Epilepsy Seizure Prediction Using an SVM Algorithm

Epileptic seizures remain a real concern and a major medical challenge, simply because they strike unexpectedly and without warning, turning a patient’s life upside down. Undoubtedly, the ability to detect an impending seizure well in advance is a lifeline, aiding physicians and completely transforming the course of treatment. However, there is a hurdle: while complex artificial intelligence models (such as deep learning) are highly accurate, they are resourceintensive and require powerful computers, making them difficult to run on small or portable devices. Therefore, in this study, we developed a smarter and lighter solution: a model based on the SVM algorithm. The idea behind this model is that it focuses specifically on the two minutes preceding a seizure, making it lightweight and easy to implement even on devices with limited capabilities.