Statistical Analysis Of EEG Data For Attention Deficit Hyperactivity Disorder

Abstract

The "psychiatric disorder" has a fine distinction between it and other mental disorders. A psychiatric disorder assessment provides feedback of how a person thinks, feels, reasons, and remembers to a clinician. This behavioral trait of human beings is monitored by the brain, in the form of signals called neuro-electric impulses. EEG is the well-known and effective way for acquiring these brain signals. It is the non-invasive, portable, wireless, easy to use modality and it does not require experience for obtaining brain signals. ADHD (Attention Deficit/ Hyperactivity Condition) is the most frequent and challenging neurobehavioral and mental disorder in children, adolescents, and adults. Research work analyzing EEG data (https://ieee-dataport.org/open-access/eeg-data-adhd-control-children) that has been clinically proven in presented paper. The absolute FFT values of EEG signals are calculated in Python using NumPy. The features obtained are then analyzed statistically. An implementation of statistical techniques (Tukey’s post hoc test) marked clear distinction in ADHD and control group.