Comparison of a clinical gait analysis method using videography and temporal-distance measures with 16-mm cinematography.
W A Stuberg, V L Colerick, D J Blanke...
https://pubmed.ncbi.nlm.nih.gov/3399519Actively Recruiting
Age: 18Years - 26Years
All Genders
ID06157749
Validity and Reliability of a Smartphone Application for Gait Assessment
Led by Istanbul University - Cerrahpasa · Updated on 2025-03-24
34
Participants Needed
1
Research Sites
8 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are evaluating the accuracy and reliability of a smartphone application called Gait-Analyzer for assessing human walking patterns. This study compares Gait-Analyzer with the established gold standard, three-dimensional computerized gait analysis, which is currently the most precise but costly and time-consuming method. The study aims to determine if the smartphone application can provide valid and reliable spatiotemporal walking parameters similar to the 3D gait analysis systems. Participants who are healthy adults aged 18 to 26 will be divided into two groups. One group will undergo gait analysis first using the 3D computerized system, and the other group will start with the Gait-Analyzer smartphone application. The walking tests will be performed on a 10-meter flat surface at a normal walking speed. This setup allows comparison of the two methods' measurements under similar conditions. During the study, participants will provide voluntary consent and be monitored as they walk using both gait analysis methods. Researchers will measure changes from baseline in gait parameters at the first week using both the 3D computerized system and the smartphone app. Data collected will help assess the validity and reliability of the smartphone application for clinical gait assessment. The study is expected to run until September 2025.
CONDITIONS
Brief Title
Gait Assessment Via Telephone Application
Who Can Participate
Age: 18Years - 26Years
All Genders
Eligibility Criteria
You may qualify if you...
- Age between 18 and 26 years
- Body Mass Index (BMI) within normal limits (18.5-24.9 kg/m2)
You will not qualify if you...
- Presence of lower extremity rotational problems such as high femoral anteversion, internal tibial torsion, or 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
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
1
2
3
Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Diagnostic Evaluation
Duration - 1 week
Participants undergo gait analysis using either 3D computerized gait analysis or the Gait-Analyzer smartphone application on a 10-meter flat surface while walking at normal speed.
1 visit (in-person)
Long-term Monitoring
Duration - Up to 1 week after diagnostic evaluation
Participants are observed for changes from baseline after the initial gait analysis.
No additional visits required
Trial Site Locations
Total: 1 location
1
Acibadem Mehmet Ali Aydinlar University
Istanbul, Turkey (Türkiye), 34752
Actively Recruiting
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Research Team
A
Ayşenur Erekdağ, MSc
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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Monica J Finkbiner, Kira M Gaina, Marie C McRandall...
https://pubmed.ncbi.nlm.nih.gov/28362382A novel smartphone application is reliable for repeat administration and comparable to the Tekscan Strideway for spatiotemporal gait.
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https://pubmed.ncbi.nlm.nih.gov/35369360