Development of a Real-time Controller to Estimate Walking Performance Using a Bilateral Ankle Exoskeleton
Controller Development to Enable Individualized Assistance in Robotic Ankle Exoskeletons
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Farah Fallahtafi, PhD
- Phone Number: 4025543075
- Email: ffallahtafti@unomaha.edu
Study Locations
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Nebraska
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Omaha, Nebraska, United States, 68108
- Biomechanics Research Building, University of Nebraska at Omaha
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- able to walk independently on a treadmill for 10 minutes,
- free of neurological, cardiovascular, pulmonary, or musculoskeletal conditions that limit walking and exercising,
- no current lower extremity pain or injury,
- able to wear an exoskeleton and safety harness, can provide informed consent
Exclusion Criteria:
- history of neurological disease that affected gait or balance,
- current or recent lower extremity musculoskeletal injury or surgery,
- chronic lower extremity pain during walking,
- inability to participate in moderate-intensity exercise,
- require an assistive device for walking,
- any metabolic or systemic diseases that may be exacerbated by exercise
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
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Experimental: Single-Arm Study of a Personalized Robotic Ankle Exoskeleton Controller
This arm employs a within-subject design with two methods of estimating metabolic cost versus the gold standard measure of metabolic cost, wherein a single participant is subjected to two distinct measurements.
This design allows for a direct comparison of the effects of each method (i.e., estimation versus gold standard) within the same individual, minimizing intersubject variability and enhancing the statistical power of the analysis.
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This intervention uses a robotic ankle exoskeleton equipped with a real-time adaptive controller that adjusts plantarflexion torque based on each participant's walking mechanics.
Unlike standard exoskeleton controllers that use fixed or pre-programmed assistance levels, this system employs human-in-the-loop optimization to continuously update torque magnitude and timing during treadmill walking.
The controller integrates metabolic estimations, kinematic data, and musculoskeletal modeling to identify individualized assistance patterns that reduce walking effort and improve muscle activation efficiency.
Participants complete multiple walking trials while the controller automatically modifies assistance to determine the optimal personalized settings.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Successful Real-Time Operation of the Robotic Ankle Exoskeleton Controller
Time Frame: through study completion, an average of 1 year
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Device feasibility will be evaluated by the successful real-time operation of the robotic ankle exoskeleton and adaptive controller during treadmill walking.
Feasibility is defined as the controller's ability to continuously generate, update, and apply assistive torque in real time based on incoming biomechanical and physiological data without system failure, interruption, or safety-related termination.
Successful operation will be confirmed by continuous controller function and synchronized data acquisition across walking trials.
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through study completion, an average of 1 year
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Net Metabolic Rate During Exoskeleton-Assisted Walking Measured by Indirect Calorimetry
Time Frame: through study completion, an average of 1 year
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Net oxygen consumption (VO₂) and carbon dioxide production (VCO₂) will be measured during treadmill walking using indirect calorimetry (Cosmed K5, Cosmed USA Inc., Chicago, IL).
Metabolic rate will be calculated using standard equations during steady-state walking conditions.
Measurements will be collected at regular intervals to characterize metabolic demand under different exoskeleton assistance configurations.
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through study completion, an average of 1 year
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Estimated Metabolic Rate Derived From Joint-Space Musculoskeletal Modeling
Time Frame: through study completion, an average of 1 year
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Estimated metabolic rate will be derived from joint-space musculoskeletal models using kinematic and kinetic data collected during treadmill walking.
Model-based estimates will be computed on a stride-by-stride basis to provide an indirect estimate of metabolic demand that can be compared with direct measurements from indirect calorimetry.
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through study completion, an average of 1 year
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Estimated Lower-Limb Muscle Activation Derived From Joint-Space Musculoskeletal Modeling
Time Frame: through study completion, an average of 1 year
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Lower-limb muscle activation patterns will be estimated using joint-space musculoskeletal models based on motion capture and ground reaction force data collected during treadmill walking.
Estimated muscle activation values will be computed on a stride-by-stride basis to characterize neuromuscular engagement during exoskeleton-assisted gait.
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through study completion, an average of 1 year
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Lower-Limb Muscle Activation Measured by Surface Electromyography During Walking
Time Frame: through study completion, an average of 1 year
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Muscle activation of lower-limb muscles (e.g., tibialis anterior, gastrocnemius medialis, gastrocnemius lateralis, soleus) will be measured during treadmill walking using surface electromyography (Delsys).
EMG signals will be collected continuously and processed to quantify muscle activation patterns during exoskeleton-assisted gait.
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through study completion, an average of 1 year
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During treadmill walking trials conducted at a single study visit
Time Frame: through study completion, an average of 1 year
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Controller parameter convergence will be assessed during human-in-the-loop optimization trials by evaluating changes in controller gain and timing parameters across successive walking bouts.
Convergence is defined as stabilization of controller parameters within a predefined range during the optimization process.
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through study completion, an average of 1 year
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Farah Fallahtafti, PhD, Department of Biomechanics, University of Nebraska at Omaha
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- 0587-25-FB
- 55136 (Other Grant/Funding Number: Nebraska Research Initiative)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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