Epileptic Seizures and the EEG

A study of epilepsy from an engineering perspective, this volume begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG and provides an explanation of the type of brain activity likely to register in EEG measurements, offering an overview of how these EEG records are and have been analyzed in the past. The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, it addresses the fundamental question: can seizures be predicted? Based on the authors' extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.

Andrea Varsavsky and Iven Mareels are with The University of Melbourne in Victoria, Australia. Mark Cook is with St. Vincent's Hospital and the University of Melbourne in Victoria, Australia.

Introduction. EEG Generation and Measurement. Signal Processing in EEG Analysis. Classifying the EEG. Seizure Detection. Modeling for Epilepsy. On the Predictability of Seizures. Concluding Remarks.