Published January 1, 2022
| Version v1
Journal article
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Using electrooculography with visual stimulus tracking test in diagnosing of ADHD: findings from machine learning algorithms
- 1. Erciyes Univ, Fac Engn, Dept Biomed Engn, Kayseri, Turkey
- 2. Erciyes Univ Sch Med, Dept Child & Adolescent Psychiat, Kayseri, Turkey
Description
Background/aim: Attention deficit hyperactivity disorder (ADHD), one of the most common neurodevelopmental disorders in childhood, is diagnosed clinically by assessing the symptoms of inattention, hyperactivity, and impulsivity. Also, there are limited objective assessment tools to support the diagnosis. Thus, in this study, a new electrooculography (EOG) based on visual stimulus tracking to support the diagnosis of ADHD was proposed.
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