SBIR/STTR Research Award

Development of small molecules targeting Nrf2 pathway for treatment of Colitis

Award identifier 1e4b640eced6dc1dd5138178bc1b52169e0cce6f7f33e7d03229806f8ef4155eAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$150,490

Program and phase

SBIR · Phase I

Award year

2013

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
Coapt LLC
Proposal award date
Not reported
Contract end date
Not reported
UEI
UT7YP7NKRDA1
Solicitation number
PA12-088
Topic code
NICHD

Research abstract

DESCRIPTION (provided by applicant): Pattern recognition (PR) myoelectric control systems can dramatically improve an amputee patient's control over a powered prostheses, but they have not been made commercially available. Coapt, LLC, is a start-up stagecompany that is seeking to commercialize PR myoelectric control for the benefit of upper-limb amputees. The controller is based on research completed by the Rehabilitation Institute of Chicago's Center for Bionic Medicine. Numerous challenges, including clinically viable training and recalibration routines, have been overcame within the past decade, yet some still remain. One such challenge is to lower the power requirements of an embedded PR control system to an acceptable level such that the controller does not quickly drain the onboard prosthesis battery. The objective of this application is to lower the power requirements of the PR embedded control system such that it uses less than 10% of the battery's energy over a full day's use. Energy reduction is acritical item in the development of embedded control systems as it is directly related to the weight of the battery which must be attached to the prosthesis and carried by the patient whenever wearing the device. We will demonstrate the technical feasibility of the approach by the following two specific aims: (1) Develop power management algorithms to minimize power consumption of our pattern recognition controller in a manner that is transparent to the user, (2) Implement the power management techniques on the firmware of our pattern recognition controller. It is very important that our power management act in a manner that is transparent to the user. They must allow the overall control system to remain responsive to the user's command, even after long periods during which the system remains dormant. The proposed research is significant because it removes one of the few remaining clinical barriers preventing pattern recognition-based myoelectric control from being adopted. Ultimately, this research will help allow thousands of upper limb amputees to dramatically improve the control their prostheses, allowing for an improved quality of life. PUBLIC HEALTH RELEVANCE PUBLIC HEALTH RELEVANCE: The proposed research is relevant to public health becausethe clinical application of advanced, multifunction, upper-limb prostheses is expected to improve the quality of life for a large population of persons with up- per-limb amputation. It is unconscionable that there has been little change in the clinicallyapplied myoelectric control strategies since the 1960s whereas the physical prostheses themselves have improved dramatically. Commercial deployment of these devices is long overdue, and the proposed research will help attain that goal. Thus, the research is relevant to the part of the National Center for Medical Rehabilitation Research's mission to foster development of scientific knowledge to enhance the health, productivity, independence and quality-of- life of people with disabilities.

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

6 SBIR/STTR records share this UEI (2013–2023). Reported award amounts total $4,265,358. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: Department of Health and Human Services, Department of Defense

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.