In the medical community, patient simulators are used to educate and train nurses, medics and doctors in rendering dierent levels of treatment and care to various patient populations. Students have the opportunity to perform real-world medical procedures without putting any patients at risk. A new thrust for the U.S. Army RDECOM CERDEC Night Vision and Electronic Sensors Directorate (NVESD), is the use of remote sensing technologies to detect human vital signs at stando distances. This capability will provide medics with the ability to diagnose while under re in addition to helping them to prioritize the care and evacuation of battleeld casualties. A potential alternative (or precursor) to human subject testing is the use of patient simulators. This substitution (or augmenting) provides a safe and cost eective means to develop, test, and evaluate sensors without putting any human subjects at risk. In this paper, we present a generalized framework that can be used to accredit patient simulator technologies as human simulants for remote physiological monitoring (RPM). Results indicate that we were successful in using a commercial Laser Doppler Vibrometer (LDV) to exploit pulse and respiration signals from a SimMan 3G patient simulator at stando (8 meters).

Date Published: 14 May 2012
PDF: 8 pages
Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 837111 (14 May 2012); doi: 10.1117/12.922907

Published in SPIE Proceedings Vol. 8371:
Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX
Sárka O. Southern; B. V. K. Vijaya Kumar; Salil Prabhakar; Arend H. J. Kolk; Kevin N. Montgomery; Arun A. Ross; Carl W. Taylor, Editor(s)