Wavelet-based approach for diagnosing attention deficit hyperactivity disorder (ADHD).

ABSTRACT: Attention deficit hyperactivity disorder (ADHD) is a common cognitive disorder affecting children. ADHD can interfere with educational, social, and emotional development, so early detection is essential for obtaining proper care. Standard ADHD diagnostic protocols rely heavily on subjective assessments of perceived behavior. An objective diagnostic measure would be a welcome development and potentially aid in accurately and efficiently diagnosing ADHD. Analysis of pupillary dynamics has been proposed as a promising alternative method of detecting affected individuals effectively. This study proposes a method based on the self-similarity of pupillary dynamics and assesses its strength as a potential diagnostic biomarker. Localized discriminatory features are developed in the wavelet domain

SUBMITTER: Vimalajeewa D 

PROVIDER: S-EPMC9763347 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature