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Topological Feature Search Method for Multichannel EEG: Application in ADHD classification
April 11, 2024, 4:41 a.m. | Tianming Cai, Guoying Zhao, Junbin Zang, Chen Zong, Zhidong Zhang, Chenyang Xue
cs.LG updates on arXiv.org arxiv.org
Abstract: In recent years, the preliminary diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) using electroencephalography (EEG) has garnered attention from researchers. EEG, known for its expediency and efficiency, plays a pivotal role in the diagnosis and treatment of ADHD. However, the non-stationarity of EEG signals and inter-subject variability pose challenges to the diagnostic and classification processes. Topological Data Analysis (TDA) offers a novel perspective for ADHD classification, diverging from traditional time-frequency domain features. Yet, conventional TDA …
abstract adhd application arxiv attention classification cs.lg deficit diagnosis eeg eess.sp efficiency feature however pivotal researchers role search stat.ap treatment type
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