Unveiling Multivariate EEG Features: A Novel Approach to Enhancing ADHD Diagnosis Through Visual and Auditory Attention Tests

Zuo Cian Fan*, Ro Wei Lin, Ching Shu Tsai, Wen Jiun Chou, Chia Jung Li, Zih Jun Huang, Bin Yu Shih, Liang Jen Wang*, Li Wei Ko*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

We sought to revolutionize the classification of Attention-Deficit/Hyperactivity Disorder (ADHD) by pioneering an innovative approach that seamlessly integrated auditory and visual tests with electroencephalogram (EEG) coherence analysis, forming the foundation for our Support Vector Machine (SVM) models. Our primary objective was to achieve precise differentiation between individuals with ADHD and those without, aiming to reshape the landscape of ADHD diagnosis and early intervention. We constructed an SVM model based on CATA coherence, incorporating a carefully selected set of 180 features, and another grounded in CPT coherence with 70 features. Astonishingly, our exploration uncovered that a model incorporating CATA's coherence and Power Spectral Density (PSD) as features achieved an astounding accuracy rate of 97.7%, using only half the number of features. This revelation hints at untapped potential for multivariate advancements in the realm of ADHD classification. The landscape of ADHD diagnosis and intervention is perpetually evolving, most notably with the FDA's approval of game therapy for ADHD. Leveraging the transformative power of our findings, we envision the development of user-friendly game therapies for in-home use, empowering both clinicians and parents alike. This marks a paradigm shift in the realm of ADHD intervention, offering objective, data-driven tools for the early management of ADHD. Gamified therapy not only enhances accessibility but also fosters engagement and compliance, all of which are pivotal in the long-term care of individuals with ADHD. In summary, our study represents a significant advancement in our comprehension and classification of ADHD. By fusing auditory and visual tests with EEG coherence analysis, fortified by state-of-the-art machine learning techniques, we have achieved an unprecedented level of accuracy in identifying individuals with ADHD. Our findings, aligned with the FDA-approved game therapy, offer a glimpse into a future where technology and neuroscience collaborate synergistically to enrich the lives of those affected by ADHD.

原文English
主出版物標題2023 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350305791
DOIs
出版狀態Published - 2023
事件2023 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2023 - Penghu, Taiwan
持續時間: 26 10月 202329 10月 2023

出版系列

名字2023 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2023

Conference

Conference2023 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2023
國家/地區Taiwan
城市Penghu
期間26/10/2329/10/23

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