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The aim of this study was to build a machine learning model to discriminate Attention Deficit Hyperactivity Disorder (ADHD) patients and healthy controls using information from both time and frequency analysis of Event Related Potentials (ERP) obtained from Electroencephalography (EEG) signals while participants performed an auditory oddball task. The study included 23 unmedicated ADHD patients and...
Functional near infrared spectroscopy (fNIRS) is a noninvasive optical imaging technique which unables the measurements of the oxy-hemoglobin and deoxy-hemoglobin (metabolic) changes associated with cognitive activity. The proposed system uses fNIRS to detect neural activities arising from an auditory oddball task at preforontal cortex. In this paper data analysis of the fNIRS measurements acquired...
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