48 results about "Motor ability" patented technology

The invention discloses a method and a system for evaluating movement of two lower limbs of a stroke patient, and relates to the technical field of movement function evaluation. The invention discloses a stroke patient double-lower-limb movement evaluation system which comprises a task guide module, a movement acquisition module, a movement scoring module, an interference evaluation module, a trend analysis module, a combination analysis module and a result output module. According to the method, the scoring model based on crowd category feature matching is constructed, exercise ability scoring is performed by adopting a machine learning algorithm or a fixed weighted combination, personalized evaluation is realized according to the group features of different patients, and the generalization ability and prediction accuracy of the scoring model are improved; group modeling is carried out by introducing features such as patient age, gender and motion level, and a scoring strategy is automatically switched according to the number of samples, so that the scoring mechanism also has reliability and clinical consistency in a family scene with limited data volume.

The invention provides an athletic ability evaluation method and system based on visual identification, relates to the field of machine vision, and solves the technical problem that an existing athletic ability evaluation method lacks refined analysis on key stages of actions, so that an evaluation result is inaccurate. The method comprises the following steps: reconstructing three-dimensional human body skeleton time sequence data through multi-view video acquisition and human body key point detection; automatically identifying motion starting and ending moments according to sports item specifications, and dividing the motion into a plurality of semantic units according to a preset rule; and in each unit, respectively calculating three scores of attitude trajectory shape similarity, rhythm matching degree and joint activity range compliance rate, fusing the three scores into a comprehensive similarity score, converting the comprehensive similarity score into a final score through a mapping rule, and outputting a structured score report. The method and the device are used in the athletic ability evaluation process.

The invention discloses a Parkinson's disease patient rehabilitation training method based on video gait analysis, relates to the technical field of image analysis, solves the problem of dependence on subjective evaluation in the prior art, and realizes objective quantitative analysis of a rehabilitation effect. An athletic ability index Xpzs, a gait stability index Yb and a lower limb rehabilitation progress coefficient Ws of a patient are calculated and evaluated to ensure that an evaluation result is more reliable and accurate; meanwhile, an established real-time data feedback mechanism is combined with historical data, the problem that rehabilitation effect monitoring is insufficient is solved, and through regular tracking and effect evaluation, a training scheme and a rehabilitation target are dynamically adjusted, and it is ensured that the rehabilitation progress of a patient is tracked in a whole cycle; besides, the method is high in technical adaptability, personalized analysis can be provided according to illness states and rehabilitation progresses of different patients, the training intensity and the rehabilitation target can be dynamically adjusted, the flexibility and adaptability of a rehabilitation scheme are improved, the method is particularly suitable for patient groups with different illness states, and the rehabilitation effect is improved.

The invention, which relates to the technical field of medical training, discloses a multi-sensory feedback fusion stroke rehabilitation exoskeleton robot training system comprising an exoskeleton robot main body, a multi-sensory feedback module, and a motion state monitoring module. By integrating a multi-sensory feedback module, a visual, auditory, tactile and motion state monitoring module and a central control module, multi-dimensional sensory stimulation and real-time data acquisition are realized when a patient is trained, and the central control module adapts parameters in the module according to the real-time motion precision of the patient and personalization. The strength and the type of multi-sensory feedback are dynamically adjusted, meanwhile, motion parameters of an exoskeleton robot body are controlled, a dynamic adjustment mechanism ensures pertinence and effectiveness of training, forward feedback is provided to strengthen a correct motion mode when the motion precision of a patient is high, and correction prompt is provided and assistance or resistance of the robot is adjusted when the motion deviation is large. Therefore, nerve function remodeling and motor ability recovery are effectively promoted.

The invention relates to a cognitive exercise rehabilitation training integration method based on multi-dimensional self-adaptive VR. The method comprises the following steps: presenting a three-dimensional rehabilitation scene through a head-mounted virtual reality device, synchronously collecting features of a patient, analyzing joint exercise data by using an exercise ability evaluation model, and generating exercise execution precision, fluency and stability indexes; electroencephalogram spectrum features are extracted through the cognitive load evaluation model, and a multi-dimensional rehabilitation feature vector is constructed in combination with task attention and cognitive resource allocation efficiency indexes output by the visual cognitive participation evaluation model; the training difficulty is dynamically adjusted based on the feature vectors, parameters are optimized in real time in the virtual scene, and the patient is made to be in the optimal challenge interval all the time; directional vibration stimulation is applied through the tactile feedback vest, three-dimensional sound field prompt is provided in cooperation with the spatial audio system, and a multi-sensory fusion closed-loop rehabilitation training system is formed. Cooperative training of cognition and movement functions is achieved, and individuation and adaptability of rehabilitation training are effectively improved.

The invention belongs to the field of pharmaceutical compositions, and relates to a composition for delaying muscle aging and application thereof. The composition comprises curcumin and milk-derived protein, and can help to delay the problems of muscle atrophy, muscle movement ability decline and the like caused by muscle aging. The composition has both functionality and nutrition, and shows a wide application prospect in the aspects of improving muscle functions and athletic ability.

To provide a cognitive motor function evaluation device capable of appropriately evaluating a human cognitive motor function by considering a human internal model (prediction error reduction model).SOLUTION: A cognitive motor function evaluation device 20 is provided with an ergometer 21, a monitor 22, and a control unit 23 having physical motor function evaluating means 54 and cognitive function evaluating means 55, and evaluates the cognitive function of a subject by the cognitive function evaluating means 55 after the evaluation of the physical motor function of the subject by the physical motor function evaluating means 54 exceeds a prescribed level. The physical motor function is evaluated based on the difference between a speed of a simulation vehicle by the operation of a pedal part 32 of the ergometer 21 and a target speed, and the cognitive function is evaluated based on the difference between a vehicle locus 41B by the operation of a handle part 33 of the ergometer 21 and a target locus 41A.SELECTED DRAWING: Figure 5

This invention belongs to the field of animal model technology, specifically disclosing a method for constructing a primary ciliary motor disorder hydrocephalus model, comprising the following steps: screening benzimidazole as a modeling agent; administering benzimidazole solution to experimental animals and setting up a blank control group; conducting experimental verification through pathological morphology and behavioral methods; if the experimental animals show significant ventricular enlargement and significant decrease in motor ability, the primary ciliary motor disorder hydrocephalus model is successfully constructed. This invention employs the above-mentioned novel method for constructing a primary ciliary motor disorder hydrocephalus model. The constructed hydrocephalus model exhibits good stability and repeatability, is objective and simple, and is highly operable, reducing other possible interfering factors. It provides a necessary experimental foundation for studying the mechanism of primary ciliary motor disorder hydrocephalus and developing treatment methods.

The present application relates to the field of mental fatigue model, and aims to solve the problems of long cycle and complex detection method in establishing mental fatigue model, and provides a method for constructing zebrafish mental fatigue model and application thereof.The method for constructing zebrafish mental fatigue model is as follows: 2-5 dpf zebrafish is given 100% white light and dark alternating stroboscopic cycle stimulation for 0-24 h; then cognitive response behavior analysis is carried out on the zebrafish.The present application constructs a zebrafish model of mental (brain) fatigue induced by white light stroboscopic stimulation, and explores a mental (brain) fatigue model induced by physical stimulation to simulate the environment and life and learning pressure in life.The present application also provides application of the zebrafish mental fatigue model constructed by the method, which is used for evaluating the anti-mental fatigue efficacy of drugs, health foods, foods or medical devices; and is used for mental (brain) fatigue cognitive test, memory test, learning test, reaction ability test and motor ability test of zebrafish.

The invention belongs to the technical field of animal models, and particularly discloses a method for constructing a primary ciliary dyskinesia hydrocephalus model, which comprises the following steps: screening benzimidazole as a molding agent; performing benzimidazole solution administration on the experimental animals, and setting a blank control group; carrying out experimental verification through pathological morphology and behavioral methods; the ventricle of the experimental animal is obviously enlarged, the athletic ability is obviously reduced, and if the condition is met, the primary ciliary dyskinesia hydrocephalus model is successfully constructed. According to the new method for constructing the primary ciliary dyskinesia hydrocephalus model, the constructed hydrocephalus model is good in stability and repeatability, objective, simple and high in operability, and other possible interference factors are reduced; and a necessary experimental basis is provided for research on the mechanism of hydrocephalus caused by primary ciliary dyskinesia and development of treatment means.

According to the invention, the cognitive ability or exercise ability of the user is effectively improved. The information processing system includes: a blocking unit that makes all or parts of a user's body invisible; a request unit that requests the user to perform a body action in which a part of the body of the user or an object operated by the user overlaps with a target object; and a control unit that controls the difficulty of the body movement in accordance with the movement of a joint part different from the body part on which the body movement is performed, in an environment in which the abnormal movement of the joint generated by the shielding unit and the requesting unit appears.

The invention discloses an intelligent control method of a multifunctional lower limb rehabilitation training device. The device is provided with a plurality of training mechanisms; the mechanisms are respectively provided with a high-precision servo motor which is electrically connected with an electric control box, and the training modes comprise a passive training mode, an active training mode and a power-assisted training mode. The AI model can intelligently select a training mode, a rehabilitation training function and training parameters at proper time; after training is started, the AI model collects motor data, patient force exerting data and a control instruction in good time, training parameters are dynamically adjusted in good time according to the training condition of the patient, the patient is helped to complete actions, and exercise ability reconstruction is promoted; and the AI model monitors the operation of the equipment in the whole process. The method is a full-automatic intelligent control method capable of carrying out self-adaptive adjustment. The dynamic adaptability can promote rehabilitation of the patient more efficiently, the rehabilitation efficiency can be improved by 20%-30%, the patient can be supported to be gradually transited from passive training to assisted training and active training as soon as possible, and the requirements of different rehabilitation stages are met.

The present invention discloses an evaluation method, device, system and storage medium for upper limb motor ability rehabilitation. The method includes: after the user to be evaluated completes a painting test game and a grip strength game using a rehabilitation ball, obtaining an initial painting image and a current painting image corresponding to the painting test game, as well as pressure information and game completion information corresponding to the grip strength game; determining the painting completion quality evaluation of the user to be evaluated based on the initial painting image and the current painting image, and determining the user muscle strength level of the user to be evaluated based on the pressure information and the game completion information, where the painting completion quality evaluation includes mean square error, peak signal-to-noise ratio and covariance; determining the upper limb motor ability rehabilitation evaluation information of the user to be evaluated based on the mean square error, peak signal-to-noise ratio, covariance and user muscle strength level, and the upper limb motor ability rehabilitation evaluation information includes muscle strength level and wrist joint damage condition. The present invention realizes the evaluation of comprehensive upper limb motor ability rehabilitation.

The application discloses a kind of cerebral apoplexy patient double lower limbs movement evaluation method and system, it is related to motor function evaluation technical field.A kind of cerebral apoplexy patient double lower limbs movement evaluation system, including have: task guide module, motion acquisition module, motion scoring module, interference evaluation module, trend analysis module, combination analysis module and result output module.The application is matched by constructing the scoring model based on population category characteristics, and motion ability score is carried out using machine learning algorithm or fixed weighting combination, and personalized evaluation is realized according to different patient population characteristics, to improve the generalization ability and prediction accuracy of scoring model;By introducing patient age, gender, movement grade and other characteristics for grouping modeling, and automatically switching scoring strategy according to sample quantity, the scoring mechanism also has reliability and clinical consistency in the limited data amount of home scene.

1. Name of the product in this design: Rotating Chair (Hippopotamus). 2. Purpose of this design: A toy for developing children's motor skills, combining the functions of a toy and a sports equipment. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

1. The name of the design product: toy (stone set for crossing the river and sensory board set). 2. The use of the design product: the design product is used for toys for exercising children's motor skills, which has the function of toys and the function of sports equipment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: reference drawing in use. 5. Other circumstances that need to be explained: set 1 is a stone for crossing the river, and set 2 is a sensory board.

The present invention relates to an electroencephalogram (EEG) adaptive classification method and application based on a dynamic joint domain adaptation network. The method first collects and preprocesses EEG signals before transmitting them to a host computer. After receiving the preprocessed EEG signals, the host computer extracts and classifies the signals based on a dynamic joint domain adaptation network (DJDAN) model, which includes a feature extractor, a classifier, a global domain discriminator, and a local domain discriminator. The host computer converts the movement intention labels output by the classifier into control signals required by rehabilitation equipment. The rehabilitation equipment generates feedback signals based on the patient's training movements and transmits them to the host computer, which records and evaluates the patient's training progress. The present invention can realize movement intention recognition based on EEG signals and is applied to intelligent rehabilitation training systems for stroke patients, improving rehabilitation effects and the patient's motor skills.

The invention provides a neonatal exercise ability assessment method based on physical sign characteristics and a storage medium, and relates to the field of exercise ability assessment, and the method comprises the specific steps: constructing a neonatal physical sign characteristic data set, calculating short-time and long-time increments of a neonatal physical sign time sequence, and generating physical sign regulation and control characteristics in combination with a weighted cooperative relationship of cross-physical sign channels. The method comprises the following steps: obtaining deep convolutional feature values through a one-dimensional time sequence convolutional neural network, performing second-order difference on the deep convolutional feature values of adjacent time steps, forming a local sign curvature in combination with a scale item, performing index regulation and control and normalization on the difference of the deep convolutional feature values, performing nonlinear mapping to obtain deep disturbance features, introducing a time inertial modulation mechanism, and performing time inertial modulation on the deep disturbance features. The method comprises the following steps: weighting deep disturbance characteristics, inputting the deep disturbance characteristics into a long-short term memory network to obtain an athletic ability time trend sequence, carrying out square enhancement, time dimension aggregation and nonlinear mapping, outputting a neonatal athletic ability evaluation value, depicting a physical sign dynamic evolution rule, and improving the stability and reliability of a model.

The leg and foot structure of the humanoid robot comprises a driving assembly and an ankle joint assembly, and the bottom of the ankle joint assembly is connected with a foot sole; wherein the driving assembly comprises two symmetrically-arranged driving motors, the axes of output shafts of the two driving motors are located on the same straight line, the ankle joint assembly comprises a first rope winding rotating shaft and a second rope winding rotating shaft, and a third rope winding rotating shaft is further arranged on the rotating supporting structural part; the third rope winding rotating shaft is located between the first rope winding rotating shaft and the second rope winding rotating shaft, and each output shaft is provided with at least two first ropes connected with the first rope winding rotating shaft or the second rope winding rotating shaft. Second ropes wound on the third rope winding rotating shaft are further arranged on the upper sides and the lower sides of the first rope winding rotating shaft and the second rope winding rotating shaft. The motion range and the motion precision of the ankle joint are effectively improved, and the motion ability of the humanoid robot is improved.

A method of generating a dynamic rating for an entity and rearranging icons associated with the entity on a graphical user interface (GUI) of a computer system. The method comprises: receiving a first set of data associated with one or more parameters of the entity; calculating a plurality of capability scores based on the first set of data; generating a first rating based on each capability score of the plurality of capability scores; dynamically adjusting the plurality of capability scores based on receiving a second set of data associated with the one or more parameters of the entity; updating the first rating based on the adjusted plurality of capability scores; the icons are automatically rearranged to a position above or below a current position of the icons on the GUI based on the updated first rating.

The invention discloses an intelligent robot based on a large language model, and relates to the field of large language models. The intelligent robot comprises the following steps: collecting a diversified English corpus, performing text clearness on the English corpus to remove irrelevant contents, making a data set, obtaining expression information by combining a camera module, obtaining voice information by an audio adapter plate, and forming a multi-modal training model; and the data set is imported into the training model for training and testing, so that the generalization ability of the model and the efficient and smooth voice interaction ability in various scenes are improved. And a main control and a coding motor are combined to provide motion ability, so that the robot adapts to dynamic changes in various actual scenes, an accurate and smooth human body tracking function is provided, and the interactive experience of the robot is greatly improved.

1. Name of the designed product: toy (sensory training product - foot pedal rotating disc). 2. Use of the designed product: mainly as a toy for exercising children's motor skills, sports equipment and "sensory training" products. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application provides a method for treating autism spectrum disorder (ASD) based on terahertz wave intervention and application thereof. The method comprises the following steps: dividing mice into four groups according to groups, each group having two types of mice; testing baseline behaviors of anxiety, motor ability and social ability of each group of mice; after a set time of completion of baseline behavior testing, using a THz-VNS device to intervene in each group of mice by THz-VNS; after the mice wake up, behavior testing is performed after a set time of completion of THz-VNS intervention; and statistically analyzing the behavior testing results to obtain the intervention results of THz-VNS intervention on ASD. By comparing the behavior testing results of wild type and ASD model mice before and after intervention, it is proved that the intervention method can improve the anxiety abnormality, motor dysfunction and social dysfunction of ASD model mice, which indicates that the intervention method can be used for the treatment of ASD. Meanwhile, the intervention method has a wide influence on the nervous system function, so the intervention is not limited to the treatment of ASD, but can also be extended to various nervous system diseases.

The invention discloses a coupling angle calculation method for quantifying and explaining joint coordination, and belongs to the technical field of lower limb rehabilitation. According to the coupling angle calculation method established by the invention, the dynamic interaction between different joints or segments can be captured, and detailed information about how the interaction affects the overall motion performance is provided, so that a reliable result can be provided when a complex motion mode is processed. The coupling angle calculation method provided by the invention can further promote the development of the biomechanical field, and provides a valuable tool for the application research of improving human health and athletic ability.

To effectively improve the user's athletic ability. [Solution] An information processing system is provided that includes a request unit that requests the user to perform a body movement that causes an object or part of the user's body that moves in conjunction with the user's movements to overlap with a target object, and an evaluation unit that calculates a disorientation evaluation value indicating the degree of swaying of the user's body during the body movement. By having the user use such an information processing system, it becomes possible to effectively improve the user's motor skills.

The invention discloses a normal form for a practical small-channel dry electrode brain-computer interface (BCI) and a decoding method of the normal form for the practical small-channel dry electrode BCI. According to the method, multiple excitation forms are introduced, so that the paradigm can induce coupling of electroencephalogram signals in multiple brain regions; according to the method, a Motor Preparation (MP) normal form is designed, instructions in a video are sent out in four modes of voice and character, pure voice, pure character and arrow, a subject focuses on the voice and character instructions broadcasted in the video, and various actions such as leftward and rightward natural turning and forward left foot and right foot moving are executed according to the instructions. The MP normal form can be used as a basis for designing a closed-loop BCI system, and external equipment such as an exoskeleton and a wheelchair can be controlled by decoding a motion preparation signal of a subject. The MP normal form and the corresponding decoding method can effectively assist the rehabilitation process of a dyskinesia patient or enhance the athletic ability of a healthy subject. The method has the characteristics of noninvasiveness, convenience, low cost and low delay, and is expected to be popularized to practical application and clinical rehabilitation scenes.

The invention discloses a method and a system for evaluating a frozen gait under a Parkinson's disease toe beat normal form based on a near infrared brain function imaging technology (fNIRS for short), and the method and the system are used for evaluating the frozen gait under the Parkinson's disease toe beat normal form. The invention provides a sitting toe beating movement normal form which gets rid of the influence of balance factors and can reflect the lower limb movement ability of healthy old people and patients with frozen gaits and non-frozen gaits of Parkinson's disease, and brain function data of different movement stages are collected and calculated by utilizing a near-infrared brain function imaging technology. The activation characteristics of the forehead cortex are reflected when the lower limbs of healthy old people and Parkinson patients move. And then the frozen gait prediction model is constructed by using the brain function data, so that the occurrence of the frozen gait of the Parkinson's disease patient can be effectively predicted, the severity of the frozen gait is accurately evaluated, and a brain function basis for early intervention is provided clinically.

The invention relates to the technical field of nutritional food, and particularly discloses a nutritional composition for improving fine exercise and application. The nutritional composition is prepared from the following components in parts by mass: 0.1 part of TGF (Transforming Growth Factor)-beta and 10 to 200 parts of structural triglyceride. By compounding a specific amount of TGF-beta and structural triglyceride, the average speed, average angular speed and total movement distance of zebra fish movement and the expression quantity of a BNDF gene and a TrkB receptor are improved, the synaptic plasticity, the connection efficiency of motor neurons and the signal transmission capacity are improved, and the fine movement capacity is improved by enhancing a neural circuit. The nutritional composition can be used for preparing food such as infant formula milk powder, child formula milk powder, liquid milk, infant complementary food, nutritional supplements or dietary supplements.

The invention relates to a closed-loop brain-computer interface rehabilitation training method and device, equipment and a storage medium. The method comprises the steps that the hand fine movement ability of a trainer is evaluated, and a training target strength interval value is set according to an evaluation result; the method comprises the following steps: collecting an electroencephalogram signal when a trainee grasps a hand in an actual motion / motion imagination, and collecting an electromyographic signal when the trainee grasps the hand through an electromyographic signal collection module; acquiring a motion intention strength value of the trainer as an actual strength value; the difference value between the actual force value and the training target force value is calculated, and a control instruction is generated according to the difference value to control rehabilitation training equipment; and providing tactile feedback force as large as the difference value for the trainer through rehabilitation training equipment, so that the trainer adjusts the motor imagery / actual grasping force and generates training actions for rehabilitation training. According to the method, the brain-computer interface technology and the 3D game are fused, so that the interactivity and interestingness of trainees are enhanced, and the training enthusiasm and initiative are improved.

1. The name of the design product: toy (sensory training product - mini running net frame). 2. The use of the design product: mainly as a toy for exercising children's motor skills, sports equipment and "sensory training" products. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.