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Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

Award Information
Agency: Department of Defense
Branch: Defense Health Agency
Contract: W81XWH20P0050
Agency Tracking Number: H19B-001-0005
Amount: $249,875.80
Phase: Phase I
Program: STTR
Solicitation Topic Code: DHA19B-001
Solicitation Number: 19.B
Timeline
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-04-22
Award End Date (Contract End Date): 2020-11-21
Small Business Information
3600 Green Court Suite 600
Ann Arbor, MI 48105
United States
DUNS: 009485124
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Caitlin Tenison
 Research Scientist
 (210) 288-2389
 caitlin.tenison@soartech.com
Business Contact
 Laura Schwennesen
Phone: (734) 887-7683
Email: laura.schwennesen@soartech.com
Research Institution
 Stanford University
 Allan Reiss Allan Reiss
 
450 Serra Mall
Sanford, CA 94305
United States

 (650) 498-4952
 Nonprofit college or university
Abstract

Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational asset. Soar Technologyand Stanford University proposethe development of the Corvus System. This fNIRS system supports thecollection, processingand detection of physio-cognitivestates. We will design fNIRS hardwarethat is sensitiveto thesignals thatareindicative of readinessand robust to thetype of noiselikely to interfere with use of fNIRS in operational contexts. Our signal processingand extracted metrics builds off research efforts by the Standford team. Finally, PhaseI workextends thecurrent state-of-the-art in stateestimation usingfNIRS, by usinginformation about thetaskand context. Through research and validation,we will develop this system to supporta widerange of tasks,and functional capabilities.

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

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