Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification

Author:

Wang Yingxi1ORCID,Liang Huizhi1ORCID,Zhai Bing2ORCID

Affiliation:

1. School of Computing, Newcastle University, United Kingdom

2. School of Computing, University of Northumbria at Newcastle, United Kingdom

Publisher

ACM

Reference49 articles.

1. Bruce  M Altevogt , Harvey  R Colten , 2006. Sleep disorders and sleep deprivation: an unmet public health problem. Sleep Disorders and Sleep Deprivation ( 2006 ). Bruce M Altevogt, Harvey R Colten, 2006. Sleep disorders and sleep deprivation: an unmet public health problem. Sleep Disorders and Sleep Deprivation (2006).

2. Sanjeev Arora , Hrishikesh Khandeparkar , Mikhail Khodak , Orestis Plevrakis , and Nikunj Saunshi . 2019. A theoretical analysis of contrastive unsupervised representation learning. arXiv preprint arXiv:1902.09229 ( 2019 ). Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, and Nikunj Saunshi. 2019. A theoretical analysis of contrastive unsupervised representation learning. arXiv preprint arXiv:1902.09229 (2019).

3. Classifying Electrooculogram to Detect Directional Eye Movements

4. Christopher  M Barnes and Nathaniel  F Watson . 2019. Why healthy sleep is good for business. Sleep medicine reviews 47 ( 2019 ), 112–118. Christopher M Barnes and Nathaniel F Watson. 2019. Why healthy sleep is good for business. Sleep medicine reviews 47 (2019), 112–118.

5. Fundamentals of Sleep Medicine

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