Self-Selected Adaptive Speed Treadmill Walking versus Outdoor Walking in Older Adults
Author ORCID Identifier
https://orcid.org/0000-0002-7546-7524
Advisor Information
Dr. Brian Knarr
Location
MBSC 201
Presentation Type
Poster
Start Date
6-3-2020 12:30 PM
End Date
6-3-2020 1:45 PM
Abstract
The aim of this study is to assess the usability of an Adaptive Speed Treadmill (AST) to emulate realistic walking mechanics in non-faller (NF) and falls risk (FR) older adults. Seven NF and seven FR participants were included in the study. Participants were asked to walk on an instrumented treadmill for 3 minutes at their self-selected walking speed (SSWS) in both Fixed Speed (FST) and AST conditions. A Vicon motion capture system was used to capture kinematics for both conditions. Participants were also asked to walk outdoors for six minutes at their SSWS. An inertial motion capture system was used to capture Medio-lateral center of mass (ML COM) accelerations in all three conditions. Step width variability, peak knee flexion, and peak ankle plantarflexion were calculated for FST and AST conditions using Visual 3D software. Lyapunov Exponent (LyE) was calculated for ML COM in all three conditions for 3 minutes using Matlab. Four ANCOVAs were computed comparing walking conditions to the two participant groups for each variable of interest with p
ACKNOWLEDGEMENTS
Funding: UNO GRACA 16847, NIH P20 GM191090, R15 HD094194, U54 GM115458
REFERENCES
[1] Yang F et al. (2014) J Biomech. 47: 3876-3881
[2] Bhatt et al. (2006). Exp Brain Res. 107(1): 61-73
[3] Yang F et al. (2013). J Biomech. 46(14):2463-24685
Self-Selected Adaptive Speed Treadmill Walking versus Outdoor Walking in Older Adults
MBSC 201
The aim of this study is to assess the usability of an Adaptive Speed Treadmill (AST) to emulate realistic walking mechanics in non-faller (NF) and falls risk (FR) older adults. Seven NF and seven FR participants were included in the study. Participants were asked to walk on an instrumented treadmill for 3 minutes at their self-selected walking speed (SSWS) in both Fixed Speed (FST) and AST conditions. A Vicon motion capture system was used to capture kinematics for both conditions. Participants were also asked to walk outdoors for six minutes at their SSWS. An inertial motion capture system was used to capture Medio-lateral center of mass (ML COM) accelerations in all three conditions. Step width variability, peak knee flexion, and peak ankle plantarflexion were calculated for FST and AST conditions using Visual 3D software. Lyapunov Exponent (LyE) was calculated for ML COM in all three conditions for 3 minutes using Matlab. Four ANCOVAs were computed comparing walking conditions to the two participant groups for each variable of interest with p
ACKNOWLEDGEMENTS
Funding: UNO GRACA 16847, NIH P20 GM191090, R15 HD094194, U54 GM115458
REFERENCES
[1] Yang F et al. (2014) J Biomech. 47: 3876-3881
[2] Bhatt et al. (2006). Exp Brain Res. 107(1): 61-73
[3] Yang F et al. (2013). J Biomech. 46(14):2463-24685