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dc.contributor.authorGolyski, Pawel R.
dc.contributor.authorVazquez, Esmeralda
dc.contributor.authorLeestma, Jennifer K.
dc.contributor.authorSawicki, Gregory S.
dc.date.accessioned2020-02-13T21:50:44Z
dc.date.available2020-02-13T21:50:44Z
dc.date.issued2020-01
dc.identifier.urihttp://hdl.handle.net/1853/62449
dc.descriptionPresented at the Georgia Tech Career, Research, and Innovation Development Conference (CRIDC), January 27-28, 2020, Georgia Tech Global Learning Center, Atlanta, GA.en_US
dc.descriptionThe Career, Research, and Innovation Development Conference (CRIDC) is designed to equip on-campus and online graduate students with tools and knowledge to thrive in an ever-changing job market.en_US
dc.description.abstractCompromised balance is a major public health concern, both in the workplace and among older adults. In the US, falls account for 15% of the total injury cost among workers, and 25% of older adults fall each year. Wearable robots can address instability during walking, but despite walking being a cyclic task defined by the gait cycle, the critical period during the gait cycle when individuals are least robust to slips is unknown. We hypothesized that individuals would be most destabilized by a backwards slip when it is delivered between 15-20% of the gait cycle, which corresponds to the time when only one foot is on the ground and the center of mass is behind that supporting limb. Using a split-belt treadmill, we interrogated robustness to a brief slip delivered to one leg at 10, 15, 20, 30, 40, and 50% of the gait cycle. We slipped 10 individuals in each combination of leg and slip timing 10 times. We quantified stability using dynamic stability margin, step length, step width, and their variabilities from the step before to 4 steps after each slip. Dynamic stability margin, step width, step length, and step length variability indicated that slips from 20-30% of the gait cycle were significantly more destabilizing than slips delivered later in the gait cycle, while step width variability indicated slips delivered at 15% of the gait cycle were most destabilizing. We anticipate these findings will prompt wearable robotic solutions which improve slip robustness between 15-30% of the gait cycle.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) - NSF: DGE-1650044en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCRIDCen_US
dc.subjectBiomechanicsen_US
dc.subjectFallsen_US
dc.subjectLocomotionen_US
dc.subjectSlipsen_US
dc.subjectStabilityen_US
dc.titleWhen Are We Least Stable During Walking?en_US
dc.typePosteren_US
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Career Discovery and Developmenten_US
dc.contributor.corporatenameGeorgia Institute of Technology. Office of Graduate Studiesen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Office of the Vice Provost for Graduate Education and Faculty Developmenten_US
dc.contributor.corporatenameGeorgia Institute of Technology. Student Government Associationen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Bioengineering and Bioscienceen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Mechanical Engineeringen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Biological Sciencesen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Robotics and Intelligent Machinesen_US


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