36 results about "Energy expenditure" patented technology

The invention discloses a lower limb muscle fatigue assessment method and system based on multi-modal physiological signals, and relates to the technical field of biomedical engineering, target muscles are selected, sEMG signals, AUS signals and respiratory flux VE data are synchronously collected, and RPE is recorded; preprocessing various signals to remove interference and abnormal points; extracting sEMG time-frequency domain features and AUS muscle thickness features; fusing features and constructing vectors in a standardized manner; dividing five fatigue grades; and a data set is divided according to stratified sampling, a model is optimized through five-fold cross validation, and real-time features are input to output a fatigue level. Multi-modal physiological signals are fused, fatigue evaluation accuracy is improved, different fatigue stages are finely adapted, muscle load and energy consumption are reduced through personalized adaption and a dynamic adjustment strategy, rehabilitation training safety and comfort are improved, and efficient recovery of lower limb movement functions is assisted.

The present disclosure relates to a method of preventing or treating a disease or disorder in a subject in need thereof, wherein administration of a composition of the present disclosure is effective to result in an increase of energy expenditure in the subject. The present disclosure provides a method of reducing fat mass and / or improving glycemic control in a subject in need thereof. The present disclosure provides a method of promoting weight loss and weight maintenance. The present disclosure provides a method of maintaining lean mass. Compositions for use in the methods include a compound of formula (I), (II), or (III), or pharmaceutically acceptable salts thereof, or in combination with a compound selected from the group consisting of an ACC2 inhibitor and an incretin mimetic.

The application discloses a hemodialysis patient protein energy consumption evaluation method, system, device, storage medium and product, relates to the technical field of medical informatics and clinical nutrition auxiliary decision-making, and the method comprises the following steps: acquiring basic information of a patient; determining multiple dimensions of the patient according to the basic information of the patient to obtain a dimension satisfaction number; respectively quantifying a subjective comprehensive nutrition evaluation grade and a malnutrition inflammation evaluation to obtain a subjective comprehensive nutrition evaluation grade quantification score and a malnutrition inflammation evaluation quantification score; obtaining a comprehensive risk score according to the subjective comprehensive nutrition evaluation grade quantification score, the malnutrition inflammation evaluation quantification score, the dimension determination value, an inflammation additional score and a phase angle additional score; and determining a protein energy consumption state according to the comprehensive risk score, the dimension satisfaction number, the subjective comprehensive nutrition evaluation grade and the malnutrition inflammation evaluation score. The application can realize accurate evaluation of protein energy consumption.

The invention discloses a fatigue degree evaluation method and system based on action energy consumption, and the method comprises the steps: firstly constructing a professional knowledge base covering human activity energy consumption characteristics, and embedding the professional knowledge base into a retrieval enhancement generation (RAG) framework to generate vectorized knowledge representation; then, decomposing the maintenance task into basic action units, and performing energy consumption analysis on each action unit by utilizing the vector knowledge base to obtain a corresponding energy consumption estimated value; and based on the energy consumption data of each action unit and the actual duration thereof, performing weighted calculation on the overall average energy consumption level of the task. And finally, comparing the average energy consumption value with a preset fatigue quantitative standard table, and determining a corresponding fatigue grade. The system comprises a knowledge base module, an energy consumption estimation module and a fatigue evaluation module. According to the invention, accurate fatigue evaluation can be carried out on the maintenance task. The method can be widely applied to the field of data analysis.

A computer-implemented method of estimating a remaining number of usage sessions providable by an aerosol-generating device, the method comprising: determining a current energy storage capacity of an energy storage of the aerosol-generating device; determining an energy consumption of each usage session of a plurality of usage sessions based on a measurement of the energy consumption of the energy storage; determining a mean energy consumption per usage session from the plurality of usage sessions; determining a standard deviation of the energy consumption of the plurality of usage sessions; determining an estimated energy consumption of at least one upcoming usage session from the mean energy consumption per usage session and the standard deviation of the energy consumption of the plurality of usage sessions; and determining the remaining number of usage sessions providable by the aerosol-generating device from the estimated energy consumption and the current energy storage capacity.

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 invention addresses the problem of providing: an excellent drug which has an energy consumption promoting effect, suppresses an increase in body weight and body fat rate, and / or contributes to the prevention or amelioration of obesity; and a pharmaceutical composition, a food composition, or the like, which contains the drug. The problem can be solved by using a compound represented by formula (A). [Chemical Formula 1]

The invention is suitable for the technical field of data identification, and provides a fat-reducing energy consumption estimation method and device, and the method comprises the steps: obtaining body basic data and environment temperature, and calculating basic metabolism parameters according to the body basic data and the environment temperature; acquiring a moving track point, a current heart rate and a body surface temperature, and matching the estimated motion state and the motion intensity in each preset time period according to the moving track point, the current heart rate and the body surface temperature; and calculating fat reduction energy consumption according to the basic metabolic parameters, the estimated motion state in each preset time period and the motion intensity in each preset time period. According to the scheme, multiple key variables and dynamic data are introduced, so that the accuracy, comprehensiveness and individuation level of energy consumption estimation are remarkably improved.

Described herein are a method of increasing energy expenditure level in a subject, a method of reducing body weight in a subject, a method of decreasing the amount of white adipose (WAT) tissue and / or promoting browning of WAT in a subject, and / or a method of improving glucose tolerance and / or insulin sensitivity in a subject. Each of the methods includes downregulating the level and / or activity of Augmentor α (Augα), or downregulating the level and / or activity of anaplastic lymphoma kinase (ALK) in the subject. Also described herein are a method of decreasing energy expenditure level in a subject, and / or a method of increasing body weight in a subject. Each of the methods includes upregulating the level and / or activity of Augα, or upregulating the level and / or activity of ALK in the subject.

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.

A method for dynamically determining a user readiness score using a wearable device and a product thereof. The method includes: when the wearable device is worn by a user, detecting, by the wearable device, one or more sensor signals or physiological signals associated with the user; determining, by a processor, an assessment of two or more preparatory components based on the one or more sensor signals or physiological signals, where the two or more preparatory components include: body energy of the user associated with at least one of body energy consumption and body energy recovery of the user, mental energy of the user associated with at least one of body energy recovery and body energy consumption of the user, and physical energy recovery of the user associated with at least one of body energy recovery and body energy consumption of the user. Wherein the mental energy of the user is associated with at least one of mental energy consumption and mental energy recovery of the user; a readiness score for the user is determined by the processor based on the evaluation of each of the two or more readiness components.

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

Compositions and methods for the treatment of obesity and metabolic disorders using an GPR75 inhibitor are provided herein.

Systems and methods for tracking, analyzing, modelling and optimizing energy usage, energy costs and greenhouse gas (GHG) emissions for an energy-consuming entity having energy- consuming assets are described. The systems and methods involve obtaining energy consumption data for energy types from a plurality of energy sources for a time period, analyzing the energy consumption data for each energy type for the time period, including converting energy consumption to a common unit, determining energy cost, and determining emissions, and providing a user with the analysis of the energy consumption, cost and emissions for each energy type and a total for all types. Modelling is used to predict how a change in an energy-consuming asset, energy source and / or energy type will affect energy usage, energy costs and emissions. Energy use may be optimized by determining the optimal operation of one or more of an entity's energy-consuming assets.

The application aims to provide a ventricular assist conduit pump with small energy loss, high pumping flow and large lift, comprising a motor and a blood flow channel, a impeller is coaxially fixed on a distal motor shaft of the motor and located in the blood flow channel, the motor drives the impeller to rotate to suck blood from an inlet of the blood flow channel and pump the blood out from an outlet, a flow guide part is arranged between the motor and the impeller, the flow guide part comprises a conical column-shaped flow guide stator and guide vanes arranged on an outer circumferential surface of the flow guide stator, the extension direction of the guide vanes is helical, and the twist direction of the guide vanes is opposite to the twist direction of blades of the impeller. The flow guide part is arranged between the motor and the impeller, since the blood rotates along a second twist direction at an outlet of the blades, since the guide vanes also twist along the second twist direction at the distal end, i.e. consistent with the rotation direction of the blood, the function of receiving and guiding the blood is achieved, the blood is prevented from colliding with the guide vanes after flowing out of the impeller, the flow field is disturbed, and unnecessary energy consumption is reduced.

The disclosure relates to methods for losing weight by administering a therapeutically effective amount of 5-methoxy-2-aminoindan or a pharmaceutically acceptable salt thereof to a subject in need thereof for a period of time sufficient to increase basal energy expenditure. The disclosure also relates to methods for treating fatty liver disease by administering a therapeutically effective amount of 5-methoxy-2- aminoindan or a pharmaceutically acceptable salt thereof to a subject in need thereof.

The invention discloses an exercise training simulation method, system and device based on metabolic capability and a storage medium, and relates to the technical field of exercise physiological modeling and computer simulation, and the method comprises the steps: collecting basic metabolic parameters and exercise physiological data of a training object, and generating a metabolic feature vector; calculating a metabolic reaction rate and predicting energy consumption based on the metabolic feature vector and in combination with the training load parameter and the motion time sequence to obtain a metabolic response sequence under different training load conditions; correlation analysis of a time domain and an intensity domain is carried out on the metabolic response sequence, and the metabolic demand of the target training plan is compared with the metabolic response difference output by simulation; and according to a difference result, adjusting training load parameters and repeating simulation operation to generate a training simulation scheme. According to the method, precise modeling and dynamic simulation of individual metabolism are achieved, the training load is adjusted in a self-adaptive mode through metabolism difference analysis, and the matching degree and safety of the training plan and the actual metabolism capacity are improved.

In one example, a system includes telemetry circuitry configured for communication between a medical device and an external device associated with the medical device and processing circuitry. The processing circuitry is configured to determine an advertising interval for communication between the external device and the medical device based on sensor information from the external device. The processing circuitry is further configured to configure the medical device to advertise at the determined advertising interval.

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 present application relates to the technical field of physiological signal processing, and discloses an energy consumption estimation method and device based on electrocardiosignal and a storage medium. The method extracts beat-by-beat heart beat information, heart rate variability features and electrocardio-derived respiration features from an ECG signal, and combines signal quality control, metabolic intensity regression model and start-stop kinetics compensation to realize continuous estimation of instantaneous energy consumption rate and cumulative energy consumption.

The present disclosure relates to an electronic system and a computer-implemented method for determining a rate of energy expenditure of a person, the method comprising: receiving a first measurement indicative of a rate of transfer of energy from the body of a person to the environment; receiving a second measurement indicative of a measure of the thermal energy stored in the body of the person; calculating a change in the thermal energy stored in the body of the person using the second measurement; and calculating a rate of energy expenditure of the person using the rate of transfer of energy from the body of the person to the environment and the change in the thermal energy stored in the body.

This invention relates to the field of personal health and performance management technology. It discloses a personal energy collaborative management system based on a pentagonal model, comprising: a blessing quantification module configured to generate blessing points based on the user's altruistic behavior data, and to generate energy base value adjustment instructions based on the blessing points, updating the user's energy base value stored in the database. This system establishes a closed-loop collaborative architecture for the entire energy chain, breaking the functional fragmentation problem of traditional solutions and achieving integrated regulation of physical and mental energy; it can intelligently identify and shield internal and external energy consumption, stabilizing the user's physical and mental state; it accurately matches internal and external states and dynamically calibrates behavior, improving behavior execution efficiency; it quantifies and visualizes energy status, and constructs a three-dimensional intelligent intervention system from five dimensions, breaking through the limitations of single-dimensional management.

A method for dynamically determining an energy charge of a user. The method includes obtaining, by a processor, one or more sensor or physiological signals associated with the user and determining, by the processor, an estimation of a physical charge and a mental charge of the user based on the one or more sensor or physiological signals. The physical charge of the user is associated with physical energy consumption of the user, physical energy recovery of the user, or both, and the mental charge of the user is associated with mental energy consumption of the user, mental energy recovery of the user, or both. The method further includes determining, by the processor, the energy charge of the user based on the estimation of the physical charge and the mental charge of the user.

The invention discloses a smart running test method and system based on multi-source data. The method comprises the steps that physiological data and real-time environment parameters of a user are collected; generating a characteristic spectrum according to the user physiological data and the real-time environmental parameters, and modeling the characteristic spectrum by adopting a long-short term memory network to generate a first energy consumption sequence; constructing a dynamic compensation network according to nonlinear influence factors in the real-time environmental parameters, and correcting the first energy consumption sequence to generate a second energy consumption sequence; detecting an energy consumption abnormal point of the second energy consumption sequence, and generating an abnormal stage feature; and carrying out risk grade division according to the abnormal stage characteristics, generating risk early warning signals, and determining a final early warning result. The problem that an accurate early warning signal cannot be output due to the fact that the abnormal energy consumption stage in the running process cannot be accurately recognized in the prior art is solved, and the effect of improving the accuracy of the early warning signal is achieved.

Systems and methods for a wearable “exo-shell” to improve the gait of elderly people during obstacle avoidance tasks are disclosed. With payload and energy expenditure as a main focus of this design, the present system leverages switchable, passive systems, in combination with lightweight materials that minimize additional metabolic costs, while remaining as “transparent” to the user as possible when inactive.

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.