Application of Deep Learning in Epilepsy

Abstract

Over the past few decades, chronic illnesses have been on a continuous rise of which epilepsy has been the most common neurological disorder. However, due to the recent progress that has been made by medical science, epilepsy can be controlled for about 70% of the cases. To diagnose epilepsy, EEG, CT scan, MRI, etc. are some of the most common ways, but in this chapter, diagnosis using EEG shall be most focused upon. Although EEG can be considered a good way to decide upon the results of epilepsy proving whether a person is epileptic or not, it is not a completely reliable method. Hence, for its accurate detection we must use sophisticated techniques like CNN and LSTM that will provide a timely and correct diagnosis, reducing the chances of frequent epileptic seizures and SUDEP. Using anti-epileptic drugs cannot guarantee epilepsy prevention, and even if they do, these drugs come with some serious side effects, so people must look back to yoga for a probable permanent treatment.