Award Data

A program to develop a compact, MLA-based, LWIR, full-motion-video hyperspectral imager for chemical detection is proposed. The proposed Hyperspectral Chemical Imaging Sensor (HyCIS) builds upon Surface Optics’ real-time hyperspectral imaging activities, including our 3D full-motion-video spectral imaging (FMV-SI) technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 ...

We propose to develop SmartPatient BOT driven by a continuous learning Natural Language Processing (NLP) Engine which can understand medical learner's questions in a natural conversation mode and provide responses from the medical simulator instead of int

BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...

We propose development of an AR system that allows the medical personnel to visualize the internal anatomy of a patient by projecting relevant anatomical information onto the patient directly into the field of view (FOV) of the medic. With no medical imag

The proposed EPA SBIR Phase I program will create a novel ultra low power and low cost microfabricated CH4 sensor. The initial developments of sensor technology will serve the EPA mission of identifying fugitive methane emissions, and subsequently the very large methane/ natrual gas leak and safety market that has been identified by KWJ and its collaborators. Phase I is dedicated to design, fabric ...

The goal of this program is to demonstrate a simple, low cost home test for lead ion, Pb(II), in drinking water. The US is faced with a deteriorating water service system used by many millions of people. This condition poses a serious public health threat, as illustrated recently by the Flint water crisis, but the problem is widespread and expected to grow. A simple, yet reliable test is needed th ...

Wild fires produce significant air pollution, posing health risks to first responders, residents in nearby areas, and downwind communities. Wildfires are increasing in size and intensity, and the fire season is growing longer. Technologies for measuring air pollutants, including particulates, carbon monoxide, nitrogen dioxide, and carbon dioxide, over the wide range of levels expected in areas dow ...

Complete human anatomy avatars have a broad future role in advanced training environments, providing, for example, medically correct immersive experiences, performance-related physiological modeling studies, and in simulations for the purpose of designing protective armor. USARIEM have created individualized avatars as 3-D tetrahedral Finite Element (FE) meshes with full labeled anatomy, fitted to ...

The confluence of genetics, mobile computing, wearable sensors and computational physiology has started the revolution in personalized medicine with huge civilian and military prospects to promote health and reduce costs. The goal of this project is to develop and demonstrate a Warfighter Health Avatar (WHA): a framework and physiology based modeling tools of a warfighter body to enable assessment ...

Iron deficiency is one of the most common nutritional deficiencies in the United States. Left untreated, iron stores continue to deplete, resulting in iron deficiency anemia (IDA). Women undergoing basic military training are particularly susceptible to reduced and depleted iron stores. To-date, there are no point-of-care (POC) instruments for comprehensive, accurate determination of iron status. ...