Simulation framework to develop ankle exoskeleton gait assistance for older adults
Project Number5R00AG065524-05
Former Number5K99AG065524-02
Contact PI/Project LeaderSONG, SEUNGMOON
Awardee OrganizationNORTHEASTERN UNIVERSITY
Description
Abstract Text
Project Summary / Abstract
The candidate's long-term objective is to enable optimal and customized intervention to improve mobility. Mo-
bility is an essential physical activity for maintaining an active lifestyle and functional independence and is a
common issue for older adults, where musculoskeletal diseases are the leading cause of mobility limitations.
While robotic orthoses, or exoskeletons, promise to improve mobility, the progress in research is slow as eval-
uation on the outcome of gait assistance currently requires extensive experiments with human subjects. In this
project, the candidate proposes to develop a computer simulation framework that can predict the gait dynamics
and performance of different ankle-exoskeleton assistances. The study will develop and evaluate how ankle-
exoskeleton assistance affects metabolic energy consumption, walking speed, and pain during walking in
healthy young and older adults as well as in older adults with knee osteoarthritis. The candidate will develop
the simulation framework based on a computational neuromechanical human locomotion model he has previ-
ously developed, and collect human gait data using an ankle-exoskeleton emulator developed in his laboratory
to validate the predictions of the framework. In addition to the simulation framework, the study will deliver an-
kle-exoskeleton strategies that can effectively assist healthy young and older adults and those with knee osteo-
arthritis to walk more efficiently, fast, and with less pain. During the K99 phase, the candidate will receive train-
ing in the Department of Mechanical Engineering at Stanford University. The mentoring team consists of four
experts who can provide training in experimental human biomechanics, computer simulation of human move-
ment, musculoskeletal diseases in older adults, and gerontology. An advisory committee with three members
will provide additional expertise in optimality principles in human motion, and in non-clinical needs and surgical
trauma in the senior population. The training will prepare the candidate to become a leading independent in-
vestigator in the multidisciplinary fields of motor control and rehabilitation engineering, who produces theoreti-
cal and clinical impacts on improving mobility.
Public Health Relevance Statement
Project Narrative
Decline in mobility is a critical issue in aging that leads to a less active lifestyle, loss of functional independ-
ence, morbidity, and death. The research aims to improve mobility in the senior population with or without mus-
culoskeletal diseases using robotic orthoses and neuromechanical computer simulations. The work will also
contribute to fundamental knowledge about motor control and rehabilitation regarding human locomotion.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AdultAdvisory CommitteesAffectAgeAgingAnkleBehaviorBiomechanicsCessation of lifeClinicalComputer SimulationComputer softwareConsumptionDataDevelopmentElderlyEnergy consumptionEngineeringEnvironmentEvaluationFall preventionFutureGaitGait abnormalityGerontologyGoalsHumanInterventionJointsKnee OsteoarthritisKnowledgeLaboratoriesLiteratureLocomotionMeasuresMechanicsMentorsMetabolicMobility declineModelingMorbidity - disease rateMotionMovementMuscleMusculoskeletalMusculoskeletal DiseasesNeurologic Gait DisordersNeuromechanicsOperative Surgical ProceduresOrthotic DevicesOutcomePainPathologyPatientsPerformancePhasePhysical activityPhysiologyPopulationProcessResearchResearch PersonnelRoboticsScienceSelf-Help DevicesSpeedTestingTorqueTrainingTraumaUnited States National Institutes of HealthUniversitiesValidationWalkingWorkactive lifestylecomputer clusterenvironmental changeexoskeletonexperienceexperimental studyfallsfunctional independencefunctional losshuman subjectimprovedimproved mobilityinnovationmembermetabolic ratemodels and simulationmotor controlmotor rehabilitationmultidisciplinaryneuromusculoskeletalopen sourceoutcome predictionpain reductionpowered exoskeletonrehabilitation engineeringsimulationwalking speedyoung adult
No Sub Projects information available for 5R00AG065524-05
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Outcomes
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