36 results about "Neurocognitive" 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.

A neurocognitive assessment and evaluation system uses a portable computerized appliance having a touchscreen, network communication functionality, at least one processor and on-board digital memory, and has software executing on the at least one processor. The software provides an interactive display comprising one or more graphics artifacts with which a person may interact, monitoring of the time and nature of the person's interaction with the one or more graphics artifacts, and audio or text instruction for the person to follow to interact with the one or more graphics artifacts to perform a specific test for neurocognitive evaluation of the person.

The application provides data from a clinical trial of a PSD-95 inhibitor in subjects undergoing endovascular repair of an aneurysm in or otherwise affecting the CNS. The subjects were stratified by whether the aneurysm ruptured before performing the endovascular surgery. Rupture is associated with higher mortality or increased debilitation if a subject survives. The trial provided evidence of significant benefit in subjects with and without aneurysm rupture before endovascular was surgery performed. Surprisingly, the subjects benefiting most from treatment as judged both by pathology and neurocognitive outcome were those in which the aneurysm had ruptured causing a subarachnoid hemorrhage. These data constitute evidence that a PSD-95 inhibitor is beneficial not only in ischemic and hemorrhagic stroke but in forms of hemorrhage in or affecting the CNS, particularly, subarachnoid hemorrhage.

Described is a system for patient-specific rehabilitation that can be performed outside a clinic. The system monitors a patient in real-time to generate a quantitative assessment of a physical state and a motivational state of the patient using sensor data obtained from sensors. Predictions related to the patient are generated utilizing patient-specific biomechanical and neurocognitive models implemented with predictive simulations. Video feed of the patient is registered with sensor data and a set of simulation data. Rehabilitation guidance instructions are conveyed to the patient through dialog-based interactions.

Described are methods, systems, and mediums for testing neuromechanical and neurocognitive function which reflect physical and mental compromise that may be associated with, for example, traumatic brain injury (TBI). In particular, a computer-executed method, system, and computer readable medium for testing neuromechanical and neurocognitive function of a subject are described which measure a subject's performance in a test comprising one or more test modules designed to challenge neuromechanical and neurocognitive function and compare the performance to one or more baselines to evaluate physical and mental compromise.

The invention discloses an automatic assessment system for schizophrenia based on a neurocognitive function and machine learning. The system comprises a data acquisition module (1), a feature engineering module (2) and an automatic assessment module (3); the data acquisition module (1), the feature engineering module (2) and the automatic assessment module (3) are connected in sequence. The automatic assessment system can be used for screening and assessing the schizophrenia, has a significant effect on distinguishing schizophrenic and healthy people and is suitable for clinical promotion.

The application provides data from a clinical trial of a PSD-95 inhibitor in subjects undergoing endovascular repair of an aneurysm in or otherwise affecting the CNS. The subjects were stratified by whether the aneurysm ruptured before performing the endovascular surgery. Rupture is associated with higher mortality or increased debilitation if a subject survives. The trial provided evidence of significant benefit in subjects with and without aneurysm rupture before endovascular was surgery performed. Surprisingly, the subjects benefitting most from treatment as judged both by pathology and neurocognitive outcome were those in which the aneurysm had ruptured causing a subarachnoid hemorrhage. These data constitute evidence that a PSD-95 inhibitor is beneficial not only in ischemic and hemorrhagic stroke but in forms of hemorrhage in or affecting the CNS, particularly, subarachnoid hemorrhage.

The invention discloses a scientific detection method and device for environment-related neurocognitive behaviors of road traffic participants as well as a model for detection of different hominids. The method comprises the following studies: DBQ original 27 structural performance studies; DBQ original 28 structural performance studies; studies on influence of different external environments and on a mixed effect on DBQ high acceptable fitness caused by test object factors when all samples are used; DBQ express edition 9 structural mix design method studies; DBQ product pavement performance studies; DBQ product pavement performance structural design system studies; DBQ product pavement performance technology studies.

The invention provides a brain-like cross-modal identification and parallel processing method of a pollution precursor emission source (ESPP) for remote sensing space-time big data. The method specifically comprises the following steps: respectively inverting the tropospheric column concentrations of atmospheric pollution trace gases such as NO2, O3, SO2 and NH3 based on satellite remote sensing inversion, and calculating the PM2.5 concentration near the ground; training based on brain heuristic calculation according to the satellite remote sensing inversion result, the hyperspectral image, the synthetic aperture radar image and the target semantic tag Cp of the ESPP, and establishing an ESPP-oriented cross-modal neural cognitive calculation model; and extracting cross-modal, multi-level and multi-scale ESPP features in the remote sensing space-time big data based on deep learning. the invention discloses an object-oriented remote sensing cross-modal ESPP representation and reasoning method based on a probability cognition framework. Multi-scale topic clustering, cross-modal ESPP cognition processing and incremental learning of ESPP recognition are carried out on ESPP features. According to the invention, ESPP identification based on brain-like computing can be effectively realized, and a systematic solution is provided for atmospheric pollution tracing.

The invention discloses a convenient and rapid neurocognitive function evaluation method and a device thereof, which relate to the technical field of medical treatment. The method comprises the stepsthat physiological information, sound information and gait information of an evaluation object are acquired, and the neurocognitive function of the evaluation object is automatically analyzed by fusing multi-modal data; and the evaluation result can be rapidly obtained. Due to the integrated evaluation process, the method is high in accuracy and efficiency; the device is high in adaptability and mobility and low in configuration and maintenance cost. The method not only can be used for conventional cognitive function evaluation and fall risk prediction, but also can be used for performing early-stage prevention, later-stage rehabilitation training and guidance treatment on people with cognitive impairment to a certain extent, and promoting the research of a cognitive mechanism.

Disclosed are methods of enhancing neurocognitive function by administering of American Ginseng. Preferred dosages in the range of 5 to 50 mg total ginsenosides enhance cognitive function—including, improvement of working memory (WM) performance, attentional performance (e.g., Choice Reaction Time accuracy), and calmness.

The invention relates to a teaching evaluation sentiment analysis method fusing cognitive migration, and belongs to the field of education informatization. The method comprises the following steps: cleaning and preprocessing collected data; performing word embedding on an unstructured teaching evaluation text by using a BERT language model, inputting the unstructured teaching evaluation text into a bidirectional GRU network for learning, and outputting context hidden memory information of the text; the method comprises the following steps: modeling historical practice records of students by using a neurocognitive diagnosis model, and obtaining personalized cognitive competence vectors of the students as prior knowledge characterization; the extracted text hidden memory information and the prior knowledge information are fused into a cognitive migration matrix, and the prior knowledge is migrated into the text memory through an attention mechanism, so that the real emotional characteristics contained in the text are enhanced. According to the method, sentiment classification can be accurately carried out on the teaching evaluation text carrying the conflicting sentiment features, and the problem of sentiment misclassification caused by existence of the conflicting sentiment features in teaching evaluation is solved.

Interactive software applications designed to assess a combination of behavioral neuro-physiological characteristics of a user to determine an effect a substance is currently having on the user. In some examples the effect of the substance may be assessed to identify a cognitive impairment caused by a substance and determine the type of substance(s) likely causing the impairment. In some examples the effect of the substance may be assessed to determine a recommended dosage and/or a standard impairing dose threshold for a particular substance.

The invention provides methods and related compositions for preventing neurocognitive decline associated with chronic stress, age, and neurodegenerative diseases. The methods described here are based upon the use of alpha5-GABAA receptor agonists to slow or prevent deleterious morphological changes in dendrites of the hippocampus and prefrontal cortex, which eventually manifest in functional decline and the neurocognitive deficits.

Disclosed are methods of enhancing neurocognitive function by administering of American Ginseng. Preferred dosages in the range of 5 to 50 mg total genosides enhance cognitive function—including, improvement of working memory (WM) performance, attentional performance (e.g., Choice Reaction Time accuracy), and calmness.

The invention relates to a measurement system for the repeatable measurement of response time profiles in complex neurocognitive tasks. The measuring system comprises: a measuring body; at least one force source; at least one holding device; at least one trigger unit; at least one first sensor unit for acceleration measurement; at least one second sensor unit; at least one interface for data transmission; and at least one data processing unit. The invention likewise relates to a method for quantifying the reaction time, in which a measuring system is used. Therefore, the artificial influence during the test implementation can be avoided as much as possible. By transferring data processing, the measurement system is able to construct an independently increasing and anonymous data basis that improves accuracy through its continuously increasing amount of data. Conclusions on potentially risky changes in response time can thus also be achieved until a neurodegenerative disease is indicated and/or identified.

A medical rehabilitation device for clinically rehabilitating individuals suffering from medical conditions affecting the vestibular ocular system, and other neurocognitive functions. The rehabilitation device includes a support base having an elongate slot, and a plurality of arms adjustably attached to the support base via the elongated slot, where each arm includes a magnetic strip for selectively positioning visual targets thereon to solicit patient recognition of colors and positions of the visual targets during both vestibular ocular reflex, and other neurocognitive exercises. Each arm and the support base includes measurement markings extending along the top longitudinal surface of each arm adjacent the magnetic strips and along the elongate slot, respectively, to provide measured and objective charted indicators for vestibular ocular reflex and other neurocognitive functions over time. The arms are adjustable in horizontal, vertical, and diagonal positions to selectively adjust the difficulty of the exercises in a plane of vision.

According to an existing cognitive diagnosis model, manually designed functions are generally used for mining the exercise process of students, and the functions are generally simple and cannot well capture the complex relation between the students and exercises, so that the diagnosis effect is affected. The invention provides an enhanced neural cognitive diagnosis (ENeuralCD) model on the basis of a neural cognitive diagnosis (NeuralCD) framework, and the enhanced neural cognitive diagnosis (ENeuralCD) model is provided on the basis of the neural cognitive diagnosis (NeuralCD) framework. The model not only considers the influence of the importance (namely the importance degree of the knowledge points) factors of the knowledge points examined by the test questions on the diagnosis effect, but also considers the influence of the knowledge point proficiency degree of students and the knowledge point difficulty of the test questions on the importance degree of answer prediction on the diagnosis effect; and the fitting degree of the complex relationship between the student and the exercises is improved, so that the diagnosis effect is improved. According to the method, a real data set is compared with an existing typical model, and it is proved that the model has a good diagnosis effect and interpretability.

The invention provides a drug for treating hypothyroidism. The drug is suitable for being used by a hypothyroidism patient who is exactly diagnosed in clinic and then subjected to levothyroxine sodium treatment for three months, but has no significant neurocognitive impairment improvement effect, and the patient orally takes donepezil hydrochloride tablets with the dosage of 5 mg every day. The drug is donepezil hydrochloride, can enhance function exertion of cholinergic nerves, reversibly inhibit hydrolysis of acetylcholin esterase on acetylcholine, increase the concentration of acetylcholine in the brain and promote recovery of related damaged synaptic proteins such as munc-18 and syt-1 in the brain, is more beneficial for recovery of a neurocognitive function of the patient, overcomes the defect that neurocognitive impairment cannot be completely recovered through traditional levothyroxine sodium replacement treatment and achieves the purpose of better treating the hypothyroidism.

The invention provides a neural network model reference neural cognitive mechanism and machine learning mathematical method, and relates to the field of machine learning. The method comprises the following steps: S1, establishing a sample library for sample information, storing the sample library, generating adversarial samples through a fast gradient symbol method, and dividing the adversarial samples into a training set and a test set; S2, enhancing the migration ability from the adversarial sample library to the training set through lifelong continuous migration learning; S3, connecting a recurrent neural network through a convolutional neural network, and then connecting a BP neural network and a naive Bayes algorithm to establish a neural network model; and S4, classifying the target information in the adversarial sample library to form a data table. The adversarial samples are generated through the fast gradient symbol method, videos, images and texts are combined, real scene dialogues, dialogues with images and text expression are more specific, the artificial intelligence application range is widened, the observation thinking and expression ability is improved, and generalization is improved through different structures.

The invention belongs to the field of biomedicine, and particularly relates to a schizophrenia diagnosis system and application thereof. In particular, the system includes a computing device that diagnoses schizophrenia based on neurocognitive features and/or electrophysiological features. The neurocognitive features are measured through an RBANS or Stroop test method, and the electrophysiological features are obtained through analysis after electroencephalogram detection.