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Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Robot Assisted Gait Training

Tundra lists 2 Robot Assisted Gait Training clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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ENROLLING BY INVITATION

NCT07578753

Clinical Effectiveness of Robot-assisted Gait Training in Patients With Lower Limb Burns Accompanied by Fractures: Pilot Study

Gait dysfunction, common in patients with lower limb burns accompanied by fractures, requires acute rehabilitation. This study investigated the clinical effects of robot-assisted gait training (RAGT) on gait function in patients with lower limb burns accompanied by fractures. In this preliminary study, RAGT will be conducted using an end-effector-type gait-training robot. Participants will receive 60 min of gait training daily (30 min of conventional gait training and 30 min of RAGT) for 8 weeks. We plan to conduct clinical evaluations related to gait function of the participants included in the preliminary study before training and after 8 weeks of training.

Gender: All

Ages: 18 Years - 70 Years

Updated: 2026-05-11

Burn
Fracture
Robot Assisted Gait Training
RECRUITING

NCT07087743

Virtual Reality-Integrated Propulsion Feedback for Stroke Rehab

This study evaluates a novel Virtual Reality (VR)-integrated visual feedback system designed to enhance limb propulsion during robot-assisted gait rehabilitation in individuals post-stroke. In collaboration with CUREXO, a rehabilitation robotics company, the system is embedded within the Morning Walk® end-effector robot and provides real-time visual feedback to facilitate symmetrical use of the paretic and non-paretic limbs. The goal is to address gait asymmetry commonly observed in hemiparetic stroke survivors by promoting improved paretic leg propulsion, which is a key contributor to forward movement during walking. A total of 30 participants (15 stroke, 15 healthy controls) aged 20 years or older will undergo single-session gait training using the VR-robot system. Participants will be assessed using spatiotemporal gait parameters, muscle activity, foot pressure, and vertical ground reaction forces. Additional safety measures-including a saddle-type weight support and real-time heart rate monitoring via smartwatch-are implemented to ensure a safe and controlled training environment. This study aims to test the feasibility and effectiveness of this VR-based system in improving gait symmetry and functional walking capacity in people recovering from stroke.

Gender: All

Ages: 20 Years - Any

Updated: 2026-04-01

1 state

Stroke
Robot Assisted Gait Training
Virtual Reality