This paper presents a recurrent neural classifier to automatically classify sleep stages based on energy features of EEG signals by using only one single EEG channel (Fpz-Cz). The energy features are extracted from characteristic waves of EEG signals which can characterize different sleep stages individually. The recurrent neural classifier takes the energy features extracted on 30s epochs from...

Abstract Neural network has made remarkable achievements in the field of image classification, but they are threatened by adversarial examples process application, making robustness neural classifiers face danger. Programs or software based on need to undergo rigorous testing before use and promotion, order effectively reduce losses security risks. To comprehensively test standardize process, s...