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Exoskeleton Variability Optimization

Not Applicable
Recruiting
Conditions
Peripheral Arterial Disease
Interventions
Other: Exoskeleton optimization
Other: Endurance evaluation
Registration Number
NCT04338815
Lead Sponsor
University of Nebraska
Brief Summary

The investigators will evaluate a potentially faster and more clinically feasible method to optimize exoskeletons in pilot tests in healthy in preparation for patients with peripheral artery disease.

Detailed Description

This study will test different methods for optimizing exoskeletons. It will consist of an habituation session to the hip exoskeleton, an optimization session to find the optimal actuation settings using an algorithm that converges toward the optimum based on real-time measurements (human-inthe-loop algorithm) and a post-test at the end of optimization session to compare different conditions. The outcomes will be evaluated by surface electromyography (Delsys), exoskeleton sensors (Futek), ground reaction force (Bertec treadmill), walking speed (Bertec treadmill), indirect calorimetry (Cosmed), and motion capture (Vicon).

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
22
Inclusion Criteria
  • Ability to provide written consent
  • Chronic claudication history
  • Ankle-brachial index < 0.90 at rest
  • Stable blood pressure, lipides, and diabetes for > 6 weeks
  • Ability to walk on a treadmill for multiple five-minute spans.
  • Ability to fit in exoskeleton: waist circumference 78 to 92 centimeters, thigh circumference 48 to 60 centimeters, minimal thigh length 28 centimeters.
Exclusion Criteria
  • Rest pain or tissue loss due to peripheral artery disease (Fontaine stage III and IV).
  • Foot ulceration.
  • Acute lower extremity event secondary to thromboembolic disease or acute trauma
  • Walking capacity limited by diseases which are unrelated to peripheral artery disease such as:

Neurological disorders, musculoskeletal disorders (arthritis, scoliosis, stroke, spinal injury, etc.), a history of ankle instability, knee injury, diagnosed joint laxity, lower limb injury, surgery within the past 12 months, joint replacement, pulmonary disease or breathing disorders, cardiovascular disease, or vestibular disorder. This will be determined by verbal questioning from research personnel by verbally asking about conditions limiting their walking, whether subjects are taking medications for those conditions, and physicians' recommendations about limiting activity.

  • Acute injury or pain in their lower extremity or current illness.
  • Inability to follow visual cues due to blindness.
  • Inability to follow auditory cues due to deafness.
  • Women who are currently pregnant are excluded for safety reasons.

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Optimal assistance patternExoskeleton optimizationAn optimization algorithm will change the assistance pattern on the hip exoskeleton during walking sessions and the optimal assistance pattern will be determined when gait variability is minimized.
Effects on enduranceEndurance evaluationDetermine effects on endurance of participants using ground reaction force (Bertec treadmill), walking speed (Bertec treadmill), indirect calorimetry (Cosmed), and motion capture (Vicon).
Primary Outcome Measures
NameTimeMethod
Peak flexion timing20 seconds

Timing of peak flexion moment of exoskeleton (% stride cycle)

Largest lyapunov exponent20 seconds

Largest lyapunov exponent of lower limb kinematics

Time to convergence10 minutes

We will determine when the estimated optimal exoskeleton settings vary less than 10%

Peak extension timing20 seconds

Timing of peak extension moment of exoskeleton (% stride cycle)

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

University of Nebraska Omaha

🇺🇸

Omaha, Nebraska, United States

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