Abstract: Disclosed are systems and methods for managing testing unit latency and measurement uncertainty in computer-based stimulus-response tests. An estimated latency LE and an associated measurement uncertainty are determined as characteristics of a particular testing unit. LE is used as offset for all measurements taken on the testing unit, and results treated subject to the characteristic measurement uncertainty when determining test-taker performance. Estimated actual response times RTE are processed subject to a confidence value determined from the uncertainty. Uncertainty propagation determines test metrics involving a plurality of estimated actual response times RTE, where cumulative uncertainty is reported as a confidence rating in the metric. Overall test results (e.g., pass vs. fail) based on one or more metrics are also reported according to a confidence rating associated with the cumulative uncertainty propagated through the relevant metrics.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Disclosed are systems and methods for managing testing unit latency and measurement uncertainty in computer-based stimulus-response tests. An estimated latency LE and an associated measurement uncertainty are determined as characteristics of a particular testing unit. LE is used as offset for all measurements taken on the testing unit, and results treated subject to the characteristic measurement uncertainty when determining test-taker performance. Estimated actual response times RTE are processed subject to a confidence value determined from the uncertainty. Uncertainty propagation determines test metrics involving a plurality of estimated actual response times RTE, where cumulative uncertainty is reported as a confidence rating in the metric. Overall test results (e.g., pass vs. fail) based on one or more metrics are also reported according to a confidence rating associated with the cumulative uncertainty propagated through the relevant metrics.

Abstract: 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.

Abstract: 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.