G. Usha

Performance Measurements of Deep Learning-Based EEG Signal Classification Using Multi-class Seizure Type with CNN and RNN – LSTM Algorithms

The objective of this research is to characterize and categorize EEG patterns to distinguish between epileptic and healthy brain functions. By applying deep learning. To apply CNN and RNN-LSTM models to multi-classify different kinds of seizures. The EEG signal is converted to images to feed into the CNN. This study ma...