Towards Efficient Personalization of Computerized Lower Limb Prostheses Via Reinforcement Learning in a Clinical Setup - Group 1
NCT ID: NCT07204925
Last Updated: 2025-10-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
PHASE1
24 participants
INTERVENTIONAL
2025-08-01
2031-10-30
Brief Summary
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* With the developed RL-based Recommendation Interfacing System (RISE), clinicians are able to personalize prosthetic legs faster compared with existing manual personalization procedures.
* With the developed RL-based Recommendation Interfacing System (RISE), clinicians are able to personalize prosthetic legs without detailed knowledge about how the prosthetic legs are controlled.
* Patients perform better when the prosthetic legs are personalized with RISE system compared with the ones personalized manually Researchers will compare two arms (RISE guided personalization and manual personalization) to see if the tuning speed will increase and if patients can perform better.
Participants will go through the standard prosthetic fitting procedures, such as alignment adjustment, then they will experience repeated prosthesis personalization procedures conducted by tuning specialists without RISE, tuning specialists with RISE, and prosthetists (without tuning expertise) with RISE on different types of terrains. In the end, the participants will go through a testing trial, in which they will experience the prototype personalized through the three different approaches without knowing how the control parameters are decided. Their walking performance will be recorded. It is expected that the participants will visit the testing site 8 times, which including alignment (1 visit), three personalization procedures (twice for each), and one testing trial (1-2 visits).
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
DEVICE_FEASIBILITY
DOUBLE
Study Groups
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Tuning expert without RISE
Tuning experts decide the control parameters based on their knowledge about the powered prosthetic device and patients' feedback
Manual personalization of the prosthetic leg by tuning experts
The control parameters of the prosthetic legs are decided by tuning experts based on their knowledge of the prosthetic leg prototypes and patients' response.
Tuning expert with RISE
The control parameters of the prosthetic legs are decided by tuning experts with the help of the developed RISE system
RISE guided personalization of prosthetic legs by tuning experts
The personalization procedure is conducted by tuning experts based on the recommendation of RISE system
Prosthetists with RISE
Control parameters of the prosthetic leg are decided by prosthetists, who are not familiar with the prosthetic leg prototype, with the RISE system.
RISE guided personalization of prosthetic legs by prosthetists
The control parameters of the prosthetic leg prototype is decided by prosthetists without detailed knowledge about the prosthetic leg with the help of developed RISE system
Interventions
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RISE guided personalization of prosthetic legs by tuning experts
The personalization procedure is conducted by tuning experts based on the recommendation of RISE system
RISE guided personalization of prosthetic legs by prosthetists
The control parameters of the prosthetic leg prototype is decided by prosthetists without detailed knowledge about the prosthetic leg with the help of developed RISE system
Manual personalization of the prosthetic leg by tuning experts
The control parameters of the prosthetic legs are decided by tuning experts based on their knowledge of the prosthetic leg prototypes and patients' response.
Eligibility Criteria
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Inclusion Criteria
* More than one year after amputation
* Using current prosthetic socket and leg for more than three months
* No major skin issues on the residual limb for more than six months
* Can walk for more than 4 minutes continuously without any other assistive devices
Exclusion Criteria
* Are \<1.50m in height or \>116Kg in weight (who would not fit our prosthesis or the PowerKnee)
* Have cognitive, visual, audio impairments that would affect their ability to give informed consent or to follow simple Instructions during the experiments
* Have any significant co-morbidity that interferes with the study (e.g. stroke, pacemaker placement, pain, etc.).
18 Years
75 Years
ALL
No
Sponsors
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Arizona State University
OTHER
University of North Carolina, Chapel Hill
OTHER
North Carolina State University
OTHER
Responsible Party
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He Huang
Professor
Principal Investigators
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He (Helen) Huang, PhD
Role: PRINCIPAL_INVESTIGATOR
NC State University
Locations
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North Carolina State University
Raleigh, North Carolina, United States
Countries
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Central Contacts
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Facility Contacts
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Provided Documents
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Document Type: Informed Consent Form
Other Identifiers
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U.S. NIH 1R01HD116422-01A1
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
28186
Identifier Type: -
Identifier Source: org_study_id
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