Classifier Combination Supported by the Sleep-Wake Cycle Improves EEG Seizure Prediction Performance

Seizure prediction is a promising solution to improve the quality of life for drug-resistant patients, which concerns nearly 30% of patients with epilepsy. The present study aimed to ascertain the impact of incorporating sleep-wake information in seizure prediction.