Taxonomy for an Automated Sleep Stage Scoring
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-33743-7_2
Reference20 articles.
1. Alickovic, E., Subasi, A.: Ensemble SVM method for automatic sleep stage classification. IEEE Trans. Instrum. Meas. 67(6), 1258–1265 (2018)
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3. Chen, K., Zhang, C., Ma, J., Wang, G., Zhang, J.: Sleep staging from single-channel EEG with multi-scale feature and contextual information. Sleep Breath. 23(4), 1159–1167 (2019)
4. Cooray, N., Andreotti, F., Lo, C., Symmonds, M., Hu, M.T., De Vos, M.: Detection of rem sleep behaviour disorder by automated polysomnography analysis. Clin. Neurophysiol. 130(4), 505–514 (2019)
5. Fernandez-Blanco, E., Rivero, D., Pazos, A.: Convolutional neural networks for sleep stage scoring on a two-channel EEG signal. Soft. Comput. 24(6), 4067–4079 (2020)
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