33 results about "Nutrient intake" patented technology

The invention relates to an AI personalized nutrition evaluation and guidance method based on individual continuous diet data. The AI personalized nutrition evaluation and guidance method comprises the following steps: (1) calculating individual single meal food and nutrient intake; individual health indexes are collected, the individual daily energy demand amount is calculated, and the daily food and nutrient demand amount is determined; (2) carrying out instant personalized nutrition evaluation on food and nutrients ingested by an individual in a single meal according to a domestic public recommendation standard; (3) on the basis of individual nutrition and health data continuously recorded in the longitudinal direction of time, establishing a personalized nutrition intake-health model taking an individual as a unit, and carrying out personalized nutrition evaluation and health risk prompting; and (4) simulating the idea of nutrition guidance of professionals to create an AI nutrition guidance algorithm, and generating AI guidance. By adopting the AI personalized nutrition evaluation and guidance method based on the individual continuous diet data, a sustainable AI-assisted diet self-management solution suitable for daily life scenes is effectively provided.

The invention belongs to the technical field of recipe optimization, and relates to a recipe optimization method and device based on nutrient intake and a storage medium. The method comprises the following steps: acquiring various food materials and initial dosages thereof in a recipe to be optimized; based on the content of each nutrient in each food material and the initial dosage of each food material, constructing a content equation of each nutrient in the to-be-optimized recipe; based on the content equation of various nutrients in the to-be-optimized recipe, constructing a nutrient type equation which does not meet the constraint in the to-be-optimized recipe by taking the condition that the content of each nutrient in the to-be-optimized recipe is greater than or equal to the minimum intake and less than or equal to the maximum intake as the constraint; constructing an optimization objective function of the to-be-optimized recipe by taking minimization of nutrient types which do not meet the constraint in the to-be-optimized recipe as an objective; and solving the optimization objective function to obtain the target dosage of each food material in the to-be-optimized recipe, so that the to-be-optimized recipe is optimized to generate a recipe conforming to the nutrition intake standard.

The present invention includes techniques for food image processing and particularly relates to a method and system for personalized nutrition management with food image recognition models using deep learning. The method comprises: a user side obtains an food image to be taken by a user, and the food image is input into a trained food image recognition models using deep learning to obtain different types of food sub-images; computing the amount of nutrients contained in the food sub-images, and accumulating the nutrients in all the food to obtain the total nutrients intake of the user; setting intake thresholds of various nutrients, and comparing the total intake of various nutrients with corresponding nutrient intake thresholds to obtain a comparison result; according to the comparison result, type and quantity of taken food are adjusted, and nutrition management is completed. The invention associates the food intake information uploaded by the user with other data sets (e.g., recommendations from their nutritional physician) through the server to determine whether the obtained energy and nutrient ratio are appropriate, and finally, the analyzed data is feedbacked to the user, thereby prompting the user to improve the diet plan.

The invention discloses a diet data analysis method and device based on a large language model, and belongs to the technical field of diet data analys.The method comprises the steps that user basic information and taste preferences described by natural languages are collected through a user interface; unstructured data of food is captured regularly, and a healthy diet database is constructed after large language model cleaning and tagging processing; basic metabolic rate and daily total energy consumption are calculated in combination with the basic information of the user, and a nutrient intake target is determined; the big language model application layer generates a daily diet plan containing cooking suggestions; and receiving the diet recorded by the user photographing or natural language, analyzing the diet, comparing the analyzed diet with the nutrition target, and generating personalized feedback containing problems, reasons and adjustment suggestions. The device correspondingly comprises five functional modules. According to the invention, automatic maintenance and personalized analysis of diet data are realized, and intelligence and practicability of diet management are improved.

The invention relates to the technical field of medical instruments, in particular to a liquid food feeding device capable of achieving quantitative conveying, which comprises a liquid food discharging mechanism, a liquid food feeding mechanism is arranged at the bottom of the front side of the liquid food discharging mechanism, the liquid food discharging mechanism comprises a liquid food discharging frame, and a quantitative discharging assembly is fixedly connected to the inner bottom of the liquid food discharging frame. The liquid food feeding mechanism comprises two feeding mechanism side plates, a feeding barrel connecting plate is fixedly connected between the front sides of the inner sides of the two feeding mechanism side plates, and a feeding barrel is fixedly connected to the middle of the front side of the feeding barrel connecting plate. By arranging the liquid food discharging mechanism and the liquid food feeding mechanism, accurate, quantitative, safe and comfortable feeding of liquid food for a patient is achieved, by means of an ingeniously-designed mechanical structure and an electronic control system, different kinds of liquid food can be automatically switched, it is ensured that the patient obtains balanced nutrition intake, and meanwhile the effect that the patient can take the liquid food in a balanced mode is achieved. By controlling the feeding speed of the liquid food, the liquid food is prevented from being blocked in the pipeline.

The invention relates to the technical field of aquaculture, and discloses an artemia bait preparation and feeding method for cynoglossus semilaevis larvae in the bait transfer period, and the method comprises the following steps: constructing a basic artemia suspension; putting the artemia into an interface induction pretreatment solution containing soybean lecithin and taurine, and stirring at constant temperature under low-temperature and micro-inflation conditions, so that the artemia forms an induction adsorption layer and reaches pre-balance; then raising the temperature and adding microparticle compound feed in batches to carry out gradient competitive enhancement, so as to prepare enhanced artemia bait; and finally, carrying out collaborative feeding according to a preset strategy after cleaning. According to the method, interface induction and physiodynamic regulation are utilized, wrapping of the micropellet feed on the body surface of artemia and filling of the micropellet feed in the intestinal tract are achieved, the bait loading efficiency is remarkably improved, the problems that larvae and juveniles refer to feed and are insufficient in nutrition intake in the bait transfer period are effectively solved, the survival rate is increased, and water pollution is reduced.

A system is provided.SOLUTION: A system including means for recording an image of a meal with a camera, means for analyzing meal contents by image recognition, means for calculating ingested nutrients on the basis of an analysis result, means for storing the analysis result in a cloud server, means for measuring the number of steps, means for transmitting step count data to the cloud server, means for calculating consumed calories on the cloud server, means for comparing ingested calories and consumed calories and generating advice, and means for notifying a user of the generated advice.SELECTED DRAWING: Figure 1

An inflammation index estimation system (1A) has: a food intake amount calculation unit (11) that calculates a daily intake amount for each of a plurality of foods and menus on the basis of intake frequencies for the foods and menus entered into a food intake frequency questionnaire (2); a nutrient intake amount calculation unit (12) that references food / nutrient conversion data (21) that indicates the amounts of a plurality of nutrients in the foods and menus per unit amount and calculates a daily intake amount for each of the nutrients on the basis of the daily intake amount for each of the foods and menus calculated by the food intake amount calculation unit (11); and an inflammation index calculation unit (13) that, on the basis of nutrient index data (23) and the daily intake amount for each of the nutrients calculated by the nutrient intake amount calculation unit (12), calculates the sum of inflammation indexes calculated in accordance with the intake amount for each of the nutrients as an inflammation index for a daily diet.

The invention relates to the technical field of infant diet management, and discloses an infant nutrition intake analysis and diet intelligent management method. The method comprises the following steps: interactively obtaining physiological characteristic parameters and diet history parameters of an infant individual; determining nutritional requirement type selection, and obtaining a target diet plan; interactively acquiring target structure features of the target diet plan, initializing diet management conditions in combination with nutritional demand selection, and outputting initial management control constraints including a nutrition intake threshold and a maximum allowable deviation rate; taking the initial management control constraint as an optimization condition, optimizing the ingestion preparation speed according to the food ingestion record information and the preset time constraint, and positioning the ingestion control speed; analyzing a nutrition deviation trend of the target diet plan according to the intake control speed, and optimizing diet adjustment control parameters based on an analysis result; and when food intake is managed according to the intake control speed during diet execution, intermittently and automatically adjusting the target diet plan by using the diet adjustment control parameters.

The application provides an intelligent early warning and nutrition adaptation analysis method and system based on canteen food material big data, and belongs to the technical field of canteen intelligent management systems; the method comprises the following steps: obtaining inspection data of food materials to obtain inherent risk indexes of the food materials, obtaining supplier risk indexes of suppliers of the food materials in a current evaluation period t, evaluating seasonal risk indexes of the food materials according to a current environment, and obtaining overall risk values of the food materials through weighted fusion; selecting food materials with overall risk values not exceeding a threshold value, combining different food materials according to a menu to obtain a plurality of dishes, and evaluating dietary nutrition of the dishes; evaluating whether the daily nutrient intake of a meal object meets the demand according to a combination of a plurality of dishes actually eaten by the meal object; and tracking the daily nutrient intake of the meal object and evaluating whether the eating habits of the meal object are healthy.

The invention relates to the technical field of health assessment, in particular to an intelligent assessment method based on the nutrition state of leukemia children in the chemotherapy period. The method comprises the steps of obtaining the daily weight, muscle mass, fat mass and nutrition intake of a child patient in a chemotherapy period, determining an absorption capacity coefficient based on the change of the nutrition intake and the weight, determining a reserve capacity coefficient for converting nutrition intake into effective reserve in the period based on the change of the muscle mass and the change of the fat mass in adjacent days in the period, and determining a nutrition state index by combining the absorption capacity coefficient and the reserve capacity coefficient, determining a nutrition evaluation coefficient according to the nutrition state indexes of all the time periods of the chemotherapy period before the current moment, and performing risk analysis based on the nutrition evaluation coefficient. The method can more comprehensively and reliably evaluate the nutrition state of the child patient in the chemotherapy period, and improves the accuracy of nutrition state evaluation.

The invention relates to a method and system for predicting and evaluating nutrition intake of horses in different seasons, and the method specifically comprises the following steps: collecting related data of horses to be predicted, arranging the data according to a pseudo-time sequence to form samples, and marking target nutrition intake for each sample; adopting multi-scale normalization based on Lyapunov exponential weighting to carry out normalization processing on the data of each dimension contained in the sample; a cross feature derivation module based on high-dimensional phase space reconstruction and singular spectrum analysis is adopted for the normalized result to generate an enhanced feature vector; constructing a horse nutrition intake prediction module to predict nutrition intake; calculating a total loss function of the model, and training the horse nutrition intake prediction model based on the total loss function; and inputting a new sample into the trained model after processing, and outputting a predicted nutrition intake and an evaluation result of a predicted value. The horse nutrition intake prediction accuracy and reliability are improved, and the method adapts to seasonal changes.

The invention discloses an all-dimensional intelligent health-care conditioning system and method, which can enable a user to complete systematic health-care conditioning in fragmented time, help organs such as blood vessels, bones, intestinal tracts, livers, brains, lungs and the like to be self-repaired through massage conditioning, reasonable exercise, targeted diet and multi-dimensional rest and keep the organs in a healthy state for a long time. And thus, the user can keep a healthier physical state. The method comprises the following steps: intelligent detection: obtaining physiological data such as sitting / standing / exercise / eye fatigue degree / sleep quality / diet demand of a user through a wearable device connected with an app; intelligent analysis: analyzing and generating a conditioning scheme required by the user through the obtained data; the conditioning schemes comprise a massage scheme, an exercise scheme, a diet scheme and a rest scheme; the massage scheme comprises foot massage / back massage / abdomen massage / head massage / hand massage / hot compress conditioning; the exercise scheme comprises the steps that resistance exercise / aerobic exercise / stretching exercise is formulated according to the body fat rate / dietary habits / muscle fatigue degree and the like of the user; the diet scheme comprises a heat balance scheme and a nutrient intake scheme; the rest scheme comprises physiological rest / psychological rest / sensory rest / creative rest / cultural rest and the like.

The invention relates to the technical field of diet health, and discloses a nutrient intake prescription design system based on an AI large model, and the system comprises a user side which is used for collecting user health data and daily life data, and transmitting the user health data and daily life data to an intelligent nutrition scheme design platform; the intelligent nutrition scheme design platform is used for evaluating the nutrition status of the user based on an AI intelligent medical big model and outputting a personalized nutrition prescription; the nutritionist working platform is used for checking and confirming the output personalized nutrition prescription; and the e-commerce platform is used for providing nutrition commodity matching and purchasing services based on the audited and confirmed personalized nutrition prescription. The multi-source health data is automatically analyzed through the AI intelligent medical large model, the nutrition prescription is generated, the prescription generation time is greatly shortened, and the time is shortened from several hours of traditional manual service to the minute level; and meanwhile, the nutritionist resource dynamic scheduling module reduces the prescription auditing waiting time and improves the overall service efficiency.

The invention provides a food nutritional ingredient analysis method and system based on a palm proportion scale, and relates to the technical field of nutrition analys.The method comprises the steps that a palm image of a user is collected to extract a plurality of hand size parameters, and a size reference set is constructed; then collecting an image containing food and a palm of a user, and identifying a current gesture state, a food contour and a dining scene in the image through a computer vision technology; according to the recognized gesture state, corresponding hand size parameters are dynamically matched from the size reference set to serve as a proportional scale; calculating the actual physical size of the food and further determining the actual weight of the food based on the proportional scale and the food contour; and finally, generating a personalized food nutritional ingredient analysis result in combination with the dining scene, the actual weight and the cooking additive parameters. According to the invention, the technical problem of low accuracy of food identification and nutrition analysis in the prior art is solved, and the accuracy of food actual weight and nutrition intake estimation is remarkably improved.

The utility model discloses a modularized rapid checking device for dietary nutrient intake, and relates to the technical field of health management tools. The data disk comprises a data disk which is coaxially provided with a plurality of concentrically arranged data areas, and each data area is provided with a plurality of data around the axis of the data area; the large class screening disc is coaxially and rotatably arranged on the data disc, the large class screening disc is provided with a first hollowed-out groove, and the first hollowed-out groove extends in the radial direction of the large class screening disc and penetrates through all the data areas in the radial direction; the small class screening disc comprises a first disc coaxially arranged on the large class screening disc and rotating ring plates sequentially arranged on the outer edge of the first disc in a sleeving mode, the total number of the first disc and the rotating ring plates is the same as the number of the data areas, and second hollowed-out grooves are formed in the first disc and the rotating ring plates; the problem that in the prior art, residents are difficult to simply, conveniently and quickly obtain accurate and readable grease content information is solved.

This invention discloses an intelligent school canteen nutrition meal planning system, belonging to the field of smart catering technology. It includes a food data acquisition module, a spectral nutrition mapping modeling module, a nutrition assessment module, and a nutrition meal planning module. This invention employs a food spectral nutrition modeling method based on continuous recipe sampling and probability distribution mapping to achieve comprehensive modeling of multiple possible food preparation states and establish a distributed correlation between spectral information and nutritional components. It uses a nutrition assessment method based on visual spectral collaborative modeling and cross-modal consistency constraints to obtain stable and realistic nutrition assessment results in complex meal-taking scenarios. By collecting multi-dimensional information during the food-taking process and establishing nutritional correlations based on possible changes during food preparation, it achieves a stable estimate of actual nutrient intake, thereby realizing a shift from "rough meal planning" to "precise nutrition management" and improving the nutritional service level of school canteens.

The invention provides a dietary structure construction method and system for neurodegenerative diseases, and the method comprises the steps: obtaining the current neuropathology situation of a target object and the current diet situation of the target object, and judging the nutrient intake gap of the target object based on the current neuropathology situation and the current diet situation of the target object; based on the nutrient intake gap of the target object, formulating a short-term target and a long-term target of neuroprotection of the target object; obtaining the personal basic ability of the target object, carrying out the adaptive adjustment of the dietary structure of the target object based on the personal basic ability of the target object, the short-term target and the long-term target, and constructing a dietary structure scheme meeting the personal basic ability of the target object and the current neuropathology situation. According to the application, by multi-dimensionally improving the pathological state and nutritional state of the patient with the neurodegenerative disease, the neuroprotection efficiency is improved, the disease progress is delayed, and the living quality and intervention compliance of the patient are effectively improved.

The invention relates to the technical field of nutrition state evaluation, in particular to an evaluation system and method for a nutrition state, and the method comprises the steps: obtaining the basic information and health data of a patient, and matching a suitable nutrition screening scale; a nutrition screening result is generated through weighted score calculation; performing diet review survey for preset continuous time on the patient with the nutrition risk, calculating nutrient intake level, and generating diet survey data; collecting a biochemical detection result and body measurement data of the patient, combining dietary survey data and basic information, performing comprehensive evaluation through a multi-dimensional evaluation scale, and generating a nutrition evaluation result; the basal metabolic rate is calculated, the nutrition proportion is optimized through a linear programming algorithm, and a nutrition prescription is formulated; integrating the nutrition screening result, the dietary survey data, the body measurement data, the biochemical detection result, the nutrition evaluation result and the nutrition prescription to generate a nutrition evaluation report. According to the invention, individualized and refined nutrition intervention is realized.

The application discloses a kind of based on diet inflammation index gestational diabetes mellitus blood sugar management method, comprising the following steps: S1: input pregnant woman information;Obtain the personalized information of pregnant woman, including: gestational age, pre-pregnancy / current weight, blood sugar risk level, dietary intake frequency, food intake, diet inflammation index initial score;S2: calculate diet inflammation index;Calculate nutrient intake, standardization processing, inflammation weight calculation, calculation;S3: predict blood sugar risk through blood sugar risk prediction module, output risk level;S4: generate diet program, three meals structure, food combination and heat distribution through individualized diet intervention module;S5: monitor blood sugar, adjust menu according to blood sugar change.Can combine carbohydrate and inflammation, establish diet inflammation blood sugar management new mode, realize accurate management.

The invention relates to a steaming oven control method and device, a steaming oven, a computer readable storage medium and a computer program product, and the method comprises the steps: obtaining an expected cooking menu of a to-be-cooked food material selected for a target user, determining nutrient information after the to-be-cooked food material is cooked according to the expected cooking menu, and determining nutrient demand information of the target user; and under the condition that the nutrient information is not matched with the nutrient demand information, optimizing the expected cooking menu based on the nutrient demand information to obtain a target cooking menu, under the condition that the nutrient information is matched with the nutrient demand information, taking the expected cooking menu as the target cooking menu, and after a cooking starting instruction is received, starting the cooking menu according to the cooking starting instruction. And controlling each working component of the steaming oven to operate according to the target cooking menu. By obtaining the nutrient demand information, nutrition personalized optimization is performed to provide an accurate nutrient personalized cooking scheme, so that dishes cooked by the steaming oven meet the nutrient intake demand of the target user, and the healthy diet level is improved.

We provide the system. [Solution] A means for collecting the user's basic information and meal records, Based on the collected data, a means of analyzing nutrient intake and calculating the necessary nutrients and calories, A means of generating a well-balanced menu based on the analysis results and proposing it to the user, A means of sharing the generated menu and recipe information with nearby cooking facilities, A means of cooking meals based on shared recipes and delivering them to the user's home, A means of collecting user feedback and incorporating it into service improvements, A system that includes this.

The invention provides weight and health management equipment, which belongs to the technical field of weight management and comprises an interaction module, a monitoring module, an information processing module, a storage and transmission module and a control module. The interaction module is used for performing information interaction with a user, receiving user data and outputting a management suggestion; the monitoring module collects diet, exercise and physiological data of a user in real time through a visual sense, auditory sense, exercise inertia, physiological index and position monitoring unit; the information processing module performs multi-modal fusion processing on the monitoring data, calculates nutrition intake and energy consumption, predicts a weight change trend, and generates a weight management plan and related suggestions; the storage and transmission module is used for data storage and transmission; the control module coordinates operation of all the modules. Through intelligent analysis and personalized suggestion, the user is helped to scientifically manage the body weight, and the health level is improved. The device can be integrated in a portable or wearable device, and has the characteristics of real-time monitoring, dynamic adjustment and closed-loop optimization.

Provide a system. 【Solution means】means for a user to input voice, means for converting the input voice into text data, means for analyzing the text data to identify the diet content, means for calculating calories and nutrients based on the diet content, means for recording and analyzing the daily nutrient intake situation, means for generating proposals for lacking nutrients and calories, means for displaying the proposal content, means for generating and providing an online purchase link for the proposed product, A system including the above.

The invention belongs to the technical field of foods, and particularly relates to a full-nutrition food with special medical application for children. The full-nutrition food is prepared from the following components in parts by weight: 250 to 450 parts of fat powder (1), 40 to 100 parts of fat powder (2), 250 to 350 parts of maltodextrin, 150 to 250 parts of hydrolyzed whey protein, 2 to 6 parts of docosahexaenoic acid powder, 2 to 6 parts of arachidonic acid powder and the like. The full-nutrition food provided by the invention is mainly used for weak, long-term malnutrition, long-term bedridden patients, dietary bias and other children with insufficient long-term nutrient intake, and not only is easy to digest and better in intestinal adaptability, but also is comprehensive in nutrition and promotes growth and development.

The application discloses a kind of nutrition with quantity recipe and nutrition analysis method and system of campus student meal. The method comprises: establishing "recipe-set meal-dish-raw material" four-level recipe data model and "raw material-commodity" mapping model, and built-in 《WS / T554-2017 student meal nutrition standard》And food nutrition database;User is based on week view Configuration daily meal set meal and dish, and set estimated number of diners;System is based on dish raw material consumption, real-time cascade calculation dish, set meal and corresponding meal nutrient content, and automatically check whether it conforms to the nutrition standard of the age and gender of the meal student. At the same time, according to the number of diners, the total consumption of each raw material required is automatically summarized and calculated, and is converted into estimated purchase quantity in units of grams, jin, kilograms;Finally, daily / weekly nutrition analysis report covering five dimensions of food category intake, nutrient intake, three meals energy proportion, energy source distribution and protein source distribution is automatically generated. The application realizes the precision, dynamic and automation of student meal nutrition catering, significantly improves the scientificity of recipe compilation and the accuracy of procurement plan.

This invention provides intraluminal devices and methods that can be used for the treatment of health conditions, including obesity and diabetes. [Solution] The method and system reduce weight or control diabetes by decreasing an individual's calorie absorption. For example, obesity and diabetes are treated by regulating the duodenal mucosa using electroporation. Furthermore, a portion of the digestive tract is bypassed to reduce nutrient intake.

The invention provides a comprehensive nutrition intervention method and system for children with attention deficit hyperactivity disorder, and relates to the technical field of clinical nutrition intervention. According to the method, multi-source information of an ADHD child patient is collected and processed in a standardized mode, object entity data are established, and entity feature description vectors are generated; constructing an evidence-based nutrition knowledge unit library based on a natural language processing technology; analyzing the related knowledge units according to semantic matching, decision tree logic and a regression model, and generating evidence-based hierarchical answers; and personalized nutrition intervention schemes including diet suggestions, nutrient intake demands and behavior and lifestyle management suggestions are output through a natural language generation technology, so that intelligence, personalization and traceability of nutrition intervention are realized.

The invention provides a method and equipment for predicting feed nutrient intake of livestock and poultry based on blood amino acid. The method comprises the following steps: constructing an initial livestock and poultry physiological feed association diagram comprising livestock and poultry individual nodes, feed nutrient nodes and edges connecting the livestock and poultry individual nodes and the feed nutrient nodes; obtaining the content of various amino acids in blood corresponding to the livestock and poultry blood sample, taking the content of various amino acids as supplement attributes, and fusing the content of various amino acids into corresponding livestock and poultry individual nodes in the livestock and poultry physiological feed association diagram to obtain a target livestock and poultry physiological feed association diagram; calling a to-be-trained graph neural network model to carry out deep learning processing on the target livestock and poultry physiological feed association graph; training the graph neural network model by using the experimental data set to obtain a target graph neural network model; and inputting physiological information, feed nutrient composition and blood amino acid content of livestock and poultry to be predicted into the target map neural network model to obtain an intake prediction result. In this way, various factors are comprehensively considered, and the prediction accuracy is improved.

The invention provides a food intake determination method and device for acquiring athletic ability, a terminal and a medium. The method comprises the following steps: acquiring an athletic ability evaluation data set; a group of exercise ability assessment data in the exercise ability assessment data set comprises a group of user food intake data and a group of user individual feature data corresponding to the user food intake data; according to the user food intake data and the user individual feature data, constructing a human motion ability evaluation model; obtaining food variable constraint conditions and user set capability weight data; according to the food variable constraint condition, penalty term data is obtained; and generating an optimal food combination according to the food variable constraint condition, the user set capability weight data and the penalty term data. And determining the influence of different diet combination modes and nutrient intake on the exercise ability of the human body.