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Surrey cEEGrid sleep data set

ds005207 · 94 high-confidence citations

  1. SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

    Huy Phan, Fernando Andreotti, Navin Cooray, Oliver Y. Chén, Maarten De Vos · 2019 · IEEE Transactions on Neural Systems and Rehabilitation Engineering

    Cites data paper 582 citations

  2. The future of sleep health: a data-driven revolution in sleep science and medicine

    Ignacio Perez-Pozuelo, Bing Zhai, João Palotti, Raghvendra Mall, Michaël Aupetit, Juan M. García‐Gómez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque · 2020 · npj Digital Medicine

    Cites data paper 308 citations

  3. 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 306 citations

  4. 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

  5. Wireless EEG: A survey of systems and studies

    Guiomar Niso, Elena Romero, Jeremy T. Moreau, Álvaro Araújo, Laurens R. Krol · 2022 · NeuroImage

    Cites data paper 247 citations

  6. Agreement between actigraphic and polysomnographic measures of sleep in adults with and without chronic conditions: A systematic review and meta-analysis

    Samantha Conley, Andrea Knies, Janene Batten, Garrett I. Ash, Brienne Miner, Youri Hwang, Sangchoon Jeon, Nancy S. Redeker · 2019 · Sleep Medicine Reviews

    Cites data paper 166 citations

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

    Syed Anas Imtiaz · 2021 · Sensors

    Cites data paper 165 citations

  8. 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

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

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

    Cites data paper 143 citations

  10. Accurate whole-night sleep monitoring with dry-contact ear-EEG

    Kaare B. Mikkelsen, Yousef R. Tabar, Simon L. Kappel, Christian Bech Christensen, Hans O. Toft, Martin Christian Hemmsen, Mike Lind Rank, Marit Otto, Preben Kidmose · 2019 · Scientific Reports

    Cites data paper 127 citations

  11. Machine‐learning‐derived sleep–wake staging from around‐the‐ear electroencephalogram outperforms manual scoring and actigraphy

    Kaare B. Mikkelsen, James K. Ebajemito, María‐Ángeles Bonmatí‐Carrión, Nayantara Santhi, Victoria L. Revell, Giuseppe Atzori, Ciro della Monica, Stefan Debener, Derk‐Jan Dijk, Annette Sterr, Maarten De Vos · 2018 · Journal of Sleep Research

    Cites data paper 96 citations

  12. Reinventing polysomnography in the age of precision medicine

    Diane C Lim, Diego R. Mazzotti, Kate Sutherland, Jesse Mindel, Jinyoung Kim, Peter A. Cistulli, Ulysses J. Magalang, Allan I Pack, Philip de Chazal, Thomas Penzel · 2020 · Sleep Medicine Reviews

    Cites data paper 92 citations

  13. 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 80 citations

  14. Expert-level automated sleep staging of long-term scalp electroencephalography recordings using deep learning

    Maurice Abou Jaoude, Haoqi Sun, Kyle R. Pellerin, Milena Pavlova, Rani A. Sarkis, Sydney S. Cash, M. Brandon Westover, Alice Lam · 2020 · SLEEP

    Cites data paper 73 citations

  15. Design of hydrogel-based wearable EEG electrodes for medical applications

    Ju-Chun Hsieh, Yang Li, Huiqian Wang, Huiqian Wang, Matt Perz, Qiong Tang, Kai Wing Kevin Tang, Ilya Pyatnitskiy, Raymond Reyes, Hong Ding, Huiliang Wang, Huiliang Wang · 2022 · Journal of Materials Chemistry B

    Cites data paper 72 citations

  16. Sleep Physiology, Circadian Rhythms, Waking Performance and the Development of Sleep-Wake Therapeutics

    Derk‐Jan Dijk, Hans‐Peter Landolt · 2019 · Handbook of experimental pharmacology

    Cites data paper 71 citations

  17. The future of wearable EEG: a review of ear-EEG technology and its applications

    Netiwit Kaongoen, Jae-Hoon Choi, Jin Woo Choi, Haram Kwon, Chaeeun Hwang, Guebin Hwang, Byung Hyung Kim, Sungho Jo · 2023 · Journal of Neural Engineering

    Cites data paper 62 citations

  18. Comparative analysis of different characteristics of automatic sleep stages

    Dechun Zhao, Yi Wang, Qiangqiang Wang, Xing Wang · 2019 · Computer Methods and Programs in Biomedicine

    Cites data paper 55 citations

  19. Automated Sleep Stage Scoring Using Time-Frequency Spectra Convolution Neural Network

    Pankaj Jadhav, Siddhartha Mukhopadhyay · 2022 · IEEE Transactions on Instrumentation and Measurement

    Cites data paper 48 citations

  20. Ear-EEG for sleep assessment: a comparison with actigraphy and PSG

    Yousef R. Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Marit Otto, Preben Kidmose · 2020 · Sleep And Breathing

    Cites data paper 46 citations

  21. Personalized automatic sleep staging with single-night data: a pilot study with Kullback–Leibler divergence regularization

    Huy Phan, Kaare Mikkelsen, Oliver Y Chén, Philipp Koch, Alfred Mertins, Preben Kidmose, Maarten De Vos · 2020 · Physiological Measurement

    Cites data paper 42 citations

  22. Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch

    Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos · 2019 · 2019 27th European Signal Processing Conference (EUSIPCO)

    Cites data paper 42 citations

  23. Evaluating Mental Load During Realistic Driving Simulations by Means of Round the Ear Electrodes

    Edmund Wascher, Stefan Arnau, Julian Elias Reiser, Georg Rudinger, Melanie Karthaus, Gerhard Rinkenauer, Felix Dreger, Stephan Getzmann · 2019 · Frontiers in Neuroscience

    Cites data paper 41 citations

  24. Sleep Monitoring Using Ear-Centered Setups: Investigating the Influence From Electrode Configurations

    Kaare B. Mikkelsen, Huy Phan, Mike Lind Rank, Martin Christian Hemmsen, Maarten De Vos, Preben Kidmose · 2021 · IEEE Transactions on Biomedical Engineering

    Cites data paper 38 citations

  25. Transferring Structured Knowledge in Unsupervised Domain Adaptation of a Sleep Staging Network

    Chaehwa Yoo, Hyang Woon Lee, Je‐Won Kang · 2021 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 38 citations

  26. Automatic detection of microsleep episodes with feature-based machine learning

    Jelena Skoručak, Anneke Hertig-Godeschalk, David R. Schreier, Alexander Malafeev, Johannes Mathis, Peter Achermann · 2019 · SLEEP

    Cites data paper 37 citations

  27. Recent Advancement in Sleep Technologies: A Literature Review on Clinical Standards, Sensors, Apps, and AI Methods

    Gozde Cay, Vignesh Ravichandran, Shehjar Sadhu, Alyssa Hillary Zisk, Amy L. Salisbury, Dhaval Solanki, Kunal Mankodiya · 2022 · IEEE Access

    Cites data paper 37 citations

  28. From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging

    Elisabeth R. M. Heremans, Huy Phan, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos · 2022 · Journal of Neural Engineering

    Cites data paper 36 citations

  29. Flex-Printed Ear-EEG Sensors for Adequate Sleep Staging at Home

    Carlos F. da Silva Souto, Wiebke Pätzold, Karen Insa Wolf, Marina Paul, Ida Matthiesen, Martin G. Bleichner, Stefan Debener · 2021 · Frontiers in Digital Health

    Cites data paper 35 citations

  30. Automatic sleep stage classification based on subcutaneous EEG in patients with epilepsy

    Sirin W. Gangstad, Kaare B. Mikkelsen, Preben Kidmose, Yousef R. Tabar, Sigge Weisdorf, Maja Hedegaard Lauritzen, Martin Christian Hemmsen, Lars Kai Hansen, Troels W. Kjær, Jonas Duun‐Henriksen · 2019 · BioMedical Engineering OnLine

    Cites data paper 35 citations

  31. SeriesSleepNet: an EEG time series model with partial data augmentation for automatic sleep stage scoring

    Minji Lee, Heon-Gyu Kwak, Hyeong-Jin Kim, Dong-Ok Won, Seong–Whan Lee · 2023 · Frontiers in Physiology

    Cites data paper 31 citations

  32. Open-source concealed EEG data collection for Brain-computer-interfaces - neural observation through OpenBCI amplifiers with around-the-ear cEEGrid electrodes

    Michael Thomas Knierim, Christoph Berger, Pierluigi Reali · 2021 · Brain-Computer Interfaces

    Cites data paper 29 citations

  33. Sleep Measurement Using Wrist-Worn Accelerometer Data Compared with Polysomnography

    John D. Chase, Michael A. Busa, John Staudenmayer, John R. Sirard · 2022 · Sensors

    Cites data paper 27 citations

  34. Application of genetic algorithm based support vector machine in selection of new EEG rhythms for drowsiness detection

    Hui Wang, Lei Zhang, Longxu Yao · 2021 · Expert Systems with Applications

    Cites data paper 26 citations

  35. Clinical validation of a mandibular movement signal based system for the diagnosis of pediatric sleep apnea

    Jean‐Benoît Martinot, Valérie Cuthbert, N.N. Le-Dong, Nathalie Coumans, Deborah De Marneffe, Clément Letesson, Jean‐Louis Pépin, David Gozal · 2021 · Pediatric Pulmonology

    Cites data paper 26 citations

  36. Flex-printed forehead EEG sensors (fEEGrid) for long-term EEG acquisition

    Sarah Blum, Reiner Emkes, Falk Minow, Jan Anlauff, Andrea Finke, Stefan Debener · 2020 · Journal of Neural Engineering

    Cites data paper 25 citations

  37. EEG-based headset sleep wearable devices

    Karmen Markov, Mohamed Elgendi, Carlo Menon · 2024 · npj Biosensing

    Cites data paper 22 citations

  38. Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG

    Akseli Leino, Henri Korkalainen, Laura Kalevo, Sami Nikkonen, Samu Kainulainen, Alexander Ryan, Brett Duce, Kirsi Sipilä, Jari Ahlberg, Johanna Sahlman, T A Miettinen, Susanna Westerén-Punnonen, Esa Mervaala, Juha Töyräs, Sami Myllymaa, Timo Leppänen, Katja Myllymaa · 2022 · IEEE Access

    Cites data paper 20 citations

  39. Investigation of low dimensional feature spaces for automatic sleep staging

    Yousef R. Tabar, Kaare B. Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose · 2021 · Computer Methods and Programs in Biomedicine

    Cites data paper 19 citations

  40. Ear‐EEG‐based sleep scoring in epilepsy: A comparison with scalp‐EEG

    Sofie Drevsholt Jørgensen, Ivan C. Zibrandtsen, Troels W. Kjær · 2019 · Journal of Sleep Research

    Cites data paper 19 citations

  41. Assessing focus through ear-EEG: a comparative study between conventional cap EEG and mobile in- and around-the-ear EEG systems

    Gabrielle Crétot-Richert, Maarten De Vos, Stefan Debener, Martin G. Bleichner, Jérémie Voix · 2023 · Frontiers in Neuroscience

    Cites data paper 19 citations

  42. Automatic sleep scoring using patient-specific ensemble models and knowledge distillation for ear-EEG data

    Kenneth Borup, Preben Kidmose, Huy Phan, Kaare B. Mikkelsen · 2022 · Biomedical Signal Processing and Control

    Cites data paper 18 citations

  43. Automatic annotation correction for wearable EEG based epileptic seizure detection

    Jingwei Zhang, Christos Chatzichristos, Kaat Vandecasteele, Lauren Swinnen, Victoria Broux, Evy Cleeren, Wim Van Paesschen, Maarten De Vos · 2022 · Journal of Neural Engineering

    Cites data paper 17 citations

  44. Fusion of End-to-End Deep Learning Models for Sequence-to-Sequence Sleep Staging

    Huy Phan, Oliver Y. Chén, Philipp Koch, Alfred Mertins, Maarten De Vos · 2019 · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    Cites data paper 16 citations

  45. Feature matching as improved transfer learning technique for wearable EEG

    Elisabeth R. M. Heremans, Huy Phan, Amir H. Ansari, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten De Vos · 2022 · Biomedical Signal Processing and Control

    Cites data paper 15 citations

  46. Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography

    Troels W. Kjær, Mike Lind Rank, Martin Christian Hemmsen, Preben Kidmose, Kaare B. Mikkelsen · 2022 · PLOS Digital Health

    Cites data paper 14 citations

  47. Self-applied ear-EEG for sleep monitoring at home

    Kaare B. Mikkelsen, Yousef R. Tabar, Hans O. Toft, Martin Christian Hemmsen, Mike Lind Rank, Preben Kidmose · 2022 · 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

    Cites data paper 14 citations

  48. Measuring Correlates of Mental Workload During Simulated Driving Using cEEGrid Electrodes: A Test–Retest Reliability Analysis

    Stephan Getzmann, Julian Elias Reiser, Melanie Karthaus, Georg Rudinger, Edmund Wascher · 2021 · Frontiers in Neuroergonomics

    Cites data paper 14 citations

  49. Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage

    Abdullah Ahmed, Augusto García-Agúndez, Ivana Petrović, Fatemeh Radaei, James D. Fife, John Zhou, Hunter Karas, Scott Moody, Jonathan Drake, Richard N. Jones, Carsten Eickhoff, Michael Reznik · 2023 · Frontiers in Neurology

    Cites data paper 13 citations

  50. A simplified design of a cEEGrid ear-electrode adapter for the OpenBCI biosensing platform

    Michael Thomas Knierim, Max Schemmer, Niklas Bauer · 2022 · HardwareX

    Cites data paper 12 citations

  51. A clinical-translational review of sleep problems in neurodevelopmental disabilities

    Sarika U. Peters, Althea Robinson Shelton, Beth A. Malow, Jeffrey L. Neul · 2024 · Journal of Neurodevelopmental Disorders

    Cites data paper 12 citations

  52. Evaluation of Dreem headband for sleep staging and EEG spectral analysis in people living with Alzheimer’s disease and older adults

    Kiran K G Ravindran, Ciro della Monica, Giuseppe Atzori, Ramin Nilforooshan, Hana Hassanin, Victoria L. Revell, Derk‐Jan Dijk · 2025 · SLEEP

    Cites data paper 11 citations

  53. Advancing Wearable BCI: Headphone EEG for Cognitive Load Detection in Lab and Field

    Michael Thomas Knierim, Christian Zimny, Gabriel Ivucic, Tobias Röddiger · 2025 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

    Cites data paper 11 citations

  54. A sleep staging model on wavelet-based adaptive spectrogram reconstruction and light weight CNN

    Keling Fei, Jianghui Wang, Lizhen Pan, Xu Wang, Baohong Chen · 2024 · Computers in Biology and Medicine

    Cites data paper 9 citations

  55. Automated Sleep Stage Analysis and Classification Based on Different Age Specified Subjects From a Single-Channel of EEG Signal

    Santosh Kumar Satapathy, Hari Kishan Kondaveeti · 2021 · n/a

    Cites data paper 9 citations

  56. Predicting Sleep Classification Performance without Labels

    Kaare B. Mikkelsen, Yousef R. Tabar, Preben Kidmose · 2020 · 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

    Cites data paper 9 citations

  57. Feasibility of wearable devices and machine learning for sleep classification in children with Rett syndrome: A pilot study

    Miroslava Migovich, Akshith Ullal, Cary Fu, Sarika U. Peters, Nilanjan Sarkar · 2023 · Digital Health

    Cites data paper 9 citations

  58. Discrimination of Sleep Spindles in Ear-EEG

    Kaare B. Mikkelsen, Simon L. Kappel, Martin Christian Hemmsen, Mike Lind Rank, Preben Kidmose · 2019 · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    Cites data paper 9 citations

  59. Quantifying the impact of data characteristics on the transferability of sleep stage scoring models

    Akara Supratak, Peter Haddawy · 2023 · Artificial Intelligence in Medicine

    Cites data paper 8 citations

  60. Long‐term <scp>ear‐EEG</scp> monitoring of sleep – A case study during shift work

    Sofie Drevsholt Jørgensen, Preben Kidmose, Kaare B. Mikkelsen, Maxine Blech, Martin Christian Hemmsen, Mike Lind Rank, Troels W. Kjær · 2023 · Journal of Sleep Research

    Cites data paper 8 citations

  61. SleepGCN: A transition rule learning model based on Graph Convolutional Network for sleep staging

    Xuhui Wang, Yuanyuan Zhu · 2024 · Computer Methods and Programs in Biomedicine

    Cites data paper 8 citations

  62. Transparent electroencephalography? : Exploring ear-EEG for long-term, mobile electrophysiology

    Stefan Debener, Martin G. Bleichner · 2019 · n/a

    Cites data paper 7 citations

  63. A Knowledge Distillation Framework for Enhancing Ear-EEG Based Sleep Staging with Scalp-EEG Data

    Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel, Chamira U. S. Edussooriya, Anjula De Silva · 2023 · 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

    Cites data paper 6 citations

  64. A custom‐built single‐channel in‐ear electroencephalography sensor for sleep phase detection: an interdependent solution for at‐home sleep studies

    Daniel Filipe Borges, Joana Isabel Soares, Heloísa Silva, João Felgueiras, Carla Batista, Simão Ferreira, Nuno Rocha, Alberto Leal · 2024 · Journal of Sleep Research

    Cites data paper 5 citations

  65. Comparison analysis between standard polysomnographic data and in-ear-electroencephalography signals: a preliminary study

    Gianpaolo Palo, Luigi Fiorillo, Giuliana Monachino, Michal Bechný, Michel Wälti, Elias Meier, Francesca Pentimalli Biscaretti di Ruffia, Mark Melnykowycz, Athina Tzovara, Valentina Agostini, Francesca Dalia Faraci · 2024 · SLEEP Advances

    Cites data paper 5 citations

  66. A direct comparison of simultaneously recorded scalp, around-ear and in-ear EEG for neural selective auditory attention decoding to speech

    Simon Geirnaert, Simon L. Kappel, Preben Kidmose · 2025 · Scientific Reports

    Cites data paper 5 citations

  67. Evaluating the performance of wearable EEG sleep monitoring devices: a meta-analysis approach

    Karmen Markov, Mohamed Elgendi, Carlo Menon · 2025 · npj Biomedical Innovations.

    Cites data paper 5 citations

  68. Hearables: In-Ear Multimodal Brain Computer Interfacing

    Metin Yarıcı, Harry J. Davies, Takashi Nakamura, Ian Williams, Danilo P. Mandic · 2021 · Springer briefs in electrical and computer engineering

    Cites data paper 5 citations

  69. Light-weight sleep monitoring: electrode distance matters more than placement for automatic scoring

    Kaare B. Mikkelsen, Huy Phan, Mike Lind Rank, Martin Christian Hemmsen, Maarten De Vos, Preben Kidmose · 2021 · arXiv (Cornell University)

    Cites data paper 4 citations

  70. Exploring the Recognition of Facial Activities Through Around-The-Ear Electrode Arrays (cEEGrids)

    Michael Thomas Knierim, Max Schemmer, Monica Perusquía-Hernández · 2021 · Lecture notes in information systems and organisation

    Cites data paper 4 citations

  71. Domain Adaptation Using Large Scale Databases for Sleep Staging from a Novel In-Ear Sensor

    Samuel H. Waters, Jonathan Berent, P. Saini, Gari Clifford · n/a

    Cites data paper 4 citations

  72. Using Machine Learning to Determine Optimal Sleeping Schedules of Individual College Students

    Orlando Yahir Azuara-Hernandez, Zachary Gillette · 2022 · Lecture notes in computer science

    Cites data paper 3 citations

  73. Automated remote sleep monitoring needs machine learning with uncertainty quantification

    Elisabeth R. M. Heremans, Laura Van den Bulcke, Nabeel Seedat, Astrid Devulder, Pascal Borzée, Bertien Buyse, Dries Testelmans, Maarten Van Den Bossche, Mihaela van der Schaar, Maarten De Vos · 2023 · Research Square

    Cites data paper 3 citations

  74. GraphSleepFormer: a multi-modal graph neural network for sleep staging in OSA patients

    Chen Wang, Xiuquan Jiang, Chengyan Lv, Qi Meng, Pengcheng Zhao, Yan Di, Chao Feng, Fangzhou Xu, Shanshan Lu, Tzyy‐Ping Jung, Jiancai Leng · 2025 · Journal of Neural Engineering

    Cites data paper 3 citations

  75. An Automatic Sleep Stage Classification Approach Based on Multi-Spike Supervised Learning

    Ziyi Zhao, Xianghong Lin, Mengwei Zhang · 2019 · 2019 12th International Symposium on Computational Intelligence and Design (ISCID)

    Cites data paper 3 citations

  76. About Digitalisation and <scp>AI</scp> , Data Protection, Data Exchange, Data Mining—Legal Constraints/Challenges Concerning Sleep Medicine

    Bernd Feige, Fee Benz, Raphael J. Dressle, Dieter Riemann · 2025 · Journal of Sleep Research

    Cites data paper 2 citations

  77. Wearable Sensors for Monitoring Abnormalities in Sleep-Related Breathing

    Jiaqi Wang, Jincheng Xu, Junjie Ma, Jinyi Gong, Li Ji, Wenbin Guo, Huijun Yue, Yancong Qiao, Jianhua Zhou · 2026 · ACS Applied Materials & Interfaces

    Cites data paper 2 citations

  78. Sleep-CMKD: Self-Attention CNN/Transformer Cross-Model Knowledge Distillation for Automatic Sleep Staging

    Hyounggyu Kim, Moogyeong Kim, Wonzoo Chung · 2023 · 2023 11th International Winter Conference on Brain-Computer Interface (BCI)

    Cites data paper 2 citations

  79. Old and new methods in sleep research/sleep medicine and insomnia

    Dieter Riemann · 2019 · Journal of Sleep Research

    Cites data paper 1 citations

  80. SelectiveFinetuning: Enhancing Transfer Learning In Sleep Staging Through Selective Domain Alignment

    Siyuan Zhao, Chenyu Liu, Yi Ding, Xinliang Zhou · 2025 · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    Cites data paper 1 citations

  81. Causal-aware reliability assessment of single-channel EEG for transformer-based sleep staging

    Yongkang Hu, Xiangbo Yang, Yunhan Xu, Jingpeng Sun · 2025 · Frontiers in Neuroscience

    Cites data paper 1 citations

  82. EEG data alignment across devices using a neural network

    Peter Olsen, Andreas Tind Damgaard, Nannapas Banluesombatkul, Kaare B. Mikkelsen · 2025 · 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    Cites data paper 1 citations

  83. The evaluation of cEEGrids for fatigue detection in aviation

    Carmen van Klaren, Anneloes Maij, Laurie Marsman, A. van Drongelen · 2024 · SLEEP Advances

    Cites data paper 1 citations

  84. Automatic Sleep Staging of Single-Channel Ear-EEG Signals With a Probabilistic Ensemble Learning Approach

    Hongyu Liang, Yongxuan Wang, Le Yang, Mei‐Mei Wu, Dan Wang, Xiaohong Wang, Rong Liu · 2025 · IEEE Journal of Biomedical and Health Informatics

    Cites data paper 1 citations

  85. Methods for assessing sleep and sleepiness in healthy adults and patients with respiratory sleep disorders

    Yousef D. Alqurashi · 2019 · Spiral (Imperial College London)

    Cites data paper 1 citations

  86. Machine learning approaches in sleep and circadian research

    Margeaux M. Schade, Daniel M. Roberts, Vasant Honavar, Orfeu M. Buxton · 2022 · Elsevier eBooks

    Cites data paper

  87. Building neural networks’ latent space to extract instance-based explanations for sleep staging

    Guido Gagliardi, Antonio Luca Alfeo, Mario G.C.A. Cimino, Gaetano Valenza, Maarten De Vos · 2025 · 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

    Cites data paper

  88. SleepLog: Local-Global Deep Fusion Learning for Sleep Staging Transformer

    Jingpeng Sun, Chen Chen, Weiping Ding, Xiyuan Hu · 2025 · IEEE Transactions on Artificial Intelligence

    Cites data paper

  89. Comparing polysomnography auto scoring with the standard of care in sleep medicine

    Faris Alhejaili · 2025 · Annals of Thoracic Medicine

    Cites data paper

  90. A Fully-Computational Approach for Quantifying the Transferability in Sleep Stage Scoring

    Akara Supratak · 2022 · SSRN Electronic Journal

    Cites data paper

  91. Wearable in-ear electroencephalography for real world applications : sleep monitoring and person authentication

    Takashi Nakamura · 2019 · n/a

    Cites data paper

  92. The effects of bioavailable omega-3 polyunsaturated fatty acids, delivered at bedtime, on brain function, sleep, cognition and mood in healthy adults

    Michael J Patan · 2019 · n/a

    Cites data paper

  93. Stage-Dependent, Modality-Specific Coherence Regimes and Transition-Aligned Dynamics in Human Sleep

    Bhasin Ankur · 2025 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

  94. Stage-Dependent, Modality-Specific Coherence Regimes and Transition-Aligned Dynamics in Human Sleep

    Bhasin Ankur · 2025 · Zenodo (CERN European Organization for Nuclear Research)

    Cites dataset

2 lower-confidence citations (not counted)
  1. Machine learning allows expert level classification of intraoperative motor evoked potentials during neurosurgical procedures

    Alessandro Boaro, Alberto Azzari, Federica Basaldella, Sonia Nunes, Alberto Feletti, Manuele Bicego, Francesco Sala · 2024 · Computers in Biology and Medicine

    Cites data paper 12 citations

  2. Artificial intelligence in obstructive sleep apnea: Transforming diagnosis and management

    Surya Prakash Bhatt, Amisha Khurana · 2025 · Respiratory Medicine

    Cites data paper 6 citations