96 results about "Perceived cognitive abilities" patented technology

An efficient, objective testing method and system for evaluating changes in mental function is described. The method and system are based on measuring an individual's behavioral responses and brain function during a brief cognitive test battery and passive control conditions. The method and system is designed to assess an individual's fundamental cognitive functions, and whether those functions have been significantly affected by a variety of factors such as progressive disease processes, medication, stress, fatigue, training, or the passage of time. The method and system can be used to determine whether drugs being evaluated to treat diseases or conditions affecting cognitive brain function have a significant positive effect on delaying or improving the symptoms of such a disease or condition, especially during clinical trials for drug approval and subsequent marketing. The method and system may also be employed as part of the successful diagnosis or ongoing treatment of neurological diseases or conditions that directly or indirectly affect human neurocognitive performance. The method and system may also be used to determine transitory changes in overall cognitive function due to emotional stress or fatigue, and more long lasting changes in overall cognitive function following training and educational programs.

The present invention relates to compositions comprising a combination of PKC activators and PKC inhibitors and methods to modulate α-secretase activity; improve or enhance cognitive ability; and/or reduce neurodegeneration in individuals suffering from diseases that impair cognitive ability, particularly Alzheimer's Disease. The invention also relates to methods for improving or enhancing cognitive ability. The present invention also provides methods for increasing the generation of non-amyloidogenic soluble APP (sAPP) comprising the activation of protein kinase C (PKC) in the brain and inhibiting PKC in peripheral tissues. Macrocyclic lactones (i.e. bryostatin class and neristatin class) are preferred PKC activators and Vitamin E is a preferred PKC inhibitor for use in the inventive composition.

Example systems, methods, and apparatus are provided for using data collected from the responses of an individual with the computerized tasks of a cognitive platform to derive performance metrics as an indicator of cognitive abilities, and applying predictive models to generate an indication of neurodegenerative condition. The example systems, methods, and apparatus also can be configured to adapt the computerized tasks to enhance the individual's cognitive abilities, and for using data collected from the responses of an individual with the adapted computerized tasks to derive performance metrics and applying predictive models to generate the indication of neurodegenerative condition.

The invention provides methods for enhancing neurogenesis in an animal. In one embodiment, a method for enhancing neurogenesis in an animal can comprise identifying an animal that is suffering from cognitive decline, that is at risk of becoming cognitively impaired, that is diagnosed with a disease, disorder, or other condition that affects its cognitive abilities, or that is at risk of contracting a disease, disorder, or other condition that affects its cognitive abilities, and administering a composition comprising an unsaturated fatty acid (UFA), a nitric oxide releasing compound (NORC), a B vitamin, and an antioxidant, to the animal, wherein the composition is administered in an amount effective for enhancing neurogenesis in the animal.

The invention belongs to the technical field of education data mining, and discloses a knowledge measurement-oriented test question, knowledge and ability tensor construction and labeling method. In combination of a Q matrix and Bloom cognitive field education target classification, knowledge point mastering is divided into six cognitive ability levels: knowing, understanding, application, analysis, integration, evaluation and test question, knowledge and ability tensor construction. An interpretable test question label prediction model is constructed by adopting an active learning strategy, interpretable label prediction information entropies are obtained, unlabeled samples are input into the prediction model by utilizing the trained interpretable test question label prediction model, andthe label prediction information entropies with relatively high interpretability are fed back, so that man-machine coordination is carried out. According to the method, the influence of subjectivityof manual labeling on the TKA tensor is reduced, the labeling accuracy and efficiency are high, and the expert labor cost is greatly reduced. The method is high in mobility, can be applied to examination and annotation of test question knowledge points of all subjects, and is better in applicability.

The present invention relates to training equipment for improving the ability of memory and cognition, and muscle power, and a training method using the training equipment. In particular, the present invention relates to training equipment for improving the ability of memory and cognition, and muscle power (upper and lower limb muscle power), the training equipment including: a lower limb muscle power exercise module that includes pedals for strengthening the muscle power of user's lower limbs and/or a handle for steering; a display that implements traveling in a virtual space for memory ability training of the user; and a training unit that improves cognition ability and/or muscle power of the user on the basis of driving data of the lower limb muscle power exercise module, thereby being able to complexly support memory ability training, lower limb muscle power exercise, and upper limb muscle power exercise of rehabilitation patients, patients with dementia, and/or patients with cognitive impairment.

The invention discloses a three-dimensional map construction method and device, electronic equipment and a storage medium. The three-dimensional map construction method comprises the following steps: acquiring at least one frame of image shot by a mobile camera device in a target area; performing semantic segmentation on each frame of image to obtain corresponding semantic segmentation information; performing pose estimation on each image according to the corresponding semantic segmentation information to obtain a pose estimation result; and constructing a three-dimensional map in combination with the semantic segmentation information and the pose estimation result corresponding to each frame of the image. According to the three-dimensional map construction method provided by the embodiment of the invention, a long-term vision SLAM method capable of effectively coping with the extreme appearance change of a scene is provided on the basis of the high-level cognitive information obtained by scene semantic segmentation; self-adaptive high-level cognition for a dynamic environment is formed through map representation fused with semantic information and updating and association of the map representation, and the active cognition ability of a robot system is improved.

The invention discloses a cognitive disorder man-machine interaction method and system based on emotion monitoring. The man-machine interaction method comprises the following steps: acquiring a cognitive ability level of a user; generating a man-machine interaction scheme according to the cognitive ability level; generating an Nth man-machine interaction task according to the man-machine interaction scheme; and performing emotion monitoring on the expression of the user in the Nth man-machine interaction task, and returning to the previous step to generate the Nth man-machine interaction task according to the man-machine interaction scheme until all tasks in the man-machine interaction scheme are completed. The man-machine interaction method mainly comprises cognitive evaluation and man-machine interaction tasks, meanwhile, various basic emotion information of a user in the man-machine interaction process is monitored in real time, the emotion comprehensive index of the user is obtained, and the follow-up man-machine interaction tasks and states of the user are adjusted through the emotion comprehensive index. Therefore, the purpose of improving the cognitive man-machine interaction effect is achieved.

The invention discloses an individual cognitive ability prediction method and system based on dynamic function connection. The method comprises the following steps: acquiring functional magnetic resonance imaging data in a resting state; extracting an average time sequence signal of each brain region through a brain template after preprocessing of the functional magnetic resonance imaging data; calculating and constructing a dynamic function connection matrix by using a sliding time window; with the dynamic function connection matrix as input high-dimensional dynamic brain description originaldata, constructing a model combining convolution and a long-short-term memory network; and substituting a dynamic function matrix and corresponding cognitive behavior data into the model for trainingand testing so as to realize prediction of cognitive competence. According to the invention, dynamic information of brain function connection is fully utilized, the advantages of a deep learning method in big data processing are utilized, calculation is rapid, prediction effect is ideal, various behavior data of a population can be predicted, dependence on the absolute value of the amplitude of imaging signals is avoided, migrations among different MRI machines can be realized, and prediction performance is excellent.

The invention discloses a human-computer interaction scheme pushing method and system for improving cognition. The method comprises the following steps: performing brain capability assessment on a user to obtain scores of various brain capabilities of the user; according to the score of each brain ability of the user, obtaining the relative integrating degree of the demand degree of improvement of each brain ability of the user and the normal form; according to the demand degree and the relative integrating degree, screening out multiple to-be-improved brain capabilities from all the brain capabilities of the user, and forming an active normal form pool; extracting a set number of brain abilities from the to-be-improved brain abilities, extracting a normal form with the maximum relative integrating degree from the active normal form pool, and selecting a human-computer interaction task under each normal form to be added into a human-computer interaction scheme; and pushing the human-computer interaction scheme to the user for human-computer interaction. By means of the method and system, customized human-computer interaction schemes can be generated for different users, and the users are helped to improve cognitive competence.

The invention discloses application of CCFM1025 in preparation of foods or drugs for alleviating autism and absorbing PCBs. Bifidobacterium breve CCFM1025 can improve autonomous behaviors and exploration behaviors caused by the autism in an unfamiliar environment, alleviate social barriers caused by the autism, significantly improve stereotyped behaviors caused by the autism, and improve the cognitive ability of new objects, improve hyperactivity symptoms, and effectively adsorb the PCBs.

Example systems, methods, and apparatus, including cognitive platforms, are provided for applying signal detection metrics in computer-implemented adaptive response-deadline procedures to data collected based at least in part on user interaction(s) with computerized tasks and/or interferences. The apparatus can include a response classifier for generating a quantifier of the cognitive abilities ofan individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

The invention discloses a cognitive assessment informatization method and system and a readable storage medium. The assessment method comprises the following steps: establishing a cognitive assessmentknowledge base, wherein the cognitive assessment knowledge base comprises cognitive information in three aspects, that is, cognitive ability, emotional behaviors and life self-care ability; on the basis of the cognitive assessment knowledge base, generating a cognitive assessment test form for a target person to test, and generating cognitive assessment parameters after the test is completed; andcollecting the cognitive assessment parameters of the target person, and carrying out comprehensive assessment and generating a cognitive assessment result corresponding to the target person. The comprehensive cognition condition of the target person is comprehensively evaluated according to cognition, emotion and life self-care ability, and the defects of a traditional scale and a single cognition evaluation scale in clinical use and nursing can be overcome, so that cognition evaluation is allowed to be more objective and comprehensive.

The invention belongs to the technical field of child nutrition and growth and development relationship evaluation, and discloses a method and a system for evaluating the relationship between nutrition and growth and development of children. The method for evaluating the relationship between nutrition and growth and development of children comprises the following steps: acquiring personal information data of names and ages of children, and acquiring height data, weight data and blood element index data of children; drawing a child nutrition and growth relation curve image according to the collected data, and testing the child psychology; evaluating the development ability, cognitive ability and comprehensive ability of children; and finally, storing and displaying the acquired data. According to the invention, through the developmental capacity evaluation module, automatic evaluation of the developmental capacity of children can be effectively realized, manual evaluation is not needed,the cost can be effectively saved, and the efficiency is improved; meanwhile, cognition and abilities of children of different ages in different art fields within sample time can be accurately inferred through the cognition ability evaluation module.

The invention provides a pharmaceutical composition capable of improving the cognitive ability. The pharmaceutical composition is a preparation composed of the following medicinal raw materials in parts by weight: 5 to 15 parts of processed fleece-flower root, 5 to 10 parts of epimedium, 5 to 10 parts of red sage root, 5 to 10 parts of cornus officinalis, and 1 to 5 parts of ginseng. The pharmaceutical composition is prepared by compounding drugs such as fleece-flower root, and the like; experiments has shown that the pharmaceutical composition can improve the cognitive disorder caused by aging, cerebrovascular accidents, or the like, such as learning and memory ability degradation, and the like; can be used to treat and prevent mild cognitive disorder and dementia, and is capable of controlling the disease progression and relieving the clinical symptoms.

The invention relates to a phosphodiesterase 4 inhibitor capable of avoiding a vomiting reaction. The phosphodiesterase 4 inhibitor is a compound or a pro-drug or a solvate represented by formula (I), wherein R1 is independent methoxyl, bromine and substituted aryl; X is a randomly substituted six-membered heterocycle; Y is -(CH2)n-, -NH(CH2)n- and -NH(CH2)n-O-, wherein n can be any one of 0, 1, 2 or 3; and Z is a randomly substituted aromatic ring or a randomly substituted heteroaromatic ring. The phosphodiesterase 4 inhibitor capable of avoiding the vomiting reaction is a novel biphenyl PDE4D inhibitor which is applicable to treating depression and Alzheimer's disease and improving cognitive competence, and is capable of avoiding a side effect such as the vomiting.

The invention provides an application of a panaxadiol saponin component in preparing an antischizophrenic drug. The application comprises treatment of schizophrenia and resistance of toxic side effect, namely an extrapyramidal symptom and the like which are caused by the antischizophrenic drug, wherein the antischizophrenic drug comprises the panaxadiol saponin component independently or with other medicines and other active compounds and pharmaceutically acceptable carriers. The invention proves that the panaxadiol saponin component (Rb) can improve the cognitive ability of a schizophrenia animal model, resist the nerve toxic side effect of multiple schizophrenia drugs, improve the negative symptoms (such as cognition impairment) of the schizophrenia and is applied to preparing the antischizophrenic drug.

The invention discloses a traditional Chinese medicine preparation used for preventing and treating aluminum-induced senile dementia (AD). The medicine preparation is characterized in that the traditional Chinese medicine preparation is prepared from the raw materials of, by weight: 5-15 parts of tuckahoe, 3-6 parts of licorice root, 1-3 parts of glabrous greenbrier rhizome, 5-15 parts of ma-yuen jobstears seed, 5-10 parts of white tremella, and 1-3 parts of mung bean seed-coat. The medicine preparation has the functions of heat clearing, detoxifying, spleen strengthening, dampness eliminating, liver protecting, kidney protecting, blood circulation activating, stasis removing, and the like. With the medicine preparation, excretion of excessively accumulated aluminum in AD patient brains can be promoted; excessive harmful superoxide anion radicals such as O2 can be removed; brain cholinergic nerve system choline acetyltransferase (ChAT) activity, acetylcholinesterase (AchE) activity, and acetylcholine neurotransmitter content can be regulated; and patient memory and cognitive ability can be recovered and enhanced. The traditional Chinese medicine preparation is suitable to be used by AD patients in preventing and treating.