Smartphone Accelerometry for Gait Analysis in Children With Unilateral Spastic Cerebral Palsy
Concurrent Validity and Test-Retest Reliability of Smartphone-Embedded Accelerometry for Spatiotemporal Gait Analysis in Children With Unilateral Spastic Cerebral Palsy
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.
調査の概要
状態
状態
条件
条件
介入・治療
介入・治療
詳細な説明
Children with unilateral spastic cerebral palsy may have differences in walking speed, step timing, cadence, and symmetry between the affected and unaffected lower limbs. Instrumented gait laboratories can provide detailed gait measurements, but they may be expensive, time-consuming, or unavailable in many clinical settings. Smartphones contain built-in motion sensors that may offer a simpler and more accessible method of measuring gait.
This methodological validation study will examine the concurrent validity and intra-session test-retest reliability of smartphone-embedded linear accelerometry for the assessment of spatiotemporal gait parameters in children with unilateral spastic cerebral palsy.
A convenience sample of 35 children will be recruited from the Deraya University outpatient clinic. Eligible participants will be 6 to 12 years of age, have a clinical diagnosis of unilateral spastic cerebral palsy, and be classified as Gross Motor Function Classification System level I or II.
Each participant will attend one assessment session. A Samsung Galaxy A7 smartphone will be secured horizontally over the lower back at the L4-L5 vertebral level using an adjustable waist belt. This location is intended to approximate the body's center of mass. The smartphone's internal linear accelerometer will record movement data using the Phyphox application.
Participants will walk at a comfortable, self-selected speed along a flat, unobstructed 10-meter indoor walkway. At the same time, a high-definition video camera mounted on a stable tripod will record the walking trial from a perpendicular distance of approximately 3 meters. The video recordings will be analyzed frame by frame using Kinovea software and will serve as the reference method.
Each child will complete two identical walking trials during the same session. The trials will be separated by a seated rest period of approximately 5 to 10 minutes to reduce fatigue. No therapeutic intervention will be administered, and the child's usual medical or physical therapy care will not be changed.
Data obtained from the smartphone accelerometer and the video analysis will be used to calculate walking velocity, cadence, stride timing, and gait asymmetry. Smartphone-derived measurements will be compared with the corresponding Kinovea-derived measurements to evaluate concurrent validity. Measurements from the first and second walking trials will also be compared to evaluate intra-session test-retest reliability.
The study is intended to determine whether smartphone-based accelerometry can provide valid and repeatable gait measurements that may be useful as a practical, non-invasive, and low-cost clinical assessment method for children with unilateral spastic cerebral palsy.
研究の種類
研究の種類
入学 (推定)
入学
連絡先と場所
研究連絡先
研究連絡先
- 名前:Shereen Ali Amin
- 電話番号:+20 01112929145
- メール:Shereen.ali@deraya.edu.eg
研究場所
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Menia Governorate
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Minya、Menia Governorate、エジプト
- 募集
- Deraya university, faculty of pharmacy
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コンタクト:
- Aliaa Gamal Hussien
- 電話番号:+20 1003041632
- メール:aliaa.gamal@deraya.edu.eg
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参加基準
適格基準
適格基準
就学可能な年齢
- 子
健康ボランティアの受け入れ
サンプリング方法
調査対象母集団
説明
Inclusion criteria:
- 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.
Exclusion criteria:
- 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
研究計画
研究はどのように設計されていますか?
デザインの詳細
グループ/コホートの数
コホートと介入
グループ/コホートグループ/コホート |
介入・治療介入・治療 |
|---|---|
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Children With Unilateral Spastic Cerebral Palsy
A convenience sample of 35 children aged 6 to 12 years with unilateral spastic cerebral palsy and Gross Motor Function Classification System levels I or II.
All participants will complete two 10-meter walking trials while smartphone accelerometry and simultaneous 2-dimensional video gait analysis are performed.
No treatment will be assigned or modified.
|
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.
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この研究は何を測定していますか?
主要な結果の測定
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Walking Velocity Measured by Smartphone Accelerometry
時間枠:Baseline
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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.
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Baseline
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Cadence Measured by Smartphone Accelerometry
時間枠:Baseline
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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.
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Baseline
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Gait Asymmetry Index
時間枠:Baseline
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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.
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Baseline
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協力者と研究者
出版物と役立つリンク
一般刊行物
- Balsalobre-Fernandez C, Tejero-Gonzalez CM, del Campo-Vecino J, Bavaresco N. The concurrent validity and reliability of a low-cost, high-speed camera-based method for measuring the flight time of vertical jumps. J Strength Cond Res. 2014 Feb;28(2):528-33. doi: 10.1519/JSC.0b013e318299a52e.
- Schow, E., Bugge, C., & Jensen, K. (2014). Trunk accelerometry using a smartphone for standard clinical gait evaluation: A reliability study. Journal of NeuroEngineering and Rehabilitation, 11(1), 37.
- Plotnik M, Giladi N, Hausdorff JM. A new measure for quantifying the bilateral coordination of human gait: effects of aging and Parkinson's disease. Exp Brain Res. 2007 Aug;181(4):561-70. doi: 10.1007/s00221-007-0955-7. Epub 2007 May 15.
- Fernández-González, P., Carratalá-Tejada, M., Monge-Pereira, E., & Miangolarra-Page, J. C. (2020). Reliability and validation of 2D video analysis using Kinovea software for assessment of spatiotemporal gait parameters. Medical Engineering & Physics, 78, 45-51.
- Almqvist, L., & Riad, J. (2020). Accelerometer-based gait analysis in children with cerebral palsy: Validation and clinical utility of spatiotemporal parameters. Developmental Medicine & Child Neurology, 62(7), 834-840.
- Silsupadol P, Teja K, Lugade V. Reliability and validity of a smartphone-based assessment of gait parameters across walking speed and smartphone locations: Body, bag, belt, hand, and pocket. Gait Posture. 2017 Oct;58:516-522. doi: 10.1016/j.gaitpost.2017.09.030. Epub 2017 Sep 23.
- Staacks, S., Hütz, S., Heinke, H., & Stampfer, J. (2018). Advanced smartphone-based experiments with phyphox. Physics Education, 53(4), 045009.
研究記録日
主要日程の研究
研究開始 (実際)
研究開始
一次修了 (推定)
一次修了
研究の完了 (推定)
研究の完了
試験登録日
最初に提出
最初に提出
QC基準を満たした最初の提出物
QC基準を満たした最初の提出物
最初の投稿 (実際)
最初の投稿
学習記録の更新
投稿された最後の更新 (実際)
投稿された最後の更新
QC基準を満たした最後の更新が送信されました
QC基準を満たした最後の更新が送信されました
最終確認日
最終確認日
詳しくは
本研究に関する用語
その他の研究ID番号
その他の研究ID番号
- PT-USCP-GAIT-01
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