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Predicting Epileptic Seizures

  • Robert Savit
Part of the Biological and Medical Physics Series book series (BIOMEDICAL)

Abstract

In this chapter we will be interested in methods for anticipating seizures. It would, of course, be best if one could predict seizure occurrence with absolute accuracy and indefinitely into the future. But that is not likely to happen. One could reasonably hope to make such predictions in a fairly simple, nonchaotic, autonomous system. But the brain is not such a system. However, a more modest goal may be achievable. There is reason to believe that seizure prediction with reasonable confidence minutes to tens of minutes ahead may be possible, at least in some patients. Such an achievement would be a great boon to treatment and to the quality of life of patients with epilepsy. First, it would open up the possibility of interventive measures that might abort the seizure. But even if that were not possible, a few minutes warning could be invaluable. It would allow a patient with epilepsy to stop a potentially risky activity in which they were engaged, and find a safe situation in which to be when the seizure occurred.

Keywords

Epileptic Seizure Temporal Lobe Epilepsy Seizure Onset Seizure Focus Nonlinear Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Robert Savit

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