Gait Assessment Via Telephone Application
Recruiting now
Conditions studied: Health, Subjective
In brief
The evaluation of human gait is a crucial component of the clinical assessment and decision-making process. The gold standard in gait analysis is computerized gait analysis, which allows for three-dimensional digital data acquisition through computers (3D Computerized Gait Analysis). However, this technology is not readily accessible in routine analyses, as it proves to be a time-consuming and expensive endeavor in terms of infrastructure and human resources. The utilization of smartphones in clinical applications is on the rise, facilitated by the increasing accessibility of low-cost or free "applications," thereby addressing the limitations associated with traditional gait analysis methods. The Gait-Analyzer application is among the mentioned applications. However, in the literature, no evidence has been found regarding the validity and reliability of Gait-Analyzer application compared to the gold standard 3D computerized gait analysis systems within the context of gait analyses. The aim of this study is to comparatively examine the effectiveness of the Gait-Analyzer smartphone application with established 3D Computerized Gait Analysis systems, which have proven validity and reliability in gait analyses. Through this research, the study intends to elucidate the validity and reliability of spatiotemporal parameters of walking within the Gait-Analyzer smartphone application.
Key facts
- Study ID
- NCT06157749
- Run by
- Istanbul University - Cerrahpasa
- People needed
- 34
- Starts
- 2024-07-31
- Expected to finish
- 2025-09-01
- Last updated by the study team
- 2025-03-24
Who can join
Age: 18 and older, up to 26. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Age between 18 and 26 years.
- Body Mass Index (BMI) within normal limits (18.5-24.9 kg/m2)
You may not qualify if…
- Presence of lower extremity rotational problems (such as high femoral anteversion, internal tibial torsion, metatarsus adductus).
- History of Botulinum Toxin Type A (BoNT-A) application or surgery within the last 6 months.
- History of lower extremity injury within the last 6 months.
- Leg length discrepancy.
- Presence of third-degree pes planus.
- Any neurological, rheumatic, musculoskeletal, metabolic, or connective tissue diseases.
- History of pain, deformity, or surgery related to the vertebral column and upper extremities.
- Presence of cognitive, mental, and/or severe psychiatric disorders
Where it is running
- Acibadem Mehmet Ali Aydinlar University — Istanbul, Turkey (Türkiye) (enrolling)
Full record on ClinicalTrials.gov
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