91 results about "Perceived cognitive abilities" patented technology

The invention relates to a large language model reasoning enhancement method and device based on a multi-source retrieval and summary module, and the method comprises the steps: taking Qwen2.5-32B as a large language model, and carrying out the fine adjustment of the large language model through a preset retrieval data set; multiple rewards are introduced through reinforcement learning to improve the self-cognition ability of the large language model; constructing a vector database and a real-time network retrieval system based on the FAISS, and performing multi-source retrieval on the text data through the vector database and the real-time network retrieval system; text information of the text data is summarized through a preset small language model, and the text information is output to the large language model. According to the method, the self-cognition ability of the big language model is improved by adopting reinforcement learning (GPRO), and the multi-source retrieval module is constructed, so that the data with similar semantics can be quickly queried to assist the big language model in deeply understanding the semantic connotation of the data, and the accuracy and rationality of retrieval are improved.

The present invention specifically relates to a method and apparatus for tactile-motion electroencephalogram signal-based closed-loop neurofeedback training. The method comprises: collecting the current finger somatosensory temporal discrimination threshold and electroencephalogram data of a test individual; using a closed-loop neurofeedback system and an electroencephalogram amplifier to perform neurofeedback training on the test individual; collecting the current finger somatosensory temporal discrimination threshold and electroencephalogram data of the test individual again, and by means of processing behavioral data of the finger somatosensory temporal discrimination threshold of the test individual and electroencephalogram feature data of the test individual, acquiring an effect after the neurofeedback training. By utilizing the impairment of a primary somatosensory cortex to extract tactile electroencephalogram feature indicators that are less constrained by cognitive abilities, the present invention enables a patient, during the closed-loop neurofeedback training, to observe in real time signals of the patient's brain-related electroencephalogram feature indicators and perform self-regulation, thereby more effectively changing the patient's own basic neural mechanisms, and achieving the control and intervention of early Alzheimer's disease.

The invention provides a cognitive impairment screening system. A cognitive impairment screening system comprises an eye movement tracker, a testing end device, a tested end device and a processing device. The testing end device responds to the configuration operation of the testee and generates a test process of the subject, and the test process comprises test tasks corresponding to the cognitive competence of at least one dimension; the tested end device is provided with a first display device, and the test content corresponding to each test task is sequentially and visually displayed through the first display device; the eye movement tracker collects eye movement data of the subject for each test task in the test process and transmits the eye movement data to the processing equipment; the processing device determines a cognitive screening index for the eye movement data, and generates a screening recommendation result according to the cognitive screening index; the cognitive screening index comprises at least one of the test result accuracy data of the test task and the fixation time ratio of the region of interest in the test task, so that the cognitive impairment screening efficiency and accuracy are improved.

A method and system for diagnosing an idiopathic psychosis patient and improving treatment targeting for that patient. Cognitive performance is measured on the patient. Pro- and anti-saccade signals are measured on the patient. Motor inhibition is measured on the patient. EEG signals are measured on the patient. Principal components analysis is applied to the measured signals and scales to determine the most significant features. The patient is evaluating on at least 11 dimensions of neuro-cognitive performance. A trained numerical taxonomy approach is used to classify the patient as belonging to a B-SNP psychosis Biotype and the patient's condition is categorized based on the classified Biotype. The B-SNIP psychosis Biotype is used to implement targeted treatment for an individual patient. The diagnostic algorithm is continuously re-trained using new cases and new laboratory tests to improve precision of B-SNIP psychosis Biotypes diagnosis and the accuracy of selecting treatments for individual patients.

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 discloses a hydroxyl-alpha-sanshool nano preparation as well as a preparation method and application thereof, and belongs to the technical field of pharmaceutical preparations, the hydroxyl-alpha-sanshool nano preparation is HAS-coated PEG-PLGA, the preparation method comprises the following steps: taking hydroxyl-alpha-sanshool and polyethylene glycol modified polylactic acid-glycolic acid copolymer as raw materials, and adding the hydroxyl-alpha-sanshool nano preparation and the polyethylene glycol modified polylactic acid-glycolic acid copolymer to prepare the hydroxyl-alpha-sanshool nano preparation. The preparation method comprises the following steps: preparing HAS-coated TGN-PEG-PLGA by adopting an emulsified solvent evaporation method, and further modifying by adopting TGN polypeptide, so as to prepare HAS-coated TGN-PEG-PLGA; according to the hydroxyl-alpha-sanshool nano-preparation, the encapsulation efficiency and the drug loading capacity of hydroxyl-alpha-sanshool are obviously improved, and the hydroxyl-alpha-sanshool nano-preparation has excellent stability and blood-brain barrier crossing capacity, so that the hydroxyl-alpha-sanshool nano-preparation can give full play to the treatment effects of improving learning and memory ability, cognitive ability and the like.

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 invention discloses a cognitive competence training evaluation method and device, equipment and a medium, and the method comprises the steps: receiving a starting instruction, and obtaining a multimedia playing file corresponding to the starting instruction from a preset multimedia set; sending the multimedia playing file to an interactive display screen for playing, and synchronously obtaining eye movement track information captured by an eyeball capturing module; projecting the eye movement track information to a virtual scene corresponding to the multimedia playing file to obtain eye movement projection information; performing consistency analysis on the eye movement projection information according to eye movement reference coordinates corresponding to the multimedia playing file to obtain a corresponding consistency analysis result; and evaluating the consistency analysis result according to a preset evaluation model to obtain a corresponding evaluation score. According to the cognitive competence training evaluation method, the multimedia playing file is played and the individual eye movement track information is acquired and analyzed, so that the cognitive competence evaluation result of the individual is accurately acquired.

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.

The invention provides application of Alda-1 in preparation of a preparation for improving a cognitive function, and belongs to the technical field of biological medicines. According to the method, the improvement effect of Alda-1 on cognitive competence is evaluated from the perspectives of working memory, suppression control, visual discrimination and the like, and results show that Alda-1 can improve the working memory ability, the suppression control ability and the visual discrimination ability. Therefore, the invention provides a safe and effective solution for developing new application of the Alda-1 medicine, guaranteeing the visual cognition ability of special occupational people and treating early neurological and mental diseases accompanied by visual cognition impairment.

The invention discloses a composition for assisting in improving memory and application of the composition, and particularly relates to the technical field of health care products. The composition comprises broccoli leaf polypeptide, pleurotus nebrodensis polypeptide, gastrodia elata protein peptide and N-acetylneuraminic acid in a mass ratio of 1: (0.5-1.5): (2-3): (0.1-0.3). According to the invention, the four components cooperate to promote secretion of acetylcholine and reduce the content of acetylcholin esterase, so that the composition has the efficacy of assisting in improving memory and cognitive ability, and can be applied to health care products.

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 present invention relates to a composition for improving memory, improving cognition, preventing or treating cerebral neurological disease, comprising porcine brain enzyme hydrolysate. The composition can exhibit neuroprotective activity, brain-derived neurotrophic factor (BDNF) production activity, acetylcholinesterase inhibitory activity and reactive oxygen species (ROS) inhibitory activity.

The invention relates to the use of an extract of Phaeodactylum tricornutum alone or in combination with an extract chosen from a guarana (Paullinia cupana) extract, a ginseng (Panax ginseng) extract, a Ginkgo biloba extract, a Nelumbo nucifera extract, a Centella asiatica extract, a Piper nigrum extract, a Bacopa monnieri extract or any combination thereof and / or a compound chosen from arginine, creatine, caffeine, theanine, vitamin C, vitamin E, vitamin B, theophylline, paraxanthine, theobromine, rosmarinic acid, ellagic acid, cinnamaldehyde or any combination thereof, for maintaining and / or increasing data processing speed and / or concentration in healthy mammals. The combination of the extract of P. tricornutum and one of these extracts or one of these compounds is also described. The invention also relates to a composition comprising the combination according to the invention.

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 embodiment of the invention provides a reading and related cognitive ability defect recognition device and method. The device comprises a test content generation module which is used for generating test content for testing the reading capability of a user according to basic information of the user under the condition that the reading capability defect risk of the user is determined, and displaying the test content to the user through an operation interface; the cognitive defect identification module is used for acquiring a response result of the user for the test content, and identifying whether the user has reading and related cognitive ability defects based on the response result; and the defect factor matching module is used for matching the users according to different reading-related cognitive ability defect factors under the condition of determining that the users have reading and related cognitive ability defects, and determining the reading-related cognitive ability defect factors matched with the users. By adopting the mode, whether the user has the reading ability defect or not can be identified, and the essential factors which really cause the reading ability defect of the user can also be identified.