22 results about "Energy intakes" patented technology

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 relates to the technical field of anorexia risk prediction, and discloses an anorexia risk prediction system based on multi-modal data, which comprises a multi-dimensional monitoring module and an intelligent evaluation module. According to the system, health management data and daily life management data of all individuals are obtained through a multi-dimensional monitoring module and are classified to form a data set, and an intelligent evaluation module evaluates the actual energy demand required by the individuals for maintaining the current body weight, generates basic energy consumption, evaluates the individual physical activity level coefficient, generates an energy intake gap, and obtains the health management data and the daily life management data. Metabolic characteristics of different ages, genders and groups are fully considered, the multi-dimensional assessment precision is high, the intelligent assessment module sets a fixed monitoring period, dynamically tracks the change trend of health key indexes, accurately quantifies and assesses the health injury degree of an individual caused by anorexia behaviors, generates injury indexes, quantifies risk levels, and improves the assessment accuracy. Intendencies of individuals to different anorexia subtypes are distinguished, corresponding early warning signals and feeding suggestions are output, and grading early warning screening efficiency is high.

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.

The present application belongs to the technical field of ocean renewable energy equipment testing, and particularly relates to a wind and wave combined power generation device, comprising: a semi-submersible platform mechanism; a double-rotor wind turbine mechanism fixedly arranged at the top end of the semi-submersible platform mechanism; a wave energy capturing mechanism arranged on the semi-submersible platform mechanism; an energy intake system in driving connection with the wave energy capturing mechanism, the energy intake system being used for receiving wave energy absorbed by the wave energy capturing mechanism and storing the wave energy; and a data acquisition system arranged on the semi-submersible platform mechanism, the double-rotor wind turbine mechanism, the wave energy capturing mechanism and the energy intake system, the data acquisition system being connected with a data acquisition terminal. The present application can realize wind-wave-mooring multi-field coupling, and accurately acquire structural stress, motion performance and energy conversion parameters.

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.

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 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 present invention provides a sugar-restricted, high-fat diet for improving liver disease. In the sugar-restricted, high-fat diet, daily fat intake may be set at 120 g or more based on a real body weight of 50 kg or set at an amount corresponding to 70% or more of the total daily energy intake. The sugar-restricted, high-fat diet can reduce body fat mass and AST, ALT, and γ-GTP levels in nonalcoholic fatty liver disease patients.

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.

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 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.

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.

Provided in the present disclosure are an analyte concentration data-based processing device and a related method. The processing device comprises an acquisition module and a processing module. The acquisition module is configured to receive first analyte data related to a glucose concentration and second analyte data related to a ketone body concentration obtained by continuously monitoring at least two analytes of a target subject using an analyte sensor. The processing module is configured to acquire, on the basis of the first analyte data and the second analyte data, analyte concentration data comprising glucose concentration data and ketone body concentration data, acquire, on the basis of the analyte concentration data within a time period, at least one feature set, and determine, on the basis of the at least one feature set, target information at least comprising energy information. The energy information is the relationship between estimated energy intake and energy expenditure of the target subject, where the energy intake is the energy derived from ingested carbohydrates, and the energy expenditure is the energy that is consumed. Therefore, the convenience of evaluating the relationship between carbohydrate intake and consumption can be improved.

To effectively improve or prevent cognitive decline or frailty in test subjects. [Solution] The intervention device includes a portable terminal that acquires the amount of energy intake from protein based on the subject's dietary history information, a measuring device that acquires the amount of energy expenditure from the subject, and a processor, which is connected to the portable terminal and the measuring device in a communicative manner. The intervention device determines whether the subject needs to take measures to prevent cognitive decline or frailty based on the ratio of energy intake to energy expenditure, and if it is determined that there is a need to prevent cognitive decline or frailty, it instructs the portable terminal to take measures to intervene in the subject's diet.