27 results about "Habilitation training" patented technology

The invention discloses an elderly cognitive function adaptive training method and system based on multi-modal interaction feedback, and relates to the technical field of smart medical treatment. The method comprises the steps that basic information of a user is collected for initial cognitive ability evaluation, a user cognitive portrait is constructed according to an evaluation result, and an initial training task with the corresponding difficulty is allocated; collecting multi-modal interaction data in real time according to the initial training task; carrying out fusion analysis on the multi-modal interaction data by utilizing a machine learning model to obtain a quantized real-time state index; based on the real-time state index and the performance data of the current task, dynamically adjusting a subsequent training task through an adaptive decision rule engine; all-dimensional data of each training task is recorded, a visual cognitive competence development trend report is generated through longitudinal comparative analysis, and a machine learning model and a self-adaptive decision rule engine are continuously optimized and trained by utilizing accumulated user data to form an optimized training closed loop. The cognitive function training effect of the old people can be improved.

The invention relates to the technical field of intelligent education, in particular to an AI-based nursing teaching scene construction and evaluation system. According to the system, a dynamic case script is generated through historical case data, and a virtual patient physiological model is constructed; creating three teaching scenes of community follow-up visit, emergency rescue and traditional Chinese medicine nursing fusion by using a mixed reality technology; a personalized learning portrait of the student is constructed through a pre-test, and accurate matching between the ability of the student and the teaching content is formed; a double-track system skill training module is built, and AI tutor guidance and teacher guidance are integrated; and an ability evaluation system based on operation data is established, and intelligent pushing of adaptive training content is realized. The problems that in traditional nursing teaching, scene authenticity is insufficient, personalized training is insufficient, and clinical thinking is difficult to cultivate are solved, and the clinical operation skill and decision judgment ability of students are improved.

The utility model discloses a pre-adaptation training instrument and a pre-adaptation training device, and relates to the technical field of medical instruments, the pre-adaptation training instrument comprises a training instrument body, a camera and a control assembly, the camera is fixedly connected to the training instrument body, and the training instrument body and the camera are both in signal connection with the control assembly. The training instrument body is provided with an armband air pipe connector communicated with an armband air pipe, the training instrument body can inflate or deflate the armband air pipe under the control of the control assembly, the camera can shoot a face image of a user, and the control assembly can store the face image shot by the camera. The control assembly can also compare the face image shot by the camera with the face image stored in the control assembly, and can judge whether to give the user the authority to control the training instrument body or not according to the recognition result of the face recognition module. The pre-adaptation training instrument is simpler in operation and faster in user switching speed.

The invention relates to the technical field of practical training system construction, and discloses an immersive virtual nursing practical training system construction method based on a meta-universe platform, and the method comprises the steps: carrying out the layered construction of a scene, and building an environment layer, an interaction layer and a data layer on the meta-universe platform; generating a dynamic learning guiding system, constructing a knowledge graph case library and a virtual tutor, and realizing adaptive training path planning; virtual-real fusion operation training is carried out, and accurate mapping of a virtual instruction and an entity model is realized by using an AR technology; and performing multi-dimensional skill evaluation, collecting user operation data, and constructing an evaluation model for scoring. Compared with a traditional practical training mode, the operation proficiency of trainees is improved, and the coping capacity of complex situations is improved.

1. Name of the product in this design: Pre-adaptation training device (BB-RIC-Q5). 2. Purpose of this design: for ischemic preconditioning training and blood pressure measurement. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a volleyball player intelligent training optimization system based on big data, and relates to the technical field of physical training and big data analysis, the system comprises a data perception and fusion module used for collecting and fusing multi-dimensional physiological and motion data, and constructing unified state characterization; the multi-target adaptive decision module is used for generating a personalized training strategy considering technical improvement, fatigue control and injury prevention through a multi-target optimization algorithm; and the team co-evolution module is used for mining complementarity of players by using a graph neural network and an evolution algorithm and optimizing a team pairing and rotation strategy. Exercise data are collected in real time through the wearable device and the camera, a personal training plan is dynamically adjusted through reinforcement learning, self-adaptive training is achieved, and the injury risk is reduced; meanwhile, the length is analyzed according to the performance of the players, the pairing of the players is intelligently optimized, the overall strength and training efficiency of a team are improved, and the comprehensiveness and individuation of training evaluation and decision making and the scientization of team collaboration are achieved.

1. Name of the designed product: Preconditioning training instrument (BB-RIC-Q8). 2. Use of the designed product: For ischemic preconditioning training and measuring blood pressure. 3. Design points of the designed product: In shape. 4. Picture or photo best indicating the design points: Perspective view.

An adaptive sports analytics system for personalized running training and performance monitoring, wherein the system (100) comprises: a module (1) for capturing the runner profile and baseline values, configured to capture runner information, training history, targets, injury history, availability, access to equipment, and baseline values ​​from functional tests; a module (2) for generating adaptive training plans, configured to create a personalized running and functional training plan based on the runner information and baseline values ​​from functional tests; a module (3) for functional training content and progress, configured to store and provide training records, including exercises for core stability, balance, flexibility, mobility, strength, and power;a module (4) for performance monitoring using wearables and sensors, configured to receive running performance and compliance data from at least one wearable, mobile device, sensor, treadmill, or manual input interface; a fatigue, recovery, and injury risk analysis engine (5) designed to analyze signals related to training load, recovery, pain, compliance, and performance to generate an adjustment recommendation or risk indicator; a functional outcome and progress analysis module (6) designed to store baseline and follow-up assessment values ​​and generate progress reports; and a user interface, coach dashboard, and feedback management module (7) designed to display personalized training sessions, exercise guidance, progress reports, alerts, and updated training recommendations.

1. The name of the design product: dual-arm pre-conditioning training instrument (AX-002). 2. The use of the design product: for measuring blood pressure and intermittent ischemic preconditioning training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a neck rehabilitation training action guiding and evaluating method and system based on visual feedback, and belongs to the technical field of crossing of computer vision and rehabilitation medical treatment. According to the method, a face image is collected through a front camera of intelligent equipment, head and neck key points are extracted based on a multi-scale convolutional neural network, and a three-dimensional posture is estimated; a virtual guide path is adaptively generated and dynamic tracking is performed, a multi-dimensional quality evaluation model is established to quantitatively analyze the joint motion range, the speed smoothness and the compensation action, real-time feedback is provided according to an evaluation result, the training difficulty is dynamically adjusted, a closed-loop optimization mechanism is formed, and a detailed rehabilitation training report is generated. Accurate neck rehabilitation training can be achieved only through common intelligent equipment, the exercise quality quantitative evaluation and compensatory action automatic detection capabilities are achieved, personalized self-adaptive training is achieved through closed-loop feedback, and an effective solution is provided for remote rehabilitation.

1. The name of the design product: pre-adaptation training instrument. 2. The use of the design product: mainly used for preventing cardiovascular and cerebrovascular diseases, enhancing human tolerance to ischemia and hypoxia through physical training. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective drawing.

1. The name of the design product: pre-adaptation training instrument. 2. The use of the design product: for measuring blood pressure and ischemic pre-adaptation training. 3. The design points of the design product: in the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The invention relates to the technical field of biomedical experiments, in particular to a method for improving animal tolerance and the modeling rate of a cerebral apoplexy model through pre-adaptation training, and the method specifically comprises the steps that before a cerebral apoplexy model preparation operation is carried out, a combined type pre-adaptation training scheme is carried out on an experimental animal, comprising stimulation of three different physiological pathways of ischemia pre-adaptation training, exercise pre-adaptation training and environment enrichment pre-adaptation training, the total training period is continuous 3-7 days, and after the whole period is finished, the cerebral apoplexy model is prepared after a resting period; a specific method for ischemia pre-adaptation training comprises the steps that a non-invasive air bag cuff is adopted to wind the single-side or double-side thigh of an experimental animal; by integrating ischemia, movement and environment pre-adaptation training, a multi-mode collaborative intervention scheme is constructed, a multi-level endogenous protection mechanism in an animal body is systematically activated, and the success rate and consistency of cerebral apoplexy model preparation are remarkably improved.

The invention discloses a multi-dimensional speech adaptive training method and system. The method comprises the following steps: collecting historical training data and training time intervals of a user, and judging whether vowel training is started or not; acquiring real-time training data of a user, and sequentially performing loudness judgment, pitch exercise judgment and vowel space area standard judgment; and respectively calculating corresponding vowel space area target adjustment coefficients according to the age and gender classification of the user, and entering different training formulating modes based on the size comparison of the second target and the first target to generate a personalized vowel exercise plan. Through dynamic acquisition and quantitative analysis of multi-dimensional voice parameters, self-adaptive adjustment of training content and difficulty is realized, manual fine adjustment is supported, the problems of parameter solidification, insufficient personalization and weak feedback mechanism in an existing voice training system are effectively solved, and the pertinence, adaptability and rehabilitation effect of training are improved.

The invention relates to the technical field of patient training equipment, in particular to a rehabilitation robot self-adaptive training control method, device and equipment and a medium. The rehabilitation robot self-adaptive training control method comprises the steps that in the walking training process of a patient, the relative distance between the patient and a rehabilitation robot is obtained; based on the relative distance between the patient and the rehabilitation robot, the target wheel speed of the driving wheel is obtained; and controlling the driving wheel to rotate according to the target wheel speed, so that the relative distance between the patient and the central origin returns to a set value. According to the technical scheme, the rehabilitation robot is cooperatively controlled in a self-adaptive mode, the rehabilitation robot is changed into a cooperative partner from a dominator, just enough assistance can be provided according to the real-time position of the patient, and therefore the good tracking effect is achieved.

The invention discloses a transformer substation virtual practical training platform control method fusing role driving and mode switching, and the method comprises the steps: carrying out the role recognition through user login information, and generating a role permission set, so as to limit a function range, an operation level and a training target; calling a unified simulation interface to load a practical training mode configuration file according to the role permission set, constructing a mode set, and setting an entry condition and a risk level for each mode; selecting a mode conforming to the authority in the set and executing switching, generating a practical training scene instance, and binding the practical training scene instance with a merging unit, a measurement and control device and a communication gateway model in the virtualized component library to form an interaction scene with a role identifier; user operation and equipment running states are collected in the interaction scene, and state feedback data including operation correctness judgment, fault warning based on risk levels and path prompting are generated; and checking the training process according to the feedback, generating a result, and updating a role permission set according to the result, thereby forming a self-adaptive training path and permission control.

The invention discloses an efficient and collaborative physical training management system, and relates to the field of data processing systems. The efficient and collaborative physical training management system comprises the steps that multi-modal original data are synchronously collected through various sensors and monitoring equipment; preprocessing and fusing the collected data to generate a consistent fused data packet; generating and distributing an atomization training task based on the instruction of the coach, the team analysis input and the medical evaluation information; dynamically adjusting a training plan by using a deep reinforcement learning optimization model; and continuously monitoring key indexes and automatically triggering an intervention process. The system comprises a multi-source heterogeneous data acquisition and fusion module, a training task collaborative scheduling and distribution module, an adaptive training plan dynamic optimization engine and an active abnormal state monitoring and intervention module. According to the technical scheme, full-dimension training state evaluation, efficient and lossless information transmission and collaboration, personalized and optimized training plans and early recognition and active intervention of exercise risks can be achieved.

The invention relates to the technical field of biomedical engineering and intelligent rehabilitation, in particular to an old people balance training system integrating cardiopulmonary monitoring and anti-falling functions. The system comprises a multi-modal data acquisition unit, a physiological load evaluation unit, a neuromuscular fatigue evaluation unit, a dynamic stability evaluation unit, a coupling risk fusion prediction unit and an adaptive training regulation unit. The system synchronously collects physiological, biomechanical and electromyographic signals of a user; the core of the method is to respectively calculate cardiopulmonary reserve consumption, track a myoelectricity median frequency descending trend and evaluate a dynamic stability boundary, and establish a fusion safety model based on machine learning to generate a prospective comprehensive risk index; the system dynamically regulates the training difficulty according to the index; according to the method, the defect of dependence on apparent indexes is overcome, compensation behaviors of the user can be penetrated, and the real internal physical state of the user can be accurately obtained.

The utility model relates to the technical field of pre-adaptation training instruments, in particular to an ischemia pre-adaptation training instrument for medical care, which comprises a shell, a pressing plate is fixedly mounted on the surface of the shell, a protection frame is fixedly mounted in the pressing plate, and a display screen is fixedly mounted on the lower surface of the protection frame. According to the ischemic preconditioning training instrument, the shell, the inflator pump, the mounting plate, the gas storage bottle and the fixing rod are arranged, the gas storage bottle and the mounting plate are mounted through the fixing rod, a gas storage device is additionally arranged in the ischemic preconditioning training instrument, the portability, treatment safety and continuity of the instrument are improved, gas can be efficiently stored, and the treatment effect is improved. Training is carried out without depending on an external air source, the situation that the training effect is affected due to the fact that the air source is unstable is avoided, more personalized training experience is provided for patients, air pressure and flow can be adjusted according to the requirements of different patients, and therefore a customized treatment scheme is achieved, and maximization of the treatment effect is ensured.

1. Name of the designed product: Pre-adaptation training instrument. 2. Use of the designed product: for body pre-adaptation training. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The application relates to the technical field of safety practical training base management, and discloses a safety practical training method and system based on a digital cloud platform, which comprises the following steps: constructing a cognitive digital twin body which is synchronous with offline equipment; a cognitive confrontation engine generates virtual disturbance according to a cognitive path atlas, injects the twin body to deduce state changes and maps back to offline equipment, and records the operation sequence of students at the same time; the sequence is converted into individual cognitive paths and aggregated to the cognitive path atlas; the atlas is analyzed to identify group behavior patterns, and the results are used to drive the engine to generate new disturbance, forming a self-adaptive training closed loop; the system comprises offline practical training equipment, a central processing device and a terminal management device. Through self-adaptive training and deep quantitative analysis, the application overcomes the defects of traditional training staticity and shallow evaluation, can significantly improve the cognitive and decision-making ability of students under complex abnormal conditions, and enhances the pertinence and depth of training.

1. The name of the design product: pre-adaptation training instrument. 2. The use of the design product: data adjustment training for measuring blood pressure. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

1. Name of the product in this design: Pre-adaptation training device (BB-RIC-Q2). 2. Purpose of this design: for ischemic preconditioning training and blood pressure measurement. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a post-stroke patient swallowing function evaluation and training instrument based on biofeedback, and belongs to the technical field of medical rehabilitation equipment. The device comprises a signal acquisition module, a signal processing module, a data analysis module, a feedback output module and a power management module. A 64-channel flexible electrode array is used for collecting electromyographic signals, a 9-axis inertial measurement unit is used for tracking six-degree-of-freedom movement of the throat, a double-channel microphone is used for collecting acoustic signals, and a double-channel pressure sensor is used for detecting pressure of tongue bones and thyroid cartilages. The electromyographic signals are reconstructed into a three-dimensional space-time thermodynamic diagram through radial basis function interpolation, and four modal data are fused through a deep learning model to achieve automatic swallowing phase recognition and anomaly detection. And visual, auditory and tactile three-channel real-time biological feedback training is provided. According to the invention, multi-dimensional accurate evaluation, multi-modal real-time feedback and intelligent adaptive training are realized, and the evaluation accuracy of the swallowing function and the rehabilitation training effect are improved.

The invention relates to the field of physiological signal processing, in particular to a collaborative rehabilitation training system for osteoporosis and heart failure patients, which comprises a multi-modal monitoring module, a collaborative perception fusion module, a self-adaptive training decision module, an individualized training execution module and a rehabilitation feedback module. A space-time sensing algorithm with multi-scale Kalman filtering and weighted feature fusion is adopted, a dual-channel local feature enhancement mechanism is introduced, combined modeling and adaptive weight updating of a heart channel and a skeleton channel are achieved, and heart load parameters and skeleton stress parameters are sensed synchronously; through the adaptive training decision module, a heart-bone collaborative adaptive algorithm is designed based on comprehensive rehabilitation state indexes, and a double-channel dynamic optimization model for reinforcement learning is introduced, so that action strategy adaptive fusion and weight adjustment of heart and bone channels are realized, and the safety and curative effect of rehabilitation training are improved.

The invention provides a back stretching auxiliary instrument, relates to the technical field of training equipment, and aims to solve the problems that training personnel are difficult to adapt to the training intensity, fatigue is easily generated in a short time, the training is not lasting, and the training effect cannot be achieved due to the fact that a double-arm stretching balance weight mode is generally adopted for pure training of back muscles. Comprising a base; a cuboid-shaped supporting base block is fixedly installed on the rear portion of the middle of the top plane of the base in a vertically-upward mode. A distribution box is placed on the base on the rear side of the supporting base block; and a vertical backrest box is oppositely inserted into the upper end of the supporting base block. The shoulders of a trainee can be clamped between the shoulder rests, the neck of the trainee penetrates upwards from the middle, and the head of the trainee is put on the headrest, so that the upper body of the trainee is in a semi-limited state, training postures can be corrected, and training attention is improved.