Automated EEG-Based Diagnosis of Neurological Disorders

Based on the authors' ground-breaking research, this book presents a novel approach for automated EEG-based diagnosis of neurological disorders such as epilepsy. The authors have developed an innovative method that has been shown to diagnose epilepsy and detect seizure with an accuracy rate of 96%. Their method is based on the adroit integration of three computing and problem solving paradigms: neural networks, wavelets, and chaos theory. The text introduces each of these computing paradigms along with a number of sophisticated mathematical algorithms. It concludes with applications of the method to epilepsy and to Alzheimer's disease.

Hojjat Adeli is the Abba G. Lichtenstein Professor at The Ohio State University, Editor-in-Chief of the International Journal of Neural Systems, and author of 14 pioneering books. Samanwoy Ghosh-Dastidar is Principal Biomedical Engineer at ANSAR Medical Technologies in Philadelphia. Nahid Dadmehr is a board-certified neurologist in practice in Ohio since 1991.

Introduction and Basic Concepts. Automated EEG-Based Diagnosis of Epilepsy. Automated EEG-Based Diagnosis of the Alzheimer's Disease. The Next Generation of Neural Networks: Spiking Neural Networks.