SBIR/STTR Research Award

Intelligent Task Assist Device for Motor Control in Cerebral Palsy

Award identifier d2854657ccd6ca07b328d547629fd12a651808036f1549170b9af6075695c6caAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$186,663

Program and phase

SBIR · Phase I

Award year

2006

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
CLEVELAND MEDICAL DEVICES, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
LKM3SMX1MMM5
Solicitation number
PHS2006-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): The objective is to design, build, and clinically assess an intelligent device, the PediActive, to assist upper extremity motor control in cerebral palsy (CP). Children with hemiplegic CP often have upper extremity impairments including slowness, weakness, uncoordinated motion, and spasticity. The PediActive should enhance function by automatically complimenting a person's remaining voluntary motor control with functional electrical stimulation (FES) during activities of daily living. The PediActive should provide levels of function unachievable with only voluntary control. The user will not need to learn a new control algorithm. Instead, the user will simply attempt to complete a task. The PediActive will detect subject motion intention and automatically supply stimulation to target muscles to assist the task. The PediActive should ultimately aid CP subjects in completing activities of daily living thereby increasing independence and societal participation. While the ability to complete functional tasks can be compromised in CP, upper extremity motion and muscle activation patterns as they attempt tasks can be quite repeatable. The PediActive will take advantage of these patterns to automatically detect user intention. Therefore, the proposed PediActive will utilize wearable sensing and stimulating technology to automatically modulate FES and improve function. A user worn shirt or sleeve will be embedded with surface electromyography (EMG) electrodes, kinetic sensors, and a stimulator unit. The system will record EMG and kinetic data to determine user movement intention. Movements, coordination patterns, and/or EMG levels will then be used as inputs to train a neural network to output an appropriate level of FES to specific upper extremity muscles. Specifically, the PediActive will automatically detect when a user is attempting arm reach or hand grasp and apply FES to target muscles to assist the task. The PediActive will be an assistive device to improve upper extremity function in children with cerebral palsy. The system will be trained to automatically detect when a user is attempting a task and supply stimulation to target muscles to help the subject complete the task. The system should help subjects complete activities of daily living, thereby increasing their independence and societal participation.

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.

Research funding history

104 SBIR/STTR records share this UEI (1992–2016). Reported award amounts total $44,360,204. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services, Department of Defense, National Science Foundation, Department of Education

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.