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Smartphone Accelerometry for Gait Analysis in Children With Unilateral Spastic Cerebral Palsy
Sponsor: Deraya University
Summary
This observational study will evaluate whether a smartphone's built-in accelerometer can provide accurate and repeatable measurements of walking in children with unilateral spastic cerebral palsy. Thirty-five children aged 6 to 12 years will complete two walking trials along a 10-meter indoor walkway at their usual comfortable speed. During each trial, a smartphone will be secured over the lower back at the L4-L5 level to record body acceleration using the Phyphox application. At the same time, a video camera will record the child's walking for analysis using Kinovea software. Measurements obtained from the smartphone will be compared with measurements obtained from video analysis. The study will assess walking velocity, cadence, stride timing, and gait asymmetry. The two repeated walking trials will also be used to determine whether the smartphone measurements are consistent when the test is repeated during the same session. The study does not involve any treatment or change to the child's usual medical or physical therapy care. The purpose is to determine whether smartphone-based gait assessment may be a practical, low-cost method for evaluating walking in children with unilateral spastic cerebral palsy.
Official title: Concurrent Validity and Test-Retest Reliability of Smartphone-Embedded Accelerometry for Spatiotemporal Gait Analysis in Children With Unilateral Spastic Cerebral Palsy
Key Details
Gender
All
Age Range
6 Years - 12 Years
Study Type
OBSERVATIONAL
Enrollment
35
Start Date
2026-07-01
Completion Date
2026-12-01
Last Updated
2026-07-28
Healthy Volunteers
No
Interventions
Smartphone-Embedded Gait Assessment
A Samsung Galaxy A7 smartphone will be secured horizontally over the participant's lower back at the L4-L5 vertebral level using an adjustable waist belt. The smartphone's built-in linear accelerometer and the Phyphox application will record movement during two 10-meter walking trials performed at a comfortable, self-selected speed. Simultaneous video recordings will be analyzed using Kinovea software as the reference method. Walking velocity, cadence, stride timing, and gait asymmetry will be calculated. The two trials will be separated by a seated rest period of 5 to 10 minutes.
Locations (1)
Deraya university, faculty of pharmacy
Minya, Menia Governorate, Egypt