Automated EEG-Based Diagnosis of Neurological Disorders: Inventing the Future of Neurology

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 Alzheimers disease.