587 results about "Body weight" patented technology

Disclosed herein are methods for treating a subject with T2DM, obesity, or overweight with at least one weight related comorbidity using a glucagon-like peptide-1 (GLP-1) receptor non-peptide agonist (NPA) compound selected from Compound 1, Compound 1a, Compound 2, Compound 3, pharmaceutically acceptable salts thereof, and hydrates of the compounds and pharmaceutically acceptable salts, by oral administration to maintain body weight loss or reduced HbA1c levels resulting from a prior treatment with a GLP-1 RA. Also disclosed herein are uses of a GLP-1 receptor NPA compound for the manufacture of a medicament for treating a subject with T2DM, obesity, or overweight with at least one weight related comorbidity to maintain body weight loss or reduced HbA1c levels resulting from a prior treatment with a GLP-1 RA.

The embodiment of the invention discloses a feeding method and device capable of accurately regulating and controlling the feed intake of sows. The method comprises the following steps: identifying an individual identity through an electronic ear tag, and collecting backfat thickness, body condition score and weight data by using an inspection robot; dynamically calling a standard feeding curve based on the fetus number and the body condition score, and finely adjusting the target feed intake in combination with the body weight change trend; a quantitative or interactive feeding mode is adopted in the gestation period, feeding is carried out with different meals of wet mixed feed in the lactation period, and the feed-water ratio is dynamically adjusted; meanwhile, a data closed loop is constructed, a feeding strategy is optimized through big data analysis, and abnormal individuals are visualized. According to the scheme, precise self-adaptive regulation and control of the feeding behavior of the sow in the whole breeding cycle are achieved, and the feed efficiency and the breeding performance are remarkably improved.

The invention relates to a weight loss intervention method and device for chronic renal failure and obesity patients based on an individualized prescription. The method comprises the following steps: constructing a multi-modal dynamic time sequence feature vector of a patient; identifying and quantifying potential causal effects of different weight loss intervention measures on physiological outcomes of renal functions, electrolyte balance, anemia states, bone mineral metabolism and weight indexes of the CKD patient according to a dual robust estimator; dynamically constructing a weight loss intervention measure causal model according to the potential causal effect of the physiological outcome of each patient and the physiological and pathological background; and inputting the multi-modal dynamic time sequence feature vector of the patient into a weight loss intervention measure causal model, and generating a daily diet scheme, an exercise scheme and corresponding high-confidence risk early warning and causal explanation of the patient. The method overcomes the limitation that the traditional method only pays attention to correlation and cannot clearly determine the intervention effect, ensures that the causal atlas and the intervention scheme are optimized according to the real-time change state of the patient, and realizes a real dynamic prescription.

The invention discloses a postoperative monitoring system and method for a metabolic weight loss surgery patient, and the system comprises a multi-source data collection module which is used for obtaining physiological parameters, behavior data and environment data of the patient in real time, the physiological parameters comprise body weight, blood sugar and body composition indexes, and the behavior data comprise exercise amount and diet records; the environment data comprises temperature, humidity and geographic position; the central processing platform is connected with the multi-source data acquisition module and comprises a data fusion unit for performing space-time alignment and dimension reduction processing on the multi-source heterogeneous data by adopting a feature level fusion algorithm; the dynamic risk assessment unit is used for constructing a patient personalized metabolism model based on the fused data, and dynamically generating nutrition loss and complication recurrence risk indexes through a machine learning algorithm; and the intelligent early warning module triggers a graded early warning signal according to the risk index, generates a personalized intervention scheme and pushes the personalized intervention scheme to the doctor-patient terminal.

The invention discloses a sheep weight and size measuring system and method, and relates to the technical field of animal husbandry breeding intelligent management. Firstly, the invention discloses a sheep weight and body size measuring system, which comprises a PLC (Programmable Logic Controller), a computer, a channel module, a blocking module, an identity recognition module, an entrance module, an image acquisition module, a weighing module and a grouping module, wherein the PLC is in communication connection with the computer. Secondly, the invention discloses a method for measuring the weight and the body size of the sheep, and the method comprises the following steps: S1, driving the sheep into a guide channel at the entrance of the system, and arranging a queue; and S2, a worker starts a blocking module to communicate the recognition channel with the guide channel, and after the first sheep enters the recognition channel, the blocking module is started again to block the space between the recognition channel and the guide channel and block the next sheep. The device has the advantages of automation, high precision and non-contact, so that personal errors and sheep stress are reduced, and the working efficiency is improved.

The invention relates to the technical field of beef cattle breeding, and particularly provides a beef cattle meat percentage prediction method and system based on dynamic physiology and AI three-dimensional body size fusion, and the method comprises the following steps: obtaining the real-time three-dimensional body size data of a target beef cattle, inputting a pre-training AI weight estimation model to obtain the real-time weight data, and carrying out the timestamp association; acquiring dynamic physiological data, and integrating the dynamic physiological data with the body size and weight data associated with the time sequence into a multi-source time sequence data set; multi-source data space-time alignment is completed through a time sequence attention fusion model, time sequence causal association of body weight, physiology and body size changes is mined through an attention mechanism, and a fusion association feature set is generated; and inputting the feature set into a meat percentage prediction model, and outputting a result containing a meat percentage prediction value and a causal association basis. The method breaks through the limitation of traditional static prediction, dynamic high-precision prediction is realized, the causal basis can support the breeding decision, and the precise breeding level and breeding benefits are improved.

An article for performing exercise that may include an attacher piece to attach to an elevated object and an extender piece to extend a horizontal distance from the elevated object while the attacher piece is attached to the elevated object and while the extender piece is connected to the attacher piece. The article may also include a weight suspension piece to suspend a body of weight therefrom while the weight suspension piece is connected to the extension piece. The article may also include a supporter piece configured to extend from at least one of the extender piece and the weight suspension piece to apply force against the elevated object, thereby providing additional support for the suspension of the body of weight from the weight suspension piece.

The invention provides an airway atomization flow intelligent drug delivery control method and system, and relates to the technical field of medical instruments.The method comprises the steps that basic information of the age, the weight and the illness state severity of a patient is obtained, and physiological parameters of the respiratory rate and the tidal volume of the patient are collected in real time through a sensor; inputting the basic information and the physiological parameters into a fuzzy adaptive control algorithm, and initializing an individual administration rule base according to the basic information; based on the real-time change trend of the respiratory rate and the tidal volume, three initial control index values including an atomization flow value, a drug concentration value and a time interval are dynamically generated through a membership function. According to the invention, through the full-process design of data acquisition, intelligent modeling, accurate execution and data closed loop, intelligentization of atomization treatment is realized.

The invention discloses an application of ganoderma lucidum spore oil in preparation of a medicine or health food for improving sarcopenia. Ganoderma lucidum spore oil can effectively improve weight loss and muscle hypofunction induced by glucocorticoid, and improve the holding power and exercise tolerance level of the body; meanwhile, the skeletal muscle mass and the muscle fiber cross sectional area can be increased, and the skeletal muscle tissue morphological structure is improved; in addition, the ganoderma lucidum spore oil can improve the oxidation resistance of the body and skeletal muscle and reduce the oxidative stress level, so that the skeletal muscle injury related to aging is relieved on the whole. Therefore, the ganoderma lucidum spore oil has a definite application value in the aspect of improving the skeletal muscle function.

The invention belongs to the technical field of intelligent feeding for cow breeding, and discloses a cow feed proportioning optimization method based on artificial intelligence. Body weight, movement, heart rate, temperature and humidity and feed component sensors are arranged in dairy cow individuals and a breeding environment, physiological data and environmental data are collected, and the physiological data and the environmental data are transmitted to edge computing equipment and a cloud platform through a wireless network to be preprocessed and stored. And the artificial intelligence analysis module is used for generating a personalized feed formula of each cow based on a machine learning and / or deep learning model in combination with an optimized objective function, and carrying out environmental adaptability adjustment according to temperature, humidity and feed component changes. The system controls the automatic feeding equipment to perform quantitative feeding according to the heads, and utilizes feedback data of milk amount, body weight and exercise amount to update health state indexes and continuously correct feed proportion. On the premise of meeting individual nutritional requirements of dairy cows, the feed utilization rate and the production performance are improved, the feed cost and the disease risk are reduced, and the feed is suitable for fine management of large-scale pastures.

The invention relates to the technical field of health assessment, in particular to an orthopedic rehabilitation process real-time monitoring and assessment method, which comprises the following steps of: based on gait biomechanical parameters, identifying feature points, optimizing nodes in combination with body weight, stride frequency and stride change, extracting node correction parameter groups, analyzing muscle force change of knee joints and ankle joints, and evaluating the rehabilitation process of the orthopedics department. And combining the gait stability and the joint movement to obtain a correlation index proportion sequence. Parameters such as stride frequency, stride and body weight are combined with automatic recognition of feature points in a gait cycle, the time sequence sensitivity and individual adaptability of data are enhanced by dynamically correcting a feature point judgment standard, muscle force recovery and gait stability indexes are synchronously integrated and quantified in different stages, and the accuracy and the accuracy of gait recognition are improved. The linkage relation between the indexes can be adjusted according to real-time data, accurate tracking of a function recovery path is further supported, and the rehabilitation progress can be reflected by a dynamic structure of multi-dimensional parameters.

The invention discloses a rehabilitation training action difficulty grading analysis and scheme recommendation method and system. The method comprises the following steps: defining a geometric center of a key virtual joint point; calculating a human joint mass center and a moving limb mass center; joint kinematics parameter meters are calculated, wherein the joint kinematics parameter meters comprise angles, angular velocities and angular accelerations; based on the mass center of the moving limb, the body weight ratio and the kinematics parameters, calculating torque in combination with a mechanics principle; based on prime mover muscle analysis of a human body posture, combining a joint angle and an angular velocity direction, and performing work division according to functions of prime mover muscles in human anatomy; evaluating an action difficulty grade; and comparing the actual functional state of the patient with the training standard corresponding to the current difficulty weight. The recognition precision is remarkably improved.

The invention relates to the technical field of intelligent health equipment data processing, and provides a body fat data dynamic trend analysis method and system based on an intelligent body fat scale. The method comprises the steps that body fat related data of a user are obtained, the body fat related data at least comprise body fat indexes and collection time, and the body fat indexes at least comprise the body weight, the body fat rate, the muscle mass and the body moisture content; preprocessing the body fat related data to form a standardized body fat data sequence; analyzing first association information among the plurality of body fat indexes and second association information of each body fat index and the collection time, generating a trend prediction result of the body fat related data in a future preset time period in combination with the historical body fat data sequence, and generating a dynamic trend curve of the body fat data; and performing anomaly detection based on the dynamic trend curve and the trend prediction result, and generating corresponding health early warning information and personalized improvement suggestions. And a complete and efficient body fat data dynamic analysis system is constructed.

The invention discloses a gait analysis and posture correction intelligent insole suitable for high-weight crowds and a preparation method of the gait analysis and posture correction intelligent insole. The intelligent insole comprises a composite functional layer, an electrode layer and a packaging layer, and the composite functional layer comprises a linear elastic gasket and a sensing material arranged in an opening area of the linear elastic gasket. The sensing material adopts a wedge-shaped structure design, and the effective contact area between the sensing material and the electrode can be linearly changed along with the compression displacement under the constraint action of the linear elastic washer, so that the high-linearity electrical response of a pressure signal is realized. And the adjacent sensing units are physically isolated by the linear elastic washers, so that the crosstalk phenomenon in the pressure sensing array is effectively reduced. Through linear regulation and control of the linear elastic gasket on mechanical response and cooperative modulation of the wedge-shaped structure sensing material on electrical response, stable and high-linearity plantar pressure detection is achieved under the condition of high plantar load, and the device is suitable for gait analysis and posture correction of high-weight people in the states of standing, walking, running and the like.

The invention relates to the technical field of intelligent medical treatment, in particular to a pregnancy management system and method based on big data, and the system comprises an abnormal segment recognition module, a deviation feature extraction module, a risk type recognition module, an abnormal trend prediction module and a physiological data management module. According to the method, the abnormal fluctuation of the data sequence is recognized by calculating the variability of the physiological data in the cycle, the method is not limited to isolated single-point measurement any more, the dynamic stability of the index in a period of time is concerned, and then quantitative extraction is conducted on the variation trend of abnormal data segments such as body weight, blood sugar and blood pressure; for example, the change of body weight along with time is fitted into a slope, original data is converted into a structured trend feature, then the dynamic change trend of an individual is compared with a normal evolution benchmark extracted from a large-scale healthy pregnant woman group, and the severity that the current physiological state deviates from a normal track is accurately quantified.

The invention discloses a body fat prediction system and method based on a multi-band impedance signal, and relates to the technical field of big data analys.The method comprises the steps that impedance data of different segments under different frequency bands, the body fat amount, the lean body weight and the human body weight are collected; integrity verification is carried out on the impedance data, missing values are filled with mean values, abnormal values are removed and corrected, and meanwhile timestamp alignment is carried out; extracting features to construct an original impedance vector, and mapping the original impedance vector to a high-dimensional space through a random matrix to generate a random mapping function; constructing a time sequence regression model, taking the embedding dimension as an input layer, taking the body fat amount and the lean body mass as an output layer, and using mean square error calibration and back propagation updating; and through a mean square error weighting evaluation model, outputting a performance standard result. The system comprises a data acquisition module, a data preprocessing module, a random distribution embedding module, a time sequence model training module and a display module. The method can adapt to impedance characteristics of different crowds, is suitable for portable terminal or smart home body measurement, and can be used at high frequency in daily life.

The invention provides a diabetes abnormal index early warning system and method based on a recurrent neural network. The system comprises a data acquisition module which is responsible for collecting various health data including blood sugar, heart rate, blood pressure, body weight, body fat, exercise amount, sleep quality and heart rate variability from health monitoring equipment of a patient; the data preprocessing module is used for denoising and normalizing the collected health data and detecting and correcting abnormal values; the feature extraction module is used for extracting time sequence features, statistical features and principal component features from the preprocessed health data; the convolutional gating recurrent neural network model module is used for analyzing the extracted features; and the early warning generation module generates early warning information according to the prediction result. Through the system and the method, the real-time monitoring of the multi-dimensional health data of the diabetic patient and the early warning of the abnormal indexes can be realized, and the diabetes management effect and the life quality of the patient can be improved.

The invention specifically relates to a smoking cessation person weight management auxiliary method and system, and the method comprises the steps: obtaining a current multi-source weight data set of a user in response to a user data feedback signal of a smoking cessation person, the current multi-source weight data set at least comprises genotype data features of the user, current weight data features and various types of life behavior data features; the current multi-source weight data set of the user is substituted into the intelligent weight management model, a weight management scheme matched with the user is selectively updated or generated, and the weight management scheme at least comprises a diet suggestion parameter set, an exercise suggestion parameter set and a current target combination parameter set; and obtaining a feedback instruction of the user for the body weight management scheme matched with the user, and selectively adjusting the intelligent body weight management model based on the feedback instruction. When the change of any data of the smoking cessation person is monitored, the body weight management scheme is automatically adjusted, and it is ensured that the user is matched with the body weight management scheme.

Balance training aids are disclosed. Example embodiments disclose a user placing all or part of their body weight on a top surface of a platform that is sitting atop an unstable base member and attempts to balance or complete a balance challenge. In example embodiments, the user places at least a portion of one foot atop the platform during the balance challenge. Adjustability features can be provided so as to provide a varying degree of adjustability to the unstable base member, and thus, provide a varying degree of balance challenges or levels of difficulty.

This invention discloses a weight management system, method, device, and storage medium for overweight and obese individuals based on standardized operating procedures, belonging to the field of health management technology. It includes an information collection and standardized input module; a health risk analysis and assessment module; a personalized intervention plan configuration module; a dynamic intervention execution and tracking management module; and an effect evaluation and optimization feedback module. The system of this invention achieves standardized collection of multi-dimensional basic data of users, health risk assessment and classification, standardized health risk assessment and classification, and effect evaluation and optimization feedback by constructing a collaborative operating system of the information collection and standardized input module, the health risk analysis and assessment module, the personalized intervention plan configuration module, the dynamic intervention execution and tracking management module, and the effect evaluation and optimization feedback module. Simultaneously, it identifies abnormal behaviors and generates early warning information through early warning rules, and uses the effect evaluation and optimization feedback module to comprehensively evaluate and dynamically optimize the intervention plan execution process.

The lower tibia fusion plate structurally comprises an upper plate part, a fusion plate body, a groove, an accessory assembly, a debugging structure and an auxiliary handle, the upper plate part is connected to the end of the fusion plate body in a sleeving mode, the debugging structure is installed in the middle of the fusion plate body through the groove, and the accessory assembly and the auxiliary handle are arranged on the outer side of the fusion plate body; by means of the accessory assembly and the debugging structure arranged in the middle and outside the fusion plate body, when the fusion plate body, the upper plate piece and the auxiliary handle are connected with the tibia through bone nails, the debugging structure in the groove in the middle of the fusion plate body can increase the fixing strength of the middle of the fusion plate body and the tibia in an abutting mode; in the tibia recovery period, the fixing strength of the auxiliary handle and the tibia can be adaptively adjusted on the outer side of the fusion plate body in an inclined mode by means of the accessory assembly, the overall strength of the fusion plate is better improved, the body weight of the human body can be supported, and the healing recovery process of the tibia can be accelerated.

1. The name of the design product: ultrasonic height scale (BYH07T). 2. The use of the design product: for measuring body weight and height. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention provides a health plan making method, a health plan making device and electronic equipment, which can be applied to the field of electronic equipment. In the technical scheme provided by the invention, the electronic equipment obtains a target weight reduction rate proportion of a user and a current body weight of the user, the target weight reduction rate proportion is a weight reduction rate proportion expected by the user, and the weight reduction rate proportion is a proportion of the body weight reduced in a first unit duration in the current body weight; determining the weight loss fat content corresponding to the target weight loss rate proportion, wherein the weight loss fat content is the proportion of the fat mass in the reduced body weight to the reduced body weight; and based on the weight loss fat content corresponding to the target weight loss rate ratio, the target weight loss rate ratio, the current body weight of the user, the fat calorie per unit weight and the lean body calorie per unit weight, determining a calorie gap of the user in the second unit time length, thereby providing a matched fat loss exercise plan for the user.

A body weight support system (100) for rehabilitation is disclosed. The system (100) includes a body weight support apparatus (102) configured to ease the load of a user (104) performing rehabilitation exercises using the apparatus (102). The apparatus (102) facilitates the user to move forward and backward upon detecting at least a change in the angle of at least one connecting member (106) used to support the user (104). The apparatus also reduces the load of the user (104) when load exerted by the user on the at least one connecting member (106) by the user (104) changes. The apparatus either winds or unwinds the at least one connecting member (106), based on the load exerted by the user (104) on the at least one connecting member (106).

The invention relates to the technical field of molecular markers, in particular to an SNP (Single Nucleotide Polymorphism) molecular marker for predicting the daily age character of a pig for correcting 100 kg weight and application of the SNP molecular marker. The molecular marker is Ggt at the 53th site, the 157th site and the 723th site of the 12th chromosome of the Sscrofa11.1 version of a pig genome; according to the present invention, the CHD3 gene has the A single nucleotide polymorphism (SNP), and the site is located in the CHD3 gene exon region and belongs to the nonsynymous SNV; whole genome association analysis (GWAS) is carried out on a group containing 428 pigs, it is found that the site is extremely remarkably related to the growth speed required for correcting the day age of 100 kg of the weight of an individual (P = 1.27 * 10 <-10 >), and the individual carrying G allele shows higher breeding value, can serve as an important marker for molecular assisted breeding, is not limited by factors such as age and sex, and can be used as a marker for molecular assisted breeding. The method is suitable for breeding excellent boars, and can accelerate the formation of populations with excellent growth performance and improve the breeding efficiency of improved breeds.

Methods and compositions promote weight loss in mammals, such as in humans and / or animals, such as, for example, pets. Specifically, the methods and compositions herein promote weight loss due to the production of appetite-suppressing gut hormones, increased metabolism, reduced fat and carbohydrate absorption, and reduced fat deposition through the synergistic combination of fibers and botanical extracts. Food products comprising the compositions herein provide a natural and effective means of controlling appetite and managing weight.

The instant invention is a device for aiding and enabling physical rehabilitation of patients with lower body disabilities. It is adaptable to a wide population of patients with varying sizes, bodyweights, conditions and pathologies. By customizing kinetic and kinematic movement parameters through the programmable control system, patients and therapists can start at an existing disabled state and progress to the desired rehabilitated state. The device is configured around a “Sit-to-Stand” movement which is a medical and therapeutical industry standard which can be measured and rated. Throughout the therapy motion, the patient is safely constrained and guided through a biomechanically sound pathway. Usage data is collected, stored and managed into reports in formats that are prescribed by doctors, therapists and insurance entities. The device is developed to be effective patient rehabilitation, efficient use of time and effort, and productive for clinical or home use.

1. The name of the design product: body fat scale (CF612BLE). 2. The use of the design product: for measuring body fat, body weight. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention discloses a lower limb load sensing rehabilitation walker and a load structure, and belongs to the technical field of rehabilitation instruments, the lower limb load sensing rehabilitation walker comprises a support, a sliding sleeve is slidably arranged on the support, and a connecting belt is fixedly mounted on the outer side of the sliding sleeve. The waist bandage is fixed to the waist of the patient, then the upper limb plate and the lower limb plate are fixed to the limbs of the patient for assembly, and in cooperation with the supporting plate and the supporting spring arranged at the bottom of the lower limb plate in a sliding mode, when the feet of the patient make contact with the ground, part of body gravity can be counteracted through the elastic force of the supporting spring on the supporting plate; meanwhile, the weight can be flexibly adjusted according to the rehabilitation stage in cooperation with a supporting force adjusting mechanism, the elastic force of a supporting spring can be increased for a patient with weak muscle force in the initial rehabilitation stage so as to reduce the actual weight of the foot, and the elastic force can be gradually reduced along with the rehabilitation progress so as to increase the weight of the foot; progressive load sensing training is achieved, and the sensing adaptive capacity of the lower limbs to load pressure is practically improved.