Robot-Assisted Gait Training vs Visual Feedback Balance Training in Stroke
Recruiting now · Not applicable
Conditions studied: Stroke, Gait Impairment, Balance Impairment
In brief
Stroke frequently leads to balance impairment and gait dysfunction, increasing fall risk and limiting functional independence. Technology-assisted rehabilitation approaches such as robot-assisted gait training and visual feedback balance training have been shown to improve balance and mobility in stroke patients. This randomized, assessor-blinded clinical trial aims to compare the effects of robot-assisted gait training and visual feedback balance training on balance and gait outcomes in patients with subacute and chronic stroke. Both interventions are part of routine clinical rehabilitation practice. Participants will be evaluated at baseline and after 4 weeks of intervention using clinical balance, gait, and functional assessments.
Key facts
- Study ID
- NCT07471919
- Run by
- Abant Izzet Baysal University
- People needed
- 60
- Starts
- 2026-03-15
- Expected to finish
- 2026-08-15
- Last updated by the study team
- 2026-03-18
Who can join
Age: 21 and older, up to 85. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Age 21-85 years
- Diagnosis of ischemic or hemorrhagic stroke confirmed by clinical and radiological findings
- Functional Ambulation Category (FAC) ≥ 3
- Modified Ashworth Scale ≤ 2 (lower extremity)
- Ability to understand and follow simple verbal instructions
- Mini-Mental State Examination (MMSE) score ≥ 23
You may not qualify if…
- Unstable cardiopulmonary conditions
- Severe musculoskeletal disorders affecting standing or walking
- Severe aphasia preventing participation in assessments
- Severe visual impairment interfering with balance testing
Where it is running
- AIBU Izzet Baysak Physical Treatment and Rehabilitation Hospital — Bolu, Turkey (Türkiye) (enrolling)
Full record on ClinicalTrials.gov
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