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Evaluating Therapeutic Effects of ADHD Medication Objectively by Movement Quantification with a Video-Based Skeleton
Chen-Sen Ouyang1, Yi-Hung Chiu1, Ching-Tai Chiang2
1Department of Information Engineering, I-Shou University, Kaohsiung 840, Taiwan.
International Journal of Environmental Research and Public Health
|September 10, 2021
Summary
This study introduces an objective method using AI to track movement in children with ADHD, evaluating medication effectiveness. The new approach offers a reliable alternative to subjective ADHD assessment scales.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Pediatrics
Background:
- Attention-deficit/hyperactivity disorder (ADHD) is a prevalent pediatric neuropsychiatric condition.
- Current ADHD therapeutic effect evaluations rely on subjective rating scales.
- Objective and automated assessment tools are needed for ADHD treatment monitoring.
Purpose of the Study:
- To develop and validate an objective, automated method for assessing ADHD medication efficacy.
- To utilize movement quantification from video analysis for evaluating therapeutic responses.
Main Methods:
- Employed OpenPose for automatic skeleton detection in outpatient videos of 25 ADHD patients.
- Calculated 11 skeleton parameter series and extracted 33 features using autocorrelation and variance analysis.
- Compared features before and after methylphenidate treatment.
Main Results:
- Significant decreases were observed in specific autocorrelation and variance features post-medication.
- Four features related to original series autocorrelation and 11 features related to differenced series autocorrelation and original series variance showed significant changes.
- The automated system demonstrated sensitivity to methylphenidate's therapeutic effects.
Conclusions:
- The proposed movement quantification approach provides an objective and automatic tool for evaluating ADHD medication effects.
- This method can assist clinicians in monitoring treatment outcomes for ADHD patients.
- Objective movement analysis shows promise for enhancing ADHD patient care and management.
