A Non-invasive Brain Computer Interface to Remotely Monitor and Diagnose Warfighters at Risk for PTSD

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$99,998.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
W81XWH-10-C-0202
Agency Tracking Number:
O093-H18-3071
Solicitation Year:
2009
Solicitation Topic Code:
OSD09-H18
Solicitation Number:
2009.3
Small Business Information
Brain Computer Interface, LLC
1310 Prospect Farm Drive, Yardley, PA, 19067
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
831298950
Principal Investigator:
Adam Simon
Chief Executive Officer
(215) 872-1549
adam.jay.simon@gmail.com
Business Contact:
Adam Grossman
Chief Operations Officer
(646) 831-1050
adamdgrossman@hotmail.com
Research Institution:
n/a
Abstract
Brain Computer Interface, LLC (BCI) proposes to investigate the feasibility of developing a non-invasive system (MindScope) to remotely monitor and diagnose warfighters at risk for PTSD. BCI will utilize wireless dry electrode electroencephalography (EEG) headsets communicating with laptop PC’s (later PDAs) running BCI software. Human Phase I study participants will perform BCI’s dynamic brain stimulation tests to generate data for analysis. In two independent studies, BCI will (i) record scans from healthy participants to confirm baseline reproducibility, and (ii) in collaboration with Sinai Hospital and the National Rehabilitation Hospital, assess feasibility to detect statistical differences in the power spectral density (PSD) metrics of PTSD patients, mTBI patients, and control participants. Established scientific literature has shown that EEG metrics can classify PTSD from healthy controls, but EEG technology has previously been too cumbersome to generate significant relevant data under dynamic brain stimulation conditions. BCI will leverage hardware advances and an extensive clinical data collection network to generate this data, and to innovate, analyze and apply it to create BCI’s MindScope mobile physiological testing system to assess brain health. Ultimately, the system will create personalized biometric brain signatures, allowing remote monitoring and diagnosis of brain status against baseline “normal” data.

* information listed above is at the time of submission.

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