SBIR/STTR Research Award

Development of a scalable, portable device platform to help objectively monitor the treatment of substance abuse.

Award identifier f32c5a618ceda480e991e5de7f238278c6cfef53f7107c40cdc6461dfe91f687Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$221,675

Program and phase

SBIR · Phase I

Award year

2020

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
WAVi Co.
Proposal award date
2020-09-30
Contract end date
2021-03-31
UEI
M9GVDY4LZBW6
Solicitation number
DA19-019
Topic code
NIDA

Research abstract

Abstract Assessing the effectiveness of substance abuse rehabilitation, where high relapse rates create financial and social tolls, is a pressing clinical problem in need of better measurement tools. The ability to identify cognitive changes should improve outcomes but current intake into rehabilitation programs doesn’t typically include cognitive tests. Simple, quick, cost-effective, and objective measures are needed. This is the problem this proposal seeks to address. This proposal utilizes the experience of Evolve Behavioral Health which serve 150 patients weekly, and WAVi, a commercialized brain-assessment platform that combines EEG evoked responses (ERP) with 5 other tests also sensitive to addiction (heart rate variability, physical reaction times, MoCA, Trail Making, and Flanker). This user-friendly platform focuses on minimizing testing times and cost while maximizing information. Our first premise is that adding these tests will help us identify those addicts whose cognitive state requires modified treatment approaches, and this will decrease relapse rates and recidivism rates. Our second premise is that we can create a dataset that can be trained to identify appropriate treatment regimens on an individual basis from the initial baseline test. To date, WAVi data have shown ERP to be highly sensitive to concussion (another cognitive issue) and that artificial intelligence on raw EEG can classify both PTSD and musculoskeletal pain with high sensitivities and specificities. The aims of this project are to develop a scalable EEG-based test for rehabilitation facilities that is readily accessible to clinicians and to create a dynamic data asset to help longitudinally predict outcomes. Accomplishing these aims will assist clinicians on the front lines of substance abuse assessment and treatment.Narrative This project will help create an objective and clinically accessible test to be used in substance-abuse rehabilitation programs to assist clinicians in making intervention choices as well as determining the timing of release from rehabilitation.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

3 SBIR/STTR records share this UEI (2018–2023). Reported award amounts total $763,593. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.