Intent Recognition for Prosthesis Control
User-Independent Intent Recognition on a Powered Transfemoral Prosthesis
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Aaron Young, Ph.D.
- Phone Number: 404-385-5306
- Email: aaron.young@me.gatech.edu
Study Contact Backup
- Name: Kinsey R Herrin, MSPO, C/LPO
- Phone Number: 470-578-7600
- Email: kinsey.herrin@me.gatech.edu
Study Locations
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Georgia
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Atlanta, Georgia, United States, 30332
- Exoskeleton and Prosthetic Intelligent Controls Lab
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- A unilateral amputation of the lower limb
- Aged between 18 to 75 years, inclusive
- K3 or K4 level ambulators who can perform all locomotor tasks of interest (based on assessment of the physiatrist and/or prosthetist)
- If a prosthesis is used, the participant must use a prosthetic knee and foot in their clinically prescribed prosthesis.
Exclusion Criteria:
- Individuals with history of neurological injury, gait pathology, or cardiovascular condition that would limit ability to ambulate for multiple hours
- Individuals who are currently pregnant (based on patient self-report) due to slight risk of falling during experiments
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- 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 |
|---|---|
|
Experimental: Smart Robotic Knee/Ankle Prothesis
This study will be conducted on a sample population of individuals with transfemoral amputation (single arm).
Each participant will test with each condition of the study (repeated measures).
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The intervention is an experimental robotic knee/ankle prosthesis that has been previously developed by the team.
It is used to improve walking gait performance.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overground Self-selected Walking Speed
Time Frame: 1 day
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This measures the individuals preferred overground walking speed which indicates their physical capability with a device.
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1 day
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overground Walking Speed Mean Absolute Error (MAE)
Time Frame: 1 day
|
This outcome is the error with which the machine learning model embedded into our advanced prosthesis controller's microprocessor predicts the user's walking speed overground.
Specifically, mean absolute error (MAE) is computed between the predicted walking speed and the ground truth walking speed, or the speed that the user is actually walking at.
Ground truth measurements are measured by a motion-capture system and taken to be center of mass speed.
Walking speed predictions are made every 50 ms and compared to the nearest center-of-mass speed.
For this measure, lower walking speed MAEs are indicative of greater accuracy in defining the user's true walking speed and thus lower numbers are indicative of an improved outcome.
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1 day
|
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Treadmill Walking Speed Mean Absolute Error (MAE)
Time Frame: 1 day
|
This outcome is the error with which the machine learning model embedded into our advanced prosthesis controller's microprocessor predicts the user's walking speed on the treadmill.
Specifically, mean absolute error (MAE) is computed between the predicted walking speed and the ground truth walking speed, or the speed that the user is actually walking at.
Ground truth measurements are measured by the true treadmill speed (for treadmill trials).
Walking speed predictions are made every 50 ms and compared to the nearest center-of-mass speed.
For this measure, lower walking speed MAEs are indicative of greater accuracy in defining the user's true walking speed and thus lower numbers are indicative of an improved outcome.
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1 day
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Aaron Young, Ph.D., Georgia Institute of Technology
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
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
- H21117
- DP2HD111709 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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