Pulsar Informatics, Inc.

University of Pennsylvania

Pulsaw Informatics, Inc.

Kevin Gar Wah Kan

Daniel Joseph Mollicone

Christopher Grey Mott

Michael D Stubna

Disclosed are systems and methods for managing testing unit latency and measurement uncertainty in computer-based stimulus-response tests. An estimated latency Land an associated measurement uncertainty are determined as characteristics of a particular testing unit. Lis 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 RTare processed subject to a confidence value determined from the uncertainty. Uncertainty propagation determines test metrics involving a plurality of estimated actual response times RT, 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. Various calibration techniques are disclosed for determining the latency estimate Land associated uncertainty values.

Systems and methods for latency and measurement uncertainty management in stimulus-response 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.

Systems and methods for evaluating neurobehavioural performance from reaction time tests

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.

Normalized contextual performance metric for the assessment of fatigue-related incidents

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.

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Philadelphia, PA, United States of America

Kevin Gar Wah Kan