Full Description
Comprising some 30 contributions, experts from around the world present and discuss recent advances related to seizure prediction in epilepsy. The book covers an extraordinarily broad spectrum, starting from modeling epilepsy in single cells or networks of a few cells to precisely-tailored seizure prediction techniques as applied to human data. This unique overview of our current level of knowledge and future perspectives provides theoreticians as well as practitioners, newcomers and experts with an up-to-date survey of developments in this important field of research.
Contents
1. Introduction 2. From Single Cells to Complex Networks in Seizure Generation 2.1 Theoretical Approaches 2.2 Practical Approaches 3. Seizure Detection 3.1 Frameworks for Assessing Seizure Detection 3.2 Suggested Techniques and their Performance 4. Seizure Prediction 4.1 Frameworks for Assessing Seizure Prediction 4.2 Suggested Techniques and their Performance 5. Conclusion
