A Review Paper on Early Detection of Epilepsy part Detection Using Deep Learning

The neurological condition known as epilepsy is typified by periodic seizures. Proper management and treatment of epileptic seizures depend heavily on the early detection of seizures. The identification and categorization of epileptic episodes is one medical application where deep learning techniques have demonstrated encouraging outcomes in recent years. All of the most recent cutting-edge deep learning techniques for epilepsy early detection are reviewed in detail in this work. The utilization of electroencephalogram (EEG) signals as input data for deep learning models is examined, and several architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), are investigated for seizure detection. In addition, we address possible future research routes in this field and highlight the difficulties and possibilities in applying deep learning for early epilepsy identification. The conclusions drawn from this study.