Towards Efficient Personalization of Computerized Lower Limb Prostheses Via Reinforcement Learning in a Clinical Setup - Group 1

PHASE1RecruitingINTERVENTIONAL
Enrollment

24

Participants

Timeline

Start Date

August 1, 2025

Primary Completion Date

July 31, 2031

Study Completion Date

October 30, 2031

Conditions
Transfemoral Amputation
Interventions
DEVICE

RISE guided personalization of prosthetic legs by tuning experts

The personalization procedure is conducted by tuning experts based on the recommendation of RISE system

DEVICE

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

DEVICE

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.

Trial Locations (1)

27695

RECRUITING

North Carolina State University, Raleigh

All Listed Sponsors
collaborator

Arizona State University

OTHER

collaborator

University of North Carolina, Chapel Hill

OTHER

lead

North Carolina State University

OTHER

NCT07204925 - Towards Efficient Personalization of Computerized Lower Limb Prostheses Via Reinforcement Learning in a Clinical Setup - Group 1 | Biotech Hunter | Biotech Hunter