Comparative Analysis of Machine Learning and Deep Learning Algorithms for Automatic Sleep Staging Using EEG Signals
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3180-0_16
Reference22 articles.
1. Memar P, Faradji F (2018) A novel multi-class EEG-based sleep stage classification system. IEEE Trans Neural Syst Rehabil Eng 26(1):84–95
2. da Silveira TL, Kozakevicius AJ, Rodrigues CR (2017) Single-channel eeg sleep stage classification based on a streamlined set of statistical features in wavelet domain. Med Biol Eng Comput 55(2):343–435
3. Hassan AR, Bhuiyan MIH (2016) A decision support system for automatic sleep staging from EEG signals using tunable q-factor wavelet transform and spectral features. J Neurosci Method 271:107–118
4. Jiang X, Zhao J (2021) Self-supervised contrastive learning for EEG-based sleep staging, 2021
5. Chriskos P, Frantzidis CA, Gkivogkli PT, Bamidis PD, Kourtidou-Papadeli C (2018) Achieving accurate automatic sleep staging on manually pre-processed EEG data through synchronization feature extraction and graph metrics. Front Hum Neurosci 12:110
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