Designing an Automatic Sleep Staging System Using Deep Convolutional Neural Network Fed by Nonlinear Dynamic Transformation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Biomedical Engineering,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s40846-022-00771-y.pdf
Reference63 articles.
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3. Walker, M. P., & Stickgold, R. (2006). Sleep, memory, and plasticity. Annual Review of Psychology, 57(1), 139–166. https://doi.org/10.1146/annurev.psych.56.091103.070307
4. Álvarez-Estévez, D., & Moret-Bonillo, V. (2011). Identification of electroencephalographic arousals in multichannel sleep recordings. IEEE Transactions on Biomedical Engineering, 58(1), 54–63. https://doi.org/10.1109/TBME.2010.2075930.
5. Dafna, E., Tarasiuk, A., & Zigel, Y. (2018). Sleep staging using nocturnal sound analysis. Scientific Reports. https://doi.org/10.1038/s41598-018-31748-0.
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