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Seizure Detection, Prediction, and Forecasting.
1Department of Neurology, Zucker School of Medicine at Hofstra-Northwell, Great Neck, New York, U.S.A.
Seizure occurrence in epilepsy is not random but follows cyclic rhythms across various timescales. This understanding is driving the development of innovative devices for seizure detection and prediction.
Area of Science:
- Neurology
- Biomedical Engineering
- Chronobiology
Background:
- Epilepsy patients experience significant distress due to the perceived unpredictability of seizures.
- Historically, seizure occurrence was considered a random event.
Conclusions:
- Seizure occurrence is a non-random, cyclical phenomenon.
- Understanding seizure rhythmicity is crucial for developing effective seizure management tools.
- Further research is needed to elucidate the mechanisms driving seizure cyclical variability and inform future device development.
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