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Sleep-EDF Expanded: Whole-Night PSG Recordings

nm000185 · 90 high-confidence citations

1. Deep learning for electroencephalogram (EEG) classification tasks: a review

   Alexander Craik, Yongtian He, José L. Contreras-Vidal · 2019 · Journal of Neural Engineering

   Cites data paper 1,641 citations

2. DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

   Akara Supratak, Hao Dong, Chao Wu, Yike Guo · 2017 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

   Cites data paper 1,313 citations

3. SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

   Sajad Mousavi, Fatemeh Afghah, U. Rajendra Acharya · 2019 · PLoS ONE

   Cites data paper 521 citations

4. Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

   Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos · 2018 · IEEE Transactions on Biomedical Engineering

   Cites data paper 462 citations

5. Analysis and Classification of Sleep Stages Based on Difference Visibility Graphs From a Single-Channel EEG Signal

   Guohun Zhu, Yan Li, Peng Wen · 2014 · IEEE Journal of Biomedical and Health Informatics

   Cites data paper 380 citations

6. Circuit-based interrogation of sleep control

   Franz Weber, Yang Dan · 2016 · Nature

   Cites data paper 380 citations

7. ISRUC-Sleep: A comprehensive public dataset for sleep researchers

   Sirvan Khalighi, Teresa Sousa, José Moutinho dos Santos, Urbano Nunes · 2015 · Computer Methods and Programs in Biomedicine

   Cites data paper 349 citations

8. Montreal Archive of Sleep Studies: an open‐access resource for instrument benchmarking and exploratory research

   Christian O’Reilly, Nadia Gosselin, Julie Carrier, Toré Nielsen · 2014 · Journal of Sleep Research

   Cites data paper 344 citations

9. U-Sleep: resilient high-frequency sleep staging

   Mathias Perslev, Sune Darkner, Lykke Kempfner, Miki Nikolic, Poul Jennum, Christian Igel · 2021 · npj Digital Medicine

   Cites data paper 332 citations

10. Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders

    Orestis Tsinalis, Paul M. Matthews, Yike Guo · 2015 · Annals of Biomedical Engineering

    Cites data paper 324 citations

11. A comparative review on sleep stage classification methods in patients and healthy individuals

    Reza Boostani, Foroozan Karimzadeh, Mohammad Nami · 2016 · Computer Methods and Programs in Biomedicine

    Cites data paper 313 citations

12. Ensemble SVM Method for Automatic Sleep Stage Classification

    Emina Aličković, Abdülhamit Subaşı · 2018 · IEEE Transactions on Instrumentation and Measurement

    Cites data paper 311 citations

13. SleepTransformer: Automatic Sleep Staging With Interpretability and Uncertainty Quantification

    Huy Phan, Kaare B. Mikkelsen, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos · 2022 · IEEE Transactions on Biomedical Engineering

    Cites data paper 300 citations

14. An E-Health Solution for Automatic Sleep Classification according to Rechtschaffen and Kales: Validation Study of the Somnolyzer 24 × 7 Utilizing the Siesta Database

    P. Anderer, Georg Gruber, Silvia Parapatics, Michael Woertz, Tatiana Miazhynskaia, Gerhard Klösch, B. Saletu, J. Zeitlhofer, M.J. Barbanoj, Heidi Danker‐Hopfe, Sari‐Leena Himanen, B. Kemp, Thomas Penzel, Michael Grözinger, Dieter Kunz, Peter Rappelsberger, Alois Schlögl, Georg Dorffner · 2005 · Neuropsychobiology

    Cites data paper 297 citations

15. Computer-aided sleep staging using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and bootstrap aggregating

    Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan · 2015 · Biomedical Signal Processing and Control

    Cites data paper 271 citations

16. A comparative analysis of signal processing and classification methods for different applications based on EEG signals

    Ashima Khosla, Padmavati Khandnor, Trilok Chand · 2020 · Journal of Applied Biomedicine

    Cites data paper 269 citations

17. XSleepNet: Multi-View Sequential Model for Automatic Sleep Staging

    Huy Phan, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Maarten De Vos · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence

    Cites data paper 267 citations

18. A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features

    Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan · 2016 · Journal of Neuroscience Methods

    Cites data paper 249 citations

19. Neural Decoding of EEG Signals with Machine Learning: A Systematic Review

    Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, Krzysztof Fiok, Rédha Taïar, Peter A. Hancock, Awad M. Aljuaid · 2021 · Brain Sciences

    Cites data paper 241 citations

20. Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting

    Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan · 2016 · Computer Methods and Programs in Biomedicine

    Cites data paper 236 citations

21. A decision support system for automated identification of sleep stages from single-channel EEG signals

    Ahnaf Rashik Hassan, Abdülhamit Subaşı · 2017 · Knowledge-Based Systems

    Cites data paper 234 citations

22. Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG

    Hogeon Seo, Seunghyeok Back, Seongju Lee, Deokhwan Park, Tae Kim, Kyoobin Lee · 2020 · Biomedical Signal Processing and Control

    Cites data paper 233 citations

23. Sleep scoring using artificial neural networks

    Marina Ronzhina, Oto Janoušek, Jana Kolářová, Marie Novàkovâ, Petr Honzík, Ivo Provazník · 2011 · Sleep Medicine Reviews

    Cites data paper 230 citations

24. A Review of Recent Developments in Driver Drowsiness Detection Systems

    Yaman Albadawi, Maen Takruri, Mohammed Awad · 2022 · Sensors

    Cites data paper 223 citations

25. Automatic classification of sleep stages based on the time-frequency image of EEG signals

    Varun Bajaj, Ram Bilas Pachori · 2013 · Computer Methods and Programs in Biomedicine

    Cites data paper 223 citations

26. Automatic sleep scoring using statistical features in the EMD domain and ensemble methods

    Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan · 2015 · Journal of Applied Biomedicine

    Cites data paper 221 citations

27. TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG

    Akara Supratak, Yike Guo · 2020 · n/a

    Cites data paper 221 citations

28. Automatic sleep stages classification based on iterative filtering of electroencephalogram signals

    Rajeev Sharma, Ram Bilas Pachori, Abhay Upadhyay · 2017 · Neural Computing and Applications

    Cites data paper 200 citations

29. Guidelines for the Recording and Evaluation of Pharmaco-EEG Data in Man: The International Pharmaco-EEG Society (IPEG)

    Marc Jobert, Frederick J. Wilson, G.S.F. Ruigt, Martin Brunovský, Leslie S. Prichep, Wilhelmus Drinkenburg · 2012 · Neuropsychobiology

    Cites data paper 187 citations

30. EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph Similarity

    Mohammed Diykh, Yan Li, Peng Wen · 2016 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 181 citations

31. Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network

    Pankaj Jadhav, Gaurav Rajguru, Debabrata Datta, Siddhartha Mukhopadhyay · 2020 · Journal of Applied Biomedicine

    Cites data paper 177 citations

32. A Residual Based Attention Model for EEG Based Sleep Staging

    Wei Qu, Zhiyong Wang, Hong Hong, Zheru Chi, Dagan Feng, Ronald R. Grunstein, Christopher J. Gordon · 2020 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 169 citations

33. A review of automated sleep stage scoring based on physiological signals for the new millennia

    Oliver Faust, Hajar Razaghi, Ragab Barika, Edward J. Ciaccio, U. Rajendra Acharya · 2019 · Computer Methods and Programs in Biomedicine

    Cites data paper 168 citations

34. A Systematic Review of Sensing Technologies for Wearable Sleep Staging

    Syed Anas Imtiaz · 2021 · Sensors

    Cites data paper 165 citations

35. Hydrogel Nanoarchitectonics of a Flexible and Self‐Adhesive Electrode for Long‐Term Wireless Electroencephalogram Recording and High‐Accuracy Sustained Attention Evaluation

    Qingquan Han, Chao Zhang, Taoming Guo, Yajie Tian, Wei Song, Jiaxin Lei, Qi Li, Anhe Wang, Milin Zhang, Shuo Bai, Xuehai Yan · 2023 · Advanced Materials

    Cites data paper 163 citations

36. Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement

    Dihong Jiang, Yanan Lu, Yu Ma, Yuanyuan Wang · 2018 · Expert Systems with Applications

    Cites data paper 162 citations

37. Accurate Deep Learning-Based Sleep Staging in a Clinical Population with Suspected Obstructive Sleep Apnea

    Henri Korkalainen, Timo Leppänen, Juhani Aakko, Sami Nikkonen, Samu Kainulainen, Akseli Leino, Brett Duce, Isaac O. Afara, Sami Myllymaa, Juha Töyräs · 2019 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 159 citations

38. Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

    Huy Phan, Oliver Y. Chén, Philipp Koch, Zongqing Lu, Ian McLoughlin, Alfred Mertins, Maarten De Vos · 2020 · IEEE Transactions on Biomedical Engineering

    Cites data paper 155 citations

39. Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks

    Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos · 2018 · n/a

    Cites data paper 142 citations

40. An automated method for sleep staging from EEG signals using normal inverse Gaussian parameters and adaptive boosting

    Ahnaf Rashik Hassan, Mohammed Imamul Hassan Bhuiyan · 2016 · Neurocomputing

    Cites data paper 139 citations

41. Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification

    Tianqi Zhu, Wei Luo, Feng Yu · 2020 · International Journal of Environmental Research and Public Health

    Cites data paper 138 citations

42. Automatic sleep staging of EEG signals: recent development, challenges, and future directions

    Huy Phan, Kaare B. Mikkelsen · 2022 · Physiological Measurement

    Cites data paper 133 citations

43. U-Time: A Fully Convolutional Network for Time Series Segmentation\n Applied to Sleep Staging

    Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jennum, Christian Igel · 2019 · arXiv (Cornell University)

    Cites data paper 132 citations

44. Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain

    Thiago L. T. da Silveira, Alice Kozakevicius, Cesar Ramos Rodrigues · 2016 · Medical & Biological Engineering & Computing

    Cites data paper 131 citations

45. Automated Detection of Sleep Stages Using Deep Learning Techniques: A Systematic Review of the Last Decade (2010–2020)

    Hui Wen Loh, Chui Ping Ooi, Jahmunah Vicnesh, Shu Lih Oh, Oliver Faust, Arkadiusz Gertych, U. Rajendra Acharya · 2020 · Applied Sciences

    Cites data paper 122 citations

46. Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques

    José Luis Rodríguez-Sotelo, Alejandro Osorio-Forero, Alejandro Jiménez-Rodríguez, David Cuesta–Frau, Eva Cirugeda, Diego H. Peluffo-Ordóńez · 2014 · Entropy

    Cites data paper 121 citations

47. Automatic Sleep Stage Classification Using Temporal Convolutional Neural Network and New Data Augmentation Technique from Raw Single-Channel EEG

    Ebrahim Khalili, Babak Mohammadzadeh Asl · 2021 · Computer Methods and Programs in Biomedicine

    Cites data paper 120 citations

48. Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review

    Samy Abd El‐Nabi, Walid El‐Shafai, El‐Sayed M. El‐Rabaie, Khalil F. Ramadan, Fathi E. Abd El‐Samie, Saeed Mohsen · 2023 · Multimedia Tools and Applications

    Cites data paper 119 citations

49. Deep Learning for Automated Feature Discovery and Classification of Sleep Stages

    Michael Sokolovsky, Francisco Guerrero, Sarun Paisarnsrisomsuk, Carolina Ruiz, Sergio A. Álvarez · 2019 · IEEE/ACM Transactions on Computational Biology and Bioinformatics

    Cites data paper 116 citations

50. A daily temperature rhythm in the human brain predicts survival after brain injury

    Nina M. Rzechorzek, Michael J. Thrippleton, Francesca M. Chappell, Grant Mair, Ari Ercole, Manuel Cabeleira, Jonathan Rhodes, Ian Marshall, John S. O’Neill · 2021 · Brain

    Cites data paper 114 citations

51. DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates

    Luigi Fiorillo, Paolo Favaro, Francesca Dalia Faraci · 2021 · arXiv (Cornell University)

    Cites data paper 110 citations

52. Generative adversarial networks in EEG analysis: an overview

    Ahmed G. Habashi, Ahmed M. Azab, Seif Eldawlatly, Gamal M. Aly · 2023 · Journal of NeuroEngineering and Rehabilitation

    Cites data paper 110 citations

53. Ordinal Patterns, Entropy, and EEG

    Karsten Keller, Anton M. Unakafov, Valentina Unakafova · 2014 · Entropy

    Cites data paper 105 citations

54. A Review of Approaches for Sleep Quality Analysis

    Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado‐Dias, Antonio G. Ravelo‐García, Thomas Penzel · 2019 · IEEE Access

    Cites data paper 104 citations

55. Automated drowsiness detection through wavelet packet analysis of a single EEG channel

    Thiago L. T. da Silveira, Alice Kozakevicius, Cesar Ramos Rodrigues · 2016 · Expert Systems with Applications

    Cites data paper 104 citations

56. SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

    Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Zhang Yingbin · 2021 · n/a

    Cites data paper 103 citations

57. MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning

    Nannapas Banluesombatkul, Pichayoot Ouppaphan, Pitshaporn Leelaarporn, Payongkit Lakhan, Busarakum Chaitusaney, Nattapong Jaimchariyatam, Ekapol Chuangsuwanich, Wei Chen, Huy Phan, Nat Dilokthanakul, Theerawit Wilaiprasitporn · 2020 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 102 citations

58. A new automatic sleep staging system based on statistical behavior of local extrema using single channel EEG signal

    Saman Seifpour, Hamid Niknazar, Mohammad Mikaeili, Ali Motie Nasrabadi · 2018 · Expert Systems with Applications

    Cites data paper 100 citations

59. On the classification of sleep states by means of statistical and spectral features from single channel Electroencephalogram

    Ahnaf Rashik Hassan, Syed Khairul Bashar, Mohammed Imamul Hassan Bhuiyan · 2015 · n/a

    Cites data paper 97 citations

60. MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG

    Yang Dai, Xiuli Li, Shanshan Liang, Lukang Wang, Qingtian Duan, Hui Yang, Chunqing Zhang, Xiaowei Chen, Longhui Li, Xingyi Li, Xiang Liao · 2023 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 96 citations

61. Automatic sleep stage classification with deep residual networks in a mixed-cohort setting

    Alexander Neergaard Olesen, Poul Jennum, Emmanuel Mignot, Helge B. D. Sørensen · 2020 · SLEEP

    Cites data paper 93 citations

62. A Survey on Recent Advances in Machine Learning Based Sleep Apnea Detection Systems

    Anita Ramachandran, Anupama Karuppiah · 2021 · Healthcare

    Cites data paper 93 citations

63. DNN Filter Bank Improves 1-Max Pooling CNN for Single-Channel EEG Automatic Sleep Stage Classification

    Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos · 2018 · n/a

    Cites data paper 92 citations

64. Multichannel Sleep Stage Classification and Transfer Learning using Convolutional Neural Networks

    Fernando Andreotti, Huy Phan, Navin Cooray, Christine Lo, Michele T. M. Hu, Maarten De Vos · 2018 · n/a

    Cites data paper 91 citations

65. Complex networks approach for EEG signal sleep stages classification

    Mohammed Diykh, Yan Li · 2016 · Expert Systems with Applications

    Cites data paper 90 citations

66. A single-channel EEG based automatic sleep stage classification method leveraging deep one-dimensional convolutional neural network and hidden Markov model

    Bufang Yang, Xilin Zhu, Yitian Liu, Hongxing Liu · 2021 · Biomedical Signal Processing and Control

    Cites data paper 88 citations

67. An Improved Neural Network Based on SENet for Sleep Stage Classification

    Jing Huang, Lifeng Ren, Xiaokang Zhou, Ke Yan · 2022 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 85 citations

68. Self-supervised Contrastive Learning for EEG-based Sleep Staging

    Xue Jiang, Jianhui Zhao, Bo Du, Zhiyong Yuan · 2021 · n/a

    Cites data paper 84 citations

69. A novel, fast and efficient single-sensor automatic sleep-stage classification based on complementary cross-frequency coupling estimates

    Stavros I. Dimitriadis, Christos Salis, David E.J. Linden · 2018 · Clinical Neurophysiology

    Cites data paper 82 citations

70. Convolutional Neural Network-Based EEG Signal Analysis: A Systematic Review

    Swati Rajwal, Swati Aggarwal · 2023 · Archives of Computational Methods in Engineering

    Cites data paper 82 citations

71. SleepContextNet: A temporal context network for automatic sleep staging based single-channel EEG

    Caihong Zhao, Jinbao Li, Yahong Guo · 2022 · Computer Methods and Programs in Biomedicine

    Cites data paper 77 citations

72. Deep learning-based electroencephalography analysis: a systematic review

    Yannick Roy, Hubert Banville, Isabela Albuquerque, Alexandre Gramfort, Tiago H. Falk, Jocelyn Faubert · 2019 · Journal of Neural Engineering

    Cites data paper 76 citations

73. Deep learning for processing electromyographic signals: A taxonomy-based survey

    Domenico Buongiorno, Giacomo Donato Cascarano, Irio De Feudis, Antonio Brunetti, Leonarda Carnimeo, Giovanni Dimauro, Vitoantonio Bevilacqua · 2020 · Neurocomputing

    Cites data paper 74 citations

74. L-SeqSleepNet: Whole-cycle Long Sequence Modeling for Automatic Sleep Staging

    Huy Phan, Kristian P. Lorenzen, Elisabeth R. M. Heremans, Oliver Y. Chén, Minh C. Tran, Philipp Koch, Alfred Mertins, Mathias Baumert, Kaare B. Mikkelsen, Maarten De Vos · 2023 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 73 citations

75. EEG-Based Sleep Stage Classification via Neural Architecture Search

    Gangwei Kong, Chang Li, Hu Peng, Zhihui Han, Heyuan Qiao · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 71 citations

76. EEG sleep stages identification based on weighted undirected complex networks

    Mohammed Diykh, Yan Li, Shahab Abdulla · 2019 · Computer Methods and Programs in Biomedicine

    Cites data paper 71 citations

77. EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features

    Supriya Supriya, Siuly Siuly, Hua Wang, Yanchun Zhang · 2018 · IEEE Transactions on Emerging Topics in Computational Intelligence

    Cites data paper 70 citations

78. Deep Learning in Automatic Sleep Staging With a Single Channel Electroencephalography

    Mingyu Fu, Yitian Wang, Zixin Chen, Jin Li, Fengguo Xu, Xinyu Liu, Fengzhen Hou · 2021 · Frontiers in Physiology

    Cites data paper 69 citations

79. Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method

    Ömer F. Alçіn, Siuly Siuly, Varun Bajaj, Yanhui Guo, Abdulkadir Şengu ̈r, Yanchun Zhang · 2016 · Neurocomputing

    Cites data paper 69 citations

80. Sleep EEG signal analysis based on correlation graph similarity coupled with an ensemble extreme machine learning algorithm

    Shahab Abdulla, Mohammed Diykh, Raid Luaibi Laft, Khalid Saleh, Ravinesh C. Deo · 2019 · Expert Systems with Applications

    Cites data paper 69 citations

81. A Graph-Temporal Fused Dual-Input Convolutional Neural Network for Detecting Sleep Stages from EEG Signals

    Qing Cai, Zhongke Gao, Jianpeng An, Shuang Gao, Celso Grebogi · 2020 · IEEE Transactions on Circuits & Systems II Express Briefs

    Cites data paper 67 citations

82. SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG

    Dongdong Zhou, Jian Wang, Guoqiang Hu, Jiacheng Zhang, Fan Li, Rui Yan, Lauri Kettunen, Zheng Chang, Qi Xu, Fengyu Cong · 2022 · Biomedical Signal Processing and Control

    Cites data paper 65 citations

83. Automatic Sleep Stage Classification With Single Channel EEG Signal Based on Two-Layer Stacked Ensemble Model

    Jinjin Zhou, Guang‐Sheng Wang, Junbiao Liu, Duanpo Wu, Weifeng Xu, Zimeng Wang, Jing Ye, Ming Xia, Ying Hu, Yuanyuan Tian · 2020 · IEEE Access

    Cites data paper 64 citations

84. End-to-end sleep staging using convolutional neural network in raw single-channel EEG

    Fan Li, Rui Yan, Reza Mahini, Lai Wei, Zhiqiang Wang, Klaus Mathiak, Rong Liu, Fengyu Cong · 2020 · Biomedical Signal Processing and Control

    Cites data paper 64 citations

85. A Comprehensive Review of Explainable AI in Deep Learning Algorithms for EEG Analysis

    Oriana Presacan, Jaya Ojha, Anis Yazidi, Eric Monteiro, Pedro G. Lind · 2025 · ACM Transactions on Computing for Healthcare

    Cites data paper 6 citations

86. Machine learning for diagnosis and monitoring of sleep apnea

    Dmytro Tkachenko, Ihor Krush, Vitalii Mykhalko, Анатолій Петренко · 2020 · System research and information technologies

    Cites data paper 2 citations

87. Laying the Foundation: Modern Transformers for Gold-Standard Sleep Analysis and Beyond

    William G. Coon, Mattson Ogg · 2024 · bioRxiv (Cold Spring Harbor Laboratory)

    Cites data paper 2 citations

88. PIANet: a parallel interactive attention network for multi-channel PSG-based sleep staging

    Xiang Li, Kebin Jia, Zheng Jin · 2026 · Biomedical Physics & Engineering Express

    Cites data paper

89. Analysis of federated learning on non-independent and identically distributed sleep data

    Adriana Anido-Alonso, Diego Alvarez-Estevez · 2026 · Physiological Measurement

    Cites data paper

90. Neural field model simulation of changes in cortical slow-wave sleep events by sensory stimulation in plasticity-evolving NREM sleep

    Felipe Torres Torres, Patricio Orio, María-José Escobar · 2022 · Research Square

    Cites data paper

No citations of that kind for this dataset.