ABSTRACT

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.

chapter 1|36 pages

Introduction

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chapter 2|51 pages

EEG Generation and Measurement

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chapter 3|65 pages

Signal Processing in EEG Analysis

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chapter 4|17 pages

Classifying the EEG

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chapter 5|42 pages

Seizure Detection

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chapter 6|47 pages

Modeling for Epilepsy

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chapter 7|42 pages

On the Predictability of Seizures

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chapter 8|3 pages

Concluding Remarks

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