggered by the user.
[0013] In a second aspect, the present invention provides a self-service health normalization monitoring device, which includes: a login module for displaying a login interface; a detection module for performing health detection on the user according to a preset process when receiving a login operation triggered by the user.
[0014] In a third aspect, the present invention provides a computer device, which includes: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the self-service health normalization monitoring method according to the first aspect or any corresponding embodiment thereof.
[0015] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the self-service health normalization monitoring method according to the first aspect or any corresponding embodiment thereof.
[0016] Fifth aspect, the present invention provides a computer program product, including computer instructions for causing a computer to execute the self-service health regular monitoring method according to the first aspect or any corresponding embodiment thereof as described above.
[0017] The technical solutions provided by this application may include the following beneficial effects:
[0018] A self-service health regular monitoring system provided by the present invention consists of three parts: a health data collection self-service terminal, a health data management and analysis cloud platform, and an information push and management client, with clear functions for each part. The health data collection self-service terminal directly interacts with users to collect health data, reducing the dependence on professional personnel and improving the convenience of monitoring. It collects at least one of ophthalmic data, oral data, basic data, and body posture data, enabling a comprehensive assessment of the user's health status. The connection between the health data collection self-service terminal and the health data management and analysis cloud platform ensures the real-time transmission of data, guaranteeing the timeliness and accuracy of the data and improving the monitoring efficiency. The health data management and analysis cloud platform is responsible for storing, managing, and analyzing health data, improving the efficiency of data processing. The information push and management client provides an intuitive interface for users to view and manage their own health data, facilitating long-term health tracking and management for users. Through the organic combination of the above three parts, namely the health data collection self-service terminal, the health data management and analysis cloud platform, and the information push and management client, the above solution realizes high-frequency, high-efficiency, low-cost, and regular health data collection and analysis, providing more efficient and convenient health monitoring. Description of the Drawings
[0019] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.
[0020] Figure 1 is a schematic diagram of a self-service health regular monitoring system according to an embodiment of the present invention;
[0021] Figure 2 is a schematic diagram of the composition of a health data collection self-service terminal according to an optional embodiment of the present invention;
[0022] Figure 3 is a schematic diagram of the appearance of a health data collection self-service terminal according to an optional embodiment of the present invention;
[0023] Figure 4 is a schematic flowchart of a self-service health regular monitoring method according to an embodiment of the present invention;
[0024] Figure 5 is a schematic diagram of the health detection process according to an embodiment of the present invention;
[0025] Figure 6 is a structural block diagram of a self-service health normalization monitoring device according to an embodiment of the present invention;
[0026] Figure 7 is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed implementation manners
[0027] To make the objectives, 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 accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some but not all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0028] In the description of the embodiments of the present application, the term "corresponding" may indicate a direct or indirect corresponding relationship between two parties, may also indicate an associated relationship between two parties, or may be a relationship such as indication and being indicated, configuration and being configured, etc.
[0029] Figure 1 is a schematic diagram of a self-service health normalization monitoring system according to an embodiment of the present invention. As Figure 1 shown, the system includes a health data collection self-service terminal, a health data management and analysis cloud platform, and an information push and management client.
[0030] The health data collection self-service terminal is used to collect the health data of the person to be measured; the health data includes at least one of ophthalmic data, oral data, basic data, and body posture data.
[0031] The main function of the health data collection self-service terminal is to collect the health data of the person to be measured. The health data includes physiological indicators in multiple aspects. Specifically:
[0032] The ophthalmic data includes the corneal thickness of the left and right eyes, the anterior chamber depth of the left and right eyes, the lens of the left and right eyes, the vitreous body of the left and right eyes, the axial length of the left and right eyes, the corneal curvature of the left and right eyes, the corneal astigmatism of the left and right eyes, the average curvature of the left and right eyes, the axial ratio of the left and right eyes, the pupil diameter of the left and right eyes, the pixel size of the pupil diameter of the left and right eyes, the starting pixel coordinate X of the pupil diameter of the left and right eyes, the white-to-white (iris) diameter of the left and right eyes, the pixel size of the white-to-white (iris) of the left and right eyes, and the starting pixel coordinate X of the white-to-white (iris) of the left and right eyes.
[0033] The oral data includes the number of dental caries and dental plaque.
[0034] Basic data includes height, weight, fat percentage, water content, muscle percentage, bone percentage, calories, visceral fat, and BMI.
[0035] The body shape data include the degree of thoracic scoliosis, thoracolumbar scoliosis, lumbar scoliosis, shoulder height, X / O-shaped legs, lateral tilt of the neck, anterior tilt of the neck, anterior pelvic tilt, and lateral pelvic tilt.
[0036] The health data collection self-service terminal can realize the comprehensive collection of the health data of the subject through the above modules.
[0037] The health data collection self-service terminal is connected to the health data management and analysis cloud platform to send the health data to the health data management and analysis cloud platform.
[0038] The health data management and analysis cloud platform is used to store, manage and analyze health data, as well as manage self-service terminals for health data collection.
[0039] The health data management and analysis cloud platform is responsible for the storage, management and analysis of health data, and evaluates and predicts the health status and trends of the subjects through big data analysis. The cloud platform is also responsible for the management of health data collection self-service terminals, including but not limited to equipment status monitoring, remote updates, information sending, etc.
[0040] Information push and management client, used to display and manage the health data of the subjects.
[0041] Users can view the tested health data and analysis results through the client. The client not only displays the current test results, but also supports viewing historical test data to help users understand the changing trends of their own health.
[0042] The information push and management client also has the function of managing health data. Users can maintain and manage their personal information through the client, such as updating personal information, setting reminders, etc. In addition, the client can also receive analysis results and health suggestions from the health data management and analysis cloud platform and push them to users, thereby achieving comprehensive management of health data and personalized services.
[0043] Optionally, the information push and management client provides users with personalized health management services based on the analysis results of the cloud platform. Health management services may include health risk warnings, prevention suggestions, and health improvement plans to help users better manage their own health.
[0044] The health data management and analysis cloud platform sends the analyzed health data and suggestions to the information push and management client, and the information push and management client passes the user's feedback or needs back to the health data management and analysis cloud platform, thus realizing a complete health monitoring and management closed loop.
[0045] In summary, a self-service health normalization monitoring system provided by this embodiment realizes high-frequency, high-efficiency, low-cost, and normalized health data collection and analysis through the organic combination of three parts: a health data collection self-service terminal, a health data management and analysis cloud platform, and an information push and management client, providing more efficient and convenient health monitoring.
[0046] Figure 2 It is a schematic diagram of the composition of a health data collection self-service terminal according to an optional embodiment of the present invention. As Figure 2 shown, the health data collection self-service terminal includes an ophthalmic screening module; the ophthalmic screening module is used to measure at least one of the axial length of the eye, refractive power, and corneal curvature simultaneously to obtain ophthalmic data.
[0047] The ophthalmic screening module includes an external display, a chin tray, a base, a vision and refraction detection module. It supports simultaneous measurement of the axial length of the eye, refractive power, and corneal curvature, and supports unattended autonomous measurement. It adopts Hartmann wavefront sensing technology and low-coherence interferometry technology.
[0048] The health data collection self-service terminal includes an oral module; the oral detection module is used to measure dental plaque and dental caries simultaneously to obtain oral data.
[0049] The oral module includes three large-field cameras, 84 LED lamp beads, and a light source control board. It supports simultaneous measurement of dental plaque and dental caries, and supports unattended autonomous measurement. It adopts quantitative light-induced fluorescence technology and AI algorithms.
[0050] The health data collection self-service terminal includes a basic data detection module; the basic detection module is used to measure height, weight, and body composition simultaneously to obtain basic data; the basic data includes height, weight data, and body composition data.
[0051] The basic detection module includes, but is not limited to, an ultrasonic height sensor, a weight sensor, and a body composition electrode sensor. It supports simultaneous measurement of height, weight, and body composition, and supports unattended autonomous measurement. It uses intelligent algorithms to analyze the human body BMI.
[0052] The health data collection self-service terminal includes a body posture detection module; the body posture detection module is used to measure six items of human body posture data simultaneously to obtain body posture data.
[0053] The body posture detection module includes an RGB body posture camera and a depth camera, supports intelligent evaluation of six items of human body posture data, and supports unattended autonomous measurement. It adopts binocular structured light vision corona and RGB image digital human reconstruction.
[0054] The health data collection self-service terminal further includes:
[0055] Display module, including a main display screen, a speaker, and a secondary display screen of the module. The main screen is used for human-computer interaction, and the secondary screen is used for publicity and guiding display.
[0056] Login module, supporting multiple code system identifications and non-contact identification of IC cards.
[0057] In an optional embodiment, the health data collection self-service terminal includes a control module; the control module includes a core board and an edge computing module; the core board controls the operation of the ophthalmic screening module, the oral cavity module, the basic data detection module, and the body posture detection module; the edge computing module performs real-time analysis on the health data, obtains a report, and uploads the report to the health data management and analysis cloud platform.
[0058] Specifically, the core board can be an Android system. The edge computing module is a small computer, serving as a node for data processing and analysis, and is used to analyze the images and data collected by the health data collection self-service terminal. The edge computing module can run corresponding algorithms or models to perform real-time analysis on the images collected by the terminal. For example, detecting abnormalities (such as diseased areas) in the images and performing feature extraction. After the analysis is completed, the edge computing module can generate report data locally.
[0059] Figure 3 It is a schematic diagram of the appearance of the health data collection self-service terminal according to an optional embodiment of the present invention, as Figure 3 shown, the health data collection self-service terminal includes an ophthalmic screening module, an oral cavity detection module, a height and weight detection module, a body composition detection module, a body posture detection module, a main screen, a secondary screen, a login module, a control module, and a power module.
[0060] Detection modules such as the ophthalmic screening module, the oral cavity detection module, the height and weight detection module, the body composition detection module, and the body posture detection module are used to collect user data. The main display screen is used for human-computer interaction, including display and interaction of login method selection, account login, tourist login detection process, guiding screen display, report viewing, system settings, etc.; the secondary display screen is used for publicity display and display of partial process guiding screens. The login module is used for customers to scan the code or swipe the card to log in to the system. The control module and the power module realize power supply and control of the terminal.
[0061] After the user logs in, the automatic detection process is entered by default. The user can complete all detections and automatically generate a report according to the guiding voice and screen. The automatic detection process is applicable to large-scale screening scenarios and can effectively improve the screening efficiency. During the detection process, the user can click on any detection item to interrupt the automatic detection process and switch to the manual detection mode, and the user needs to select the detection item by himself.
[0062] The health data collection terminal of this embodiment can support single-item testing. After switching to manual mode by touching the screen, the user can choose the items that need to be tested and skip the items that do not need to be tested. The user experience and detection efficiency are greatly improved, and the flexible functional design can also be applied to more scenarios. The health data collection terminal has ophthalmic screening functions, oral detection functions, height, weight and body composition detection, and posture detection. The collection is based on visual images and various sensors. There is no need for direct contact with the human body. The detection process is automated and no personnel are required. It greatly improves the efficiency of vision screening, reduces screening costs, and facilitates normalized detection and screening. The generated health data is based on intelligent analysis of the AI model, and the accuracy of the algorithm is trained through a large number of cases, so as to achieve accurate analysis and prediction of health problems.
[0063] According to an embodiment of the present invention, an embodiment of a self-service normalized health monitoring method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0064] In this embodiment, a self-service normalized health monitoring method is provided, which can be used in the above-mentioned self-service normalized health monitoring system. Figure 4 is a flow chart of a self-service health normalization monitoring method according to an embodiment of the present invention. Figure 4 As shown, the process includes the following steps:
[0065] Step S401, display the login interface.
[0066] When no one is using it, the secondary screen of the health data collection self-service terminal plays a popular science video, and the main screen displays the login interface. The login interface is the starting point for the user to interact with the terminal and is used to authenticate the user's identity. Since the data collected by the terminal needs to correspond to the identity of the person being tested, it is convenient for data storage, analysis and management, so the user's identity needs to be authenticated. Authentication methods include but are not limited to card swiping authentication, code scanning recognition authentication, and account password authentication. Users can choose the login method that suits them through the login interface. By displaying the login interface, the terminal enters standby mode and is ready to receive user operation instructions.
[0067] Optionally, the promotional video is pushed by the health data management and analysis cloud platform, and the health data collection terminal can obtain the latest video content in real time when connected to the Internet. If the collection terminal enters the working state, the video stops playing and the secondary screen switches to the working state.
[0068] Step S402, when a login operation triggered by a user is received, a health check is performed on the user according to a preset process.
[0069] After the user touches the home screen and selects a login method to complete the login, the health detection process is entered according to the user's operation. Figure 5 It is a schematic diagram of the health detection process according to an embodiment of the present invention, as Figure 5 shown. Specifically:
[0070] The user completes the authentication by touching the home screen and selecting a login method. After successful login, the health data collection self-service terminal defaults to the automatic detection mode. The device will perform various health detections in sequence according to the preset process. In each step of the detection, the home screen will display a guiding screen and play a voice prompt to guide the user to complete the corresponding detection actions.
[0071] In the automatic detection mode, the user can click on any detection item at any time according to needs to interrupt the automatic detection process and switch to the manual detection mode. In the manual mode, the user can select the items to be detected by himself and skip the unnecessary detection content, thereby improving the detection efficiency and user experience.
[0072] When all the selected detection items are completed, the device will automatically generate a health report, and the user can view the report content locally. The detection data is uploaded to the health data management and analysis cloud platform for further storage, management and analysis.
[0073] The self-service health normalization monitoring method provided in this embodiment realizes the seamless connection from user login to health detection, ensuring the convenience of operation and the efficiency of the detection process.
[0074] In an optional implementation manner, the process of step S402 includes the following steps:
[0075] Step S4021, play the guiding prompt for oral cavity detection;
[0076] When it is detected that the user performs an operation corresponding to the guiding prompt for oral cavity detection, obtain oral cavity data.
[0077] The health data collection self-service terminal first plays the guiding prompt for oral cavity detection, and the prompt content is informed to the user in the form of the display screen on the home screen and the voice prompt on how to perform the oral cavity detection operation. The user completes the oral cavity detection operation according to the guiding prompt (for example, aligns the teeth with the detection area). After it is detected that the user has completed the operation, the oral cavity data is automatically obtained.
[0078] Step S4022, play the guiding prompt for vision detection;
[0079] When it is detected that the user performs an operation corresponding to the guiding prompt for vision detection, obtain ophthalmic data.
[0080] The self-service terminal for collecting health data plays a guiding prompt for vision detection, and guides the user on how to perform vision detection operations through the display screen on the main screen and voice prompts. The user completes the vision detection operation according to the prompts (for example, placing the chin on the tray, aligning the eyes with the detection device, and controlling the device to align with the eyeball for automatic ophthalmic detection). After detecting that the user has completed the operation, the ophthalmic data is automatically obtained.
[0081] Step S4023, play a guiding prompt for height and weight detection;
[0082] When it is detected that the user performs an operation corresponding to the guiding prompt for height and weight detection, the height and weight data is obtained.
[0083] The self-service terminal for collecting health data plays a guiding prompt for height and weight detection, and guides the user on how to perform height and weight detection operations through the display screen on the main screen and voice prompts. The user completes the height and weight detection operation according to the prompts (for example, standing at the designated position). After detecting that the user has completed the operation, the height and weight data is automatically obtained.
[0084] Step S4024, play a guiding prompt for body composition detection;
[0085] When it is detected that the user performs an operation corresponding to the guiding prompt for oral cavity detection, the body composition data is obtained.
[0086] The self-service terminal for collecting health data plays a guiding prompt for body composition detection, and guides the user on how to perform body composition detection operations through the display screen on the main screen and voice prompts. The user completes the body composition detection operation according to the prompts (for example, tightly holding the handrails with both hands). After detecting that the user has completed the operation, the body composition data is automatically obtained.
[0087] Step S4025, play a guiding prompt for postural detection;
[0088] When it is detected that the user performs an operation corresponding to the guiding prompt for postural detection, the postural data is obtained.
[0089] The self-service terminal for collecting health data plays a guiding prompt for postural detection, and guides the user on how to perform postural detection operations through the display screen on the main screen and voice prompts. The user completes the postural detection operation according to the prompts (for example, going to the designated position according to the guiding screen and making the designated action). After detecting that the user has completed the operation, the postural data is automatically obtained.
[0090] In an alternative embodiment, the method further includes:
[0091] If it is detected that the user triggers any detection item on the display device, the current detection process is interrupted, and the user is subjected to a health check according to the detection item triggered by the user.
[0092] Users can interrupt the current detection process at any time during the detection and switch to the manual detection mode.
[0093] When the user clicks on any detection item on the display device (main screen), the current detection process is interrupted. All optional detection items are usually listed on the display device, and the user can select the items they are interested in by touching the screen. For example, if the user is undergoing a vision test but suddenly clicks on the "posture detection" item, the system will pause the current vision test. According to the detection item triggered by the user, switch to the manual detection mode. In this mode, the user can independently select the order of detection items, skip unnecessary detection content, or re-perform a certain detection. In the manual detection mode, the user completes the operations of the selected detection items according to the guiding prompts (such as on-screen and voice prompts) on the display device. The system sequentially obtains the corresponding health data according to the user's selection.
[0094] As Figure 5 shown, after all items are detected, enter the report generation interface, and the user can view the report locally. After the local report is generated, the data is automatically uploaded to the health data management and analysis cloud platform. When the network is normal, the data is immediately uploaded to the health data management and analysis cloud platform after the user completes the detection. In the case of no network, the data is saved locally after the user completes the detection and is automatically uploaded to the health data management and analysis cloud platform after connecting to the network. The health data management and analysis cloud platform stores, manages, and analyzes the collected data and sends the results to the information push and management client. The user can view the detected data and analysis results through the client, and viewing historical detection data is supported.
[0095] In this embodiment, a self-service health regular monitoring device is also provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.
[0096] This embodiment provides a self-service health regular monitoring device, as Figure 6 shown, including:
[0097] A login module 601, used to display a login interface;
[0098] A detection module 602, used to perform a health detection on the user according to a preset process when receiving a login operation triggered by the user.
[0099] In an optional implementation manner, the above-mentioned detection module 602 includes:
[0100] An oral detection unit for playing oral detection guiding prompts;
[0101] When it is detected that the user performs an operation corresponding to the oral detection guiding prompt, obtain oral data;
[0102] A vision detection unit for playing vision detection guiding prompts;
[0103] When it is detected that the user performs an operation corresponding to the vision detection guiding prompt, obtain ophthalmic data;
[0104] A height and weight detection unit for playing height and weight detection guiding prompts;
[0105] When it is detected that the user performs an operation corresponding to the height and weight detection guiding prompt, obtain height and weight data;
[0106] A body composition detection unit for playing body composition detection guiding prompts;
[0107] When it is detected that the user performs an operation corresponding to the oral detection guiding prompt, obtain body composition data;
[0108] A postural detection unit for playing postural detection guiding prompts;
[0109] When it is detected that the user performs an operation corresponding to the postural detection guiding prompt, obtain postural data.
[0110] In an alternative embodiment, the device further includes:
[0111] A manual detection module for, if it is detected that the user triggers any detection item on the display device, interrupt the current detection process, and perform a health detection on the user according to the detection item triggered by the user.
[0112] The further function descriptions of the above-mentioned various modules and units are the same as those in the corresponding above-mentioned embodiments, and will not be elaborated here.
[0113] The self-service health normalization monitoring device in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.
[0114] This embodiment of the present invention further provides a computer device having the above Figure 6 shown self-service health normalization monitoring device.
[0115] Please refer to Figure 7 , Figure 7The following is a schematic structural diagram of a computer device provided by an alternative embodiment of the present invention. As Figure 7 shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as a server array, a set of blade servers, or a multi-processor system). Figure 7 In
[0116] FIG. 4, one processor 10 is taken as an example.
[0117] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above programmable logic device can be a complex programmable logic device, a field programmable gate array, a general array logic, or any combination thereof.
[0118] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiments.
[0119] The memory 20 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device. In addition, the memory 20 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 can optionally include a memory remotely set relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.
[0120] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 may be connected through a bus or other means. Figure 7 Take the connection through the bus as an example.
[0121] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED), and a haptic feedback device (e.g., a vibration motor), etc. The above display device includes, but is not limited to, a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.
[0122] The embodiment of the present invention further provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented by downloading through a network from an original storage in a remote storage medium or a non-transitory machine-readable storage medium and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiment is implemented.
[0123] A part of the present invention can be applied as a computer program product, such as computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be invoked or provided. Those skilled in the art should be able to understand that the forms of existence of computer program instructions in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible by the computer.
[0124] Although embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims
1. A self-service health normalization monitoring system, characterized in that: The system includes a health data collection self-service terminal, a health data management and analysis cloud platform, and an information push and management client; The health data collection self-service terminal is used to collect the health data of the subject; the health data includes at least one of ophthalmological data, oral data, basic data and body shape data; The health data collection self-service terminal is connected to the health data management and analysis cloud platform to send the health data to the health data management and analysis cloud platform; The health data management and analysis cloud platform is used to store, manage and analyze the health data, and manage the health data collection self-service terminal; The information push and management client is used to display and manage the health data of the subject.
2. The system according to claim 1, characterized in that The health data collection self-service terminal includes an ophthalmology screening module; The ophthalmic screening module is used to simultaneously measure at least one of the axial length, refractive power and corneal curvature to obtain the ophthalmic data.
3. The system according to claim 1, characterized in that The health data collection self-service terminal includes an oral module; The oral cavity detection module is used to simultaneously measure dental plaque and caries to obtain the oral cavity data.
4. The system according to claim 1, characterized in that The health data collection self-service terminal includes a basic data detection module; The basic detection module is used to measure height, weight and body composition simultaneously to obtain the basic data; the basic data includes height, weight data and body composition data.
5. The system according to claim 1, characterized in that The health data collection self-service terminal includes a posture detection module; The posture detection module is used to simultaneously measure six items of human posture data to obtain the posture data.
6. The system according to any one of claims 1 to 5, characterized in that: The health data collection self-service terminal includes a control module; the control module includes a core board and an edge computing module; The core board controls the operation of the ophthalmological screening module, oral module, basic data detection module, and posture detection module; the edge computing module performs real-time analysis on the health data, obtains a report, and uploads the report to the health data management and analysis cloud platform.
7. A self-service health normalization monitoring method, characterized in that: The method is applied to the self-service normalized health monitoring system according to any one of claims 1 to 6, and the method comprises: Display the login interface; When a login operation triggered by a user is received, a health check is performed on the user according to the preset process.
8. The method according to claim 7, characterized in that The health check of the user according to the preset process includes: Play oral examination guidance prompts; When it is detected that the user performs an operation corresponding to the oral cavity detection guidance prompt, obtaining oral cavity data; Play the visual acuity test guidance prompts; When it is detected that the user performs an operation corresponding to the vision test guidance prompt, obtaining ophthalmological data; Play height and weight detection guidance prompts; When it is detected that the user performs an operation corresponding to the height and weight detection guidance prompt, the height and weight data are obtained; Play the guidance prompts for body composition testing; When it is detected that the user performs an operation corresponding to the oral detection guidance prompt, obtaining body composition data; Play posture detection guidance prompts; When it is detected that the user performs an operation corresponding to the posture detection guidance prompt, the posture data is acquired.
9. The method according to claim 8, characterized in that The method further comprises: If it is detected that the user triggers any detection item on the display device, the current detection process is interrupted, and a health check is performed on the user according to the detection item triggered by the user.
10. A self-service health normalization monitoring device, characterized in that: The device comprises: Login module, used to display the login interface; The detection module is used to perform health detection on the user according to a preset process when receiving a login operation triggered by the user.