Epileptic Seizures and the EEG: Measurement, Models, Detection and PredictionA 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. |
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activity algorithms analysis applied average behavior brain changes channels Chapter charge classifier column complex computed conductivity correlation cortex cortical Dataset defined depends described detail detection determine dimension dipoles discussed distribution dynamics effects electrical electrodes epilepsy epileptic epileptic seizures Equation estimate example exist expert extracted field Figure filtering frequency function given Group hour important input known larger limited linear mathematical mean measurement memory methods neural neurons noise non-linear normal observed occur onset output parameters patient performance positive possible potential prediction presented problem properties random range recording reference relative removed representative resolution samples scales scalp seconds seizure shown shown in Figure shows signal simulated single sources spatial specific statistics structure synchronization temporal typical values volume wavelet window