Patent application number | Description | Published |
20120221895 | SYSTEMS AND METHODS FOR COMPETITIVE STIMULUS-RESPONSE TEST SCORING - Systems and methods for competitively scoring a stimulus-response test are disclosed. Competitive scoring may be based upon: i) a combination of response time and response type (e.g., false start, coincident false start, fast, slow, lapse, timeout, etc.); ii) response time and response latency correction data (e.g., a latency correction parameter corresponding to the test-taker's test system); and iii) a composite score metric comprising any function, rule of categorization, classification system, scoring system and/or the like that can be applied to at least two stimulus-response rounds of one or more test takers to determine a score for each test-taker. | 08-30-2012 |
20120232414 | COMPOSITE HUMAN PHYSIOLOGICAL STRESS INDEX BASED ON HEART BEAT AND SLEEP AND/OR ACTIVITY HISTORY DATA INCLUDING ACTIGRAPHY - Systems and methods are provided for providing a composite stress index representing a quantified stress level that an individual may be experiencing or may have experienced during a time interval of interest. The composite stress index is determined based on a combination of heart beat data representative of cardiac activity of the individual during the time interval of interest and one or both of: sleep history data comprising one or more sleep onset times and one or more awakening times during the time interval of interest; and physical activity history data representative of gross motor activity of the individual during the time interval of interest. | 09-13-2012 |
20120278022 | SYSTEMS AND METHODS FOR LATENCY AND MEASUREMENT UNCERTAINTY MANAGEMENT IN STIMULUS-RESPONSE TESTS - Disclosed are systems and methods for managing testing unit latency and measurement uncertainty in computer-based stimulus-response tests. An estimated latency L | 11-01-2012 |
20120329020 | SYSTEMS AND METHODS FOR PRESONALIZED FATIGUE EDUCATION AND RISK MANAGEMENT - A method is provided for ascertaining personalized education information related to one or more fatigue-related individual traits of a subject. The method involves: receiving first input data indicative of an expression of one or more fatigue-related individual traits of the subject; estimating trait values for the one or more fatigue-related individual traits, wherein estimating the trait values comprises: using the first input data and a fatigue model, which relates a fatigue level of the subject to a set of model parameters, to estimate values for the set of model parameters; and evaluating one or more trait-estimation functions using the estimated values for the set of model parameters; and determining personalized education information about the one or more fatigue-related individual traits of the subject based on the estimated trait values. | 12-27-2012 |
20130053656 | PHYSIOLOGICAL AND NEUROBEHAVIORAL STATUS MONITORING - A system and methods of use are disclosed for monitoring the neurobehavioral and physiological status of one or more individuals across a distributed network, the system comprising, at least in part, and according to alternative embodiments, i) a physiological sensor capable of measuring patient movement; ii) additional physiological sensors; iii) a wireless controller for monitoring polling cycles and power consumption ratings; iv) an administrative user interface for executing various executive control functions; and v) a patient interface capable of receiving input, providing output, and, optionally, administering one or more neurobehavioral tests. | 02-28-2013 |
Patent application number | Description | Published |
20100130833 | SYSTEM AND METHOD FOR CONTROL OF A SUBJECT'S CIRCADIAN CYCLE - Aspects of the invention provide systems and methods for controllably adjusting the circadian pacemaker cycle of a subject using light (or other stimulus) through application of model-based predictive control techniques. This approach allows the use of closed-loop feedback to compensate for modeling errors, unknown initial conditions and disturbances. It also allows an optimal level of light (or other stimulus) to be generated based on minimization of a cost function. The cost function may incorporate a term associated with tracking errors and a term associated with the amount of light used. The tracking function may be minimized subject to one or more constraints which may include a minimum and maximum amount of light (or other stimulus). | 05-27-2010 |
20100311023 | SYSTEMS AMD METHODS FOR EVALUATING NEUROBEHAVIOURAL PERFORMANCE FROM REACTION TIME TESTS - Method are provided for evaluating reaction time data obtained from a stimulus-response testing system. One exemplary method comprises: obtaining reaction time data, the reaction time data comprising a plurality of reaction times, each reaction time comprising an estimate of a time required for a subject to respond to a corresponding stimulus event; assigning a weight to each reaction time in the reaction time data in accordance with a weighting function, the weighting function comprising a rule that defines a mapping between reaction times and corresponding weights; and determining a weighted reaction time metric based at least in part on a sum of the weights assigned to the reaction times in the reaction time data. | 12-09-2010 |
20120068820 | Systems and Methods for Collecting Biometrically Verified Actigraphy Data - Systems and methods are provided to collect biometrically-verified actigraphy data, comprising: obtaining and processing a subject's measured biometric input from a biometric sensor to generate a current biometric signature of the subject; verifying the subject's identity by comparing the current biometric signature to one previously obtained from a database and evaluating a proximity metric of the current biometric signature of the subject to the previously obtained biometric signature from the database; if the subject passes identity verification, obtaining actigraphy data from an actigraphy sensor worn by the subject; at one or more times while obtaining the actigraphy data, repeating the steps of obtaining and processing a subject's measured biometric input from a biometric sensor to generate a current biometric signature of the subject, and verifying the identity of the subject to ensure that the identity of the subject passes the identity verification at the one or more times. | 03-22-2012 |
20120203464 | NORMALIZED CONTEXTUAL PERFORMANCE METRIC FOR THE ASSESSMENT OF FATIGUE-RELATED INCIDENTS - A normalized contextual performance metric quantifies the susceptibility of fatigue-related risk in a fatigue environment with activities conducted within a fatigue level range of interest. Fatigue incidents are quantified by one of a plurality of values associated with fatigue-incident measurement. Activities are quantified by one of a plurality of values associated with activity measurement. A normalized contextual performance metric is determined by identifying a fatigue level range of interest, summing all values of incidents occurring at the fatigue level range of interest, summing all values for relevant activities occurring at the fatigue level range of interest, and then dividing the first sum by the second. The normalized contextual performance metric thereby allows operational managers to assess risk of fatigue incidents by monitoring activities and fatigue levels within the fatigue environment. | 08-09-2012 |
20120316845 | Systems and Methods for Distributed Calculation of Fatigue-Risk Prediction and Optimization - Distributed computing methods and systems are disclosed, wherein intensive fatigue-risk calculations are partitioned according to available computing resources, parameters of the fatigue-risk calculation, time-sensitive user demands, and the like. Methods are disclosed wherein execution-cost functions are used to allocate accessible computing resources. Additional methods include partitioning calculation tasks by user-prioritized needs and by general mathematical features of the calculations themselves. Included herein are methods to calculate only prediction-maximum likelihoods instead of full probability distributions, to calculate prediction likelihoods using Bayesian prediction techniques (instead of full re-tabulation of all data), to collate interim results of fatigue-risk calculations where serial results can be appropriately collated (e.g., serial time-slice independence of the cumulative task involved), to use simplified (e.g., linear, first-order) approximations of richer models of fatigue prediction, to assign user-identified priorities to each computational task within a plurality of such requests, and the like. | 12-13-2012 |
20130018592 | Systems and Methods for Inter-Population Neurobehavioral Status Assessment Using Profiles Adjustable to Testing Conditions - Systems and methods for inter-population assessment of neurobehavioral status employ neurobehavioral profiles to accommodate differing external conditions. Population profiles and external condition data are provided to a neurobehavioral performance model to determine neurobehavioral status under external conditions. Alternatively, neurobehavioral performance values may be retrieved from the profile when such values are stored in conjunction with external condition data. Comparisons of the resulting neurobehavioral status(es) are then determined, and may comprise without limitation one or more of: performance deltas, statistical parameter differences, rankings, above/below performance threshold determinations, pass/fail indicators, and countermeasure recommendations. Populations may comprise pluralities, individuals and empty (“null”) sets. Comparisons may also pertain to one or more relevant times of interest and one or more sets of testing conditions. Fields of application include (without limitation) operational and military fatigue management, medical diagnosis and treatment, fatigue countermeasure training and individualization, sleep research, academic and scientific research, and/or the like. | 01-17-2013 |
20130054215 | SYSTEMS AND METHODS FOR APNEA-ADJUSTED NEUROBEHAVIORAL PERFORMANCE PREDICTION AND ASSESSMENT - Human neurobehavioral performance prediction systems and methods are disclosed in which disrupted sleep patterns, such as (without limitation) sleep fracturing due to apnea, are accounted for. Biomathematical models are used to predict neurobehavioral performance based on disrupted sleep using a sleep function modified in accordance with apnea-severity data to account for loss in sleep efficiency. Risk of diminished neurobehavioral performance can then be monitored in affected individuals. Compliance with treatment regimens, adjustments to apnea severity assessment, corrections to predicted future sleep schedules, and/or individualization of neurobehavioral performance model parameters can also be achieved based upon a comparison of actual and model-predicted performance levels. | 02-28-2013 |
Patent application number | Description | Published |
20130132029 | SYSTEMS AND METHODS FOR APPLYING DATA MAPPING TECHNIQUES TO ASSESSMENT AND DIAGNOSTIC TEST RESULTS - Systems and methods for analyzing the results of a diagnostic-assessment test result of a subject with respect to those of a comparison population or subpopulation of interest are disclosed. A first set of testing conditions and/or demographic characteristics and their corresponding values are used optionally to identify a subpopulation of interest and select appropriate data from a general-population database. A second (and optionally a third) set of testing conditions and/or demographic characteristics (which may optionally be identical to the first) are then used to project either or both of the subject's test score or the test scores for the population or optional subpopulation of interest to a common basis of testing conditions and/or demographic characteristics using one or more projection functions specific to the testing condition and/or demographic characteristic, as applied to a particular test. A metric of comparison is then determined for the testing subject with this projected data. | 05-23-2013 |
20130282646 | Methods & Systems for Circadian Physiology Predictions - Systems and methods are provided for predicting a circadian state of an individual. The methods comprise: providing a model representative of the response of the circadian state to light stimulus, the model comprising at least one model variable representative of a probability distribution function (PDF) of a phase offset of the circadian state of the individual; and using the model to estimate an updated PDF of the phase offset, wherein using the model to estimate the updated PDF of the phase offset comprises performing a Bayesian estimation process commencing with an initial PDF of the phase offset and iterating toward the updated PDF of the phase offset. | 10-24-2013 |
20140025309 | CALIBRATION SYSTEM WITH HUMAN-LIKE RESPONSE ACTUATOR - Methods are provided for calibrating stimulus-response test systems which include a stimulus output device for delivering a stimulus to a subject, and a response input device for receiving a response from the subject, said response input device comprising a response actuator that is capable of responding in human-like fashion to the stimulus-response test using variable motion control signals comprising one or more time offsets and one or more activation values, said activation values comprising variable speeds and forces for the response motion. | 01-23-2014 |
20140297600 | Bayesian Sleep Fusion - Systems and methods to estimate a subject's sleep status over time by applying data-fusion algorithms to sleep data sets collected from multiple sleep data sources are disclosed. Embodiments employ Bayes' Theorem to combine sleep data from actigraphy, sleep diary, direct observation, sleep schedules, work schedules, performance tests, neurobehavioral tests and/or the like. Particular embodiments assign data error characteristics to each source, determine likelihoods of correct reporting of sleep status from each source, and apply Bayesian analysis to each source-specific likelihood to determine an overall sleep status estimate. Data error characteristics may account, without limitation, for data insertion errors, data deletion errors, and sleep timing errors. Heuristics may be also used to correct common errors found within collected sleep data and/or to infer sleep status from atypical sources of sleep data. Particular embodiments may also use the combined sleep status estimate for fatigue prediction utilizing various biomathematical fatigue models. | 10-02-2014 |
20150045986 | Systems and Methods for Determining Driver Fatigue Level from Lane Variability and Geographic Location - Systems and methods are disclosed for determining a fatigue level of a human operator of a motor vehicle based upon lane variability data and geographic position data of the vehicle, used either alone or in combination with other data such as (without limitation) vehicle operational data, vehicle environment data, road segments, and/or the like. | 02-12-2015 |