31 results about "Intake energy" patented technology

The invention relates to the technical field of nutrition monitoring, in particular to a comprehensive nutrition monitoring system based on intelligent data computation.The system comprises a data acquisition port, a data checking port and a nutrition abnormity tracing port, and the data acquisition port is used for monitoring physiological indexes, behaviors and disease conditions of a patient in real time through multiple devices; the physiological indexes comprise age, height, weight, body fat, muscle conditions, energy intake, protein and body functions; the data checking port is used for taking three days as a monitoring period, constructing a comparison group for the physiological indexes of the patient in the same time period of three continuous monitoring periods, calculating a data abnormal value and judging whether to enter a nutrition abnormality analysis process or not; and the nutrition abnormity tracing port is used for positioning the time period of nutrition abnormity and searching the main cause of nutrition abnormity.

The invention discloses preposed evaluation software for a parenteral nutrition prescription, relates to the field of parenteral nutrition support treatment, and relates to a whole process of parenteral nutrition. The software comprises a medicine database part, a patient information area, a parenteral nutrition prescription area, a substance and energy recommendation and judgment area, a stability judgment area and an infusion mode and time suggestion area. A doctor can be helped to make the most suitable parenteral nutrition prescription according to the information and the illness state of a patient, and the stability after mixing according to the prescription can be guaranteed. And the most suitable infusion mode and the minimum infusion time suggestion are given. Due to the fact that parenteral nutrition ingredients are complex, the requirements for stability and patient adaptability are high, the calculation workload is large, if calculation is conducted through a formula according to the requirement of a guide, time is long, and errors are prone to occurring, the software writes in the calculation formula recommended by the guide, the whole process of parenteral nutrition calculation is achieved, and energy intake standards, electrolyte intake standards and intake standards of all nutrient substances are included. And the stability is judged, a plurality of different calculation modes are provided, and more choices are provided.

The invention provides an infant feeding demand assessment method and device. The method comprises the following steps: acquiring basic physiological information, activity data and nutrition intake information of a to-be-assessed infant; the obtained basic physiological information, activity data and nutrition intake information are input into an energy consumption model, and the energy consumption model determines the basal metabolic rate of the infant based on the weight and gender information and determines the exercise consumption of the infant based on the heart rate, the activity level, the body temperature, the weight and the non-eating duration; total consumed energy of the infant is determined based on the basal metabolic rate and the exercise consumption; the current total intake energy of the infant is obtained through the energy intake model; and inputting the acquired basic physiological information, nutrition intake information, total consumed energy and current intake total energy into a feeding demand evaluation model to obtain a feeding demand evaluation result of the to-be-evaluated infant. According to the invention, real-time feeding demand evaluation and personalized evaluation of infants can be realized, and the accuracy of feeding suggestions is improved.

Provided are an intelligent feeding method and system for fish in a recirculating aquaculture system based on repeated games. The method includes: constructing repeated games, determining Nash equilibrium strategies based on the repeated games, determining a payoff relationship between different strategies in a research phase, and quantifying a hunger level and determining a feeding amount based on the payoff relationship as well as an intrinsic connection between hunger levels and energy intake and expenditure in fish group feeding behavior. This application uses a simple and effective repeated game method to determine the feeding amount that promotes cooperative swimming feeding behavior in the fish group, effectively reducing feed waste caused by the existing method of determining the feeding amount based on total fish biomass and farming experience. This application ensures sufficient energy supply for fish growth while promoting cooperative swimming feeding behavior among individual fish in the group.

Disclosed concepts aim to provide schemes, solutions, concepts, designs, methods, and systems pertaining to improved prediction of gestational weight gain (GWG). Specifically, a data series describing weight of the pregnant subject at least twice per day (e.g., after waking up, and before going to sleep) during an early stage of pregnancy (e.g., during the first 30 days of pregnancy, or during the first trimester) is used to determine a historic GWG curve of the subject. As energy balance in pregnancy is defined as energy intake equal to energy expenditure plus dynamic energy storage, a specific GWG prediction model is used to generate the historic GWG curve, rather than a generic weight gain model. From the historic GWG curve, a future GWG value of the subject may be predicted. This future GWG value may be used to assess a pregnancy risk score, and / or to generate lifestyle recommendations for the subject.

The present invention includes extruded livestock feed particles comprising a high level of fat and methods of making these animal feed particles. The particles are palatable and digestible by the livestock animals and lead to an enhanced energy intake by the animals. The particles are also flowable. The method includes the use of a vacuum coater to incorporate the fat into extruded animal feed particles. The present invention also includes methods of feeding dairy cows.

The invention discloses a meal replacement ratio calculation method and device, equipment and a storage medium, and belongs to the technical field of food formulas. The method comprises the following steps: acquiring physiological indexes set by a user, and acquiring daily energy consumption data and energy intake data of the user; generating a diet adjustment scheme of the user according to the physiological indexes, the energy consumption data and the energy intake data; and according to the diet adjustment scheme, calculating the powder ratio of the powder corresponding to each nutrient required by the user, and generating a meal replacement formula according to the powder ratio, so that the user can prepare the meal replacement according to the meal replacement formula, and the meal replacement can be adjusted according to the physiological indexes set by the user and the daily energy consumption data and energy intake data of the user. And generating a diet adjustment scheme for performing diet planning on the user, calculating a powder proportion of powder corresponding to each nutrient required by the user according to the diet adjustment scheme, and generating a meal replacement formula suitable for the user to achieve the physiological index at present.

The invention provides a diet guidance system and method for medical interaction of a hyperlipemia patient, and is applied to the technical field of medical data processing. The method comprises the following steps: firstly, collecting demographic, clinical index, medical history and risk factor data for a hyperlipemia patient, and constructing a training sample set; dividing risk levels by using a Python model based on a guide, and screening intervention crowds; according to consensus and guide, energy intake is customized according to BMI and physical labor intensity, a dietary structure is constructed and verified, and a personalized dietary scheme is generated; furthermore, VR education content is developed, and fat visualization is realized through 3D modeling, physical attribute configuration and a rendering scheme; meanwhile, standardizing 9 types of food materials by taking 5g of fat as a unit, converting intake exchange parts and calculating the total fat amount; and finally, the compliance of the patient is improved by means of a VR gamification module.

The invention relates to the technical field of nutritional supplements, and particularly discloses nutritional peptide powder based on exercise recovery, endurance improvement and energy control and a production process thereof.The nutritional peptide powder mainly comprises bovine bone collagen peptide powder, amino acid, crystalline fructose, crystalline trehalose, pure coconut powder, whole milk powder, oat powder and flaxseed powder. The formula is adjusted according to different requirements of exercise recovery, endurance improvement and energy control, crystalline fructose and crystalline trehalose are used as low glycemic index sugar sources, energy can be stably released, exercise performance can be improved, rapid exhaustion after short-time consumption of energy is avoided, medium-chain fatty acid is provided by adding pure coconut powder, and the effect of improving exercise performance is achieved. Stable energy support is provided for long-time exercise, and energy intake is effectively controlled through the combination of the whole milk powder, the oat powder and the flaxseed powder. The whole formula ensures exercise recovery and endurance improvement, realizes energy control, is suitable for different exercise crowds, and provides multifunctional, efficient and healthy nutrition support.

The application discloses a kind of based on repeated game's circulating water aquaculture fish intelligent feeding method and system, the method includes constructing repeated game, based on the Nash equilibrium strategy of repeated game, determine the income relationship between different strategies in research phase, finally according to the internal connection of the energy intake and consumption in starvation degree and fish feeding behavior, quantification starvation degree and determine feeding amount.The repeated game method of the application is simple and effective to determine the feeding amount to promote fish cooperative swimming feeding behavior, can effectively reduce the feed waste caused by determining the feeding amount by the total amount of fish combined with the experience of aquaculture, can effectively promote the cooperative swimming feeding behavior of fish individuals while fully meeting the energy required for fish growth, avoid deterioration of aquaculture water quality, improve the efficiency of aquaculture, meet the development needs of modern aquaculture.

To provide a technique for determining a diet action actually performed by a subject.SOLUTION: The determination method of the present invention includes a determination step of determining a diet behavior selected from an restriction for energy intake behavior and an energy consumption promotion behavior performed by a subject within a determination target period, on the basis of an expression level of at least one of genes selected from the group consisting of intake restriction variation genes and consumption promotion variation genes or an expression product thereof, the genes or the expression product being derived from a biological sample of the subject. The intake restriction variation genes are at least one or more genes whose expression level varies depending on restriction for energy intake behavior and whose expression level does not vary depending on energy consumption promoting behavior. The consumption promotion variation genes are at least one or more genes whose expression level does not vary depending on restriction for energy intake behavior but varies depending on energy consumption promotion behavior.SELECTED DRAWING: None

1. Name of the design product: energy intake evaluation ruler for tumor patients. 2. Use of the design product: for quantifying dietary intake and evaluating whether energy intake is adequate. 3. Design points of the design product: in the combination of shape and pattern. 4. Picture or photo best indicating the design points: combined front view. 5. The design product is a thin product, and other views are omitted.

The invention provides a method for estimating a net energy value required by growth of largemouth bass, and the method comprises the steps: carrying out the calculation processing based on the experimental data of multiple parallel fasting experiments, and obtaining the maintenance net energy data of target fingerlings of different specifications; performing calculation processing based on experimental data of different feeding level experiments to obtain unit weight intake energy, unit weight deposition energy and growth net energy data; performing regression analysis on the unit weight intake energy and the unit weight deposition energy to obtain a regression equation; performing analysis and comparison processing in combination with the net energy maintaining data and the regression equation, and determining a basic metabolism value; combining the basic metabolism value and the growth net energy data to construct a model for predicting a net energy value required by growth; and inputting the predicted daily gain into a model for predicting the net energy value required by growth to obtain the net intake growth energy value required by the target fingerling. By means of the method, the efficiency of the feed is improved, unnecessary waste of the feed is reduced, economic benefits are improved, and sustainable development of aquaculture is promoted.

The invention discloses an application of NPVF in promoting the food intake of fishes. The application comprises the following steps: 1, cloning an NPVF precursor gene; 2, analyzing the information of the precursor gene; and 3, carrying out experimental analysis on the influence of the NPVF on the food intake of acipenser baerii and the expression quantity of an appetite regulation factor by adopting an intraperitoneal injection method. The NPVF precursor gene is cloned and subjected to biosignal analysis, the influence of the NPVF precursor gene on promoting feeding of the Siberian sturgeons is subjected to experimental research, and an efficient culture scheme is provided for aquaculture of the Siberian sturgeons, so that various metabolic diseases caused by insufficient energy intake in the development process of offspring seeds are avoided, the growth and development of the offspring seeds are promoted, and the survival rate of the offspring seeds is increased. Wide application prospects are realized.

The invention discloses an accurate energy control and fat reduction special diet composition based on homology of traditional Chinese medicine and food and a preparation method and application thereof.The composition is composed of soybean protein isolate, medium chain triglyceride, konjaku flour, inulin, white kidney bean extract, calcium beta-hydroxy-beta-methyl butyrate and other components, and a scientific formula is formed through accurate proportioning. The preparation method comprises the steps of raw material weighing, step-by-step mixing, granulation or homogenization treatment and the like, firstly, soybean protein isolate and medium chain triglyceride are mixed to prepare a basic protein and fat mixture, then other components are sequentially added, and finally the uniform and fine special diet composition is prepared. The special diet composition can accurately regulate and control energy intake, lipid metabolism is synergistically promoted through ingredients such as medium chain triglyceride, the konjaku flour, the inulin and the probiotics are utilized to enhance satiety and optimize intestinal health, meanwhile, the advantages of the medicinal and edible plant extracts are exerted, and the special diet composition has the effects of traditional Chinese medicine conditioning and modern nutrition.

The invention provides a metabolic energy storage method based on multi-mode and dynamic metabolism analysis, in the weight losing process of a user, the metabolic characteristics of the user during energy excretion are determined through the multi-mode metabolic parameters in excretion information, the metabolic characteristics are dynamically corrected based on an energy consumption model, and the energy utilization rate of the user is improved. Obtaining an energy consumption value of the user in a specified weight losing stage; based on an energy intake model, extracting an intake energy value of the user in the specified weight-losing stage from the diet information, and determining an energy net storage amount of the user in the specified weight-losing stage through the intake energy value and the energy consumption value; and acquiring efficiency correction factors of various physiological mechanisms of the user on energy storage, and performing multi-dimensional correction on the net energy storage amount based on each efficiency correction factor to obtain the actual storage amount of metabolic energy of the user in the specified weight losing stage. Based on the scheme, multi-mode fusion quantification of the energy metabolism state can be realized, so that the weight losing efficiency of the user can be improved.

The present invention primarily relates to a combination agent for reducing appetite and / or for providing a feeling of satiety and / or for reducing energy intake and / or for reducing body weight. In addition, the present invention relates to a medical use of the combination agent, in particular for the treatment of overweight and obesity and for the prevention of cardiovascular disease, stroke, diabetes, and joint damage and wear of the spine, and to a non-therapeutic use of the combination agent. In particular, the focus of the present invention is on the use of the combination agent to provide a feeling of satiety and / or to reduce energy intake and / or to reduce body weight. Finally, the present invention relates to the use of the combination agent for the preparation of an orally consumable preparation or food ingredient and an orally consumable preparation or food ingredient prepared therefrom.

The invention provides an AI body type diagnosis platform which comprises a platform body capable of measuring physiological data such as height, weight, BMI, body fat rate, moisture rate, muscle rate and bone mass, a display screen, a USB interface and a data processing mainboard, and the platform body further comprises a space distance measurement dot matrix device used for measuring the dot matrix space position of the body surface of a testee. Therefore, the data processing main board constructs a human body dot matrix model according to the dot matrix space position obtained through calculation, and physiological data of the dimensions of the neck, the upper arms, the thighs and the shanks are obtained. According to the AI body type diagnosis platform provided by the invention, reasonable diet recommendation can be given through a very small number of tests, and intake energy is identified through a later daily diet picture so as to continuously display whether the change of the three-dimensional model is close to a target, so that whether the diet recommendation needs to be improved or not is known; and meanwhile, psychological confidence is given to a measurer through prediction data adjustment.

The present application relates to a medicine for preventing or treating metabolic diseases and application, and relates to the technical field of biological medicine, and application of N-acetyl valine in preparation of products for treating or preventing metabolic diseases, the present application proposes a new type of metabolic regulation medicine, functional food or nutritional supplement based on N-acetyl valine, which is applied to the prevention and treatment of obesity and metabolic diseases.N-acetyl valine can effectively prevent and treat obesity and related diseases by regulating energy intake and energy consumption, maintaining energy balance.N-acetyl valine, as a metabolite induced by exercise, has a double regulation mechanism: on the one hand, it regulates energy intake, and on the other hand, it promotes energy consumption, thereby achieving sustained metabolic regulation in a physiological environment; N-acetyl valine has a long in-vivo action time, small side effects and significant fat-reducing effect.

The present invention relates to compositions for use in reducing energy intake, enhancing satiety and / or enhancing energy expenditure. The composition of the invention comprises: (i) l- carnitine, (ii) dihydrocapsiate and (iii) yeast hydrolysate for use in reducing energy intake, enhancing satiety and / or enhancing energy expenditure. The invention provides methods of weight management comprising administration of a composition of the invention. Advantageously, the compositions and methods of the invention may be used for individuals who are overweight, obese or maintaining a desired body weight, such as after weight loss.

The invention relates to the technical field of nutrition formulas, in particular to a special oral dietary fiber composition for controlling energy intake for children, which comprises 40-55 parts of pea protein isolate, 20-30 parts of resistant dextrin, 10-15 parts of fructo-oligosaccharide and 5-8 parts of natural berry powder. The resistant dextrin and the pea protein are added into the composition to generate a synergistic effect, so that the insulin sensitivity of children using the composition can be improved, and the condition of abnormal blood glucose fluctuation of the children using the composition is reduced; meanwhile, the combination of the resistant dextrin and the fructo-oligosaccharide can delay the absorption of carbohydrates by the children and increase the satiety of the children, so that the children are assisted in controlling the intake of energy.

This invention discloses a composition with weight-loss effects, relating to the fields of functional foods, health foods, or pharmaceuticals. The composition with weight-loss effects is prepared from components comprising the following parts by weight: 10-30 parts of Fat Burner™ Moroccan Cardamom Extract, 5-20 parts of Gingerol, 15-40 parts of Green Tea Extract, 20-50 parts of L-Carnitine, 30-60 parts of Dietary Fiber, 10-30 parts of Auxiliary Ingredients, and 1-10 parts of Lipid Metabolism Activator. This invention leverages the synergistic advantages of multi-target activation of fat metabolism, reduction of energy intake, and improvement of metabolic health, effectively overcoming the limitations of existing technologies such as insufficient synergistic effects of natural weight-loss ingredient combinations, limited fat metabolism promotion effects, and significant side effects of chemical drugs.

The invention relates to the field of diet management, in particular to a diet management system based on a carbon optimization technology, which is provided with an input module for collecting diet information of a user on that day, and a basic processor for calculating the total intake energy of the user, preprocessing the total intake energy, generating corresponding preprocessing data, and sending the preprocessing data to the user. The system comprises a preprocessing module used for preprocessing data and selecting a plurality of index characteristics of the preprocessed data, a machine learning module used for learning the preprocessed data according to a standard sampling rate and the index characteristics and obtaining a plurality of next-day recommended recipes and next-day recommended recipes, and a recommendation module used for displaying the next-day recommended recipes and displaying the next-day recommended recipes after a user clicks the recipes. According to the technical scheme, daily diet is input through voice, diet suggestions are generated and displayed, through machine learning, the speed of food energy recognition is increased, the healthy degree of user diet is increased, then corresponding recipes are recommended to users, and personalized effective control over food calorie data is achieved.

The invention relates to the field of intelligent recommendation of recipes, in particular to a diet recommendation method based on candidate menu generation and nutrition-driven multi-objective optimization. The method comprises the following steps: firstly, constructing a collaborative recommendation model HyKBC-Rec fusing hyperbolic knowledge graph embedding and a knowledge perception attention mechanism, modeling a hierarchical semantic relationship between menus in a hyperbolic space, and carrying out weighted aggregation on historical diet behaviors of a user through multi-head attention; therefore, robust user preference modeling is realized under the condition of sparse user-menu interaction data. Secondly, a nutrition-driven multi-target weekly catering optimization algorithm NDMO is provided, and on the premise that hard constraints such as energy intake, menu number and repetition times are met, targets such as Chinese healthy dietary index, low sodium, energy stability, food diversity and food group coverage are synergistically optimized; and an executable personalized weekly diet scheme is generated through a multi-objective evolutionary optimization method.

The invention discloses a fat reduction strategy generation method and device, electronic equipment and a computer program product. The method relates to the technical field of artificial intelligence and comprises the steps that body data and preference data of a target user are collected, and the body data at least comprises metabolism data and daily basic activity consumption data; a candidate fat reduction strategy set is determined according to the body data and the preference data, and each fat reduction strategy comprises an exercise strategy and an energy intake strategy; for each fat reduction strategy, calculating dynamic calorie data according to the body data and the content of the fat reduction strategy, and determining dynamic weight data according to the dynamic calorie data and the current weight of the target user; and according to the dynamic weight data and the preference data associated with each fat-reducing strategy, screening out a target fat-reducing strategy from the candidate fat-reducing strategy set. Through the method and the device, the problem that the fat reduction success rate is affected due to the fact that fat reduction strategies in related technologies are difficult to adapt to the state of the user is solved.

Disclosed concepts aim to provide schemes, solutions, concepts, designs, methods, and systems pertaining to improved prediction of gestational weight gain (GWG). Specifically, a data series describing weight of the pregnant subject at least twice per day (e.g., after waking up, and before going to sleep) during an early stage of pregnancy (e.g., during the first 30 days of pregnancy, or during the first trimester) is used to determine a historic GWG curve of the subject. As energy balance in pregnancy is defined as energy intake equal to energy expenditure plus dynamic energy storage, a specific GWG prediction model is used to generate the historic GWG curve, rather than a generic weight gain model. From the historic GWG curve, a future GWG value of the subject may be predicted. This future GWG value may be used to assess a pregnancy risk score, and / or to generate lifestyle recommendations for the subject.

The application provides a metabolic energy storage method based on multi-modal and dynamic metabolic analysis. In the weight loss process of a user, metabolic characteristics of the user during energy excretion are determined through metabolic parameters of multi-modal in excretion information, the metabolic characteristics are dynamically corrected based on an energy consumption model, and an energy consumption value of the user in a specified weight loss stage is obtained. An intake energy value of the user in the specified weight loss stage is extracted from diet information based on an energy intake model, and the energy net storage amount of the user in the specified weight loss stage is determined through the intake energy value and the energy consumption value. Efficiency correction factors of various physiological mechanisms of the user for energy storage are obtained, the energy net storage amount is corrected in multiple dimensions based on the various efficiency correction factors, and the actual storage amount of metabolic energy of the user in the specified weight loss stage is obtained. Based on the above scheme, multi-modal fusion quantification of energy metabolic state can be realized, so that the weight loss efficiency of the user can be improved.

The application discloses a health scheme generation method and system based on clinical reasoning atlas and metabolic simulation, which first performs pathological logic conflict detection, locks the highest priority pathological feature label in advance, effectively solves the diet taboo conflict caused by the coexistence of multiple diseases, and then constructs a clinical reasoning atlas of the daily energy intake scheme based on the highest priority pathological feature label, takes the clinical reasoning atlas as a user's individualized dynamic decision topology network, takes a large model as a health scheme text generation tool, decouples decision nodes and text expression nodes in a physical structure, ensures that the generated health scheme has a traceable and determined clinical logic path, and further constructs a user's digital virtual patient model, which can accurately evaluate the dynamic metabolic reaction of the health scheme in the user's body, discovers and intercepts potential risks that may cause abnormal physiological reactions of the user in advance, and realizes a leap from text compliance to physiological safety.

The invention relates to the technical field of user diet management, and discloses a weight management method and device based on user characteristics and a diet recommendation method and device.According to the weight management method based on the user characteristics, an energy intake distribution model is combined with label information of a target user, a weight management target, an energy recommendation target and current motion information, so that the weight management efficiency is improved; according to the embodiment of the invention, the dynamic adjustment scheme of the daily diet suggestion can be generated, so that the accurate diet suggestion can be provided for the target user even if the real-time movement of the target user and / or the intake of each meal is changed, the target user is helped to realize the weight management target, and the weight management experience of the target user is enhanced. Therefore, according to the invention, not only can the future diet plan of the target user be dynamically adjusted to realize the weight management target of the target user, but also the recipe can be accurately recommended for the target user according to the diet preference of the target user.

The present invention relates to a functional composition for improving the appetite of people in plateaus, the functional composition comprising inulin, codonopsis polysaccharide and bifidobacterium. Experiments show that under the conditions of rapid plateau environment, the combination of these three functional factors can increase the relative abundance of beneficial bacteria such as bifidobacteria in the intestines of mice, and the relative abundance is significantly higher than that of the original control group (P < 0.05), fully exerting the role of regulating intestinal flora; and the synergistic effect of the three functional factors can affect the secretion of appetite hormones and food intake of mice, and has the effect of improving the appetite of people in rapid plateaus. Among them, the appetite-improving effect of the medium- and high-dose inulin group, the low-dose codonopsis polysaccharide group, and the low-dose bifidobacterium group is the most significant. The PYY concentration in the serum of the test group of the composition decreased, and the NPY concentration increased, which alleviated the reduced energy intake and weight loss caused by loss of appetite, and had the functional effect of regulating intestinal flora and improving the appetite of people in rapid plateaus.