University of Texas at Austin
Austin, Texas, 78712, United States
NCT Number: NCT05120115
The investigators are examining how weight distribution affects the way people walk, in terms of joint kinematics, kinetics, and muscle activity. The investigators are measuring these quantities while people walk while wearing a weighted belt. The investigators distribute the weights and walk for specified periods. They hypothesize that greater weight will have a greater effect on walking.
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Notify Me18 year–65 year
All sexes
Interventional
Not applicable
Austin, Texas, 78712, United States
The purpose of this study is to examine how the amount and distribution of weight on the pelvis affects how people walk. The investigators two factors, weight and placement. They are examining how these factors affect muscle activation, joint motions and foot forces. The investigators plan to recruit 40 healthy adult individuals. Each of the 20 experimental conditions (3x3 factorial and one control condition with no weight) will be recorded immediately in a single session. The investigators hypothesize that weight amount, gait speed and weight distribution will all affect how people walk, which will lead towards optimized design of hip exoskeletons.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Wearing belt around waist with various weights attached.
Time frame: One day
Amount of pelvic obliquity in response to weighted belt measured using optical motion capture
Time frame: One Day
Knee flexion angle range of motion measured using optical motion capture
Time frame: One day
EMG signals were normalized via the mean-dynamic method (Burden and Bartlett, 1999), centering the EMG signal around 1. For data analysis, the EMG signal was integrated along each gait phase to calculate the integrated EMG (iEMG) values. For the gastrocnemius, we extrated the iEMG during the pre-swing phase only. The iEMG was normalized to average during walking, resulting in arbitrary units.
University of Texas at Austin
Other
Evaluating Optimal Weight Design Parameters of a Hip Exoskeleton Designed for Rehabilitation.
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