相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。CoSleep: A Multi-View Representation Learning Framework for Self-Supervised Learning of Sleep Stage Classification
Jianan Ye et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification
Huy Phan et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)
Hybrid manifold-deep convolutional neural network for sleep staging
Chuanhao Zhang et al.
METHODS (2022)
Adversarial learning for semi-supervised pediatric sleep staging with single-EEG channel
Yamei Li et al.
METHODS (2022)
An Improved Neural Network Based on SENet for Sleep Stage Classification
Jing Huang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022)
Self-Supervised ECG Representation Learning for Emotion Recognition
Pritam Sarkar et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2022)
An open-source, high-performance tool for automated sleep staging
Raphael Vallat et al.
ELIFE (2021)
BENDR: Using Transformers and a Contrastive Self-Supervised Learning Task to Learn From Massive Amounts of EEG Data
Demetres Kostas et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2021)
Automatic Sleep Staging Algorithm Based on Time Attention Mechanism
Li-Xiao Feng et al.
FRONTIERS IN HUMAN NEUROSCIENCE (2021)
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili et al.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021 (2021)
Self-supervised Contrastive Learning for EEG-based Sleep Staging
Xue Jiang et al.
2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) (2021)
Automatic Sleep Staging Employing Convolutional Neural Networks and Cortical Connectivity Images
Panteleimon Chriskos et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2020)
A Hierarchical Neural Network for Sleep Stage Classification Based on Comprehensive Feature Learning and Multi-Flow Sequence Learning
Chenglu Sun et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
Sleep stage classification for child patients using DeConvolutional Neural Network
Xinyu Huang et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2020)
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2019)
AASM Scoring Manual Updates for 2017 (Version 2.4)
Richard B. Berry et al.
JOURNAL OF CLINICAL SLEEP MEDICINE (2017)
Recommended Amount of Sleep for Pediatric Populations: A Consensus Statement of the American Academy of Sleep Medicine
Shalini Paruthi et al.
JOURNAL OF CLINICAL SLEEP MEDICINE (2016)
Paediatric sleep resources in Canada: The scope of the problem
Sherri Lynne Katz et al.
PAEDIATRICS & CHILD HEALTH (2014)
Limitations of Rechtschaffen and Kales
SL Himanen et al.
SLEEP MEDICINE REVIEWS (2000)
Analysis of a sleep-dependent neuronal feedback loop: The slow-wave microcontinuity of the EEG
B Kemp et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2000)