Pulsar Informatics, Inc. | Date: 2016-11-29
Systems and methods for analyzing the results of a stimulus-response 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 subjects 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, which may comprise assessing the subject with respect to the comparison population by determining one or more of: a ranking of the test subject with respect to one or more individuals comprising the reference population, a percentage of the reference population above or below the subject, and a statistical deviation of the test subject from the norm or average of the reference population.
Pulsar Informatics, Inc. | Date: 2015-09-24
Systems and methods are provided in which optimized driving trip schedules are generated, optimized, optionally scored according to multiple criteria including fatigue, and provided to a driver or other personnel. Trip schedules are generated from route plans connecting start and end waypoints and optionally intermediate waypoints. Hours-of-service (HoS) regulations and business objectives (fuel efficiency, time-constrained waypoints, etc.) are considered, where a forward greedy algorithm may be used to solve the problem of on-time delivery under such constraints. Driver sleep and fatigue are then determined from the generated trip schedules using sleep prediction models and fatigue prediction models. Trip schedules may then be scored, modified, and optimized in accordance with several other constraints.
Pulsar Informatics, Inc. | Date: 2016-08-25
Systems and methods for quantifiable assessment of vehicle driver performance based upon objective standards are disclosed. The physical and/or control states of a vehicle are monitored by sensors during a driving trip. Measurement data, optionally comprising a measurement signal, is composed from parameters selected from the measured physical and/or control states. The measurement data is then compared to reference data, optionally comprising a reference signal, comprising the same or similar physical and control state parameters, for the same or analogous driving trip or portion thereof, including discrete driving tasks, as determined by one or more of: a known driver of specific attributes, a population average, or an autonomous driving algorithm. A driver performance level may be determined as one or more characteristic metrics of a driving task, according to one or more path metrics of a driving task, or as a signal distance metric between the reference and measurement signals.
Agency: Department of Defense | Branch: Navy | Program: STTR | Phase: Phase II | Award Amount: 479.24K | Year: 2013
This project will achieve an unobtrusive, wearable sensor array to collect environmental, physiological, and subjective measures associated with physical and cognitive fatigue. The proposed innovation, called the Warfighter Fatigue Data Acquisition System (WFDAS), will be an unobtrusive, modular sensor array to capture, synchronize, and download data related to: (1) actigraphy; (2) ship motion; (3) vibration levels; (4) noise levels; (5) ambient temperature; (6) light levels; and (7) subjective measures related to fatigue. Data will automatically download via USB or open source wireless communication protocols (e.g., Bluetooth) to a networked laptop or smart phone where it can be exported for analysis or integrated with secondary applications (e.g., HSI"experiment in a box"toolkit). This tool will streamline operational data acquisition and reduce the burden for study participants. The software may also be configured to enable study participants to"self-administer"performance measures for use when experimenters are not able to be present (e.g., live fire testing). This project is directly responsive to the stated ONR goal to enable development and validation of performance shaping algorithms to predict the impact of environmental stressors including temperature, vibration, motion, noise, light and fatigue on warfighter readiness.
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 122.55K | Year: 2014
This project will achieve a wrist-worn actigraphy device called STARwatch, designed specifically for space exploration environments. It will provide a minimally obtrusive, objective measure that evaluates astronaut sleep-wake activity and light exposure. This project will leverage our second generation actigraphy device that has already been validated in controlled laboratory experiments against gold-standard polysomnography. The compact wrist-worn device includes sensors to collect sleep metrics and will also serve as a wireless hub to collect real-time physiological data from other body-worn sensors (e.g., heart rate, EEG). It will use standardized wireless communication protocols (e.g., Bluetooth) to automatically uplink data to the ISS network (no astronaut time required). Data will automatically be integrated into medical operations support systems (e.g., BHP-Dashboard) to provide immediate feedback to astronauts and flight surgeons to aid in decision-making relative to astronaut medical, behavioral health and performance issues. During Phase I, we will develop an enhanced STARwatch, integrate data from other body worn sensors (e.g., heart rate sensor), demonstrate automatic data streaming using approaches compatible with the ISS network environment, and develop a plan for operational validation and spaceflight certification that will be implemented during Phase II (Phase I TRL of 4-5).
Agency: Department of Transportation | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 749.97K | Year: 2015
This proposal leverages our current DOT-funded SBIR Phase II project developing software to assist truck drivers and companies to fatigue optimize driver scheduling and route planning. This project will build a set of web-services specially designed to provide objective quantitative feedback to truck drivers, dispatchers, and safety managers about fatigue from fatigue stressors common in trucking (e.g. chronic sleep restriction, extended duty hours, night work). The first web service is an aid for drivers to optimize their route planning relative to fatigue and HOS guidelines. When integrated into their in-cab Telematics offering it can provide drivers with guidance about optimal times to drive, when to take a break, and sleep. It will also include an embedded database of rest stops to help the drivers preplan their trip and avoid hunting for rest stops. The second web service will provide a dashboard of driver fatigue scores in the context of vehicle performance data (received from their telematics system). Dispatchers and safety managers will have real-time quantitative data about driver fatigue correlated with business metrics such as HOS violations, speeding, hard braking, fuel efficiency, etc. This fatigue dashboard will help proactively manage fatigue habits for safety and performance benefits. Anticipated Results/Potential Commercial Applications of Results. The intended benefits include Increased drivers alertness while driving, Increased career and company satisfaction – Greatly reducing driver turnover and the ensuing recruiting/retraining costs, Improved safety (e.g. fewer accidents), Reduced maintenance burden (e.g., fewer hard braking events), Improved fuel efficiency resulting from more alert drivers, Reduced on-the-job injuries (during loading and other non-driving activities), Improved customer relations by reducing driver negative affect associated with fatigue, Reduced insurance premiums
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 900.00K | Year: 2012
Given the extended duration of future missions and the isolated, extreme, and confined environments, there is the possibility that stress-related behavioral conditions and mental disorders (DSM-IV-TR) will develop. The overarching goal of this project is to deliver an integrated system that will track physiological signals (heart rate and heart rate variability) and behavioral signals (sleep wake patterns) to detect chronic stress, hyperarousal, and insomnia during space missions. This project will deliver both the sensor hardware and signal processing software needed for the real-time data collection and integration with other behavioral health monitoring systems (e.g., Individualized Fatigue Meter and Individualized Behavioral Health Meter). The result of Phase II will be a system that can be deployed in space analog environments for validation testing and ultimately deployed on ISS to assist astronauts and mission support personnel in the detection of astronaut chronic stress, hyperarousal, and insomnia. The critical need for an Individualized Stress Detection System has been identified as a priority outlined in the BHP IRP Gap BMED2. The Technology Readiness Level at the end of Phase II will be TRL 5.
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 749.75K | Year: 2015
This project will achieve a wrist-worn actigraphy device called STARwatch, designed specifically for space exploration environments. It will provide a minimally obtrusive, objective measure that evaluates astronaut sleep-wake activity and light exposure. This project will leverage our second-generation actigraphy device that has already been validated in controlled laboratory experiments against gold-standard polysomnography. The compact wrist-worn device includes sensors to collect sleep metrics and will also serve as a wireless hub to collect real-time physiological data from other body-worn sensors (e.g., heart rate, EEG). It will use standardized wireless communication protocols (e.g., Bluetooth) to automatically uplink data to the ISS network (no astronaut time required). Data will automatically be integrated into medical operations support systems adhering to NASA data requirements (e.g., HL7), providing immediate feedback to astronauts and flight surgeons to aid in decision-making relative to astronaut medical, behavioral health and performance issues. During Phase II, we will conduct user testing and validation in a space flight analog environment, complete product refinements, and certify STARwatch for spaceflight. (Phase II TRL of 7-8).
Agency: Department of Defense | Branch: Defense Health Program | Program: SBIR | Phase: Phase I | Award Amount: 150.00K | Year: 2015
This project will achieve a mobile application called SleepFit that enables users to track their sleep habits and receive feedback that promotes positive behavior change to improve sleep quality. The SleepFit app will: (1) unobtrusively collect accurate s
Pulsar Informatics, Inc. | Date: 2014-08-11
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.