Smartphone Accelerometry for Gait Analysis in Children With Unilateral Spastic Cerebral Palsy
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age6-12
SponsorDeraya University
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Clinical diagnosis of unilateral spastic cerebral palsy.
Chronological age ranging from 6 to 12 years.
Gross Motor Function Classification System (GMFCS) Level I or II (capable of walking 10 meters independently without physical support or handheld mobility aids).
Ability to comprehend and execute simple verbal instructions during clinical evaluation.
Disqualifiers
History of lower extremity corrective orthopedic surgery or joint casting within the preceding 12 months.
Botulinum Toxin Type A injections administered to the lower limbs within the past 6 months.
Fixed structural bony deformities or rigid joint contractures in the lower extremities.
Severe, uncorrected visual or auditory deficits that threaten safety or test execution
Trial population
A convenience sample of children aged 6 to 12 years with a clinical diagnosis of unilateral spastic cerebral palsy will be recruited from the Deraya University outpatient clinic. Eligible participants will be classified as Gross Motor Function Classification System level I or II and must be able to walk independently for 10 meters without physical assistance or handheld mobility aids. Participants must also be able to understand and follow simple verbal instructions required for gait assessment.
Trial design
Design model
Cohort
Time perspective
Cross-sectional
Treatments tested in this trial
Smartphone-Embedded Gait Assessment
Diagnostic testA 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.
Treatment groups
35 Participants
are divided into 1 treatment groupGroup A: Children With Unilateral Spastic Cerebral Palsy1 intervention
Trial outcomes
Primary outcomes
1
Walking Velocity Measured by Smartphone Accelerometry
Walking velocity, expressed in meters per second, will be calculated by dividing the 10-meter walking distance by the time required to complete the walkway. Velocity derived from smartphone linear accelerometry using the Phyphox application will be compared with velocity obtained from frame-by-frame 2-dimensional video analysis using Kinovea software.
Time frame
Baseline2
Cadence Measured by Smartphone Accelerometry
Cadence, expressed as steps per minute, will be calculated from acceleration peak intervals recorded by the smartphone using the Phyphox application. Smartphone-derived cadence will be compared with cadence determined by visual frame-by-frame analysis of the simultaneous Kinovea video recording.
Time frame
Baseline3
Gait Asymmetry Index
The Gait Asymmetry Index will be calculated using temporal gait data from the affected and unaffected lower limbs. The index will quantify the degree of asymmetry between the two sides. Smartphone-derived asymmetry values will be compared with values obtained from the simultaneous Kinovea video analysis. Higher values indicate greater gait asymmetry.
Time frame
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Source ClinicalTrials.gov