Publications
Article · 대한전자공학회 학술대회 · June 1, 2010
일반아동 및 발달장애아동의 뇌파차이에 따른 군집화 분석
이승현, 강원석, Berdakh Abibullaev, 안진웅
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) is a relatively common behavioral disorder that represented impaired concentration, inattention, and impulsive behavior. Recently, biological research of the ADHD has been developed actively. In this paper, we perform the clustering of normal children and ADHD children using Self Organizing Map (SOM) technique based EEG. The two stage analysis has been done. For pre-processing stage we employed discrete wavelet transform (DWT) to obtain a significant EEG power spectrum. In the next stage, we applied Self-Organizing Map clustering technique to discriminate electrical brain activity of ADHD children from normal children.
EEG and Brain-Computer InterfacesAttention Deficit Hyperactivity DisorderAutism Spectrum Disorder Researchattention deficit hyperactivity disorderEEGself-organizing maps
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