Gait Assessment Via Telephone Application

NCT06157749 | Recruiting

• 1 other identifier: 93402A830
• Study Type: observational
• Target: 34
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Health, Subjective

Keywords

3D Computerized Gait Analysis; Gait-Analyzer; Gait Analysis; Smartphone Application

Outcome Measures

Primary Outcomes (2)

• 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

Study Arms (2)

3D Computerized Gait Analysis

The gait analysis will be conducted through 3D computerized gait analysis.

Other: Gait analysis

Gait-Analyzer

The gait analysis will be performed using a smartphone application called Gait-Analyzer.

Other: Gait analysis

Interventions

Gait analysis OTHER

It will be carried out on a 10-meter flat surface, with the participant walking at normal walking speed.

3D Computerized Gait Analysis; Gait-Analyzer

Eligibility Criteria

• Age: 18 Years - 26 Years
• Sex: all
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

Volunteers willing to participate in the study and who meet the inclusion criteria of being healthy

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

Sponsors & Collaborators

• Istanbul University - Cerrahpasa: lead

Study Sites (1)

Acibadem Mehmet Ali Aydinlar University

Istanbul, 34752, Turkey (Türkiye)

RECRUITING

Related Publications (4)

• Stuberg WA, Colerick VL, Blanke DJ, Bruce W. Comparison of a clinical gait analysis method using videography and temporal-distance measures with 16-mm cinematography. Phys Ther. 1988 Aug;68(8):1221-5.

  PMID: 3399519 BACKGROUND

• Norris BS, Olson SL. Concurrent validity and reliability of two-dimensional video analysis of hip and knee joint motion during mechanical lifting. Physiother Theory Pract. 2011 Oct;27(7):521-30. doi: 10.3109/09593985.2010.533745. Epub 2011 May 15.

  PMID: 21568816 BACKGROUND

• Finkbiner MJ, Gaina KM, McRandall MC, Wolf MM, Pardo VM, Reid K, Adams B, Galen SS. Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study. J Vis Exp. 2017 Mar 14;(121):54659. doi: 10.3791/54659.

  PMID: 28362382 BACKGROUND

• Kelly M, Jones P, Wuebbles R, Lugade V, Cipriani D, Murray NG. A novel smartphone application is reliable for repeat administration and comparable to the Tekscan Strideway for spatiotemporal gait. Measurement (Lond). 2022 Mar 31;192:110882. doi: 10.1016/j.measurement.2022.110882. Epub 2022 Feb 11.

  PMID: 35369360 BACKGROUND

MeSH Terms

Interventions

Gait Analysis

Intervention Hierarchy (Ancestors)

Gait; Physical Examination; Diagnostic Techniques and Procedures; Diagnosis; Physical Functional Performance; Physical Fitness; Health; Population Characteristics

Study Officials

• Ayşenur Erekdağ, MSc

  Bezmialem Vakif University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Ayşenur Erekdağ, MSc

CONTACT

05548959013; aysenurerekdag@gmail.com

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: PROSPECTIVE
• Target Duration: 1 Week
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: November 27, 2023
• First Posted: December 6, 2023
• Study Start: July 31, 2024
• Primary Completion: July 1, 2025
• Study Completion: September 1, 2025
• Last Updated: March 24, 2025

Record last verified: 2025-03

Locations

TU (1)