References

References

This is the papers, journals, projects and blogs we've consulted throughout the realization of our project.

Aboalayon, Khald, Miad Faezipour, Wafaa Almuhammadi, and Saeid Moslehpour. “Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation.” Entropy 18, no. 9 (August 23, 2016): 272. https://doi.org/10.3390/e18090272.

Becq, Guillaume, Sylvie Charbonnier, Florian Chapotot, Alain Buguet, Lionel Bourdon, and Pierre Baconnier. “Comparison Between Five Classifiers for Automatic Scoring of Human Sleep Recordings.” In Classification and Clustering for Knowledge Discovery, edited by Saman K. Halgamuge and Lipo Wang, 4:113–27. Studies in Computational Intelligence. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. https://doi.org/10.1007/11011620_8.

“Beyond the Hypnogram: Multitaper Spectrogram Analysis of Sleep EEG – Prerau Lab.” Accessed September 10, 2020. https://prerau.bwh.harvard.edu/multitaper/.

Billings, Martha E. “Interpreting Sleep Study Reports:,” n.d., 23. “Brain Basics: Understanding Sleep | National Institute of Neurological Disorders and Stroke.” Accessed April 27, 2020. https://www.ninds.nih.gov/Disorders/Patient-Caregiver-Education/Understanding-Sleep.

Doroshenkov, L. G., V. A. Konyshev, and S. V. Selishchev. “Classification of Human Sleep Stages Based on EEG Processing Using Hidden Markov Models.” Biomedical Engineering 41, no. 1 (January 2007): 25–28. https://doi.org/10.1007/s10527-007-0006-5.

Fietze, Ingo. “Sleep Applications to Assess Sleep Quality.” Sleep Medicine Clinics 11, no. 4 (December 2016): 461–68. https://doi.org/10.1016/j.jsmc.2016.08.008.

Mourtazaev, M., Kemp, B., Zwinderman, A., & Kamphuisen, H. (1995). Age and Gender Affect Different Characteristics of Slow Waves in the Sleep EEGSleep, 18, 557-64.

Fiorillo, Luigi, Alessandro Puiatti, Michela Papandrea, Pietro-Luca Ratti, Paolo Favaro, Corinne Roth, Panagiotis Bargiotas, Claudio L. Bassetti, and Francesca D. Faraci. “Automated Sleep Scoring: A Review of the Latest Approaches.” Sleep Medicine Reviews 48 (December 1, 2019): 101204. https://doi.org/10.1016/j.smrv.2019.07.007.

Gaponova, Tatiana. Baroquerock/Sleep-Stages-Scoring. Jupyter Notebook, 2020. https://github.com/baroquerock/sleep-stages-scoring.

Government of Canada, Statistics Canada. “Duration and Quality of Sleep among Canadians Aged 18 to 79,” September 20, 2017. https://www150.statcan.gc.ca/n1/pub/82-003-x/2017009/article/54857-eng.htm.

Imtiaz, Syed Anas, and Esther Rodriguez-Villegas. “A Low Computational Cost Algorithm for REM Sleep Detection Using Single Channel EEG.” Annals of Biomedical Engineering 42, no. 11 (2014): 2344–59. https://doi.org/10.1007/s10439-014-1085-6.

Jiang, Dihong, Ya-nan Lu, Yu Ma, and Yuanyuan Wang. “Robust Sleep Stage Classification with Single-Channel EEG Signals Using Multimodal Decomposition and HMM-Based Refinement.” Expert Systems with Applications 121 (May 1, 2019): 188–203. https://doi.org/10.1016/j.eswa.2018.12.023.

Kemp, Bob. “Physionet Sleep-EDF,” n.d. https://physionet.org/content/sleep-edfx/1.0.0/.

Khalighi, S., T. Sousa, D. Oliveira, G. Pires, and U. Nunes. “Efficient Feature Selection for Sleep Staging Based on Maximal Overlap Discrete Wavelet Transform and SVM.” In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 3306–9. Boston, MA: IEEE, 2011. https://doi.org/10.1109/IEMBS.2011.6090897.

Längkvist, Martin, Lars Karlsson, and Amy Loutfi. “Sleep Stage Classification Using Unsupervised Feature Learning.” Research Article. Advances in Artificial Neural Systems. Hindawi, 2012. https://doi.org/10.1155/2012/107046.

Malafeev, Alexander. Automatic Human Sleep Stage Scoring Using Deep Neural Networks: Implementation CNN-LSTM. Python, 2020. https://github.com/alexander-malafeev/sleep-scoring.

Automatic Human Sleep Stage Scoring Using Deep Neural Networks: Implementation RF-HMM et RF-LSTM. MATLAB, 2020. https://github.com/alexander-malafeev/feature-based-sleep-scoring.

Malafeev, Alexander, Dmitry Laptev, Stefan Bauer, Ximena Omlin, Aleksandra Wierzbicka, Adam Wichniak, Wojciech Jernajczyk, Robert Riener, Joachim Buhmann, and Peter Achermann. “Automatic Human Sleep Stage Scoring Using Deep Neural Networks.” Frontiers in Neuroscience 12 (November 6, 2018): 781. https://doi.org/10.3389/fnins.2018.00781.

Mikkelsen, Kaare, and Maarten de Vos. “Personalizing Deep Learning Models for Automatic Sleep Staging.” ArXiv:1801.02645 [q-Bio], January 8, 2018. http://arxiv.org/abs/1801.02645.

Moser, Doris, Peter Anderer, Georg Gruber, Silvia Parapatics, Erna Loretz, Marion Boeck, Gerhard Kloesch, et al. “Sleep Classification According to AASM and Rechtschaffen & Kales: Effects on Sleep Scoring Parameters.” Sleep 32, no. 2 (February 1, 2009): 139–49.

Mousavi, Sajad, Fatemeh Afghah, and U. Rajendra Acharya. “SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach.” PLoS ONE 14, no. 5 (May 7, 2019). https://doi.org/10.1371/journal.pone.0216456.

Rosenberg, Richard S., and Steven Van Hout. “The American Academy of Sleep Medicine Inter-Scorer Reliability Program: Sleep Stage Scoring.” Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine 9, no. 1 (January 15, 2013): 81–87. https://doi.org/10.5664/jcsm.2350.

Shrivastava, Deepak, Syung Jung, Mohsen Saadat, Roopa Sirohi, and Keri Crewson. “How to Interpret the Results of a Sleep Study.” Journal of Community Hospital Internal Medicine Perspectives 4, no. 5 (January 2014): 24983. https://doi.org/10.3402/jchimp.v4.24983.

Supratak, Akara. DeepSleepNet: Implementation. Python, 2020. https://github.com/akaraspt/deepsleepnet.

Supratak, Akara, Hao Dong, Chao Wu, and Yike Guo. “DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG.” IEEE Transactions on Neural Systems and Rehabilitation Engineering 25, no. 11 (November 2017): 1998–2008. https://doi.org/10.1109/TNSRE.2017.2721116.

Tsinalis, Orestis, Paul M. Matthews, and Yike Guo. “Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders.” Annals of Biomedical Engineering 44, no. 5 (May 1, 2016): 1587–97. https://doi.org/10.1007/s10439-015-1444-y.

Tsinalis, Orestis, Paul M. Matthews, Yike Guo, and Stefanos Zafeiriou. “Automatic Sleep Stage Scoring with Single-Channel EEG Using Convolutional Neural Networks.” ArXiv:1610.01683 [Cs, Stat], October 5, 2016. http://arxiv.org/abs/1610.01683.

B, van Sweden, Kemp B, Kamphuisen Ha, and Van der Velde Ea. “Alternative Electrode Placement in (Automatic) Sleep Scoring (Fpz-Cz/Pz-Oz versus C4-A1).” Sleep 13, no. 3 (June 1, 1990): 279–83. https://doi.org/10.1093/sleep/13.3.279.

“Brain Basics: Understanding Sleep | National Institute of Neurological Disorders and Stroke.” Accessed November 21, 2020. https://www.ninds.nih.gov/Disorders/Patient-Caregiver-Education/Understanding-Sleep.

“Sleep Deprivation and Deficiency | NHLBI, NIH.” Accessed November 21, 2020. https://www.nhlbi.nih.gov/health-topics/sleep-deprivation-and-deficiency.