Actively Recruiting
Prediction of ADHD in Children Using Pedobarographic and Postural Data
Led by Biruni University · Updated on 2025-09-18
100
Participants Needed
1
Research Sites
42 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The aim of this study is to investigate the potential of postural control and plantar pressure data in predicting Attention Deficit Hyperactivity Disorder (ADHD) in middle school students using machine learning methods. A total of 100 students will participate, including those identified with symptoms of ADHD and healthy controls. Participants will undergo non-invasive biomechanical assessments, including pedobarographic foot pressure measurement and mobile posture analysis. Behavioral data will be collected using DSM-IV-based rating scales developed by Atilla Turgay, completed separately by parents, teachers, and caregivers. All data will be used to develop predictive models using algorithms such as random forest, logistic regression, and support vector machines. The study is observational and cross-sectional.
CONDITIONS
Official Title
Prediction of ADHD in Children Using Pedobarographic and Postural Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Students attending a middle school located in Eyüpsultan district
- Informed consent obtained from their parents
- Students enrolled in full-time education
- Children with age-appropriate motor development skills
You will not qualify if you...
- Children who have undergone orthopedic interventions due to lower extremity or spinal deformities
- Children with congenital or acquired neuromuscular disorders
- Children with significant visual or auditory impairments
- Children with systemic diseases
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Biruni University, Faculty of Health Sciences
Istanbul, Turkey (Türkiye)
Actively Recruiting
Research Team
G
Güzin Kaya Aytutuldu, Asst prof.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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