Gait Assessment Via Telephone Application

Study Overview
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Brief Summary
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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.

Detailed Description
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Voluntary healthy participants will be included in the study. Signed voluntary consent will be obtained from participants. Participants will be divided into two groups. 3D Computerized Gait Analysis will be applied to one group first, and Gait-Analyzer smarthphone application will be applied to the other group first.

Official Title
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Validity and Reliability of a Smartphone Application for Gait Assessment

Conditions
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Health, Subjective

Intervention / Treatment
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* Other: Gait analysis


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 26 Years

Sexes Eligible for Study
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All

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| 3D Computerized Gait Analysis<br>The gait analysis will be conducted through 3D computerized gait analysis. | Other: Gait analysis<br>* It will be carried out on a 10-meter flat surface, with the participant walking at normal walking speed.<br>|
| Gait-Analyzer<br>The gait analysis will be performed using a smartphone application called Gait-Analyzer. | Other: Gait analysis<br>* It will be carried out on a 10-meter flat surface, with the participant walking at normal walking speed.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Three-Dimensional Computerized Gait Analysis | Reflective markers are placed on specific anatomical points to record varying joint angles throughout the walking cycle. Patients walk a distance of 9-10 meters, capturing records of their walking patterns and speed in everyday life, either barefoot or using assistive walking devices. | change from baseline at first week | 
| Gait-Analyzer | Gait-Analyzer is a mobile application for smartphones capable of real-time analysis of walking parameters. Using a smartphone with an Android processor and the Gait Analyzer application, directly attached to the participants' lumbar spine (nearest to L5) with a waist belt, participants will be instructed to complete 6 laps (12 forward and backward walks) on a 10-meter walking path. | change from baseline at first week | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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3D Computerized Gait Analysis, Gait-Analyzer, Gait Analysis, Smartphone Application