ADHD classification using spherical phase space partitioning and symbolic time series analysis of multi-channel EEG signals
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common neurodevelopmental disorders in children, making early detection and intervention critically important. In this study, we propose a novel EEG based classification framework for ADHD that integrates advanced nonlinear signal analysis with deep lea...