Automatic Stage Scoring of Single-Channel Sleep EEG by Using Multiscale Entropy and Autoregressive Models

By Sheng-Fu Liang, Chih-En Kuo, Yu-Han Hu, Yu-Hsiang Pan, Yung-Hung Wang. IEEE Transactions on Instrumentation and Measurement, 2012

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Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal (2014, methodology): “selected to analyze and identify the sleep stages because it can provide better automatic classification accuracy than the Fpz-Cz channel [8], [10], [12].”
Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders (2015, methodology): “In [16] the ﬁrst dataset comprised 20 subjects (aged 20–22 years), using channel C3-A2.”