Machine Learning and Deep Learning Techniques for Epileptic Seizures Prediction: A Brief Review

The third most common neurological disorder, only behind stroke and migraines, is Epilepsy. The main criteria for its diagnosis are the occurrence of unprovoked seizures and the possibility of new seizures appearing. Usually, the professional in charge of detecting these seizures is a neurologist who interprets the patients’ electroencephalography. However, more accurate, precise, and sensitive methods are needed. Machine learning has increased as a viable alternative, reducing costs and ensuring rapid diagnostic time. This work reviews the state of the art in machine learning applied to epileptic seizure detection and prediction as a prospective study before developing a novel seizure prediction algorithm.