Optimization of Hip-exoskeleton Weight Attributes
- Conditions
- Gait, FrontalHealthy
- Interventions
- Other: Weight belt
- Registration Number
- NCT05120115
- Lead Sponsor
- University of Texas at Austin
- Brief Summary
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.
- Detailed Description
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.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 21
- Willing to commit to the full experimental session
-
Functionally relevant lower limb musculoskeletal injury
- Functionally relevant osteoarthritis and weight bearing restrictions
- Severe respiratory problems that restrict the wearer from using a metabolic rate apparatus
-
Patients with cardiac issues may be included, but the cardiac issue will be noted in the health history questionnaire
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Weight distribution and placement Weight belt Changing where weight is distributed on belt around pelvis, specifically, bilaterally, 4th lumbar area, unilaterally on the left side. Also changing amount of weight at 0, 4, 6 and 8 kg.
- Primary Outcome Measures
Name Time Method Pelvic Obliquity One day Amount of pelvic obliquity in response to weighted belt measured using optical motion capture
- Secondary Outcome Measures
Name Time Method Knee Flexion Angle During Swing Phase One Day Knee flexion angle range of motion measured using optical motion capture
Integrated Gastrocnemius Muscle Activity During Preswing Phase of Walking 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.
Trial Locations
- Locations (1)
University of Texas at Austin
🇺🇸Austin, Texas, United States