A Real-Time, Non-Invasive Monitoring System of Combat Casualties for Early Detection of Hemorrhagic Shock During Transport and Higher Echelon Medical

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$100,000.00
Award Year:
2009
Program:
STTR
Phase:
Phase I
Contract:
W81XWH-09-C-0160
Award Id:
90072
Agency Tracking Number:
A09A-027-0245
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
8127 ALFALFA CT, LONGMONT, CO, 80503
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
829592935
Principal Investigator:
Greg Grudic
Chief Technical Officer
(720) 204-2575
greg.grudic@gmail.com
Business Contact:
Gregory Grudic
Owner
(720) 204-2575
grudic.flashback@gmail.com
Research Institution:
University of Colorado
Randall W Draper
Office of Contracts and Grants
3100 Marine Street, Rm 479
Boulder, CO, 80309
(303) 492-2695
Nonprofit college or university
Abstract
The proposed research has two aims: 1) to develop a real-time algorithm that uses non-invasive physiological signals to quickly and accurately detect severity of acute blood loss; and 2) to develop a complimentary algorithm that uses all or a subset of these signals (depending on their availability and situation specific appropriateness) to forewarn providers of an injured soldier's predicted risk for hemodynamic decompensation. The algorithms will be developed for use during transport and higher echelon medical care. These research efforts will be based on human subject Lower Body Negative Pressure (LBNP) experiments done in collaboration with the US Army Institute for Surgical Research, with proposed real-time testing of the developed algorithms. The research effort utilizes standard and novel machine learning, statistical and signal processing algorithms, in an aim to identify the most robust algorithms for prediction of hypovolemia, given noisy physiological data.

* information listed above is at the time of submission.

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