54 results about "Cognitive test" patented technology

Methods, systems, and apparatus, including medium-encoded computer program products, for detection of cheating on a cognitive test. In one aspect, a method includes receiving first information concerning a person, the first information specifying the person's responses, and lack thereof, for items of a cognitive test administered to the person, wherein the cognitive test includes multiple item-recall trials used to assess cognitive impairment; analyzing the first information using a classification algorithm trained on second information concerning a group of people to whom the cognitive test has been administered, the classification algorithm generated in accordance with a first part and a second part, the first part distinguishing between cheaters and non-cheaters, and the second part distinguishing between impaired cheaters and non-impaired cheaters; and identifying, based on the analyzing, the person as a cheater requiring a verification test to confirm an initial result of the cognitive test.

The present invention is a cognitive test assessment tool and system incorporating either a single test or a test battery and a method of utilizing said tool and system. The tool may be compiled and ordered to addresses the particular assessment needs of patients groups determined in accordance with a diagnosis. The tool may incorporate an electronic device operable to provide elements of the test battery and to store information and / or transfer information to a storage means. Data regarding the process of the test battery, as well as that pertaining to the results of the test battery, can be captured in real time and stored locally and / or remotely. Said data may be assessed and may be utilized for reporting purposes. The data may be transferred to, or accessed by, other institutions in a format that is readable at the remote institutions and is consistent with circle of care regulations.

The present invention is a system and method to collect and analyze data produced through biometric and psychometric tasks on interactive computing devices. The collected biometric data can be used to quantify motor skills and to generate statistics that correlate with or predict ability in other functional domains. The biometric data tasks and data collection can be incidental to user interaction with a computing device using a touchpad or other input device—such as users drawing lines to connecting screen elements while using the user interface of an application on a computing device.

A method of preventing the headache phase of migraine in a human comprises administration of a 5HT1 receptor agonist or administration of an over-the-counter or nonprescription drug to said human exhibiting prodrome symptoms of migraine. Suitably, the method comprises administration of a migraine headache phase-preventing effective amount of the 5HT1 agonist or over-the-counter or nonprescription drug. There is disclosed a preemptive prophylaxis migraine method using the following cognitive tests: Simple Reaction Time; Running Memory Continuous Performance Task; Matching to Sample; Mathematical Processing Task; and interpreting the results as a percent of baseline indicator of need for prophylaxis.

A method of preventing the headache phase of migraine in a human comprises administration of an anti-convulsant medication to said human exhibiting prodrome symptoms of migraine. Suitably, the method comprises administration of a migraine headache phase-preventing effective amount of the anti-convulsant. There is also disclosed a pharmaceutical composition for the prevention of the headache phase of a migraine containing an anti-convulsant as an active ingredient. There is also disclosed a method of determining prodromal symptoms of migraine using the following cognitive tests: Simple Reaction Time (103); Running Memory Continuous Performance Task (104); Matching to Sample (105); Mathematical Processing Task (106); and interpreting the results as a percent of baseline indicator of need for prophylaxis.

A method for neurological analysis and treatment is described. In one embodiment, a server sends a request to a wearable device for sensor data of a patient. The server receives sensor data from the wearable device, and sends instructions to the wearable device to present a cognitive test based on the sensor data. The server receives from the wearable device, results of the cognitive test, compares the results against a baseline, and determines an assessment of the user. A notification may be sent to the wearable device based on the assessment. A wearable device for use in the analysis and treatment is also described.

A data processing method comprises, under program control of test instructions programmed in a mobile computing device, generating and causing displaying on a display device of the mobile computing device, a prompt associated with a first cognitive relating to a cognitive test of a feature of a human cognitive domain, the prompt comprising a prompt image of spatially positioned display objects; in conjunction with causing displaying the prompt, reading and storing a first time stamp value indicative of a first time when the prompt is first displayed on the display device of the mobile computing device, the system clock continuously generating signals representing a current time that may be queried programmatically by the application; displaying the prompt for a specified time period using the system clock; in response to displaying the prompt for the specified time period, capturing response input at the mobile computing device, the response input representing movements to recreate the prompt image of the spatially positioned display objects, the movements comprising shapes, icons, characters, and lines, or a combination thereof, that are detected by the display device; detecting a first response input via the display device of the mobile computing device, the first response input representing a first response to the prompt; in conjunction with detecting the first response input, reading and storing a second time stamp value indicative of a second time when the first response input is first detected; repeating the steps of detecting and reading and storing the first and second time stamp values for a plurality of subsequent prompts relating to the same test or the same cognitive task to yield an association of a plurality of different response values with a plurality of respective different time stamp values, the plurality of different response values representing a plurality of respective different response input; and by test analysis instructions of a server computer, based upon the plurality of different response values and the plurality of respective different time stamp values, determining a cognitive domain score value representing the feature, or information relating to the feature, of the human cognitive domain.

The invention provides a cognitive impairment training system based on virtual reality, which comprises a training system for training various cognitive functions of a user, the training system comprises a main control module, a scene interaction module and an input and output module, and the main control module comprises a cognitive training module and a data analysis module. The cognitive training module is used for providing a virtual reality scene for guiding the user to complete various tasks according to the training scheme so that the user can carry out corresponding one or more cognitive function training; the scene interaction module is used for presenting a virtual reality scene containing various tasks and receiving task execution data of a user; the data analysis module is used for giving a training result according to the task execution data; and the input and output module is used for a user to input basic information and output a training result. According to the scheme, a virtual reality technology is adopted, and a life scene familiar to human beings can be realistically simulated through perception simulation of visual sense and auditory sense, so that a cognitive test problem is more stereoscopic and vivid and is close to reality.

The invention discloses a four-factor risk prediction method for a clinically high-risk group of psychiatric patients. By means of structured interview clinical data and MATRICS cognitive test batteryof prepsychotic symptoms, clinical data and cognitive data are quantified; between-group variance analysis is conducted according to whether or not an onset exists according to cohort's 2-year follow-up visit results, and14 variations with significant differences are selected; by means of principal component analysis in an exploratory factor analysis method, and by conducting factor-loaded orthogonal varimax rotation on the 14 variables, four coincidence factors are extracted; a regression model is built by means of four factors extracted through factor analysis, the built model is repeated through Bootstrap, and the stability of a prediction model is evaluated; 100 cases of a psychiatric high-risk cohort are collected and subjected to follow-up visit for two years, the validity of modelrisk prediction is verified. According to the risk degree accuracy worked out by the prediction model, application in Chinese population is significantly superior to the prior art, and the risk can besubjected to systematic analysis and precise control conveniently.