You are here

Robotic Noninvasive Neck and Spinal Injury Assessment Device

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-08-C-0116
Agency Tracking Number: A08A-034-0404
Amount: $99,921.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A08-T034
Solicitation Number: 2008.A
Timeline
Solicitation Year: 2008
Award Year: 2008
Award Start Date (Proposal Award Date): 2008-07-31
Award End Date (Contract End Date): 2009-02-28
Small Business Information
82 Guggins Lane
Boxborough, MA 01719
United States
DUNS: 807676395
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John Hu
 President
 (978) 239-3203
 jjh@hstartech.com
Business Contact
 John Hu
Title: CTO
Phone: (617) 869-9691
Email: edsinger@hstartech.com
Research Institution
 MGH (HARVARD MEDICAL SCHOOL)
 Kirkham Wood
 
Dept of Orthopedic Surgery Yawkey Ctr, 55 Fruit Street
Boston, MA 2114
United States

 (617) 724-1476
 Nonprofit College or University
Abstract

We propose a robotic non-invasive 3D ultrasound injury assessment system that a) allows local autonomous neck/spine injury assessment using pattern recognition, b) provides capability of telepresence injury assessment operation, c) creates 3D ultrasound imaging and visualization, d) integrates the injury assessment system onto an Hstar combat casualty extraction robotic system called cRoNA (Combat Robotic Nurse Assistant). We will leverage our existing advanced model of RoNA (Robotic Nurse Assistant) system into a Combat Robotic Nurse Assistant (cRoNA) system for battle field casualty extraction and injury assessment. Our proposal has several components. Our primary innovation is a humanoid mobile dexterous robotic manipulation system called cRoNA that can run in local autonomous and telepresence operation mode for combat casualty extraction and injury assessment. This proposal also includes integration of an innovative robotic system enabled autonomous ultrasound image acquisition technology for 3D ultrasound imaging and visualization. Advanced pattern recognition algorithms will be developed for enhancement in local autonomy of injury assessment.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government