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| Susan P.McGrath, PhD | |
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Associate Research Professor of Engineering and Senior Lecturer Thayer School of Engineering Dartmouth |
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Related: Monitoring first responders http://www.dartmouth.edu/~vox/0405/0726/bridge.html
The Automated Remote Triage and Emergency Management Information System (ARTEMIS) is an ongoing research effort at Dartmouth College's Institute for Security Technology Studies that aims to provide real-time physiological information to first responders and command personnel in emergency/disaster situations.
We live in an age of acute awareness of the potential for catastrophic events. Recent events have demonstrated the need for reliable, integrated and automated communications and sensing systems to support situation assessment and response to large-scale emergencies. This research effort contributes to three critical areas of technology that can be used to improve our nation's ability to address these needs: reliable communications, environmental and physiological sensing, and automated information processing. Key to our research plan is an integrated development approach that includes algorithm development, simulation, hardware implementation and field-testing.
The system employs wireless networking, portable computing devices, and reliable messaging technology as a framework for information analysis, information movement, and decision support capabilities. Physiological status assessment is based on a medical model that relies on input from humans and a pulse oximetry device. Our physiological status determination methodology follows NATO defined guidelines for remote triage and is implemented using an approach based on fuzzy logic. The prototype system is capable of monitoring and assessing physiological parameters of individuals, transmitting pertinent medical data to and from multiple echelons of medical service personnel, and providing filtered data for command and control applications.
http://www.ists.dartmouth.edu/projects/frsensors/artemis/
Bio: Susan McGrath is Associate Research Professor at the Thayer School of Engineering. Susan received the B.S. in Electrical Engineering from Drexel University in 1988 and her M.S. and Ph.D. in Biomedical Engineering from Rutgers University in 1990 and 1996, respectively. Her graduate research focused on biomedical instrumentation and biomedical image processing and classification. Susan worked at the Naval Air Warfare Center in Lakehurst, New Jersey, from 1984-1997. Her work there as a Senior Technologist involved research and development of technologies to support aircraft carrier based applications such as aircraft tracking and identification and shipboard robotics. Susan worked for Lockheed Martin's Advanced Technology Laboratories (ATL) in Camden, New Jersey from 1998 until she joined Dartmouth College in August 2000. While at ATL, her research focused on mobile intelligent agents for military applications. Her current research interests include mobile computing and intelligent software applications for biomedical, emergency management and command and control applications. Her research is supported by the Department of Homeland Security, U.S. Army Communications and Electronics Command and the US Army Research Institute of Environmental Medicine.