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

28 September 2018

Papers citing "SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging"

50 / 79 papers shown

Title
PSG-MAE: Robust Multitask Sleep Event Monitoring using Multichannel PSG Reconstruction and Inter-channel Contrastive Learning Yifei Wang Qi Liu Fuli Min Honghao Wang 22 0 0 17 Apr 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics Jiahe Li Xin Chen Fanqi Shen Junru Chen Y. Liu Daoze Zhang Zhizhang Yuan F. Zhao Meng Li Yang Yang 38 0 0 24 Feb 2025
Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data Tamal K. Dey Shreyas N. Samaga 48 1 0 22 Feb 2025
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification Younghoon Na Hyun Keun Ahn Hyun-Kyung Lee Yoongeol Lee Seung Hun Oh Hongkwon Kim Jeong-Gun Lee 45 0 0 13 Feb 2025
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging Jingyuan Chen Yuan Yao Mie Anderson Natalie Hauglund Celia Kjaerby Verena Untiet Maiken Nedergaard Jiebo Luo 49 1 0 28 Jan 2025
wav2sleep: A Unified Multi-Modal Approach to Sleep Stage Classification from Physiological Signals Jonathan Carter Lionel Tarassenko MLAU 45 0 0 07 Nov 2024
Automatic Classification of Sleep Stages from EEG Signals Using Riemannian Metrics and Transformer Networks Mathieu Seraphim Alexis Lechervy Florian Yger Luc Brun Olivier Etard 36 1 0 18 Oct 2024
SplitSEE: A Splittable Self-supervised Framework for Single-Channel EEG Representation Learning Rikuto Kotoge Zheng Chen Tasuku Kimura Yasuko Matsubara Takufumi Yanagisawa H. Kishima Yasushi Sakurai OOD SSL 29 1 0 15 Oct 2024
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice Stefan Kraft Andreas Theissler Vera Wienhausen-Wilke Philipp Walter Gjergji Kasneci 33 0 0 20 Sep 2024
Event Detection via Probability Density Function Regression Clark Peng Tolga Dinçer AI4TS 29 0 0 23 Aug 2024
Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models Javier García Ciudad Morten Mørup B. R. Kornum Alexander Neergaard Zahid 29 0 0 06 Jun 2024
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals Rahul Thapa Bryan He Magnus Ruud Kjær IV HyattE.Moore Gauri Ganjoo Emmanuel Mignot James Zou 22 12 0 28 May 2024
CausalConceptTS: Causal Attributions for Time Series Classification using High Fidelity Diffusion Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM AI4TS CML 29 2 0 24 May 2024
WaveSleepNet: An Interpretable Network for Expert-like Sleep Staging Yan Pei Wei Luo 47 0 0 11 Apr 2024
SleepPPG-Net2: Deep learning generalization for sleep staging from photoplethysmography Shirel Attia Revital Shani Hershkovich Alissa Tabakhov Angeleene Ang Sharon Haimov Riva Tauman Joachim A. Behar 39 2 0 10 Apr 2024
Assessing the importance of long-range correlations for deep-learning-based sleep staging Tiezhi Wang Nils Strodthoff 32 1 0 22 Feb 2024
RawECGNet: Deep Learning Generalization for Atrial Fibrillation Detection from the Raw ECG N. Ben-Moshe K. Tsutsui Shany Biton Brimer L. Sörnmo Joachim A. Behar 35 6 0 26 Dec 2023
Generalizable Sleep Staging via Multi-Level Domain Alignment Jiquan Wang Sha Zhao Haiteng Jiang Shijian Li Tao Li Gang Pan 47 9 0 13 Dec 2023
Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging Seungyeon Lee Thai-Hoang Pham Zhao Cheng Ping Zhang 36 0 0 06 Dec 2023
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion Anders Vestergaard Norskov Alexander Neergaard Zahid Morten Morup 45 2 0 13 Nov 2023
S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models Tiezhi Wang Nils Strodthoff 47 5 0 10 Oct 2023
Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability Shivam Kumar Sharma Suvadeep Maiti S. Mythirayee Srijithesh P. Rajendran R. S. Bapi 17 2 0 10 Sep 2023
U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging E. Heremans Nabeel Seedat B. Buyse D. Testelmans M. Schaar Marina De Vos 26 5 0 07 Jun 2023
EEG-based Sleep Staging with Hybrid Attention Xin-qiu Zhou Chenyu Liu Jiaping Xiao Yang Liu 11 1 0 16 May 2023
Quantifying the Impact of Data Characteristics on the Transferability of Sleep Stage Scoring Models A. Supratak Peter Haddawy 18 7 0 28 Mar 2023
CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities Konstantinos Kontras Christos Chatzichristos Huy P Phan Johan A. K. Suykens Marina De Vos AI4TS 24 11 0 27 Mar 2023
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage Iksoo Choi Wonyong Sung MLAU 6 0 0 17 Feb 2023
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations S. Gaugel M. Reichert AI4TS 27 16 0 27 Jan 2023
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging Huy P Phan Kristian P. Lorenzen E. Heremans Oliver Y. Chén Minh C. Tran P. Koch Alfred Mertins M. Baumert Kaare B. Mikkelsen Marina De Vos 18 43 0 09 Jan 2023
ProductGraphSleepNet: Sleep Staging using Product Spatio-Temporal Graph Learning with Attentive Temporal Aggregation A. Einizade S. Nasiri S. H. Sardouie G. Clifford 21 14 0 09 Dec 2022
Identification of Surface Defects on Solar PV Panels and Wind Turbine Blades using Attention based Deep Learning Model Divyanshi Dwivedi K. V. S. M. Babu P. Yemula Pratyush Chakraborty M. Pal 72 37 0 23 Nov 2022
Performance and utility trade-off in interpretable sleep staging Irfan Al-Hussaini Cassie S. Mitchell 20 3 0 07 Nov 2022
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation Emadeldeen Eldele Mohamed Ragab Zhenghua Chen Min-man Wu C. Kwoh Xiaoli Li 21 23 0 10 Oct 2022
PearNet: A Pearson Correlation-based Graph Attention Network for Sleep Stage Recognition Jianchao Lu Yuzhe Tian Shuang Wang Michael Sheng Xianglin Zheng GNN 27 6 0 26 Sep 2022
Avoiding Post-Processing with Event-Based Detection in Biomedical Signals N. Seeuws Marina De Vos Alexander Bertrand 13 2 0 22 Sep 2022
SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features Irfan Al-Hussaini Cassie S. Mitchell 16 7 0 21 Sep 2022
SleePyCo: Automatic Sleep Scoring with Feature Pyramid and Contrastive Learning Seongju Lee Yeonguk Yu S. Back H. Seo Kyoobin Lee 28 28 0 20 Sep 2022
U-Sleep's resilience to AASM guidelines Luigi Fiorillo Giuliana Monachino J. van der Meer M. Pesce J. Warncke Markus H. Schmidt C. Bassetti A. Tzovara Paolo Favaro F. Faraci 39 24 0 19 Sep 2022
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers Jathurshan Pradeepkumar Mithunjha Anandakumar Vinith Kugathasan Dhinesh Suntharalingham S. L. Kappel A. D. Silva Chamira U. S. Edussooriya 31 31 0 15 Aug 2022
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning Abdelhak Lemkhenter Paolo Favaro 21 6 0 27 Jul 2022
A multi-level interpretable sleep stage scoring system by infusing experts' knowledge into a deep network architecture H. Niknazar S. Mednick 16 4 0 11 Jul 2022
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring Luigi Fiorillo Davide Pedroncelli Valentina Agostini Paolo Favaro F. Faraci 8 13 0 05 Jul 2022
HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records Hanyang Liu Sunny S. Lou Benjamin C. Warner Derek Harford Thomas Kannampallil Chenyang Lu LM&MA HAI 29 9 0 24 May 2022
Automated Sleep Staging via Parallel Frequency-Cut Attention Zheng Chen Ziwei Yang Lingwei Zhu Wei Chen T. Tamura N. Ono M. Altaf-Ul-Amin Shigehiko Kanaya Ming Huang 18 17 0 07 Apr 2022
TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging Jaeun Phyo Wonjun Ko Eunjin Jeon Heung-Il Suk 19 31 0 22 Mar 2022
Feature matching as improved transfer learning technique for wearable EEG E. Heremans Huy P Phan A. Ansari Pascal Borzée B. Buyse D. Testelmans M. D. Vos OOD 21 10 0 29 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 29 8 0 03 Dec 2021
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing B. Zhai Yu Guan M. Catt Thomas Ploetz 16 6 0 19 Nov 2021
Automatic Sleep Staging of EEG Signals: Recent Development, Challenges, and Future Directions Huy P Phan Kaare B. Mikkelsen 19 93 0 03 Nov 2021
SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging Hongjun Zhang Jing Wang Qinfeng Xiao Jiaoxue Deng Youfang Lin 15 8 0 15 Oct 2021