No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
No Study Drug
Researchers observe your health over time — no experimental treatment is given.
Ready to participate?
Review the details below, then apply to join this clinical trial.
At a Glance
Age
18 – 26
Sex
Any
Study type
Observational
Participants needed
34 (estimated)
Sponsor
Istanbul University - Cerrahpasa · Other
Who this trial is looking for
This trial is looking for young adults to compare a smartphone app for walking analysis with standard technology. Participants will help assess how reliable the app is for measuring walking patterns.
Are You a Good Fit for This Trial?
You may be able to join if
I am between 18 and 26 years old.
I have a healthy Body Mass Index (BMI) between 18.5 and 24.9.
You may not be able to join if
I have lower leg rotational problems.
I have had Botulinum Toxin treatment or surgery in the last 6 months.
I have had a lower leg injury in the last 6 months.
I have a difference in leg lengths.
I have severe flat feet.
I have any neurological, rheumatic, or musculoskeletal diseases.
I have had pain or surgery related to my back or arms.
I have cognitive or severe mental health disorders.
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
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 exp…
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.
Trial Locations
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Eligibility Criteria
Inclusion Criteria:
* Age between 18 and 26 years.
* Body Mass Index (BMI) within normal limits (18.5-24.9 kg/m2)
Exclusion Criteria:
* Presence of lower extremity rotational problems (such as high femoral anteversion, internal tibial torsion, metatarsus adductus).
* History of Botulinum Toxin Ty…
Inclusion Criteria:
* Age between 18 and 26 years.
* Body Mass Index (BMI) within normal limits (18.5-24.9 kg/m2)
Exclusion Criteria:
* 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
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