Epilepsy as a Dynamic Disease pp 213-235 | Cite as

# Predicting Epileptic Seizures

## 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## Preview

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## References

- 1.Although different time and length scales may give rise to qualitatively different effective dynamics, there may be, in principle, calculable relations among the effective dynamics over different length and time scales. One approach to computing these relationships is that of the renormalization group and related computational schemes. There is a large literature on this subject, but its discussion is beyond the scope of this chapter.Google Scholar
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