51 results about "Cognitive test" patented technology

The invention relates to the technical field of medical rehabilitation, and discloses a vestibular function and cognitive function rehabilitation training system and method based on virtual reality, and the rehabilitation training system comprises a hardware platform, a software platform and a server. The hardware platform comprises VR interaction equipment, a head motion tracking sensor and calculation and display equipment; the software platform is integrated with a user management module, a visual stimulation module, a vestibular rehabilitation training module, a cognitive evaluation and training module, a dynamic visual acuity evaluation module and a data management and analysis module. By combining black and white chess grid visual stimulation, standardized vestibular rehabilitation tasks, spatial cognitive testing and DVA objective monitoring, synchronous evaluation and personalized collaborative intervention of vestibular functions and cognitive functions of dizzy patients are realized. According to the method, the problems of boring traditional rehabilitation means, subjective evaluation and lack of quantitative feedback are solved, and the scientificity, interestingness and curative effect testability of rehabilitation training are remarkably improved.

An exemplary system and method are disclosed that is configured to detect cognitive impairment (e.g., early cognitive impairment) or assess cognitive function by analyzing, via machine learning and artificial intelligence analysis, behavioral metadata collected from a smart app during the course when a subject is using a cognitive test instrument for cognitive tests that incorporate motor activity (e.g., drawing or writing). The machine learning and artificial intelligence analysis can execute features associated with the test taker's metadata (e.g., time spent on task or questions, changing answers, referring back to the previous question), drawing qualities (e.g., line straightness, completeness), among others.

The invention discloses a cognitive function evaluation method and device, equipment, a medium and a product, and relates to the technical field of computers.The method comprises the steps that various forms of questions in cognitive tests are classified, and a question set corresponding to each cognitive function category is obtained; determining the importance of each question in each form of cognitive test according to the data set; the data set comprises the score of each question when various forms of cognitive tests are respectively performed on each subject; determining an optimal question set corresponding to the cognitive function category according to the importance of each question in a question set corresponding to the cognitive function category; testing the testee according to the preferable question set corresponding to each cognitive function category to obtain a score of each question in the test question set by the testee; and obtaining an evaluation result of the cognitive function of the testee according to the score of each question in the test question set by the testee. According to the method and the device, the cognitive function can be evaluated conveniently and quickly.

For use in transcranial photobiomodulation (PBM) or brain wave or heart rate variability (HRV) biofeedback and using event-related potential (ERP) and induced and induced EEG oscillation (ERO) measurements, devices and methods for analyzing and monitoring electroencephalogram (EEG) electrical activity evoked during, prior to, and / or after a neurocognitive test of a human user to stimulate and modulate brain activity. An electroencephalogram (EEG) and photo-biometric modulation (PBM) apparatus in the form of a wearable device with headphones is described for stimulating the brain with PBM or monitoring and evaluating electrical activity generated by the brain of a person during stimulation using biofeedback training and simultaneous occurrence of EEG, also described are methods for testing the cognitive and physiological state of a person during a cognitive test using the provided devices. The PBM light is pulsed to stimulate an increase in target brain activity by providing additional energy to the mitochondria and activating other photosensitive brain processes. PBM stimulation is combined with EEG sensors for detecting EEG responses during cognitive testing using event related potentials (ERPs) and induced and induced EEG oscillations (EROs) for evaluating cognitive status and therapeutic function outcomes of a user.

The invention discloses an auditory cognitive impairment evaluation and screening system, which belongs to the technical field of data analysis, and specifically comprises the following steps: setting basic test parameters and initial stimulation parameters, and synchronously acquiring voice, eye movement trajectory data and brain wave signals by combining space-time anchoring marks to form a multi-modal data set with a timestamp; a multi-stage cognitive test is carried out in an adaptive test engine, and stimulation parameters are dynamically adjusted by using a forgetting curve prediction algorithm according to real-time accuracy and response time; based on the adjusted stimulation parameters, performing time domain alignment on the multi-modal data set by adopting a dynamic time warping algorithm and taking a space-time anchoring mark as a benchmark, extracting features and combining the features into a cross-modal feature vector; and the cross-modal feature vectors are input into a pre-trained LSTM-decision tree fusion diagnosis model, and a quantitative evaluation report of obstacle type and degree grading is output, so that the accuracy of cognitive disorder diagnosis is improved.

A method for adjusting a cognitive test routine as a function of detection of athletic impairment of a patient during execution of the cognitive test routine. In particular, the workflow for administering a neuropsychological assessment including one or more cognitive tests is adjusted according to the detection of athletic impairment.

A system for evaluating cognitive function is disclosed herein. In some embodiments, the system includes a computing device with a processor; and a visual display device. The computing device is operatively coupled to said visual display device, said computing device being programmed to generate and display a cognitive test on said visual display device for assessing a mental ability of said patient, said cognitive test comprising a plurality of different images for said patient to identify, said cognitive test assessing the mental ability of said patient that is suspected of having sustained a traumatic brain injury (TBI). Also, in some embodiments, the system is in a form of a telemedicine system that includes a local control system disposed at a first location and a central control system disposed at a remote site.

Devices and methods for stimulation and modulation of brain activity using transcranial photobiomodulation (PBM) or brainwave or heart rate variability (HRV) biofeedback and analyzing and monitoring electroencephalographic (EEG) electrical activity evoked during, before and / or after neurocognitive tests using event-related potential (ERP) and evoked and induced EEG oscillations (ERO) measures in human users. Electroencephalography (EEG) and photobiomodulation (PBM) devices in the form of wearable apparatus with headphones for stimulating brain with PBM or using biofeedback training with concurrent EEG monitoring and evaluation of electrical activity generated by a person's brain during stimulation are described, along with description of methods for testing person's cognitive and physiological state during cognitive tests using the provided devices. PBM light is pulsed to stimulate an increase in targeted brain activity by providing additional energy to mitochondria and activating other photosensitive brain processes. PBM stimulation is combined with EEG sensors for detecting EEG responses during cognitive tests using event-related potentials (ERP) and evoked and induced EEG oscillations (ERO) for evaluation of user's cognitive status and treatment of functional outcomes.

Disclosed in the present application are a cognitive test method, a cognitive test apparatus, an electronic device and a computer-readable storage medium. The method comprises: on the basis of an answer of a user to a cognitive test question, acquiring data to be evaluated, wherein the data to be evaluated comprises: vital sign data of the user, video data containing face information of the user and audio data containing an answer audio of the user; extracting face key point data contained in the video data; performing answer discrimination according to the face key point data and the audio data to obtain a voice discrimination result of a cognitive test; and performing state analysis according to the face key point data, an intermediate output of the answer discrimination and the vital sign data to obtain a state analysis result of the cognitive test. The solution of the present application can achieve whole-process evaluation of specialized voice interaction for cognitive tests.

The invention discloses a multi-modal feature fusion prediction method and system for early screening of Alzheimer's disease, and belongs to the technical field of brain disease prediction. The method comprises the following steps: acquiring multi-dimensional data containing cognitive test scores, brain image scanning results and biomarker concentration levels from a patient record database, and performing standardization processing to obtain a multi-dimensional data set in a unified format; key feature vectors are extracted through a dimensionality reduction analysis method to capture the covariant relation between cognitive test scores and brain image changes; when the reduction range of the cognitive test score exceeds a preset threshold value and the brain image displays an atrophy sign, a classification model is constructed through an integrated learning method to preliminarily classify abnormal signals; and fusing the biomarker concentration level to obtain an abnormal signal vector. According to the method, the accuracy and efficiency of early screening of brain diseases such as Alzheimer's disease are remarkably improved through accurate evaluation of key parts of the human brain, such as hippocampus.

The invention discloses a cognitive evaluation system and method based on a single-class implicit association test. The cognitive evaluation system comprises a feature screening module, a cognitive test module and a cognitive evaluation module. The feature screening module is used for screening out key abnormal words and key psychological difference groups. And the cognitive test module carries out cognitive test by enabling the subject to recognize the category labels of the stimulation words, and inputs a test result into the cognitive evaluation module to obtain cognitive evaluation of the subject. The cognition test module comprises an internal implicit impression test module, a self-graphic test module and an internal implicit impression recognition test module; the implicit implicit impression test module takes the key psychological difference group and the key abnormal word as stimulation words to carry out cognitive test; the self graph type test module takes the key psychological difference group and the identity word describing the self as stimulation words to carry out cognitive test; and the internal stealth part recognition test module takes identity words and key abnormal words as stimulus words to carry out cognitive test.

The present application relates to the field of mental fatigue model, and aims to solve the problems of long cycle and complex detection method in establishing mental fatigue model, and provides a method for constructing zebrafish mental fatigue model and application thereof.The method for constructing zebrafish mental fatigue model is as follows: 2-5 dpf zebrafish is given 100% white light and dark alternating stroboscopic cycle stimulation for 0-24 h; then cognitive response behavior analysis is carried out on the zebrafish.The present application constructs a zebrafish model of mental (brain) fatigue induced by white light stroboscopic stimulation, and explores a mental (brain) fatigue model induced by physical stimulation to simulate the environment and life and learning pressure in life.The present application also provides application of the zebrafish mental fatigue model constructed by the method, which is used for evaluating the anti-mental fatigue efficacy of drugs, health foods, foods or medical devices; and is used for mental (brain) fatigue cognitive test, memory test, learning test, reaction ability test and motor ability test of zebrafish.

The invention provides a data processing system, method and device based on micro-macro relation construction and a medium, and relates to the technical field of neural networks, the data processing system comprises a micro relation construction module, a macro relation construction module, a multi-scale image convolution module and a fusion module; the microscopic relation construction module is used for capturing the synchronous relation of different target objects under the whole brain scale; the macroscopic relationship construction module is used for capturing a pairwise relationship and a subtype relationship among different target objects; the multi-scale image convolution module is used for respectively carrying out convolution learning on the synchronous relation, the pairwise relation and the subtype relation to obtain preliminary representation information; and the fusion module is used for fusing different initial representation information into target representation information so as to classify cognitive competence. The method comprehensively considers and analyzes the microcosmic angle and the macroscopic angle, optimizes the representation of the brain complex signal, improves the test accuracy, and provides a new tool for the cognitive test.

The present application relates to the technical field of cognitive impairment rehabilitation, in particular to a brain cognitive recovery training scheme analysis system and method for cognitive impairment, comprising five units of basic information acquisition, cognitive test execution, test report generation, norm updating and training scheme analysis, wherein the norm database is modeled in multiple dimensions according to age, educational background and medical history, a regional correction factor is introduced, data freshness is verified by means of blockchain storage, an adaptive sequence is generated for cognitive test, multi-modal data such as correct answer rate, touch screen trajectory and eye movement data are collected, time domain signal separation and denoising are performed, the training scheme analysis unit locates cognitive defects, matches the training module, monitors the brain electrical theta wave and P300 latency through biological feedback, dynamically adjusts the training intensity and frequency, promotes neural circuit reorganization and improves rehabilitation accuracy.

The invention discloses a multi-modal cognitive screening method and device based on a brain-computer interface and a galvanic skin bracelet. The device comprises a brain-computer interface module, a galvanic skin bracelet, a signal feature extraction module and a cognitive evaluation module. The brain-computer interface module is used for acquiring an electroencephalogram signal sequence when a user performs a cognitive test; the skin electric bracelet is used for acquiring a skin electric signal sequence when a user performs a cognitive test; the signal feature extraction module is used for performing feature extraction processing on the acquired electroencephalogram signal sequence and the acquired skin electrical signal sequence to obtain an electroencephalogram feature sequence and a skin electrical feature sequence; the cognitive assessment module is used for performing cognitive impairment assessment processing on the electroencephalogram feature sequence, the galvanic skin feature sequence, the skin electric signal sequence and the electroencephalogram signal sequence to obtain a cognitive impairment assessment result.

A computer-implemented system and method for delivering scalable precision education through cognitive testing and personalised curriculum generation. The system comprises a memory 114 storing large l

Devices and methods for analyzing and monitoring electroencephalographic (EEG) electrical activity evoked during neurocognitive tests using event-related potential (ERP) and evoked and induced EEG oscillations (ERO) measures in human users. Electroencephalography (EEG) devices in the form of wearable apparatus with headphones and cognitive test interface with concurrent EEG monitoring and evaluation of electrical activity generated by a person's brain during stimulation are described, along with description of methods for testing person's cognitive and physiological state during cognitive tests using the provided devices. EEG sensors for detecting EEG responses during cognitive tests using event-related potentials (ERP) and evoked and induced EEG oscillations (ERO) for evaluation of user's cognitive status and functional outcomes of treatment. Additionally, devices and sensors for monitoring heart rate, heart rate variability (HRV), electrocardiogram (EKG), and photoplethysmography (PPG), and analysis of evoked heart rate, HRV, and pulse volume responses during cognitive tests. The devices may be used to assess psychophysiological responses and assist users with monitoring mental performance, cognitive function, stress, anxiety, fatigue, mood, behavioral performance and mental focus and acuity.

The invention discloses a directional cognitive ability assessment method and device based on virtual reality. The system comprises a universal treadmill, a motion measurement module, a virtual reality helmet, an olfactory electroencephalogram module, a directional cognitive ability assessment module and a monitoring module. The universal treadmill, the motion measurement module, the virtual reality helmet and the monitoring module are connected with the directional cognitive ability evaluation module; the monitoring module is used for collecting and processing physiological signals of a user to obtain a collected information set; and the directional cognitive competence evaluation module is used for evaluating the motion track information of the legs of the user, feedback information of the directional cognitive test information and the like to obtain directional cognitive competence evaluation result information of the user. The universal treadmill is introduced, various psychological and physiological indexes of the user are collected while the user completes the virtual directional cross-country activity, measurement information capable of reflecting the real directional cognitive ability of the user is obtained, and it is guaranteed that the evaluation result is objective and accurate.

The application discloses a multi-modal low-rank adaptive cognitive function estimation method based on physiological-molecular phenotype, belongs to the technical field of cognitive function estimation, and first collects physiological-molecular phenotype, dynamic physiological signals and cognitive test time information of a subject in a plateau hypoxic environment, and constructs a 28-dimensional multi-modal input feature vector after preprocessing; then, a hybrid expert base model is pre-trained based on a source cognitive task with the largest data volume; finally, the base model parameters are frozen for a new target task, a LoRA low-rank adaptive technology is introduced, only a small number of parameters are trained to complete cross-task adaptation, and the cognitive task reaction time and accuracy are output to realize estimation. The application realizes unified estimation of eight types of core cognitive functions, has high migration efficiency, excellent estimation precision and stability, and can be accurately applied to real-time monitoring of cognitive functions of workers in a plateau hypoxic environment.

The invention discloses a cognition-emotion evaluation method and system based on a supernormal child core feature theoretical model. The method comprises the following steps: presenting test tasks to multiple users at a computer end; collecting correct rate data of the work memory ability, the logical reasoning ability, the spatial cognitive ability and the speech ability by utilizing a cognitive test task; collecting non-cognitive test data by using a standardized scale; combining empirical weights, machine learning feature importance and large-scale norm data to establish a fractal dimension and comprehensive total score calculation rule; training a supernormal child identification model by taking Webster child intelligence test and Rayleigh reasoning test results as effect criteria; behavior data of new users are collected, and evaluation system construction and the supernormal child identification model are optimized and iterated. According to the method, various forms of cognitive test, non-cognitive test, static test and dynamic test are combined, and machine learning is utilized to analyze accuracy and non-cognitive scale scores, so that cognitive and emotional characteristics associated with supernormal child identification are accurately mapped.

The invention provides a time series data exception identification and verification method and system oriented to cognitive testing, and relates to the technical field of data processing, and the method comprises the steps: collecting a time series data sample set; extracting time domain features and domain difference features from the original data based on the time sequence data sample set; performing multi-level anomaly recognition according to the time domain features and the domain difference features; and inputting the obtained anomaly detection result of each level into a meta classifier to carry out anomaly comprehensive analysis and confidence judgment at each time point, outputting an anomaly identification verification result, and carrying out verification result identification through the anomaly confidence. The technical problem that in the prior art, due to the fact that standardized cognitive testing depends on macroscopic summary indexes, subtle cognitive anomalies are masked, and then the confidence coefficient of a time series data anomaly recognition result is affected is solved, anomaly analysis is conducted through the multi-level anomaly features and input into the meta classifier, and the time series data anomaly recognition accuracy is improved. And the accuracy and the credibility of time series data exception identification are improved.

The invention relates to the technical field of artificial intelligence and psychological diagnosis, and particularly discloses a psychological health auxiliary diagnosis and intervention system and method based on multi-source data fusion, which ensure authority based on SCID-V and DSM-5 standards; diagnosis terms are automatically converted into a questioning mode suitable for the identity of an evaluated person, and the compliance and authenticity are improved; in combination with a subjective scale, an objective cognitive test and physiological index parameters, the diagnosis scientificity and accuracy are improved; outputting a disease possibility and an interpretable basis based on a machine learning / deep learning model; a graphical diagnosis report is generated and is convenient to understand; longitudinal effect evaluation after multiple evaluation and training is supported, and the method is suitable for scientific research and clinical tracking; localized deployment and privacy protection are supported, and medical data compliance is met.

A means for distinguishing subjects with subtle cognitive impairment in the context of a neuropsychological assessment which comprises a battery of cognitive tests. A first set of tests is administered which have a time-constraint or other cognitive demand parameter imposed. A second set of tests is administered for which the time constraint or other cognitive demand parameter is not imposed. Based on comparing or relating the scores between the two sets of tests, subtle cognitive impairment can be detected, based on a criterion that subjects with subtle cognitive impairment present with a greater disparity in these two sets of scores than do normal subjects.

The invention, which belongs to the technical field of medical artificial intelligence, discloses a multi-modal Transform-based early auxiliary diagnosis system for Alzheimer's disease, comprising a data acquisition module, a preprocessing module, a medical priori knowledge guiding module, a hierarchical feature extraction module, a hierarchical diagnosis module, a lightweight reasoning module and a diagnosis output module. According to the system, multi-modal data such as MRI images, cognitive tests and voice features are deeply fused through a hierarchical Transform architecture, a medical priori knowledge guidance model is introduced to pay attention to tiny changes of key brain areas such as hippocampus, ventricle and temporal lobe, and a lightweight reasoning module is adopted to support efficient operation of a basic medical terminal. A visual thermodynamic diagram is generated through the interpretability analysis module to enhance the interpretability of diagnosis, the accuracy of early detection of Alzheimer's disease is improved to 92%, the reasoning speed is improved by 3-5 times, and a key time window is provided for early intervention and treatment.

The invention discloses a multi-modal cognitive screening method and device based on a brain-computer interface and expression recognition. The device comprises a brain-computer interface module, an image acquisition module, a signal feature extraction module and a cognitive evaluation module. The brain-computer interface module is used for acquiring an electroencephalogram signal sequence when a user performs a cognitive test; the image acquisition module is used for acquiring a facial expression image set when a user performs a cognitive test; the signal feature extraction module is used for performing feature recognition extraction processing on the acquired electroencephalogram signal sequence and the facial expression image set to obtain an electroencephalogram feature sequence and an expression category sequence; and the cognitive assessment module is used for performing fusion assessment processing on the electroencephalogram feature sequence, the expression category sequence, the facial expression image set and the electroencephalogram signal sequence to obtain a cognitive impairment assessment result.

A means for distinguishing subjects with slight cognitive impairment in the context of neuropsychological assessment includes a set of cognitive tests. A first set of tests to which a temporal constraint or other cognitive demand parameter is applied is administered. A second set of tests is administered without temporal constraints or other cognitive demand parameters being administered. Based on comparing or correlating the scores between the two sets of tests, the slight cognitive impairment may be detected based on a criterion that a subject with the slight cognitive impairment has a greater difference in the two sets of scores than a normal subject.

A method for delivering electrical stimulation to alter a cognitive state of a user, the method comprising: monitoring a brain signal from the user via one or more intracranial electrodes implanted in the brain of the user while the user is presented with a stimulus; comparing the brain signal to a testing phase biomarker, wherein the testing phase biomarker is derived from a cognitive test performed on a contributor during a testing phase; delivering electrical stimulation to a brain of the user based on the comparing step to steer the brain of the user towards a high performance cognitive state.

The invention provides a cognitive evaluation method, system and device, a medium and a program product wherein the cognitive evaluation method comprises: obtaining test data of a test object, the test data comprising multi-source data generated by the test object in a cognitive test process; obtaining a fatigue index and a cognitive index of the test object based on the test data; and performing cognitive evaluation on the test object based on the fatigue index and the cognitive index. According to the method and the device, the test data of the test object is acquired, the test data comprises the multi-source data generated by the test object in the test process, and the fatigue index and the cognitive index of the test object can be further acquired based on the multi-source test data, so that the fatigue degree and the cognitive condition of the test object are acquired in real time; the test object is subjected to cognitive evaluation through the fatigue index and the cognitive index, dynamic adjustment of cognitive evaluation can be achieved, cognitive evaluation is more targeted, and real cognitive states of different individuals are accurately reflected.

The invention relates to the technical field of cognitive impairment rehabilitation, in particular to a human brain cognitive recovery training scheme analysis system and method for cognitive impairment, and the system comprises a basic information acquisition unit, a cognitive test execution unit, a test report generation unit, a norm updating unit and a training scheme analysis unit, a norm database performs multi-dimensional layered modeling according to age, education background and medical history, introduces a regionalized correction factor, stores an evidence through a block chain and verifies data freshness, generates an adaptive sequence through cognitive testing, collects answer accuracy, a touch screen track and eye movement data in a multi-modal manner, performs time domain signal separation and denoising, and trains a scheme analysis unit to position cognitive defects. The training module is matched, the incubation period of electroencephalogram theta waves and P300 is monitored through biological feedback, the training intensity and frequency are dynamically adjusted, neural circuit recombination is promoted, and rehabilitation accuracy is improved.

A computer-implemented method and system of cognitive measurements, providing a computer code to display a computer presentable object that is controllable by a user interface, the computer presentable object including a gaming part and a cognitive measurement part. The gaming part includes an infinite runner game, wherein an avatar is displayed on a constantly moving trail, which avatar is steerable by input from an input device of the computer. The cognitive measurement part is integrated with the gaming part. The cognitive measurement part is arranged to perform cognitive measurements comprising one or more standard cognitive tests. A cognitive performance report is generated based on a statistical model of the standard cognitive tests and based on results from the cognitive measurements obtained from the gaming object.