Clinical Validation of Myoelectric Implant for Intuitive Prosthesis Control
Clinical Validation of Myoelectric Implant for Intuitive Prosthesis Control
批准号:
10290697
负责人:
Scott Hiatt
金额:
$72.82万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-06-01 至 2023-05-31
关键词:
Activities of Daily LivingAdoptionAlgorithmsAmputationAnimalsArtificial ArmBackClinicalClinical ProtocolsClinical TrialsComplexCoupledCouplingDataDevice SafetyDevicesDocumentationElectrodesEnrollmentEvaluationFeasibility StudiesForearmFreedomFundingGelGoalsHandHomeImplantImplanted ElectrodesIndividualIntramuscularIntuitionJointsLearningLimb ProsthesisLinkMethodsMovementMuscleNoiseOperative Surgical ProceduresOutcomeOutcome MeasurePersonsPhasePreclinical TestingProsthesisQuality of lifeQuestionnairesResidual stateSafetySerious Adverse EventSignal TransductionSkinSmall Business Innovation Research GrantSoftware ValidationSpecificitySurfaceSystemTelemetryTestingTimeUnited States National Institutes of HealthUniversitiesUpper ExtremityVacuumValidationWorkWristarmdesignimplantable deviceimplantationimprovedjoint mobilizationlimb amputationlimb lossprimary outcomeprogramsprosthesis controlprosthesis wearerprosthetic handprosthetic socketprototyperecruitresidual limbsecondary outcomesensortooltranslational goalusabilityverification and validationwirelesswireless transmission
中文摘要
摘要
英文摘要
Abstract
The goal of this translational NIH SBIR program is to evaluate a small, implantable system for recording
myoelectric signals from residual muscles of individuals with forearm amputations. The signals will be wirelessly
coupled to an external transceiver for controlling a prosthesis. Compared to conventional surface electrodes,
this system will provide:
• more channels for prosthesis control from a larger number of muscles in the residual limb,
• improved specificity and repeatability for recording from individual muscles and muscle groups,
• higher reliability and quality for the recorded signals under different socket conditions,
• selective, consistent signals from deep muscles, and
• the ability to use gel, vacuum, and other prosthesis socket lining systems that do not easily accommodate
surface electrodes.
These multichannel recordings will enable users to generate simultaneous multi-axis movements with a more
natural feel of control than existing myocontrollers that only actuate a single joint axis at a time. In Phase I, we
will complete upgrades and testing of the external transceiver to eliminate the need of the belt-worn processor.
In Phase II, we will conduct an early feasibility IDE study in conjunction with the University of Pittsburgh. We will
coordinate nationwide recruitment along with Advanced Arm Dynamics to enroll a sufficient number of subjects
to implant 5 subjects with the myoelectric implant for a 1-year study. Subjects will be implanted and undergo
quarterly evaluation at the University of Pittsburgh throughout the 1-year take-home study. The implant will be
evaluated for safety and efficacy for controlling a multi-articulating prosthetic limb.
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