250 results about "Training plan" patented technology

The invention discloses a hip and knee joint replacement postoperative rehabilitation method and system based on mobile medical treatment, relates to the technical field of medical rehabilitation, and discloses the hip and knee joint replacement postoperative rehabilitation method and system based on mobile medical treatment. The training plan is dynamically adjusted in combination with multi-dimensional indexes, the problems of compensation recognition deficiency, feedback lag and plan stiffness in a traditional rehabilitation scheme are effectively solved, the rehabilitation effect can be improved, and the injury risk of adjacent joints can be reduced.

The invention relates to a self-adaptive visual training method based on eye features, and belongs to the technical field of visual health and artificial intelligence. In order to solve the problems that traditional visual training equipment is heavy in structure, single in training mode and lack of personalized regulation and control and concentration state monitoring, the visual training equipment obtains eye images of a user in real time through an image acquisition module, adopts visual intelligent analysis, extracts double features of eye contours and pupil positions, calculates the visual concentration degree, and improves the visual training efficiency. And a concentration state is judged by combining a dynamic self-adaptive threshold value. When the concentration degree is insufficient, the control module triggers intervention mechanisms such as prompt or training pause and the like, and the remote interaction module uploads data to the cloud platform to generate a personalized training scheme. Intelligent and personalized regulation and control of the training process are achieved, the training effect and compliance are improved, the system is compact in structure and suitable for various scenes, and an efficient solution is provided for vision health.

The invention relates to the technical field of child cognitive function evaluation, and particularly discloses an intelligent child cognitive function evaluation method and device and a medium, and the method comprises the steps: collecting real-time behavior physiological coupling response data of a tested child under the stimulation of color and digital dual tasks through a multi-modal stimulation collection device, and obtaining a cognitive response chain dynamic model; according to the cognitive reaction chain dynamic model, performing performance quantification on the joint distribution of the reaction accuracy and the reaction time of the child under the stimulation of color and digital dual tasks to obtain a cognitive performance quantitative index; meanwhile, self-adaptive calibration of the individual cognitive baseline is carried out to obtain individual cognitive baseline data; and finally obtaining a personalized course recommendation matrix. The method not only is helpful for evaluating the current cognitive ability level of children, but also can provide reference for self-adaptive calibration of individual cognitive baselines. The method is crucial for recognizing cognitive deviation and formulating a personalized training plan. Adjustment can be carried out according to the specific cognitive requirements of children, and the effectiveness and pertinence of training can be improved.

The invention provides a remote rehabilitation system for a stroke patient, relates to the technical field of stroke rehabilitation, and aims to remotely diagnose the patient, periodically generate a personalized rehabilitation scheme for the patient, and timely adjust and update a training scheme according to the exercise effect of the patient. The system comprises a data acquisition terminal, a data transmission terminal, a control terminal, a doctor monitoring terminal and a patient terminal, a personalized rehabilitation training scheme generation algorithm is applied, multi-dimensional data is fused to form a comprehensive feature vector, and rehabilitation potential and requirements are evaluated. Personalized schemes covering exercise, cognition and psychological intervention are customized for the patient, dynamic adjustment is conducted according to feedback, and precise rehabilitation is achieved. The system has the functions of real-time monitoring, intelligent reminding and abnormity early warning, the rehabilitation effect is optimized, the medical burden is relieved, the life quality of patients is improved, and the system is suitable for medical institutions at all levels.

The invention discloses a new line training demand analysis method based on data driving, and relates to the technical field of computers. The method aims at solving the problems that training demand analysis depends on subjective experience, data islands are serious, response lags and quantitative prediction models are lacked in the prior art. The method comprises the steps of collecting and integrating multi-source heterogeneous data such as physical assets, human capital and process knowledge; constructing a time sequence dynamic association map representing the preparation state; predicting a future preparation state by using the space-time diagram neural network model; quantizing a personnel capability gap based on the prediction result and the operation baseline, and generating a capability gap matrix; performing priority ranking and clustering on the training requirements in combination with the key weight of the system to form a structured training theme; and dynamically generating a training plan, and updating the atlas in a closed-loop manner through training feedback data. Accurate prediction, quantitative evaluation and adaptive optimization of training requirements are realized, and scientificity and foresight of new line preparation are improved.

The invention relates to the technical field of medical training equipment, in particular to a critical care ultrasonic image training system, which comprises a clinical data acquisition module for acquiring critical clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the training scene construction module is used for constructing a high-fidelity three-dimensional training scene according to severe clinical case data, ultrasonic image materials and diagnosis and treatment process specifications; the virtual ultrasonic practical operation module simulates the operation of an ultrasonic probe based on a high-fidelity three-dimensional training scene, and generates an ultrasonic image corresponding to an anatomical part in real time; the intelligent skill assessment center assesses operation normalization and diagnosis accuracy through practical operation data and real-time generation of an ultrasonic image corresponding to an anatomical site in combination with an improved ResNet-LSTM model, and an assessment result is obtained; and the personalized teaching unit generates a customized training scheme and knowledge strengthening content according to the evaluation result in combination with the learning track of the student. Therefore, the problems of insufficient dynamic scene simulation, poor authenticity and the like in the prior art are solved.

The invention discloses a fitness equipment reservation method and system based on differential intelligent scheduling, and the method allows a user to submit an equipment identifier or an equipment identifier list, including a training plan of one or more times of training in a future period of time and a preliminary reservation time period; and after the server receives the reservation request, differentiated scheduling is executed according to the fact that the reservation time period is a golden time period or a non-golden time period, equipment slot positions are intelligently distributed to a batch of reservation requests in the golden time period in a timing or quantitative mode, and the user satisfaction degree is considered in the distribution process. The fitness waiting time of the user can be shortened, and the user satisfaction and the equipment utilization rate are improved; according to the intelligent scheduling algorithm provided by the invention, user requests are regarded as a whole, the algorithm efficiency is improved, and intelligent scheduling distribution of multiple users and multiple devices is realized.

The invention provides a method, a device and a system for providing a boxing education plan for children. In the method for providing a boxing education plan for a child, the method is executed by a device, and user information of a first student is received from a terminal of a first school supervision; confirming age information, height information, target information, health information, weakness information and exercise history information of the first student according to the user information of the first student; making a first training plan, namely a boxing training plan for the first participant according to the health information, the weakness information and the exercise history information of the first participant, the age information, the height information and the target information of the first participant; and providing a customized boxing education plan for the first participant, wherein the method comprises a step of sending a notification message for recommending the first training plan to a terminal of the first training center.

A system includes a processor that is configured to receive input information including a user's training goal and type of sport, generate a training plan based on the received information, capture and upload a training video of the user performing training according to the training plan, analyze the uploaded training video to identify errors in the user's movements and points for correction, and provide the identified correction points and specific methods for improvement to the user.

The invention relates to the technical field of medical rehabilitation, in particular to a post-stroke upper limb function recovery training system combined with a vr technology, which comprises a fixed base, and a motor is fixedly connected to the center of an inner cavity of the fixed base. The upper limb rehabilitation training device has the advantages that the angle adjusting and rotating functions are achieved, a personalized training plan can be made according to the specific conditions of a patient, and therefore upper limb rehabilitation training of the patient is more effectively promoted; through cooperative use of a fixed base, a motor, a fixed column, a supporting rod, a fixed sleeve, a rotating rod, an adjusting rod, an electric push rod, a lifting block, a seat and a sliding rod, the rotating and angle adjusting functions of the seat can be achieved, it is ensured that a patient can obtain the best comfort degree and experience feeling in the training process, the angle is flexibly adjusted through the seat, and the training efficiency is improved. A patient can experience a more real training scene in an immersive manner, and the brain is stimulated to generate strong neural feedback, so that the movement function recovery of the upper limbs is effectively promoted.

An apparatus comprises at least one processing device configured to determine interdependencies between a first and one or more additional applications developed by a given entity and mappings between the first and one or more additional applications and a training hierarchy comprising a plurality of trainings. The at least one processing device is also configured to identify a given user role of a given user responsible for development of the first application, and to generate, utilizing one or more machine learning models that take as input the given user role, the determined interdependencies and the determined mappings, a training plan for the given user specifying trainings to be completed by the given user. The at least one processing device is further configured to track a progress of the training plan by the given user, and to dynamically update a user profile of the given user based on the tracked progress.

The invention relates to the technical field of wearable intelligent equipment, and further relates to an exercise training plan generation method and system and wearable intelligent equipment. The method comprises the following steps: when a user is not in a motion state, determining a first maximum heart rate and a first maximum oxygen uptake of the user based on a support vector regression model and basic information of the user; when the user is in the motion state, photoelectric volume pulse wave signals generated by the user in the motion process are processed through a deep learning model, and a plurality of basic index sequences are obtained; determining a second maximum heart rate and a second maximum oxygen uptake of the user based on the plurality of basic index sequences, the basic information, the maximum heart rate and a maximum oxygen uptake prediction model; and generating an exercise training plan of the user based on the first maximum heart rate and the first maximum oxygen uptake, or generating an exercise training plan of the user based on the second maximum heart rate and the second maximum oxygen uptake. The method reduces the generation cost of the exercise training plan.

The invention discloses an intelligent ankle rehabilitation exercise management system based on multi-modal data fusion, which belongs to the field of medical assistance and comprises an acquisition processing module, a feature compensation module, an action extraction module, a structure modeling module, a judgment and detection module, an error correction guide module, a management scheduling module, a decision execution module and a report generation module. The motion state of each patient can be comprehensively reflected, fine-grained detection of abnormal actions is achieved, the patient is guided to correct the actions through multi-modal feedback, the secondary injury risk caused by wrong action accumulation is reduced, and the training effect and the controllability of rehabilitation progress are improved; the training plan can be continuously adjusted along with the rehabilitation progress of the patient, dynamic evolution is achieved, meanwhile, insufficient training or potential risks can be rapidly found, doctors and the patient are helped to clearly know the rehabilitation progress, the rehabilitation scheme is continuously optimized, and the training process is more efficient.

The invention relates to a safety monitoring method for rehabilitation training of an elderly weak patient. The safety monitoring method is used for automatically optimizing the rehabilitation training process of the elderly weak patient. According to the method, physical strength level, disease history and medicine use condition information of a patient are collected, physiological data of a rehabilitation person are monitored in real time in combination with various sensors, heart rate, blood oxygen, body temperature, myoelectric activity, fall detection, an accelerometer and a gyroscope, and a corresponding training scheme or adjustment suggestion is generated; the system outputs the physical health state of the rehabilitation person through the attention neural network; the body health state and the real-time data of the sensor serve as rule engine algorithm input, and then decision suggestions in rehabilitation training are made in real time; the method can reduce the health risk in training, and is especially suitable for personalized rehabilitation training of weak elderly patients.

The invention relates to a heart rehabilitation management method based on rehabilitation requirements. The method comprises the following steps: acquiring oxygen saturation time sequence data of a patient through wearable equipment, performing biological rhythm feature extraction on the data to construct a fluctuation model so as to capture a physiological cycle rule, and constructing a drug action factor based on a drug taking record to perform drug action calibration on original data so as to eliminate exogenous interference. Candidate time windows with consistent physiological statuses are screened through sliding window stability analysis; dynamic baseline calculation is performed on the candidate window based on long-term monitoring data to establish an individualized reference standard, when the dynamic baseline reaches the standard, the biological rhythm parameters and the drug action factors are fused to score and screen the time window, and finally, an individualized rehabilitation training scheme is generated in combination with physiological feature matching of a patient. Dynamic synergy of drug metabolism, physiological rhythm and historical baselines is achieved, the problem of physiological load imbalance caused by a static training plan is solved, and the rehabilitation efficiency is improved while the heart compensation risk is remarkably reduced.

The invention provides a training plan auxiliary generation method and device, electronic equipment and a storage medium, and the method comprises the steps: determining target training plan information according to at least one of all levels of annual training plan information, all levels of monthly training plan information, task on-duty plan information and training plan related information; wherein each stage of annual training plan information comprises at least one of a training subject, training time, a training evaluation standard, a training stage and training posts; the monthly training plan information at each level comprises monthly training plan information of at least one of a training subject, training time, a training evaluation standard, a training stage and training posts. According to the method, the target training plan information comprises at least one of all levels of annual training plan information, all levels of monthly training plan information, task on-duty plan information and training plan related information, deep integration is carried out on multi-dimensional data, the data utilization rate is improved, and therefore the accuracy of training plan generation is improved, and the management efficiency is improved.

This invention discloses a system for recording and analyzing the growth trajectory of a person's resume based on multi-source data fusion, relating to the field of enterprise talent training and development technology. It solves the technical problem that the lack of recording and analysis of post-training ability growth feedback during the planning of internal training routes leads to incomplete dynamic growth records of abilities. This invention obtains corresponding matching states by matching multi-source heterogeneous data with set training data, develops personalized training plans for employees based on these matching states, and rates users according to their matching states and promotion standards. This allows for precise matching of users' actual abilities with promotion standards and training states, achieving quantitative assessment of ability levels. It enables full recording and iterative analysis of user ability feedback, training process, and growth changes, forming a closed-loop mechanism of "assessment—growth—rematching—re-enhancement," significantly improving the completeness, continuity, and practicality of ability growth records.

A system is provided.SOLUTION: This system includes a means for collecting necessary information from the Internet, a means for generating a training plan on the basis of the collected information, a means for providing the generated training plan to a user terminal, a means for recording a progress situation input by a user and reporting it to a server, and a means for storing progress data received by the server.SELECTED DRAWING: Figure 1

The utility model discloses a lower limb strength training device, which relates to the technical field of rehabilitation equipment and comprises an elastic training ring arranged on a supporting structure, the supporting structure comprises a base, a height adjusting structure is fixed at the top of the base, an arc-shaped frame is fixed at the top of the height adjusting structure, elastic wide belts are fixed at the opposite ends of the two ends of the arc-shaped frame, and the elastic wide belts are arranged on the base. The two hooks are symmetrically fixed to the opposite ends of the two elastic wide bands, the elastic training ring is connected between the two hooks in a sleeved mode, the top of the elastic training ring is connected between the two hooks in a hung mode, and the elastic training ring is suspended in a tension mode, in the training process, the elastic training ring is not prone to falling and rotating and does not need to be held by two hands of a patient, and training limitation is few; the elastic training ring deforms to extrude the pressure sensor, the pressure sensor senses pressure and sends an electric signal to the counting host, and the counting host processes the electric signal and converts the electric signal into a numerical value for display, so that a patient can know own training data more visually, a scientific and reasonable training plan is made, and maximization of the training effect is ensured.

The application discloses a self-adjusting breathing training device, which comprises a gas control valve sleeve, the gas control valve sleeve comprises an inclined side wall, the gas control valve sleeve comprises a breathing interface and an atmosphere interface, a movable valve plug is arranged between the breathing interface and the atmosphere interface, and a gas path channel is formed between the edge of the movable valve plug and the inclined side wall. The application can accurately quantitatively control the size of impedance, so that the load of a patient in a training process is within a controllable range, the analysis and adjustment of a training plan of the patient are facilitated, the gas path channel can be adjusted and adapted according to the training intensity of the patient to obtain different impedance, the inspiratory muscle can be trained, and the expiratory muscle and the inspiratory muscle can be simultaneously trained in one breathing cycle.

The utility model discloses a pilates ring with an adjustable resistance value, and relates to the technical field of fitness equipment, the pilates ring comprises a ring body strip and a connecting assembly; the ring body strips are connected into an O-shaped ring structure through the connecting assemblies; the ring body strip is elastic and comprises a plurality of ring body single bodies, and each ring body single body is detachably connected with the connecting assembly; or at least one coiling single body is connected with the connecting assembly, and the other coiling single bodies are detachably arranged on the coiling single bodies connected with the connecting assembly. According to the pilates ring, the ring body strips are detachably installed on the connecting assemblies, the multiple ring strip single bodies are arranged, the resistance value of the pilates ring is adjustable, the training resistance value of the pilates ring can be changed on one ring body by increasing or decreasing the number of the ring strip single bodies in the using process, and training of various resistance values is achieved; and the user can flexibly adjust and change the training plan according to the actual situation of the user. On the premise that the resistance values of the single coiling bodies are the same, the more the coiling bodies are, the larger the resistance values of the coiling bodies are.

The application discloses a kind of teacher teaching ability promotion training method and system, its method includes: determining multiple evaluation dimensions of teacher teaching ability, obtaining the quantitative evaluation index of each evaluation dimension, obtain multiple high-quality training course resources according to quantitative evaluation index;The historical teaching state parameter of each teacher is input and the teaching ability of each teacher is evaluated;According to the evaluation result, the teaching short board index and short board state description of each teacher are analyzed and the ability promotion demand parameter is determined;According to the ability promotion demand parameter, the target training course resource is filtered from multiple high-quality training course resources, and the training plan is formulated based on the learning ability information of each teacher, and the teaching ability promotion training is carried out according to the training plan for each teacher.It can accurately aim at different teaching level teachers for accurate short board related ability training, which improves the efficiency and stability of training, and also guarantees the adaptability of training resources, improves the practicability.

The invention relates to the technical field of rehabilitation physiological monitoring, and discloses a nerve-muscle recovery detection method based on HRV recovery rate and sEMG frequency spectrum declination, and the method comprises the steps: firstly obtaining an effective RR interval sequence subjected to quality gating and a steady state sEMG segment of a specific muscle group; then, extracting systemic HRV recovery features and local muscle fatigue features in parallel, and respectively generating a normalized HRV recovery rate score and a myoelectricity recovery score; through multi-level fusion, a global nerve recovery score, a local muscle recovery score array and a comprehensive nerve-muscle recovery score are integrated; and finally, based on the multi-dimensional evaluation results, generating personalized training suggestions. Therefore, the nerve-muscle system preparation degree of an individual can be comprehensively and accurately reflected, and a scientific basis is provided for optimizing a training plan and preventing sport injuries.

We provide the system. [Solution] A means for generating an individual training plan using a trainer generated based on a virtualized character selected by the user, A means of analyzing the user's exercise in real time and providing immediate feedback according to the training performance, A means of recording training results and managing rewards based on points awarded to users, A means of providing community features to share results among users and promote competition, A system that includes this.

The utility model discloses a lower limb support training weight quantification alarm device, which comprises a bottom plate, a lifting device, a bearing plate, a plurality of pressure sensors, an operation device and an alarm, and is characterized in that the lifting device comprises a lifting assembly, and the lifting assembly is slidably arranged at the top of the bottom plate; the bearing plate is fixedly connected with the top of the lifting assembly. The plurality of pressure sensors are uniformly distributed at the top of the bearing plate and are used for monitoring the weight of the lower limb support in real time; the operation device comprises a supporting rod and an operation panel. Therefore, through cooperation of the pressure sensor and the single-chip microcomputer, the lower limb supporting weight can be accurately measured and displayed, a trainer can make a scientific training plan conveniently, a rehabilitation patient is helped to conduct accurate training, rehabilitation is accelerated, the lifting device is adjustable in height, suitable for people of different heights and high in universality, and when the training weight exceeds a set value, the alarm can give out a sound-light alarm. Users are prevented from being injured due to overweight, and safety is guaranteed.

An object of a system according to an embodiment is to provide an optimal training plan according to a fitness level, a constraint, and a goal of a user.SOLUTION: A system according to an embodiment includes a user information collection unit, a training plan generation unit, a data analysis unit, and a correction proposal unit. The user information collector collects the user's fitness level, constraints and goals. The training plan generation unit generates a training plan based on the information collected by the user information collection unit. The data analysis unit analyzes user data and sensor data during training in real time. The correction proposal unit corrects the training plan based on the data analyzed by the data analysis unit.SELECTED DRAWING: Figure 1

This invention discloses a federated incremental learning method based on feature prototypes: A federated server formulates a task plan and selects participants for federated incremental learning according to task requirements; the federated server sends the task plan and global feature prototypes to the selected participants; each participant receives the training plan and global feature prototypes from the federated server, performs incremental learning using local data, and generates local feature prototypes for each category; each participant uploads their local feature prototypes to the federated server; the federated server generates a server-side global feature prototype through prototype aggregation; this is a single iteration of the federated incremental learning process. The federated server iteratively updates the global feature prototype by repeatedly executing the above process. This invention solves the model heterogeneity problem in federated incremental learning by sharing feature prototypes, reducing communication overhead, improving learning efficiency, and strengthening privacy protection for participants.

A system is provided.SOLUTION: A system, comprising: means for a user to input health information; means for obtaining activity data of the user from a wearable device; means for analyzing the health information and the activity data of the user to generate a personalized training plan and diet plan; means for providing the generated training plan and diet plan to a terminal of the user; and means for predicting and graphically presenting a change in health condition of the user.SELECTED DRAWING: Figure 1

The embodiment of the invention provides an online activity management method and device, and the method comprises the steps: constructing an activity full-link association data table which is used for linking all activity information; receiving application information of a user, performing logic detection on the application information according to a preset dependency syntax, determining corresponding real application information, and generating a corresponding user portrait label based on the real application information by adopting a three-dimensional attenuation factor and an integrated behavior prediction model; performing user group division on the user portrait label according to a clustering algorithm, determining a corresponding training plan, obtaining multi-dimensional learning behavior data of the user according to a computer vision technology, determining a comprehensive training score, receiving a final examination score of the user, and storing the comprehensive training score and the examination score into an activity full-link association data table; and based on the activity full-link association data table, performing one-key screening on the examination qualified personnel to generate the examination certificate. According to the invention, the efficiency and accuracy of activity full-process management can be improved.

The invention discloses a method for improving an industrial safety education training effect based on an AI large model. The method comprises the following steps: analyzing, vectorizing and storing latest industrial safety related documents to obtain a safety knowledge base; the related documents comprise industrial standard specifications, laws and regulations and enterprise specifications related to industrial safety; the knowledge base comprises a plurality of sub knowledge bases with different themes and different types; matching an associated target sub-knowledge base from the safety knowledge base based on the training plan, so as to generate an employee training task based on the target sub-knowledge base; based on the training task, utilizing an AI large model to generate a training problem in the training process, and using the training problem for employee training to obtain a training result of the employee; and based on the training result, using an AI large model to generate test questions corresponding to different employees, and examining the employees based on the test questions to obtain an examination result. The training effect of employee safety education can be improved, and potential safety hazards are reduced.