268 results about "Health examination" patented technology

The invention discloses a tunnel full-section high-speed dynamic health detection device based on an active panoramic vision. Hardware of the device comprises a tunnel detection trolley, an active panoramic vision sensor, an RFID reader and a processor. System software comprises an omnibearing face laser information analysis and point cloud data obtaining unit, a tunnel center axis extracting unit, a noise reducing and adjustment processing unit, a three-dimensional modeling and deformation analyzing unit, a full tunnel all-section cross section benchmark database, a full tunnel longitudinal section splicing unit, a displacement monitoring and sedimentation monitoring unit, a full tunnel health examination result database and a tunnel longitudinal section variable shift amount three-dimensional visualization unit. Transverse and longitudinal deformation of a tunnel are analyzed and recognized by carrying out machine vision processing on laser scanning fracture surface slice images of the inner wall of the tunnel. The invention further provides a tunnel full-section high-speed dynamic health detection method based on the active panoramic vision, and effective technology support is provided for daily maintenance of tunnels of metros and high-speed rails.

Techniques for proactively and reactively running diagnostic functions. These diagnostic functions help to improve diagnostics of conditions detected in a monitored system and to limit/quarantine the damages caused by the detected conditions. In one embodiment, a health monitor infrastructure is provided that is configured to perform one or more health checks in a monitored system for diagnosing and/or gathering information related to the system. The one or more health checks may be invoked pro-actively on a scheduled basis, reactively in response to a condition detected in the system, or may even be invoked manually by a user such as a system administrator.

The invention relates to a health risk assessment and disease early warning information system, and belongs to the technical field of health management. The system comprises an employee health management system and a personal health system; the employee health management system comprises 11 modules such as an employee basic information management module, an employee health data acquisition module,and an employee health questionnaire management module; the personal health system consists of an ordinary user registration sub-module, a personal information management sub-module, a personal health history management sub-module, a daily health monitoring sub-module, a medical sick rest management sub-module, a health questionnaire sub-module, an annual health examination sub-module, a health condition assessment sub-module, a disease risk assessment sub-module, a health promotion management sub-module, and a health consultation forum sub-module. The health risk assessment and disease earlywarning information system forms an integrated network management mode of health management, health risk assessment and health risk intervention control.

The invention discloses a multifunctional human health self-examination system. The self-examination system comprises health self-examination terminal equipment, mobile phone supported application software and a remote service database. According to the health self-examination system, a health examination terminal is transformed and multiple functions, small size and light weight are achieved. The self-examination system integrates the functions of examination on human health of heart rate, blood oxygen, body temperature, electrocardiogram and blood pressure as well as the functions of a timer and a thermometer; the upward migration of a complex algorithm is achieved by virtue of the computing and processing capability of a mobile phone and the burden of the health self-examination terminal equipment is reduced; the exanimation results can be showed by the mobile phone as well as various charts, curves, voices and animations and are timely and regularly uploaded to the remote service database; by virtue of remote cloud computing, the intelligent analysis on big data of remote service is achieved, a remote self-evaluation system is achieved on a search engine; besides, familiarity number and social contact platform management are introduced, and the functions of data interaction with a mobile phone terminal, business management, report user management, health data management, system initialization, statistical report forms, data forwarding and information pushing are provided.

The invention provides a load balance system. The system is used for performing load balance configuration on a cloud node allocated on the basis of OpenStack, and comprises a load balance module, a plurality of monitoring modules and a plurality of back end modules, wherein the load balance module is at least used for providing load balance service to the cloud node; the monitoring modules are used for performing balance calculation on the load of the cloud node and performing dynamic health examination on the back-end modules; the back-end modules are used for setting service weight corresponding to the cloud node; configuration operation for starting and/or deleting back-end service instances is dynamically executed to a network application environment of the cloud node according to configuration parameters of the updated load balance system. Through the system, the problem of load unbalance of the cloud node caused by concurrency of network access in an OpenStack-based cloud platform is solved, monitoring including health examination is dynamically performed on the back-end modules, and forward of a network request is performed according to a selective service instance with an optimal forward strategy; the system can be applied to various network topological structures, and the reliability of the cloud node is improved.

In a case of right and left eye fundus image sensing in a mass health examination, the alignment of an anterior segment of an eye to be examined is performed first (S101). When the alignment of the anterior segment of eye is completed, image sensing light intensity is set (S102). The alignment of a fundus segment of the eye to be examined is performed (S103). Furthermore, an image of the fundus of the eye to be examined is sensed by a sensing switch being pushed after the completion of focus adjustment (S104). Next, an optical base unit is moved so that the image sensing of another eye can be performed (S105). A left or right eye detection unit detects that an eye for image sensing is changed with the move of the optical base unit. When the eye for image sensing is changed, an image sensing light intensity setting unit sets image sensing light intensity by adding a predetermined amount, or changing the sets image sensing light intensity according to a diameter of a pupil (S106). Then, alignment and the like are performed similarly to S101 and S103 (S107, S108), and an image of another eye is sensed.

The invention provides a method for measuring materials inside human single blood erythrocyte by mocro-fluidic chip chemiluminescence, which can analyze the contents of cysteine, glutathione and hemoglobin in a single blood erythrocyte. An electrophoresis chemiluminescence detection system of a mocro-fluidic chip is adopted; five power supply output ends of a high voltage power supply are respectively connected with a buffer solution pool B, a sample pool S, a waste liquie pool SW, a chemiluminescence reagent pool R and a buffer waste liquie pool BW of the mocro-fluidic chip; the mocro-fluidicchip is arranged on an objective lens of a chemiluminescence detector; the chemiluminescence detector is an inverted microscope combined with a photomultiplier; the photomultiplier is electrically connected with a data collector; and the data collector is electrically connected with a computer. The method can carry out early diagnosis on occurrence of lesions by measuring the increased degree ofthe concentration of the glutathione and the cysteine in the single blood erythrocyte, has high analysis speed, high sensitivity and high resolution, is suitable for early diagnosis to health examination and the lesions of a human body, and can be used as an effective means of preventive medicine.

The invention discloses a health examination assistant system based on a mobile phone client and an implementation method. The system can offer the function of making a health examination appointment, queuing up and generating an electronic medical report for realizing personalized medical project selection, reasonably planning the daily number of people taking health examination, shortening waiting time of each health examination item and collecting evolution and suggestion of the users on the health examination process, thus the health examination is more convenient and the health examination experience is improved. The system comprises a health examination center database, a health examination center control platform and a user mobile client. The health examination center database and the health examination center control platform are connected to the network through an interchanger arranged in the hospital for exchanging the data; the mobile client is connected to the internet through mobile wireless network of operator, visits a server of hospital through a network interface for obtaining the access interface of the health examination center database.

The present invention discloses a disease risk assessment and personalized health report generation system and method. The method comprises: inputting longitudinal health examination big data; arranging the data; defining the threshold range of various indicators of the disease according to the name of the disease, and using the sas software to establish a corresponding disease queue according to the threshold range of various indicators of the disease; and after establishing the queue, using the cox single factor regression analysis method to carry out variable selection on each variable; carrying out multi-factor regression analysis on the variables incorporated into the cox regression model; establishing a cox proportional risk model; verifying the inside of the cox proportional risk mode, and verifying the outside of the cox proportional risk model; obtaining a disease prediction model; generating a disease risk assessment hyperbola; inputting new individual physical examination indicators, generating disease risk assessment results according to the disease prediction model and the disease risk assessment hyperbola, and outputting a disease risk assessment and personalized health report according to the preset indicators.

The embodiment of the invention discloses a cloud data center Kubernetes cluster container health examination method and a cloud data center Kubernetes cluster container health examination device. Themethod comprises the steps as follows: according to a cluster container health examination strategy preset by a user, a liveness probe periodically examines the health state of a container in a container cluster administrator Kubernetes cluster according to a predetermined time, and acquires the running state of a container application in the Kubernetes cluster; if the running state of the container application is found to be abnormal, the container ends, and rebuilding is performed according to a preset restarting strategy of the container application. According to the method and device provided by the embodiment of the invention, the running state of the container can be acquired, the container with the abnormal running state can be automatically offline, and the service is automatically recovered by the way of restarting the service, and the stability of the application in the container cluster is ensured.

The invention relates to a knowledge base-based automobile remote intelligent diagnosis method and system. The method comprises the following steps: establishing an automobile health examination model; acquiring the data flow of the current automobile; and substituting the data flow of the current automobile into the automobile health examination model to obtain the health examination report of the current automobile. The system comprises an automobile health examination model establishing module, a current automobile data flow acquisition module and a current automobile health examination report generation module, wherein the automobile health examination model establishing module is used for establishing the automobile health examination model; the current automobile data flow acquisition module is used for acquiring the data flow of the current automobile; and the current automobile health examination report generation module is used for substituting the data flow of the current automobile into the automobile health examination model to obtain the health examination report of the current automobile. According to the knowledge base-based automobile remote intelligent diagnosis method and system, the problem that the automobile failures and risks are lag in response and depend on the repairmen can be solved, and predictive abnormity diagnosis can be carried out through the data flow and intelligent computer analysis can be carried out through the automobile health examination model so as to correctly find the reasons of problems.

The invention discloses a system and a method for analyzing health data. The system for analyzing health data comprises a health data input module for receiving health data of the user; a rule allocation module for allocating rule of the health data; and an analysis module for analyzing the health data according to the rule in order to obtain analysis result. The system of analyzing health data achieves individual analysis of the health data by allocating rule automatically. The health condition of the user can be evaluated comprehensively in a multi-angle and multi-level manner by combination of allocation rules of survey data, historical health examination data and present health examination data.

The invention provides a message pushing method, a server, a client terminal and a system. The method comprises the following steps that a health examination server sets up the connection with the client terminal according to a connection request of the client terminal; if the connection is successful, the health examination server receives a health examination request message transmitted by the client terminal, the health examination server transmits a testing message to a first pushing server according to the health examination request message, and if the client terminal receives a feedback testing message returned by the first pushing server according to the testing message, the client terminal receives a pushed message transmitted by a business server through the first pushing server, otherwise, the client terminal receives the pushed message transmitted by the business server through a second pushing server; if the connection is not successful, the second pushing server receives the pushed message transmitted by the business server. The scheme of the invention can reduce the load pressure of the pushing servers.

The invention discloses construction of a chronic disease risk assessment hyperbolic model and a disease predication system applying the chronic disease risk assessment hyperbolic model. A Shandong multi-center health management longitudinal observation queue is constructed according to longitudinal health management data of more than 20 health management centers in Shandong province to study the actions of heredity, environment, individual life style, health intervention factors and the like on the processes of outbreak, development and lapse of a major chronic disease, the risk assessment hyperbolic model suitable for various chronic diseases for health examination people of Shandong province and the disease predication system are established, and the scientific evidences are provided for the health intervention of the chronic diseases.

The invention discloses a large data cardiovascular disease risk monitoring system. According to the system, personal information (including age, sex, blood pressure, height, weight, obesity index and the like) of health examinations, physical examinations and hospital treatment, and test data of blood routine, blood biochemistry and myocardial enzymes are used for monitoring the cardiovascular disease risk. The invention belongs to the application of large data in the field of health care, and further belongs to the crossing technical field of large data and health care. The invention aims at providing a simple, easy, practical and accurate cardiovascular risk monitoring system. The current monitoring of the cardiovascular disease risk is achieved mostly by enquiring a small sample amount of data collected by a questionnaire method such as disease history, family history and major risk factors for the cardiovascular disease and through the data of blood sugar collected by an instrument, total cholesterol and the like. The monitoring is controlled and managed by medical institutions and doctors so that users can not carry out the monitoring of the cardiovascular disease risk by themselves. Due to the fact that epidemiological features of a cardiovascular disease spectrum and risk factors in Chinese population are significantly different from the epidemiological features in western developed countries. The existing risk assessment tools in Europe and America are not suitable for the Chinese population. With the help of a large data value extraction technology, the large data cardiovascular disease risk monitoring system can monitor the cardiovascular disease risk for users and doctors and provide hope for human to monitor the cardiovascular disease risk by themselves and conquer the cardiovascular disease.

The invention discloses a method for measuring acetone in respiratory gas and an implementation device thereof, wherein a collected respiratory gas sample is injected into the absorption pool of a respiratory gas acetone measuring device; the measuring light is guided into the absorption pool of the respiratory gas acetone measuring device; the measured light absorption spectrum which transmits out of the respiratory gas sample passing through the absorption pool is measured by a light measurer; and the measured absorption spectrum of the respiratory gas sample is compared with the absorptionspectrum containing an acetone gas mixture with the known concentration through a computer system, thereby obtaining the content of the acetone in the respiratory gas sample. In the invention, the content of the acetone in the respiratory gas can be accurately and rapidly measured; the finish and disclosure of the acetone content measurement are the significant progress of a respiratory gas acetone measuring technique; and the progress of the respiratory gas acetone measuring technique is greatly boosted. According to the relation between the content of the acetone in the respiratory gas of ahuman body and diabetes, the method and device provided by the invention can be used for diagnosing the diabetes and can be widely used for the daily health examination of the diabetes and the rapid clinic screening of the diabetes.

The invention discloses a charging box of a wireless earphone, and a health monitoring method and device, relates to the technical field of portable listening equipment, and aims to solve the problemthat an existing charging box is not beneficial to market promotion due to relatively low product utilization rate. The charging box comprises auscultation equipment and a processor, wherein the auscultation equipment is used for collecting sound data in corresponding positions; and the processor connected with the auscultation equipment is used for acquiring the sound data and sending the sound data to corresponding terminals. The auscultation equipment arranged in the charging box is used for collecting the sound data in the corresponding positions, so that sounds in the positions of the chest/belly and the like of a user can be collected; the sound data collected by the auscultation equipment is sent to the corresponding terminals by the aid of the processor, so that a health monitoringfunction similar to an auscultator can be realized, the product utilization rate of the charging box is improved, and the product promotion is facilitated; and health examination or remote medical treatment can be realized by utilizing health monitoring data in the terminals, so that the user experience is improved.

The invention discloses a method for safely accessing a mobile credible terminal, which comprises the following steps that: a user starts the mobile terminal by means of password or fingerprint authentication and the like; the terminal loads an operating system and verifies that the operating system is changed or not so as to ensure safe start; a process monitoring module cured in a read only memory (ROM) is started and loaded to monitor other process and module loading, the safety of a TF memory card is checked, and whether to continuously start or stop starting the terminal is determined; after the terminal is started and before the terminal establishes safe connection with a server, a terminal health examination module is started to check hardware information of the terminal, safely scan the terminal, and submit the extracted information and safe scanning result to the server for further analysis; the terminal checks a digital certificate in the safe TF memory card and determines that the certificate is in a safe state; and safe connection between the terminal and the server is started. The method can ensure that the terminal can credibly communicate with the server.

The invention relates to an intelligent cerebral apoplexy risk monitoring system, aims at monitoring cerebral apoplexy risk by utilizing personal information (comprising age, gender, blood pressure, stature, weight, constitutional index and the like) of health examination, physical examination and hospital admission, and blood routine examination and blood biochemistry data, belongs to the application of artificial intelligence and big data in the field of health care, and belongs to the cross technical field of artificial intelligence, big data and health care. The invention mainly aims at providing a simple, practicable and high-correctness cerebral apoplexy risk monitoring system. The intelligent cerebral apoplexy risk monitoring system is established through carrying out over ten thousands of predictions, simulations and analysis assessments on the data of more than five hundred and ninety thousands of normal persons and more than twenty thousands of cerebral apoplexy patients by means of prediction simulation and big data value extraction technologies of artificial intelligence, and is capable of helping users and doctors to carry out cerebral apoplexy risk monitoring so as to provide hope for the users to monitor the cerebral apoplexy risks and finally keep away from cerebral apoplexy.

Provided is an intelligent small household appliance system. The intelligent small household appliance system comprises an intelligent small household appliance, a cloud server, an intelligent terminal and a health examination sensor. The health examination sensor forms health information of a user and sends the health information to the intelligent terminal and the cloud server. The cloud server obtains the IP address of the intelligent small household appliance and forms identification information containing a geographic position. The cloud server obtains characteristic information of the intelligent small household appliance and forms the usage habit record of the user. The cloud server forms recommendation information according to the health information, the identification information and the usage habit record and sends the recommendation information to the intelligent terminal. The intelligent small household appliance system guides operation of the intelligent small household appliance through an optimal scheme meeting present demands of a user, a scientific, reasonable, appropriate and healthy service scheme meeting user characteristics is provided for a user comprehensively at aspects of geographical characteristics, usage habit, health conditions and the like, a cloud service platform with powerful function is formed, an energy-saving, environmentally-friendly, green and healthy household environment is created, and the life quality of people is raised greatly.

The invention provides a multilink application service health examination method, device and system. The method comprises the following steps: selecting one link of the multiple links to send a connection request to an application server, the connection request comprising an examination task; if the link state is normal, obtaining message information of a responding message sent by the application server, and judging whether the state of the application server is normal according to the obtained message information; and if the link state is abnormal or the state of the application server is abnormal, sending fault information to user equipment. A health examination server is arranged between the application server and the user equipment, and the health examination server sends the fault information to the user equipment when the link state is abnormal or the state of the application server is abnormal, so that users are allowed to know the link state and the state of the application server in time.

The invention discloses a self-service health room. The self-service health room is characterized by comprising a body and a health detection device arranged in the body, a door is arranged in the middle of the body, a lifting screw is arranged on the top of the body, a power line and a network interface are arranged on the bottom of the body, a card swiping electronic lock is arranged on the door, and the network interface is a cable socket or a WIFI module. A self-service health room managing system comprises the self-service health room, a communication module, an IC card and an interaction module. By the adoption of the self-service health room and the managing system thereof, health examination efficiency is improved, and health examination cost is reduced.

The present invention provides a system and method of health examination queuing assistance based on a geographical position. The method comprises the steps: obtaining user identity information and sending the user identity information to a health examination management platform, wherein the health examination management platform adds each health examination item of a user into the queuing queue of health examination item departments; receiving queuing serial numbers of each health examination item of the user, the number of waiting people and position information of the health examination item departments sent by the health examination management platform, and generating waiting time of each health examination item; obtaining current position information of the user and generating distances of the positions of the health examination item departments and the current position of the user; arranging the health examination items of the user according to the distances between the positions of the health examination item departments and the current position of the user from near to far and arranging the health examination items with the same distance according to the time length from short to long on a health examination queuing assistance interface; and receiving health examination item number arrival checking message sent by the health examination management platform. According to the invention, health examination queuing is assisted through the geographical position to provide convenience.