12 results about "Health behavior" patented technology

The invention relates to a self-adaptive excitation method for maintaining healthy behaviors. The method comprises the following steps: acquiring environmental data in a target area and physical signs and behavior data of a person; extracting behavior characteristics of the person according to the physiological indexes and the behavior data; constructing a short-term dynamic behavior and a long-term trend behavior according to the behavior characteristics; fusing the short-term dynamic behavior and the long-term trend behavior by using a cross attention mechanism and a gating fusion formula; establishing a health behavior thinking map; generating personalized incentive content; matching the character features with the excitation content through a multi-dimensional depth similarity algorithm, and generating excitation feedback in a text, voice or video form; and iteratively updating the excitation triggering condition and the content generation strategy according to the character behavior corresponding data. Through the technical scheme of the invention, not only can the probability of behavior change be improved, but also the interpretability of the excitation method can be effectively improved.

The invention relates to the technical field of oral health, and discloses an old people oral health behavior monitoring method and system based on multi-source data fusion. The method comprises the following steps: acquiring multi-modal data of a plurality of old people in a historical time period, preliminarily identifying oral cavity states of the old people based on oral cavity image data, and obtaining health indexes; adjusting the health index based on different age ranges, and if the adjusted health index is smaller than a first threshold value, performing time-space alignment association on the multi-modal data; judging whether the modal data in the historical time period has missing modals or not, performing fusion processing on the same modal data in the historical time period based on a judgment result to obtain preliminary fusion vectors, and fusing the preliminary fusion vectors of different modals to obtain a comprehensive feature vector; and establishing an evaluation model to analyze the comprehensive feature vector, and outputting the risk probability and the disease type of the oral disease of the elderly user in the future. According to the invention, the risk prediction precision of oral health of old people is improved.

The invention relates to a pig breeding management system and method based on the Internet of Things, and relates to the technical field of Internet of Things breeding management, and the system comprises a healthy sample collection module which is used for collecting Internet of Things sample monitoring information of healthy pig ingestion; the rhythm feature construction module is used for extracting double-level features and constructing rhythm features; the health behavior baseline establishing module is used for establishing a dynamic health behavior baseline of the target pig; the real-time feature acquisition module is used for acquiring real-time monitoring information of the Internet of Things and acquiring real-time double-layer features and real-time rhythm features; and the abnormity identification response module is used for identifying ingestion abnormity and executing breeding management response according to a result. The problems that in traditional live pig breeding management, the ingestion state of pigs depends on manual observation, early health abnormalities are difficult to capture in time, a dynamic health benchmark is lacked, abnormal early warning lags, management efficiency is low, and breeding benefits are affected are solved.

The invention belongs to the technical field of artificial intelligence, and relates to a data analysis method and device, computer equipment and a storage medium. Performing preliminary verification on the health behavior data based on a zero-knowledge proof verification strategy; if the health behavior data pass the preliminary verification, performing secondary verification on the health behavior data based on a watermark verification strategy; if the health behavior data pass the secondary verification, performing watermark removal on the health behavior data to obtain target health behavior data; performing exercise behavior analysis on the target health behavior data to obtain an exercise score; performing dietary behavior analysis on the target health behavior data to obtain nutrition standard data; calculating the exercise score and the nutrition standard data to obtain a health score; and performing decision processing on the health score, the historical compliance rate of the user and the group compensation rate based on the underwriting model to generate an underwriting result. The method can be applied to underwriting processing scenes in the fields of financial science and technology and medical health insurance, and the accuracy of data verification and underwriting analysis is effectively improved.

The invention provides an information recommendation method and system based on artificial intelligence, and belongs to the technical field of information recommendation. Comprising the steps of 1, constructing a first data set; 2, constructing a second data set; step 3, based on the first data set, constructing a health knowledge preference coefficient of the ith old person; 4, constructing a health behavior adaptation coefficient and a participation depth coefficient of the ith old person based on the second data set; and step 5, associating the ith old people health knowledge preference coefficient with the ith old people health behavior adaptation coefficient and the participation depth coefficient, constructing a comprehensive health participation index, and performing evaluation and optimization. Through data analysis in which online health knowledge and offline medical lectures are combined, the health behavior tendency of the elderly user can be evaluated more accurately, and the optimized recommendation can help the user to obtain appropriate health knowledge.

The invention relates to the technical field of health big data, discloses a medical health behavior data collection system and method, and effectively solves the problems of scale uncertainty and volume calculation errors of an existing monocular vision technology in the field of non-contact food weighing. According to the method, an industrial standard catering container is introduced as a physical scale reference, accurate inversion of a camera pose is realized by using a projective geometric invariant principle, an absolute physical depth can be obtained without a depth sensor, further, a limited variational energy functional is constructed, the inner wall of the container is defined as an insurmountable geometric lower bound, and the depth of the container can be accurately determined. According to the method, the material distribution in a visual blind area is successfully deduced by combining a gravitational deposition law and a particle friction law, high-precision reconstruction from a plane image to a space entity is realized, and finally, non-material gaps in loose accumulation are accurately eliminated through a porosity correction mechanism based on texture features, so that the porosity of the material is improved. And accurate mapping from the geometric volume to the physical mass is realized.

The invention relates to the technical field of artificial intelligence, and discloses a health management method and device based on artificial intelligence, equipment and a storage medium, and the method comprises the steps: obtaining a multi-modal comprehensive state vector, a multi-dimensional psychological portrait and a context state vector of a user in an interaction process, the multi-modal comprehensive state vector, the multi-dimensional psychological portrait and the context of the current health task form an interaction state; according to the context state vector, matching an excitation action suitable for the user under the current health task; calculating a reward generated by adopting an incentive action for the user in the interaction state; through a reinforcement learning algorithm, generating a target incentive action for the user according to the interaction state, the incentive action and reward learning; and exciting the user to perform a health behavior based on the target excitation action. The method can be applied to individual health management scenes in the field of medical science and technology, and the long-term effect of individual health management can be remarkably improved.

The invention discloses a preparation method of specific yolk immunoglobulin (IgY) for resisting gliadin. The preparation method comprises the following steps: immunizing and inoculating experimental laying hens, monitoring health behaviors, collecting eggs, and separating, extracting and purifying the IgY. The IgY prepared on the basis of the method can serve as a food base material to be added into low-gluten food (such as whole wheat bread and noodles), and the allergy risk caused by intake of a small amount of gluten is reduced through specific binding of the IgY and gliadin; patients are allowed to properly ingest gluten-containing food, diet diversity is improved, nutrient imbalance is avoided, and the life quality of the patients is improved. As the IgY has good thermal stability, the IgY purified by the method can still tolerate mild heating (such as baking and cooking) in food processing, and can be widely applied to various forms of products such as baked food, meal replacement powder, liquid beverage and the like; meanwhile, the acid-base stability of the antibody can ensure that the antibody keeps activity in a stomach environment after oral administration and finally reaches the intestinal tract to play a role, and the limitation that the conventional antibody is easy to digest and degrade after oral administration is broken through.

A health impact assessment method and system applied to urban planning schemes, the assessment method comprising the steps of: (1) based on the spatial data and attribute data of the present situation and the urban planning scheme; (2) calculating the PM2.5 change (Delta Air) and the physical activity change (Delta PA) of the present situation and the urban planning scheme scenario relative to the present situation; (3) calculating the disease incidence / death number change (H) caused by the urban planning scheme; (4) whether the planning scheme optimization is needed is judged by the evaluation personnel according to the output of step 3. The system comprises an index calculation module, a PM2.5 / physical activity change calculation module, a health result calculation module, a planning scheme optimization module and the like. Based on the evaluation path of "built environment-health risk / health behavior-health result", a complete quantitative health impact assessment method is constructed, which can face the urban planning scheme, calculate the health result change of the urban planning scheme relative to the present situation, and support the planning decision and the urban planning scheme optimization.

The application discloses a personalized health behavior incentive system and method based on blood pressure feedback, multi-dimensional data is collected through a PPG+ECG dual-mode sensor, an XGBoost model is combined to establish a behavior-blood pressure correlation mechanism, personalized incentive and model adaptive updating are realized, user health management compliance and blood pressure control effect are effectively improved, and an intelligent solution is provided for health management of a chronic disease population such as hypertension.

The invention discloses a health behavior monitoring system and method based on somatosensory interaction, and relates to the related field of somatosensory interaction, and the system comprises a starting module which is used for carrying out identity authentication after a user carries out starting interaction, and executing equipment starting after the identity authentication is passed; the task generation module is used for calling user data and configuring a reach task; the somatosensory interaction module is used for activating a tracking unit in the somatosensory interaction module to execute user authentication positioning and then carrying out reach monitoring on the user; the action decomposition module is used for performing action division on the reach monitoring data set through the calibration template and establishing action labels; and the health sensing module is used for initially configuring a health sensing channel based on the user portrait, performing multi-dimensional behavior health sensing according to the reach monitoring data set and the action label, and establishing a behavior health sensing result. The technical problem that existing health behavior monitoring is insufficient in action monitoring accuracy and health perception comprehensiveness is solved, and the technical effect that the health behavior monitoring result is more accurate and comprehensive is achieved.

The invention discloses a medical resource recommendation method and device, equipment and a medium, and the method comprises the steps: carrying out the fusion analysis of wearable equipment information and health behavior information of a user, obtaining the health state of the user, carrying out the health demand analysis of historical diagnosis and treatment information of the user, obtaining the health demand of the user, comparing the health demand with the health state, and obtaining a recommendation result. The method comprises the steps of obtaining unsatisfied health requirements, determining health risks of a user, matching wearable equipment information, health behavior information and historical diagnosis and treatment information of the user with existing users, determining associated users, matching the health risks with resource attributes of known medical resources, and obtaining candidate medical resources; and obtaining an intersection of the candidate medical resource and the matched medical resource of the associated user to obtain a target medical resource, and recommending the target medical resource to the user. The medical resource recommendation method and device can be applied to an intelligent inquiry scene in the field of medical health, personalized medical resource recommendation for the user is achieved, the accuracy of medical resource recommendation is improved, and the medical experience of the user is improved.