Comparative analysis of electroencephalogram (EEG) data gathered from the frontal region with other brain regions affected by attention deficit hyperactivity disorder (ADHD) through multiresolution analysis and machine learning techniques

• Published in: Applied neuropsychology. Child pp. 1 - 15
• Main Authors: Deshmukh, Manjusha, Khemchandani, Mahi, Thakur, Paramjit Mahesh
• Format: Journal Article
• Language: English
• Published: United States 01.10.2024
• Subjects: electroencephalography; discrete wavelet transform; empirical mode decomposition; machine learning; Attention deficit hyperactivity disorder

Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by repeated patterns of hyperactivity, impulsivity, and inattention that limit daily functioning and development. Electroencephalography (EEG) anomalies correspond to changes in brain connection and activi...