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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- MYOLEX, INC.
- Proposal award date
- 2018-09-11
- Contract end date
- 2019-08-31
- UEI
- XMRNG2MNK6F1
- Solicitation number
- PA18-574
- Topic code
- NIAMS
Research abstract
Project SummaryElectrical impedance myographyEIMis a non invasive technique for muscle evaluation that is finding
increased application in a variety of neuromuscular diseases ranging from amyotrophic lateral sclerosis to
muscular dystrophy to radiculopathyIn EIMa weak electrical current is passed between two electrodes
through a muscle of interesttwo additional electrodes measure the resulting voltage patternsDiseases impact
the normal conductive and resistive properties of tissueproviding diagnostic informationas well as data on
disease statusincluding progression or the effects of therapyThe development and application of EIM
technology is the main focus of MyolexIncThe company has developed a convenientcompact EIM systemthe mViewthat has been used in a number of academicSBIR fundedand pharma supported clinical
studies in both children and adultsHoweverthe electrode sensor has not been optimized to ensure high
quality data collectionThere are two specific limitationsFirstthe existing electrode topologyi ethe specific
electrode sizeshapeand inter electrode distanceshas been based mainly on intuition rather than on
dedicated analysesSecondthe sensor is largenot cost effectiveand subject to high contact impedances
due to limitations in the electrode materialin order to achieve good skin contactit is necessary to repeatedly
apply saline directly to the skin or probewhich leads to inconsistencies in the dataIn this PhaseSBIR
applicationwe propose to refine these structural and technical aspects of sensor designIn Specific Aimwe
will utilize finite element modelsFEMsto assist in evaluating a variety of potential innovative sensor designs
to identify those that most effectively interrogate a variety of muscles in adults and childrenThis modeling will
study the effect of improved electrode spacing and variations in electrode size and shapeIn Specific Aimwe will prototype a basic electrode array incorporating a hydrophilic foam material that we have already
identified as providing high quality impedance data without artifactThis new array will use the improved
electrode topologies of AimIn Specific Aimwe will pilot these new arrays inhealthy adult subjectssubjects with primary neurogenic diseaseandsubjects with primary myopathic diseaseevaluating specific
quantifiable metricsincluding repeatabilitysensitivity to muscle conditioncomfortskin contact artifactsand
diagnostic capabilityAt the conclusion of this workwe will be in a position to make a go no go decision as to
the success of this effort and whether to pursue a Phaseapplication focused on making additional
improvements to the mView system itselfincluding modifications to the impedance measuring unitAfter this
developmental effort is completedwe will test this refined system and sensors in a larger cohort of healthy and
diseased individuals of all agesincluding childrenWe will ultimately plan to seek FDA approval for this
improved EIM system Project NarrativeElectrical impedance myographyEIMis a non invasive technology for the assessment of
neuromuscular disease that is the primary focus of MyolexIncWhile currently effectivethe technology has
not been fully optimized to ensure high sensitivityaccuracyease of useand cost effectivenessIn this
proposed projectthe electrode sensor will be improved to make it both more sensitive to muscle condition
and more convenient and effective to use in adults and children of all ages
Technology keywords
Not reported
Other awards by this recipient
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Research funding history
16 SBIR/STTR records share this UEI (2010–2025). Reported award amounts total $14,437,590. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Health and Human Services, National Science Foundation
Agency intelligence
Department of Health and Human Services
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