PREDICTION OF EPILEPTIC SEIZURES BASED ON SECOND-ORDER C_0 COMPLEXITY

Seizure prediction is a topic of great interest in the clinical and basic neuroscience communities.If we can successfully forecast the occurrence of epileptic seizures,clinical treatments such as electrical stimulation or focal drug can be given on demand.Then the quality of life of many epilepsy patients will be significantly improved.In the paper,a prediction algorithm based on the second-order C0 complexity was proposed to predict epileptic seizures.The algorithm analyzed the second-order C0 complexity of intracranial EEG recordings from epilepsy patients to forecast the occurrence of seizures automatically.Through the analysis and computation of intracranial EEG data from 21 epilepsy patients with 87 seizures and 4 epilepsy rats with 4 seizures,the results based on the proposed algorithm showed that the sensitivity of prediction was 94.3% and 100%,respectively.Experimental results indicate that the proposed scheme has a good performance in predicting epileptic seizures,and it should provide significant clinical efficacy.