19 results about "Health effect" patented technology

Devices, systems, and methods are provided for effecting person decompression and / or other health beneficial effects by controlling one or more attributes of illumination observed by a person, such as color (or wavelength) and / or intensity. Apparatuses or systems provided herein may include area lighting (e.g., for a room, a portion of a room, a vehicle) and / or specific devices (e.g., medical instruments and devices). During operation, the lighting fixture or other light source outputs light in a selected range of the visible spectrum, such as the amber range (e.g., 570-680 nm), the red range (e.g., above 680 nm), and the green range (e.g., 510-540 nm), while avoiding other ranges (e.g., below 510 nm). The light emitted by the system or device may occupy part, most or all of the radiation flux touched by the person, and the decompression effect can be verified by biological or biological recognition detection.

The invention relates to an AI-based old-age-friendly indoor environment personalized map construction method. The method comprises the following steps: acquiring indoor temperature and humidity, air quality and illumination intensity parameters through an environment sensor deployed in an indoor key area; a camera with a privacy protection function and an infrared sensor combined device are used for monitoring indoor movement tracks and data of sleeping, getting up and walking behaviors of old people. Through deep analysis of the individual data of the old people, the system can accurately meet the unique demands of each old people for the indoor environment, improves the living comfort and life quality of the old people, achieves the automatic and intelligent regulation and control of the indoor environment, reduces the inconvenience of manual operation of equipment by the old people, improves the accuracy and timeliness of environment regulation and control, and improves the user experience. The indoor environment is associated with the health condition of the old people, the influence of environmental factors on health can be found in time, early warning and intervention are carried out, diseases can be prevented, and the health and safety of the old people can be guaranteed.

The invention relates to a body fat scale electrotherapy optimization control method and system based on an artificial intelligence technology, and belongs to the field of electric digital data processing. According to the method, a high-precision body fat scale and an electro-therapeutic apparatus are integrated, deep learning and analysis are performed on body fat data, electro-therapeutic requirements and historical feedback of a user by using an artificial intelligence algorithm, and personalized customization and dynamic adjustment of different electro-therapeutic parameter combinations of different users are realized. The system comprises a data acquisition module, an artificial intelligence processing module and a control execution module, and can automatically optimize an electrotherapy parameter combination including electrotherapy intensity, frequency and duration according to real-time body fat conditions and electrotherapy reactions of different users to achieve high-amplitude fat reduction and health effects. According to the body fat scale, the intelligent level of the electrotherapy function of the body fat scale is effectively improved, and safer, more effective and more personalized health services are provided for users.

The invention relates to the technical field of intelligent health, in particular to an intelligent shadowboxing training and health preserving effect monitoring system and method, and the system comprises an impedance collection module, a coordinate synchronization module, a rate positioning module, a time comparison module and a quantitative evaluation module. According to the method, weighted mapping analysis is carried out on trunk compression distribution parameters and thoracico-abdominal fluctuation signals in a time domain dimension, and a hidden time sequence corresponding relation between plantar force generation support change tracks and body surface impedance relaxation peak-valley nodes is excavated based on a dynamic normalized accumulation matrix; a closed-loop monitoring link penetrating through body movement and breath vomiting and reception difference is constructed, the real force generation coupling compactness is judged by means of transverse cross-domain comparison of gravity center conversion time phases, the overall coherence and coordination concepts undertaken in Tai Chi guiding movement are effectively restored, accurate adjustment intervention guidance with quantitative support is synchronously issued to a terminal, and the accuracy of the Tai Chi guiding movement is improved. And the discrimination validity of the multi-source fusion physiological data in the deep rehabilitation dimension is directly improved.

We hypothesized that mixing activated carbon fine powder and ceramic fine powder within the hollow spherical structure would enhance the kinetic energy resonance effect, but it is difficult to confirm the health effects of hollow components intended for health promotion. [Solution] A shell is a metal processed product with a hollow structure, and is housed inside the shell. The health benefits of a hollow component for promoting health, characterized by having a mixture of fine powder of activated carbon from the endocarp of coconut shells and fine powder of ceramics produced by firing natural minerals, were verified using a human saliva ORP measuring device, a health indicator.

The embodiment of the application provides a method and system for determining an optimal control concentration threshold of atmospheric pollution based on resident health effects, and belongs to the technical field of environmental health early warning. The application first acquires baseline information of a research object; collects health and disease data and atmospheric pollution exposure data according to the baseline information; matches and integrates the baseline information, the health and disease data and the atmospheric pollution exposure data to acquire a research and analysis database; analyzes the research and analysis database to acquire feedback data under different assumed air quality standards; and obtains the optimal control concentration threshold of atmospheric pollution according to the feedback data. The application can provide technical support for the formulation of air quality standards and public health policies.

The invention discloses a radioactive third party responsibility risk economic quantification method, device, equipment and medium, and the method comprises the steps: recognizing and analyzing accident sequences causing radioactive release based on a secondary probability safety evaluation model of a nuclear power station, and generating the annual occurrence frequency of each accident sequence, the release activity of each radionuclide in preset release classification in the accident sequence is calculated, and a release category list and a nuclide release spectrum of each target release category are obtained; sampling a target weather sequence, calculating time integral air concentration and ground deposition concentration, and calculating personal radiation dose and collective radiation dose; calculating early-stage health effect people number and late-stage health effect people number; calculating the total economic loss caused by the radioactive release accident; fitting based on the annual occurrence frequency and the total economic loss to obtain an aggregation risk curve; and carrying out statistics on preset indexes based on the aggregation risk curve to generate a target risk statistical result. According to the invention, accurate quantitative evaluation of radioactive release consequences is realized.

A system for evaluating health risk is provided. The system may be configured for requesting first data from a merchant associated with a user and second data from an activity tracking service associated with the user. The system may also comprise analyzing the item to determine a first health impact for the item based on the item and demographic information associated with the user. The system may further comprise analyzing the level of activity to determine a second health impact from the level of activity based on the level of activity and the demographic information associated with the user. The system may further comprise selecting an advertisement based on medical data, and at least one of the first health impact, the second health impact and the demographic information associated with the user.

The invention provides a spherical particle as well as a preparation method and application thereof. The spherical particle comprises an inner core and a coating layer coating the inner core, the inner core comprises the following components: tar-reducing particles, plant powder, a diluent and a lubricant; the coating layer comprises the following components: modified chitosan, essence, a film-forming agent and a plasticizer. The inner core and the coating layer components in the spherical particles synergistically purify smoke, the tar reducing particles selectively adsorb phenol, ammonia and other harmful substances in the smoke, aroma components in the tar are reserved as far as possible, the modified chitosan has excellent oxidation resistance, free radicals in the smoke are effectively removed, the influence of smoking on health is relieved, meanwhile, the smoke is softened, offensive odor is reduced, and the smoke purifying effect is improved. The irritation is reduced, and the smoking taste is improved.

The utility model relates to the technical field of traditional Chinese medicine processing, in particular to a traditional Chinese medicine raw material grinding machine which comprises a base, a vertical plate, a top plate and a grinding cylinder, the vertical plate is arranged at the position, close to the center, of the top of the base, the top plate and an extension plate are connected to one side of the top end and one side of the bottom end of the vertical plate respectively, and a push rod motor is installed at the bottom of the top plate through a fixing base. The power output end of the push rod motor is connected with a first lifting plate; a second lifting plate is arranged at the lower end of the first lifting plate, a servo motor is arranged at the bottom of the second lifting plate through a mounting seat, a driving shaft of the servo motor is connected with an upper grinding mechanism, and a lower grinding mechanism is arranged at the top of the extension plate. And in the using process, the grinding structure can be conveniently replaced and cleaned according to needs, and therefore the cleaning and sanitation effect during grinding work can be improved.

The utility model discloses a kind of heating pools for food production and processing, it is related to food production and processing technical field, including heating pool body, the upper end of heating pool body is fixedly connected with support plate, the upper end of support plate is fixedly connected with motor, the output of motor is fixedly connected with threaded rod, the rod wall of threaded rod is threadedly connected with moving rod, the lower end of moving rod is fixedly connected with spring, the outside of moving rod is slidably connected with support block, the lower end of support block is fixedly connected with aperture plate, the upper end of aperture plate is fixedly connected with the lower end of spring.The utility model passes on, and food is driven to move up, and it is convenient for staff to take material, and when moving up, aperture plate can be made to shake up and down, soup on the surface of food can be shaken off, so when taking material, the possibility of soup dripping in other positions is reduced, and the convenience of taking material is improved, and the health effect is improved.

When electricity flows through the fingertips of a touchscreen, electromagnetic waves emitted by electronic devices enter the body, raising concerns about the health effects of using a touchscreen for long periods of time. [Solution] The spiral braided ring of this invention is easy to carry and can be easily attached and removed anytime, anywhere. The spiral braided ring is made of organic hemp yarn, a plant fiber, and is a recycled, environmentally safe natural material that allows the user to adjust the ring size to fit the thickness of their finger.

The invention discloses an environmental exposure health effect assessment method and system based on BKMR-intermediary analysis integration. Bayesian machine learning and intermediary analysis technologies are integrated through a four-stage progressive framework. In the first stage, multiple regression is combined with a nonlinear model to identify health correlation characteristics of a single pollutant; in the second stage, a mixed exposure evaluation method is fused, and the multi-pollutant joint effect and key components are analyzed; in the third stage, a Bayesian variable selection technology is innovatively utilized to intelligently screen intermediary factors, and an exposure-intermediary-health endpoint biological mechanism network is constructed; and in the fourth stage, the attribution health burden and economic loss are quantified. According to the method, three bottlenecks of single exposure limitation, insufficient hybrid interaction modeling and mechanism analysis deficiency in traditional assessment are broken through, full-chain scientific assessment from effect identification to a causal mechanism is realized, and methodological support is provided for accurate management and control of environmental health risks.

The invention discloses a dynamic report generation method and system based on environmental health data fusion, and the method comprises the steps: carrying out the time-space alignment of pollutant concentration data and disease occurrence data, generating a health association data set, constructing a crowd exposure transmission network, recognizing a susceptible crowd accumulation region, and constructing a layered exposure map; carrying out multi-factor collaborative interaction inspection to obtain a preliminary risk quantitative index; time sequence mode mining is carried out to establish a pollutant cumulative effect relationship, a composite exposure scene is identified, and spatial correction is carried out on the preliminary risk quantitative index to form a risk assessment matrix; parallel clustering processing is carried out on the risk assessment matrix to generate a risk grading identifier, factor source analysis is carried out to determine a dominant pollution source contribution table, an exposure response chain is reconstructed, and a health effect factor set is established; and based on the risk assessment matrix and the health effect factor set, content priorities are determined according to crowd hierarchy, and a hierarchical health assessment report is output, so that a comprehensive, accurate and operable scientific basis is provided for pollution prevention and control decisions and public health protection.

For predicting a non-communicable disease score for a given landscape design map, a method extracts design characteristics from at least one landscape design map. The method further extracts non-communicable disease data for adjacent populations to the at least one landscape design map. The method trains a predictive model based on the design characteristics and the non-communicable disease data. The method predicts a non-communicable disease for a given landscape design map from the predictive model.

The application discloses an environmental health effect evaluation method, system, terminal and storage medium, and the method comprises the following steps: acquiring an atmospheric particulate emission inventory, and classifying and processing the atmospheric particulate emission inventory according to production department types to obtain a production-side emission inventory; coupling a reverse concomitant mode in an air quality model with a health evaluation model to obtain a coupling model; inputting the production-side emission inventory into the coupling model to obtain a production-side environmental effect evaluation result; acquiring an environmental extension input-output model, and inputting the production-side environmental effect evaluation result into the environmental extension input-output model to obtain a consumption-side environmental effect evaluation result. The application can accurately evaluate the influence of products on environmental health effects in the whole life process of production and consumption by constructing a consumption-side emission inventory, coupling a reverse concomitant mode in an air quality model with a health evaluation model to obtain a coupling model.

The application provides a nuclear accident health effect evaluation method and system based on double-threshold dynamic correction, and the nuclear accident health effect evaluation method comprises the following steps: S1, collecting the radiation dose of each organ, and establishing a basic information database; S2, based on the information of step S1, evaluating the early health effect, including early death risk evaluation and early damage risk evaluation; S3, based on the survival, evaluating the cancer health effect, including cancer death risk evaluation and cancer damage risk evaluation. The application can accurately evaluate the early health effect and the cancer health effect after a nuclear accident, and provide a theoretical basis and technical support for nuclear accident radiation influence evaluation and emergency decision making. Relying on double-threshold dose, the dose efficacy correction factor and the survivor correction factor are comprehensively considered, and the problems that the cancer risk obtained by extension in the low-dose area is overestimated and the risk is overestimated due to cell death in the high-dose area are comprehensively solved.

The application discloses a method for evaluating cross-generation effect of dietary intervention through vertical transmission of flora, and belongs to the technical field of the cross of nutrition and microbiomics. The method comprises the following steps: subjecting female experimental animals to at least three different dietary interventions; collecting feces as a maternal sample before intervention and before mating; after pregnancy, continuing to give the corresponding dietary intervention until natural delivery, and collecting the offspring feces as an offspring sample on the day when the offspring is weaned; performing high-throughput sequencing on the collected samples, analyzing the flora structure by bioinformatics, identifying the genera that are common to the maternal and offspring, have significant differences in abundance between different dietary groups, and have biological correlation between the genera function and the evaluated health phenotype as the diet-dependent vertical transmission core genera; and then performing correlation analysis with the offspring health phenotype data, if there is a correlation, it is judged that the material to be evaluated affects the offspring health through the vertical transmission of flora. The application provides a general methodological tool for studying the diet-flora-cross-generation health effect.

The invention discloses a method and a product for environmental exposure data processing and health effect assessment and application, and belongs to the technical field of air quality health risk assessment. The technical problem to be solved is to carry out parametric fitting on non-linear health effect characteristics of common environmental pollution exposure so as to realize accurate, flexible and operable non-linear change analysis and application. The method comprises the following steps: S1, data processing; and S2, health effect evaluation. According to the method, a shape control function containing a position parameter, a size parameter and a shape parameter is introduced into a shape constraint health effect function, fitting curves which have different characteristics and represent different shapes are successfully constructed, analysis of different nonlinear effect changes is achieved, health effect evaluation is more visual, and the method is more suitable for popularization and application. And the accuracy, flexibility and operability of environmental exposure health effect evaluation are improved.