Exploiting Selective Recruitment to Prolong Standing after SCI
Exploiting Selective Recruitment to Prolong Standing after SCI
批准号:
8477853
负责人:
RONALD J TRIOLO
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-01-01 至 2016-12-31
关键词:
Animal ModelAnimalsBiomechanicsChronicClinicalClinical assessmentsDevicesDiscontinuous CapillaryElectrodesEnsureEquilibriumEvaluationFatigueFiberFrequenciesGenerationsGoalsHandHip region structureHumanHuman VolunteersImplantIndividualJointsKneeLeadLower ExtremityManualsMethodologyMethodsMuscleMuscle FibersNerveOutcomeOutputParalysedPerformancePeripheral NervesPhasePhysiologic pulsePlaguePopulationProcessProductionPropertyRelative (related person)ReportingSchemeSeriesShapesSpinal cord injuryStimulusSumSystemTechnologyTestingTimeTrainingbaseclinical applicationdesignfemoral nervefunctional outcomeshuman subjectimplantationimprovedinnovationneurophysiologyneuroprosthesisnovelnovel strategiesoperationpublic health relevancerelating to nervous systemresearch clinical testingresponsetranslational study
中文摘要
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英文摘要
DESCRIPTION (provided by applicant):
The goal of this project is to integrate several demonstrated technologies for restoring lower limb function after paralysis from spinal cord injury (SCI), and examine novel stimulation schemes designed to minimize fatigue of the knee extensor musculature during standing. All existing stimulation systems for standing after SCI rely on continuous activation of the knee extensors, which results in rapid fatigue that limits their functionality and clinical utility. The
primary objective of this translational study is to improve the performance of neuroprostheses for standing by developing and implementing advanced stimulation paradigms that exploit the selectivity of multi- contact peripheral nerve electrodes to prolong standing duration. Strategie for exploiting the selective activation of multiple synergistic muscle fiber populations include alternating between independent groups to reduce stimulus duty cycle, interleaving stimulus pulses to reduce local stimulus frequency, and a previously unexplored paradigm in which the oscillations of sinusoidal forces generated by each population produce a constant net output that exceeds any individual contribution. There has yet to be a successful critical evaluation of any of these methods chronically in humans, which still require rigorous bench testing. Stable and selective peripheral nerve interfaces (multi-contact spiral cuff electrodes) have recently become available for chronic human implantation and will enable the clinical assessment of advanced stimulation paradigms in individuals with SCI. We will implement each paradigm in recipients of implanted standing neuroprostheses and determine their relative benefits in terms of knee extension moment, endurance, robustness and elapsed standing duration. The numerous parameters that need to be adjusted for each muscle fiber population are currently selected ad hoc in a time consuming trial-and-error process. We will perform a series of chronic animal studies to develop and test automated methods for tuning each stimulation paradigm and selecting optimal parameters to maximize performance and generalize them to other neural interface technologies. The resulting tuning and optimization methods resulting from these studies will be verified clinically with users of a variety of implanted neuroprostheses, and will ultimately be suitable for transfer to other clinical applications.
PUBLIC HEALTH RELEVANCE:
Neuroprostheses for standing after spinal cord injury (SCI) are plagued by rapid fatigue from continuous activation of the knee extensors which limits their functionality and clinical usefulness. This project will determine the feasibility and performance of novel stimulation paradigms that exploit the ability of new multi- contact peripheral nerve electrodes to selectively
activate individual portions of different muscles in order to prolong standing duration. Stimulus waveforms will initially be constructed off-line and then implemented clinically with recipients of
implanted standing systems. Methods for automatically tuning stimulation for optimal performance will be determined in a parallel set of animal studies generalizable to other applications and interface technologies. The optimized stimulus waveforms will then be deployed clinically and compared to the hand-crafted controllers. The outcome will define a new approach for enhancing the intrinsic function of individuals with SCI, and extending the clinical utility of neuroprostheses in a device independent manner.
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