56 results about "Perceived cognitive abilities" patented technology

The invention discloses a novel AI (artificial intelligence) cognitive fusion network (Cogntive Fusion Network) architecture and a realization method of the novel AI (artificial intelligence) cognitive fusion network architecture. The architecture comprises a dynamic attention mechanism, double seven-layer cognitive fusion processing units (perception, understanding, reasoning, decision making, execution, reflection and meta-cognition), a memory-calculation separation engine, and a dynamic network topology management and multi-time sequence parallel processing engine. Through the functions of a dynamic attention mechanism, multi-level cognitive processing, knowledge and calculation separation, dynamic network adjustment, parallel time sequence processing and the like, the advanced cognitive ability exceeding the traditional Transform architecture is realized. Compared with the prior art, the cognitive understanding accuracy is improved by 90%, the reasoning speed is improved by 182%, the concurrent processing capacity is improved by 450%, and the multi-time sequence processing efficiency is prompted by 8 times. The method can be widely applied to a plurality of cross-industry fields such as frontier scientific research, precise medical diagnosis, enterprise intelligent decision making, government public management, personal intelligent assistants and the like.

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 application discloses a perspective conversion and meta-cognition ability testing method and platform, the method comprises the following steps: in a space array with a three-dimensional sphere as a carrier, based on a determined perspective conversion condition, rotating and transforming the self orientation of a subject, generating and presenting a space array containing the new self orientation of the subject; based on the newly generated space array, determining a test position while shielding the display of the original five objects; collecting the judgment result of the subject on whether the object to be judged after the self orientation is rotated is located at the test position, and the confidence score submitted by the subject for the judgment result through a 7-point Likert scale; for the judgment result and the confidence score submitted by the subject under different perspective conversion conditions in the perspective conversion task, the test result of the subject is obtained. In the form of a perspective conversion task, the measurement of the meta-cognition monitoring ability related to the perspective conversion of an individual is completed through the completion of a behavior task and data collection.

The invention relates to a pre-post state detection method and device, computer equipment, a storage medium and a product, relates to the technical field of pre-post state detection of station operating personnel, and can adapt to characteristic requirements of different posts and dynamically integrate physiological state information and cognitive competence information. The method comprises the following steps: acquiring physiological state information and cognitive ability information of a to-be-detected station operator; integrating the physiological state information and the cognitive competence information according to the adaptability adjustment parameters corresponding to the to-be-detected station operating personnel to obtain the post adaptability; the adaptability adjustment parameters are determined according to post characteristic information corresponding to station operators; comparing the post adaptation degree with a post threshold reference value corresponding to the to-be-detected station operating personnel to obtain a comparison result; and according to a comparison result, determining a pre-post state detection result of the to-be-detected station operator.

The application relates to a user space-based patient cognitive ability monitoring system, comprising a first client, the first client being communicatively connected to a server, the server pre-storing a predetermined behavior sequence and a time length of a predetermined specific behavior in line with user behavior habits, being capable of generating a first early warning information, and obtaining a first confidence degree according to the accuracy of a behavior sequence of a user in a current period compared with a predetermined behavior sequence based on received behavior data of daily behaviors associated with the user; the application also relates to a user space-based patient cognitive ability monitoring method, wherein the server obtains a cognitive ability score of a user according to data obtained by the first client according to the following scoring formula: the server regularly compares the cognitive ability score of the user corresponding to a current period with the cognitive ability score of the user corresponding to a last period, and generates a first early warning information when the cognitive ability score of the user decreases by more than a preset trigger threshold.

The application discloses a learner concentration detection method and device based on MRI images and a medium, relates to the technical field of computer vision, and extracts features related to cognitive activities in learner fMRI signals through a local-global feature aggregator (LGA) to generate text query features and brain subtitles; in visual stimulus reconstruction, a three-condition comprehensive guidance condition diffusion model is introduced into a reverse generation process, brain subtitles, stimulus images and fMRI potential features are combined, an image generation result is optimized through a cross-attention mechanism, and learner concentration is evaluated according to the similarity between the reconstructed image and the original stimulus; through multi-modal feature fusion and weight distribution, the objectivity and accuracy of the concentration detection are significantly improved, and a new paradigm is provided for cognitive ability evaluation.

The application discloses an IGFBP-2 derived polypeptide and application thereof in preparation of an antidepressant, and relates to the technical field of biological medicines. The amino acid sequence of the polypeptide is Pro-Lys-Lys-Leu-Arg-Pro, the N terminal of which is acetylated and the C terminal of which is amidated, and the amino acid sequence is shown as SEQ ID NO:1. The polypeptide has a small molecular weight, can easily penetrate the blood-brain barrier, and has good stability after terminal modification. Animal experiments prove that the polypeptide can significantly improve the depressive behavior of Shank3 gene knockout mice, including improving the spatial cognitive ability, enhancing the social interaction and curiosity, and relieving the anxiety behavior. Cell experiments prove that the polypeptide can significantly improve the viability of hippocampal neuron cells from Shank3 gene knockout mice, and up-regulate the expression level of synaptic plasticity related proteins GluA1 and SYN1. The polypeptide can be prepared by a chemical synthesis method, has low cost, and can be used for preparing a medicine for preventing or treating depression (especially depression related to Shank3 gene mutation).

This invention relates to the field of cognitive testing techniques and sensor-based measurement systems to create a block design test-based cognitive ability and psychomotor profile assessment system that can be used in various age groups. This system integrates testing media in the form of physical blocks, digital simulations, or a combination of both, as well as a rotation sensor-based data acquisition module to record the orientation and movement of the blocks in real-time during the assembly process. The obtained rotation data is then processed to analyze the level of accuracy, speed, interaction patterns, and movement coordination that represent the user's cognitive abilities and psychomotor profile. Unlike conventional methods that rely on subjective observations by the examiner, this system is capable of conducting assessments objectively, measurably, and based on quantitative data.Furthermore, this system enables more efficient testing by storing results digitally for monitoring, evaluation, and research. This invention is intended to support a variety of applications, from monitoring cognitive development in children, evaluating cognitive performance in adults, to early detection of cognitive and psychomotor decline in the elderly.

This invention relates to the field of health monitoring technology and discloses a method and system for assessing and warning behavioral abilities based on multimodal Internet of Things (IoT). The system includes a sensing module, a data fusion module, a behavioral graph construction module, a feature extraction module, an assessment module, and an early warning display module. The sensing module collects multimodal sensor data. The data fusion module performs spatiotemporal alignment, sensor priority conflict resolution, and Kalman filtering for noise reduction, correcting the issue of missed infrared static detections. The behavioral graph construction module establishes an individual's spatiotemporal behavioral graph through atomic event determination. The feature extraction module extracts high-level features such as spatial transfer time, spatial switching frequency, and path confusion index. The assessment module includes assessment of mobility, cognitive ability, and health warnings and acute event identification. Finally, a tiered early warning is generated and pushed to the client. This invention achieves refined quantitative assessment and early warning of the mobility and cognitive abilities of elderly people living at home.

The application discloses a kind of globally optimized supervised multimodal image fusion method, pre-processes each modality brain image data, and carries out feature extraction;The features of each modality obtained are pre-processed, and the feature matrix of each modality after pre-processing is obtained;The independence of the independent component of each modality obtained is calculated;Solve the optimal solution of the mixing matrix when the independence of the independent component of each modality, the correlation between the mixing matrix of each modality and the correlation between the mixing matrix of each modality and reference information are maximized.The global optimal solution is obtained by maximizing the independence of the independent component, and simultaneously maximizing the correlation square sum between the independent component and the reference information between the independent component of each modality, so as to obtain the global optimal solution.By introducing working memory score as reference information, the synergistic covariant component related to clinical index and relatively independent in space is identified specifically, so as to further dig the interaction between cognitive ability and multimodal neural image in mental illness.

The invention discloses application of Cacumen biotae-derived extracellular vesicles in preparation of drugs for treating anxiety, depression or insomnia. The EVs are separated and purified from cacumen biotae through a specific differential ultracentrifugation method, the EVs have a typical double-layer membrane structure, the average particle size is about 100 nm, about 1012 EVs can be extracted from each gram of cacumen biotae, and 62 volatile components are contained. Cacumen biotae EVs can be taken by PC12 cells, and corticosterone-induced neuron damage can be relieved; for chronic constraint stress model mice, anxiety behaviors and spatial learning and memory disorders can be improved, and central nervous inflammation can be inhibited; for chronic unpredictable mild stress model mice, the weight, the sucrose preference rate and the cognitive ability can be recovered, and the levels of 5-hydroxytryptamine and gamma-aminobutyric acid are increased; and for 4-chloro-DL-phenylalanine induced insomnia model mice, the sleep condition can be improved, the neurotransmitter level can be recovered, and the effect is equivalent to that of positive drugs such as citalopram, fluoxetine, diazepam and the like.

An apparatus and method for providing episodic memory training for improving cognitive ability are provided. The apparatus comprises: a memory storing at least one process for providing episodic memory training for improving cognitive ability; and a processor performing an operation on the basis of the process. The processor provides episodic data to a user terminal every preset first period, provides a first test for short-term memory evaluation for the episodic data to the user terminal when completion confirmation for the episodic data is received from the user terminal, provides a second test for long-term memory evaluation on the episodic data to the user terminal after a preset second period elapses from the time when the first test is completed, and adjusts the difficulty of the episodic memory training of a user on the basis of a first result for the first test and a second result for the second test.

The invention discloses an augmented reality thoracic surgery postoperative patient nursing management method, and relates to the technical field of postoperative nursing, and the technical scheme is characterized by comprising the following steps: collecting cognitive ability data, home nursing scene adaptation data and remote medical support data of a thoracic surgery postoperative patient; constructing a three-dimensional linkage model, inputting the cognitive competence data, the home nursing scene adaptation data and the remote medical support data into the three-dimensional linkage model, and performing score division through the adaptation degree of the three-dimensional linkage model to obtain a high-dependence nursing area, a collaborative nursing area and an autonomous nursing area; and judging the patient cognitive deviation data, the scene adaptation conflict data and the remote support response data of the high-dependence nursing area to obtain a first nursing feature set, so that the nursing support can be adjusted in real time along with the change of the cognition, scene and capability of the patient, and the accuracy and the flexibility of nursing management are improved; and finally, efficient rehabilitation of thoracic surgery postoperative patients is assisted, and the complication risk is reduced.

The present application provides a kind of nutritional composition in the application of the product for improving learning, memory and cognitive ability.The nutritional composition includes animal bifidobacterium lactis subsp.CP-9 and 3'-sialyllactose.Animal bifidobacterium lactis subsp.CP-9 and 3'-sialyllactose can synergistically enhance the memory retention ability of the body, reduce the degree of learning and memory errors, and up-regulate the expression of oligodendrocyte transcription factor 2 coding gene, myelin basic protein coding gene and brain-derived neurotrophic factor coding gene, realize the double regulation of myelin formation and neurotrophic in hippocampus region of brain, synergistically improve the neural plasticity of central nervous system through gut-brain axis pathway, and then double improve the learning, memory and cognitive function of the body from the behavior and molecular level.

The invention relates to the technical field of data processing, and discloses a mild cognitive impairment detection system based on multi-level data, and the system comprises a terminal device which is used for collecting physiological monitoring data, clinical narrative data and multi-modal test data of a user; the data processing module is used for performing interference identification and information purification on the multi-modal test data to generate a purified cognitive response matrix; the cognitive evaluation module is used for performing cognitive ability decoupling and group benchmarking based on the purified cognitive response matrix and outputting an individual ability level; and the closed-loop management module is used for constructing a longitudinal decline slope model based on a score sequence of individual historical multiple evaluations and carrying out risk early warning and intervention recommendation. According to the method, passive disease screening of cognitive health management is converted into an active, personalized and continuous risk monitoring and intervention process, and a powerful technical tool is provided for delaying cognitive decline.

A cognitive ability analysis device according to an embodiment may include an information acquisition unit that acquires user information; a content unit that determines the type of content that determines cognitive ability for social situations based on the user information; a query unit that presents the content and a question related to the content to a user and acquires a user's answer; and a determination unit that determines user's cognitive ability for social situations based on the user's answer.

The application discloses a kind of compositions for assisting to improve memory and application thereof, and specifically relates to health product technical field.The composition includes broccoli leaf polypeptide, white mushroom polypeptide, gastrodin protein peptide and N-acetylneuraminic acid, and the mass ratio is 1:(0.5-1.5):(2-3):(0.1-0.3).The application promotes acetylcholine secretion by four components synergistically, reduces acetylcholinesterase content, so that the composition has the efficacy of assisting to improve memory and cognitive ability, and can be applied to health product.

Disclosed are a patient-customized training content recommendation device and a method thereof. The device includes a profile receiver that receives a patient profile including basic information and cognitive information of a patient, a cognitive ability evaluating unit that calculates a function-specific cognitive score of the patient by evaluating a cognitive ability of the patient based on the patient profile, a training recommendation unit that recommends at least one training content through an artificial intelligence (AI) rehabilitation recommendation model, and a training conducting unit that calculates a result for the training content provided to the patient through a user terminal.

The embodiment of the invention provides a personnel cognitive competence evaluation method based on nerve regulation, edge computing equipment and a medium, in the personnel cognitive competence evaluation method based on nerve regulation, the edge computing equipment obtains a behavior performance score of a user through target presentation, memory interval and quantity feedback; according to the target frequency, visual stimulation and auditory stimulation are conducted on the user, and electroencephalogram signals of the user are collected. And then, the edge computing device processes the electroencephalogram signal to obtain the power spectral density of the electroencephalogram signal, so that the wave power of a target frequency band can be obtained according to the power spectral density, and the cognitive ability score of the user can be obtained according to the behavior performance score of the user and the wave power of the target frequency band. Therefore, the cognitive ability of the user can be evaluated, and the method can integrate the behavior performance and the electroencephalogram signal of the user to scientifically reflect the memory and cognitive state of the user.

The utility model discloses a wooden assembled wisdom toy, including wooden main part, card block and fixed component, the wooden main part is dodecahedron, and every surface of the wooden main part is all seted up recess, card block with recess is matched, and the side of card block is equipped with chamfer, and fixed component is installed in one side of card block, and the card of card block fixed is set in the inside of recess, the utility model discloses through the additional wooden main part, card block and fixed component, can realize the dismounting between card block and wooden main part, and increase the stability that card block assembled placed, and the toy can exercise the dexterity, observation and the cognitive ability to shape of children when playing, and exercise the carefulness and patience of children in the process of playing, can effectively improve the fun of children playing.

Provide a system. 【Solution means】 A device for collecting the learning history and achievement data of users, A device for analyzing the collected data to identify the cognitive ability and learning method of users, A device for generating an optimal education plan based on the identified learning method and cognitive ability, A device for automatically creating training tasks focused on the weak areas of users, A connection device for providing the generated education plan and training tasks to users, A device for collecting the learning results from users as regression information, analyzing the regression information, and reflecting it in the next education plan, A device for selecting teaching materials for enhancing and improving learning using AI technology and providing knowledge suitable for users, A system including the above.

The invention relates to the technical field of data security training and evaluation, and discloses a holographic perception evaluation method and system for data security, and the method comprises the steps: constructing a security mapping model of multiple sensory channels, and mapping data security risk features to visual, auditory and tactile perception features; personalized perception intensity adjustment and semantic correlation optimization are carried out based on user cognition characteristics; dynamic simulation and interactive experience of known and unknown security threats are realized through a potential safety hazard simulation technology; establishing a unified cross-scene perception evaluation framework; according to the method, the limitation of a traditional single sensory channel is broken through, multi-dimensional cooperative transmission of safety knowledge is realized, the visual understanding and deep cognitive ability of a user on data safety risks are improved, and a systematic solution is provided for improving the overall safety awareness of an organization.

A method for identifying pre-disposition to cognitive decline in a subject, the method comprising determining levels of: (a) omega-3 fatty acids, and vitamin D or a metabolite thereof; (b) omega-3 fatty acids, and homocysteine; (c) vitamin D or a metabolite thereof, and homocysteine; or (d) omega-3 fatty acids, vitamin D or a metabolite thereof, and homocysteine, independently in one or more samples obtained from the subject.

The invention discloses an olfaction recognition method for early clinical screening of Alzheimer's disease. By finding that the olfactory ability of AD mice is poorer than that of normal mice, a theoretical basis is provided for early screening of Alzheimer's disease by early olfactory lesions. The olfaction recognition technology is used for AD early-stage screening, it is found that the olfaction recognition ability is reduced along with reduction of the cognitive ability in middle-aged and elderly people in China, it is indicated that SCD old people converted into AD risks can be recognized, and the function of screening middle-aged and elderly Alzheimer's disease risk patients is achieved. Therefore, the olfaction evaluation technology which has the characteristics of remarkable low cost benefit and complete non-invasive property and is extremely simple to operate is expected to become an extremely reliable tool for preliminary detection of the Alzheimer's disease in the future.

The invention provides an interactive cognitive ability evaluation method for unmanned driving. The method comprises the following steps: constructing a layered scene library; designing a pressure factor, injecting the pressure factor into each scene, and carrying out scene testing; in the scene testing process, testing data are collected, and features are extracted; calculating a cognitive entropy-interaction entropy; and carrying out comprehensive scoring and grade authentication. According to the interactive cognitive ability evaluation method oriented to unmanned driving, the cognitive and interactive process of an unmanned driving system can be efficient and predictable, the uncertainty in the decision-making and interactive process of the unmanned driving system is quantified through entropy in the information theory, a pressure test scene is designed and injected, the change of the entropy value is evaluated, and the evaluation accuracy of the interactive cognitive ability of the unmanned driving system is improved. Therefore, the comprehensive ability score is obtained.

The application discloses a biological rhythm-light interaction regulation method based on comprehensive cognitive ability index under value more conditions and an intelligent light environment regulation system, and belongs to the technical field of biological rhythm regulation and intelligent environment control. The method comprises the following steps: constructing an individualized comprehensive cognitive ability index, and fitting a solidified mixed effect model parameter based on pre-experiment data; obtaining a real-time biological rhythm phase of a person, combining the solidified parameter to calculate a cognitive ability benchmark value of the person under no light intervention, and determining a cognitive ability gap amount to be compensated; and under the physical constraint of light parameters, optimization solving is carried out to obtain optimal light intensity and color temperature, and a light source is driven to perform adjustment to change a physical light environment, and adaptive optimization is realized through a closed-loop feedback mechanism. The application realizes the transformation from a group statistical model to an individual real-time control strategy, can implement precise light regulation according to people and time, and effectively maintains cognitive ability and rhythm health during value more work.

The invention provides a person cognitive ability assessment method based on a virtual reality scene, an edge computing device and a medium, and relates to the technical field of cognitive assessment. After a to-be-evaluated user wears a virtual reality VR device, the pose change of the head of the user is obtained in real time, and the picture of the evaluation task displayed in the VR device is adjusted based on the pose change, so that the switching of the picture is synchronized with the pose change of the head. And obtaining multi-modal physiological data and an execution result of the evaluation task in the process of executing the evaluation task by the user, and determining a cognitive ability evaluation result of the user based on the multi-modal physiological data and the execution result. Manual participation is not needed, and the evaluation efficiency and accuracy are improved; and adjusting the picture according to the pose change so as to synchronize the picture switching and the head pose change, namely the VR equipment provided by the invention has a picture self-adaptive adjustment capability aiming at the user, accords with the real motion condition of the head, and reduces the shaking of the picture, so that the discomfort of the user in the evaluation process is relieved, and the evaluation experience is improved.

This invention relates to the field of cognitive testing techniques and sensor-based measurement systems to create a block design test-based visual attention and visual memory assessment system that can be used in various age groups. This system integrates testing media in the form of physical blocks, digital simulations, or a combination of both, as well as an eye-tracking data acquisition module to record gaze direction, eye movements, and attention duration in real-time during the process of observing and arranging blocks. The eye-tracking data obtained is then processed to analyze visual attention patterns, focus shifts, and their relationship to the process of remembering and arranging patterns that represent the user's visual memory ability. Unlike conventional methods that rely on subjective observations by the examiner, this system is capable of conducting objective, measurable, and data-based assessments of visual behavior.Furthermore, this system enables more efficient testing by storing results digitally for monitoring, evaluation, and research. This invention is intended to support a variety of applications, from monitoring cognitive development in children, evaluating cognitive performance in adults, to early detection of cognitive decline in the elderly.

The invention discloses a cognitive ability prediction method and system, electronic equipment and a readable storage medium. The method comprises the following steps: extracting frequency domain features of electroencephalogram signals; extracting functional connection characteristics of the electroencephalogram signals; constructing a neurocognitive double-effect hypothesis equation based on the frequency domain features and the functional connection features; calculating a cognitive ability value according to a neurocognitive double-effect hypothesis equation; and performing cognitive ability prediction based on the cognitive ability value to obtain a cognitive ability prediction result. According to the method, the overall neural calculation efficiency can be quantified by integrating neural energy consumption, network connection lines and task difficulty, and the accuracy of cognitive ability prediction can be improved.

The invention discloses a new application of a dried periplaneta americana polypide extract, and relates to the technical field of the dried periplaneta americana polypide extract, and the dried periplaneta americana polypide extract can improve blood circulation and capillary functions of cerebral small vascular diseases through anti-inflammatory, anti-oxidation and tissue repair effects. Meanwhile, neuron damage can be relieved, and the cognitive function can be improved. Animal pharmacological experiment results show that the American cockroach dried polypide extract can significantly improve the cognitive competence of model animals, and has great application value in the field of treatment of cerebral small vascular disease cognitive impairment.