88 results about "Cognitive training" patented technology

The invention relates to the field of virtual reality, in particular to an adaptive virtual reality cognitive training method and system. The method comprises the steps of obtaining a user individual information set and a real-time multi-modal physiological data stream, performing real environment three-dimensional reconstruction and relative and friend face modeling based on the user individual information set, and generating an individual virtual training scene; based on the real-time multi-modal physiological data flow and the individualized virtual training scene, nerve-behavior feature extraction and digital twinning dynamic modeling are carried out, and a user cognitive state evaluation information set is generated; based on the user cognitive state evaluation information set, training task parameter real-time optimization and virtual scene element dynamic adjustment are carried out through an adaptive strategy, and a cognitive enhancement intervention instruction set is generated; and based on the cognitive enhancement intervention instruction set, performing neural regulation intervention and training data closed-loop feedback, and generating and outputting an individualized cognitive training report. According to the method and the device, accurate self-adaptive intervention is realized in a virtual reality cognitive training process.

The invention discloses an fNIRS adaptive feedback emotion cognition cooperative training device and method, and relates to the technical field of emotion disorder cognition training. The device comprises a data acquisition module used for acquiring an original dual-wavelength light intensity signal from a brain; the data processing module is used for performing multi-stage preprocessing on the original dual-wavelength light intensity signal; the neural feedback module is used for calculating a multi-dimensional evaluation index according to the hemoglobin concentration data and adjusting a difficulty level and a feedback threshold value of a training task by using a dynamic threshold value control algorithm; the training module is used for training participants based on the emotion stimulation task and the cognitive training task; and the evaluation module is used for performing training evaluation according to the comparison result of the comprehensive performance score and the feedback threshold. Brain function equipment is closely combined with cognitive training and emotion stimulation tasks, dynamic evaluation and real-time feedback are added for traditional tasks, and through the brain network analysis technology, accurate evaluation of the user training effect is achieved.

The invention relates to the technical field of medical health and artificial intelligence, in particular to a system and method for improving the cognitive function of old people based on emotion voice perception training. Comprises: a voice stimulation presentation module for controlling playing of target voice stimulation and masking voice; the training program control module is used for controlling and adjusting the voice stimulation presentation module; the reaction collection module collects the reaction of the patient and outputs the reaction to the feedback and enhancement module; the feedback and strengthening module is used for providing training feedback according to the input of the reaction acquisition module; the data processing and evaluation module is used for processing the input of the feedback and enhancement module; and the user interface and visualization module is used for providing operation and result display for patients and researchers. According to the method, emotional voice perception training and voice recognition training in a noise environment are combined for the first time, a comprehensive cognitive intervention mode based on acoustic signal processing and emotional rhythm recognition is established, and the limitation that a traditional cognitive training visual channel is poor in dependence and migration effect is broken through.

The invention relates to the technical field of data processing, and discloses a dynamic cognitive training method and system based on a large language model and multi-dimensional evaluation, which combines multi-dimensional input data such as standardized cognitive evaluation, demographic statistics, historical behaviors and real-time performance to construct a user cognitive portrait. The dynamic prompting engineering module and the content generation process of the large language model are integrated, so that the training content, the prompting mode, the interaction style and the like can deeply meet the individual differences and specific requirements of users, the fine-grained and deep personalized training process is provided, and through the dynamic prompting engineering module, the user experience is improved. According to the method, the fine cognitive state change of the user in each interaction and task can be captured in real time, the change is immediately converted into accurate control over large language model behaviors, training content and difficulty which are accurately matched with the current level of the user are generated, highly-dynamic and real-time adaptive cognitive training can be achieved, and the user experience is improved. The problems that a traditional cognitive training system is lagged in adjustment and insufficient in roughness are solved.

The invention relates to the technical field of artificial intelligence education, and discloses a personalized English grammar learning system based on artificial intelligence. Comprising a multi-modal data acquisition module, a deep user portrait construction module, a dynamic association knowledge graph module, a multi-modal intelligent diagnosis module, a meta-cognitive guide type learning path planning module, a personalized content generation module, an emotional real-time feedback module, a meta-cognitive training module, a social cooperation module and a closed-loop optimization module. The multi-modal data acquisition module is used for acquiring multi-dimensional and multi-modal data of a learner, and covering related data such as basic information. According to the personalized English grammar learning system and method based on artificial intelligence, by setting a multi-modal data acquisition module and a deep user portrait construction module, basic information, cognitive features, meta-cognitive levels and emotional preferences of learners are captured in all directions; and constructing a dynamically updated deep user portrait by means of a multi-dimensional data fusion algorithm and a time sequence analysis algorithm.

1. Name of the design product: cognitive training record board (visual feedback type). 2. Use of the design product: the design product is used for the record board of children's cognitive training. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The application discloses a kind of cognitive promotion method and system based on multi-modal data.The cognitive promotion method includes: obtaining the first multi-modal data before treatment of patient;Amyloid load grouping is carried out to patient based on the amyloid load in the brain of patient, to obtain the initial cognitive training scheme corresponding;Cognitive training is carried out based on initial cognitive training scheme during the treatment of patient, and the second multi-modal data during treatment is collected;Based on multi-modal data before and after treatment of patient, in combination with brain network group atlas, obtain the multi-modal change data of patient;The multi-modal change data of patient is input into preset model, to output the cognitive promotion scheme that cognitive index of patient is most improved, to push to patient and carry out cognitive training.The method will be integrated by A beta-PET data, functional nuclear magnetic resonance imaging data and event-related potential data, real-time evaluation of the neuroplasticity change of patient, to dynamically generate personalized cognitive promotion scheme.

The invention discloses a brain machine training system and method based on electroencephalogram attention assessment, and the system comprises an electroencephalogram data collection module which is used for collecting the electroencephalogram data and behavior data of a target user during the training period in real time, meanwhile, electroencephalogram data of the attention concentration state and the relaxation state of the target user within the preset duration are collected to serve as individual baseline data; the electroencephalogram data real-time processing module is used for analyzing the electroencephalogram data, and based on the analyzed electroencephalogram data and the individual baseline data, a standardized electroencephalogram attention score and neural processing efficiency are obtained through calculation; the data analysis and result visualization module is used for generating a behavior characteristic analysis report and an electroencephalogram attention analysis report of the target user; and the AI-based attention evaluation and suggestion module is used for generating an attention evaluation report according to a predefined report specification. And the practicability and the intelligent level of the brain-computer interface in cognitive training are improved.

The application discloses a kind of fusion training method and system for multiple cognitive abilities.The fusion training method includes: obtaining the cognitive evaluation result of user for attention, inhibition and memory;Based on the cognitive evaluation result, obtain the first training parameter related to attention and inhibition;Based on the first training parameter, obtain the second training parameter related to memory;Based on the first training parameter and the second training parameter, configure the cognitive training task of corresponding difficulty level and training duration for user;Push the cognitive training task to user for cognitive training, for simultaneously training the attention, inhibition and memory of user;Obtain the cognitive training data of user, and feedback the current cognitive training result to user.The fusion training method can integrate multidimensional cognitive ability training into one, break the common single cognitive ability training form, and help to improve and transfer the comprehensive ability of user.

The application discloses a kind of fNIRS adaptive feedback emotion cognitive collaborative training device and method, it is related to emotional disorder cognitive training technical field.The device includes: data acquisition module, for obtaining original double-wavelength light intensity signal from brain;Data processing module, for the original double-wavelength light intensity signal is carried out multistage pretreatment;Neural feedback module, for calculating multidimensional evaluation index according to hemoglobin concentration data, and using dynamic threshold control algorithm adjusts the difficulty level and feedback threshold of training task;Training module, for training participant based on emotional stimulation task and cognitive training task;Evaluation module, for training evaluation according to comprehensive performance score and feedback threshold comparison result.The present application closely combines brain function equipment with cognitive training and emotional stimulation task, adds dynamic evaluation and real-time feedback to traditional task, and realizes the precise evaluation of user training effect by brain network analysis technology.

This invention relates to the field of cognitive health companionship technology, specifically to a multimodal companionship system for patients with cognitive impairment based on AI technology. The invention receives memory materials from a family member's terminal, constructs an interactive virtual scene, configures guiding questions, records the patient's answers to all guiding questions, sets the initial difficulty level of cognitive training based on an assessed memory recall integrity score, and collects performance data after the patient completes cognitive training tasks to determine if the initial difficulty level needs adjustment. This achieves precise matching of cognitive training difficulty to the patient's current cognitive level. Simultaneously, based on the performance data of cognitive training tasks within a subsequently set training period, a cognitive ability report is generated and compared with historical cognitive ability reports in multiple dimensions to assess the patient's cognitive ability improvement. This reflects the dynamic changes and improvement trajectory of the patient's cognitive ability, effectively improving the targeting and effectiveness of cognitive training.

This invention discloses a sensory-cognitive progressive VR psychological counseling and relaxation system for the elderly, comprising a sensory activation experience module and a cognitive training and adjustment module. The sensory activation module, through guided virtual scenes and interactive tasks, enables elderly users to achieve emotional relief and attention recovery through low-intensity operation. The cognitive training module, through physiological monitoring devices, acquires real-time data such as heart rate and eye movement, dynamically adjusts task difficulty, and guides users in active cognitive training such as breathing regulation and attention allocation. The system allows users to select modules according to their own condition, achieving a comprehensive goal of emotional optimization, cognitive maintenance, and improved self-efficacy through age-appropriate interaction. This invention, by constructing a progressive adjustment path of "sensory activation - cognitive training," achieves progressive psychological counseling from emotional arousal to cognitive intervention.

The utility model discloses a card device for cognitive ability training, and relates to the technical field of cognitive ability training devices, the card device comprises a plurality of cards, the surfaces of the cards are printed with different patterns for cognitive training, each card comprises a card body and a closed bulge, the closed bulge is integrally fixed at the upper end of the card body, the closed bulge is in a hollow shell shape, and the closed bulge is in a hollow shell shape. The vertical section of the closed protrusion is trapezoidal, and the size of the side, close to the card body, of the closed protrusion is larger than that of the side, away from the card body, of the closed protrusion. According to the utility model, the closed bulge is arranged to be convenient for a practicer to hold, so that a card can be conveniently and quickly taken from the table top, the cognitive ability training efficiency is further improved, and the hollow shell-shaped closed bulge is arranged, so that on one hand, manufacturing materials can be reduced, the manufacturing cost is saved, and on the other hand, the cognitive ability training efficiency is improved. The closed protrusions with the trapezoidal vertical sections facilitate stacking of a plurality of cards, the storage effect is better, and every two adjacent cards are relatively fixed through the corresponding closed protrusions.

The invention discloses a multi-sensory stimulation senior cognitive training box, and relates to the technical field of cognitive training, the multi-sensory stimulation senior cognitive training box comprises a base, the top of the base is provided with a training box body, and the training box body is sequentially provided with a first storage groove, a second storage groove and a third storage groove from top to bottom; the first functional module box is installed in the first storage groove in a sliding mode, a visual module is arranged in the first functional module box and used for training the vision of the old, the second functional module box is installed in the second storage groove in a sliding mode, and an auditory module is arranged in the second functional module box and used for training the auditory sense of the old; according to the multi-sensory stimulation senile cognition training box, the visual module (the first functional module box), the auditory module (the second functional module box), the olfactory module (the third functional module box) and the tactile module (the fourth functional module box) are integrated in the unified training box body, and the problems that an existing product is single in function and isolated from one another are solved.

The invention relates to the field of intelligent scene rehabilitation, and particularly discloses a cognition-swallowing integrated intelligent scene rehabilitation system based on AI and AR, which accurately identifies compensation behaviors and confidence thereof by collecting IMU kinematics data and physiological signal flow in real time and calculating an interaction relationship between motion and physiological features, and improves rehabilitation accuracy. And the generation and dynamic rendering of the AR visual correction instruction vector are driven. Through the mode, millisecond-level self-adaptive adjustment based on the nerve-muscle coupling index is realized, namely, when a compensatory behavior or swallowing ability decline is detected, the complexity of AR content is automatically reduced to unload cognitive load, implicit safety protection in a training stream is realized, and the training efficiency is improved. Therefore, the system can maximize the cognitive training intensity on the premise of ensuring swallowing safety, and avoids strengthening of wrong movement habits, so that the clinical practicability and the double intervention effect of the rehabilitation system are remarkably improved.

Disclosed are a digital treatment method, system, and computer program for providing personalized diet management for alleviating mild cognitive impairment. The digital treatment method comprises the steps of: storing, in a cognitive training providing device, a list of food ingredients to be consumed by a mild cognitive impairment patient for a set period; when a food ingredient list request command is input to a user terminal communicating with the cognitive training providing device, transmitting the list of food ingredients stored in the cognitive training providing device to the user terminal and providing the list of food ingredients through an application executed in the user terminal; when a food ingredient selection command is input to the user terminal, providing, through the application, the number of selections for each food ingredient selected from the list of food ingredients; and when the set period expires, providing, through the application, a result calculated according to a MIND diet score for the consumed food ingredient.

The invention provides an English bidirectional cognitive training method and system based on root vocabulary mapping. According to the system, the incidence relation of roots, vocabularies and cognitive symbols is established through a root vocabulary mapping module, automatic conversion from vocabularies to contexts is achieved through a forward generation engine, intelligent derivation from the contexts to the vocabularies is completed through a reverse derivation engine, and a learning closed loop is formed through a training optimizer. According to the invention, deep understanding and flexible application of English vocabularies are realized, and the learning efficiency is remarkably improved.

The invention discloses a personalized training recommendation method for concentration dynamic evaluation fused with multi-modal data, relates to the technical field of cognitive training, and is characterized in that multi-modal data acquisition is performed in advance for acquiring multi-dimensional data reflecting the concentration state of a user, the multi-modal data at least comprises behavior data, physiological data and environmental subjective data; based on the multi-modal data, a static basic evaluation model and a dynamic real-time evaluation model are constructed, the static basic evaluation outputs a basic score based on the initial multi-modal data, and the dynamic real-time evaluation calculates a real-time concentration score with 30 seconds as a window and obtains an adjustment result. According to the method, behavior performance, physiological features and environment and subjective feedback are creatively integrated, a double-layer model of static basic evaluation and dynamic real-time evaluation is formed, the limitation of one-time evaluation of a traditional method for life is broken through, it is ensured that the evaluation result is always synchronous with the real state of the user, and an accurate decision basis is provided for subsequent training recommendation.

A system and method for a cognitive training system is described. The cognitive training method includes generating a standalone sentence for a fact using a large language model (LLM), generating a mnemonic story based on the standalone sentence, and generating a mnemonic story image based on the mnemonic story using a generative artificial intelligence (AI) model. The method further includes assigning a place at a location to the fact based on an input received from a user through a user device in communication with the cognitive training system and rendering a cartoon illustration of the place. The method further includes generating a fact-memory aid associated with the fact that includes a fact component, a mnemonic component, and a place component. A user of the cognitive training system may participate in a game experience provided by a game engine to help remember the details of the fact-memory aid.

The present invention relates to a real-time interactive cognitive guidance system and method using a Magnetic-Sync Engine (MSE) that monitors a user's cognitive state in real time and pre-projects a target trajectory to compensate for the delay in the brain's visual information processing. The MSE of the present invention calculates a virtual gravitational force corresponding to the distance between the user's input point and the target trajectory to pull the user toward the target path like a magnet, and forms a cognitive highway by projecting a visual guide 0.1 to 0.2 seconds earlier than the expected point the user will reach through pre-pulling timing control. By fusing multimodal sensors such as eye tracking and tactile input, the cognitive load is precisely calculated, and accordingly, the size of the virtual gravitational force and the shape of the trajectory can be varied in real time. Upon successful synchronization, neurofeedback is provided through solfège frequency audio and blooming animation to maximize learning efficiency, and the invention can be applied to various fields such as medical rehabilitation, cognitive training, and precision work education.

A digital method of therapeutic brain stimulation is provided. The method comprises presenting to a user in a UI a group of trials by sequentially displaying symbols against a background. The symbols are randomly displayed one at a time against one several contexts in the background to stimulate the user's parietal or frontal lobes or motor cortex. A user response is received for each display of a symbol indicating whether the symbol is the same or different from an immediately prior symbol for the same context, wherein each trial has a maximum allowed response time for the user input after which any response is counted as a false alarm. A user score is generated for the group of trials, wherein the score compares correct identification and incorrect false alarm responses for the group of trials against a user score of a previous group of trials.

The invention discloses a nerve regulation and control method and system based on 40Hz rhythm stimulation and cognitive training, and the method comprises the steps: selecting training resources suitable for a target user in response to a nerve regulation and control instruction triggered by the target user; wherein the training resources comprise image contents, audio contents and cognitive training tasks; respectively performing 40Hz gamma rhythm modulation on the image content, the audio content and the cognitive training task to obtain cognitive training content with gamma rhythm modulation; and performing cognitive training on the target user based on the cognitive training content so as to perform neural regulation on different brain regions of the target user. Therefore, by adopting the embodiment of the invention, meaningful images, sounds and cognitive training contents are combined, the meaningful contents are more easily accepted by the elderly, the discomfort is reduced, and the training compliance is improved. Multiple types of data are modulated through the 40Hz rhythm, the method can act on a wider brain area, multiple cognitive domains can be activated at the same time, and the neural modulation effect is improved.

The invention relates to the technical field of digital medical treatment and intelligent rehabilitation, and discloses a multi-mode man-machine interaction scheme and system for cognitive training, and the scheme comprises the steps: collecting an electroencephalogram signal and eye movement data of a patient during the execution of a cognitive rehabilitation training task; performing brain-eye cooperation feature analysis on the electroencephalogram signals and the eye movement data to obtain brain-eye cooperation features of the patient; performing parameter adjustment on the cognitive rehabilitation training task based on the brain-eye collaborative features to obtain an adaptive training task of the patient; generating a personalized interaction instruction of the patient based on the adaptive training task; extracting the cognitive load of the patient based on the electroencephalogram signal; and dynamically adjusting the personalized interaction instruction based on the cognitive load to obtain a self-adaptive cognitive training scheme of the patient. According to the method, the problem that the training effect is not ideal due to the fact that a training scheme lacks self-adaptive ability and is low in patient cognitive ability matching degree can be effectively solved.

The invention provides a cognitive training device, which relates to the technical field of cognitive training, and comprises a mounting support part, the mounting supporting part is fixedly connected with a foot lifting auxiliary adapter; a foot lifting cognition adjusting part is mounted on the foot lifting auxiliary adaptive part; the foot lifting cognition adjusting part is fixedly connected with two road surface inclination detecting parts; the foot lifting cognition adjusting part is rotationally connected with a ground auxiliary attaching part. The device can assist in foot lifting height detection and training work, effectively improves the leg control force of a patient, can train the action cognition of the patient, better judges the leg lifting height, effectively reduces the risk of stumbling and the like, and solves the problem that an existing cognitive training device is not provided with a leg lifting assisting cognitive control training structure, and the training effect is poor. The problems that when the legs of a patient cannot be controlled to be too high for a long time, leg lifting obstacles are likely to be caused, and the patient is very likely to be stumbled are solved, and meanwhile an auxiliary slope exercise simulation structure does not exist.

The application discloses a training task state self-adaptive optimization method and system based on multi-modal data driving, which comprises the following steps: collecting physiological signals and behavior data of healthy people during task execution to obtain offline multi-modal feature vectors under the first task difficulty; constructing a normal state range discrimination model of the task under the first difficulty according to the offline multi-modal feature vectors; inputting online multi-modal feature vectors of a single trial in the cognitive training process into the normal state range discrimination model corresponding to the difficulty to obtain decision values of the multi-modal features; judging whether the online multi-modal feature vectors are in the normal state range of the corresponding task difficulty level in the normal state range discrimination model according to the decision values of the multi-modal features; and adjusting the task difficulty level of the subsequent trial according to the judgment result, so as to realize self-adaptive optimization. The application has significant advantages in improving the accuracy and adaptability of cognitive training.

The present application belongs to the technical field of cognitive training, and discloses a virtual vegetable garden cognitive training system for people with cognitive impairment, which comprises a user interaction interface, a virtual vegetable garden scenario module, a cognitive training task module, an old-age adaptation interaction module, a training feedback module, a training data recording module and a background management module. The modules cooperate with each other to jointly complete the presentation, interactive execution, result feedback and data management of cognitive training content. The present application takes the virtual vegetable garden as a unified scene carrier, integrates the gardening activity process, cognitive training content, old-age adaptation interaction design and training data recording mechanism in the same WeChat mini-program platform, thereby forming a digital cognitive training system with a continuous task chain, a life situation, operational convenience and data traceability, and providing a more ecological, convenient and sustainable digital cognitive training method for the elderly with mild cognitive impairment.

The invention discloses a VR cognitive rehabilitation training instrument which comprises a computer and a plurality of VR sets in communication connection with the computer, each VR set carries VR cognitive function rehabilitation software, and a plurality of patients carry out interactive cognitive rehabilitation training in a virtual environment by wearing the VR sets and utilizing the VR cognitive function rehabilitation software. The computer carries a rehabilitation medical VR training system control platform, and a doctor controls the rehabilitation medical VR training system control platform through the computer so as to perform real-time training monitoring and feedback, information management and training progress checking on each patient on one hand and perform management and control on each VR set on the other hand. According to the technical scheme, the virtual reality technology and the intelligent management technology are combined to create highly real sensory experience, so that a patient is helped to carry out cognitive training and skill reconstruction in a safe virtual environment, and a doctor can improve the rehabilitation treatment ability in the process of carrying out real-time monitoring and feedback on the patient.

The invention discloses a postoperative cognitive disorder rehabilitation device based on multi-sensory stimulation, and relates to the field of medical rehabilitation equipment. The supporting plate is connected between the pair of side supporting frames; the supporting bottom plate is arranged on the supporting plate in a sliding manner; the seat is arranged on the supporting bottom plate; the vertical plate is arranged on the supporting bottom plate and is opposite to the seat; the annular plate is arranged on the side, facing the seat, of the vertical plate. An immersive visual environment is constructed through cooperation of the annular plate and the display screen, and multi-dimensional and real-time comprehensive monitoring of nerve and physiological states in the cognitive training process of a patient is realized in combination with cooperation of the electroencephalogram electrode plate, the temperature monitoring plate, the eye movement monitoring device and the integrated multi-parameter monitor; therefore, the influence of sensory stimulation can be accurately evaluated, and a rehabilitation scheme can be dynamically adjusted; meanwhile, multi-mechanism self-adaptive adjustment including angle adjustment, head position adjustment and lifting drive is adopted.

The invention discloses an audio-visual interaction cognitive training system under a multi-task situation, which is characterized in that a highly immersive training scene is constructed through an intelligent cockpit training end, and systematic advancement from core cognitive resource base capability to multi-task situation application is realized in combination with hierarchical design of a basic cognitive training unit and a flight cruise situation training unit; strategies such as audio-visual complementary priority, redundancy control and concurrent suppression are adopted, so that visual and auditory channel resource congestion is effectively avoided, interference of an auditory preemption effect on a main task is reduced, and the defect of audio-visual resource conflict of an existing system is overcome; the repeated, quantitative and progressive training mode of the basic cognitive training unit can stabilize the base ability of the core cognitive resources of the trainee; a multi-task structure and a priority scheduling rule of the flight cruise situation training unit can simulate task cooperation requirements in a real scene, and the multi-task processing efficiency of students is enhanced.

A method and a system of optimizing a neurofeedback training session are presented. The neurofeedback training session includes an alternating sequence of neurofeedback training periods and cognitive tasks to be performed by a user on a computer device. An EEG signal is obtained from electrodes worn on the user's head during the neurofeedback training periods and during the cognitive tasks, the EEG signal including, amongst others, alpha waves and beta waves. A relative power is determined based on at least an alpha power of the alpha waves and a beta power of the beta waves. One or more characteristics of the relative power over time are determined during the neurofeedback training periods and during the cognitive tasks. A duration of the neurofeedback training periods and / or the cognitive tasks are set based on the one or more characteristics.