61 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 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 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 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.

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.

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.

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.

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.

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.

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.

A resource deployment health report graph that defines a first plurality of resource dependencies set as a needed resource dependency type and a second plurality of resource dependencies set as an optional resource dependency type is generated prior to resources being connected in a container-based environment. An analysis of the resource deployment health report graph is performed to determine a status of each of the first plurality of resource dependencies and each of the second plurality of resource dependencies. It is determined whether each of the first plurality of resource dependencies and the second plurality of resource dependencies is marked ready in the resource deployment health report graph based on the analysis. In response to determining that each of the first plurality of resource dependencies and the second plurality of resource dependencies is marked ready, it is determined that an actual deployment is successfully implemented in the container-based environment.

The invention relates to an Internet of Things platform health monitoring and analysis method and system, and belongs to the technical field of health monitoring and analysis, and the method comprises the steps that an intention analysis module receives a user natural language query, and extracts a structured monitoring intention; a PromQL generation module matches a preset template library according to the structured monitoring intention to generate a compliant PromQL; the monitoring source intelligent selection module determines a priority monitoring source according to the structured monitoring intention and the compliance PromQL, and defines a switching rule; the HTTP request module sends a parameter acquisition request to the priority monitoring source to acquire original JSON data; the result judgment module judges that the state of the original JSON data is successful and the data result is non-null, and determines that the original JSON data is valid data; the multi-dimensional data analysis module analyzes the original JSON data to obtain an analysis result and an optimization suggestion, and outputs the analysis result and the optimization suggestion; and the report generation module integrates the process information according to a preset structure and outputs a health report.

According to the intelligent health physical examination equipment based on face recognition and the physical examination method thereof, a control host is used as a core and is connected with a first camera, a second camera, a pulse diagnosis device, a blood pressure detection wrist strap, a main display screen, an auxiliary display screen and a printer, and multi-dimensional health data collection and processing are achieved. Starting the control host and performing self-inspection on the equipment, acquiring a face image through a first camera, performing gray standardization, improved MTCNN detection, 3D posture correction and improved ResNet-50 feature extraction, completing identity verification and associating with an electronic health record in combination with dynamic threshold judgment; a second camera, a pulse diagnosis device and a touch screen respectively collect tongue diagnosis and face diagnosis, pulse diagnosis and inquiry diagnosis data to generate preliminary physical examination data; the health data and the identity information are bound, are uploaded to a cloud platform after being mixed and encrypted, and are locally backed up; the control host generates a health report based on feedback of the cloud platform or local data and pushes the health report to a user mobile phone and a hospital HIS system, and the cloud platform constructs a user portrait and provides personalized health services and intervention plans.

The invention discloses a health index detection system and method based on a contact type wearable device. The health index detection system comprises the contact type wearable device, a data acquisition module, an AI algorithm module and a user interface module. The health index detection method comprises the steps of equipment initialization and wearing detection, physiological data acquisition and preprocessing, AI algorithm analysis and index calculation, and health report generation and display. The wearable device has the advantages that the wearable device integrates various types of sensors, the data acquisition module dynamically adjusts the sampling frequency, the sampling frequency is encrypted and transmitted to the cloud and the terminal after preprocessing, the AI algorithm module adopts a hybrid machine learning model to calculate 30 + health indexes, and basic and advanced index layers and dynamic weight fusion are included. Visual data, early warning prompts and personalized suggestions are displayed on a user interface, docking of trend prediction and a medical system is supported, the detection method comprises the steps of equipment initialization, data acquisition and preprocessing, AI analysis and report generation, and comprehensiveness and accuracy of health monitoring are improved.

A resource deployment health report graph that defines a first plurality of resource dependencies set as a needed resource dependency type and a second plurality of resource dependencies set as an optional resource dependency type is generated prior to resources being connected in a container-based environment. An analysis of the resource deployment health report graph is performed to determine a status of each of the first plurality of resource dependencies and each of the second plurality of resource dependencies. It is determined whether each of the first plurality of resource dependencies and the second plurality of resource dependencies is marked ready in the resource deployment health report graph based on the analysis. In response to determining that each of the first plurality of resource dependencies and the second plurality of resource dependencies is marked ready, it is determined that an actual deployment is successfully implemented in the container-based environment.

Method and system for a health monitoring system for a wellhead valve including a plurality of sensors disposed on the wellhead valve to measure parameters, an automated rotating tool to rotate the wellhead valve, and a central monitoring system including a computer processor connected to the and the automated rotating tool to control and rotate the automated rotating tool at a predefined schedule to observe integrity data, process the parameters and integrity data, determine a health report related to the wellhead valve based on the processed parameters, and transmit an alert including a maintenance notification based on the health report using a wireless connection to a display. The system further includes a solar panel coupled to the sensors, the automated rotating tool, and the central monitoring system configured to harness solar energy to power the sensors, the automated rotating tool, and the central monitoring system.

The invention discloses a health report generation method, wearable equipment and a storage medium, and relates to the technical field of physiological signal processing, and the method comprises the steps: obtaining a target physiological signal detected by a target user in a current time period based on the wearable equipment, and determining a target physiological feature according to the target physiological signal; collecting detection environment parameters of the wearable device in the current time period; according to the target physiological signal, blood pressure change factor information causing change of the blood pressure value level of the target user is obtained through recognition; a health report is generated according to the obtained first blood pressure baseline feature, the target physiological feature, the detection environment parameters and the blood pressure change factor information, and the first blood pressure baseline feature is a reference value corresponding to each physiological feature in the standard human body state. According to the method and the device, the convenience of the wearable equipment is utilized, and the blood pressure change factor information, personalized reference characteristics and other information are comprehensively considered, so that the detection cost is reduced, and meanwhile, the accuracy of health optimization suggestion generation is improved.

The invention provides a method and system for generating a health report based on food image recognition, and the method comprises the steps: obtaining and recognizing a first image and a first weight of ingested food, obtaining a first nutrient component and a corresponding first nutrient content of the ingested food, and inputting the first nutrient component and the corresponding first nutrient content into a digestion and absorption model of a user, obtaining a second nutrient component actually absorbed by the user and a corresponding second nutrient content; based on the difference of the physical state data before and after the diet, the second nutritional ingredient and the corresponding second nutritional content, evaluating to obtain a health report of the user; the method comprises the following steps: acquiring an image and weight of ingested food, analyzing based on a digestion and absorption model of a user to obtain nutritional ingredients actually absorbed by the user and corresponding contents, and comprehensively evaluating a health report of the user in combination with a state difference between first physical state data and second physical state data before and after ingestion of the user; the diet of the user is automatically monitored, and health assessment is performed in combination with the digestion and absorption capacity of the user, so that the assessment accuracy is improved.

The invention provides a health report generation system and method and electronic equipment, and relates to the technical field of health assessment, and the system can automatically generate a health report of a user, and especially has high execution efficiency and good effect for automatic generation of the health report of a specific organ.

The invention discloses an AI-based health management service product distribution platform, and relates to the technical field of distribution platforms, and the platform comprises a supplier management module which is automatically networked and carries out the automatic examination and verification of the qualification of an applied platform supplier, so as to guarantee the good quality, price and supply chain stability of a product supplied by a supplier. According to the health management service product distribution platform based on the AI, the health data acquisition module and the AI intelligent analysis module are arranged, so that the platform can automatically analyze the health condition of the user according to the health data input by the user, and performs accurate category recommendation on the user according to the combination of the analyzed disease and the products on the platform; according to the method and the system, the user can quickly select the product required by the user according to the condition of the user, and the provided health report is convenient for the user to know the condition of the user and the treatment direction more clearly, so that the platform experience feeling of the user is improved, and the product selection speed of the user is also improved.

1. Name of the design product: Graphical user interface for health assessment of electronic devices. 2. Use of the design product: An electronic device. 3. Design key points of the design product: Lies in the graphical user interface. 4. Picture or photo that best shows the design key points: Front view. 5. Use of the graphical user interface: For interpreting health record information and health assessment. 6. Other circumstances that need to be explained: Other explanations: Click on the "Health Indicator" icon in the front view to enter the change state diagram 1, the health report generation interface. After the health report is generated, enter the change state diagram 2, the health report information interface. Swipe up on this interface to view more report information.

The invention provides an intelligent prediction and analysis system for a group health trend, and the system carries out the real-time collection, intelligent analysis and prediction of group health data through a big data technology and an artificial intelligence algorithm, generates a group health trend report, and carries out the health risk assessment. The system comprises a health data acquisition module, a data storage and management module, a health trend analysis module, a group health risk assessment module and a health report output module, can provide an effective health intervention strategy for public health departments and medical institutions, and improves the accuracy and efficiency of group health management. The system can generate a personalized health report according to the real-time health data of a group, and ensures that group members can obtain the latest health state at any time through multi-platform sharing.

The invention discloses a medical software intelligent health data analysis method based on cloud computing, and the method comprises the following steps: S1, collecting and preprocessing health data of a user, and uploading the health data to a cloud computing platform; s2, performing feature learning and dimension reduction processing on the health data by using a variational self-encoding model, and extracting health data features; s3, initializing positions and speeds of wolf pack individuals by using a variational auto-encoder; s4, evaluating the fitness of each wolf pack individual in the feature space, and searching an optimal health data feature subset; s5, evaluating the health risk of the user, and predicting possible diseases; s6, generating personalized health management suggestions, and providing health early warning information; and S7, providing a dynamic health report for the user. According to the invention, a wolf pack algorithm, a variational self-encoding model and a data analysis and management technology of a cloud computing platform are combined, and intelligent health data analysis of medical software based on cloud computing is realized.