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Published on: April 1, 2018
Movement Patterns in Students Diagnosed with ADHD, Objective Measurement in a Natural Learning Environment
Mireia Sempere-Tortosa1, Francisco Fernández-Carrasco2, Ignasi Navarro-Soria2
1Department of Computer Science and Artificial Intelligence, University of Alicante, 03690 Alicante, Spain.
Children with Attention Deficit Hyperactivity Disorder (ADHD) exhibit significantly more body movement than neurotypical children. This excessive movement, particularly in the head and limbs, correlates with higher ADHD diagnostic scores, offering objective measurement possibilities.
Area of Science:
- Neuroscience
- Developmental Psychology
- Biomedical Engineering
Background:
- Attention Deficit Hyperactivity Disorder (ADHD) is a common childhood neuropsychological disorder impacting learning and social adjustment.
- Current diagnostic tools like behavior inventories lack objective observational measures.
- Hyperkinesia is a key characteristic of ADHD, prompting research into objective movement analysis.
Purpose of the Study:
- To investigate correlations between excessive movement and ADHD diagnostic scores using behavior inventories.
- To identify specific body parts exhibiting significant mobility in children with ADHD.
- To validate objective movement measurement as a diagnostic aid for ADHD.
Main Methods:
- Development of a Kinect-based application for objective movement tracking in a classroom setting.
- Measurement of body part movement in children diagnosed with ADHD and a neurotypical control group.
- Comparison of movement data with scores from ADHD Rating Scale-V and Strengths and Difficulties Questionnaire (SDQ).
Main Results:
- Children diagnosed with ADHD demonstrated significantly higher overall kinaesthetic activity compared to the neurotypical control group.
- Substantial differences in movement were observed across most measured body parts between the ADHD and control groups.
- The head exhibited the largest effect size in terms of mobility differences, indicating a primary area of hyperkinesia.
Conclusions:
- Objective movement analysis using motion capture technology can differentiate children with ADHD from neurotypical peers.
- Excessive motor activity, particularly involving the head, is a quantifiable characteristic of ADHD.
- This approach offers a promising avenue for more objective ADHD diagnosis and assessment.
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