Automatic sleep stage classification: From classical machine learning methods to deep learning

Author:

Sekkal Rym Nihel,Bereksi-Reguig Fethi,Ruiz-Fernandez Daniel,Dib Nabil,Sekkal Samira

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference72 articles.

1. International Classification of Sleep Disorders;American Academy of Sleep Medicine,2014

2. A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects;Rechtschaffen,1968

3. [2] Berry, R. B., Brooks, R., Gamaldo, C., Harding, S. M., Lloyd, R. M., Quan, S. F., ... & Vaughn, B. V. (2017). AASM scoring manual updates for 2017 (version 2.4).

4. Sleep classification according to AASM and Rechtschaffen & Kales: effects on sleep scoring parameters;Moser;Sleep,2009

5. A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series;Chambon;IEEE Trans. Neural Syst. Rehabil. Eng.,2018

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