Bioinformatic Based Wearable Critical Care Monitor

Award Information
Agency:
Department of Defense
Amount:
$425,143.00
Program:
STTR
Contract:
W81XWH-09-C-0117
Solitcitation Year:
2008
Solicitation Number:
2008.A
Branch:
Army
Award Year:
2011
Phase:
Phase II
Agency Tracking Number:
A2-4620
Solicitation Topic Code:
A08-T033
Small Business Information
BodyMedia Advanced Development, Inc.
One Gateway Center, 420 Fort Duquesne Blvd, Suite 1900, Pittsburgh, PA, 15222-
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
830440793
Principal Investigator
 Kayvan Najarian
 Assoc. Professor of Computer Scienc
 (804) 828-9731
 knajarian@vcu.edu
Business Contact
 David Andre
Title: President
Phone: (412) 559-4426
Email: dave.andre@bodymedia-ad.com
Research Institution
 Virginia Commonwealth University
 Kayvan Najarian
 School of Engineering
401 West Main Street
Richmond, VA, 23284-3019
 (804) 828-9731
 Nonprofit college or university
Abstract
There is a well-understood need for a small bioinformatics based wearable critical care monitor allowing for the remote monitoring and triage of wounded warfighters. Our Phase I research demonstrated that by augmenting a commercial wearable body monitoring device (BodyMedia"s SenseWear Armband) with ECG and sophisticated signal processing including the wavelet transform invented at Virginia Commonwealth University, the hemorrhagic shock status of a wounded warfighter was accurately detectable in a simulated shock setting. Algorithms were also developed to predict useful critical parameters such as pulse pressure, shock index, stroke volume, and blood pressure from the armband signals. Subsequent research suggests that adding arm impedance to the existing set of sensors (ECG, heat flux, galvanic skin response, skin temperature, ambient temperature, and motion-based-parameters) further improves the accuracy of the system. Our Phase II proposal is to incorporate all of these sensors into a commercially ready wearable platform with additional memory and networking capabilities and to further improve and validate the prediction algorithms using existing collaborative efforts with the US Army Institute of Surgical Research (USAISR) as well as on critically ill and injured trauma and surgical patients at a busy urban Level I Trauma Center (VCU Medical Center).

* information listed above is at the time of submission.

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