76 results about "Health reporting" patented technology

The invention discloses an equipment intelligent health state evaluation method, which comprises the following steps: S1, collecting data, and preprocessing multi-source heterogeneous data to form a standardized relational data set; s2, performing multi-index gradient assignment, and performing assignment on core indexes through reference value setting and a linear interpolation method; s3, carrying out comprehensive weight distribution on each core index by adopting a mixed weight distribution mechanism; and S4, constructing a CNN-LSTM hybrid prediction model, extracting key time sequence features in the equipment production operation data through a CNN layer, processing time sequence data through an LSTM layer, learning a long-term dependency relationship, predicting a future equipment health state score, and providing a maintenance suggestion. By constructing a multi-dimensional and dynamic equipment health state scoring system, the problems that a traditional evaluation method is high in subjectivity and insufficient in quantification are solved, transformation from passive maintenance to predictive maintenance is achieved, meanwhile, a visual health report can be generated, and a manager can be assisted in rapidly positioning weak links of equipment and making an optimization strategy.

With the increasing reliance on digitization, evolving business models, and increasing regulatory and compliance requirements, organizations face new and unknown operational risks An example product resiliency and health assessment system provides product-level risk identification, resiliency and health reporting by automatically retrieving and assessing multi-dimensional data, creating a health scorecard to convey discrete measurement of the health of the overall product and the sub-components of the product, and providing actionable remediation plans for identified weaknesses.

The invention discloses a multi-index real-time monitoring exercise cardiopulmonary test method and system, and relates to the technical field of cardiopulmonary function tests.The method comprises the steps that physiological parameters are synchronously collected through a plurality of high-precision physiological sensors, and time synchronization is conducted; performing wavelet transformation on each physiological parameter, extracting multi-scale features, reconstructing normalized physiological parameters, forming a multi-dimensional physiological state vector, performing ventilation compensation point and anaerobic threshold identification, and calculating a plurality of load indexes; and performing standardization processing on the plurality of load indexes, calculating a comprehensive health score, and generating a personalized health report according to the ventilation compensation point, the anaerobic threshold, the comprehensive health score and the time evolution curve. Accurate multi-dimensional data analysis and feature extraction are achieved through multi-scale wavelet transformation and normalization processing, key physiological mutational points are efficiently recognized in combination with dynamic time warping and a multi-dimensional CUSUM algorithm, a personalized health report is generated, real-time health assessment, trend analysis and training suggestions are provided, exercise performance optimization is helped, and exercise injuries are prevented.

The invention discloses a bridge detection method and system based on Internet of Things and big data, and the method comprises the steps: regularly obtaining bridge image data and bridge vibration data, and carrying out the preprocessing of the bridge image data and the bridge vibration data, and obtaining first monitoring data; performing state evaluation on the bridge according to the first monitoring data to obtain a bridge evaluation report, acquiring bridge real-time vibration data as second monitoring data according to the bridge evaluation report, and analyzing the second monitoring data to obtain a bridge health report; and generating a bridge use decision and a maintenance suggestion according to the bridge health report. Through secondary analysis and processing of the data, a comprehensive and complete bridge health report is obtained; the generated use decision can play a role in warning and early warning, for example, for a use decision in a dangerous state, a manager can be prompted to adjust the use of the bridge in time, cope with the crisis of the bridge in time, make up defects in time, and avoid danger caused by update lag.

Methods, systems, and non-transitory computer readable mediums are disclosed for generating health reports. Pet data associated with an entity is received from one or more data sources. Genetic test results data is received from a genetic test results database. The pet data received from the one or more data sources is analyzed with the genetic test results data received from the genetic test results database using an interpretation logic data structure. A result value associated with the pet data and the genetic test results data is determined based on the analysis. One or more result statements associated with the result value are determined and one or more health reports based on the one or more result statements are generated.

The invention discloses a wafer-level integrated system-oriented network-on-chip routing architecture and a working method thereof, the network-on-chip routing architecture forms a two-dimensional mesh topology structure by a plurality of router nodes, and routers are connected with one another through crisscrossed links in four directions; the basic unit of the network-on-chip field area routing architecture is a router; according to the system, flexible configuration of routing tables and functional modules of all routers is realized through a configuration packet in a specific format. The system adopts a detection method based on a heartbeat packet, a router actively sends a heartbeat request to a neighbor and waits for a response, and meanwhile, a layered health state monitoring mechanism is realized at an on-chip network field level. According to the mechanism, a local monitor is responsible for summarizing router and link states in a region, and a global monitor integrates information of each region to generate a field-level health report. The configuration and fault detection method provided by the invention has the advantages of flexibility, high efficiency, high expandability, high detection precision and the like, and is suitable for the network-on-chip in a large-scale wafer-level integrated system.

The invention discloses a block chain sharing method and system based on a vital sign data health report and a storage medium. The method comprises the steps of obtaining a vital sign data health report generated by a user in a family environment, storing target medical report data to a data interaction center based on a target unique identifier and a user public key, and newly adding a first transaction record of the user to the data interaction center on a block chain; determining a public key and a block chain address of a target doctor, obtaining a target medical report data format and generation time provided by the target doctor, and adding a second transaction record from the user to the target doctor on a block chain; and encrypting the target unique identifier corresponding to the target medical report data by using the public key of the target doctor, and newly adding a third transaction record from the user to the target doctor on the block chain, thereby solving the technical problem of ensuring the security and privacy of information transmission in the efficient interaction process of the family medical data information.

The present invention relates to the field of smart elderly care technology, and discloses a community smart elderly care service system, including a user information management module: managing the basic information, physical examination records and sensor data of the elderly; a data acquisition module: collecting the user's physical examination information, vital sign sensor data, and regularly updating the data; a data analysis and processing module: analyzing the user's health data, generating a health report, and performing trend analysis; an intelligent recommendation module: providing personalized lifestyle suggestions based on the user's health status; and a user interaction module: providing a user interaction interface. The community smart elderly care service system proposed in the present invention solves the shortcomings of existing systems in terms of personalized services. Through precise nutritional demand calculation, comprehensive data collection and analysis, social interaction and incentive mechanisms, convenient food delivery and kitchen assistants, etc., the system can provide customized diet plans for the elderly, ensuring that users receive comprehensive and accurate diet management.

The invention provides an intelligent health management system. The intelligent health management system comprises a data acquisition module, a data transmission module, a data processing module, a health assessment module and a health intervention module. The data acquisition module acquires physiological, behavior and environmental data of a user; the data transmission module uploads data in real time through wireless communication; the data processing module adopts a deep learning algorithm to analyze the health data, calculates a health risk score and generates an evaluation result; the health assessment module provides a health report; the health intervention module generates a personalized health regimen based on the evaluation result, including exercise and drug reminders. The system supports time sequence prediction, can early warn health risks in advance, is linked with a medical institution, and provides professional medical suggestions and long-term health management support for users. According to the invention, multi-dimensional health data acquisition, intelligent analysis and personalized intervention are realized, the system is suitable for scenes of personal health management, chronic disease monitoring, community health service and the like, and the real-time performance and accuracy of health management are remarkably improved.

The invention discloses an intelligent wearable product for realizing three-dimensional health monitoring management early warning and multi-dimensional first aid. An index monitoring module monitors human health related indexes in real time all day long; the risk early warning module judges the high, medium and low risk levels of each heart and cerebral vessel index and makes corresponding early warning reminding; the health conditioning module helps to regulate and improve hyperglycemia, hypertension and hyperlipidemia, and provides personalized scientific healthy diet, scientific exercise improvement suggestions and health conditioning schemes for improving emotion and sleep; the health management module generates a motion target recommendation, a sleep target recommendation, a health report and a health portrait; when it is judged that the user is in a high-risk early warning state, the emergency help seeking module automatically enters a first-aid mode, automatically dials to seek help outwards, automatically answers an incoming call, quickly positions an incident point, a nearby medical unit and an AED, and displays a pre-stored medical health electronic file, so that multi-dimensional deployment and control and defense are achieved, and the life and health of the user are protected in a three-dimensional mode.

The invention relates to a flying robot control method for monitoring and early warning the falling risk of old people, and the method comprises the steps: positioning the position of the old people in each room through an ultra-wideband positioning technology and the track of a flying robot, and carrying out the real-time data collection through combining a camera and a sensor; according to the collected multi-modal data, tumble detection is carried out through a tumble detection algorithm, and an alarm signal is sent out in time; a receiver is installed in each room, indoor navigation and path planning among the rooms are carried out, and the receivers in the rooms are parked for continuous monitoring and automatic charging; gait data is collected and analyzed for a long time based on the collected data, the falling risk is predicted, and personalized health suggestions are provided; and a health report is generated by combining cloud analysis and an artificial intelligence technology. Compared with the prior art, multiple innovative technologies such as the flight control technology, intelligent gait monitoring and falling alarm, automatic following and charging are integrated, and comprehensive monitoring, early warning and emergency response to the health of old people are achieved.

The invention discloses a health physical examination data management method and system, and the method comprises the steps: obtaining the health physical examination data of a user, and the health physical examination data comprises the physiological indexes, medical history information, physical examination results and living habit data of the user; performing intelligent evaluation on the health examination data by using a deep learning algorithm to obtain a health state of the user; calculating a comprehensive health risk index of the user according to the health examination data; and based on the health state, the comprehensive health risk index and the health examination data, generating a health report of the user to realize management of the health examination data. According to the embodiment of the invention, comprehensive and accurate health risk assessment can be realized, and a more accurate and personalized health management scheme is provided.

Embodiments provide for data input methods and systems for computer record storage and retrieval. In embodiments, an artificial intelligence system or a computer-based nodal analysis system allows for scanning or document acceptance, sorting, deletion of duplicate materials, storage and retrieval of data for use by individuals, such as health care professionals. Access to the methods and systems may be monitored or allowed according to different criteria such as the satisfaction of a payment criteria.

1. Name of the product of this design: Graphical user interface for health management of electronic devices. 2. Purpose of the product of this design: An electronic device. 3. Key points of the design of this design: The content of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: The main view. 5. Purpose of the graphical user interface: Used to provide health management for users. 6. Human-computer interaction mode of the graphical user interface: The main view is the main page, which displays the user's basic information, human body model, etc. The human body model is surrounded by icons of multiple health items such as "brain" and "skin". When a certain health item of the user is abnormal, the number of abnormal indicators will be displayed in the upper right corner of the icon of the corresponding health item; there are icons of "health detection", "health awakening" and "health report" below the main view. Click "health detection" to enter the interface change state diagram 1. The interface change state diagram 1 displays a pop-up window for health monitoring. Click "quick detection" in the pop-up window in the interface change state diagram 1 to enter the interface change state diagram 2; click "health awakening" in the main view to enter the interface change state diagram 3. The interface change state diagram 3 displays a video list. Click the video cover in the video list to enter the interface change state diagram 4. Click the abnormal health item icon in the main view to enter the interface change state diagram 4. 7. Other situations that need to be explained. Change state description: The main view reference diagram and interface change state reference diagrams 1~5 are reference diagrams for the main view and interface change state diagrams 1~5 respectively. 8. Other situations that require explanation: Other explanations: XXX in each view represents replaceable text, and the painted gray blocks represent replaceable pictures or videos.

The technical scheme of the present application discloses a kidney transplantation single disease follow-up database system based on a hospital intranet environment, comprising a data integration layer, an intelligent analysis layer and a doctor-patient linkage layer. Through the cooperative operation of the three-layer technical architecture designed by the present application, the three core problems of the prior art are comprehensively solved, and the following technical effects are achieved: at the data integration level, automatic and real-time integration of multi-port medical data of kidney transplantation patients is realized, the data integration efficiency is improved by 90%, the accuracy rate reaches 99.5%, and the traceability and privacy security are significantly improved; at the data analysis level, the AI-driven analysis model realizes automatic generation of patient whole-cycle health reports, large-sample group feature mining and real-time abnormality early warning, and the doctor data analysis workload is reduced by 80%, and the abnormal data response time is shortened to the minute level.

A smart home linkage and intelligentization system based on user physique data comprises a body fat scale, a data processing module, a smart furniture control module and a user terminal, the user terminal is connected with the data processing module through a network, and the data processing module is connected with the smart furniture control module through the network. The intelligent furniture control module is connected with the body fat scale through a wireless signal, the body fat scale is provided with a data acquisition module and a data transmission module, the system can generate a health report and life suggestions according to individual physique data of a user, and personalized health management is achieved. The user can obtain targeted health guidance, and the overall health level is improved.

The application discloses a kind of campus health management system and method based on group benchmark analysis, comprising: data acquisition module, for collecting the health and behavior data of student individual, and implementing data anonymization processing;Data processing and analysis module, including group clustering unit, for clustering the anonymized student individual data into homogenization analysis group according to student group attribute;Benchmark generation unit, for calculating the dynamic statistical benchmark band of one or more health indicators in each analysis group based on historical data within the set time window;Individual comparative analysis unit, for comparing each student individual data with the dynamic statistical benchmark band of corresponding health indicators of its analysis group, and calculating the relative deviation of individual health indicators;Early warning and report generation module, for triggering hierarchical early warning according to individual comparative analysis result, and generating visual health report. It can be widely applied to the field of campus health management technology.

The invention discloses a health report generation method and device for equipment, the equipment and a storage medium, and the method comprises the steps: carrying out the configuration of a health report template for the equipment through an execution engine, and enabling the health report template to comprise an equipment state, a PHM or PdM service type and a service attribute; and generating a health report of the equipment on a specified platform according to the source data and the health report template, and displaying the health report on a report interface. The health report generated by customizing the health report template containing the PHM or PdM service type not only contains the fault information of the equipment, but also comprises the maintenance strategy and the predicted fault point, so that maintenance personnel can conveniently maintain the generated fault in time based on the maintenance strategy, the interruption of an equipment assembly line is avoided, and the maintenance efficiency is improved. And compatibility of different framework platforms is supported, and the universality and flexibility of the system are improved.

In one example, an ambulatory medical device is provided. The ambulatory medical device includes a plurality of subsystems, at least one sensor configured to acquire data descriptive of a patient, a user interface and at least one processor coupled to the at least one sensor and the user interface. The at least one processor is configured to identify subsystem status information descriptive of an operational status of each subsystem of the plurality of subsystems and to provide a device health report for the ambulatory medical device via the user interface, the device health report being based on the operational status of each subsystem.

The invention discloses a health detection system and method. The system comprises a server and health detection equipment, the health detection equipment comprises a control module, a communication module and a health detection module; the health detection module comprises a detection module used for obtaining health data; the comparison module is used for comparing the health data with a health standard and outputting a health result; the health standards at least comprise health judgment standards, and if the health data meet the health judgment standards, the health result is normal; if the health data does not meet the health judgment standard, the health result is abnormal; the health detection equipment transmits health data and / or health results to the server through the communication module; the server comprises a report generation module which is used for receiving the health data and / or the health result and generating a health report in combination with historical data of the health data and / or the health result; and the data storage module is used for storing the health data, the health result and the health report.

This application relates to the field of nebulizer technology, and more particularly to a health monitoring method and system based on a nebulizer. The method includes: acquiring the nebulizer's on / off frequency; acquiring the user's current respiratory rate based on the on / off frequency; determining whether the current respiratory rate meets preset health requirements; if the current respiratory rate does not meet the preset health requirements, acquiring the user's target information, current status, and historical diagnostic records; acquiring a frequency calibration coefficient based on the target information, current status, and historical diagnostic records; acquiring a calibrated respiratory rate based on the current respiratory rate and the frequency calibration coefficient; generating a health report based on the calibrated respiratory rate, and sending the health report to the user terminal. This application helps improve the accuracy of health reports, meeting the user's need for real-time and accurate monitoring of respiratory rate and obtaining health reports during nebulizer treatment.

1. The name of this design product: Graphical user interface for health reports of electronic devices. 2. The purpose of this design product: for an electronic device. 3. The design points of this design product: the graphical user interface. 4. The picture or photo that best illustrates the design points: the main view. 5. Other views are conventionally designed and other views are omitted. 6. The purpose of the graphical user interface: used in digital medical and nursing systems to display the sleep data of the elderly. 7. Human-computer interaction method of the graphical user interface: the main view modularly displays the sleep indicators, breathing details, and sleep details of the elderly. Click on the modules corresponding to the sleep indicators, breathing details, and sleep details to view the corresponding detailed data; the main view interface reference diagram corresponds to the main view. Move the mouse to the corresponding module to display the corresponding pop-up explanation.

The invention relates to the technical field of smart televisions, in particular to a health monitoring method and device, computer equipment and a storage medium, and the method comprises the steps: collecting a human body image of a user based on image collection equipment connected with a television terminal, collecting first body data of the user based on sensing equipment connected with the television terminal, decomposing the human body image, and analyzing the first body data; determining second body data and emotion data of the user, determining posture data of the user, obtaining body function data, and generating a user health report according to the body function data, the emotion data and the posture data. A face image and a limb image are obtained by collecting a human body image and first body data of a user, and second body data, emotion data and posture data are determined, so that a user health report is generated and displayed on a television terminal. Therefore, the television terminal is used for carrying out data analysis on the human body behaviors of the user, health monitoring based on the television equipment is realized, and the intelligent degree of health monitoring of the television equipment is improved.

The invention discloses a control method and system of an intelligent physical therapy health care bed, relates to the technical field of equipment control, and aims to reduce the abnormality of physiological sign data as an optimization target, optimize a massage path by using a pre-trained genetic algorithm, and execute the optimized massage path by a physical therapy bed, so as to improve the physical therapy health care efficiency. A risk value is generated according to the abnormal state of the physiological sign data of the user, if the risk value exceeds a risk threshold value, the current massage strength and rhythm are optimized, after feedback data of the user is collected, an existing massage mode library is updated in a new massage mode, and the health state of the user is evaluated according to the sign feedback data. If the health state is in a descending trend, generating a health report for the user and constraining a pushing interval of the health report; and providing a corresponding maintenance scheme for the physiotherapy couch through the physiotherapy couch fault maintenance knowledge graph. Verification and evaluation of the massage physiotherapy effectiveness of the physiotherapy couch are realized, and targeted treatment can be carried out when an expected effect is not obtained.

The invention discloses an intelligent medical bracelet system, and relates to the technical field of intelligent health assessment. The intelligent medical bracelet system comprises a data acquisition module, a change analysis module, an evaluation analysis module and a judgment analysis module, the data acquisition module is used for continuously acquiring cardiovascular measurement data, respiration measurement data and skin measurement data of a patient in a plurality of time periods, and the change analysis module is used for comprehensively analyzing the cardiovascular measurement data, the respiration measurement data and the skin measurement data of the patient in the plurality of time periods. According to the method, multiple physiological data, such as cardiovascular, breathing and skin health indexes, of the patient can be monitored in real time, the change trend of the health condition can be recognized through continuous time period data collection and analysis, a dynamic health report is provided for the patient, and the patient can be monitored in real time. The real-time monitoring can help doctors and patients to find potential health problems or risks in time.

The invention discloses a medical environment analysis system based on deep learning and the Internet of Things technology, and relates to the technical field of medical environment analysis, after behavior mode data of an old user is identified, if the similarity between the behavior mode data and a target behavior mode is lower than expectation, the collection frequency of life state data is constrained according to the similarity; collecting real-time health index data of the elderly user, and if the health state index data is abnormal and the abnormal degree exceeds the expectation, outputting activity state data of the elderly in real time; identifying the health score of the elderly, sending out a multi-level alarm to the outside when the health score is lower than the expectation, and generating a comprehensive health report; and according to the relationship between the health score and the health threshold value, a corresponding processing mode is adopted for the elderly user in the non-health state. Through a multi-level alarm mechanism, when the health state of the elderly user is abnormal, processing can be carried out in time, and omission of the abnormal condition is avoided.

The embodiment of the present application provides a health risk assessment method and assessment system, computer equipment, and storage medium, which belongs to the field of artificial intelligence technology. The method includes: obtaining a health report image of a target object; performing text recognition on the health report image using a pre-trained text recognition model to obtain a first text information; performing text matching on the first text information according to pre-set risk association dictionary information to obtain multiple groups of keyword data information; performing risk calculation based on multiple groups of keyword data information to obtain risk calculation results; performing risk assessment on the target object according to pre-set risk assessment rules and risk calculation results to obtain risk assessment results. The embodiment of the present application can improve the efficiency and accuracy of health risk assessment.

1. Name of the product in this design: Body of a graphical user interface for health management of electronic devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are: the parts within the graphical user interface, with the area outside the dotted lines being the protected area. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: The overall interface is used for health management; it is required that a portion of the interface be protected for importing examination reports, using an AI model to interpret and analyze the body's health abnormalities and risks, and generating a follow-up examination plan to remind users to manage their health. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, users can click the "+Family" control to add family members, click the "Review" control to view the review plan, view the health overview data on the left side of the interface, click on various indicator controls to enter the corresponding data analysis page, click on the "Supplementary Report" or "View Risk" controls to enter the corresponding function details page, click on the organ controls in the human body model on the right side of the interface to enter the corresponding organ status details page, and click on the body part partition controls in the tab bar at the bottom of the interface to enter the corresponding details page. In the main view of Design 2, users can click the circular avatar control to switch the display of the corresponding family member's health report, click the "+" circular control to add family members, click the "Review" control to view the review plan, view the health overview data information on the left side of the interface, click on various indicator controls to enter the corresponding data analysis page, click on the "Supplementary Report" or "View Risk" controls to enter the corresponding function details page, click on the organ controls in the human body model on the right side of the interface to enter the corresponding organ status details page, and click on the body part partition controls in the tab bar at the bottom of the interface to enter the corresponding details page. In the main view of Design 3, users can switch between Chinese and English language modes, add family members by clicking the "+Family" control, and import inspection reports by clicking the arrow control in the bubble box at the bottom of the interface. In the main view of Design 4, when the user clicks on the chest area of ​​the human body model on the right side of the interface, the interface changes to a different state.

The invention relates to a city-wide dual-active trackside security platform system, a main and standby arbitration method and equipment, the system comprises two independently deployed centers and a distributed arbitration point, and each center internally comprises a plurality of copies of redundant design; main and standby negotiation messages are exchanged among all the copies of the double centers, and the copies make a main copy decision according to a main and standby updating rule based on the main and standby negotiation messages and update own main and standby states; the double centers can only have one main copy, and other copies are redundant standby copies; the copies send heartbeat to a distributed arbitration point, and the distributed arbitration point periodically sends a health report to each copy to inform each copy of the health state and the main / standby state; and when the replica cannot receive the central message of the opposite side, the main replica is decided through the health report and the main / standby state assistance, and the main replica outputs data to the outside. Compared with the prior art, the method has the advantages of quickly deciding the primary copy, ensuring the unique primary copy when the communication between the centers is abnormal, and the like.

The invention belongs to the technical field of health monitoring, and particularly relates to a senile dementia risk home monitoring method based on multi-modal behavior analysis, which comprises the following specific steps: monitoring human body postures in real time, analyzing repeated actions, synchronously early warning abnormal movement, and carrying out voice interaction operation through a built-in AI dialogue terminal; performing behavior, emotion and physiology correlation modeling, executing cognitive decline dynamic evaluation through cognitive function self-test, and judging a risk level according to an analysis and evaluation result; executing a multi-level early warning mechanism based on the risk level information, and automatically taking corresponding emergency measures; the threshold value is dynamically calibrated by integrating user habit data, a closed-loop feedback mechanism is designed to realize false alarm suppression, and a monthly health report is synchronously generated to assist a doctor in adjusting an intervention scheme. The problems that in a traditional monitoring mode, tiny behavior changes are difficult to capture, rescue is delayed due to subjective evaluation hysteresis and passive response, the screening frequency is low, and the scene is limited can be solved.