In this paper, Spectral Spectral Analysis will be enhanced in a tensor-based manner so that it can be used to analyze the non-stationary EEG signals. In this way, the mentioned methods are used as a filter to extract the characteristic of the EEG signal, and then the properties extracted by an artificial neural network are used to predict the sleep phase.