Open Science Framework
Signal processing, feature extraction, and machine learning models for EEG-based computer-aided diagnosis of ADHD: a scoping review (2021–2026)
By Carlos Alberto Castillo-Daza, BRAYAN ANDRES RUIZ CORTES, Erika Lorena Rosero Alzate and 1 others.
Abstract
Scoping review mapping the computational pipeline (preprocessing, feature extraction, machine/deep learning models and validation strategies) used for EEG-based computer-aided diagnosis of ADHD in studies published 2021–2026. Conducted following JBI guidance and reported according to PRISMA-ScR.
Keywords
- Attention Deficit Hyperactivity Disorder
- Feature (linguistics)
- Pipeline (software)
- SIGNAL (programming language)
- Feature selection
- Feature learning
- Pattern recognition (psychology)
- Open access
Source
Published in Open Science Framework. The abstract is shown as published and remains the work of its authors; read the full article at the source.
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