SBIR/STTR Research Award

Motor Unit Drive (MU Drive) for Prosthetic Control

Award identifier 38c12b2da3ee1a53a4fa0372ef9a3f6782577ffe519af62207eb1c645705a75cAwarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$581,412

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ALTEC, INC
Proposal award date
2015-08-01
Contract end date
2017-07-31
UEI
C14QW1FDLCA8
Solicitation number
PA14-071
Topic code
103

Research abstract

DESCRIPTION provided by applicant The proposed work will develop a non invasive interface MU Drive c able to extract the incremental motor unit MU firings during voluntary muscle contractions and use this information as control sources to drive upper limb prostheses for amputees Motor units provide high levels of incremental control for intact limbs and therefore have the potential of providing a more natural and seamless way of restoring motor function for amputees The Phase I effort will provide the technical merit and feasibility of the proof of principle by demonstrating that increments of MU recruitment and de recruitment from a single muscle can provide in real time a proportional monotonically increasing and decreasing control signal that substantially improves upon present capabilities of non invasive prosthetic control Specifically because the recruitment and de recruitment of MUs is hierarchically and proportionally related to the force produced by the muscle the MU Drive c control signal will be smoother and more stable when compared to a standard myoelectric control parameter Accomplishing this proof of principle will require a substantial overhaul of existing technology for extracting MU firings from surface electromyographic sEMG signals recorded during voluntary contractions More than lines of code and functions will need to be modified and tested with new signal processing components to replace the current post processing functionality of the algorithm with real time capability The algorithms will be tested on sEMG data recorded during opening and closing contractions of the hand from at least subjects with intact limbs The stability and smoothness of the MU Drive c control signal will be compared to a contemporary sEMG amplitude based measure of control from the same data set Further experiments will establish the proof of principle in subjects with trans radia amputation to mitigate the risk of possible difficulties in extracting usable MU data from damaged or surgically displaced muscles Phase II will advance the single control source capability to richer MU Drive c control possibilities of multiple muscle sources to achieve real time degrees of freedom precision control of a prosthesis At its core the MU Drive c system will provide a richer control source than available from the filtered sEMG signal The benefits of this principle will have far reaching effects in the fields of prosthetics robotics and rehabilitaion Furthermore on account of its inherent non invasive design the proposed technology will provide a lower cost risk averse alternative to implanted interfaces under development for prosthetic control Rehabilitation specialists will be able to provide the necessary adjustments to ensure optimal performance of amputeesandapos prostheses without the need for burdensome surgical interventions Our economical prosthetic solution will ease financial stress on an already burdened health care system and provide immediate access for a greater number of amputees PUBLIC HEALTH RELEVANCE We propose a non invasive prosthetic controller MU Drive c that will extract natural motor commands from human muscles and use the commands to drive upper limb prostheses for amputees The MU Drive c technology will improve upon current non invasive control technologies and provide a lower cost risk averse alternative to implantable technologies under development The impact will enable a greater number of amputees to improve their quality of life with less overall burden to themselves and society

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

32 SBIR/STTR records share this UEI (1998–2023). Reported award amounts total $27,032,486. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

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

Agency intelligence

Department of Health and Human Services

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