Abstract
In this Keynote Lecture an overview of the author's research for automated electroencephalogram (EEG)-based diagnosis of neurological disorders is presented. Sample research and wavelet-chaos-neural network models developed by the author and his research associates in recent years for diagnosis of epilepsy, Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorder (ASD), and the Alzheimer's Disease (AD) are reviewed briefly. The significant impact of this research on the future of neurology practice and its ramification are discussed. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Adeli, H. (2010). Wavelet-chaos-neural network models for EEG-based diagnosis of neurological disorders. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6485 LNCS, pp. 1–11). https://doi.org/10.1007/978-3-642-17569-5_1
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