80 results about "Nutritional status" patented technology

The invention discloses a feed proportion abnormity identification method and system, and particularly relates to the field of feed proportion abnormity identification, and the method comprises the steps: extracting the disturbance variables of vibration amplitude, feeding speed and voiceprint waveform in multi-source disturbance data, constructing the disturbance time sequence expression of a frequency, form and amplitude triple feature structure, and carrying out the recognition of the vibration amplitude, the feeding speed and the voiceprint waveform. Extracting a disturbance characteristic track with center characterization capability in a cluster through atlas clustering, and writing the disturbance characteristic track into a track benchmark expression library; constructing an aligned trajectory expression set by analyzing the frequency domain structure and the time slice expression of each channel signal in the current batch of disturbance data and combining the binding relationship between the batch number and the formula number; by constructing an offset matching and track consistency judgment mechanism based on multi-source disturbance track expression, structured recognition and path logic verification of a formula drift phenomenon are realized, and the problem that the actual feed nutrition state is misjudged due to the fact that real proportion offset caused by residual feed cannot be recognized is solved.

According to the clinical nutrition intelligent management system and method disclosed by the invention, nutrition status evaluation is carried out by applying a nutrition comprehensive evaluation formula, the standardization and objectivity of evaluation are greatly improved, the formula quantifies multiple key factors and gives weights, different evaluators carry out calculation based on the same information and formula, and the consistency of evaluation results is ensured; besides, the comprehensive nutrition evaluation formula comprehensively considers the body mass index, the disease-related nutrition influence coefficient, the nutrition-related index comprehensive score, the diet health degree score and other aspects adjusted by age and gender, accurately reflects the actual nutrition condition of the patient, and solves the problem of insufficient accuracy of traditional evaluation. And the nutrition plan generation module can customize nutrition plans for patients according to the nutrition comprehensive evaluation indexes in combination with a preset rule base, so that individual requirements of different patients are fully met, and a scientific, accurate and personalized solution is provided for clinical nutrition management.

The invention provides a CKD nutrition management visual monitoring method and system based on big data, and relates to the technical field of data processing, and the method comprises the steps: carrying out the data preprocessing according to real-time health data, and obtaining a standardized health data set; according to the standardized health data set, evaluating nutritional requirements of the patient, and combining disease progression, individual differences and diet preferences of the patient to generate a personalized nutrition management scheme, the personalized nutrition management scheme including recommended diet, a nutrition supplement scheme and an intake behavior adjustment scheme; according to the personalized nutrition management scheme, a visual display interface is generated, and the visual display interface displays the nutrition state, diet suggestions, potential health risks and predicted effects of the patient; adjusting a personalized nutrition management scheme in real time according to feedback data and health state changes provided by the patient in the use process, and presenting an updated scheme through a visual display interface; the autonomy and accuracy of nutrition management are improved.

The invention provides a hemodialysis patient risk assessment system based on an objective assessment method, and relates to the technical field of medical data, and the system comprises a performance assessment unit which is used for collecting the clinical basic information of a hemodialysis patient, calculating a nutrition state index through the objective assessment method, and determining the performance of the hemodialysis patient; evaluating the evaluation efficiency of the objective evaluation method on the nutrition state indexes by using the subject working characteristic curve; the model construction unit is used for constructing a risk assessment model of the hemodialysis patient by utilizing a matter-element extension variable weight theory and a data fusion technology based on the efficiency assessment result; and the risk assessment unit is used for performing individual risk assessment on the hemodialysis patient by using the risk assessment model of the hemodialysis patient to obtain a risk assessment result. According to the method, efficient medical resource allocation, early recognition of high-risk patients, reduction of complications, improvement of patient prognosis and fusion of multiple technologies and theories are facilitated, and the innovativeness and flexibility of an evaluation system are improved.

The invention relates to a high-steam-quantity self-heating body and a steam eyeshade, the self-heating body comprises a nutrition layer and a heating layer, the nutrition layer is distributed on the inner side of the heating layer, and a temperature control breathable film I is arranged between the nutrition layer and the heating layer. The steam eyeshade has the advantages that the structure is simple, design is reasonable, the steam amount of the steam eyeshade can be obviously increased through the double-bag design, the physical thermal therapy effect is achieved, tear circulation and tear secretion are promoted, the nutritional condition of eye tissue is improved, and a certain effect is achieved for treating xerophthalmia.

The present application relates to a kind of nutrition state prognosis prediction model construction method and system based on weight dynamics, belong to medical information field.This method first establishes the population dataset containing individual weight information and nutrition state data, and carries out data preprocessing, including calculating weight loss percentage and defining outcome label.Subsequently, the dataset is divided into training set and test set, and the key features related to nutrition state prognosis are extracted from the training set by feature screening.Based on the screened features and training set, multiple machine learning classifiers are constructed, and the best model is selected according to the performance indicators of the classifier.Finally, the best model is used to predict the test set, and the performance of the model is evaluated.The present application uses weight dynamic information, without the aid of other information, can realize the high-performance prediction of common adverse nutrition state prognosis, has high practical value.

Methods of improving nutrition in subjects, including individuals who have undergone gastrointestinal surgery, by avexitide therapy are disclosed. Avexitide may be administered subcutaneously or intravenously as a part of a liquid pharmaceutical formulation. Avexitide therapy may improve weight and / or nutritional intake / status in subjects.

The invention discloses a method and a device for judging a blood folic acid deficiency boundary value by liquid chromatography-mass spectrometry in the technical field of medical detection. The method comprises the following steps: step 1, pre-treating a sample; step 2, UPLC-MS / MS detection is carried out; step 3, data calculation and verification; and 4, performing boundary value conversion and judgment. According to the method, the regression model is constructed by fitting experimental data, the boundary value of folic acid deficiency and edge deficiency detected by the liquid chromatography-mass spectrometry is defined, serum pretreatment and liquid chromatography are integrated through the developed micro-fluidic chip, the speed and accuracy of serum folic acid detection by the liquid chromatography-mass spectrometry are further improved, and the method is suitable for large-scale popularization and application. The clinical detection requirements are met, and the efficiency and accuracy of judging the folic acid nutritional status are improved.

The invention discloses a full-automatic cooking control method and a cooking machine. The full-automatic cooking control method comprises the steps that 1, a menu text is analyzed, actions and food material information are extracted, and a standardized food material list and an action sequence are generated; 2, calculating a temperature curve and a time sequence in combination with nutrition attenuation characteristics of the food materials; 3, controlling the feeding opportunity and the stir-frying rotating speed according to the temperature curve and the time sequence; step 4, calculating a nutrition score, and optimizing the seasoning amount by using the nutrition score and the seasoning cost; 5, quantifying the nutritional status of the dishes in combination with the seasoning amount, and outputting an evaluation result according to the user satisfaction; step 6, adjusting cooking parameters according to an evaluation result, and feeding back to the step 1 to realize taste individuation; according to the intelligent kitchen intelligent cooking system, the subject technologies of natural language processing, computer vision, thermodynamics, biology and reinforcement learning are fused, automation and personalized optimization of the whole cooking process are achieved, the consistency of cooking quality is remarkably improved, and an efficient and healthy cooking solution is provided for a household intelligent kitchen.

The present invention provides a hemodialysis patient risk assessment system based on an objective assessment method, which relates to the field of medical data technology and includes: an effectiveness assessment unit for collecting basic clinical information of hemodialysis patients, calculating nutritional status indicators through objective assessment methods, and evaluating the effectiveness of objective assessment methods on nutritional status indicators using receiver operating characteristic curves; a model construction unit for constructing a risk assessment model for hemodialysis patients based on the effectiveness assessment results using matter-element extension variable weight theory and data fusion technology; and a risk assessment unit for performing individualized risk assessment on hemodialysis patients using the risk assessment model for hemodialysis patients to obtain risk assessment results. The present invention helps to efficiently allocate medical resources, identify high-risk patients early, reduce the occurrence of complications, and improve patient prognosis. It integrates multiple technologies and theories to enhance the innovation and flexibility of the assessment system.

1. The name of this design product: Graphical user interface for a clinical nutrition management module for inpatients of an electronic device. 2. Purpose of this design product: Used for integrated nutrition management of hospitalized patients in doctor's workstations, for an electronic device. 3. The key design point of this design product lies in the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: main view. 5. Purpose of the graphical user interface: Used for integrated nutrition management of hospitalized patients in the doctor's workstation: used for nutrition screening, evaluation, nutrition prescription issuance, consultation and other operations for hospitalized patients, as well as preview of the patient's overall nutritional status and visual monitoring of indicators. 6. Human-computer interaction method of the graphical user interface: 1) Click the "Nutrition Order" icon button in the upper right corner of the main view to enter the interface change state diagram 1; 2) Click the "Yes" icon button in the interface change state diagram 1 to enter the interface change state diagram 2; 3) Click the "Not Required" icon button in the main interface change state diagram 2 and enter the relevant options to enter the interface change state diagram 3; 4) Enter a number in the "Gap Percentage" in the interface change state diagram 3 and press the Enter key to enter the interface change state diagram 4; 5) In the interface change state diagram 4, click the "Whole Hospital" button, check the "Serial Number" on the left, click the "Calculate" icon button on the right to enter the interface change state diagram 5; 6) Click the "EN Order" icon button in the interface change state diagram 5 to enter the interface change state diagram 6, enter a number in the "Gap Percentage" in the interface change state diagram 6 and press the Enter key, check the medicine on the left, and click Calculate on the right to refresh the interface to display the calculated value. 7) Click the "Value" button in the NRS2002 score "input box" in the interface change state diagram 6 to enter the interface change state diagram 7.

A system for tracking diet and nutrition includes an oral module configured to be affixed within a mouth of a user and including a set of salivary sensors responsive to a level of at least one nutrient. The system also includes a set of eating event sensors responsive to an eating event. The set of eating event sensors can be included in the oral module, or can be included in a body module configured to be affixed adjacent to a body part of the user.

The present application relates to the technical field of animal health monitoring, and relates to a wild animal non-invasive genome monitoring and population health evaluation system. A time indication marker is generated based on the ratio of a predetermined indicator bacteria genus, and microenvironment data is input into a pre-trained microbial succession model to intelligently infer the actual exposure time of the sample in the wild. Then, the initial intestinal flora map of the sample at the instant of discharge is reconstructed. The high-fidelity flora map after reconstruction is further deeply coupled with health evaluation to realize scientific diagnosis and early warning of the physiological state of wild animal individuals. The accuracy of health evaluation, nutritional status analysis and pathogen detection is greatly improved, and major misjudgments such as misjudging environmental bacteria as pathogenic bacteria or misdiagnosing flora natural decay as ecological imbalance are avoided. A stable and reliable technical tool is provided for wild animal protection management.

This invention relates to a precision nutrition decision-making system and method based on offline reinforcement learning, belonging to the field of medical informatics. The method collects and preprocesses patient medical record data, defining patient nutritional status indicators, nutritional intervention plans, and nutritional status benefits after intervention as the state space, action space, and reward function, respectively. Subsequently, an offline reinforcement learning algorithm is used to build a model, enabling the agent to learn to select the optimal nutritional intervention strategy under different nutritional conditions. Finally, the model performance is evaluated on a test dataset, and the impact of different intervention plans on patient nutritional status is compared. This invention can effectively improve the nutritional intervention effect for hospitalized patients and promote the rational allocation of medical resources, possessing high application value.

This invention belongs to the field of spectral detection technology, specifically relating to a method for detecting the nutritional status of honeysuckle plants based on near-infrared spectroscopy. It aims to solve the problems of strong specular reflection interference, moisture background shielding of nutrient signals, and insufficient applicability throughout the entire growth period in in-situ detection of live honeysuckle. The method suppresses specular reflection on the leaf surface through orthogonal extinction and collects deep diffuse reflectance spectra; it obtains standardized reflectance using real-time background difference and dark current compensation; it achieves moisture background decoupling through orthogonal signal correction and external parameter orthogonalization; it extracts feature wavelength vectors through multi-scale continuous wavelet transform; it inputs a deep residual network model with a self-attention mechanism and combines it with a phenological adaptive compensation algorithm to invert nutrient quality fractions; finally, it compares the results with a nutrient critical value database for the entire growth period to calculate the surplus / deficit index and complete nutrient diagnosis. This significantly improves the spectral signal-to-noise ratio and detection accuracy, achieving rapid and stable detection of the nutritional status of live honeysuckle throughout the entire growth period.

The invention provides a specific full-nutrient formula food applied to diet-restricted diabetes mellitus groups, and belongs to the technical field of formula foods for special medical purposes. According to the product, marine active substances and medicinal and edible traditional Chinese medicine extracts are innovatively compounded, and a multi-probiotic microencapsulation technology is combined, so that a specific full-nutrition formula with the functions of regulating blood sugar, improving insulin resistance and protecting target organ functions is formed. The formula comprises marine active ingredients such as marine collagen tripeptide, a sea cucumber saponin extract and fucoidan as well as medicinal and edible traditional Chinese medicine extracts such as mulberry leaves, rhizoma polygonati and radix puerariae, and oligopeptide, amino acid, multivitamins and mineral substances in a specific proportion are matched. Probiotics are protected by adopting a three-layer microencapsulation technology to pass through a gastric acid environment, active ingredients are reserved by utilizing a low-temperature enzymolysis and molecular directed extraction technology, and the nutritional status and blood sugar control of diabetic patients can be remarkably improved through clinical verification. The product conforms to the GB 29922-2013 special medical purpose formula food standard, can be used as a single nutrition source for diabetics, and meets the special nutrition requirements of the diabetics.

The invention relates to a method for preparing fructo-oligosaccharide through enzymolysis and application of the fructo-oligosaccharide in special medical food, and belongs to the field of enzyme engineering. The preparation method comprises the steps of raw material pretreatment, step-by-step enzymolysis, enzyme deactivation, separation and purification and the like. The step-by-step enzymolysis is divided into three stages, specific enzymes are respectively added in each stage, and the temperature, the pH value, the stirring speed and the reaction time are accurately controlled. Compared with the traditional method, the method has the advantages of high conversion rate, low by-product, high reaction efficiency and the like. Besides, the experiment of applying the fructo-oligosaccharide prepared by the method to the tumor total nutrient formula food shows that the fructo-oligosaccharide can effectively improve the nutritional status of experimental animals, has an obvious synergistic effect when being used together with related products, and has a good application value in the field of special medical foods.

The application belongs to the technical field of food processing, and particularly relates to egg white-chlorella compound protein gel and application thereof in preparation of dysphagia adaptive food. The application provides an egg white-chlorella compound protein gel, which is obtained by heating and cross-linking of egg white protein and chlorella protein dispersed in water. The gel has high protein density (protein content is greater than or equal to 12 w / w %) and low hardness (<120 g), and its swallowing adaptability meets the international dysphagia diet standardization initiative (IDDSI) 3-5 solid food standard, so that the eating needs of patients with moderate to severe dysphagia who cannot independently control liquid intake can be met, and a new food option with high nutritional density and excellent swallowing safety is provided for the patients, so that the nutritional status of the patients can be effectively improved and the life quality of the patients can be improved.

The system according to this embodiment aims to provide capsule-type meals tailored to the user's nutritional needs and preferences. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a generation unit, and a supply unit. The data collection unit collects the user's health data. The analysis unit analyzes the data collected by the data collection unit and estimates the user's nutritional status. Based on the nutritional status estimated by the analysis unit, the generation unit compresses ingredients to match the user's preferences and requests and generates capsule-type meals. The supply unit provides the capsule-type meals generated by the generation unit.

The application provides a system for non-invasively evaluating the intrauterine nutrition condition of a newborn and application thereof, and the system is used for analyzing the change of compound components in meconium of the newborn. The application first proposes a novel system and method for non-invasively evaluating the intrauterine nutrition condition of the newborn, and the method can quickly and conveniently evaluate the intrauterine nutrition condition of the newborn in a non-invasive manner.

The invention discloses a special biscuit for improving sperm fertilization ability of boars under heat stress and a processing method thereof, and the biscuit comprises the following components by weight: 10% of grease; the grease comprises DHA (docosahexaenoic acid) and EPA (eicosapentaenoic acid), and the weight ratios of the DHA and the EPA in the grease are respectively 30% and 35%; 8%-18% of an amino acid component; the weight ratio of lysine to methionine to tryptophan to threonine to arginine in the amino acid component is 100 to (26 to 38) to (18 to 32) to (70 to 90) to (60 to 120); the vitamin component comprises 0.6%-1.0% of vitamin A, 1%-3% of L-carnitine, 0.5%-1% of vitamin E and 0.5%-1% of vitamin D; the trace element components comprise 0.01%-0.1% of nano selenium, 0.1%-1% of nano zinc and 0.02% of organic chromium; and the balance of corn starch. The special biscuit can improve the sperm motility of the boars and improve the reproductive nutrition status of the boars, the special biscuit is designed into independent quantitative solid blocks, and the problems that powdery additives are inaccurate in metering, uneven in mixing and waste in throwing can be solved.

The invention discloses a nutrition intervention system and method for tumor chemoradiotherapy patients. The system comprises a molecular nutrition fingerprint acquisition module, a space-time prediction modeling module, a drug-nutrition collaborative optimization module, an intestinal flora-host metabolism modeling module and an active nutrition intervention execution module. By integrating gene polymorphism, intestinal flora and metabonomics data, an individualized molecular nutrition fingerprint is constructed, a deep learning algorithm is adopted to predict the change trend of a nutrition state, a molecular docking technology is adopted to optimize a drug-nutrition synergistic effect, a flora-host metabolism model is established to predict nutrient absorption efficiency, and the nutrient absorption efficiency is improved. And precise active nutrition intervention is realized. The technical problems that in the prior art, nutrition intervention is low in accuracy, preventive intervention cannot be achieved, and medicine-nutrition interaction is neglected are solved, and individualized nutrition management based on the molecular level is achieved.

The invention relates to the technical field of baby food, and particularly discloses compound amino acid multi-vitamin multi-mineral soybean protein food and a preparation method thereof. The compound amino acid multi-vitamin multi-mineral soybean protein food is prepared from the following components in parts by weight: a compound amino acid mixture, soybean peptide powder, solid corn syrup, a vitamin mixture, a mineral mixture, docosahexaenoic acid powder and choline bitartrate, the preparation method comprises the following steps: S1, pretreating the raw materials; s2, pre-dispersing mineral substances; s3, vitamin premixing; s4, main mixing; s5, carrying out homogenization treatment; and S6, sieving and packaging: sieving the homogeneous mixture with a 40-mesh sieve, and then sterilizing and packaging in vacuum. The compound amino acid multi-vitamin multi-mineral soybean protein food is used for supplementing special dietary nutrition for infants and children, and has the advantages of being comprehensive in nutrition, high in absorption efficiency and capable of effectively improving the nutritional status of the infants and children and promoting growth and development.

The invention provides a tobacco plant growth and development stage and nutrition state identification method and device based on an unmanned aerial vehicle technology, and the method comprises the following steps: 1, obtaining tobacco plant visible light images, collected by an unmanned aerial vehicle, of different growth and development stages and different nutrition states, and constructing a tobacco plant data set; 2, establishing a tobacco plant growth and development stage classification model and nutrition state classification models of different growth and development stages, and training the development stage classification model and the nutrition state classification models of different development stages based on the tobacco plant data set in the step 1; step 3, obtaining a to-be-identified tobacco plant visible light image collected by the unmanned aerial vehicle, sending the to-be-identified tobacco plant visible light image into the trained tobacco plant growth and development stage classification model to obtain a tobacco plant growth and development stage, and sending the to-be-identified tobacco plant visible light image into the nutrition state classification model of the corresponding growth and development stage to obtain a nutrition state classification model of the tobacco plant growth and development stage; the nutrition state of the tobacco plants is obtained.

The invention discloses an auxiliary nutrition preparation for cancer. The auxiliary nutrition preparation comprises the following components in percentage by mass: 60% of a cell nutrition supplementing component and 40% of an anti-cancer and cell repairing component. The preparation takes cell basic nutrition supply as a core, has auxiliary anticancer, cell protection and tissue repair functions, can effectively improve the nutrition state of cancer patients, alleviate treatment damage and enhance the immunity of the organism, is suitable for long-term nutrition support of high-risk groups in the tumor treatment period and the rehabilitation period, and is reasonable in formula, high in safety and good in application prospect.

The invention relates to the technical field of traditional Chinese medicine, and discloses a traditional Chinese medicine composition for promoting hair growth and a preparation method and application thereof.The traditional Chinese medicine composition is prepared from raw materials including notopterygium root, pawpaw, wine-processed ligusticum wallichii, angelica sinensis, prepared rehmannia root, prepared polygonum multiflorum, wine-processed glossy privet fruit, eclipta, mulberry, herba epimedii, gastrodia elata, barbary wolfberry fruit and Chinese yam according to a specific weight ratio. The preparation method comprises the following steps: preparing pills by using tender honey and honey water as adhesives by adopting a generic or plastic process, and carrying out covering treatment to obtain the traditional Chinese medicine honeyed pill preparation. The composition aims at the pathogenesis of liver and kidney deficiency and blood deficiency and wind dryness type alopecia, and through triple compatibility of nourishing liver and kidney to treat root causes, nourishing blood and activating blood to charge its source, and dispelling wind and dredging collaterals to open its way, the composition not only supplements the material basis of hair growth, but also improves the nutritional status of hair follicles and dredges stasis of hair orifices; the traditional Chinese medicine composition effectively solves the problems that an existing traditional Chinese medicine compound is tonified but not smooth, takes effect slowly, does not have an obvious curative effect on patients with wind pathogen or blood stasis syndromes and is high in relapse rate.

The invention relates to application of ergothioneine in preparation of a preparation for improving an ovarian reserve function. The invention creatively discovers that the ergothioneine has the function of improving the ovarian reserve function, and the obvious clinical value of the ergothioneine for people with the serum AMH level of 1.0-3.0 ng / mL in the key'window phase 'is defined for the first time. The ergothioneine not only can improve the serum AMH level and the sinus follicle count (AFC), but also can significantly reduce the abnormally increased FSH and LH levels. Meanwhile, aiming at bone loss caused by ovarian reserve function decline, the ergothioneine shows an excellent bone quality protection effect, the bone density can be improved, and the thickness and number of bone trabecula can be increased. In addition, the ergothioneine can improve climacteric symptoms, effectively maintain the nutritional state of target organs such as uterus, delay atrophy and regulate menstrual cycle disorder.

A system is provided.SOLUTION: This system is provided with a database managing means for receiving and storing inputted food material data, a recipe retrieving means for retrieving a recipe from a database based on the stored food material data, a recipe presenting means for transmitting the corresponding recipe to a user terminal and displaying it, a health information managing means for receiving and storing allergy information and nutrition state information inputted by a user, and a means for retrieving the recipe suited to the allergy and the nutrition state based on the health information. The system includes an alternative recipe suggestion means for presentation, a nutrition management means for analyzing the stored health information and evaluating and adjusting the nutrition balance, and a cooking time corresponding recipe suggestion means for receiving desired cooking time information input by a user, and retrieving and presenting a recipe which can be cooked in the corresponding cooking time.SELECTED DRAWING: Figure 1

A smartphone-based spectrophotometer in various embodiments, comprises: a housing comprising a front face, a rear face, a reflective surface, and a diffraction grating disposed in the interior of the housing; a cuvette holder configured to receive a cuvette holding a sample and couple the cuvette adjacent the front face; and a light source. In some embodiments, the front face defines a slit disposed adjacent the sample when the cuvette holder is coupled to the housing; the housing is configured to support a smartphone having a camera adjacent the rear face of the housing, with the camera facing the housing; the light source is configured to cause light to pass through the sample, through the slit, reflect off the mirror, diffract off the diffraction grating and into the camera to capture an image. In some embodiments, the image is analyzed to identify a nutrient content of the sample.

The application discloses a kind of coral island biological soil crust GZS001 that can promote the hydrological ecological characteristics of coral island calcareous sand, with good hydrological ecological effect, can significantly improve the ecological freshwater accumulation and circulation of coral island calcareous sand, provide stable water resources for the planting of higher vegetation, improve the nutritional status of calcareous sand, and lay a good material foundation for the ecological system repair and natural succession of coral island. At the same time, the application of this biological crust can reduce the impact on the environment, and can be widely used, with the advantages of simple operation, low cost, quick effect, easy popularization, etc.