23 results about "Dietary intake" patented technology

The invention relates to a diabetes exercise rehabilitation and diet collaborative management method, device and equipment and a medium. The method comprises the following steps: acquiring individual feature data, physiological data and daily behavior data of a diabetic patient, and constructing a personalized portrait of a user; generating an exercise plan and a diet plan according to a set period based on the personalized portrait of the user; in response to the obtained real-time user data, dynamically correcting the exercise plan and the diet plan to obtain an exercise and diet collaborative plan; the real-time user data comprises blood glucose data, diet intake data and exercise data; the exercise and diet collaborative plan comprises exercise items arranged based on time points and diet arrangement; generating a corresponding push instruction according to the time point; the pushing instruction is used for indicating to push corresponding exercise items or diet arrangements to the terminal of the diabetic patient. By adopting the method, the problem of inadaptation caused by a rigid fixed plan can be avoided by an exercise-diet collaborative intervention mechanism, and the management response capability of external variable change is improved.

The invention relates to a body fat management system, which comprises a nutrition scale, an APP and a body fat scale, the nutrition scale can calculate total calorie intake according to diet intake data and feed back the total calorie intake to the APP, the APP can collect user information and feed back the user information to the body fat scale, and the body fat scale can collect human body components and feed back the human body components to the APP in combination with the user information fed back by the APP. The APP can dynamically update a calorie intake target of each day according to the human body composition feedback information of the body fat scale and the calorie total intake feedback information of the nutrition scale and give a target intake early warning of each meal, and dynamic closed-loop management between diet intake and body metabolism feedback is realized through multi-source data acquisition, interaction and analysis, so that the management efficiency is improved. The invention further relates to a body fat management method applying the body fat management system.

The present application belongs to the technical field of health management, and specifically relates to a weight prediction system based on multi-modal food data. The weight prediction system comprises a unified dietary feature learning module based on CLIP, a time series prediction model, and a dietary-weight loss calculation module. The present application explores the influence of dietary intake on weight prediction, and predicts the future weight change trend by using the weight change in a short period and the dietary record. The present application firstly extracts the unified features of historical food data through the dietary feature learning module, and then splices the features and the historical weight change sequence to serve as the input of the time series prediction model; the dietary feature learning module and the time series prediction model are trained through dietary-weight loss to establish the connection between dietary intake and weight change. The present application system is high in accuracy and strong in adaptability for weight prediction, and can be applied in the fields of health and medical treatment to conduct personalized health management.

The present application relates to the technical field of nutritional supplement food, more specifically, to a double-protein balanced type of old-age nutritional supplement food and a preparation method thereof. The food comprises calcium, magnesium, zinc, iron, vitamin C, vitamin B6, vitamin E, vitamin B2, sodium selenite, nicotinamide, vitamin D3, vitamin A, vitamin B12, folic acid, vitamin B1 and vitamin K2. The present application is targeted at physiological characteristics and metabolic rules of middle-aged and old people, and scientifically proportioned various vitamins, minerals, essential fatty acids and antioxidant substances required by human body, so as to fully meet daily nutritional requirements of the middle-aged and old people and make up for insufficient dietary intake caused by decreased digestive and absorptive functions.

The present application relates to the field of nutritional balance evaluation, and discloses an ICU stroke patient nutritional balance real-time evaluation and optimization method based on artificial intelligence, comprising the following steps: collecting patient activity energy consumption through a wearable device, combining dietary intake and metabolic indicators to construct an individualized nutritional metabolism model, calculating nutritional balance degree in real time and generating a quantitative deviation index.Combining the quantitative deviation index and the target of the rehabilitation stage, a nutrition optimization scheme is generated through a reinforcement learning algorithm, the scheme is executed and trained, and the model parameters of the individualized nutritional metabolism model are automatically iterated to achieve the purpose of continuous optimization.The present application overcomes the pain points of traditional nutritional evaluation of ICU stroke patients, such as lag and dependence on experience-based decision-making, and realizes precise matching of nutritional supply and rehabilitation demand through the form of artificial intelligence, thereby shortening the stay time of ICU stroke patients in the ICU.

[Problem] In dietary intake standards stipulated in various countries, such as the "Japanese Dietary Intake Standards," different nutritional intake standards are established based on age, gender, and physical activity level. Therefore, in order to provide meals that meet dietary intake standards for multiple users with different attributes in the case of company meals, it was necessary to finely adjust the nutritional components of the meals by category, in addition to adjusting the quantity of the meals. [Solution] The present invention proposes a complete nutritional meal and a system for providing the same, which eliminates the need for adjusting nutrients according to each category of age, gender, and physical activity level, and enables the consumption of a complete nutritional meal that meets dietary intake standards solely by adjusting the quantity (calories) of the food. Accordingly, users receiving the meals can consume the complete nutritional meal without burden, are freed from the hassle of nutritional management, and promote health without conscious effort.

This invention discloses a method for dynamic regulation of pancreatic enzymes based on dietary intake, comprising the following steps: S1: collecting patient data through an input module; S2: calculating an individualized pancreatic enzyme dose based on the data collected by the input module through an algorithm module; S3: outputting the pancreatic enzyme dose and dietary recommendations based on the calculation results through an output module; S4: adjusting parameters through a closed-loop feedback module. The pancreatic enzyme dose is dynamically calculated based on the patient's fat intake and digestive capacity at each meal to achieve a precise match between "how much fat is consumed and how much enzyme is given."

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

The invention relates to the technical field of medical apparatus and instruments, and discloses a multi-sense type weight reduction wrist device which comprises a wearing unit and a measuring unit. The wearing unit comprises a mounting ring, four fan-shaped blocks are arranged on the mounting ring, and a cylindrical control box is arranged in the middle of the fan-shaped blocks; the measuring unit comprises an installation groove formed in the fan-shaped block, a fixing plate is fixedly installed on the inner side wall of the installation groove, and two pressure sensors of different specifications are fixedly installed on the fixing plate. According to the multi-sensing type weight reduction wrist device, the four fan-shaped blocks are arranged to be matched with the multiple sensors, the accuracy of weighing data can be improved, a reliable basis is provided for health management, the device can be worn on the wrist through the wrist strap, the device can be conveniently carried on the wrist in a long-term outdoor scene, and the device is not limited by inconvenient carrying of a traditional device; the pressure sensors with different measuring ranges can be switched by pushing the operation block, the weight can be measured, the daily diet intake can also be monitored, and the equipment applicability, the measurement precision and the reliability are improved.

The present disclosure relates to the field of image recognition and artificial intelligence technology, and provides a method, device and equipment for intelligent monitoring and reminder of patient dietary behavior, the method comprising: collecting patient dietary image data containing calibrated tableware, and preprocessing the dietary image data; extracting at least three types of local invariant feature descriptors from the preprocessed dietary image data; normalizing the extracted various feature descriptors and performing feature fusion to generate a fused feature vector; inputting the fused feature vector into a pre-trained deep neural network model for feature classification, and outputting a food category label; calculating the patient's dietary intake based on the dietary image data, the food category label and the size of the calibrated tableware; and performing intelligent personalized reminders based on the food category label, the patient's case data and the patient's dietary intake, thereby solving the problems of insufficient accuracy, high computational complexity and weak personalized services in the current process of dietary behavior recognition and intervention for cancer patients.

The invention provides a digital nutrition service pushing method and system based on a diabetic patient, and the method comprises the steps: firstly obtaining the real-time monitoring log data, containing blood glucose level data, insulin injection records and diet intake information, of the diabetic patient, inputting the real-time monitoring log data into a pre-trained nutrition analysis model, and carrying out the multi-dimensional processing; the method comprises the following steps: generating a dynamic nutrition demand characteristic representing a nutrient element demand change trend in a preset time period, matching the dynamic nutrition demand characteristic with service entries in a digital nutrition database, determining a candidate nutrition service set and sorting, and performing spatial correlation analysis on a real-time geographic position of a patient and a position of a service provider to obtain a real-time geographic position of the patient. According to the method and the system, a reachable target nutrition service subset is screened out, finally, the reachable target nutrition service subset is sent to a patient terminal device according to a pushing strategy, service selection feedback is received to trigger a service execution instruction, and personalized and reachable digital nutrition service accurate pushing is realized.

The application discloses a kind of based on diet inflammation index gestational diabetes mellitus blood sugar management method, comprising the following steps: S1: input pregnant woman information;Obtain the personalized information of pregnant woman, including: gestational age, pre-pregnancy / current weight, blood sugar risk level, dietary intake frequency, food intake, diet inflammation index initial score;S2: calculate diet inflammation index;Calculate nutrient intake, standardization processing, inflammation weight calculation, calculation;S3: predict blood sugar risk through blood sugar risk prediction module, output risk level;S4: generate diet program, three meals structure, food combination and heat distribution through individualized diet intervention module;S5: monitor blood sugar, adjust menu according to blood sugar change.Can combine carbohydrate and inflammation, establish diet inflammation blood sugar management new mode, realize accurate management.

The invention discloses a seasoning bag suitable for being eaten in four seasons and a preparation method thereof, and belongs to the technical field of seasonings, and the seasoning bag comprises the following raw materials in parts by weight: 8-12 parts of radix polygonati officinalis, 5-8 parts of folium cortex eucommiae, 10-15 parts of Chinese wolfberry fruits, 10-15 parts of poria cocos, 10-15 parts of Chinese yams, 3-6 parts of honey-fried licorice roots and 8-12 parts of lotus seeds. The components of the seasoning bag act together, the nutritional value and the taste of soup can be effectively improved, the key point of the four-season health-preserving seasoning bag is that according to four-season changes, the traditional Chinese medicine health-preserving theory is combined, various natural traditional Chinese medicinal materials are selected, and through reasonable compatibility and a preparation method, the seasoning bag has a good health-preserving effect in the meat stewing and soup stewing process. According to the present invention, the health-preserving and health-care effects can be provided, the health-preserving and health-care effects can be provided according to the body requirements in different seasons, and the health-preserving and health-care effects can be achieved by entering the human body through the diet intake to regulate the qi-blood, the yin-yang balance, the spleen-stomach function and the immunity of the human body.

The application relates to a diet intake monitoring method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a dining scene image set of a current collection round, determining at least one target collection orientation corresponding to the current collection round according to the dining scene image set, the target collection orientation is used for positioning a region where a main detection object is located, determining at least one target detection object according to a target positioning point corresponding to each target collection orientation, the target positioning point is used for positioning a sub-detection object, obtaining a diet collection array corresponding to the current collection round according to diet recognition information corresponding to each target detection object, the diet recognition information comprises food categories and residual information corresponding to each food category, and obtaining diet intake monitoring information based on the diet collection array corresponding to each collection round in a preset dining time range. The method can automatically position each detection object for diet intake analysis, and the diet intake monitoring efficiency is improved.

The invention provides a special diet for correcting micronutrient deficiency of old people, which relates to the technical field of food and comprises protein, fat, carbohydrate, compound vitamins, compound minerals and food additives. The energy supply ratio of protein is 20-50%, the energy supply ratio of carbohydrate is 40-60%, and the energy supply ratio of fat is lt; 10%; every 100kJ of diet contains more than or equal to 100mg of the compound vitamins, more than or equal to 150mg of the compound minerals and more than or equal to 200mg of the food additives. The special diet suitable for the old people is provided on the basis of the dietary nutrition status survey result of the old people and referring to the reference intake of dietary nutrients for Chinese residents (2013 edition), the special diet contains rich nutritional ingredients, can meet the requirements of the old people for nutrients, and is reasonable in content of all the components and suitable for being eaten by the old people. The food is suitable for correcting the micronutrient malnutrition condition of old people.

The invention discloses a weight loss postoperative diet nutrition intake evaluation system based on a neural network, relates to the technical field of medical health management, and aims to solve the problem that dynamic monitoring and optimization of patient diet management are difficult to realize in the prior art. The system comprises a data acquisition module, a data preprocessing module, a neural network model module, a nutrition evaluation module, a diet suggestion generation module and a user interaction module. The data acquisition module is used for acquiring basic information data, physiological index data and diet type and intake information data of a patient; the data processing module is used for cleaning the collected data and removing abnormal values, and then converting diet types and intake information into nutrition intake data; the neural network model module is used for constructing a neural network and forming a training set by collecting historical patient postoperative data. The method has the advantage that the diet management of the patient is dynamically monitored and optimized.

The present disclosure relates to a system and method to predict the post- prandial glucose response in the individuals type 2 diabetes mellitus (T2DM) in India by taking sample of patients with T2DM from various locations across India and fitting them with continuous glucose monitors (CGM) and calculating the postprandial glucose response based on the different meal intakes by the patients. The present disclosure further relates to the utilization of k-means clustering models to classify food types based on nutritional information and classification of patients. The present disclosure also relates to utilizing XGBoost to predict postprandial blood glucose responses based on patient phenotypes and food categories and providing personalized recommendations taking into account meal type, preferences, and regional influences which would allow patients with T2DM to eat and drink foods to maintain their blood sugar within prescribed limits and prevent disease progression.

The application discloses a medicinal diet composition, a medicinal diet for weight management, and a preparation method and application thereof. The medicinal diet composition comprises the following raw materials in parts by weight: 50-150 parts of alisma, 100-300 parts of raw hawthorn, 50-150 parts of perilla leaf, 30-90 parts of amomum villosum, 50-150 parts of dried tangerine or orange peel, 10-60 parts of cassia bark, 10-60 parts of green tea, and 20-100 parts of konjac. The medicinal diet composition is prepared by matching the traditional Chinese medicine with food, regulating the visceral function through the traditional Chinese medicine, improving the metabolic capacity of the body, and then reducing the dietary intake heat through the food (konjac and green tea), so that the digestion and decomposition of fat are promoted, and the good weight management effect is achieved.

The invention provides a prediction method of a dietary intake marker spectrum and application thereof. Specifically, the invention provides a dietary intake biomarker spectrum identification method, which comprises the following steps: (s1) intervention experiment data are provided, the intervention experiment adopts a cross design, and the method comprises the following steps: n rounds of intervention experiments are carried out on a to-be-detected object, n is greater than or equal to 3, and the intervention experiments comprise one round of contrast intervention experiment and (n-1) rounds of to-be-detected dietary intervention experiments; collecting a to-be-tested sample in each round of intervention experiment; and (s2) screening markers: performing metabonomics analysis on the to-be-detected sample to obtain metabolites in the to-be-detected sample, and obtaining the biomarker of the diet to be detected according to the metabolite. According to the method disclosed by the invention, the biomarker spectrum of the dietary intake to be detected can be more efficiently identified.

An object of the system according to the embodiment is to comprehensively grasp a learning situation and a lifestyle of a student and individually cope with the learning situation and the lifestyle.SOLUTION: A system according to an embodiment includes a concentration degree measuring unit, a weak item specifying unit, and a lifestyle habit improving unit. The concentration degree measurer may measure a concentration degree of the student during the class by using a biometric recognition technique. A weak item specification unit analyzes the training data of the students using the generated AI, and specifies a weak item of each student. The life style improvement unit uses the generated AI to create a database of the amount of exercise and the dietary intake state of the student, and supports improvement of the life style.SELECTED DRAWING: Figure 1

The invention provides an in-vivo water-soluble vitamin dynamic monitoring method based on multi-modal biosensing, and relates to the multi-modal technical field, and the in-vivo water-soluble vitamin dynamic monitoring method comprises the following steps: collecting in-vivo signals through a wearable sensing terminal, processing the in-vivo signals, transmitting the processed in-vivo signals to a user terminal, establishing an individualized mapping relation, combining dietary intake information and urine load test data, and determining the in-vivo water-soluble vitamin dynamic monitoring result. According to the method, calibration and analysis of vitamin concentration time sequence data are achieved, a comprehensive nutrition state evaluation result is generated, the problems that traditional vitamin detection is discontinuous and low in precision are solved, and real-time, accurate and dynamic monitoring of in-vivo water-soluble vitamins is achieved.

The invention belongs to the technical field of biological medicines and medicinal preparations, and provides application of starch-based soluble dietary fibers in preparation of medicines for treating ulcerative colitis. The starch-based soluble dietary fiber provided by the invention is administered in a feed addition mode, the dosage range is 2.0%-3.0% of the total amount of feed, 2.5% of the middle dosage is optimal in colon length protection (6.52 cm) and immune regulation (the spleen index is 3.77 mg / g), and the risk of excessive immune activation caused by the high dosage (5%) is avoided. The administration mode lasts for 36 days once a day, a natural dietary intake scene is simulated, experiments prove that the traditional Chinese medicine composition can remarkably improve pathological characteristics such as DSS-induced colon shortening, weight loss and spleen hypertrophy, effective intervention on chronic colitis is realized through multi-target regulation, and the traditional Chinese medicine composition is suitable for clinical application. And a scientific, safe and easy-to-implement medicine application scheme is provided for dietary therapy of ulcerative colitis.