Artificial Intelligence based Epilepsy Seizure Prediction and Detection

Abstract

The abrupt occurrence of repeated seizures caused by epilepsy, a chronic nerve illness that is on the rise in the world, has an impact on the lives of millions of patients every year. In a variety of mishaps, it might cause critical injuries or patient deaths. Therefore, automatic seizure prediction is crucial for warning patients well in advance of the actual commencement, boosting their chances of staying safe. Internet of Things-enabled technologies are currently investigating the offer deep learning-based treatments for such nerve illnesses In an integrated cloud-fog system situation, the previously presented article also suggests an autonomous seizure prediction model using convolutional neural networks. This model makes use of EEG segments with shorter time scales that exhibit discrete spectral characteristics including. experiments has been run to assess how well the lightweight solution performs.  experimental results show that the approach has use in brain e-health applications and surpasses most of the 15-minute warning ahead of time) for all individuals.